Predicting human interruptibility with sensors

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Authors:	James Fogarty	Carnegie Mellon University, Pittsburg, PA
	Scott E. Hudson	Carnegie Mellon University, Pittsburg, PA
	Christopher G. Atkeson	Carnegie Mellon University, Pittsburg, PA
	Daniel Avrahami	Carnegie Mellon University, Pittsburg, PA
	Jodi Forlizzi	Carnegie Mellon University, Pittsburg, PA
	Sara Kiesler	Carnegie Mellon University, Pittsburg, PA
	Johnny C. Lee	Carnegie Mellon University, Pittsburg, PA
	Jie Yang	Carnegie Mellon University, Pittsburg, PA

	2005 Article
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ACM Transactions on Computer-Human Interaction (TOCHI) TOCHI Homepage archive

Volume 12 Issue 1, March 2005
Pages 119-146
ACM New York, NY, USA
table of contents doi>10.1145/1057237.1057243

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Tags: collaborative computing context-aware computing machine learning managing human attention sensor-based interfaces situationally appropriate interaction user interfaces

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