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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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