Tracking behavior in persuasive apps

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

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

Full text

Pdf (4.32 MB)

Source

Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Spotlight on work in progress session 1 table of contents

Pages 4045-4050

Year of Publication: 2009

ISBN:978-1-60558-247-4

Authors

Miyuki Shiraishi	Waseda University, Tokyo, Japan
Yasuyuki Washio	Waseda University, Tokyo, Japan
Chihiro Takayama	Waseda University, Tokyo, Japan
Vili Lehdonvirta	Helsinki Institute for Information Technology, Espoo, Finland
Hiroaki Kimura	Waseda University, Tokyo, Japan
Tatsuo Nakajima	Waseda University, Tokyo, Japan

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 48, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1520340.1520615 What is a DOI?

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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Tatsuo Nakajima , Vili Lehdonvirta , Eiji Tokunaga , Hiroaki Kimura, Reflecting human behavior to motivate desirable lifestyle, Proceedings of the 7th ACM conference on Designing interactive systems, p.405-414, February 25-27, 2008, Cape Town, South Africa [doi>10.1145/1394445.1394489]
	2	Schechtner, K., Schrom-Feiertag, H. Understanding and influencing spatiotemporal visitor movement in national parks based on static and dynamic sensor data. In Pervasive 2008 Workshop Proceedings, pp.95--99, 2008.
	3	Dillahunt, T., Becker, G., Mankoff, J., Kraut, R. Motivating environmentally sustainable behavior changes with a virtual polar bear. In Pervasive 2008 Workshop Proceedings, pp.58--62, 2008
	4	Strengers, Y. Challenging comfort & cleanliness norms through interactive in--home feedback systems. In Pervasive 2008 Workshop Proceedings, Sydney, Australia, May 19--22. (2008) 104--108