Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Evaluation of Flow Level through Pupil Size, Blink Rate and Blink Duration in Different Types of Smartphone Games

  • Received : 2017.07.13
  • Accepted : 2018.09.11
  • Published : 2018.10.31
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Abstract

Objective: This study examines the variables related to eye-activity which could calculate and quantify a user's flow level in three types of smartphone games. Background: The issue of flow level or addiction related to digital media has mushroomed. Method: A total of 25 subjects participated in this experiment. Three different types of smartphone games, utilizing the different flow experiences as defined by user questionnaire, were used for the experiments in this study. We measured the pupil size, blink rate and blink duration of the experiments' participants using an eye-tracking device called FaceLab. Deeper flow experiences corresponded with bigger pupil sizes. Results: The results showed that pupil size and blink rate differed statistically by game type and game time. Puzzle game showed a higher pupil size than dot-to-dot and coloring games. Pupil size showed differed by game time (p<0.05) and large pupil size showed in the final period. Blink rate differed statistically by game time (p<0.01) except game type. Blink duration did not differ statistically by independent variables. Conclusion: A quantitative study of the flow experience could help solve the problem in a measure of media flow level. Despite the spread of digital-media flow level, there have not been many studies on the actual effects of these flow level. Application: To prevent this issue from getting too far out of hand, this study examines different types of mobile games addiction using variables of eye-activity: pupil size, blink rate, and blink duration.

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References

  1. Bolls, P.D., Lang, A. and Potter, R.F., The effects of message valence and listener arousal on attention, memory, and facial muscular responses to radio advertisements. Communication Research, 28(5), 627-651, 2001. https://doi.org/10.1177/009365001028005003
  2. Caffier, P.P., Erdmann, U. and Ullsperger, P., Experimental evaluation of eye-blink parameters as a drowsiness measure. European Journal of Applied Physiology, 89(3-4), 319-325, 2003. https://doi.org/10.1007/s00421-003-0807-5
  3. Chiang, Y.T., Lin, S.S., Cheng, C.Y. and Liu, E.Z.F., Exploring Online Game Players' Flow Experiences and Positive Affect. The Turkish Online Journal of Educational Technoligy, 10(1), 106-114, 2011.
  4. Cho, E.J., Kweon, S.H. and Cho, B.C., A study of presence perception tendency by genres on 3DTV. Korean Journal of Broadcasting and Telecommunication Studies, 24(4), 253-292, 2010.
  5. Cho, Y. and Shin, J.Y., The influence of type of computer and VDT work on the dryness of eye. Journal of Korean Ophthalmological Society, 43(11), 2280-2287, 2002.
  6. Cooper, A.M. and Michels, R., Diagnostic and statistical manual of mental disorders. American Journal of Psychiatry, 138, 128-129, 1981. https://doi.org/10.1176/ajp.138.1.128
  7. Gilleade, K., Dix, A. and Allanson, J., Affective videogames and modes of affective gaming: assist me, challenge me, emote me. In: DiGRA: Changing Views - Worlds in Play, 2005.
  8. Glasser, W., Positive addiction, First (ed). Harper Colophon Books, Harper Perennial, 1985.
  9. Goldberg, J.H. and Kotval, X.P., Computer interface evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics, 24(6), 631-645, 1999. https://doi.org/10.1016/S0169-8141(98)00068-7
  10. Graham, F.K., Attention: The heartbeat, the blink, and the brain. Attention and information processing in infants and adults: Perspectives from human and animal research, Hillsdale, N.J.: Erlbaum Associates, 1992.
  11. Grabe, M.E., Lang, A., Zhou, S. and Bolls, P.D., Cognitive Access to Negatively Arousing News an Experimental Investigation of the Knowledge Gap. Communication Research, 27(1), 3-26, 2000. https://doi.org/10.1177/009365000027001001
  12. Hackman, B. and Guilford, J., A study of the 'visual fixation' method of measuring attention value. Journal of Applied Psychology, 20-44, 1936.
  13. Hoffman, D.L. and Novak, T.P., Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60(3), 50-68, 1996. https://doi.org/10.2307/1251841
  14. Hopkins, R. and Fletcher, J.E., Electrodermal measurement: Particularly effective for forecasting message influence on sales appeal, in: Lang, A. Eds. Measuring Psychological Responses to Media Messages. England; 113-132, 1994.
  15. Jackson, S.A. and Marsh, H.W., Development and validation of a scale to measure optimal experience: The Flow State Scale. Journal of Sport and Exercise Psychology, 18(1), 17-35, 1996. https://doi.org/10.1123/jsep.18.1.17
  16. Jancke, L., Vogt, J., Musial, F., Lutz, K. and Kalveram, K.T., Facial EMG responses to auditory stimuli. International Journal of Psychophysiology, 22(1-2), 85-96, 1996. https://doi.org/10.1016/0167-8760(96)00013-X
  17. Kim, J.S., Cho, K.J. and Song, J.S., Influences of computer works on blink rate and ocular dryness in adolescents. Journal of Korean Ophthalmological Society, 48(11), 1466-1472, 2007. https://doi.org/10.3341/jkos.2007.48.11.1466
  18. Krugman, H.E., Brain wave measures of media involvement. Journal of Advertising Research, 11(1), 3-9, 1971.
  19. Lang, A., Involuntary attention and physiological arousal evoked by structural features and emotional content in TV commercials. Communication Research, 17(3), 275-299, 1990. https://doi.org/10.1177/009365090017003001
  20. Lee, S.H., Kim, K.H., Ahn, J.A. and Jeong, I.H., Analysis of advertising research studies using eye-tracking method in Korea and USA. Journal of Social Sciences, 23(2), 47-73, 2012.
  21. Lee, O.K., The research on users' experience using 3D image by medium. Journal of Korea Multimedia Society, 11, 330-371, 2011.
  22. Nakamori, K., Odawara, M., Nakajima, T., Mizutani, T. and Tsubota, K., Blinking is controlled primarily by ocular surface conditions. American Journal of Ophthalmology, 124(1), 24-30, 1997. https://doi.org/10.1016/S0002-9394(14)71639-3
  23. Novak, T.P., Hoffman, D.L. and Yung, Y.F., Modeling the structure of the flow experience among web users. In the INFORMS Mark Sci and the Internet Mini-Conference, 1998.
  24. Novak, T.P., Hoffman, D.L. and Yung, Y.F., Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42, 2000. https://doi.org/10.1287/mksc.19.1.22.15184
  25. Palmer, J., Ames, C.T. and Lindsey, D.T., Measuring the effect of attention on simple visual search. Journal of Experimental Psychology: Human Perception Performance, 19(1), 108, 1993. https://doi.org/10.1037/0096-1523.19.1.108
  26. Palomba, D., Sarlo, M., Angrilli, A., Mini, A. and Stegagno, L., Cardiac responses associated with affective processing of unpleasant film stimuli. International Journal of Psychophysiology, 36(1), 45-57, 2000. https://doi.org/10.1016/S0167-8760(99)00099-9
  27. Ravaja, N., Contributions of psychophysiology to media research: Review and recommendations. Media Psychology, 6(2), 193-235, 2004. https://doi.org/10.1207/s1532785xmep0602_4
  28. Rossiter, J.R., Silberstein, R., Harris, P. and Nield, G., Brain-imaging detection of visual scene encoding in long-term memory for TV commercials. Journal of Adverting Research, 41(2), 13-22, 2001. https://doi.org/10.2501/JAR-41-2-13-21
  29. Ryan, R.M., Rigby, C.S. and Przybylski, A., The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 30(4), 344-360, 2006. https://doi.org/10.1007/s11031-006-9051-8
  30. Sahin, H. and Robinson, J.P., Beyond the realm of necessity: Television and the colonization of leisure. Media, Culture and Society, 3, 85-95, 1981. https://doi.org/10.1177/016344378100300107
  31. Stern, J.A., Boyer, D. and Schroeder, D., Blink rate: a possible measure of fatigue. Human Factors, 36(2), 285-297, 1994. https://doi.org/10.1177/001872089403600209
  32. Thorson, E. and Lang, A., The effects of television video graphics and lecture familiarity on adult cardiac orienting responses and memory. Communication Research, 19(3), 346-369, 1992. https://doi.org/10.1177/009365092019003003
  33. Wedel, M. and Pieters, R., Eye tracking for visual marketing. Foundations and $Trends^{(R)}$ in Marketing, 1(4), 231-320, 2008.
  34. Wiebe, E.N., Lamb, A., Hardy, M. and Sharek, D., Measuring engagement in video game-based environments: Investigation of the user engagement scale. Computers in Human Behavior, 32:123-132, 2014. https://doi.org/10.1016/j.chb.2013.12.001