A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors

Arlington, Virginia October 31-November 03

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http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.3

Eighth IEEE International Symposium o ...

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	Nicky Kern, Stavros Antifakos, Bernt Schiele, Adrian Schwaninger, "A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors," Wearable Computers, IEEE International Symposium, pp. 158-165, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004.

	BibTex	x
	@article{ 10.1109/ISWC.2004.3, author = {Nicky Kern and Stavros Antifakos and Bernt Schiele and Adrian Schwaninger}, title = {A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors}, journal ={Wearable Computers, IEEE International Symposium}, volume = {0}, year = {2004}, issn = {1530-0811}, pages = {158-165}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.3}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wearable Computers, IEEE International Symposium TI - A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors SN - 1530-0811 SP158 EP165 A1 - Nicky Kern, A1 - Stavros Antifakos, A1 - Bernt Schiele, A1 - Adrian Schwaninger, PY - 2004 KW - null VL - 0 JA - Wearable Computers, IEEE International Symposium ER -

Nicky Kern, ETH Zurich, Switzerland; Darmstadt University of Technology, Germany

Stavros Antifakos, ETH Zurich, Switzerland

Bernt Schiele, ETH Zurich, Switzerland; Darmstadt University of Technology, Germany

Adrian Schwaninger, T?bingen, Germany; University Zurich, Switzerland

For the estimation of user interruptability in wearable and mobile settings, we propose in [Context-aware notfication for wearable computing] to distinguish between the users' personal and social interruptability. In this paper, we verify this thesis with a user study on 24 subjects. Results show that there is a significant difference between social and personal interruptability. Further, we present a novel approach to estimate the social and personal interruptability of a user from wearable sensors. It is scalable for a large number of sensors, contexts, and situations and allows for online adaptation during run-time. We have developed a wearable platform, that allows to record and process the data from a microphone, 12 body-worn 3D acceleration sensors, and a location estimation. We have evaluated the approach on three different data sets, with a maximal length of two days.

Citation:

Nicky Kern, Stavros Antifakos, Bernt Schiele, Adrian Schwaninger, "A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors," iswc, pp.158-165, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004

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