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{ "pk": 49899, "title": "When Seating Matters: Modeling Graded Social Attitudes as Bayesian Inference", "subtitle": null, "abstract": "Humans can quickly infer social relationships from minimal cues, such as where people choose to sit in a meeting room. We investigated how people make graded, context-sensitive judgments about social attitudes beyond simple proximity-based heuristics. Using controlled seating scenarios, we compared participants' judgments to the predictions of Bayesian models: the interaction-probability model, which captures how one person's seat choice affects the probability that another person will initiate the conversation, and the interaction-cost model, which accounts for the effort required based on how far apart they sit from each other. Results showed that participants' inferences aligned best with the interaction-cost model, indicating sensitivity to effort and moving trajectory, rather than relying solely on proximity. Our findings suggest that higher-order cognition refines perceptual cues, enabling nuanced, graded social reasoning essential for complex social interactions.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Psychology; Social cognition; Theory of Mind; Bayesian modeling; Computational Modeling; Symbolic computational modeling" } ], "section": "Papers with Poster Presentation", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/10d930rk", "frozenauthors": [ { "first_name": "Zihan", "middle_name": "", "last_name": "Wang", "name_suffix": "", "institution": "Yale University", "department": "" }, { "first_name": "Julian", "middle_name": "", "last_name": "Jara-Ettinger", "name_suffix": "", "institution": "Yale University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2025-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49899/galley/37861/download/" } ] }