SIGN IN
SIGN UP
Examining task engagement in sensor-based statistical models of human interruptibility
Full Text:
PDF
Buy this Article
Authors:
James Fogarty
Carnegie Mellon University, Pittsburgh, PA
Andrew J. Ko
Carnegie Mellon University, Pittsburgh, PA
Htet Htet Aung
Carnegie Mellon University, Pittsburgh, PA
Elspeth Golden
Carnegie Mellon University, Pittsburgh, PA
Karen P. Tang
Carnegie Mellon University, Pittsburgh, PA
Scott E. Hudson
Carnegie Mellon University, Pittsburgh, PA
2005 Article
Bibliometrics
· Downloads (6 Weeks): 10
· Downloads (12 Months): 79
· Downloads (cumulative): 964
· Citation Count: 28
Published in:
· Proceeding
CHI '05
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pages 331-340
ACM
New York, NY
, USA
©2005
table of contents
ISBN:1-58113-998-5
doi>
10.1145/1054972.1055018
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
CHI'14
Share:
|
Tags:
context-aware computing
human factors
interruptibility
machine learning
managing human attention
sensor-based interfaces
situationally appropriate interaction
user interfaces
user/machine systems
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder