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Evaluation of the Game Exermon – A Strength Exergame Inspired by Pokémon Go

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Advances in Computer Entertainment Technology (ACE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10714))

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Abstract

Sedentary lifestyle has become a major concern across the world as a result of an increasing number of desk jobs, and a steady increase in digital media consumption. This type of lifestyle can cause major health issues. The immensely popular game Pokémon Go has proven that it is possible to develop games that will motivate people of all ages to be physical active. Our exergame, Exermon, got its inspiration from Pokémon games as well as the Tamagotchi games, where our goal was to motivate the player to do strength exercises to evolve a fantasy character. This paper describes the Exermon game concept, and presents the results from an evaluation of the game where the focus was on the physical, motivational, enjoyment, and engagement effects of playing the game, as well as evaluating the game control, progression and social interaction.

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Notes

  1. 1.

    ACSM Information on Resistance Training for Health and Fitness: http://www.acsm.org/docs/brochures/resistance-training.pdf.

  2. 2.

    In the presentation of the data, the results from the questionnaire grouped in to the two responses disagree and agree. This means that strongly disagree and disagree are put into one group, and strongly agree and agree are put into another group.

References

  1. Unnithan, V.B., Houser, W., Fernhall, B.: Evaluation of the energy cost of playing a dance simulation video game in overweight and non-overweight children and adolescents. Int. J. Sports Med. 27, 804–809 (2006)

    Article  Google Scholar 

  2. Göbel, S., Hardy, S., Wendel, V., Mehm, F., Steinmetz, R.: Serious games for health: personalized exergames. In: Proceedings of the 18th ACM International Conference on Multimedia, pp. 1663–1666. ACM (2010)

    Google Scholar 

  3. Gao, Y., Mandryk, R.: The acute cognitive benefits of casual exergame play. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1863–1872. ACM (2012)

    Google Scholar 

  4. Ketcheson, M., Ye, Z., Graham, T.: Designing for exertion: how heart-rate power-ups increase physical activity in exergames. In: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 79–89. ACM (2015)

    Google Scholar 

  5. Chatta, A., Hurst, T., Samaraweera, G., Guo, R., Quarles, J.: Get off the couch: an approach to utilize sedentary commercial games as exergames. In: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 47–56. ACM (2015)

    Google Scholar 

  6. de Souza, L.M., Yildirim, I.G., Kolesnichenko, A., Park, T.: World of riders: exercising is fun. In: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, pp. 55–60. ACM (2016)

    Google Scholar 

  7. Hagen, K., Chorianopoulos, K., Wang, A.I., Jaccheri, L., Weie, S.: Gameplay as exercise. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 1872–1878. ACM (2016)

    Google Scholar 

  8. Lin, J.J., Mamykina, L., Lindtner, S., Delajoux, G., Strub, H.B.: Fish’n’Steps: encouraging physical activity with an interactive computer game. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 261–278. Springer, Heidelberg (2006). https://doi.org/10.1007/11853565_16

    Chapter  Google Scholar 

  9. Macvean, A., Robertson, J.: iFitQuest: a school based study of a mobile location-aware exergame for adolescents. In: Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 359–368. ACM (2012)

    Google Scholar 

  10. Gerling, K.M., Miller, M., Mandryk, R.L., Birk, M.V., Smeddinck, J.D.: Effects of balancing for physical abilities on player performance, experience and self-esteem in exergames. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 2201–2210. ACM (2014)

    Google Scholar 

  11. Gerling, K.M., Schild, J., Masuch, M.: Exergame design for elderly users: the case study of SilverBalance. In: Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology, pp. 66–69. ACM (2010)

    Google Scholar 

  12. Barry, G., Galna, B., Rochester, L.: The role of exergaming in Parkinson’s disease rehabilitation: a systematic review of the evidence. J. Neuroeng. Rehabil. 11, 1 (2014)

    Article  Google Scholar 

  13. Tsai, T.-H., Chang, H.-T., Huang, G.-S., Chang, C.-C.: WaterBall: the exergaming design for rehabilitation of the elderly. Comput. Aided Des. Appl. 9, 481–489 (2012)

    Article  Google Scholar 

  14. Alavesa, P., Schmidt, J., Fedosov, A., Byrne, R., Mueller, F.F.: Air tandem: a collaborative bodily game exploring interpersonal synchronization. In: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 433–438. ACM (2015)

    Google Scholar 

  15. Hämäläinen, P., Marshall, J., Kajastila, R., Byrne, R., Mueller, F.F.: Utilizing gravity in movement-based games and play. In: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 67–77. ACM (2015)

    Google Scholar 

  16. Rebane, K., Kai, T., Endo, N., Imai, T., Nojima, T., Yanase, Y.: Insights of the augmented dodgeball game design and play test. In: Proceedings of the 8th Augmented Human International Conference, p. 12. ACM (2017)

    Google Scholar 

  17. Choi, W., Oh, J., Edge, D., Kim, J., Lee, U.: SwimTrain: exploring exergame design for group fitness swimming. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1692–1704. ACM (2016)

    Google Scholar 

  18. Raffe, W.L., Tamassia, M., Zambetta, F., Li, X., Pell, S.J., Mueller, F.F.: Player-computer interaction features for designing digital play experiences across six degrees of water contact. In: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 295–305. ACM (2015)

    Google Scholar 

  19. Mueller, F.F., Agamanolis, S., Gibbs, M.R., Vetere, F.: Remote impact: shadowboxing over a distance. In: CHI 2008 Extended Abstracts on Human Factors in Computing Systems, pp. 2291–2296. ACM (2008)

    Google Scholar 

  20. Sato, K., Kuroki, K., Saiki, S., Nagatomi, R.: Improving walking, muscle strength, and balance in the elderly with an exergame using Kinect: a randomized controlled trial. Games for Health J. 4, 161–167 (2015)

    Article  Google Scholar 

  21. Chao, Y.-Y., Scherer, Y.K., Wu, Y.-W., Lucke, K.T., Montgomery, C.A.: The feasibility of an intervention combining self-efficacy theory and Wii Fit exergames in assisted living residents: a pilot study. Geriatr. Nurs. 34, 377–382 (2013)

    Article  Google Scholar 

  22. Chang, Y.-J., Chen, S.-F., Huang, J.-D.: A kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. Res. Dev. Disabil. 32, 2566–2570 (2011)

    Article  Google Scholar 

  23. Bonetti, A.J., Drury, D.G., Danoff, J.V., Miller, T.A.: Comparison of acute exercise responses between conventional video gaming and isometric resistance exergaming. J. Strength Cond. Res. 24, 1799–1803 (2010)

    Article  Google Scholar 

  24. Marshall, J., Linehan, C., Hazzard, A.: Designing brutal multiplayer video games. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 2669–2680. ACM (2016)

    Google Scholar 

  25. Bartley, J., Forsyth, J., Pendse, P., Xin, D., Brown, G., Hagseth, P., Agrawal, A., Goldberg, D.W., Hammond, T.: World of workout: a contextual mobile RPG to encourage long term fitness. In: Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, pp. 60–67. ACM (2013)

    Google Scholar 

  26. Richards, C., Graham, T.: Developing compelling repetitive-motion exergames by balancing player agency with the constraints of exercise. In: Proceedings of the 2016 ACM Conference on Designing Interactive Systems, pp. 911–923. ACM (2016)

    Google Scholar 

  27. Buchner, D.M., Bishop, J., Brown, D.R., Fulton, J.E., Galuska, D.A., Gilchrist, J., Guralnik, J.M., Hootman, J.M., Johnson, M.A., Kohl III, H.W., Lee, S.M., Loughrey, K.A., McDivitt, J.A., Simons-Morton, D.G., Smith, A.W., Tilson, W.M., Troiano, R.P., Wargo, J.D., Willis, G.B., Rodgers, A.B.: 2008 Physical Activity Guidelines for Americans. U.S. Department of Health and Human Services (2008)

    Google Scholar 

  28. Wikipedia: Pokémon Go. Wikipedia (2017)

    Google Scholar 

  29. Clark, A.M., Clark, M.T.: Pokémon go and research - qualitative, mixed methods research, and the supercomplexity of interventions. Int. J. Qual. Methods 15(1) (2016). SAGE Publications, London

    Google Scholar 

  30. McCartney, M.: Margaret McCartney: game on for Pokémon Go. BMJ: Br. Med. J. 354, i4306 (2016)

    Article  Google Scholar 

  31. Wüest, S., Langenberg, R., Bruin, E.D.: Design considerations for a theory-driven exergame-based rehabilitation program to improve walking of persons with stroke. Eur. Rev. Aging Phys. Act. 11, 119 (2013)

    Article  Google Scholar 

  32. Smith, S.T., Schoene, D.: The use of exercise-based videogames for training and rehabilitation of physical function in older adults: current practice and guidelines for future research. Aging Health 8, 243–252 (2012)

    Article  Google Scholar 

  33. Wylie, C.G., Coulton, P.: Mobile exergaming. In: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, pp. 338–341. ACM (2008)

    Google Scholar 

  34. Di Tore, P.A., Raiola, G.: Exergames in motor skill learning. J. Phys. Educ. Sport 12, 358 (2012)

    Google Scholar 

  35. Wylie, C.G., Coulton, P.: Mobile persuasive exergaming. In: 2009 International IEEE Consumer Electronics Society’s Games Innovations Conference, pp. 126–130. IEEE (2009)

    Google Scholar 

  36. Chittaro, L., Sioni, R.: Turning the classic snake mobile game into a location–based exergame that encourages walking. In: Bang, M., Ragnemalm, E.L. (eds.) PERSUASIVE 2012. LNCS, vol. 7284, pp. 43–54. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31037-9_4

    Chapter  Google Scholar 

  37. Gorgu, L., O’Hare, G.M., O’Grady, M.J.: Towards mobile collaborative exergaming. In: Second International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services, CENTRIC 2009, pp. 61–64. IEEE (2009)

    Google Scholar 

  38. Wang, A.I., Forberg, S., Øye, J.K.: Knowledge war - a pervasive multiplayer role-playing learning game. In: European Conference on Game Based Learning (ECGBL 2016). ACPI, Glasgow (2016)

    Google Scholar 

  39. Wang, A.I., Ibánez, J.D.J.L.G.: Learning recycling from playing a kinect game. Int. J. Game-Based Learn. (IJGBL) 5, 25–44 (2015)

    Article  Google Scholar 

  40. Wu, B., Wang, A.I.: A pervasive game to know your city better. In: Proceedings of the 2011 IEEE International Games Innovation Conference (IGIC 2011), pp. 117–120 (2011)

    Google Scholar 

  41. Yim, J., Graham, T.: Using games to increase exercise motivation. In: Proceedings of the 2007 Conference on Future Play, pp. 166–173. ACM (2007)

    Google Scholar 

  42. Hagen, K., Weie, S., Chorianopoulos, K., Wang, A.I., Jaccheri, L.: Pedal tanks. In: Chorianopoulos, K., Divitini, M., Hauge, J.B., Jaccheri, L., Malaka, R. (eds.) ICEC 2015. LNCS, vol. 9353, pp. 539–544. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24589-8_53

    Chapter  Google Scholar 

  43. Bolton, J., Lambert, M., Lirette, D., Unsworth, B.: PaperDude: a virtual reality cycling exergame. In: CHI 2014 Extended Abstracts on Human Factors in Computing Systems, pp. 475–478. ACM (2014)

    Google Scholar 

  44. Shaw, L.A.: Development and evaluation of an exercycle game using immersive technologies. The University of Auckland, New Zealand (2014)

    Google Scholar 

  45. Nenonen, V., Lindblad, A., Häkkinen, V., Laitinen, T., Jouhtio, M., Hämäläinen, P.: Using heart rate to control an interactive game. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 853–856. ACM (2007)

    Google Scholar 

  46. Oh, Y., Yang, S.: Defining exergames & exergaming. In: Proceedings of Meaningful Play, pp. 1–17 (2010)

    Google Scholar 

  47. Serino, M., Cordrey, K., McLaughlin, L., Milanaik, R.L.: Pokémon Go and augmented virtual reality games: a cautionary commentary for parents and pediatricians. Curr. Opin. Pediatr. 28, 673–677 (2016)

    Article  Google Scholar 

  48. Winett, R.A., Carpinelli, R.N.: Potential health-related benefits of resistance training. Prev. Med. 33, 503–513 (2001)

    Article  Google Scholar 

  49. Hunter, G.R., McCarthy, J.P., Bamman, M.M.: Effects of resistance training on older adults. Sports Med. 34, 329–348 (2004)

    Article  Google Scholar 

  50. Feigenbaum, M.S., Pollock, M.L.: Prescription of resistance training for health and disease. Med. Sci. Sports Exerc. 31, 38–45 (1999)

    Article  Google Scholar 

  51. Malone, T.W.: What makes things fun to learn? heuristics for designing instructional computer games. In: The 3rd ACM SIGSMALL Symposium and the First SIGPC Symposium on Small Systems. ACM Press, Palo Alto (1980)

    Google Scholar 

  52. Nakamura, J., Csikszentmihalyi, M.: The concept of flow. Flow and the Foundations of Positive Psychology, pp. 239–263. Springer, Dordrecht (2014). https://doi.org/10.1007/978-94-017-9088-8_16

    Google Scholar 

  53. Sinclair, J., Hingston, P., Masek, M.: Exergame development using the dual flow model. In: Proceedings of the Sixth Australasian Conference on Interactive Entertainment, p. 11. ACM (2009)

    Google Scholar 

  54. Sinclair, J., Hingston, P., Masek, M., Nosaka, K.: Testing an exergame for effectiveness and attractiveness. In: 2010 2nd International IEEE Consumer Electronics Society’s Games Innovations Conference, pp. 1–8. IEEE (2010)

    Google Scholar 

  55. Basili, V.R.: Software modeling and measurement: the Goal/Question/Metric paradigm. University of Maryland for Advanced Computer Studies (1992)

    Google Scholar 

  56. Malone, T.W.: Toward a theory of intrinsically motivating instruction. Cognit. Sci. 5, 333–369 (1981)

    Article  Google Scholar 

  57. Sweetser, P., Wyeth, P.: GameFlow: a model for evaluating player enjoyment in games. ACM Comput. Entertain. 3, 3 (2005)

    Article  Google Scholar 

  58. Gale, E.A.: The Hawthorne studies—a fable for our times? QJM 97, 439–449 (2004)

    Article  Google Scholar 

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Acknowledgements

Our sincerest thanks go out to all the participants of the testing process. Without you, we would not have been able to conduct this study, and write this paper. You know who you are.

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Authors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Alf Inge Wang, Kristoffer Hagen, Torbjørn Høivik & Gaute Meek Olsen

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  1. Alf Inge Wang
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  2. Kristoffer Hagen
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  3. Torbjørn Høivik
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  4. Gaute Meek Olsen
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Correspondence to Alf Inge Wang .

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Editors and Affiliations

  1. City, University of London, London, United Kingdom

    Adrian David Cheok

  2. University of Tokyo, Tokyo, Japan

    Masahiko Inami

  3. NOVA University of Lisbon, Lisbon, Portugal

    Teresa Romão

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Wang, A.I., Hagen, K., Høivik, T., Olsen, G.M. (2018). Evaluation of the Game Exermon – A Strength Exergame Inspired by Pokémon Go. In: Cheok, A., Inami, M., Romão, T. (eds) Advances in Computer Entertainment Technology. ACE 2017. Lecture Notes in Computer Science(), vol 10714. Springer, Cham. https://doi.org/10.1007/978-3-319-76270-8_27

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