Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115863
Title: Facial trustworthiness in artificial faces : a systematic review
Authors: Wu, L 
Chellappa, V 
Luximon, Y 
Issue Date: 2025
Source: International journal of human-computer interaction, Published online: 10 July 2025, Latest Articles, https://doi.org/10.1080/10447318.2025.2526589
Abstract: The 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.
Keywords: Artificial faces
Facial features
Facial trustworthiness
Systematic review
Virtual environment
Publisher: Taylor & Francis
Journal: International journal of human-computer interaction 
ISSN: 1044-7318
EISSN: 1532-7590
DOI: 10.1080/10447318.2025.2526589
Appears in Collections:Journal/Magazine Article

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