Title
An Ecosystem for Learning and Using Sensor-Driven IM Status Messages
Abstract
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.
Year
DOI
Venue
2009
10.1109/MPRV.2009.67
IEEE Pervasive Computing
Keywords
Field
DocType
Ecosystems,Handheld computers,Context,Prototypes,Sensor systems,Portable computers,Monitoring,Facebook,Twitter,Joining processes
Mobile computing,World Wide Web,Laptop,Computer science,Location-based service,Mobile device,Human–computer interaction,Content creation,Ubiquitous computing,Wireless sensor network,Multimedia,The Internet
Journal
Volume
Issue
ISSN
8
4
1536-1268
Citations 
PageRank 
References 
13
0.77
11
Authors
5
Name
Order
Citations
PageRank
Donald J. Patterson11765219.99
Xianghua Ding220325.78
Samuel J. Kaufman3292.42
Kah Liu4201.46
Andrew Zaldivar538729.79