Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players

This study was a collaborative investigation between the disciplines of computing and social sciences to determine whether poker players accurately assess their relative skill level. Of particular interest was whether online poker players exhibit higher degrees of distorted thinking about skill when compared to offline gamblers, in the absence of superior proficiency. Two hundred and seventy-eight gamblers played a simulated game of Texas Hold'em poker against a computer controlled opponent. The computer program has been used in artificial intelligence simulated games against actual poker players and can mathematically estimate skill. Information was collected about player demographics, poker experience, cognitive distortions, and subjective perception of poker skills. The results of study revealed that online gamblers had a greater perception of perceived skill when compared to offline gamblers, despite showing no superiority in poker ability. General gamblingrelated cognitions and subjective rating of poker skill contributed to categorization as an online gambler. Gambling more frequently in offline formats and playing for longer periods significantly influenced the perception of poker skill for online gamblers. From a treatment perspective, it is more difficult to address games like poker because the chance component is equivocal and interpretive biases may be especially difficult to combat.

[1]  Mark D. Griffiths,et al.  Acquisition, Development, and Maintenance of Online Poker Playing in a Student Sample , 2007, Cyberpsychology Behav. Soc. Netw..

[2]  L. Ross,et al.  The intuitive psychologist and his shortcomings: Distortions in the attribution process”, in Ed), Advances in Experimental Social New York, pp. . , 1977 .

[3]  Ingeborg Lund Irrational beliefs revisited: Exploring the role of gambling preferences in the development of misconceptions in gamblers , 2011 .

[4]  Michael J. A. Wohl,et al.  Untreated young gamblers with game-specific problems: Self-concept involving luck, gambling ecology and delay in seeking professional treatment , 2005 .

[5]  Rosa Dragonetti,et al.  Cognitive Distortions in Heavy Gambling , 2004, Journal of Gambling Studies.

[6]  Mark D. Griffiths,et al.  Internet gambling: an overview of psychosocial impacts , 2006 .

[7]  Pierre L'Ecuyer,et al.  Efficiency improvement and variance reduction , 1994, Proceedings of Winter Simulation Conference.

[8]  Michael H. Bowling,et al.  Optimal Unbiased Estimators for Evaluating Agent Performance , 2006, AAAI.

[9]  Martin Cloutier,et al.  Internet gambling: misleading payout rates during the "demo" period , 2005, Comput. Hum. Behav..

[10]  F. Harrell,et al.  Regression modelling strategies for improved prognostic prediction. , 1984, Statistics in medicine.

[11]  Mark D. Griffiths,et al.  The cognitive psychology of gambling , 1990, Journal of gambling studies.

[12]  Bob Erens,et al.  Sociodemographic Correlates of Internet Gambling: Findings from the 2007 British Gambling Prevalence Survey , 2009, Cyberpsychology Behav. Soc. Netw..

[13]  H. Lesieur,et al.  The South Oaks Gambling Screen (SaGS): A New Instrument for the Identification of Pathological Gamblers , 2010 .

[14]  David C. Hodgins,et al.  Cognitive distortions as a problem gambling risk factor in Internet gambling , 2012 .

[15]  June Cotte,et al.  Blackjack in the Kitchen: Understanding Online versus Casino Gambling , 2009 .

[16]  Anthony A. B. Hopley,et al.  Predictive Factors of Excessive Online Poker Playing , 2010, Cyberpsychology Behav. Soc. Netw..

[17]  Mark D. Griffiths,et al.  Social Facilitation in Online and Offline Gambling: A Pilot Study , 2011, International Journal of Mental Health and Addiction.

[18]  L. Ross The Intuitive Psychologist And His Shortcomings: Distortions in the Attribution Process1 , 1977 .

[19]  J. Whelan,et al.  Development and validation of the Gamblers' Beliefs Questionnaire. , 2002, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[20]  R. Williams Prevention of Problem Gambling: A Comprehensive Review of the Evidence , 2008 .

[21]  M. Mayrand,et al.  Primary and Secondary Illusory Control and Risk-Taking in Gambling (Roulette) , 1986, Psychological reports.

[22]  Jac Brown,et al.  Poker Mania and Problem Gambling: A Study of Distorted Cognitions, Motivation and Alexithymia , 2009, Journal of Gambling Studies.

[23]  R. LaBrie,et al.  Pathological gambling among adolescents: Massachusetts Gambling Screen (MAGS) , 1994, Journal of Gambling Studies.

[24]  Debi A. LaPlante,et al.  Sitting at the virtual poker table: A prospective epidemiological study of actual Internet poker gambling behavior , 2009, Comput. Hum. Behav..

[25]  R. Volberg,et al.  Defining the online gambler and patterns of behaviour integration: evidence from the British Gambling Prevalence Survey 2010 , 2011 .

[26]  Robert T. Wood,et al.  Internet Gambling: Prevalence, Patterns, Problems, and Policy Options , 2009 .

[27]  M. Griffiths,et al.  Internet Gambling: An Online Empirical Study Among Student Gamblers , 2008, International Journal of Mental Health and Addiction.

[28]  T. Toneatto,et al.  Cognitive psychopathology of problem gambling. , 1999, Substance use & misuse.

[29]  D. Hodgins,et al.  Differences between Poker Players and Non-Poker-Playing Gamblers , 2008 .

[30]  R. Volberg,et al.  Unaffordable Losses: Estimating the Proportion of Gambling Revenues Derived from Problem Gamblers , 1998 .

[31]  Robert T. Wood,et al.  The Proportion of Gaming Revenue Derived from Problem Gamblers: Examining the Issues in a Canadian Context , 2004 .

[32]  Jeremiah Weinstock,et al.  Internet gambling is common in college students and associated with poor mental health. , 2007, The American journal on addictions.

[33]  Alex Blaszczynski,et al.  A digital revolution: Comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers , 2012, Comput. Hum. Behav..

[34]  L. S. Feldt,et al.  THE SELECTION OF VARIABLES IN MULTIPLE REGRESSION ANALYSIS , 1970 .

[35]  R. A. Davis,et al.  A cognitive-behavioral model of pathological Internet use , 2001, Comput. Hum. Behav..

[36]  R. H. Myers Classical and modern regression with applications , 1986 .

[37]  Douglas K. Detterman,et al.  Poker Is a Skill , 2008 .

[38]  Robert T. Wood,et al.  Problem gambling on the internet: implications for internet gambling policy in North America , 2007, New Media Soc..

[39]  Duane Szafron,et al.  Strategy evaluation in extensive games with importance sampling , 2008, ICML '08.

[40]  Ingo Fiedler,et al.  The Market for Online Poker , 2011 .