Tracking behavior in persuasive apps: is sensor-based detection always better than user self-reporting?
| Title | Tracking behavior in persuasive apps: is sensor-based detection always better than user self-reporting? |
| Publication Type | Conference Paper |
| Year of Publication | 2009 |
| Authors | Miyuki Shiraishi, Yasuyuki Washio, Chihiro Takayama, Vili Lehdonvirta, Hiroaki Kimura, and Tatsuo Nakajima |
| Conference Name | CHI EA '09: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-60558-247-4 |
| 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. |
| DOI | http://doi.acm.org/10.1145/1520340.1520615 |
| Export |
| PDF File | Size |
|---|---|
| p4045-shiraishi.pdf | 4.12 MB |