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dc.contributor.authorChien, S. Y.
dc.contributor.authorLewis, M.
dc.contributor.authorSycara, K.
dc.contributor.authorKumru, Asiye
dc.contributor.authorLiu, J. S.
dc.date.accessioned2020-11-30T08:09:03Z
dc.date.available2020-11-30T08:09:03Z
dc.date.issued2020-06
dc.identifier.issn2168-2291en_US
dc.identifier.urihttp://hdl.handle.net/10679/7153
dc.identifier.urihttps://ieeexplore.ieee.org/document/8836099
dc.description.abstractThe reported study compares groups of 120 participants each, from the United States (U.S.), Taiwan (TW), and Turkey (TK), interacting with versions of an automated path planner that vary in transparency and degree of automation. The nationalities were selected in accordance with the theory of cultural syndromes as representatives of Dignity (U.S.), Face (TW), and Honor (TK) cultures, and were predicted to differ in readiness to trust automation, degree of transparency required to use automation, and willingness to use systems with high degrees of automation. Three experimental conditions were tested. In the first, highlight, path conflicts were highlighted leaving rerouting to the participant. In the second, replanner made requests for permission to reroute when a path conflict was detected. The third combined condition increased transparency of the replanner by combining highlighting with rerouting to make the conflict on which decision was based visible to the user. A novel framework relating transparency, stages of automation, and trust in automation is proposed in which transparency plays a primary role in decisions to use automation but is supplemented by trust where there is insufficient information otherwise. Hypothesized cultural effects and framework predictions were confirmed.en_US
dc.description.sponsorshipUnited States Department of Defense Air Force Office of Scientific Research (AFOSR)
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Human-Machine Systems
dc.rightsrestrictedAccess
dc.titleInfluence of culture, transparency, trust, and degree of automation on automation useen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-1514-4248 & YÖK ID 127458) Kumru, Asiye
dc.contributor.ozuauthorKumru, Asiye
dc.identifier.volume50en_US
dc.identifier.issue3en_US
dc.identifier.startpage205en_US
dc.identifier.endpage214en_US
dc.identifier.wosWOS:000538155900003
dc.identifier.doi10.1109/THMS.2019.2931755en_US
dc.subject.keywordsAutomationen_US
dc.subject.keywordsThermostatsen_US
dc.subject.keywordsCultural differencesen_US
dc.subject.keywordsFaceen_US
dc.subject.keywordsFurnacesen_US
dc.subject.keywordsTask analysisen_US
dc.subject.keywordsTemperature measurementen_US
dc.subject.keywordsAutomation transparencyen_US
dc.subject.keywordsCultural differencesen_US
dc.subject.keywordsDegree of automation (DOA)en_US
dc.subject.keywordsTrust in automationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85072510952
dc.contributor.authorFemale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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