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Selection, Engagement, & Enhancement: A Framework for Modeling Visual Attention
- Source :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 43, iss 43
- Publication Year :
- 2021
-
Abstract
- This paper presents a theoretical framework for modeling human visual attention. The framework's core claim is that three mechanisms drive attention: selection, which picks out an item for further processing; engagement, which tags a selected item as relevant or irrelevant to the current task; and enhancement, which increases sensitivity to task-relevant items and decreases sensitivity to task-irrelevant items. Building on these mechanisms, the framework is able to explain human performance on attentionally demanding tasks like visual search and multiple object tracking, and it supports a broad range of predictions about the interactions between such tasks.
Details
- Database :
- OAIster
- Journal :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 43, iss 43
- Notes :
- Lovett, Andrew, Bridewell, Will, Bello, Paul
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1367508772
- Document Type :
- Electronic Resource