Playful-Consumption Experience in Digital Game Playing: A Scale Development

  • Amir Zaib AbbasiEmail author
  • Ding Hooi Ting
  • Helmut Hlavacs
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)


This paper intends to develop a scale to measure a videogame player’s emotional, sensory, and imaginal experiences in digital gaming. We first define the construct of playful-consumption experience in videogame playing and accordingly, develop a scale for measuring playful experiences in videogames. We collected the data of 225 valid respondents which were further analyzed through exploratory factor analysis (EFA) and reliability analysis. The results of EFA and reliability analysis reported that the loaded items were emerged into a seven factor solution and all constructs have good reliability. This study is unique in the videogame literature as it uses the theoretical definition of playful-consumption experience to define and measure the player’s experiences in videogame playing as playful-consumption experience of videogame play.


Videogame Playful-consumption experience Imaginal experience Emotional experience Sensory experience Scale development 


  1. 1.
    Brooks, F.M., Chester, K.L., Smeeton, N.C., Spencer, N.H.: Video gaming in adolescence: factors associated with leisure time use. J. Youth Stud. 19, 36–54 (2016)CrossRefGoogle Scholar
  2. 2.
    Karsten, L.: It all used to be better? Different generations on continuity and change in urban children’s daily use of space. Child. Geographies 3, 275–290 (2005)CrossRefGoogle Scholar
  3. 3.
    Brooks, F., Magnusson, J., Klemera, E., Spencer, N., Morgan, A.: HBSC England National Report: Health behaviour in school-aged children (HBSC). World Health Organization collaborative cross national study (2011)Google Scholar
  4. 4.
    Kuntsche, E., Simons-Morton, B., Ter Bogt, T., Queija, I.S., Tinoco, V.M., de Matos, M.G., et al.: Electronic media communication with friends from 2002 to 2006 and links to face-to-face contacts in adolescence: an HBSC study in 31 European and North American countries and regions. Int. J. Public Health 54, 243–250 (2009)CrossRefGoogle Scholar
  5. 5.
    Olson, C.K., Kutner, L.A., Warner, D.E., Almerigi, J.B., Baer, L., Nicholi, A.M., et al.: Factors correlated with violent video game use by adolescent boys and girls. J. Adolesc. Health 41, 77–83 (2007)CrossRefGoogle Scholar
  6. 6.
    Mukherjee, S., Mukherjee, S., Lau-Gesk, L., Lau-Gesk, L.: Retrospective evaluations of playful experiences. J. Consum. Mark. 33, 387–395 (2016)CrossRefGoogle Scholar
  7. 7.
    Borderie, J., Michinov, N.: Identifying flow in video games: towards a new observation-based method. Int. J. Gaming Comput. Mediated Simul. (IJGCMS) 8, 19–38 (2016)CrossRefGoogle Scholar
  8. 8.
    Phan, M.H., Keebler, J.R., Chaparro, B.S.: The Development and Validation of the Game User Experience Satisfaction Scale (GUESS). Hum. Factors: J. Hum. Factors Ergon. Soc. 58(8), 1217–1247 (2016). doi: 10.1177/0018720816669646 CrossRefGoogle Scholar
  9. 9.
    Newzoo: Top 100 countries by game revenues, 4 April 2017Google Scholar
  10. 10.
    Kuah, K.: MDEC and The Malaysian Gaming Industry (2016)Google Scholar
  11. 11.
    Newzoo: 2016 Global games market report: an overview of trends & insights (2016)Google Scholar
  12. 12.
    Seo, Y., Buchanan-Oliver, M., Fam, K.S.: Advancing research on computer game consumption: A future research agenda. J. Consum. Behav. 14, 353–356 (2015)CrossRefGoogle Scholar
  13. 13.
    Calvillo-Gámez, E.H., Cairns, P., Cox, A.L.: Assessing the core elements of the gaming experience. In: Bernhaupt, R. (ed.) Game User Experience Evaluation, pp. 37–62. Springer, Heidelberg (2015)Google Scholar
  14. 14.
    Brown, E., Cairns, P.: A grounded investigation of game immersion. In: CHI 2004 Extended Abstracts on Human Factors in Computing Systems, pp. 1297–1300 (2004)Google Scholar
  15. 15.
    Cheng, M.T., She, H.C., Annetta, L.A.: Game immersion experience: its hierarchical structure and impact on game-based science learning. J. Comput. Assist. Learn. 31, 232–253 (2015)CrossRefGoogle Scholar
  16. 16.
    Ermi, L., Mäyrä, F.: Fundamental components of the gameplay experience: Analysing immersion. In: Worlds in play: International perspectives on digital games research, vol. 37, p. 2 (2005)Google Scholar
  17. 17.
    Jennett, C., Cox, A.L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., et al.: Measuring and defining the experience of immersion in games. Int. J. Hum. Comput. Stud. 66, 641–661 (2008)CrossRefGoogle Scholar
  18. 18.
    Qin, H., Patrick Rau, P.-L., Salvendy, G.: Measuring player immersion in the computer game narrative. Int. J. Hum. Comput. Interact. 25, 107–133 (2009)CrossRefGoogle Scholar
  19. 19.
    IJsselsteijn, W., Van Den Hoogen, W., . Klimmt, W., De Kort, Y., Lindley, C., Mathiak, K., et al.: Measuring the experience of digital game enjoyment. In: Proceedings of Measuring Behavior, pp. 88–89 (2008)Google Scholar
  20. 20.
    Chen, J.: Flow in games (and everything else). Commun. ACM 50, 31–34 (2007)CrossRefGoogle Scholar
  21. 21.
    Fu, F.-L., Su, R.-C., Yu, S.-C.: EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Comput. Educ. 52, 101–112 (2009)CrossRefGoogle Scholar
  22. 22.
    Sweetser, P., Wyeth, P.: GameFlow: a model for evaluating player enjoyment in games. Comput. Entertain. (CIE) 3(3), 3 (2005)CrossRefGoogle Scholar
  23. 23.
    Koster, R.: A Theory of Fun in Game Design. Paraglyph Press, Scottsdale (2005)Google Scholar
  24. 24.
    Koster, R.: Theory of Fun for Game Design. O’Reilly Media Inc., Sebastopol (2013)Google Scholar
  25. 25.
    Poels, K., de Kort, Y., Ijsselsteijn, W.: It is always a lot of fun!: exploring dimensions of digital game experience using focus group methodology. In: Proceedings of the 2007 Conference on Future Play, pp. 83–89 (2007)Google Scholar
  26. 26.
    Poels, K., de Kort, Y., Ijsselsteijn, W.: FUGA-The fun of gaming: Measuring the human experience of media enjoyment. Deliverable D3. 3: Game Experience Questionnaire. FUGA project (2008)Google Scholar
  27. 27.
    De Kort, Y.A., IJsselsteijn, W.A., Poels, K.: Digital games as social presence technology: Development of the Social Presence in Gaming Questionnaire (SPGQ). In: Proceedings of Presence, vol. 195–203 (2007)Google Scholar
  28. 28.
    Churchill Jr., G.A.: A paradigm for developing better measures of marketing constructs. J. Mark. Res. 16(1), 64–73 (1979)CrossRefGoogle Scholar
  29. 29.
    MacKenzie, S.B., Podsakoff, P.M., Podsakoff, N.P.: Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Q. 35, 293–334 (2011)CrossRefGoogle Scholar
  30. 30.
    Holbrook, M.B., Chestnut, R.W., Oliva, T.A., Greenleaf, E.A.: Play as a consumption experience: The roles of emotions, performance, and personality in the enjoyment of games. J. Consum. Res. 11(2), 728–739 (1984)CrossRefGoogle Scholar
  31. 31.
    Buchanan-Oliver, M., Seo, Y.: Play as co-created narrative in computer game consumption: The hero’s journey in Warcraft III. J. Consum. Behav. 11, 423–431 (2012)CrossRefGoogle Scholar
  32. 32.
    Hirschman, E.C.: Predictors of self-projection, fantasy fulfillment, and escapism. J. Soc. Psychol. 120, 63–76 (1983)CrossRefGoogle Scholar
  33. 33.
    Hirschman, E.C., Holbrook, M.B.: Hedonic consumption: emerging concepts, methods and propositions. J. Mark. 46(3), 92–101 (1982)CrossRefGoogle Scholar
  34. 34.
    Wu, J., Holsapple, C.: Imaginal and emotional experiences in pleasure-oriented IT usage: A hedonic consumption perspective. Inf. Manag. 51, 80–92 (2014)CrossRefGoogle Scholar
  35. 35.
    Mizerski, R., Pucely, M.J., Perrewe, P., Baldwin, L.: An experimental evaluation of music involvement measures and their relationship with consumer purchasing behavior. Popular Music Soc. 12, 79–96 (1988)CrossRefGoogle Scholar
  36. 36.
    Pucely, M.J., Mizerski, R., Perrewe, P.: A comparison of involvement measures for the purchase and consumption of pre-recorded music. NA-Adv. Consum. Res. 15, 37–42 (1988)CrossRefGoogle Scholar
  37. 37.
    Stewart, S.M.: Artist-fan engagement model: Implications for music consumption and the music industry. The University of Alabama TUSCALOOSA (2013)Google Scholar
  38. 38.
    Lee, O.-K.D., Xu, P., Kuilboer, J.-P., Ashrafi, N.: User acceptance of second life: An extended TAM including hedonic consumption behaviours (2009)Google Scholar
  39. 39.
    Lacher, K.T., Mizerski, R.: An exploratory study of the responses and relationships involved in the evaluation of, and in the intention to purchase new rock music. J. Consum. Res. 21, 366–380 (1994)CrossRefGoogle Scholar
  40. 40.
    Mathwick, C., Malhotra, N., Rigdon, E.: Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment☆. J. Retail. 77, 39–56 (2001)CrossRefGoogle Scholar
  41. 41.
    Overmars, S., Poels, K.: How product representation shapes virtual experiences and re-patronage intentions: the role of mental imagery processing and experiential value. Int. Rev. Retail Distrib. Consum. Res. 25, 236–259 (2015)CrossRefGoogle Scholar
  42. 42.
    Swanson, G.E.: Travels trough inner space: family structure and openness to absorbing experiences. American Journal of Sociology 83(4), 890–919 (1978)CrossRefGoogle Scholar
  43. 43.
    Agarwal, R., Karahanna, E.: Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Q. 24(4), 665–694 (2000)CrossRefGoogle Scholar
  44. 44.
    Lee, D., LaRose, R.: A socio-cognitive model of video game usage. J. Broadcast. Electron. Media 51, 632–650 (2007)CrossRefGoogle Scholar
  45. 45.
    Kaiser, H.F.: An index of factorial simplicity. Psychometrika 39, 31–36 (1974)CrossRefzbMATHGoogle Scholar
  46. 46.
    Kim, J.-H., Ritchie, J.B., McCormick, B.: Development of a scale to measure memorable tourism experiences. J. Travel Res. 51, 12–25 (2012)CrossRefGoogle Scholar
  47. 47.
    Jolliffe, I.: Principal component analysis. Wiley Online Library (2002)Google Scholar
  48. 48.
    Hair Jr., J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oaks (2013)zbMATHGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Amir Zaib Abbasi
    • 1
    Email author
  • Ding Hooi Ting
    • 1
  • Helmut Hlavacs
    • 2
  1. 1.Department of Management and HumanitiesUniversiti Teknologi PetronasTronohMalaysia
  2. 2.Research Group Entertainment ComputingUniversity of ViennaViennaAustria

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