Perceivers' inferences about individuals based on their faces often show high interrater consensus and can even accurately predict behavior in some domains. Here we investigated the consensus and accuracy of judgments of trustworthiness. In Study 1, we showed that the type of photo judged makes a significant difference for whether an individual is judged as trustworthy. In Study 2, we found that inferences of trustworthiness made from the faces of corporate criminals did not differ from inferences made from the faces of noncriminal executives. In Study 3, we found that judgments of trustworthiness did not differ between the faces of military criminals and the faces of military heroes. In Study 4, we tempted undergraduates to cheat on a test. Although we found that judgments of intelligence from the students' faces were related to students' scores on the test and that judgments of students' extraversion were correlated with self-reported extraversion, there was no relationship between judgments of trustworthiness from the students' faces and students' cheating behavior. Finally, in Study 5, we examined the neural correlates of the accuracy of judgments of trustworthiness from faces. Replicating previous research, we found that perceptions of trustworthiness from the faces in Study 4 corresponded to participants' amygdala response. However, we found no relationship between the amygdala response and the targets' actual cheating behavior. These data suggest that judgments of trustworthiness may not be accurate but, rather, reflect subjective impressions for which people show high agreement.
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http://dx.doi.org/10.1037/a0031050 | DOI Listing |
Front Psychol
January 2025
Faculty of Education, Henan Normal University, Xinxiang, China.
Interpersonal trust is the premise and foundation of encouraging cooperation in this age of rapid progress. The purpose of this study was to investigate how moral judgment affects bystanders' interpersonal trust and its internal mechanisms when there are ethical transgressions. The moral judgment of the evaluators was divided into three categories-opposition, neutrality and approval-on the basis of the moral transgressions of the offenders.
View Article and Find Full Text PDFCyberpsychol Behav Soc Netw
January 2025
Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA.
With the rapid advance of technology, human interactions with virtual avatars in simulated social environments are becoming increasingly common. The aim of the current study was to examine users' perception of social traits and emotions of "neutral," expressionless avatars using an open-source collection. These avatars represented different ethnicities, genders, and occupations via visual features including skin tone, facial structure, and apparel.
View Article and Find Full Text PDFHealth Informatics J
December 2024
The University of Queensland, Brisbane, QLD, Australia.
Objective: This study aimed to assess the practicality and trustworthiness of explainable artificial intelligence (XAI) methods used for explaining clinical predictive models.
Methods: Two popular XAIs used for explaining clinical predictive models were evaluated based on their ability to generate domain-appropriate representations, impact clinical workflow, and consistency. Explanations were benchmarked against true clinical deterioration triggers recorded in the data system and agreement was quantified.
Acta Psychol (Amst)
February 2025
School of Social Sciences, Nanyang Technological University, Singapore; LKC Medicine, Nanyang Technological University, Singapore; National Institute of Education, Singapore; Centre for Research and Development in Learning, Nanyang Technological University, Singapore.
Technological advances render the distinction between artificial (e.g., computer-generated faces) and real stimuli increasingly difficult, yet the factors driving our beliefs regarding the nature of ambiguous stimuli remain largely unknown.
View Article and Find Full Text PDFPsychiatr Psychol Law
January 2024
Department of Psychology, Universidad Nacional de Colombia, Bogota, Colombia.
This experiment explored the influence of facial attractiveness and trustworthiness on guilty judgments. We recruited 128 participants, randomly assigned to high and low time pressure conditions to act as judges in a simulated case. Participants judged nine male faces from the Chicago Face Database with three attractiveness levels (unattractive, neutral and attractive), featuring a 2 × 3 mixed factorial design, with consistent standardized average levels of face trustworthiness.
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