TY - JOUR
T1 - An EPIC cognitive-architectural account of spatial separation effects in two-channel listening tasks
AU - Kieras, David E.
AU - Wakefield, Gregory H.
AU - Brungart, Douglas S.
AU - Simpson, Brian D.
N1 - Publisher Copyright:
Copyright 2016 by Human Factors and Ergonomics Society.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85021822295&partnerID=8YFLogxK
U2 - 10.1177/1541931213601158
DO - 10.1177/1541931213601158
M3 - Conference article
AN - SCOPUS:85021822295
SN - 1071-1813
SP - 686
EP - 690
JO - Proceedings of the Human Factors and Ergonomics Society
JF - Proceedings of the Human Factors and Ergonomics Society
T2 - Human Factors and Ergonomics Society 2016 International Annual Meeting, HFES 2016
Y2 - 19 September 2016 through 23 September 2016
ER -