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{ "pk": 25710, "title": "The Attentional Learning Trap and How to Avoid It", "subtitle": null, "abstract": "People often make repeated decisions from experience. In such\nscenarios, persistent biases of choice can develop, most notably\nthe “hot stove effect” (Denrell & March, 2001) in which\na prospect that is mistakenly believed to be negative is avoided\nand thus belief-correcting information is never obtained. In\nthe existing literature, the hot stove effect is generally thought\nof as developing through interaction with a single, stochastic\nprospect. Here, we show how a similar bias can develop due to\npeople’s tendency to selectively attend to a subset of features\nduring categorization. We first explore the bias through model\nsimulation, then report on an experiment in which we find evidence\nof a decisional bias linked to selective attention. Finally,\nwe use these computational models to design novel interventions\nto “de-bias” decision-makers, some of which may have\npractical application", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "decision-making" }, { "word": "Categorization" }, { "word": "selective attention" }, { "word": "approach-avoid behavior" }, { "word": "biases" }, { "word": "learning traps" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/5sc236bz", "frozenauthors": [ { "first_name": "Alexander", "middle_name": "S", "last_name": "Rich", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Todd", "middle_name": "M", "last_name": "Gureckis", "name_suffix": "", "institution": "New York University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25710/galley/15334/download/" } ] }