Skip to main content
Have a personal or library account? Click to login
Adaptation in Affective Video Games: A Literature Review Cover

Adaptation in Affective Video Games: A Literature Review

Cybernetics and Information Technologies
Volume 16 (2016): Issue 3 (September 2016)
By:   
Open Access
|Aug 2016
References

References

  1. 1. Picard, R. W. Affective Computing. MIT Media Laboratory Perceptual Computing Section, Technical Report No 321, 1995. http://affect.media.mit.edu/pdfs/95.picard.pdf
    Search in Google Scholar
  2. 2. Watson, D., L. Clark, A. Tellegen. Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scales. - J. of Pers. and Social Psych., Vol. 47, 1988, pp. 1063-1070.
    Open DOISearch in Google Scholar
  3. 3. Schwartz, M. S. Biofeedback: A Practioner’s Guide. New York, Guilford Press, 1995.
    Search in Google Scholar
  4. 4. Bersak, D., G. Mc Darby, N. Augenblick, P. Mc Darby, D. Mc Donnell, B. Mc Donald, R. Karkun. Intelligent Biofeedback Using an Immersive Competitive Environment. - In: Proc. of Designing Ubiquitous Computing Games Workshop, Ubi Comp, Atlanta, USA, September, 2001.
    Search in Google Scholar
  5. 5. Pope, A. T., E. H. Bogart, D. S. Bartolome. Biocybernetic System Evaluates Indices of Operator Engagement in Automated Task. - Biological Psychology, Vol. 40, 1995, pp. 187-195.
    Open DOISearch in Google Scholar
  6. 6. Coles, M., M. Rugg. Event-Related Brain Potentials: An Introduction. - Electrophysiology of Mind, Oxford Scholarship Online Monographs, 1996, pp. 1-27, http://l3d.cs.colorado.edu/~ctg/classes/lib/cogsci/Rugg-ColesChp1.pdf
    Open DOISearch in Google Scholar
  7. 7. Mauss, I. B., M. D. Robinson. Measures of Emotion: A Review. - Cognition and Emotion, Vol. 23, 2009, No 2, pp. 209-237.
    Open DOISearch in Google Scholar
  8. 8. Kreibig, S. D. Autonomic Nervous System Activity in Emotion: A Review. - Biological Psychology, Vol. 84, 2010, pp. 394-421.
    Open DOISearch in Google Scholar
  9. 9. Liu, C., P. Agrawal, N. Sarkar, S. Chen. Dynamic Difficulty Adjustment in Computer Games through Real-Time Anxiety-Based Affective Feedback. - Int. J. Hum. Comput. Interact., Vol. 25, 2009, pp. 506-529.
    Open DOISearch in Google Scholar
  10. 10. Dekker, A., E. Champion. Please Biofeed the Zombies: Enhancing the Gameplay and Display ofa Horror Game Using Biofeedback. - In: Proc. of Di GRA 2007, Tokyo, Japan, 2007, pp. 550-558.
    Search in Google Scholar
  11. 11. Hudlicka, E. Affective Computing for Game Design. - In: Proc. of 4th Int. North American Conf. on Intelligent Games and Simulation (GAMEON-NA), Montreal, Canada, 2008, pp. 5-12.
    Search in Google Scholar
  12. 12. Giggins, O. M., U. M. Persson, B. Caulfield. Biofeedback in Rehabilitation. - J. of Neuroengineering and Rehabilitation, Vol. 10, 2013, No 60. DOI: 10.1186/1743-0003-10-60.
    Open DOISearch in Google Scholar
  13. 13. Gilleade, K., A. Dix, J. Allanson. Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me. - In: Proc. of Di GRA Conf.: Changing Views - Worlds in Play, 2005.
    Search in Google Scholar
  14. 14. Sweetser, P., P. Wyeth. Game Flow: A Model for Evaluating Player Enjoyment in Games. - Computers In Entertainment (CIE), Vol. 3, 2005, No 3, pp. 3-3.
    Open DOISearch in Google Scholar
  15. 15. Kivikangas, J. M., G. Chanel, B. Cowley, I. Ekman, M. Salminen, S. Järvelä, N. Ravaja. A Review of the Use of Psychophysiological Methods in Game Research. - Journal of Gaming & Virtual Worlds, Vol. 3, 2011, No 3, pp. 181-199.
    Open DOISearch in Google Scholar
  16. 16. Yannakakis, G. N., J. Hallam. Entertainment Modeling through Physiology in Physical Play. - Int. Journal of Human-Computer Studies, Vol. 66, 2008, No 10, pp. 741-755.
    Open DOISearch in Google Scholar
  17. 17. Ambinder, M. Biofeedback in Gameplay: How Valve Measures Physiology to Enhance Gaming Experience. Valve Software, 2011. http://www.valvesoftware.com/publications/2011/ValveBiofeedback-Ambinder.pdf
    Search in Google Scholar
  18. 18. Höök, K. Affective Loop Experiences-What Are They? - Berlin, Heidelberg, Persuasive Technology, Springer, 2008, pp. 1-12.
    Open DOISearch in Google Scholar
  19. 19. Yannakakis, G. N., J. Togelius. Experience-Driven Procedural Content Generation. - IEEE Transactions on Affective Computing, Vol. 2, 2011, No 3, pp. 147-161.
    Open DOISearch in Google Scholar
  20. 20. Fairclough, S., K. Gilleade. Construction of the Biocybernetic Loop: A Case Study. - In: Proc. of 14th ACM Int. Conf. on Multimodal Interaction, ACM, October 2012, pp. 571-578.
    Open DOISearch in Google Scholar
  21. 21. Murphy, C., D. Chertoff, M. Guerrero, K. Moffitt. Design Better Games: Flow, Motivation, and Fun. - In: Design and Development of Training Games: Practical Guidelines froma Multidisciplinary Perspective (Chapter 5). Cambridge University Press, 2013, p.1773.
    Search in Google Scholar
  22. 22. Sweetser, P., D. M. Johnson, P. Wyeth. Revisiting the Game Flow Model with Detailed Heuristics. - Creative Technologies, 2012, No 3.
    Search in Google Scholar
  23. 23. Rani, P., N. Sarkar, C. Liu. Maintaining Optimal Challenge in Computer Games through Real-Time Physiological Feedback. - In: Proc. of 11th Int. Conf. on Human Comp. Interact., 2005, pp. 184-192.
    Search in Google Scholar
  24. 24. Grigore, O., I. Gavat, M. Cotescu, C. Grigore. Stochastic Algorithms for Adaptive Lighting Control Using Psycho-Physiological Features. - Int. J. of Biology and Biomedical Eng., Vol. 2, 2008, pp. 9-18.
    Search in Google Scholar
  25. 25. Bakkes, S., C. T. Tan, Y. Pisan. Personalised Gaming: A Motivation and Overview of Literature. - In: Proc. of 8th Australas. Conf. on Interact. Entertainm.: Playing the System, ACM, 2012, p. 4.
    Search in Google Scholar
  26. 26. Kickmeier-Rust, M. D., D. Albert. Educationally Adaptive: Balancing Serious Games. - Int. Journal of Computer Science in Sport, Vol. 11, 2012, No 1, pp. 1-10.
    Search in Google Scholar
  27. 27. Chang, D. M. J. Dynamic Difficulty Adjustment in Computer Games. - In: Proc. of 11th Ann. Interact. Multimedia Systems Conf., Univ. of Southampton, UK, 2013. http://mms.ecs.soton.ac.uk/2013/papers/dmjc1g10_23990287_finalpaper.pdf
    Search in Google Scholar
  28. 28. Fairclough, S. H. Fundamentals of Physiological Computing. - Interacting with Computers, Vol. 21, 2009, No 1, pp. 133-145.
    Open DOISearch in Google Scholar
  29. 29. Novak, D., M. Mihelj, M. Munih. A Survey of Methods for Data Fusion and System Adaptation Using Autonomic Nervous System Responses in Physiological Computing. - Interacting with Computers, Vol. 24, 2012, pp. 153-172.
    Open DOISearch in Google Scholar
  30. 30. Christy, T., L. I. Kuncheva. Technological Advancements in Affective Gaming: A Historical Survey. - GSTF Journal on Computing, Vol. 3, 2014, No 4.
    Open DOISearch in Google Scholar
  31. 31. Rouse, R. Games on the Verge of a Nervous Breakdown: Emotional Content in Computer Games. - ACM SIGGRAPH Computer Graphics, Vol. 35, 2001, No 1, pp. 6-10.
    Open DOISearch in Google Scholar
  32. 32. Nacke, L. E., M. Kalyn, C. Lough, R. L. Mandryk. Biofeedback Game Design: Using Direct and Indirect Physiological Control to Enhance Game Interaction. - In: Proc. of SIGCHI Conf. on Human Factors in Computing Systems, ACM, 2011, pp. 103-112.
    Search in Google Scholar
  33. 33. Kuikkaniemi, K., T. Laitinen, M. Turpeine n, T. Saari, I. Kosunen, N. Ravaja. The Influence of Implicit and Explicit Biofeedback in First-Person Shooter Games. - In: Proc. of SIGCHI Conf. on Human Factors in Computing Systems, 2010, pp. 859-868.
    Open DOISearch in Google Scholar
  34. 34. Parnandi, A., R. Gutierrez-Osuna. A Comparative Study of Game Mechanics and Control Laws for an Adaptive Physiological Game. - J. on Multimodal User Interfaces, 2014, pp. 1-12.
    Open DOISearch in Google Scholar
  35. 35. Lindley, C. A., C. C. Sennersten. Game Play Schemas: from Player Analysis to Adaptive Game Mechanics. - In: Proc. of Int. Conf. on Game Research and Development, 2006, pp. 47-53.
    Search in Google Scholar
  36. 36. Gilleade, K. M., A. Dix. Using Frustration in the Design of Adaptive Videogames. - In: Proc. of ACM SIGCHI Int. Conf. on Advances in Computer Entertainment Technology, 2004, pp. 228-232.
    Open DOISearch in Google Scholar
  37. 37. Tremblay, J., C. Verbrugge. Adaptive Companions in FPS Games. - FDG, Vol. 13, 2013, pp. 229-236.
    Search in Google Scholar
  38. 38. Chen, J. Flow in Games (and Everything Else). - Communications of the ACM, Vol. 50, 2007, No 4, pp. 31-34.
    Open DOISearch in Google Scholar
  39. 39. Garner, T. A. Game Sound from Behind the Sofa: An Exploration into the Fear Potential of Sound&Psychophysiological Approaches to Audio-Centric, Adaptive Gameplay. Ph D Thesis, Aalborg University, 2013.
    Search in Google Scholar
  40. 40. Hunicke, R., V. Chapman. AI for Dynamic Difficulty Adjustment in Games. - In: Proc. of Challenges in Game Artificial Intelligence AAAI Workshop, Vol. 2, 2004, p. 1.
    Search in Google Scholar
  41. 41. Koster, R. A Theory of Fun for Game Design. Paraglyph Press, 2005.
    Search in Google Scholar
  42. 42. Yannakakis, G. N., A. Paiva. Emotion in Games. - Handbook on Affective Computing, Vol. 20, 2013.
    Search in Google Scholar
  43. 43. Brisson, A., G. Pereira, R. Prada, A. Paiva, S. Louchart, N. Suttie, T. Lim, R. Lopes, R. Bidarra, F. Bellotti, M. Kravcik, M. Oliveira. Artificial Intelligence and Personalization Opportunities for Serious Games. - In: Proc. of 8th AIIDE Conf., 2012, pp. 51-57.
    Search in Google Scholar
  44. 44. Bakkes, S., P. Spronck, J. Van Den Herik. Rapid and Reliable Adaptation of Video Game AI. - IEEE Transactions on Computational Intelligence and AIin Games, Vol. 1, 2009, No 2, pp. 93-104.
    Open DOISearch in Google Scholar
  45. 45. Hudlicka, E. Affective Game Engines: Motivation and Requirements. - In: Proc. of 4th Int. Conf. on Foundations of Digital Games, ACM, 2009, pp. 299-306.
    Search in Google Scholar
  46. 46. Ekman, P., E. R. Sorenson, W. V. Friesen. Pan-Cultural Elements in Facial Displays of Emotion. - Science, Vol. 164, 1969, No 3875, pp. 86-88. DOI:10.1126/science.164.3875.86.
    Open DOISearch in Google Scholar
  47. 47. Hupont, I., S. Baldassarri, E. Cerezo. Facial Emotional Classification: Froma Discrete Perspective toa Continuous Emotional Space. - Pattern Analysis and Applications, Vol. 16, 2013, Issue 1, pp. 41-54. DOI: 10.1007/s10044-012-0286-6.
    Open DOISearch in Google Scholar
  48. 48. Tan, C. T., S. Bakkes, Y. Pisan. Inferring Player Experiences Using Facial Expressions Analysis. - In: Proc. of Conf. on Interactive Entertainment, ACM, New York, USA, 2014, pp. 1-8.
    Open DOISearch in Google Scholar
  49. 49. Kaplan, S., R. S. Dalal, J. N. Luchman. Measurement of Emotions. Research Methods in Occupational Health Psychology. New York, Routledge, 2013.
    Search in Google Scholar
  50. 50. Mc Crae, R. R., P. C. Costa. Validation of the Five-Factor Model Across Instruments and Observers. - Journal of Personality and Social Psychology, Vol. 52, 1987, pp. 81-90.
    Open DOISearch in Google Scholar
  51. 51. Russell, J. A. A Circumplex Model of Affect. - Journal of Personality and Social Psychology, Vol. 39, 1980, No 6, pp. 1161-1178.
    Open DOISearch in Google Scholar
  52. 52. Mendl, M., O. H. P. Burman, E. S. Paul. An Integrative and Functional Framework for the Study of Animal Emotion and Mood. - In: Proc. Biol. Sci., Vol. 277, 2010, pp. 2895-2904.
    Open DOISearch in Google Scholar
  53. 53. Trimmer, P. C., E. S. Paul, M. T. Mendl, J. M. Mc Namara, A. I. Houston. On the Evolution and Optimality of Mood States. - Behav. Sci., Vol. 3, 2013, pp. 501-521.
    Open DOISearch in Google Scholar
  54. 54. Mehrabian, A., J. A. Russell. An Approach to Environmental Psychology. Cambridge, MA, USA; London, UK: MIT Press, 1974.
    Search in Google Scholar
  55. 55. Gunes, H., B. Schuller, M. Pantic, R. Cowie. Emotion Representation, Analysis and Synthesis in Continuous Space: A Survey. - In: Proc. of IEEE Int. Conf. FG’2011, 2011, pp. 827-834.
    Search in Google Scholar
  56. 56. Csikszentmihalyi, M. Flow: The Psychology of Optimal Experience. London, Harper Perennial, 1990.
    Search in Google Scholar
  57. 57. Csikszentmihalyi, M. Finding Flow: The Psychology of Engagement with Everyday Life. New York, Basic Books, 1997.
    Search in Google Scholar
  58. 58. Wu, M. Gamification 101: The Psychology of Motivation, Science of Social Blog. Lithium, 2012. https://community.lithium.com/t5/Science-of-Social-blog/Gamification-101-The-Psychology-of-Motivation/ba-p/21864
    Search in Google Scholar
  59. 59. Brown, E., P. Cairns. A Grounded Investigation of Game Immersion. - In: CHI’04 Extended Abstracts on Human Factors in Computing Systems, ACM, 2004, pp. 1297-1300.
    Open DOISearch in Google Scholar
  60. 60. Nacke, L., C. Lindley. Flow and Immersion in First-Person Shooters: Measuring the Player’s Gameplay Experience. - In: Proc. of Future Play, 3-5 November 2008, Toronto, Canada, 2008, pp. 81-88.
    Search in Google Scholar
  61. 61. Ryan, R. M., C. S. Rigby, A. Przybylski. The Motivational Pull of Videogames: A Self-Determination Approach. - Motivation and Emotion, Vol. 30, 2006, pp. 347-363.
    Open DOISearch in Google Scholar
  62. 62. Bradley, M. M., P. J. Lan. Measuring Emotion: The Self-Assessment Manikin and the Semantic Differential. - Journal of Behavior Therapy and Experimental Psychiatry, Vol. 25, 1994, pp. 49-59.
    Open DOISearch in Google Scholar
  63. 63. Tijs, T., D. Brokken, W. Ijsselsteijn. Creating an Emotionally Adaptive Game. - In: Proc. of ICEC’2008, LNCS 5309, Berlin, Heidelberg, Springer, 2008, pp. 122-133.
    Open DOISearch in Google Scholar
  64. 64. Broekens, J., W. P. Brinkman. Affect Button: A Method for Reliable and Valid Affective Self-Report. - Int. Journal of Human-Computer Studies, Vol. 71, 2013, No 6, pp. 641-667.
    Open DOISearch in Google Scholar
  65. 65. Partala, T., A. Kallinen. Understanding the Most Satisfying and Unsatisfying User Experiences: Emotions, Psychological Needs, and Context. - Interacting with Computers, Vol. 24, January 2012, Issue 1, pp. 25-34.
    Open DOISearch in Google Scholar
  66. 66. Brockmyer, J. H., C. M. Fox, K. A. Curtiss, E. Mc Broom, K. M. Burkhart, J. N. Pidruzny. The Development of the Game Engagement Questionnaire: A Measure of Engagement in Video Game-Playing. - J. of Experimental Social Psychology, Vol. 45, 2009, No 4, pp. 624-634.
    Open DOISearch in Google Scholar
  67. 67. Matthews, G., D. M. Jones, A. G. Chamberlain. Refining the Measurement of Mood: The UWIST Mood Adjective Checklist. - British Journal of Psychology, Vol. 81, 1990, pp. 17- 42.
    Open DOISearch in Google Scholar
  68. 68. Bartlett, M. S., J. C. Hager, P. Ekman, T. J. Sejnowski. Measuring Facial Expressions by Computer Image Analysis. - Psychophysiology, Vol. 36, March 1999, No 2, pp. 253-263.
    Open DOISearch in Google Scholar
  69. 69. Xu, Y., A. K. Ro y-Chowdhury. Integrating Motion, Illumination and Structure in Video Sequences with Applications in Illumination-Invariant Tracking. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, May 2007, No 5, pp. 793-806.
    Open DOISearch in Google Scholar
  70. 70. Ekman, P., W. V. Friesen, J. C. Hager. Facial Action Coding System. - A Human Face, Vol. 48, 2002, pp. 4-5.
    Search in Google Scholar
  71. 71. Jack, R. E. Culture and Facial Expressions of Emotion. - Visual Cognition, Vol. 21, 2013, No 9-10, pp. 1248-1286. DOI:10.1080/13506285.2013.835367.
    Open DOISearch in Google Scholar
  72. 72. Tang, H., T. Huang. 3D Facial Expression Recognition Based on Automatically Selected Features. - In: Proc of IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2008, pp. 1-8.
    Search in Google Scholar
  73. 73. Blom, P. M., S. Bakkes, C. T. Tan, S. Whiteson, D. Roijers, R. Valenti, T. Gevers. Towards Personalised Gaming via Facial Expression Recognition. - In: Proc. of 10th Ann. AAAI Conf. on AIIDE, 2014, pp. 30-36.
    Search in Google Scholar
  74. 74. Jack, R. E., O. G. Garrod, H. Yu, R. Caldara, P. G. Schyns. Facial Expressions of Emotion Are Not Culturally Universal. - Proc. of Nat. Academy of Sciences, Vol. 109, 2012, No 19, pp. 7241-7244.
    Open DOISearch in Google Scholar
  75. 75. Picard, R. W., E. Vyzas, J. Healey. Toward Machine Emotional Intelligence: Analysis of Affective Physiological State. - IEEE Trans. Pattern Anal. Mach. Intell., Vol. 23, 2001, No 10, pp. 1175-1191.
    Open DOISearch in Google Scholar
  76. 76. Mc Craty, R., F. Shaffe r. Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-Regulatory Capacity, and Health Risk. - Glob. Adv. Health Med., Vol. 4, January 2015, No 1, pp. 46-61. DOI: 10.7453/gahmj.2014.073.
    Open DOISearch in Google Scholar
  77. 77. Berntson, G. G., J. T. Bigger, D. L. Eckberg, P. Grossman, P. G. Kaufmann, M. Malik, H. N. Nagaraja, S. W. Porges, J. P. Saul, P. Stone, M. Van Der Molen. Heart Rate Variability: Origins, Methods, and Interpretive Caveats. - Psychophysiol., Vol. 34, 1997, pp. 623-648.
    Open DOISearch in Google Scholar
  78. 78. Chittaro, L., R. Sioni. Affective Computing vs. Affective Placebo: Study ofa Biofeedback-Controlled Game for Relaxation Training. - Int. J. of Human-Computer Studies, Vol. 72, 2014, Issue 8-9, pp. 663-673. DOI:10.1016/j.ijhcs.2014.01.007.
    Open DOISearch in Google Scholar
  79. 79. Boucsein, W. Electrodermal Activity. Second Ed. New York, USA, Springer, 2006.
    Search in Google Scholar
  80. 80. Broek, E. L. Van Der, J. H. Janssen, J. H. Westerink, J. A. Healey. Prerequisites for Affective Signal Processing (ASP). Technical Report, 2009.
    Search in Google Scholar
  81. 81. Merletti, R., P. A. Parker. Electromyography: Physiology, Engineering, and Non-Invasive Applications. John Wiley & Sons, 2004.
    Open DOISearch in Google Scholar
  82. 82. Healey, J. A., R. W. Picard. Startle Cam: A Cybernetic Wearable Camera. - In: Proc. of ISWC 1998, IEEE Computer Society, Washington, DC, USA, 1998, pp. 1-8.
    Search in Google Scholar
  83. 83. Chanel, G., C. Rebetez, M. Bétrancourt, T. Pun. Boredom, Engagement and Anxiety as Indicators for Adaptation to Difficulty in Games. - In: Proc. of 12th Int. Conf. on Entertainment and Media in the Ubiquitous Era, ACM, 2008, pp. 13-17.
    Open DOISearch in Google Scholar
  84. 84. Liao, L. D., C. Y. Chen, I. J. Wang, S. F. Chen, S. Y. Li, B. W. Chen, J. Y. Chang, C. T. Lin. Gaming Control Usinga Wearable and Wireless EEG-Based Brain-Computer Interface Device with Novel Dry Foam-Based Sensors. - J. of Neuroeng. and Rehabilitation, Vol. 9, 2012, No 1, p. 5.
    Open DOISearch in Google Scholar
  85. 85. Dale, A. M., M. I. Sereno. Improved Localization of Cortical Activity by Combining EEGand MEGwith MRI Cortical Surface Reconstruction: A Linear Approach. - J. of Cognitive Neuroscience, Vol. 5, 1993, No 2, pp. 162-176.
    Open DOISearch in Google Scholar
  86. 86. Ayaz, H., P. A. Shewokis, S. Bunce, M. Schultheis, B. Onaral. Assessment of Cognitive Neural Correlates fora Functional Near Infrared-Based Brain Computer Interface System. - In: Augmented Cognition, HCII 2009, Berlin, Heidelberg, Springer, LNAI 5638, 2009, pp. 699-708.
    Open DOISearch in Google Scholar
  87. 87. Tognetti, S., M. Garbarino, A. Bonarini, M. Matteucci. Modeling Enjoyment Preference from Physiological Responses ina Car Racing Game. - In: Proc. of IEEE Symp. on Computational Intelligence and Games (CIG’2010), 2010, pp. 321-328.
    Open DOISearch in Google Scholar
  88. 88. Nogueira, P. A., R. Rodrigues, E. Oliveira. Real-Time Psychophysiological Emotional State Estimation in Digital Gameplay Scenarios. - Engineering Applications of Neural Networks, Springer Berlin Heidelberg, 2013, pp. 243-252.
    Open DOISearch in Google Scholar
  89. 89. Mandryk, R. L., M. S. Atkins. A Fuzzy Physiological Approach for Continuously Modeling Emotion During Interaction with Play Technologies. - Int. J. Hum. Comput. Stud., Vol. 65, 2007, No 4, pp. 329-347.
    Open DOISearch in Google Scholar
  90. 90. Dichev, C., D. Dicheva, G. Agre, G. Angelova. Trends and Opportunities in Computer Science OER Development. - Cybernetics and Information Technologies, Vol. 15, 2015, No 3, pp. 114-126.
    Open DOISearch in Google Scholar
  91. 91. Torres, V. P. Development of Biofeedback Mechanisms ina Procedural Environment Using Biometric Sensors. MSc Thesis, Univ. of Porto, Portugal, 2013.
    Search in Google Scholar
  92. 92. Toups, Z. O., R. Graeber, A. Kerne, L. Tassinary, S. Berry, K. Overby, M. Johnson. A Design for Using Physiological Signals to Affect Team Game Play. - Foundations of Augmented Cognition, 2006, pp. 134-139.
    Search in Google Scholar
  93. 93. Oum, K., H. Ayaz, P. Shewokis, P. Diefenbach. Mind Tactics: A Brain Computer Interface Gaming Platform. - In: Proc. of ICE-GIC, Int. IEEE Consumer Electronics Society’s, December 2010, pp. 1-5.
    Open DOISearch in Google Scholar
  94. 94. Emmen, D. H. G., G. Lampropoulos. Bio Pong: Adaptive Gaming Using Biofeedback. - In: Proc. of Chi Sparks 2014 Conf., Hague, Netherlands, 3 April 2014, pp. 100-103.
    Search in Google Scholar
  95. 95. Braithwaite, J. J., D. G. Watson, R. Jones, M. Rowe. A Guide for Analysing EDA&Skin Conductance Responses for Psychological Experiments. - Psychophys., Vol. 49, 2013, pp. 1017-1034.
    Open DOISearch in Google Scholar
  96. 96. Tijs, T. J., D. Brokken, W. A. I Jsselsteijn. Dynamic Game Balancing by Recognizing Affect. - Fun and Games, LNCS, Vol. 5294, Berlin, Heidelberg, Springer, 2008, pp. 88-93.
    Search in Google Scholar
  97. 97. Yannakakis, G. N., J. Hallam. Real-Time Game Adaptation for Optimizing Player Satisfaction. - IEEE Transactions on Comp. Intelligence and AIin Games, Vol. 1, 2009, No 2, pp. 121-133.
    Open DOISearch in Google Scholar
  98. 98. Dichev, C., D. Dicheva, G. Angelova, G. Agre. From Gamification to Gameful Design and Gameful Experience in Learning. - Cybernetics and Information Technologies, Vol. 14, 2014, No 4, pp. 80-100.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.1515/cait-2016-0032 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Journal RSS Feed
Language: English
Page range: 3 - 34
Published on: Aug 19, 2016
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
Video games,
affective feedback,
adaptation,
emotion
Related subjects:
Computer sciences,
Information technology

© 2016 Boyan Bontchev, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 16 (2016): Issue 3 (September 2016)
Next article