{"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":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29925/galley/19779/download/"}]}