Model of online game addiction: The role of computer-mediated communication motives

We develop a model based on computer-mediated communication and flow theories.Some crucial determinants of player addiction discussed in this study. Online games are rapidly gaining popularity. Because of increased awareness that online-game addiction is a legitimate concern, understanding why and how people become addicted to online games is crucial. Our research model was empirically evaluated using survey data collected from online-game users. The partial least squares method of structural equation modeling was used to examine the research hypothesis. The findings reveal that mediated motives (entertainment, passing time, and escape) and interpersonal motives (social interaction and coplaying) significantly influence flow experiences, which in turn influence addiction. In addition, this study implies that interpersonal motives influence the flow of online-game players more than mediated motives do. Previous studies have mainly focused on the negative effects of addiction, whereas this paper proposes that online-game addiction is crucial for flow. The findings of this study elucidate some crucial determinants of player addiction that have not been addressed by previous research. The behavior of online-game players has become a critical concern for online-game designers and providers. Therefore, researchers increasingly believe that understanding online-game player behavior is crucial to the success of online-game providers. This study suggests that online-game designers and providers must determine strategies for building interactive experiences that engage players and enhance interpersonal interactivity. This is a pilot study to empirically examine the role of flow experiences as well as its antecedents in online games by conceptualizing computer-mediated communication motives. Exploring the antecedents and consequences of flow for online-game addiction is a new research area of online-game research.

[1]  Brenda Laurel,et al.  Computers as theatre , 1991 .

[2]  Jinwoo Kim,et al.  Why People Continue to Play Online Games: In Search of Critical Design Factors to Increase Customer Loyalty to Online Contents , 2004, Cyberpsychology Behav. Soc. Netw..

[3]  Sang Yup Lee,et al.  Homophily and social influence among online casual game players , 2015, Telematics Informatics.

[4]  A. Rubin,et al.  Audience Activity and Soap Opera Involvement: A Uses and Effects Investigation. , 1987 .

[5]  I Marks,et al.  Behavioural (non-chemical) addictions. , 1990, British journal of addiction.

[6]  Jodi Asbell-Clarke,et al.  Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning , 2016, Comput. Hum. Behav..

[7]  M. Csíkszentmihályi.  The Evolving Self: A Psychology for the Third Millennium , 1993 .

[8]  Kevin Lane Keller.  Conceptualizing, Measuring, and Managing Customer-Based Brand Equity , 1993 .

[9]  Ki-Young Lee,et al.  Consumer processing of virtual experience in e-commerce: A test of an integrated framework , 2012, Comput. Hum. Behav..

[10]  David Myers,et al.  Time, symbol transformations and computer games. , 1992 .

[11]  John P. Charlton,et al.  Distinguishing addiction and high engagement in the context of online game playing , 2007, Comput. Hum. Behav..

[12]  Kim Yang-Eun,et al.  A Study on the Online Game Use Influences inGame Flow and Addiction: Focusing on the Uses and Gratifications Approach , 2007 .

[13]  I-Cheng Chang,et al.  The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games , 2014, Internet Res..

[14]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[15]  M. Csíkszentmihályi.  Beyond boredom and anxiety , 1975 .

[16]  Kennon M. Sheldon,et al.  A two-process view of Facebook use and relatedness need-satisfaction: disconnection drives use, and connection rewards it. , 2011, Journal of personality and social psychology.

[17]  Ming-Chi Lee,et al.  Understanding the behavioural intention to play online games: An extension of the theory of planned behaviour , 2009, Online Inf. Rev..

[18]  Kai Sassenberg,et al.  Unsubscribe, Pleeezz!!!: Management and Training of Media Competence in Computer-Mediated Communication , 2002, Cyberpsychology Behav. Soc. Netw..

[19]  Chin-Siang Ang,et al.  Understanding computer-mediated communication attributes and life satisfaction from the perspectives of uses and gratifications and self-determination , 2015, Comput. Hum. Behav..

[20]  M. Griffiths,et al.  Problematic Internet and cell phone use in Spanish teenagers and young students , 2012 .

[21]  Paul M. Haridakis,et al.  The Role of Internet User Characteristics and Motives in Explaining Three Dimensions of Internet Addiction , 2009, J. Comput. Mediat. Commun..

[22]  Tzung-Ru Tsai,et al.  What Drives People to Continue to Play Online Games? An Extension of Technology Model and Theory of Planned Behavior , 2010, Int. J. Hum. Comput. Interact..

[23]  S. Deshpande,et al.  Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction , 1994 .

[24]  Yoo Jung Kim,et al.  Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization , 2014, Comput. Hum. Behav..

[25]  M. Stojakovic.  Depression and internet addiction: Correlation and treatment approaches , 2011, European Psychiatry.

[26]  Robert M. Davison,et al.  Interactive or interruptive? Instant messaging at work , 2011, Decis. Support Syst..

[27]  Scott E. Caplan,et al.  Problematic Internet use and psychosocial well-being among MMO players , 2009, Comput. Hum. Behav..

[28]  Dong-Hee Shin,et al.  Analysis of online social networks: a cross-national study , 2010, Online Inf. Rev..

[29]  M. Csíkszentmihályi.  Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[30]  Zaheer Hussain,et al.  The Attitudes, Feelings, and Experiences of Online Gamers: A Qualitative Analysis , 2009, Cyberpsychology Behav. Soc. Netw..

[31]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[32]  Elizabeth M. Perse,et al.  Implications of cognitive and affective involvement for channel changing , 1998 .

[33]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[34]  Tao Zhou,et al.  Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience , 2011, Comput. Hum. Behav..

[35]  Lan-Ying Huang,et al.  Predicting online game loyalty based on need gratification and experiential motives , 2011, Internet Res..

[36]  B. Laurel,et al.  Computer as Theatre , 1993 .

[37]  Chechen Liao,et al.  An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations , 2008, Comput. Stand. Interfaces.

[38]  Yufei Yuan,et al.  Online game addiction among adolescents: motivation and prevention factors , 2012, Eur. J. Inf. Syst..

[39]  Byeng-Hee Chang,et al.  Exploring factors affecting the adoption and continuance of online games among college students in South Korea , 2006, New Media Soc..

[40]  A. Rubin,et al.  Interface of personal and mediated communication: A research agenda , 1985 .

[41]  A. Rubin,et al.  Predictors of Internet Use , 2000 .

[42]  Miguel Nussbaum,et al.  Playability in Action Videogames: A Qualitative Design Model , 2002, Hum. Comput. Interact..

[43]  K. Young.  Internet addiction: evaluation and treatment , 1999, BMJ.

[44]  Robert LaRose,et al.  Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? , 2003 .

[45]  Zach W. Y. Lee,et al.  1 Massively multiplayer online game addiction : instrument development and validation , 2018 .

[46]  Deborah J. Armstrong,et al.  Exploring neuroticism and extraversion in flow and user generated content consumption , 2014, Inf. Manag..

[47]  Hsi-Peng Lu,et al.  The role of Internet addiction in online game loyalty: an exploratory study , 2008, Internet Res..

[48]  Bong Gyou Lee,et al.  SNS flow, SNS self-disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user , 2014, Comput. Hum. Behav..

[49]  Peter H. Bloch,et al.  The shopping mall as consumer habitat , 1994 .

[50]  Griffiths,et al.  Internet “addiction”: an issue for clinical psychology? , 1996, Clinical Psychology Forum.

[51]  Panayiotis Zaphiris,et al.  A model of cognitive loads in massively multiplayer online role playing games , 2007, Interact. Comput..

[52]  Tristan Henderson,et al.  Latency and User Behaviour on a Multiplayer Game Server , 2001, Networked Group Communication.

[53]  Inwon Kang,et al.  Internet addiction as a manageable resource: a focus on social network services , 2013, Online Inf. Rev..

[54]  Shaojing Sun,et al.  An examination of disposition, motivation, and involvement in the new technology context computers in human behavior , 2008, Comput. Hum. Behav..

[55]  Thomas J. Johnson,et al.  Online and in the Know: Uses and Gratifications of the Web for Political Information , 2002 .

[56]  Hsiang Chen,et al.  Flow on the net-detecting Web users' positive affects and their flow states , 2006, Comput. Hum. Behav..

[57]  John L. Sherry.  Flow and Media Enjoyment , 2004 .

[58]  Mihaly Csikszentmihalyi,et al.  Good Business: Leadership, Flow, and the Making of Meaning , 2003 .

[59]  Robert M. Davison,et al.  Employee creativity formation: The roles of knowledge seeking, knowledge contributing and flow experience in Web 2.0 virtual communities , 2013, Comput. Hum. Behav..

[60]  Rolf T. Wigand,et al.  Exploring Web users' optimal flow experiences , 2000, Inf. Technol. People.

[61]  J. Doll,et al.  Motives of Adolescents to Use the Internet as a Function of Personality Traits, Personal and Social Factors , 2001 .

[62]  Chiao-Chen Chang,et al.  Examining users′ intention to continue using social network games: A flow experience perspective , 2013, Telematics Informatics.

[63]  Dennis F. Galletta,et al.  How Endogenous Motivations Influence User Intentions: Beyond the Dichotomy of Extrinsic and Intrinsic User Motivations , 2008, J. Manag. Inf. Syst..

[64]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[65]  D. McQuail.  McQuail's Mass Communication Theory , 2000 .

[66]  Chih-Chien Wang,et al.  An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction , 2014, Inf. Manag..

[67]  David J. Shernoff,et al.  Student engagement in high school classrooms from the perspective of flow theory. , 2003 .

[68]  M. Griffiths.  A ‘components’ model of addiction within a biopsychosocial framework , 2005 .

[69]  Radhika Santhanam,et al.  Digital Games and Beyond: What Happens When Players Compete , 2013, MIS Q..

[70]  Jenova Chen,et al.  Flow in games (and everything else) , 2007, CACM.

[71]  David C. Yen,et al.  An exploratory study of the selection of communication media: The relationship between flow and communication outcomes , 2008, Decis. Support Syst..

[72]  Hyun-Jin Choi,et al.  Security issues in online games , 2002, Electron. Libr..

[73]  Loretta L. Pecchioni,et al.  Beyond Entertainment , 2016, Games Cult..

[74]  M. Csíkszentmihályi.  Flow: The Psychology of Optimal Experience , 1990 .

[75]  Miriam J. Metzger,et al.  Internet use in the contemporary media environment. , 2001 .

[76]  Cheng-Chieh Hsiao,et al.  The effects of a player's network centrality on resource accessibility, game enjoyment, and continuance intention: A study on online gaming communities , 2012, Electron. Commer. Res. Appl..

[77]  Peter M. Wiemer-Hastings,et al.  Addiction to the Internet and Online Gaming , 2005, Cyberpsychology Behav. Soc. Netw..

[78]  J. Walther.  Interpersonal Effects in Computer-Mediated Interaction , 1992 .

[79]  Zaheer Hussain,et al.  An exploratory study of the association between online gaming addiction and enjoyment motivations for playing massively multiplayer online role-playing games , 2015, Comput. Hum. Behav..

[80]  Giuseppe Riva,et al.  Why Is Facebook So Successful? Psychophysiological Measures Describe a Core Flow State While Using Facebook , 2011, Cyberpsychology Behav. Soc. Netw..

[81]  Ting-Jui Chou,et al.  The Role of Flow Experience in Cyber-Game Addiction , 2003, Cyberpsychology Behav. Soc. Netw..

[82]  Steven Pace,et al.  A grounded theory of the flow experiences of Web users , 2004, Int. J. Hum. Comput. Stud..

[83]  John Scott Lewinski,et al.  Developer's guide to computer game design , 1999 .

[84]  Everton Botelho Sougey,et al.  Cross-cultural adaptation and evaluation of the psychometric properties of the Brazilian version of the Video Game Addiction Test , 2016, Comput. Hum. Behav..

[85]  Yeojin Kim,et al.  Self-traits and motivations as antecedents of digital media flow and addiction: The Internet, mobile phones, and video games , 2013, Comput. Hum. Behav..

[86]  K. Amant.  When Cultures and Computers Collide Rethinking Computer-Mediated Communication according to International and Intercultural Communication Expectations , 2002 .

[87]  Alexander E. Voiskounsky,et al.  Playing Online Games: Flow Experience , 2004, PsychNology J..

[88]  Jen-Her Wu,et al.  Falling in love with online games: The uses and gratifications perspective , 2010, Comput. Hum. Behav..

[89]  Dong-Mo Koo,et al.  The moderating role of locus of control on the links between experiential motives and intention to play online games , 2009, Comput. Hum. Behav..

[90]  Yuan Gao,et al.  Factors influencing user trust in online games , 2005, Electron. Libr..

[91]  Paul M. Haridakis,et al.  Social Interaction and Co-Viewing With YouTube: Blending Mass Communication Reception and Social Connection , 2009 .

[92]  H. Qin,et al.  Construction of online game addiction based on player experience , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[93]  John P. Charlton,et al.  A factor-analytic investigation of computer 'addiction' and engagement. , 2002, British journal of psychology.

[94]  Ya-Ping Chang,et al.  The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China , 2012, Comput. Hum. Behav..

[95]  Yongqiang Sun,et al.  Understanding the Antecedents of Mobile Game Addiction: The Roles of Perceived Visibility, Perceived Enjoyment and Flow , 2015, PACIS.

[96]  Peta Wyeth,et al.  GameFlow: a model for evaluating player enjoyment in games , 2005, CIE.

[97]  Fevzi Okumus,et al.  Applying flow theory to booking experiences: An integrated model in an online service context , 2015, Inf. Manag..

[98]  Mark D. Griffiths,et al.  IN STUDENTS : PREVALENCE AND RISK FACTORS 1 Internet addiction in students : Prevalence and risk factors , 2014 .

[99]  Paul M. Haridakis,et al.  The Role of Motivation and Media Involvement in Explaining Internet Dependency , 2008 .

[100]  Carl Gutwin,et al.  Learning from Games: HCI Design Innovations in Entertainment Software , 2003, Graphics Interface.

[101]  Archana Krishnan,et al.  The Influence of Computer-Mediated Communication Apprehension on Motives for Facebook Use , 2012 .

[102]  John P. Charlton,et al.  Validating the distinction between computer addiction and engagement: online game playing and personality , 2010, Behav. Inf. Technol..

[103]  De Liu,et al.  The Effects of Trust and Enjoyment on Intention to Play Online Games , 2007 .

[104]  Jamie Carlson,et al.  Examining the effects of website-induced flow in professional sporting team websites , 2010, Internet Res..

[105]  Sarah M Coyne,et al.  "Turn that thing off!" parent and adolescent predictors of proactive media monitoring. , 2011, Journal of adolescence.

[106]  Ulrika Sjöberg,et al.  The rise of the electronic individual: A study of how young Swedish teenagers use and perceive Internet , 1999, Telematics Informatics.

[107]  Samuel Ebersole,et al.  Uses and Gratifications of the Web among Students , 2006, J. Comput. Mediat. Commun..

[108]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[109]  Steve Sussman,et al.  Hidden addiction: Television , 2013, Journal of behavioral addictions.

[110]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[111]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[112]  PEI-LUEN PATRICK RAU,et al.  Time Distortion for Expert and Novice Online Game Players , 2006, Cyberpsychology Behav. Soc. Netw..

[113]  Boaventura DaCosta,et al.  The world's most intense online gaming culture: Addiction and high-engagement prevalence rates among South Korean adolescents and young adults , 2012, Comput. Hum. Behav..

[114]  Jerald J. Block.  Issues for DSM-V: internet addiction. , 2008, The American journal of psychiatry.

[115]  Heejin Lee,et al.  What makes people experience flow? Social characteristics of online games , 2005, Int. J. Adv. Media Commun..

[116]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .