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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
Pages4045-4050
Number of pages6
DOIs
Publication statusPublished - 2009 Sep 22
Event27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 - Boston, MA, United States
Duration: 2009 Apr 4 → 2009 Apr 9

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
CountryUnited States
CityBoston, MA
Period09/4/4 → 09/4/9

Keywords

  • Automatic sensing
  • Persuasive technology
  • Self-reporting

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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