Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89037
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dc.contributorSchool of Design-
dc.creatorSong, Y-
dc.creatorLuximon, Y-
dc.date.accessioned2021-01-15T07:15:02Z-
dc.date.available2021-01-15T07:15:02Z-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10397/89037-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Song Y, Luximon Y. Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design. Sensors. 2020; 20(18):5087, is available at https://doi.org/10.3390/s20185087en_US
dc.subjectAi agenten_US
dc.subjectFacial anthropomorphic trustworthinessen_US
dc.subjectFacial featuresen_US
dc.subjectHuman-Robot interactionen_US
dc.subjectSocial roboten_US
dc.titleTrust in AI agent : a systematic review of facial anthropomorphic trustworthiness for social robot designen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage21-
dc.identifier.volume20-
dc.identifier.issue18-
dc.identifier.doi10.3390/s20185087-
dcterms.abstractAs an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors (Switzerland), 2020, v. 20, no. 18, 5087, p. 1-21-
dcterms.isPartOfSensors (Switzerland)-
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85090816729-
dc.identifier.pmid32906760-
dc.identifier.artn5087-
dc.description.validate202101 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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