Griffiths MD. A ‘components’ model of addiction within a biopsychosocial framework. J Subst Use. 2005;10:191–7.
Article
Google Scholar
Griffiths MD. Fruit machine gambling: the importance of structural characteristics. J Gambl Stud. 1993;9:101–20.
Article
Google Scholar
Griffiths MD. Gambling technologies: prospects for problem gambling. J Gambling Stud. 1999;15:265–83.
Article
Google Scholar
Griffiths MD, Parke J. The environmental psychology of gambling. In: Reith G, editor. Gambling: who wins? Who loses? New York: Prometheus Books; 2003. p. 277–92.
Google Scholar
Parke J, Griffiths MD. The psychology of the fruit machine: the role of structural characteristics (revisited). Int J Ment Health Addict. 2006;4:151–79.
Article
Google Scholar
• Parke J, Griffiths MD. The role of structural characteristics in gambling. In: Smith G, Hodgins D, Williams R, editors. Research and measurement issues in gambling studies. New York: Elsevier; 2007. p. 211–43. This was the first ever publication to devise a taxonomy for structural characteristics in the gambling studies field and was subsequently used as the basis for other taxonomies of video game structural characteristics.
Google Scholar
King DL, Delfabbro PH, Griffiths MD. The role of structural characteristics in problem video game playing: a review. Cyberpsychology. 2010;4(1):6.
Google Scholar
Brown RIF Gaming, gambling, risk-taking, addictions and a developmental model of a pathology of man-machine relationships. In: Klabberg J, Croowell D, de Jong H, Scheper W, editors. Simulation gaming. Oxford: Pergamon; 1989. p. 368.
Fisher S, Griffiths MD. Current trends in slot machine gambling: research and policy issues. J Gambl Stud. 1995;11:239–47.
CAS
PubMed
Article
Google Scholar
Griffiths MD. Amusement machine playing in childhood and adolescence: a comparative analysis of video games and fruit machines. J Adolescence. 1991;14:53–73.
CAS
Article
Google Scholar
• Karlsen F. Entrapment and near miss: a comparative analysis of psycho-structural elements in gambling games and massively multiplayer online role-playing games. Int J Ment Health Addict. 2011;9(2):193–207. An excellent qualitative study that comparatively examines and compares structural characteristics in video gaming to those in gambling with particular emphasis on the elements of near misses and entrapment
Article
Google Scholar
Johansson A, Gotestam KG. Problems with computer games without monetary reward: similarity to pathological gambling. Psychol Rep. 2004;95:641–50.
PubMed
Article
Google Scholar
Chase HW, Clark L. Gambling severity predicts midbrain response to near-miss outcomes. J Neuroscience. 2010;30:6180–7.
CAS
Article
Google Scholar
Clark L, Crooks B, Clarke R, Aitken MR, Dunn BD. Physiological responses to near-miss outcomes and personal control during simulated gambling. J Gambl Stud. 2012;28:123–37.
PubMed
Article
Google Scholar
Clark L, Lawrence AJ, Astley-Jones F, Gray N. Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron. 2009;61:481–90.
CAS
PubMed
PubMed Central
Article
Google Scholar
Clark L, Liu R, McKavanagh R, Garrett A, Dunn BD, Aitken MR. Learning and affect following near-miss outcomes in simulated gambling. J Behav Dec Making. 2013;26:442–50.
Article
Google Scholar
Côté D, Caron A, Aubert J, Desrochers V, Ladouceur R. Near wins prolong gambling on a video lottery terminal. J Gambl Stud. 2003;19:433–8.
PubMed
Article
Google Scholar
Dillen J, Dixon MR. The impact of jackpot and near-miss magnitude on rate and subjective probability of slot machine gamblers. Anal Gambl Behav. 2008;2:121–34.
Google Scholar
Dixon MR, Nastally BL, Hahs AD, Homer-King M, Jackson JW. Blackjack players demonstrate the near miss effect. Anal Gambl Behav. 2009;3:56–61.
Google Scholar
Dixon MR, Schreiber JE. Near-miss effects on response latencies and win estimations of slot machine players. Psychol Rec. 2004;54:335–48.
Article
Google Scholar
Dymond S, Lawrence NS, Dunkley BT, Yuen KS, Hinton EC, Dixon MR, et al. Almost winning: induced MEG theta power in insula and orbitofrontal cortex increases during gambling near-misses and is associated with BOLD signal and gambling severity. NeuroImage. 2014;91:210–9.
PubMed
Article
Google Scholar
Kassinove JI, Schare ML. Effects of the “near miss” and the “big win” on persistence at slot machine gambling. Psychol Addict Behav. 2011;15:155–8.
Article
Google Scholar
Luo Q, Wang Y, Qu C. The near-miss effect in slot-machine gambling: modulation of feedback-related negativity by subjective value. Neuroreport. 2011;22:989–93.
PubMed
Article
Google Scholar
MacLin OH, Dixon MR, Daugherty D, Small SL. Using a computer simulation of three slot machines to investigate a gambler’s preference among varying densities of near-miss alternatives. Behav Res Meth. 2007;39(2):237–41.
Article
Google Scholar
van Holst RJ, Chase HW, Clark L. Striatal connectivity changes following gambling wins and near-misses: associations with gambling severity. NeuroImage: Clinical. 2014;5:232–9.
Article
Google Scholar
Wohl MJ, Enzle ME. The effects of near wins and near losses on self-perceived personal luck and subsequent gambling behavior. J Exp Soc Psychol. 2003;39:184–91.
Article
Google Scholar
Stange M, Grau M, Osazuwa S, Graydon C, Dixon MJ. Reinforcing small wins and frustrating near-misses: further investigation into scratch card gambling. J Gambl Stud. 2017;33:47–63.
PubMed
Article
Google Scholar
Parke A, Harris A, Parke J, Goddard P. Understanding within-session loss-chasing: an experimental investigation of the impact of stake size on cognitive control. J Gambl Stud. 2016;32:721–35.
PubMed
Article
Google Scholar
Dixon L, Trigg R, Griffiths MD. An empirical investigation of music and gambling behaviour. Int Gambl Stud. 2007;7:297–308.
Article
Google Scholar
Spenwyn J, Barrett DKR, Griffiths MD. The role of lights and music in gambling behavior: an empirical pilot study. Int J Ment Health Addict. 2010;8:107–18.
Article
Google Scholar
Griffiths MD, Wood RTA. Risk factors in adolescence: the case of gambling, video-game playing and the internet. J Gambl Stud. 2000;16:199–225.
CAS
Article
PubMed
Google Scholar
Wanner E. The electronic bogeyman. Psychol Today. 1982;16(10):8–11.
Google Scholar
• Wood RTA, Griffiths MD, Chappell D, Davies MNO. The structural characteristics of video games: a psycho-structural analysis. CyberPsychol Behav. 2004;7:1–10. This was the first paper to empirically examine a wide range of structural characteristics in video gaming and was the empirical basis of a number of influential papers in the field that followed it. The fact that it used real gamers rather than university undergraduates was seen as one of the main strengths of the findings.
PubMed
Article
Google Scholar
Chumbley J, Griffiths MD. Affect and the computer game player: the effect of gender, personality, and game reinforcement structure on affective responses to computer game-play. CyberPsychol Behav. 2006;9:308–16.
PubMed
Article
Google Scholar
King DL, Delfabbro PH. Understanding and assisting excessive players of video games: a community psychology perspective. Aust Community Psychol. 2009;21:62–74.
Google Scholar
Wolfson S, Case G. The effects of sound and colour on responses to a computer game. Interact Comput. 2000;13(2):183–92.
Article
Google Scholar
Bracken CC, Skalski P. Telepresence and video games: the impact of image quality. PsychNology J. 2009;7(1):101–12.
Google Scholar
Minsky M. Telepresence. Omni. 1980:45–51.
Qin H, Patrick Rau PL, Salvendy G. Measuring player immersion in the computer game narrative. Int J Hum–Comput Interaction. 2009;25(2):107–33.
Article
Google Scholar
Lindley CA. Conditioning, learning and creation in games: narrative, the gameplay gestalt and generative simulation. Paper presented at the Workshop on Narrative and Interactive Learning Environments, Edinburgh. 2002.
Salen K, Zimmerman E. Games as narrative play. In: Salen K, Zimmerman E, editors. Rules of play: game design fundamentals. Cambridge: The MIT Press; 2004. p. 420–59.
Google Scholar
Majewski J. Theorizing video game narrative. Unpublished master’s thesis, Centre for Film, Television and Interactive Media, School of Humanities and Social Sciences, Queensland: Bond University, 2003.
Chen H, Wigand RT, Nilan MS. Optimal experience of web activities. Comput Hum Behav. 1999;15:585–608.
Article
Google Scholar
Ting-Jui C, Chih-Chen T. The role of flow experience in cyber-game addiction. CyberPsychol Behav. 2003;6:663–75.
Article
Google Scholar
Nakamura J, Csíkszentmihályi M. The concept of flow. In: Snyder CR, Lopez SJ, editors. Handbook of positive psychology. Oxford: Oxford University Press; 2005. p. 89–105.
Google Scholar
Hull DC, Williams GA, Griffiths MD. Video game characteristics, happiness and flow as predictors of addiction among video game players: a pilot study. J Behav Addict. 2013;2(3):145–52.
PubMed
PubMed Central
Article
Google Scholar
Lemmens JS, Valkenburg PM, Peter J. Development and validation of a game addiction scale for adolescents. Media Psychol. 2009;12:77–95.
Article
Google Scholar
• King DL, Delfabbro PH, Griffiths MD. Video game structural characteristics: a new psychological taxonomy. Int J Ment Health Addict. 2010;8:90–106. This is one of the most highly cited papers in the area of structural characteristics and video games and presented one of the most comprehensive taxonomies of structural characteristics in relation to computer games. The taxonomy has been used to underpin a number of the empirical studies outlined in this review.
Article
Google Scholar
Jackson SA, Eklund RC. The flow scale manual. Morgan Town: Fitness Information Technology; 2006.
Google Scholar
Hills P, Argyle M. The Oxford Happiness Questionnaire: a compact scale for the measurement of psychological well-being. Personality Indiv Diff. 2002;33:1073–82.
Article
Google Scholar
Gackenbach J. The relationship between video game flow and structure. Paper presented at the annual meeting of the International Communication Association, San Francisco, 2007.
• Laffan DA, Greaney J, Barton H, Kaye LK. The relationships between the structural video game characteristics, video game engagement and happiness among individuals who play video games. Comput Hum Behav. 2016;65:544–9. One of the best recent papers empirically examining structural characteristics in video gaming in relation to both flow and happiness
Article
Google Scholar
McCormack A, Griffiths MD. A scoping study of the structural and situational characteristics of internet gambling. Int J Cyber Behav Psychol Learn. 2013;3(1):29–49.
Article
Google Scholar
• King DL, Delfabbro PH, Griffiths MD. The role of structural characteristics in problematic video game play: an empirical study. Int J Ment Health Addict. 2011;9:320–33. This is one of the few studies that have empirically examined the impact of a wide range of structural characteristics on problematic gaming rather than one specific characteristic. The study was also carried out using real gamers rather than undergraduate populations.
Article
Google Scholar
Sherry JL, Greenberg BS, Lucas K, Lachlan K. Video game uses and gratifications as predictors of use and game preference. In: Vorderer P, Bryant J, editors. Playing video games: motives, responses and consequences. New York: Routledge; 2006. p. 248–62.
Google Scholar
• Westwood D, Griffiths MD. The role of structural characteristics in video game play motivation: a Q-methodology study. Cyberpsychol Behav Soc Netw. 2010;13:581–5. This is the only published paper in the literature in examine structural characteristics using Q-methodology and as such develops a new taxonomy of gamers based on structural characteristics used by real gamers. It is unlike any other study or taxonomy in the field but has yet to be empirically confirmed by other studies.
Article
PubMed
Google Scholar
Hunicke R, LeBlanc M, Zubek R. MDA: a formal approach to game design and game research. Proceedings of the AAAI Workshop on Challenges in Game AI 2004;4(1):1–5.
Winn BM. The design, play, and experience framework. In: Ferdig R, editor. Handbook of research on effective electronic gaming in education. Hershey: IGI Global; 2009. p. 1010–24.
Chapter
Google Scholar
Quick JM, Atkinson RK, Lin L. Empirical taxonomies of gameplay enjoyment: personality and video game preference. Int J Game-Based Learning. 2012;2(3):11–31.
Article
Google Scholar
Johnson JA. Measuring thirty facets of the five factor model with a 120-item public domain inventory: development of the IPIP-NEO-120. J Res Personality. 2014;51:78–89.
Article
Google Scholar
Peever N, Johnson DM, Gardner J. Personality and video game genre preferences. In IE ‘12 Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System. Auckland: ACM; 2012. p. 1–20.
Elliott L, Golub A, Ream G, Dunlap E. Video game genre as a predictor of problem use. Cyberpsychol Behav Soc Netw. 2012;15:155–61.
PubMed
PubMed Central
Article
Google Scholar
Floros G, Siomos K. Patterns of choices on video game genres and Internet addiction. Cyberpsychol Behav Soc Netw. 2012;15:417–24.
PubMed
Article
Google Scholar
Ghuman D, Griffiths MD. A cross-genre study of online gaming: player demographics, motivation for play, and social interactions among players. Int J Cyber Behav Psychol Learn. 2012;2(1):13–29.
Article
Google Scholar
Lee MS, Ko YH, Song HS, Kwon KH, Lee HS, Nam M, et al. Characteristics of Internet use in relation to game genre in Korean adolescents. Cyberpsychol Behav. 2006;10:278–85.
Article
Google Scholar
Männikkö N, Billieux J, Nordström T, Koivisto K, Kääriäinen M. Problematic gaming behaviour in Finnish adolescents and young adults: relation to game genres, gaming motives and self-awareness of problematic use. Int J Ment Health Addict. 2017;15(2):324–38.
Article
Google Scholar
Saint Sferra M, Fields S, Gentile D. Game type as a moderator of the relationship between pathological video game use, impulsivity, aggression, and general psychopathology. Drug Alcohol Depend. 2017;171:e187–8.
Article
Google Scholar
• Klemm C, Pieters W. Game mechanics and technological mediation: an ethical perspective on the effects of MMORPG’s. Ethics Inform Technol. 2017:1–13. doi:10.1007/s10676-017-9416-6. An excellent paper examining the ethics of game mechanics (essentially the structural characteristics of video games) and some of the more positive ways that structural characteristics could be used to promote healthy gaming rather than being used in a more exploitative manner.
Hamlen KR. Children’s choices and strategies in video games. Comput Hum Behav. 2011;27(1):532–9.
Article
Google Scholar
Tromp N, Hekkert P, Verbeek PP. Design for socially responsible behavior: a classification of influence based on intended user experience. Des Issues. 2011;27(3):3–19.
Article
Google Scholar
Davies B, Blake E. Evaluating existing strategies to limit video game playing time. IEEE Comput Graph Appl. 2016;36:47–57.
PubMed
Article
Google Scholar
Griffiths MD, King DL, Delfabbro PH. The technological convergence of gambling and gaming practices. In: Richard DCS, Blaszczynski A, Nower L, editors. The Wiley-Blackwell handbook of disordered gambling. Chichester: Wiley; 2014. p. 327–46.
Google Scholar
Gainsbury S, Hing N, Delfabbro PH, King DL. A taxonomy of gambling and casino games via social media and online technologies. Int Gambl Stud. 2014;14:196–213.
Article
Google Scholar
Griffiths MD. The psychosocial impact of professional gambling, professional video gaming, and eSports. Casino Gaming Int. 2017;28:59–63.
Google Scholar
van Rooij ATJ, Meerkerk G, Schoenmakers TM, Griffiths MD, van de Mheen D. Video game addiction and social responsibility. Addict Res Theory. 2010;18:489–93.
Article
Google Scholar
Yousafzai SY, Hussain Z, Griffiths MD. Social responsibility in online videogaming: what should the videogame industry do? Addict Res Theory. 2014;22:181–5.
Article
Google Scholar
Leino T, Sagoe D, Griffiths MD, Mentzoni RA, Pallesen S, Molde H. Gambling behavior in alcohol-serving and non-alcohol-serving venues: a study of electronic gaming machine players using account records. Addict Res Theory. 2017;25:201–7.
Article
Google Scholar
Leino T, Torsheim T, Blaszczynski A, Griffiths MD, Mentzoni R, Pallesen S, et al. The relationship between structural characteristics and gambling behavior: a population based study. J Gambl Stud. 2015;31:1297–315.
PubMed
Article
Google Scholar