Utilization of Behavior Data Due to Differences in Determination of Activity

Ryusei Anzai, Won Seok Yang

研究成果

抄録

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.

本文言語English
ホスト出版物のタイトルAdvances in Industrial Design - Proceedings of the AHFE 2021 Virtual Conferences on Design for Inclusion, Affective and Pleasurable Design, Interdisciplinary Practice in Industrial Design, Kansei Engineering, and Human Factors for Apparel and Textile Engineering, 2021
編集者Cliff Sungsoo Shin, Giuseppe Di Bucchianico, Shuichi Fukuda, Yong-Gyun Ghim, Gianni Montagna, Cristina Carvalho
出版社Springer Science and Business Media Deutschland GmbH
ページ40-46
ページ数7
ISBN(印刷版)9783030808280
DOI
出版ステータスPublished - 2021
イベントAHFE International Conferences on Design for Inclusion, Interdisciplinary Practice in Industrial Design, Affective and Pleasurable Design, Kansei Engineering, and Human Factors for Apparel and Textile Engineering, 2021 - Virtual, Online
継続期間: 2021 7 252021 7 29

出版物シリーズ

名前Lecture Notes in Networks and Systems
260
ISSN(印刷版)2367-3370
ISSN(電子版)2367-3389

Conference

ConferenceAHFE International Conferences on Design for Inclusion, Interdisciplinary Practice in Industrial Design, Affective and Pleasurable Design, Kansei Engineering, and Human Factors for Apparel and Textile Engineering, 2021
CityVirtual, Online
Period21/7/2521/7/29

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 信号処理
  • コンピュータ ネットワークおよび通信

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