An EPIC cognitive-architectural account of spatial separation effects in two-channel listening tasks

David E. Kieras; Gregory H. Wakefield; Douglas S. Brungart; Brian D. Simpson

doi:10.1177/1541931213601158

An EPIC cognitive-architectural account of spatial separation effects in two-channel listening tasks

David E. Kieras, Gregory H. Wakefield, Douglas S. Brungart, Brian D. Simpson

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

An important application of cognitive architectures is to provide human performance models that capture psychological mechanisms in a form that can be "programmed" to predict task performance of humanmachine system designs. Earlier models accounted for some key aspects of performance in a two-talker task, but spatial separation of the speech sources produces complex effects not yet represented. Adding some first-principle mechanisms to the earlier models suggests that this fundamental aspect of multi-talker speech perception can be accounted for as well.

Original language	English
Pages (from-to)	686-690
Number of pages	5
Journal	Proceedings of the Human Factors and Ergonomics Society
DOIs	https://doi.org/10.1177/1541931213601158
State	Published - 2016
Externally published	Yes
Event	Human Factors and Ergonomics Society 2016 International Annual Meeting, HFES 2016 - Washington, United States Duration: 19 Sep 2016 → 23 Sep 2016

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ER -

An EPIC cognitive-architectural account of spatial separation effects in two-channel listening tasks

Abstract

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