Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115863
DC FieldValueLanguage
dc.contributorSchool of Designen_US
dc.creatorWu, Len_US
dc.creatorChellappa, Ven_US
dc.creatorLuximon, Yen_US
dc.date.accessioned2025-11-10T06:29:24Z-
dc.date.available2025-11-10T06:29:24Z-
dc.identifier.issn1044-7318en_US
dc.identifier.urihttp://hdl.handle.net/10397/115863-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectArtificial facesen_US
dc.subjectFacial featuresen_US
dc.subjectFacial trustworthinessen_US
dc.subjectSystematic reviewen_US
dc.subjectVirtual environmenten_US
dc.titleFacial trustworthiness in artificial faces : a systematic reviewen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage24en_US
dc.identifier.doi10.1080/10447318.2025.2526589en_US
dcterms.abstractThe perception of trustworthiness in artificial faces is crucial for enhancing user experiences in virtual environments. However, research on the specific factors influencing this perception is limited. Therefore, this study aimed to discover the factors that affect people’s judgment of facial trustworthiness in the virtual world. Twenty-five documents were retrieved from databases, including PsycArticles, PsycInfo, Scopus, the IEEE Xplore digital library, and Web of Science, through a systematic review. Followed by a content analysis, the findings reveal that face features (internal and external), age, gender, participant ethnicity, and experimental measurement methods all shape perceptions of trustworthiness in artificial faces. Based on the findings, the study highlights opportunities for enhancing the perception of trustworthiness in virtual settings, which could provide valuable insights for researchers and highlight critical areas for future exploration in the design of artificial faces, participant selection, and measurement techniques.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal of human-computer interaction, Published online: 10 July 2025, Latest Articles, https://doi.org/10.1080/10447318.2025.2526589en_US
dcterms.isPartOfInternational journal of human-computer interactionen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105010647273-
dc.identifier.eissn1532-7590en_US
dc.description.validate202511 bcwcen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000342/2025-08-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextThe work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. GRF/PolyU 15609523).en_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo2026-07-10en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-07-10
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