Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors

H
HICSS
2004
Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5
Abstract - Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors

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Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5

Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors (PDF)

Big Island, Hawaii

January 05-January 08

ISBN: 0-7695-2056-1

	ASCII Text	x
	Curtis S. Ikehara, David N. Chin, Martha E. Crosby, "Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors," Hawaii International Conference on System Sciences, vol. 5, pp. 50131b, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5, 2004.

	BibTex	x
	@article{ 10.1109/HICSS.2004.1265329, author = {Curtis S. Ikehara and David N. Chin and Martha E. Crosby}, title = {Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors}, journal ={Hawaii International Conference on System Sciences}, volume = {5}, year = {2004}, issn = {1530-1605}, pages = {50131b}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265329}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors SN - 1530-1605 SP EP A1 - Curtis S. Ikehara, A1 - David N. Chin, A1 - Martha E. Crosby, PY - 2004 KW - null VL - 5 JA - Hawaii International Conference on System Sciences ER -

Curtis S. Ikehara, University of Hawaii at Manoa

David N. Chin, University of Hawaii at Manoa

Martha E. Crosby, University of Hawaii at Manoa

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265329

Modeling of the human-computer interaction as a partnership between two systems provides a flexible method of modeling both the quantitative and qualitative requirements of a human-computer interface. A discussion of the components of a system, system structures and system issues are reviewed along with a description of the research model used at the Adaptive Multimodal Interactive Laboratory.

Citation:

Curtis S. Ikehara, David N. Chin, Martha E. Crosby, "Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors," hicss, vol. 5, pp.50131b, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5, 2004

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