Category Archives: Video games

Trends reunited: How has gambling changed? (Part 1)

I was recently asked by the editor of the Society for the Study of Gambling Newsletter to write an article for the 50th anniversary issue. I used the opportunity to look back at what I believe to be the most major changes that I have witnessed in the gambling field since I started my research career in 1987. Obviously I was biased in my choice. Today’s blog looks at five things that I predicted would happen: (i) gambling coming out of gambling environments, (ii) the increased use of technology in gambling activities, (iii) gambling becoming a more asocial activity, (iv) the rise of remote gambling, (v) the changing nature of family entertainment, and (vi) increase in gambling and gaming convergence. Part 2 of this blog will looks at changes that I didn’t see coming at all!

Gambling coming out of gambling environments: I remember vividly when the UK National Lottery was introduced in November 1994. One of the hidden impacts since the introduction of the National Lottery was that this was a widespread act of gambling that had been taken out of the gambling environment on a national scale. Pre-National Lottery, legal gambling mainly took place in betting shops, casinos, amusement arcades, and bingo halls. Admittedly, there were exceptions including the football pools and fruit machines on single site premises. However, gambling can now be done in a wide variety of retail outlets. It is also clear that the newer forms of gambling (such as Internet gambling) are activities that are done almost exclusively from non-gambling environments – usually the home or the workplace.

The increased use of technology in gambling activities: Technology has always played a role in the development of gambling practices. I have argued in many of my papers that gaming is driven by technological advance and these new technologies may provide many people with their first exposure to the world of gambling. Furthermore, to some people they may be more enticing than previous non-technological incarnations. Technology is continuing to provide new market opportunities not only in the shape of Internet gambling but also in the shape of more technologically advanced slot machines and video lottery terminals, interactive television gambling, mobile phone gambling and gambling via social networking sites. In addition, other established gambling forms are becoming more technologically driven (e.g. bingo, keno).

Gambling becoming a more asocial activity: I have argued that one of the consequences of increased use of technology has been to reduce the fundamentally social nature of gambling to an activity that is essentially asocial (e.g. slot machine gambling, video poker, internet gambling, etc.). My research has shown that there are many different types of player based on their primary motivation for playing (e.g. to escape, to beat the machine, for social rewards, for excitement etc.). Those who experience problems are more likely to be those playing on their own (e.g. those playing to escape). An old 1988 study by the UK Home Officealso made the point that those people who played in groups often exerted social influence on problem gamblers in an effort to reduce the problems faced. Retrospectively, most problem gamblers report that at the height of their problem gambling, it is a solitary activity. Gambling in a social setting could potentially provide some kind of ‘safety net’ for over-spenders, i.e., a form of gambling where the primary orientation of gambling is for social reasons with the possibility of some fun and chance to win some money (e.g. bingo). However, I have speculated that those individuals whose prime motivation is to constantly play just to win money would possibly experience more problems. The shift from social to asocial forms of gambling shows no sign of abating. It could therefore be speculated that as gambling becomes more technological, gambling problems may increase due to its asocial nature.

Widespread deregulation and increased opportunities to gamble: Gambling deregulation is now firmly entrenched within Government policy not only in the UK but worldwide. The present situation of stimulating gambling in the UK appears to mirror the previous initiations of other socially condoned but potentially addictive behaviours like drinking (alcohol) and smoking (nicotine). As gambling laws become more relaxed and gambling becomes another product that can be more readily advertised (i.e. “stimulated”) it will lead to a natural increase in uptake of those services. This could lead to more people who experience gambling problems (although this may not be directly proportional) because of the proliferation of gaming establishments and relaxation of legislation. What has been clearly demonstrated from research evidence in other countries is that where accessibility of gambling is increased there is an increase not only in the number of regular gamblers but also an increase in the number of problem gamblers.

The rise of remote gambling:In my early 1990s writings on Internet gambling, my colleagues and I predicted Internet gambling would take off for several reasons. At a very basic level, we argued that gambling in these situations was easy to access as it comes into the home via computer and/or television. I also made the point that Internet gambling had the potential to offer visually exciting effects similar to a variety of electronic machines. Furthermore, virtual environments have the potential to provide short-term comfort, excitement and/or distraction for its users. However, I also argued that there were a number of other more important factors that make online activities like Internet gambling potentially attractive, seductive and/or addictive. Such factors include anonymity, convenience, escape, dissociation / immersion, accessibility, event frequency, interactivity, disinhibition, simulation, and asociability. There are many other specific developments that look likely to facilitate uptake of remote gambling services including (i) sophisticated gaming software, (ii) integrated e-cash systems (including multi-currency), (iii) multi-lingual sites, (iv) increased realism (e.g., “real” gambling via webcams, player and dealer avatars), (v) live remote wagering (for both gambling alone and gambling with others), (vi) improving customer care systems, and (vii) inter-gambler competition.

The changing nature of family entertainment:Back in 2000 I made some speculations about the increase in and development of home entertainment systems and how they would change the pattern of families’ leisure activities. I claimed the increase in and development of home entertainment systems would change the pattern of many families’ leisure activities. I said that the need to seek entertainment leisure outside the home would be greatly reduced as digital television and home cinema systems offer a multitude of interactive entertainment services and information. I claimed many families would adopt a leisure pattern known as “cocooning” where the family or individual concentrates their leisure time around in-house entertainment systems. Rather than going out, the entertainment comes to them direct via digital television and Internet services. Part of this entertainment for many families is online gambling and gaming (particularly, more recently, via social networking). Young people’s use of technology (the so called ‘screenagers’ and ‘digital natives’) has increased greatly over the last two decades and a significant proportion of daily time is spent in front of various screen interfaces most notably videogames, mobile phones (e.g., SMS) and the internet (e.g., social networking sites like Bebo, Facebook). These ‘digital natives’ have never known a world without the internet, mobile phones and interactive television, and are therefore tech-savvy, have no techno-phobia, and very trusting of these new technologies. I have argued that for many of these young people, their first gambling experiences may come not in a traditional offline environment but via the internet, mobile phone or interactive television.

Increase in gambling and gaming convergence: One very salient trend is that technology hardware is becoming increasingly convergent (e.g., cell phones with internet access) and there is increasing multi-media integration. As a consequence, people of all ages are spending more time interacting with technology in the form of Internet, videogames, interactive television, mobile phones, MP3 players, etc. In addition to convergent hardware, there is also convergent content. This includes some forms of gambling including video game elements, video games including gambling elements, online penny auctions that have gambling elements, and television programming with gambling-like elements. Recently, there has been debate as to whether some types of online games should be regarded as a form of gambling, in particular those games in which the player can win or lose points that can be transferred into real life currency. Part 2 to follow!

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Fisher, S. & Griffiths, M.D. (1995). Current trends in slot machine gambling: Research and policy issues. Journal of Gambling Studies, 11, 239-247.

Griffiths, M.D. (1989). Gambling in children and adolescents. Journal of Gambling Behavior, 5, 66-83.

Griffiths, M.D. (1991). The observational study of adolescent gambling in UK amusement arcades. Journal of Community and Applied Social Psychology, 1, 309-320.

Griffiths, M.D. (1995). Adolescent Gambling. London: Routledge.

Griffiths, M.D. (1996). Gambling on the internet: A brief note. Journal of Gambling Studies, 12, 471-474.

Griffiths, M.D. (1997). The National Lottery and scratchcards: A psychological perspective. The Psychologist: Bulletin of the British Psychological Society, 10, 23-26.

Griffiths, M.D. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15, 265-283.

Griffiths, M.D. (2002). Gambling and Gaming Addictions in Adolescence. Leicester: British Psychological Society/Blackwells.

Griffiths, M.D. (2003). Internet gambling: Issues, concerns and recommendations. CyberPsychology and Behavior, 6, 557-568.

Griffiths, M.D. (2006). Impact of gambling technologies in a multi-media world. Casino and Gaming International, 2(2), 15-18.

Griffiths, M.D. (2007). Interactive television quizzes as gambling: A cause for concern? Journal of Gambling Issues, 20, 269-276.

Griffiths, M.D. (2011). Technological trends and the psychosocial impact on gambling. Casino and Gaming International, 7(1), 77-80.

Griffiths, M.D. (2013). Social gambling via Facebook: Further observations and concerns. Gaming Law Review and Economics, 17, 104-106.

Griffiths, M.D. & Auer, M. (2013). The irrelevancy of game-type in the acquisition, development and maintenance of problem gambling. Frontiers in Psychology, 3, 621. doi: 10.3389/fpsyg.2012.00621.

Griffiths, M.D. & Cooper, G. (2003). Online therapy: Implications for problem gamblers and clinicians. British Journal of Guidance and Counselling, 13, 113-135.

Griffiths, M.D. & Parke, J. (2002). The social impact of internet gambling. Social Science Computer Review, 20, 312-320.

Griffiths, M.D. & Parke, J. (2010). Adolescent gambling on the Internet: A review. International Journal of Adolescent Medicine and Health, 22, 59-75.

Griffiths, M.D. & Wood, R.T.A. (2000). Risk factors in adolescence: The case of gambling, video-game playing and the internet. Journal of Gambling Studies, 16, 199-225

Griffiths, M.D. & Wood, R.T.A. (2001). The psychology of lottery gambling. International Gambling Studies, 1, 27-44.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies, 26, 175-187.

Meyer, G., Hayer, T. & Griffiths, M.D. (2009). Problem Gaming in Europe: Challenges, Prevention, and Interventions. New York: Springer.

Parke, J. & Griffiths, M.D. (2006). The psychology of the fruit machine: The role of structural characteristics (revisited). International Journal of Mental Health and Addiction, 4, 151-179.

Net losses: Internet abuse and addiction in the workplace

The following article is a much extended version of an article that was originally published by The Conversation under the title ‘Tweets and cybersex: Workplace web use is a minefield’

A number of market research reports have indicated that many office employees in the UK spend at least one hour of their day at work on various non-work activities (e.g., booking holidays, shopping online, posting messages on social networking sites, playing online games, etc.) and costs businesses millions of pounds a year. These findings highlight that internet abuse is a serious cause for concern – particularly to employers. Furthermore, the long-term effects of internet abuse may have more far-reaching effects for the company that internet abusers work for than the individuals themselves. Abuse also suggests that there may not necessarily be any negative effects for the user other than a decrease in work productivity.

Back in the early 2000s (and using some of Kimberley Young’s work on types of internet addiction) I developed a typology of internet abusers. This included cybersexual Internet abuse, online friendship/relationship abuse, internet activity abuse, online information abuse, criminal internet abuse, and miscellaneous Internet abuse:

  • Cybersexual Internet abuse: This involves the abuse of adult websites for cybersex and cyberporn during work hours. Such behaviours include the reading of online pornographic magazines, the watching of pornographic videos and/or webcams, or the participating in online sexual discussion groups, forums or instant chat facilities
  • Online friendship/relationship abuse: This involves the conducting of an online friendship and/or relationship during work hours. Such a category could also include the use of e-mailing friends, posting messages to friends on social networking sites (e.g., on Facebook, Twitter, etc.), and/or engaging in discussion groups, as well as maintenance of online emotional relationships. Such people may also abuse the Internet by using it to explore gender and identity roles by swapping gender or creating other personas and forming online relationships or engaging in cybersex.
  • Internet activity abuse: This involves the use of the internet during work hours in which other non-work related activities are done (e.g., online gambling, online shopping, online travel booking, online video gaming in massively multiplier games, online day-trading, online casual gaming via social network sites, etc.). This appears to be one of the most common forms of Internet abuse in the workplace.
  • Online information abuse: This involves the abuse of internet search engines and databases (e.g., Googling online for hours, constantly checking Twitter account, etc.). Typically, this involves individuals who search for work-related information on databases etc. but who end up wasting hours of time with little relevant information gathered. This may be deliberate work-avoidance but may also be accidental and/or non-intentional. It may also involve people who seek out general educational information, information for self-help/diagnosis (including online therapy) and/or scientific research for non-work purposes.
  • Criminal Internet abuse: This involves the seeking out individuals who then become victims of sexually-related Internet crime (e.g., online sexual harassment, online trolling, cyberstalking, paedophilic “grooming” of children). The fact that these types of abuse involve criminal acts may have severe implications for employers.
  • Miscellaneous Internet abuse: This involves any activity not found in the above categories such as the digital manipulation of images on the Internet for entertainment and/or masturbatory purposes (e.g., creating celebrity fake photographs where heads of famous people are superimposed onto someone else’s naked body).

There are many factors that make Internet abuse in the workplace seductive. It is clear from research in the area of computer-mediated communication that virtual environments have the potential to provide short-term comfort, excitement, and/or distraction. These provide compelling reasons as to why employees may engage in non-work related internet use. There are also other reasons (opportunity, access, affordability, anonymity, convenience, escape, disinhibition, social acceptance, and longer working hours):

  • Opportunity and access: Obvious pre-cursors to potential Internet abuse includes both opportunity and access to the Internet. Clearly, the internet is now commonplace and widespread, and is almost integral to almost all office workplace environments. Given that prevalence of undesirable behaviours is strongly correlated with increased access to the activity, it is not surprising that the development of internet abuse appears to be increasing across the population. Research into other socially acceptable but potentially problematic behaviours (drinking alcohol, gambling etc.) has demonstrated that increased accessibility leads to increased uptake (i.e., regular use) and that this eventually leads to an increase in problems – although the increase may not be proportional.
  • Affordability: Given the wide accessibility of the internet, it is now becoming cheaper and cheaper to use the online services on offer. Furthermore, for almost all employees, Internet access is totally free of charge and the only costs will be time and the financial costs of some particular activities (e.g., online sexual services, online gambling etc.).
  • Anonymity: The anonymity of the Internet allows users to privately engage in their behaviours of choice in the belief that the fear of being caught by their employer is minimal. This anonymity may also provide the user with a greater sense of perceived control over the content, tone, and nature of their online experiences. The anonymity of the Internet often facilitates more honest and open communication with other users and can be an important factor in the development of online relationships that may begin in the workplace. Anonymity may also increase feelings of comfort since there is a decreased ability to look for, and thus detect, signs of insincerity, disapproval, or judgment in facial expression, as would be typical in face-to-face interactions.
  • Convenience: Interactive online applications such as e-mail, social media, chat rooms, online forums, or role-playing games provide convenient mediums to meet others without having to leave one’s work desk. Online abuse will usually occur in the familiar and comfortable environment of home or workplace thus reducing the feeling of risk and allowing even more adventurous behaviours.
  • Escape: For some, the primary reinforcement of particular kinds of internet abuse (e.g., to engage in an online affair and/or cybersex) is the sexual gratification they experience online. In the case of behaviours like cybersex and online gambling, the experiences online may be reinforced through a subjectively and/or objectively experienced ‘high’. The pursuit of mood-modifying experiences is characteristic of addictions. The mood-modifying experience has the potential to provide an emotional or mental escape and further serves to reinforce the behaviour. Abusive and/or excessive involvement in this escapist activity may lead to problems (e.g., online addictions). Online behaviour can provide a potent escape from the stresses and strains of real life. These activities fall on the continuum from life enhancing to pathological and addictive.
  • Disinhibition: Disinhibition is clearly one of the internet’s key appeals as there is little doubt that the Internet makes people less inhibited. Online users appear to open up more quickly online and reveal themselves emotionally much faster than in the offline world. What might take months or years in an offline relationship may only takes days or weeks online. As a number of researchers have pointed out, the perception of trust, intimacy and acceptance has the potential to encourage online users to use these relationships as a primary source of companionship and comfort.
  • Social acceptability:The social acceptability of online interaction is another factor to consider in this context. What is really interesting is how the perception of online activity has changed over the last 15 years (e.g., the ‘nerdish’ image of the Internet is almost obsolete). It may also be a sign of increased acceptance as young children and adolescents are exposed to technology earlier and so become used to socializing using computers as tools. For instance, laying the foundations for an online relationship in this way has become far more socially acceptable and will continue to be so. Most of these people are not societal misfits as is often claimed – they are simply using the technology as another tool in their social armory.
  • Longer working hours: All over the world, people are working longer hours and it is perhaps unsurprising that many of life’s activities can be performed from the workplace Internet. Take, for example, the case of a single individual looking for a relationship. For these people, the Internet at work may be ideal. Dating via the desktop may be a sensible option for workaholic professionals. It is effectively a whole new electronic “singles bar” which because of its text-based nature breaks down physical prejudices. For others, internet interaction takes away the social isolation that we can all sometimes feel. There are no boundaries of geography, class or nationality. It opens up a whole new sphere of relationship-forming.

Being able to spot someone who is an Internet abuser can be very difficult. However, there are some practical steps that employers can be taken to help minimize the potential problem.

  • Take the issue of internet abuse seriously. Internet abuse and addiction in all their varieties are only just being considered as potentially serious occupational issues. Managers, in conjunction with Personnel Departments need to ensure they are aware of the issues involved and the potential risks it can bring to both their employees and the whole organization. They also need to be aware that for employees who deal with finances, some forms of Internet abuse (e.g., Internet gambling), the consequences for the company can be very great.
  • Raise awareness of internet abuse issues at work. This can be done through e-mail circulation, leaflets, and posters on general notice boards. Some countries will have national and/or local agencies (e.g., technology councils, health and safety organizations etc.) that can supply useful educational literature (including posters). Telephone numbers for these organizations can usually be found in most telephone directories.
  • Ask employees to be vigilant. Internet abuse at work can have serious repercussions not only for the individual but also for those employees who befriend Internet abusers, and the organization itself. Fellow staff members need to know the basic signs and symptoms of Internet abuse. Employee behaviours such as continual use the Internet for non-work purposes might be indicative of an Internet abuse problem.
  • Monitor internet use of staff that may be having problems. Those staff members with an internet-related problem are likely to spend great amounts of time engaged in non-work activities on the Internet. Should an employer suspect such a person, they should get the company’s I.T. specialists to look at their Internet surfing history as the computer’s hard disc will have information about everything they have ever accessed.
  • Check internet “bookmarks” of staff. In some jurisdictions across the world, employers can legally access the e-mails and Internet content of their employees. One of the simplest checks is to simply look at an employee’s list of “bookmarked” websites. If they are spending a lot of employment time engaged in non-work activities, many bookmarks will be completely non-work related (e.g., online dating agencies, gambling sites).
  • Develop an “Internet Abuse At Work” policy. Many organizations have policies for behaviours such as smoking or drinking alcohol. Employers should develop their own internet abuse policies via liaison between Personnel Services and local technology councils and/or health and safety executives.
  • Give support to identified problem users. Most large organizations have counselling services and other forms of support for employees who find themselves in difficulties. In some (but not all) situations, problems associated with internet use need to be treated sympathetically (and like other more bona fide problems such as alcoholism). Employee support services must also be educated about the potential problems of internet abuse in the workplace.

Internet abuse can clearly be a hidden activity and the growing availability of internet facilities in the workplace is making it easier for abuse to occur in lots of different forms. Thankfully, it would appear that for most people internet abuse is not a serious individual problem although for large companies, small levels of internet abuse multiplied across the workforce raises serious issues about work productivity. For those whose internet abuse starts to become more of a problem, it can affect many levels including the individual, their work colleagues, and the organization itself.

Managers clearly need to have their awareness of this issue raised, and once this has happened, they need to raise awareness of the issue among the work force. Furthermore, employers need to let employees know exactly which behaviours on the Internet are reasonable (e.g., the occasional e-mail to a friend) and those that are unacceptable (e.g., online gaming, cybersex etc.). Internet abuse has the potential to be a social issue, a health issue and an occupational issue and needs to be taken seriously by all those employers who utilize the Internet in their day-to-day business.

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (1995). Technological addictions. Clinical Psychology Forum, 76, 14-19.

Griffiths, M.D. (2002). Internet gambling in the workplace. In M. Anandarajan & C. Simmers (Eds.). Managing Web Usage in the Workplace: A Social, Ethical and Legal Perspective (pp. 148-167). Hershey, Pennsylvania: Idea Publishing.

Griffiths, M.D. (2002). Occupational health issues concerning Internet use in the workplace. Work and Stress, 16, 283-287.

Griffiths, M.D. (2003). Internet abuse in the workplace – Issues and concerns for employers and employment counselors. Journal of Employment Counseling, 40, 87-96.

Griffiths, M.D. (2004). Internet abuse and addiction in the workplace – Issues and concerns for employers. In M. Anandarajan (Eds.). Personal Web Usage in the Workplace: A Guide to Effective Human Resource Management (pp. 230-245).Hershey, Pennsylvania: Idea Publishing.

Griffiths, M.D. (2009). Internet gambling in the workplace. Journal of Workplace Learning, 21, 658-670.

Griffiths, M.D. (2010). Internet abuse and internet addiction in the workplace. Journal of Worplace Learning, 7, 463-472.

Griffiths, M.D. (2010). The hidden addiction: Gambling in the workplace. Counselling at Work, 70, 20-23.

Griffiths, M.D. (2012). Internet sex addiction: A review of empirical research. Addiction Research and Theory, 20, 111-124.

Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, in press.

Widyanto, L. & Griffiths, M.D. (2006). Internet addiction: Does it really exist? (Revisited). In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, Interpersonal and Transpersonal Applications (2nd Edition), (pp.141-163). New York: Academic Press.

Young K. (1999). Internet addiction: Evaluation and treatment. Student British Medical Journal, 7, 351-352.

Geek or chic? A brief look at video gamer stereotypes

Regular readers of my blog will know that I have spent well over two decades carrying out research into various aspects of video gaming. Online video gaming has become an increasingly popular activity amongst teenagers and adults alike. For numerous reasons, perhaps in part because of its rapid growth, online gaming is also an activity that has become highly stereotyped. That is, it is an activity that has come to be associated in popular culture with a highly specific, caricatured and also negative image. This image is reflected in numerous television shows, print media, news reports, current affairs programs and other sources of popular culture. As Dr. D Williams and his colleagues noted in a 2008 issue of the Journal of Computer-Mediated Communication Monographs:

“Game players are stereotypically male and young, pale from too much time spent indoors and socially inept. As a new generation of isolated and lonely ‘couch potatoes,’ young male game players are far from aspirational figures”.

Understanding the formation of stereotypes about this group and how they are internalised may help us understand society’s attitudes towards this activity and how its participants are positioned within the status hierarchy. Where the stereotype of the pale teenage gamer came from and whether there is any truth to it are clearly important and interesting questions. Our recent research concerns the extent to which this social stereotype has been transformed into a cognitive stereotype, what form this cognitive stereotype takes, and what this can tell us about society’s attitude toward gaming as an emerging form of social or asocial activity.

Within popular culture, a clear characterisation of online gamers has emerged. Frequently caricatured, this ‘stereotype’ has been disseminated throughout the print media, as well as television and web based programs. One poignant example comes from the popular U.S. animated series South Park. In an episode devoted to the Massively Multiplayer Online Role Playing Game (MMORPG) World of Warcraft, the stereotypical gamer was portrayed as overweight, lazy, isolated, and aggressive. Additionally, the four main characters of the series became increasingly overweight, lazy, and developed acne as their immersion into the game deepened. One of the main characters (Penny) in the U.S. television series The Big Bang Theory also conforms to stereotypic expectations as she becomes obsessive, reclusive and unkempt upon playing a fantasy-based online game.

The highly successful web series, The Guild, took a more comical approach as they followed a group of online gamers who decide to meet each other in the offline world after many months of regular online interaction. In the opening scene of the first episode, the main character is told by her therapist that her online friends do not constitute a genuine support system, and that immersion in an imaginary social environment is stunting her personal growth. Within the first few minutes of this episode, themes of obsession, addiction, reclusiveness, and loneliness arise.

The stereotypical portrayal of an online gamer has also taken more serious forms. In an episode of Law and Order: SVU, a popular U.S. television series, two individuals are arrested and accused of neglecting their child due to their immersion in an online gaming world. In addition to the depiction of the more physical aspects of the stereotype (both suspects are overweight and have poor personal hygiene), the obsessive and addictive qualities of online gaming are implicated in a much more serious context of child neglect.

The problematic and addictive nature of video games is often highlighted by the news media, and a variety of internet websites, magazine articles, and news articles dispense advice for individuals with problematic playing behaviours. Taken together, these media portrayals, news reports, and internet articles present a consistent and negative image of online gaming and its participants. Online gaming is presented as a dangerous activity that may lead to social withdrawal, physical and mental ill health, and even suicide. These concerns are reflected in stereotypical portrayals of online gamers as socially anxious and incompetent, mentally stunted and withdrawn, and physically unhealthy (e.g., overweight, pale). The origins of this stereotypical image are unknown. It may be an extension of pre-existing stereotypes about similar activities (e.g., the violent film or video game and aggression hypothesis), a subtype of a broader ‘nerd’ stereotype, or a general cynicism about a new and rapidly spreading form of social activity and interaction. The social, psychological and historical factors that led to this stereotype are clearly interesting and worth exploring.

The occurrences of the cultural stereotype described are largely examples of the stereotype of an MMORPG player, rather than online gamers more generally. MMORPG players appear to be the prototype of online gamers, as caricatured by numerous television and web-based programs. In a study published in the Bulletin of Science, Technology and Society, Dr. Rachel Kowert, Dr. Julian Oldmeadow and myself collected some data on video gamer stereotypes. We asked our participants (both gamers and non-gamers) to indicate what most other people think online gamers are like. To the extent that stereotypical portrayals of online gaming and gamers have given rise to shared trait associations, there should be strong agreement across both gamers and non-gamers with regards to how gamers are perceived by others in general. A further aim of our study was to examine the extent to which these trait associations about gamers have been internalised as personal beliefs. A total of 342 participants completed our online survey in which they rated how applicable each of a list of traits was to the group of online gamers. Ratings were made for both personal beliefs (how participants themselves see gamers) and stereotypical beliefs (how most others see gamers). While these beliefs were highly consensual as stereotypes, personal beliefs varied suggesting that the cultural portrayal of online gamers is beginning to shift into cognitive associations.

Participants were asked to evaluate the list of adjectives and rate each one in terms of how applicable they believed the trait to be of online gamers. Responses were given on a 7-point Likert-type scale, ranging from 1 (“not at all applicable”) to 7 (“very applicable”). Participants were first asked questions relating to basic demographic information, as well as information about their online gaming habits (which games they play or had played, frequency of play, and whether they consider themselves a gamer). They were then asked to rate each of the 30 adjectives according to how they personally perceived online gamers (stereotype endorsement), and how they thought other people perceive online gamers (stereotype). The tasks were presented in this order to maximise the independence between personal and stereotypical ratings.

Even though online gamers are a relatively new social category within society, our results demonstrated that a collective stereotype about this population has emerged. All our participants showed an awareness of a shared stereotype that is in accordance with the anecdotal characterisations commonly portrayed by popular media. Stereotype ratings were consistent across gamers and non-gamers, suggesting that these beliefs are widely shared within society. Based on the results of this study, we concluded that the current stereotype of online gamers is largely negative, based on the traits of popularity, attractiveness, idleness, and social competence. Online gamers were stereotypically viewed as unpopular, unattractive, idle, and socially incompetent, a characterisation that seems to match common stereotypical portrayals in the media, television, and internet articles.

As this investigation was largely exploratory, care needs to be taken in interpreting the results and further research is needed to confirm the factors that emerged here. For instance, it is uncertain if the results found here are reflective of the generalized stereotype of gamers (including online gamers more generally) or the popularized prototype of the MMORPG gamer. While some have found that MMORPG gamers are viewed more negatively than the generalized construct of the online gamer, future research is needed to further examine the general stereotype in relation to the subgroups contained within it. This will hopefully provide clarification into the stereotypical differences amongst the broad categorization of online gamers as compared to more specific subgroups, such as MMORPG gamers or casual online gamers (e.g., individuals who play online games that require no major time commitment or special set of skills to complete, such as the highly popular Zynga game, Farmville). Future research may provide further insight into the progression of the shared beliefs about online gamers ‘out there’ developing into internalised cognitive associations ‘in here’. Somewhat fortuitously, the stereotype of online gamers is still undergoing formation within society, providing researchers with the unique opportunity to study this characterisation as it continues to evolve.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Additional input: Dr. Rachel Kowert and Dr. Julian Oldmeadow

Further reading

Cole, H., & Griffiths, M. (2007). Social Interactions in Massively Multiplayer Online Role-Playing Games. CyberPsychology and Behavior, 10(4), 575 – 583.

Griffiths, M., Davies, M., & Chappell, D. (2003). Breaking the stereotype: the case of online gaming. CyberPsychology and Behavior, 6(1), 81 – 91.

Kowert, R., Griffiths, M.D. & Oldmeadow, J. (2012). Geek or Chic? Emerging stereotypes of online gamers. Bulletin of Science, Technology and Society, 32, 371-379.

Kowert, R., & Oldmeadow, J. (2012). The stereotype of online gamers: new characterization or recycled prototype. Paper presented at the Nordic DiGRA, Tampere, Finland.

Lucas, K., & Sherry, J. (2004). Sex differences in video game play: a communication-based explanation. Communication Research, 31(5), 499 – 523.

Ogletree, S., & Drake, R. (2007). College students’ video game participation and perceptions: gender differences and implications. Sex Roles, 56, 537 – 542.

Williams, D., Yee, N., & Caplan, S. (2008). Who plays, how much, and why? Debunking the stereotypical gamer profile. Journal of Computer-Mediated Communication Monographs, 13(4), 993 – 1018.

Yee, N. (2006). The demographics, motivations, and derived experiences of users of massively-multi-user online graphical environments. Teleoperators and Virtual Environments, 15(3), 309 – 329

Carry on screening: A brief look at Internet Gaming Disorder

In this month’s issue of the Neuropsychiatry journal, I – and my research colleagues (Dr. Daniel King and Dr. Zsolt Demetrovics) – published a paper arguing that Internet Gaming Disorder needs a unified approach to assessment. Over the last 15 years, research into various online addictions has greatly increased. Prior to the publication of the fifth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013, there had been some debate as to whether ‘internet addiction’ should be introduced into the text as a separate disorder. Alongside this, there has also been debate as to whether those researching in the online addiction field should be researching generalized internet use and/or the potentially addictive activities that can be engaged on the internet (e.g., gambling, video gaming, sex, shopping, etc.)

Following these debates, the Substance Use Disorder Work Group (SUDWG) recommended that the DSM-5 include a sub-type of problematic internet use (i.e., internet gaming disorder [IGD]) in Section 3 (‘Emerging Measures and Models’) as an area that needed future research before being included in future editions of the DSM. According to Dr. Nancy Petry and Dr. Charles O’Brien writing in a 2013 issue of Addiction, IGD will not be included as a separate mental disorder until the (i) defining features of IGD have been identified, (ii) reliability and validity of specific IGD criteria have been obtained cross-culturally, (iii) prevalence rates have been determined in representative epidemiological samples across the world, and (iv) etiology and associated biological features have been evaluated.

Although there is now a rapidly growing literature on pathological video gaming, one of the key reasons that IGD was not included in the main text of the DSM-5 was that the SUDWG concluded that no standard diagnostic criteria were used to assess gaming addiction across these many studies. A 2013 overview of instruments assessing problematic gaming by my colleagues and I in Clinical Psychology Review reported that 18 different screening instruments had been developed, and that these had been used in 63 quantitative studies comprising 58,415 participants. This comprehensive review identified both strengths and weaknesses of these instruments.

The main strengths of the instrumentation included the: (i) the brevity and ease of scoring, (ii) excellent psychometric properties such as convergent validity and internal consistency, and (iii) robust data that will aid the development of standardized norms for adolescent populations. However, the main weaknesses identified in the instrumentation included: (i) core addiction indicators being inconsistent across studies, (iii) a general lack of any temporal dimension, (iii) inconsistent cut-off scores relating to clinical status, (iv) poor and/or inadequate inter-rater reliability and predictive validity, and (v) inconsistent and/or dimensionality. It has also been noted by a number of authors that the criteria for IGD assessment tools are theoretically based on a variety of different potentially problematic activities including substance use disorders, pathological gambling, and/or other behavioral addiction criteria. There are also issues surrounding the settings in which diagnostic screens are used as those used in clinical practice settings may require a different emphasis that those used in epidemiological, experimental and neurobiological research settings.

Video gaming that is problematic, pathological and/or addictive (i.e., IGD) lacks a widely accepted definition. In a recent book chapter (in the 2014 book Behavioral Addictions: Criteria, Evidence and Treatment edited by Dr. Ken Rosenberg and Dr. Laura Feder), I and some of my Hungarian colleagues argued that some researchers consider video games as the starting point for examining the characteristics of this specific disorder, while others consider the internet as the main platform that unites different addictive internet activities, including online games. Recent studies have made an effort to integrate both approaches Consequently, IGD can either be viewed as a specific type of video game addiction, or as a variant of internet addiction, or as an independent diagnosis.

As I argued in one of my previous blogs, although all addictions have particular and idiosyncratic characteristics, they share more commonalities than differences (i.e., salience, mood modification, tolerance, withdrawal symptoms, conflict, and relapse), and this likely reflects a common etiology of addictive behavior. Consequently, online game addiction may be viewed as a specific type of video game addiction. Similarly, Dr. G. Porter and colleagues in a 2010 issue of the Australian and New Zealand Journal of Psychiatry, do not differentiate between problematic video game use and problematic online game use. They conceptualized problematic video game use as excessive use of one or more video games resulting in a preoccupation with and a loss of control over playing video games, and various negative psychosocial and/or physical consequences. However, unlike my conceptualization of gaming addiction, their criteria for problematic video game use does not include other features usually associated with dependence or addiction, (e.g., tolerance, physical symptoms of withdrawal), as they say there is no clear evidence that problematic gaming is associated with such phenomena. Researchers such as Dr. Kimberley Young view online gaming addiction as a sub-type of internet addiction and that the internet itself provides situation-specific characteristics that facilitate gaming becoming problematic and/or addictive.

In a 2010 issue of Computers in Human Behavior, Dr. M.G. Kim and Dr. J. Kim’s [11] proposed a Problematic Online Game Use (POGU) model that takes a more integrative approach and claims that neither of the approaches outlined above adequately capture the unique features of online games such as Massively Multiplayer Online Role Playing Games (MMORPGs). They argue that the internet is just one channel where people may access the content they want (e.g., gambling, shopping, sex, etc.) and that such users may become addicted to the particular content rather than the channel itself. This is analogous to the argument that I made over 15 years ago in a number of different papers that there is a fundamental difference between addiction to the internet, and addictions on the internet. However, MMORPGs differ from traditional stand-alone video games as there are social and/or role-playing dimension that allow interaction with other gamers.

The POGU model resulted in five underlying dimensions of addictive gameplay (i.e., euphoria, health problems, conflict, failure of self-control, and preference of virtual relationship). I also support the integrative approach and stress the need to include all types of online games in addiction models in order to make comparisons between genres and gamer populations possible (such as those who play online Real-Time Strategy (RTS) games and online First Person Shooter (FPS) games in addition to the widely researched MMORPG players). The POGU model comprises six dimensions (i.e., preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal).

Irrespective of approach or model, the components and dimensions that comprise online gaming addiction outlined above are very similar to the IGD criteria in Section 3 of the DSM-5. For instance, my six addiction components directly map onto the nine proposed criteria for IGD (of which five or more need to be endorsed and resulting in clinically significant impairment). More specifically: (1) preoccupation with internet games [salience]; (2) withdrawal symptoms when internet gaming is taken away [withdrawal]; (3) the need to spend increasing amounts of time engaged in internet gaming [tolerance], (4) unsuccessful attempts to control participation in internet gaming [relapse/loss of control]; (5) loss of interest in hobbies and entertainment as a result of, and with the exception of, internet gaming [conflict]; (6) continued excessive use of internet games despite knowledge of psychosocial problems [conflict]; (7) deception of family members, therapists, or others regarding the amount of internet gaming [conflict]; (8) use of the internet gaming to escape or relieve a negative mood [mood modification];  and (9) loss of a significant relationship, job, or educational or career opportunity because of participation in internet games [conflict].

The fact that IGD was included in Section 3 of the DSM-5 appears to have been well received by researchers and clinicians in the gaming addiction field (and by those individuals that have sought treatment for such disorders and had their experiences psychiatrically validated and feel less stigmatized). However, for IGD to be included in the section on ‘Substance-Related and Addictive Disorders’ along with ‘Gambling Disorder’, the gaming addiction field must unite and start using the same assessment measures so that comparisons can be made across different demographic groups and different cultures.

For epidemiological purposes, Dr. B. Koronczai and colleagues in a 2011 issue of Cyberpsychology, Behavior and Social Networking, asserted that the most appropriate measures in assessing problematic online use (including internet gaming) should meet six requirements. Such an instrument should have: (i) brevity (to make surveys as short as possible and help overcome question fatigue); (ii) comprehensiveness (to examine all core aspects of IGD as possible); (iii) reliability and validity across age groups (e.g., adolescents vs. adults); (iv) reliability and validity across data collection methods (e.g., online, face-to-face interview, paper-and-pencil); (v) cross-cultural reliability and validity; and (vi) clinical validation. It was also noted that an ideal assessment instrument should serve as the basis for defining adequate cut-off scores in terms of both specificity and sensitivity. To fulfill all these requirements, future research should adjust the currently used assessment tools to the newly accepted DSM-5 criteria and take much more efforts to reach and study clinical samples, which is an unequivocal shortcoming of both internet and gaming research.

In addition to further epidemiological and clinical research, further research is also needed on the neurobiology of IGD. A systematic review of 18 neuroimaging studies examining internet addiction and IGD by Dr. Daria Kuss and Griffiths in a 2012 issue of Brain Sciences noted that:

“These studies provide compelling evidence for the similarities between different types of addictions, notably substance-related addictions and Internet and gaming addiction, on a variety of levels. On the molecular level, Internet addiction is characterized by an overall reward deficiency that entails decreased dopaminergic activity. On the level of neural circuitry, Internet and gaming addiction lead to neuroadaptation and structural changes that occur as a consequence of prolonged increased activity in brain areas associated with addiction. On a behavioral level, Internet and gaming addicts appear to be constricted with regards to their cognitive functioning in various domains” (p.347).

The good news is that research in the gaming addiction field does appear to be reaching an emerging consensus. We noted in our 2013 Clinical Psychology Review paper that across many different studies, IGD is commonly defined by (a) withdrawal, (b) loss of control, and (c) conflict. However, it is critical that a unified approach to assessment of IGD is urgently needed as this is the only way that there will be a strong empirical basis for IGD to be included in the next DSM.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders – Text Revision (Fifth Edition). Washington, D.C.: Author.

Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Griffiths, M. D., Pápay, O., . . . Oláh, A. (2012). The development of the Problematic Online Gaming Questionnaire (POGQ). PLoS ONE, 7(5), e36417.

Griffiths, M.D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8, 413-418.

Griffiths, M. D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.

Griffiths, M.D., King, D.L. & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, under review.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

Kim, M. G., & Kim, J. (2010). Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior, 26(3), 389-398.

King, D. L., Delfabbro, P. H., Griffiths, M. D., & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31, 1110-1116.

King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2012). Cognitive-behavioral approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology, 68, 1185-1195.

King, D.L., Haagsma, M.C.,Delfabbro, P.H.,Gradisar, M.S., Griffiths, M.D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33, 331-342.

Koronczai, B., Urban, R., Kokonyei, G., Paksi, B., Papp, K., Kun, B., . . . Demetrovics, Z. (2011). Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychology, Behavior and Social Networking, 14, 657–664.

Kuss, D.J. & Griffiths, M.D. (2012). Internet and gaming addiction: A systematic literature review of neuroimaging studies. Brain Sciences, 2, 347-374.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2013).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, in press.

Pápay, O., Nagygyörgy, K., Griffiths, M.D. & Demetrovics, Z. (2014). Problematic online gaming. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment. New York: Elsevier.

Petry, N.M., & O’Brien, C.P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108, 1186–1187.

Porter, G., Starcevic, V., Berle, D., & Fenech, P. (2010). Recognizing problem video game use. The Australian and New Zealand Journal of Psychiatry, 44, 120-128.

Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1, 237-244.

No time for the crime: Excessive adolescent video game playing, social networking and crime reduction

On Sunday February 9, 1964, The Beatles made their debut on US television. Their appearance on the Ed Sullivan Show drew an estimated audience of 73 million people. One of the most quoted consequences associated with this particular show was that between 8pm and 9pm when the show was aired, a number of news reports claimed that there was no reported incidence of juvenile crime across America during the time of the broadcast.  The editor of Newsweek, B.F. Henry, went as far as to claim that “there wasn’t so much as a hubcap stolen” during the hour that The Beatles were on the show.

This apocryphal tale, at the very least, shows the apparent compelling logic in the argument that when an activity is so engrossing it has the capacity to stop people engaging in other types of activity such as crime. Inspired by a speculative blog post on the topic, my friend and research colleague Dr. Mike Sutton failed to disconfirm what Dr. Sutton and I have called the Crime Substitution Hypothesis. We recently published a small paper in the journal Education and Health that examined the extent to which popular youth activity (namely video gaming and social networking) may be having an effect on youth offending and victimization.

Young people’s use of technology (the so called ‘screenagers’ and ‘digital natives’) has increased greatly over the last two decades and a significant proportion of daily time is spent in front of various screen interfaces most notably videogames, mobile phones (e.g., SMS) and the internet (e.g., social networking sites like Bebo, Facebook). These ‘digital natives’ have never known a world without the internet, mobile phones and interactive television, and are therefore tech-savvy, have no techno-phobia, and very trusting of these new technologies.

One of the most empirically researched areas is in the area of adolescent video gaming. Negative consequences of gaming have included addiction, increased aggression, and a variety of medical consequences, such as repetitive strain injuries, obesity, and photosensitive epilepsy. There is certainly evidence that when taken to excess, videogame playing can in some cases be addictive, especially online videogame playing where the game never pauses or ends, and has the potential to be a 24/7 activity. However, there are many reported benefits that adolescents can get from playing videogames. These can be educational, social and/or therapeutic.

Another positive benefit of playing video games along with activities like social networking may be the capacity to reduce youth crime. The reason why videogames may have implications for crime reduction is their use as ‘distractors’ (such as in the role of pain management). The reasoning is that ‘distractor tasks’ consume some degree of the attentional capacity that would otherwise be devoted to pain perception. I have noted in a number of my academic papers that the main reasons that videogames make good distractors are because they:

  • Are likely to engage much of a person’s individual active attention because of the cognitive and motor activity required.
  • Allow the possibility to achieve sustained achievement because of the level of difficulty (i.e. challenge) of most games during extended play.
  • Appear to appeal most to adolescents

For instance, one study reported the case of an eight-year-old boy with neurodermatitis being given a handheld videogame to prevent him from picking at his face. Where previous treatments had failed, the use of the game kept his hands occupied and within two weeks the affected area had healed. A number of studies have demonstrated that videogames can provide cognitive distraction for children undergoing chemotherapy. All these studies have reported that distracted child patients report less nausea after treatment (when compared with control groups), and that playing videogames reduced the amount of painkillers the children needed during treatment. The very reasons why video games may be of benefit therapeutically may also be applied to video games in a crime reduction context (i.e., the playing of video games is so cognitively distracting that that there is little time to do or think about anything else).

Consequently, there is a developing school of thought arguing that peoples’ participation (especially excessive use) in video gaming and social networking may be contributory factors that may partly explain the fall in crime rates in recent years. For instance, the economist Larry Katz was quoted in a 2010 issue of The Economist suggesting that the playing of video games may be playing a role in crime reduction. Katz’ reasoning is simple – keeping people busy keeps them out of trouble. There appears to be some statistical support for such a hypothesis as the decrease in US crime rates appears to show an inverse correlational relationship with increased sales of video game consoles and video games. Clearly this correlational evidence should be treated with caution as it says nothing about causation. However, it does provide a hypothesis that could be the subject of future empirical testing.

Could the rise in video game playing and social networking be a major cause of what criminologists claim is an unfathomable drop in crime, and if not, then why not? Routine Activity Theory predicts that if a substantial numbers of young people are not on the streets either as victims or offenders then overall high volume ‘crime opportunities’ would diminish, resulting in an overall drop in high volume crime rates. We have no idea yet whether what we might call the ‘crime substitution hypothesis’ is plausible. Therefore, in our recent paper, Dr. Sutton and I set out some ideas that support it as something possibly worthy of further exploration.

As highlighted above, research suggests some young people are spending many hours playing video games or social networking. Research also suggests that video games can be engrossing, addictive and in some cases compulsive. Additionally, research has failed to establish that violent media is either a necessary or sufficient condition for causing crime. Therefore, taking a Routine Activity Approach, it would seem that an increase in video gaming might feasibly lead to a rise in the illicit market for stolen computers and games consoles. However, there might be fewer thieves to supply it if:

  • Fewer potential offenders are getting addicted to opiates and other drugs, and/or misusing alcohol out of boredom because they have escaped boredom in the real world by entering the more exciting world of cyberspace to play and interact with others.
  • Potential offenders and victims are gaming excessively and/or compulsively checking Facebook and/or other social networking sites.
  • The game players and other ‘netizens’ are playing at home so (a) fewer potential offenders on the streets and fewer potential victims, and (b) houses are occupied for longer and so less susceptible to burglary.
  • Immersion and gaming prowess and reputation may be sufficient substitutes for the same things in the offline (real) world
  • The Internet allows more people to work from home so teleworking may reduce the pool of “available” victims on the street and also ensure fewer homes are empty during the day.

The evidence provided for the ‘crime substitution hypothesis’ in our paper was anecdotal and/or correlational in nature but we would argue that this would provide a fruitful avenue for further research. Such research into ‘crime substitution’ and gaming/social networking might involve: (i) measuring time spent gaming and social networking by groups that empirical research predicts are at greater risk of becoming offenders, (ii) conducting ethnographic studies with young people to gauge whether, and if so to what extent, gaming and social networking are used as a substitute for risky activities in the offline (real) world, and do this in relation to both potential offending and victimization, (iii) examining issues of offline and online peer status and how this may impact on consequent behaviour (including criminal activity), and (iv) further examining the correlation between console and game sales – and any data on playing time and type of games – with the general crime trend over the past 20 years.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Cole, H. & Griffiths, M.D. (2007). Social interactions in Massively Multiplayer Online Role-Playing gamers. CyberPsychology and Behavior, 10, 575-583.

De Freitas, S. & Griffiths, M.D. (2008). The convergence of gaming practices with other media forms: what potential for learning? A review of the literature. Learning, Media and Technology, 33, 11-20.

Griffiths, M.D. (2005). Video games and health. British Medical Journal, 331, 122-123.

Griffiths, M.D. (2005b). The therapeutic value of videogames. In Goldstein J. & Raessens J. (eds.) Handbook of Computer Game Studies (pp. 161-171). Boston: MIT Press.

Griffiths, M.D. (2008). Internet and video-game addiction. In C. Essau (Ed.), Adolescent Addiction: Epidemiology, Assessment and Treatment (pp.231-267).  San Diego: Elselvier.

Griffiths, M.D. (2010). Trends in technological advance: Implications for sedentary behaviour and obesity in screenagers. Education and Health, 28, 35-38.

Griffiths, M.D. & Kuss, D. (2011). Adolescent social networking: Should parents and teachers be worried? Education and Health, 29, 23-25.

Griffiths, M.D. & Sutton, M. (2013). Proposing the Crime Substitution Hypothesis: Exploring the possible causal relationship between excessive adolescent video game playing, social networking and crime reduction. Education and Health, 31, 17-21.

Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental and Public Health, 8, 3528-3552.

Kuss, D.J. & Griffiths, M.D. (2011). Excessive online social networking: Can adolescents become addicted to Facebook? Education and Health, 29. 63-66.

Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in adolescence: A literature review of empirical research. Journal of Behavioral Addictions, 1, 3-22.

Sutton, M (2010) Routine Activities Theory, the Internet and the 15-Year crime drop. Criminology: The Blog of Mike Sutton. Best Thinking: http://www.bestthinking.com/thinkers/science/social_sciences/sociology/mike-sutton?tab=blog&blogpostid=9634,9634

Stats entertainment (Part 2): A 2013 review of my personal blog

My last blog of 2013 was not written by me but was prepared by the WordPress.com stats helper. I thought a few of you might be interested in the kind of person that reads my blogs. I also wanted to wish all my readers a happy new year and thank you for taking the time to read my posts.

Here’s an excerpt:

The Louvre Museum has 8.5 million visitors per year. This blog was viewed about 860,000 times in 2013. If it were an exhibit at the Louvre Museum, it would take about 37 days for that many people to see it.

Click here to see the complete report.

A toning for reward and punishment: A brief look at the impact of colour on gambling behaviour

Researchers and those working in the gambling industry have been interested in the factors that lead to the acquisition, development and maintenance of gambling. Aside from individual differences, the combination of the situational characteristics of the environment, and the structural characteristics of the actual game being played have been highlighted as critical ingredients in determining these behaviours in relation to gambling. This idea parallels with that of store designers who manipulate various features of the environment in shops to encourage purchase behaviour in consumers.

Situational characteristics are typically those features of the environment that may encourage people to gamble in the first place, and in some cases to keep on gambling. Examples of such characteristics could include accessibility (e.g., the number of outlets or opportunities to gamble, membership rules); sensory factors (e.g., atmospherics, light, colour and sound effects); the use of advertising; access to other things (e.g., cash machines, alcohol, food); physical comfort (e.g., seating, temperature); and social facilitation (the presence or absence of other people in the vicinity). These are often acquisition factors and are often important in the initial decision for an individual to gamble. Structural characteristics are features of the game itself that can contribute to the development and maintenance of gambling behaviour. These can be reinforcing to the player as they offer constant rewards. For instance, the ‘aura’ of a slot machine may offer excitement, arousal and tension in terms of its high event frequency, near misses, stake size, and the use of music, lights and colour.

One characteristic that can impact on both a situational and structural level in gambling is colour. For instance, this can be manipulated and/or adapted in terms of the design of a slot machine or scratchcard, an Internet gambling website, or the décor and ambience of a gambling environment. Research more specifically into the psychology of colour has been somewhat controversial in how it affects individual emotions. The majority of literature in the colour psychology field has come from advertising and marketing papers. This is because they are interested in colour selection in the way that it may facilitate the sale of their products. It has been speculated that learning about consumers’ emotional reactions to colour can be a useful predictor of purchase behaviour. This is because certain colours can provoke a particular positive or negative reaction. For instance, red has consistently been found to be stronger, more exciting, and more arousing than blue. This concept has been applied in a variety of situations in an attempt to manipulate people’s behaviours. However, a lot of this evidence is anecdotal, as it is not based on any sort of controlled experimental design.

Colour preference has been explained in terms of cultural significance and associative learning. It has been suggested that associations of colour that have been developed in the past have been forwarded as explanations of perceptions of colour today. For example, blue has been associated with night, dark and quiet. Warm colours, such as red, are used in order to attempt to arouse consumers such as in gambling environments. Across cultures, red has predominantly been found to be the most effective in influencing human emotions. Individual responses to colour have also been explained in relation to the arousal that they produce. It has been suggested that colours that are on the extreme ends of the colour spectrum (e.g., red and violet) generate greater arousal than those in-between. However, when red and blue have been compared in terms of their influences on arousal, differences have been found between them, with red producing greater cortical arousal.

With regards to the gambling literature in this field there has been minimal research conducted looking at the impact of colour on gambling. In an observational  study I published with Helen Swift back in 1992, we reported our findings about various situational characteristics of five English amusement arcades. We noted that the interiors were generally red or towards the red end of the colour spectrum. This observation appears to suggest that gaming venue designers make use of the principle of red light exciting whilst gambling. Light and colour effects have developed in their sophistication over recent years and the gaming and casino industry have taken advantage of this when designing machines, games, and gaming venue interiors.

An old 1982 study by Graham Stark and colleagues in the journal Current Psychological Research provides one of the few empirical contributions assessing the effects of coloured light on gambling behaviour. Their study found that compared to gambling under blue light, gambling under red light leads to more risks taken, higher stakes made, and more frequent bets. They suggested that because blue is less arousing it leads to slower performance, as their attention is not specially focused on the task. As red was highly arousing it caused participants to focus on the salient aspects resulting in faster bets. The arousing effects of red were speculated to increase overt behaviour.

Similar types of research study have also been carried out on computer gaming. For instance, a study led by Dr. Sandy Wolfson in a 2000 issue of Interacting With Computers examined the effects of music and lighting on computer game play. It was found that red lighting led to participants underperforming in the latter games played (compared to blue), although initially both groups improved continuously. The red group’s heart rate also decreased in line with their decline in performance. This was explained in terms of red initially being more arousing, which led to higher concentration and less error rates than blue, but as time went on they became desensitized to its arousal.

A more recent experimental investigation by Jenny Spenwyn, Dr. Doug Barrett and myself in a 2010 issue of the International Journal of Mental Health and Addiction reported what we believe was the first ever empirical study into the combined effects of both music and lighting colour on gambling behaviour. While playing an online version of roulette, participants took part in one of four experimental conditions; (1) gambling with fast tempo music under normal (white) light, (2) gambling with fast tempo music under red light, (3) gambling with slow tempo music under normal (white) light, and (4) gambling with slow tempo music under red light. We reported a significant interaction between light and music for betting speed, and that the speed at which participants gambled was increased while playing under red light and fast tempo music.

It is clear that situational characteristics of gambling environments (including colour) appear to have the potential to play a role in the acquisition, development and maintenance of gambling behaviour. The success of the gambling establishment’s situational and structural characteristics (where success is defined as an increase in gambling due to the situational or structural characteristic) depends upon the psycho-situational and/or psychostructural interaction. The importance of a characteristic approach to gambling is the possibility of pinpointing more accurately where an individual’s psychological constitution is influencing gambling behaviour. Such an approach also allows for psychologically context specific explanations of gambling behaviour rather than explanations that focus solely on personality and individual differences.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Babin, B.J., Hardesty, D.M., & Suter, T.A. (2003). Colour and shopping intentions: The intervening effect of price fairness and perceived affect. Journal of Business Research, 56, 541-551.

Bellizi, J., Crowley, A.E., & Hasty, R.W. (1983). The effects of colour in store design. Journal of Retailing, 59, 21-45.

Bellizi, J. A. & Hite, R.E. (1992). Environmental colour, consumer feelings and purchase likelihood. Psychological Marketing, 9 (5), 347-363.

Friedman, B. (2000). Designing Casinos to Dominate the Competition. Reno, NV: Institute for the Study of Gambling and Commercial Gaming, University of Nevada.

Griffiths, M.D. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9, 101-120.

Griffiths, M.D. & Parke, J. (2003). The environmental psychology of gambling. In G. Reith (Ed), Gambling: Who wins? Who looses? pp. 277-292. New York: Prometheus Books.

Griffiths, M.D. & Swift, G. (1992). The use of light and colour in gambling arcades: A pilot study. Society for the Study of Gambling Newsletter, 21, 16-22.

Grossman, R. P., & Wisenblit, J. Z. (1999). What we know about consumers colour choices. Journal of Marketing Practice: Applied Marketing Science, 5 (3), 78-88.

Parke, J. & Griffiths, M.D. (2006). The psychology of the fruit machine: The role of structural characteristics re-visited. International Journal of Mental Health and Addiction, 4, 151-179.

Parke, J. & Griffiths, M.D. (2007). The role of structural characteristics in gambling. In G. Smith, D. Hodgins & R. Williams (Eds.), Research and Measurement Issues in Gambling Studies. pp.211-243. New York: Elsevier.

Spenwyn, J., Barrett, D.K.R. & Griffiths, M.D. (2010). The role of lights and music in gambling behavior: An empirical pilot study. International Journal of Mental Health and Addiction, 8, 107-118.

Stark, G.M., Saunders, D.M, & Wookey, P.E. (1982). Differential effects of red and blue coloured lighting on gambling behaviour. Current Psychological Research, 2, 95-99.

Valdez, P. & Mehrabian, A. (1994). Effects of colour on emotion. Journal of Experimental Psychology, 123 (4), 394-409.

Wolfson, S., & Case, G. (2000). The effects of sound and colour on responses to a computer game. Interacting With Computers, 13, 183-192.

Yoto, A., Katsuura, T., Iwanaga, K. & Shimomura, Y. (2007). Effects of object colour stimuli on human brain activities in perception and attention referred to EEG alpha band response. Journal of Physiological Anthropology, 26, 373-379.

Character formation: Another look at addiction to buying virtual in-game items

I was recently interviewed at length by Mike Rose for an article he published on the Gamasutra website entitled Chasing the Whale that examined the ethics and sometimes addicting nature of free-to-play games. The article began with the story of Chris, a man in his mid-20s who played a lot of the game Team Fortress 2 (TF2). While playing TF2 he started to buy virtual items from the online store to use in-game (such as keys to open in-game crates). After opening some of the crates, Chris would share the online booty with other online gamers and “keep the good stuff” for himself. Chris got social benefits from giving away some of the virtual items to other players and this alone was worth paying real money for. Within half a year of buying his first virtual item, he ended up spending all the money he had:

“I’d use birthday money, I’d eat cheaper lunches, I’d ask my wife to pay for dinner so I’d have a spare $10-$20 to spend in the store. Which does mean, I guess, that I was thinking about it even away from the game. [After buying my first ‘unusual’ item marked with a purple seal] I had this unbeatable rush of adulation and excitement. For someone who didn’t get out much I was on cloud nine. And at that point things changed. I started chasing that high. My savings got wiped out pretty quickly – although it should be noted that at the time I didn’t have much put away to begin with. The real trouble wasn’t that it cleaned out my bank account, but that it put me in a really delicate situation. With no savings and every dollar not spent on food, shelter, or utilities going to digital hats, any unexpected expense became a really big deal.It got so bad that at one point Steam actually blocked my credit card, thinking I was some sort of account scammer [playing a] stupid game with fake hats. And like any addicted user, my social element didn’t help – most of my outside-of-work contacts were people I just played TF2 with.

At work I just wanted to be uncrating things, and when I was uncrating things I just wanted to see better results. [This then affected the relationship with my wife]. I’ve never really been addicted to anything else, so I can’t say for certain whether a ‘real’ addiction would be stronger. I would say that it felt akin to what I’d expect a compulsive gambling addiction would feel like – social pressures reinforced a behavior that kept me searching for an adrenaline rush I’d never be able to recapture, even as it kept me from making progress in life. There were nights where I’d be up until 3am drinking beer and playing Team Fortress and chasing those silly hats with purple text, ignoring the gambler’s fallacy and swearing that if I dropped another $50 I’d be sure to win this time. Then I’d wake up the next morning and see that I’d not only spent over a hundred dollars on digital hats, but failed my only objective by uncrating a bunch of junk”.

According to Rose’s account, it was on these mornings that Chris felt the worst. When the reality of what Chris had done hit him, he felt depressed and worthless. He told himself that he wouldn’t spend another penny on buying in-game items but just like a gambler, as soon as he got his next pay cheque, every last penny would go on buying new virtual items. To the game developers and operators, Chris is known colloquially as a ‘whale’ (i.e., one of the 1% of players that spends large amounts of money within free-to-play games and allows the gaming companies to make profits despite the fact that 99% of players don’t buy anything in-game). Chris said:

“I have to question whether a business model built on exploiting ‘whales’ like me isn’t somewhat to blame. Free-to-play games aren’t after everyone for a few dollars – they’re after weak people in vulnerable states for hundreds, if not thousands [of dollars]” 

Rose then started tracking down other ‘whales’ to get their stories. Many 9but by no means all) were similar to that of Chris. Rose questioned how many free-to-play game developers are building their profits on vulnerable players like Chris. More specifically he “pondered whether these ‘whale’ players are fully consenting to the hundreds and thousands of dollars that they are spending, or whether they are being manipulated and exploited by underhanded design that purposely aims to make the player feel like they simply have no choice”.

Rose’s own research highlighted that many whales (even those that had spent thousands of dollars) felt they had got their money’s worth (i.e., they had lots of fun playing and had simply bought their entertainment). Others said they were spending money they could afford and could stop any time they wanted to. Despite Chris being in the minority, Rose asserted that:

“A business model where even the smallest portion of players can find themselves losing control and essentially ruining their lives, is a model that must surely face scrutiny, whether on a industry or governmental level”.

To me, this has a large similarity with the gambling industry that has recently started to put social responsibility at the heart of its business model. Rose interviewed Ben Cousins, industry insider and an outspoken proponent of the free-to-play business model who said:

“I believe that the responsibility to control spending on any product or service lies with the consumer, unless there is some scientifically proven link to addiction as is the case with products and services like alcohol and gambling. When these links are established, I feel industries should self-govern first and if they fail to act responsibly, be subject to governmental control. I would personally like to see wide-ranging independent studies done before we jump to any conclusions about any negative psychological effects. When looking at a small sample size there is always going to be a lack of certainty in extrapolating that data to a larger population. I think if we see a broad proportion of the spending userbase reacting as they claim to have in these accounts, it’s easier to read this as the developers having discovered a damaging method of psychological consumer manipulation. When a very, very small proportion of the userbase react in this manner, while sad, it’s easier to read this as perhaps individual issues with those people which may be expressed in any number of negative ways, not just with spending in free-to-play games. I’m sure small numbers of very negative stories could be found for spending on almost any product or service”.

This line of reasoning was often used by the gambling industry 20 years ago and is currently being used by the video game industry more generally. I certainly believe that all forms of gaming (offline video gaming, social gaming, online gaming, etc.) will eventually embed player protection, harm minimization, and social responsibility into all of its products. In my interview for Rose’s article, I made a number of observations based on my many years studying both gambling and gaming. More specifically, I was quoted as saying:

“On first look, games like FarmVille may not seem to have much connection to gambling, but the psychology behind such activities is very similar. Even when games do not involve money, they introduce players to the principles and excitement of gambling. Companies like Zynga have been accused of leveraging the mechanics of gambling to build their empire. One element particularly key in encouraging gambling-like behaviour in free-to-play games is the act of random reinforcement – that is, the unpredictability of winning or getting other types of intermittent rewards. Small unpredictable rewards lead to highly engaged and repetitive behavior. In a minority of cases, this may lead to addiction. In those instances when there is no money changing hands, players “are learning the mechanics of gambling and there are serious questions about whether gambling with virtual money encourages positive attitudes towards gambling. The introduction of in-game virtual goods and accessories (that people pay real money for) was a psychological masterstroke. It becomes more akin to gambling, as social gamers know that they are spending money as they play with little or no financial return. The one question I am constantly asked is why people pay real money for virtual items in games like FarmVille. As someone who has studied slot machine players for over 25 years, the similarities are striking. The real difference between pure gambling games and some free-to-play games is the fact that gambling games allow you to win your money back, adding an extra dimension that can potentially drive revenues even further. The line between social free-to-play games and gambling is beginning to blur, bringing along with them various moral, ethical, legal, and social issues”.

Given my research background and my interest in gaming convergence, this is certainly an area I will be keeping a close eye on over the coming months and years.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (2008). Digital impact, crossover technologies and gambling practices. Casino and Gaming International, 4(3), 37-42.

Griffiths, M.D. (2010). Gaming in social networking sites: A growing concern? World Online Gambling Law Report, 9(5), 12-13.

Griffiths, M.D. (2011). Gaming convergence: Further legal issues and psychosocial impact. Gaming Law Review and Economics, 14, 461-464.

Griffiths, M.D. (2012). Gambling on Facebook? A cause for concern? World Online Gambling Law Report, 11(9), 10-11.

Griffiths, M.D. (2013). Social gambling via Facebook: Further observations and concerns. Gaming Law Review and Economics, 17, 104-106.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies, 26, 175-187.

King, D.L., Haagsma, M.C.,Delfabbro, P.H.,Gradisar, M.S., Griffiths, M.D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33, 331-342.

Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental and Public Health, 8, 3528-3552.

Kuss, D.J. & Griffiths, M.D. (2011). Excessive online social networking: Can adolescents become addicted to Facebook? Education and Health, 29. 63-66.

Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in adolescence: A literature review of empirical research. Journal of Behavioral Addictions, 1, 3-22.

Screenage kicks: A brief look at children’s use of information technology

The following blog is an expanded version of an article that was published on my university website as one of the regular ‘Expert Opinion’ columns.

Last week week, a lot of media coverage was given to research on young children’s IT use carried out by the US pressure group Common Sense Media and electronic learning experts VTech. Based on a survey of 1,463 parents of children aged under eight years, it was reported that 38% of children aged under two years of age had used iPhones and/or Kindles for playing games or watching films. The study, called ‘Zero to Eight: Children’s Media Use in America, 2013’ also reported that (i) one in three young children use a mobile phone or tablet before they could talk, (ii) 29% of children started using electronic gadgets as toddlers, (iii) children aged under two years spent an average of 15 minutes a day using electronic gadgets, and that (iv) children aged between two and four years spent average of two hours a day watching television. Are these findings a cause for concern?

Over the last decade I have taken part in many radio debates about the influence of information technology on the lives of children. Typically, I am invited onto such programmes to inject a hint of caution along the lines that engaging with technology is OK for children and adolescents in moderation, but that excess involvement with all things electronic may have a downside. To me this seems little more than common sense. As I repeatedly say to people, I am certainly not anti-technology, but pro-responsible the use of it.

Most people will be aware that computers were first introduced into schools in the early-1980s. Since then, information technology has been steadily growing in importance in education rising from a minority option to a compulsory subject in the National Curriculum. Over the years I have watched as many national initiatives have attempted to get children acquainted with IT as early as possible.

No-one can deny that IT skills should be an important part of children’s educational development. However, there seem to be endless numbers of questions that we need to answer before proceeding at the current pace. For instance, should the seemingly growing emphasis on IT be continued at the expense of more traditional classroom learning experiences? Is the idea to increase the amount of classroom work done on computers going to breed a new generation of children who have forgotten how to hold a pen? Should we be introducing children to computers from the earliest age possible? Will computers ever replace teachers?

As a psychologist specializing in the effect of interactive technology in the lives of children, it still surprises me how late in my own life I was acquainted with modern technology. Back in 1982, I experienced my first taste of computers as a teenager playing Donkey Kong on my father’s Commodore 64. It wasn’t until I was 18 years of age and at university that I first did something educational on a computer. The fact that I do not feel I have been left behind in today’s technological generation suggests that children do not necessarily have to begin as young as possible to appreciate the educational benefits of IT (i.e. if I can catch up having not started until I was in my late teens, then there is no reason why others shouldn’t be able to do so).

There is no doubt that children’s day-to-day leisure habits have changed dramatically in the last 30 years. Today’s modern teenager may well have a television, CD player and computer game console in their bedroom and many have online access to the internet at home and at home via smartphones, tablets, and laptops. In essence, today’s teenagers live their lives in a multi-media world and are more “screenager” than teenager. What is the long-term effect of this change in children’s leisure behaviour? Over the last decade there have been countless independent research projects all claiming to give pointers as to the long-term effects of children spending more and more time in front of the screen. A decade ago, eminent psychologists (such as Philip Zimbardo) made the observation that there had been a dramatic increase in shyness rates, a doubling of children’s obesity levels, and that children were spending less time involved in physical activities (e.g. sports) than they used to. I cannot put all the blame for these observations at the door of IT developments, but I do think they play a contributory role.

There appears to be a movement that automatically views IT as the way forward on lots of things (particularly in education), and that the only way of self-betterment amongst our children is through increasing IT use. There is little good reason to assume that more always means better. It is my belief that children at school need an integrated balance between computer-assisted learning (including the development of IT skills), traditional learning methods (paper and pen, the three ‘R’s’ etc.), physical sporting activities, and enhancement of play and peer development. That is not to say that computers and the internet do not have their positive side. Even a quick think on the subject would indicate that computers can:

  • Be fun and exciting providing an innovative way of learning
  • Provide elements of interactivity that can stimulate learning
  • Provide elements of curiosity and challenge which can be crucial to learning
  • Equip children with state-of -the-art technology
  • Help overcome techno-phobia (a condition well-known among many adults)
  • Eliminate gender imbalance in IT use (males have traditionally tended to be more avid IT users)
  • Help in the development of transferable IT skills

However, on the down side, (and the last thing I want to be is a kill-joy here) computers (including internet use) can in some cases:

  • Be socially isolating (perhaps leading to increased shyness)
  • Be socially limiting (perhaps leading to physical inactivity and obesity)
  • Be time-consuming, engrossing, and in extreme cases addictive
  • Provide easy accessibility to exploitative material (e.g. pornography)
  • Provide easy accessibility to adult activities (e.g. internet gambling)
  • Provide IT skills that quickly change or become obsolete
  • Cause repetitive strain injuries
  • Produce unintended “sloppiness” (i.e. computers can correct spelling and grammar)

As can be seen by the list of ‘negatives’, some of the problems are not from the IT medium itself but from what children can do in that medium (e.g., access pornography or gamble at virtual casinos on the internet). Both parents and teachers need to be aware of IT’s limitations and need to put safeguards in place to protect children from unwanted exposure to adult material.

To re-iterate and expand on what I said earlier, there needs to be integration between lots of different activities (not just IT), and there needs to be a balance between IT and traditional education so that they can combine to form a richer experience for the children of tomorrow. IT will continue to have a large impact in the lives of our children. What teachers and parents need to concentrate on is not what to learn but how to learn. This in itself will have an impact on both the role of teachers and the contribution that parents can make.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (2010). Adolescent video game playing: Issues for the classroom. Education Today: Quarterly Journal of the College of Teachers, 60(4), 31-34.

Griffiths, M.D. (2010). Trends in technological advance: Implications for sedentary behaviour and obesity in screenagers. Education and Health, 28, 35-38.

Griffiths, M.D. (2013). Adolescent mobile phone addiction: A cause for concern? Education and Health, 31, 76-78.

Griffiths, M.D. (2013). Adolescent gambling via social networking sites: A brief overview. Education and Health, 31, 84-87.

Griffiths, M.D. & Kuss, D.J. (2011). Adolescent social networking: Should parents and teachers be worried? Education and Health, 29, 23-25.

Griffiths, M.D. & Parke, J. (2010). Adolescent gambling on the Internet: A review. International Journal of Adolescent Medicine and Health, 22, 59-75.

Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in adolescence: A literature review of empirical research. Journal of Behavioral Addictions, 1, 3-22.

Kuss, D.J., van Rooij, A.J., Shorter, G.W., Griffiths, M.D. & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.

Spekman,M.L.C., Konijn,E.A, Roelofsma,P.H.M.P. & Griffiths, M.D. (2013). Gaming addiction, definition, and measurement: A large-scale empirical study, Computers in Human Behavior, 29, 2150-2155.