Abstract
The current study aims to measure the goal orientations motivation in different scenes of a video-game. The evaluation of player experience was done with both subjective measures through questionnaire and objective measures through brain wave activity (electroencephalography - EEG). We used GameFlow questionnaire to characterize the player’s mastery goal in playing video game (Master or Performant). In terms of brain activity, we used the Frontal alpha asymmetry (FAA) to assess the player approach/withdrawal behavior within a game scene. Using game scene’s design goal (defined by OCC variables) and player personality traits (using Big Five questionnaire), the resulting machine learning model predicts players’ motivational goal orientations in order to adapt the game. In this study, we address player’s motivation in game scenes by analyzing player’s profile, his situation in scene and affective physiological data.
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References
Driver, M.: Coaching Positively: Lessons For Coaches From Positive Psychology: Lessons for Coaches from Positive Psychology. McGraw-Hill Education, UK (2011)
Elliot, A.J., Covington, M.V.: Approach and avoidance motivation. Educational Psychology Review 13(2), 73–92 (2001)
Cosmides, L., Tooby, J.: Reasoning and natural selection. Encyclopedia of Human Biology 6, 493–503 (1991)
Davidson, R.J.: The neural circuitry of emotion and affective style: Prefrontal cortex and amygdala contributions. Social Science Information 40(1), 11–37 (2001)
Phan, K.L., Wager, T., Taylor, S.F., Liberzon, I.: Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage 16(2), 331–348 (2002)
Davidson, R.J.: What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research. Biological Psychology 67(1), 219–234 (2004)
Amodio, D.M., Master, S.L., Yee, C.M., Taylor, S.E.: Neurocognitive components of the behavioral inhibition and activation systems: Implications for theories of self-regulation. Psychophysiology 45(1), 11–19 (2008)
Horan, W.P., Wynn, J.K., Mathis, I., Miller, G.A., Green, M.F.: Approach and withdrawal motivation in schizophrenia: an examination of frontal brain asymmetric activity. PLoS One 9(10), e110007 (2014)
Derbali, L., Ghali, R., Frasson, C.: Assessing Motivational Strategies in Serious Games Using Hidden Markov Models (2013)
Derbali, L., Frasson, C.: Prediction of players motivational states using electrophysiological measures during serious game play. IEEE (2010)
Nakamura, J., Csikszentmihalyi, M.: The concept of flow. In: Handbook of positive psychology, pp. 89–105 (2002)
Jennett, C., Cox, A.L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., Walton, A.: Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies 66(9), 641–661 (2008)
Chanel, G., Rebetez, C., Bétrancourt, M., Pun, T.: Boredom, engagement and anxiety as indicators for adaptation to difficulty in games. ACM (2008)
Elliot, A.J., Murayama, K.: On the measurement of achievement goals: Critique, illustration, and application. Journal of Educational Psychology 100(3), 613 (2008)
Elliot, A.J., McGregor, H.A., Gable, S.: Achievement goals, study strategies, and exam performance: A mediational analysis. Journal of Educational Psychology 91(3), 549 (1999)
Wolters, C.A.: Advancing Achievement Goal Theory: Using Goal Structures and Goal Orientations to Predict Students’ Motivation, Cognition, and Achievement. Journal of Educational Psychology 96(2), 236 (2004)
Ortony, A., Clore, G.L., Collins, A.: The cognitive structure of emotions. Cambridge university press (1990)
Vallerand, R.J., Thill, E.E.: Introduction au concept de motivation. Introduction à la psychologie de la motivation, pp. 3–39 (1993)
Maslow, A.H.: A theory of human motivation. Psychological Review 50(4), 370 (1943)
Ryan, R.M., Deci, E.L.: Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology 25(1), 54–67 (2000)
Hull, C.L.: The conflicting psychologies of learning—a way out. Psychological Review 42(6), 491 (1935)
Diamond, D.M., Campbell, A.M., Park, C.R., Halonen, J., Zoladz, P.R.: The temporal dynamics model of emotional memory processing: a synthesis on the neurobiological basis of stress-induced amnesia, flashbulb and traumatic memories, and the Yerkes-Dodson law. Neural plasticity 2007 (2007)
Yerkes, R.M., Dodson, J.D.: The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology and Psychology 18(5), 459–482 (1908)
Teigen, K.H.: Yerkes-Dodson: A law for all seasons. Theory & Psychology 4(4), 525–547 (1994)
Murray, H.A.: Explorations in personality (1938)
McClelland, D.C., Atkinson, J.W., Clark, R.A., Lowell, E.L.: The achievement motive (1976)
McClelland, D.C.: Motives, personality, and society: Selected papers. Praeger Publishers (1984)
Conroy, D.E.: Progress in the development of a multidimensional measure of fear of failure: The Performance Failure Appraisal Inventory (PFAI). Anxiety, Stress and Coping 14(4), 431–452 (2001)
Elliott, E.S., Dweck, C.S.: Goals: An approach to motivation and achievement. Journal of Personality and Social Psychology 54(1), 5 (1988)
Elliot, A.J.: Approach and avoidance motivation and achievement goals. Educational Psychologist 34(3), 169–189 (1999)
Malone, T.W.: Toward a theory of intrinsically motivating instruction*. Cognitive Science 5(4), 333–369 (1981)
Malone, T.W., Lepper, M.R.: Making learning fun: A taxonomy of intrinsic motivations for learning. Aptitude, Learning, and Instruction 3(1987), 223–253 (1987)
Lepper, M.R., Malone, T.W.: Intrinsic motivation and instructional effectiveness in computer-based education. Aptitude, Learning, and Instruction 3, 255–286 (1987)
Przybylski, A.K., Rigby, C.S., Ryan, R.M.: A motivational model of video game engagement. Review of General Psychology 14(2), 154 (2010)
Ryan, R.M., Rigby, C.S., Przybylski, A.: The motivational pull of video games: A self-determination theory approach. Motivation and Emotion 30(4), 344–360 (2006)
Flow, C.: The psychology of optimal experience. Harper & Row, New York (1990)
Koster, R.: Theory of fun for game design. O’Reilly Media, Inc. (2013)
Yee, N.: Motivations for play in online games. CyberPsychology & Behavior 9(6), 772–775 (2006)
Goldberg, L.R.: The development of markers for the Big-Five factor structure. Psychological Assessment 4(1), 26 (1992)
Sweetser, P., Johnson, D.M., Wyeth, P.: Revisiting the GameFlow model with detailed heuristics. Journal: Creative Technologies 3 (2012)
Sweetser, P., Wyeth, P.: GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment (CIE) 3(3), 3 (2005)
Coan, J.A., Allen, J.J.: Frontal EEG asymmetry and the behavioral activation and inhibition systems. Psychophysiology 40(1), 106–114 (2003)
Hagemann, D., Naumann, E., Thayer, J.F., Bartussek, D.: Does resting electroencephalograph asymmetry reflect a trait? an application of latent state-trait theory. Journal of Personality and Social Psychology 82(4), 619 (2002)
Harmon-Jones, E., Gable, P.A., Peterson, C.K.: The role of asymmetric frontal cortical activity in emotion-related phenomena: A review and update. Biological Psychology 84(3), 451–462 (2010)
Tomarken, A.J., Davidson, R.J., Henriques, J.B.: Resting frontal brain asymmetry predicts affective responses to films. Journal of Personality and Social Psychology 59(4), 791 (1990)
Kaplan, A., Maehr, M.L.: The contributions and prospects of goal orientation theory. Educational Psychology Review 19(2), 141–184 (2007)
DeShon, R.P., Gillespie, J.Z.: A motivated action theory account of goal orientation. Journal of Applied Psychology 90(6), 1096 (2005)
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Benlamine, M.S., Dombouya, R., Dufresne, A., Frasson, C. (2017). Game Experience and Brain Based Assessment of Motivational Goal Orientations in Video Games. In: Frasson, C., Kostopoulos, G. (eds) Brain Function Assessment in Learning. BFAL 2017. Lecture Notes in Computer Science(), vol 10512. Springer, Cham. https://doi.org/10.1007/978-3-319-67615-9_11
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