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An Ecosystem for Learning and Using Sensor-Driven IM Status Messages
October-December 2009 (vol. 8 no. 4)
pp. 42-49
ASCII Text
x 
 
Donald J. Patterson, Xianghua Ding, Samuel J. Kaufman, Kah Liu, Andrew Zaldivar, "An Ecosystem for Learning and Using Sensor-Driven IM Status Messages," IEEE Pervasive Computing, vol. 8, no. 4, pp. 42-49, October-December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MPRV.2009.67,
author = {Donald J. Patterson and Xianghua Ding and Samuel J. Kaufman and Kah Liu and Andrew Zaldivar},
title = {An Ecosystem for Learning and Using Sensor-Driven IM Status Messages},
journal ={IEEE Pervasive Computing},
volume = {8},
number = {4},
issn = {1536-1268},
year = {2009},
pages = {42-49},
doi = {http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.67},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Pervasive Computing
TI - An Ecosystem for Learning and Using Sensor-Driven IM Status Messages
IS - 4
SN - 1536-1268
SP42
EP49
EPD - 42-49
A1 - Donald J. Patterson,
A1 - Xianghua Ding,
A1 - Samuel J. Kaufman,
A1 - Kah Liu,
A1 - Andrew Zaldivar,
PY - 2009
KW - context-aware computing
KW - instant messenger
KW - awareness
KW - location-based services
VL - 8
JA - IEEE Pervasive Computing
ER -
 
Donald J. Patterson, University of California, Irvine.
Xianghua Ding, University of California, Irvine
Samuel J. Kaufman, University of California, Irvine,
Kah Liu, University of California, Irvine
Andrew Zaldivar, 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.

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Index Terms:
context-aware computing, instant messenger, awareness, location-based services
Citation:
Donald J. Patterson, Xianghua Ding, Samuel J. Kaufman, Kah Liu, Andrew Zaldivar, "An Ecosystem for Learning and Using Sensor-Driven IM Status Messages," IEEE Pervasive Computing, vol. 8, no. 4, pp. 42-49, Oct.-Dec. 2009, doi:10.1109/MPRV.2009.67
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