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 proceedingConference 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 publicationConference on Human Factors in Computing Systems - Proceedings
    Pages4045-4050
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 - Boston, MA
    Duration: 2009 Apr 42009 Apr 9

    Other

    Other27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
    CityBoston, MA
    Period09/4/409/4/9

    Fingerprint

    Application programs
    Sensors

    Keywords

    • Automatic sensing
    • Persuasive technology
    • Self-reporting

    ASJC Scopus subject areas

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

    Cite this

    Shiraishi, M., Lehdonvirta, V., Washio, Y., Kimura, H., Takayama, C., & Nakajima, T. (2009). Tracking behavior in persuasive apps: Is sensor-based detection always better than user self-reporting? In Conference on Human Factors in Computing Systems - Proceedings (pp. 4045-4050) https://doi.org/10.1145/1520340.1520615

    Tracking behavior in persuasive apps : Is sensor-based detection always better than user self-reporting? / Shiraishi, Miyuki; Lehdonvirta, Vili; Washio, Yasuyuki; Kimura, Hiroaki; Takayama, Chihiro; Nakajima, Tatsuo.

    Conference on Human Factors in Computing Systems - Proceedings. 2009. p. 4045-4050.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Shiraishi, M, Lehdonvirta, V, Washio, Y, Kimura, H, Takayama, C & Nakajima, T 2009, Tracking behavior in persuasive apps: Is sensor-based detection always better than user self-reporting? in Conference on Human Factors in Computing Systems - Proceedings. pp. 4045-4050, 27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009, Boston, MA, 09/4/4. https://doi.org/10.1145/1520340.1520615
    Shiraishi M, Lehdonvirta V, Washio Y, Kimura H, Takayama C, Nakajima T. Tracking behavior in persuasive apps: Is sensor-based detection always better than user self-reporting? In Conference on Human Factors in Computing Systems - Proceedings. 2009. p. 4045-4050 https://doi.org/10.1145/1520340.1520615
    Shiraishi, Miyuki ; Lehdonvirta, Vili ; Washio, Yasuyuki ; Kimura, Hiroaki ; Takayama, Chihiro ; Nakajima, Tatsuo. / Tracking behavior in persuasive apps : Is sensor-based detection always better than user self-reporting?. Conference on Human Factors in Computing Systems - Proceedings. 2009. pp. 4045-4050
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