Issue No. 04 - October-December (2009 vol. 8)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.67
Kah Liu , University of California, Irvine
Xianghua Ding , University of California, Irvine
Andrew Zaldivar , University of California, Irvine
Donald J. Patterson , University of California, Irvine.
Samuel J. Kaufman , University of California, Irvine,
This article presents a prototype system (Nomatic) that automatically infers users' place, activity, and availability from sensors on their handheld devices or laptop computers and then reports this information to their instant-messaging contacts. Rather than trying to interpret users' context independently from their needs, the authors attempt to support users in repeating their own labeling behavior in similar situations. They present additional Nomatic-based applications that support their view that sustained status setting behavior depends on a complete communications ecosystem that provides for easy status entry, a variety of perception channels, and intrinsic motivation.
context-aware computing, instant messenger, awareness, location-based services
Kah Liu, Xianghua Ding, Andrew Zaldivar, Donald J. Patterson, Samuel J. Kaufman, "An Ecosystem for Learning and Using Sensor-Driven IM Status Messages", IEEE Pervasive Computing, vol. 8, no. , pp. 42-49, October-December 2009, doi:10.1109/MPRV.2009.67