3063–3072.7.1) Related Reading How to Mod Google Snake Game in 2022 (Google Snake Hack) In: 29th ACM Conference on Human Factors in Computing Systems, pp. Klasnja, P., Consolvo, S., Pratt, W.: How to Evaluate Technologies for Health Behavior Change in HCI Research. In: 5th ACM SIGGRAPH Symposium on Video Games, pp. Mueller, F., Vetere, F., Gibbs, M.R., Agamanolis, S., Sheridan, J.: Jogging Over a Distance: The Influence of Design in Parallel Exertion Games. Centers for Disease Control and Prevention, Ĭroker, P.R.E., Bouffard, M., Gessaroli, M.E.: Measuring Enjoyment in Youth Sport Settings: A Confirmatory Factor Analysis of Physical Activity Enjoyment Scale.
Harper Collins, New York (1991)īorg, G.: Perceived Exertion as an Indicator of Somatic Stress. Computers and Education 52(1), 101–112 (2009)Ĭsikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. ACM Press, New York (2010)įu, F.L., Su, R.C., Yu, S.C.: EGameFlow: A Scale to Measure Learners’ Enjoyment of E–Learning Games. In: 28th ACM Conference on Human Factors in Computing Systems, pp. IEEE Pervasive Computing 9(4), 51–57 (2010)Ĭhu Yew Lee, S.L., Been-Lirn Duh, H., Quek, F.: Investigating Narrative in Mobile Games for Seniors. ACM Press, New York (2008)īuttussi, F., Chittaro, L.: Smarter Phones for Healthier Lifestyles: An Adaptive Fitness Game and Its Evaluation. In: 26th ACM Conference on Human Factors in Computing Systems, pp.
#Classic snake google trial
ACM Press, New York (2008)Ĭonsolvo, S., McDonald, D.W., Toscos, T., Chen, M.Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., Smith, I., Landay, J.A.: Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In: 26th ACM Conference on Human Factors in Computing Systems Workshop on Exertion Interfaces, pp. Kazakos, K., Fujiki, Y., Puri, C., Bhuddaraju, P., Pavlidis, I., Levine, J.: NEAT-o-Games: Exertion Interface Interwoven in Daily Life. In: 2010 International Academic Conference on the Future of Game Design and Technology, pp. Stanley, K.G., Livingston, I., Bandurka, A., Kapiszka, R., Mandryk, R.L.: PiNiZoRo: A GPS–Based Exercise Game for Families. Kendzierski, D., DeCarlo, K.J.: Physical Activity Enjoyment Scale: Two Validation Studies. World Health Organization: Chronic diseases and health promotion - Global Physical Activity Surveillance, In: 2008 International Conference on Advances in Computer Entertainment Technology, pp. Wylie, C.G., Coulton, P.: Mobile Exergaming. In: Meaningful Play 2010 Conference, Michigan State University (2010) Pediatrics 124(2), 534–540 (2009)ĭoran, K., Pickford, S., Austin, C., Walker, T., Barnes, T.: World of Workout: Towards Pervasive, Intrinsically Motivated, Mobile Exergaming. Graf, D.L., Pratt, L.V., Hester, C.N., Short, K.R.: Playing Active Video Games Increases Energy Expenditure in Children. In: 42nd Design Automation Conference (2005), US Department of Health and Human Services, īogost, I.: The rhetoric of exergaming. The results of the study presented in this paper shed light on how differences in users’ lifestyle can be related to exergame enjoyment and to attitude change fostered by the exergame. Second, we wanted to introduce important measures (such as users’ attitude towards walking) in the evaluation of exergames, by adopting validated questionnaires employed in the medical literature. To this purpose, we propose a location–based version of the classic Snake mobile game, in which users can control the snake by walking. First, we wanted to design a fun and easy-to-use mobile exergame to encourage walking. The research we present in this paper had two main goals. Different mobile exergames have been proposed in the literature, and typically evaluated with informal interviews and ad–hoc questionnaires. Mobile devices are an interesting platform for exergames because they can support outdoors activities such as walking and running. Exergames (video games that combine exercise and play) could encourage physical activity by making it more enjoyable.
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