Predicting human interruptibility with sensors: a Wizard of Oz feasibility study

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Authors: Scott Hudson Carnegie Mellon University, Pittsburgh, PA
James Fogarty Carnegie Mellon University, Pittsburgh, PA
Christopher Atkeson Carnegie Mellon University, Pittsburgh, PA
Daniel Avrahami Carnegie Mellon University, Pittsburgh, PA
Jodi Forlizzi Carnegie Mellon University, Pittsburgh, PA
Sara Kiesler Carnegie Mellon University, Pittsburgh, PA
Johnny Lee Carnegie Mellon University, Pittsburgh, PA
Jie Yang Carnegie Mellon University, Pittsburgh, PA
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study Published by ACM 2003 Article
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Published in:
· Proceeding
CHI '03 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pages 257-264
ACM New York, NY, USA ©2003
table of contents ISBN:1-58113-630-7 doi>10.1145/642611.642657

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