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.
|Number of pages||5|
|Journal||Proceedings of the Human Factors and Ergonomics Society|
|State||Published - 2016|
|Event||Human Factors and Ergonomics Society 2016 International Annual Meeting, HFES 2016 - Washington, United States|
Duration: 19 Sep 2016 → 23 Sep 2016