Encouraging Team Behavior Modification Using Life Log

• 西山勇毅

  Graduate School of Media and Governance, Keio University

• 大越匡

  Graduate School of Media and Governance, Keio University

• 米澤拓郎

  Graduate School of Media and Governance, Keio University

• 中澤仁

  Faculty of Environment and Information Studies, Keio University

• 高汐一紀

  Faculty of Environment and Information Studies, Keio University

• 徳田英幸

  Graduate School of Media and Governance, Keio University

Bibliographic Information

Other Title

• ライフログデータを用いたチームの行動変容促進

Abstract

Currently, everyone can detect and store many life-log data very easily with the spread of smart phones or wearable devices and large scale data storage. Wide variety and large scale life-log data are very useful to self behavior change, medical care, education, and social analytics. Existing researches of human behavior change using life-log data focus on individual human behavior change. But nowadays everyone have communication equipment like smart phones. Group behavior change is very useful to keep workers' health in company and/or managing amount of practice in a sport team. Group has many kind of human relations, for example, manager and normal member. Therefore techniques for individual human behavior change is not effective to groups. The biggest aim of our research is to build the model of group behavior change. Specially, we focus on team behavior change. In this paper, we propose six types of group behavior model based on the "competition" and "collaboration" technique. We used encouraging team modification application in sports team and laboratory for keeping the sit-up exercise for 3 weeks. Sit-up exercise is very important to preventing the injury and keep fit for the sport team and the laboratory member. We create 8 groups in a team. We evaluate and consider this model based on the change of the self-efficacy and number of sit-up activities.

Journal

• IPSJ SIG technical reports

  IPSJ SIG technical reports 2014 (9), 1-8, 2014-03-07

  Information Processing Society of Japan (IPSJ)

Keywords

• 推定

Details

• CRID: 1570291227906361600
• NII Article ID: 110009676718
• NII Book ID: AA11851388
• ISSN: 09196072
• Text Lang: ja
• Data Source:
  • CiNii Articles