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Designing Social Exergame to Enhance Intergenerational Interaction and Exercise

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HCI in Games (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13334))

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Abstract

This paper describes a social exergame, aiming at promoting intergenerational interaction between older adults and young people, in which an older adult and a young person team up as a pair to reach the goals. Different interactions and mechanisms were designed for older adults and young people in consideration of their variations in mental and physical abilities. Motion capture by webcam was implemented and used as an interaction mechanism for older adults to play the exergame, while young people using NEONEO balance ball, a tangible interaction device, to control the game character. Although they were given different tasks, there are requirements for communication and cooperation within the pair (older adults and young people). The design process and system implementation were presented. And the Evaluation scheme was designed to test if the exergame could provide a way for intergenerational interaction between young and old, which will be of benefit for both generations. Contributions of this paper include knowledge of designing and implementing such exergame and the study on this topic can be the reference for other researchers in the relevant area.

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Acknowledgments

This work is supported by the [Shanghai Pujiang Program] under Grant [2020PJC071]; [Shanghai Jiao Tong University] under Grant [WF220543011] and facilitated by Shanghai Jiao Tong University.

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Authors and Affiliations

  1. Department of Design, Shanghai Jiao Tong University, Shanghai, China

    Emiran Kaisar, Shi Qiu, Rui Yuan & Ting Han

Authors
  1. Emiran Kaisar
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  2. Shi Qiu
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  3. Rui Yuan
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  4. Ting Han
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Corresponding author

Correspondence to Shi Qiu .

Editor information

Editors and Affiliations

  1. DePaul University, Chicago, IL, USA

    Xiaowen Fang

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Kaisar, E., Qiu, S., Yuan, R., Han, T. (2022). Designing Social Exergame to Enhance Intergenerational Interaction and Exercise. In: Fang, X. (eds) HCI in Games. HCII 2022. Lecture Notes in Computer Science, vol 13334. Springer, Cham. https://doi.org/10.1007/978-3-031-05637-6_34

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  • DOI: https://doi.org/10.1007/978-3-031-05637-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05636-9

  • Online ISBN: 978-3-031-05637-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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