An EPIC Cognitive-Architectural Account of Spatial Separation Effects in Two-channel Listening Tasks
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 human-machine system designs. Earlier models accounted for some key aspects of performance in a two-talke...
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| Veröffentlicht in: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2016-09, Vol.60 (1), p.686-690 |
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| container_title | Proceedings of the Human Factors and Ergonomics Society Annual Meeting |
| container_volume | 60 |
| creator | Kieras, David E. Wakefield, Gregory H. Brungart, Douglas S. Simpson, Brian D. |
| description | 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 human-machine 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. |
| doi_str_mv | 10.1177/1541931213601158 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 2169-5067 |
| ispartof | Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2016-09, Vol.60 (1), p.686-690 |
| issn | 2169-5067 1071-1813 2169-5067 |
| language | eng |
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| source | SAGE Complete A-Z List |
| title | An EPIC Cognitive-Architectural Account of Spatial Separation Effects in Two-channel Listening Tasks |
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