{"pk":28787,"title":"Attentional Capture: Modeling Automatic Mechanisms and Top-Down Control","subtitle":null,"abstract":"We present a computational model of attentional capture inhumans. The model distinguishes between automatic mecha-nisms that directly determine the focus of visual attention, anddeliberate mental actions an individual can perform to influ-ence these mechanisms. The automatic mechanisms select anobject as the focus of attention and enhance its location andfeatures, so that nearby or similar objects are likely to be se-lected in the future. The deliberate actions include engagingwith a selected object to further enhance its features, and re-trieving a previously selected object from memory. By per-forming these actions, the model is able to exert limited top-down control over capture, increasing the probability that task-relevant objects will be attended and irrelevant objects will beignored. To evaluate the model, we conduct a simulation of arecent visual search study, demonstrating that the model canaccount for three established factors that are known to influ-ence capture.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"visual attention; visual search; computationalmodeling"}],"section":"Papers with Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/682695zd","frozenauthors":[{"first_name":"Andrew","middle_name":"","last_name":"Lovett","name_suffix":"","institution":"U.S. Naval Research Laboratory","department":""},{"first_name":"Will","middle_name":"","last_name":"Bridewell","name_suffix":"","institution":"U.S. Naval Research Laboratory","department":""},{"first_name":"Paul","middle_name":"","last_name":"Bello","name_suffix":"","institution":"U.S. Naval Research Laboratory","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28787/galley/18658/download/"}]}