Abstract
Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.
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References
Picard, R.W.: Affective Computing, 1st edn. The MIT Press (1997)
Luneski, A., Konstantinidis, E.I., Bamidis, P.D.: Affective Medicine: a review of Affective Computing efforts in Medical Informatics. Methods of Information in Medicine 49(3), 207–218
Chang Hsu, C., Chien, Y.Y.: An Intelligent Fuzzy Affective Computing System for Elderly Living Alone. In: Ninth International Conference on Hybrid Intelligent Systems, HIS 2009, Shenyang, August 12-14, pp. 293–297 (2009)
Camarinha-Matos, L., Afsarmanesh, H.: The Need for a Strategic R&D Roadmap for Active Ageing. In: Camarinha-Matos, L.M., Paraskakis, I., Afsarmanesh, H. (eds.) PRO-VE 2009. IFIP AICT, vol. 307, pp. 669–681. Springer, Heidelberg (2009), doi:10.1007/978-3-642-04568-4_69
Hudlicka, E.: Affective game engines: motivation and requirements. In: Proceedings of the 4th International Conference on Foundations of Digital Games (FDG 2009), pp. 299–306. ACM, New York (2009), doi:10.1145/1536513.1536565
Gilleade, K., Dix, A., Allanson, J.: Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me. In: DIGRA, Vancouver, BC, Canada (2005)
Billis, A.S., Konstantinidis, E.I., Ladas, A.I., Tsolaki, M.N., Pappas, C., Bamidis, P.D.: Evaluating affective usability experiences of an exergaming platform for seniors. In: 10th International Workshop on Biomedical Engineering, Kos Island, Greece, October 5-7 (2011)
The Long Lasting Memories Project, http://www.longlastingmemories.eu (last visit April 14, 2011)
Folstein, M.F., Folstein, S.E., McHugh, P.R.: Mini-mental state A practical method for grading the cognitive state of patients for the clinician. Psychiatr Res., 189–198 (1975)
Nasreddine, M.D., Ziad, S., Natalie, A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Jeffrey, L., Chertkow, H.: The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment. Journal of the American Geriatrics Society 53(4), 695–699(5) (2005)
Billis, A.S., Konstantinidis, E.I., Mouzakidis, C., Tsolaki, M.N., Pappas, C., Bamidis, P.D.: A game-like interface for training seniors’ dynamic balance and coordination. In: XII Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010. IFMBE Proceedings, vol. 29, pp. 691–694 (2010)
Gauvin, L., Rejeski, W.J.: The Exercise-Induced Feeling Inventory: Development and initial validation. Journal of Sport and Exercise Psychology 15, 403–423 (1993)
Kendzierski, D., DeCarlo, K.J.: Physical Activity Enjoyment Scale: Two Validation Studies. Journal of Sport and Exercise Phychology
Paxton, R.J., Nigg, C., Motl, R.W., Yamashita, M., Chung, R., Battista, J., et al.: Physical activity enjoyment scale short form–does it fit for children? Research Quarterly for Exercise and Sport (2008)
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Konstantinidis, E.I., Billis, A., Grigoriadou, E., Sidiropoulos, S., Fasnaki, S., Bamidis, P.D. (2012). Affective Computing on Elderly Physical and Cognitive Training within Live Social Networks. In: Maglogiannis, I., Plagianakos, V., Vlahavas, I. (eds) Artificial Intelligence: Theories and Applications. SETN 2012. Lecture Notes in Computer Science(), vol 7297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30448-4_43
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DOI: https://doi.org/10.1007/978-3-642-30448-4_43
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