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Replacing Self-Efficacy in Physical Activity: Unconscious Intervention of the AR Game, Pokémon GO

Author

Listed:
  • Hana Kim

    (Technology Management, Economics and Policy Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hyung Jin Lee

    (Technology Management, Economics and Policy Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hosoo Cho

    (Technology Management, Economics and Policy Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Eungdo Kim

    (Graduate School of Health Science Business Convergence, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Chungbuk 28644, Korea)

  • Junseok Hwang

    (Technology Management, Economics and Policy Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

With increases in aging and chronic disease, there have been efforts to apply IT to healthcare. Many studies show that the will to exercise (self-efficacy) is the most important factor contributing to physical activity. However, those who need exercise do not have this will so that an approach to increase the motivation for physical activity should be unconscious. Thus, playing Pokémon GO, an augmented reality (AR) mobile game requiring players to ambulate in reality, increases the physical activity of individuals with a simple motivation of enjoyment. A survey on 237 Pokémon GO players was analyzed using structural equation modeling (SEM) considering libertarian paternalism. The results show that self-efficacy had a non-significant effect on attitude toward the game Pokémon GO, while previous studies found that self-efficacy is the most important factor in increasing physical activity. This indicates that playing AR drives physical activity, subconsciously and effectively.

Suggested Citation

  • Hana Kim & Hyung Jin Lee & Hosoo Cho & Eungdo Kim & Junseok Hwang, 2018. "Replacing Self-Efficacy in Physical Activity: Unconscious Intervention of the AR Game, Pokémon GO," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1971-:d:152049
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Bosompra, Kwadwo, 2001. "Determinants of condom use intentions of university students in Ghana: an application of the theory of reasoned action," Social Science & Medicine, Elsevier, vol. 52(7), pages 1057-1069, April.
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    Cited by:

    1. Anna Vinnikova & Liangdong Lu & Jiuchang Wei & Guangbao Fang & Jing Yan, 2020. "The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    2. Sangwan Jeon & Jiyoun Kim, 2020. "Effects of Augmented-Reality-Based Exercise on Muscle Parameters, Physical Performance, and Exercise Self-Efficacy for Older Adults," IJERPH, MDPI, vol. 17(9), pages 1-12, May.

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