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{ "pk": 29925, "title": "Calibrating Trust in Autonomous Systems in a Dynamic Environment", "subtitle": null, "abstract": "Appropriately calibrating trust in autonomous systems is es-sential for successful collaboration between humans and thesystems. Over-trust and under-trust often happen in dynami-cally changing environments, and they can be major causes ofserious issues with safety and efficiency. Many studies haveexamined the role of continuous system transparency in keep-ing proper trust calibration; however, not many studies havefocused on how to find poor trust calibration nor how to miti-gate it. In our proposed method of trust calibration, a behavior-based approach is used to detect improper trust calibration, andcognitive cues called “trust calibration cues” are presented tousers as triggers for trust calibration. We conducted an on-line experiment with a drone simulator. Seventy participantsperformed pothole inspection tasks manually or relied on thedrone’s automatic inspection. The results demonstrated thatadaptively presenting a simple cue could significantly promotetrust calibration in both over-trust and under-trust cases.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Trust Management" }, { "word": "Trust Calibration" } ], "section": "Poster Session 3", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7p5243h9", "frozenauthors": [ { "first_name": "Kazuo", "middle_name": "", "last_name": "Okamura", "name_suffix": "", "institution": "The Graduate University for Advanced Studies, SOKENDAI", "department": "" }, { "first_name": "Seiji", "middle_name": "", "last_name": "Yamada", "name_suffix": "", "institution": "National Institute of Informatics and SOKENDAI", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2020-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29925/galley/19779/download/" } ] }