Tracking behavior in persuasive apps: Is sensor-based detection always better than user self-reporting?

Miyuki Shiraishi*, Vili Lehdonvirta, Yasuyuki Washio, Hiroaki Kimura, Chihiro Takayama, Tatsuo Nakajima

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper aims to discuss the roles for the two types of tracking user behavior. Considering these two types of tracking, sensor based recognition has a great advantage when sensing human activity, but it is not always adequate when tracking in the real world. In this paper, we compare the benefits and drawbacks of sensor-based tracking versus self-reported data in persuasive applications called EcoIsland.

本文言語English
ホスト出版物のタイトルProceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
ページ4045-4050
ページ数6
DOI
出版ステータスPublished - 2009
イベント27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 - Boston, MA, United States
継続期間: 2009 4 42009 4 9

出版物シリーズ

名前Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
国/地域United States
CityBoston, MA
Period09/4/409/4/9

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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