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Utilization of Behavior Data Due to Differences in Determination of Activity

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Advances in Industrial Design (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 260))

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Abstract

The Behavior Data has been widely used to promote healthy exercise. In this research, we used Stages of Change of the Transtheoretical Model (TTM) to classify exercisers into three types: Low-Will, Middle-Will, and Strong-Will, and then conducted a survey on the characteristics of exercise and the use of behavior data for each type. It was found that the Low-Will type tended to be less active than the Middle-Will, and the Middle-Will type tended to enjoy exercise less than the Strong-Will type. In addition, it was found that as will type increased, there was a tendency to seek specialized behavior data such as average pace and a tendency to increase the amount of data that could be managed. These findings suggest that the method of providing Visualization data using the Stages of Change is effective as a method of providing data to encourage exercise. In this research, we also proposed a data provision method for each type based on the survey results.

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Author information

Authors and Affiliations

  1. Electrical Engineering and Computer Science, Shibaura Institute of Technology, 3-9-14 Shibaura, Minato-ku, Tokyo, 108-8548, Japan

    Ryusei Anzai

  2. College of Engineering and Design, Shibaura Institute of Technology, 3-9-14 Shibaura, Minato-ku, Tokyo, 108-8548, Japan

    WonSeok Yang

Authors
  1. Ryusei Anzai
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  2. WonSeok Yang
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Editor information

Editors and Affiliations

  1. Department of Industrial Design, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Cliff Sungsoo Shin

  2. Dipartimento di Architettura, Università degli Studi G. d’Annunzio, Pescara, Italy

    Giuseppe Di Bucchianico

  3. System Design and Management, Keio University, Musashino, Japan

    Shuichi Fukuda

  4. DAAP School of Design, University of Cincinnati, Cincinnati, OH, USA

    Yong-Gyun Ghim

  5. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Gianni Montagna

  6. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Cristina Carvalho

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Anzai, R., Yang, W. (2021). Utilization of Behavior Data Due to Differences in Determination of Activity. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_6

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80828-0

  • Online ISBN: 978-3-030-80829-7

  • eBook Packages: EngineeringEngineering (R0)

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