Familiar faces : trust in facially similar agents

F.M.F. Verberne, J.R.C. Ham, C.J.H. Midden

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Abstract

Previous research has shown that we recognize our trustworthy selves easier than our non-trustworthy selves. In the current research, we investigated whether people trust a virtual agent that resembles them more than a facially dissimilar agent. In an experiment, we presented participants with either a facially similar or a facially dissimilar agent. Trust was measured with questionnaires and with three different behavioral measures. Results suggest that participants liked and trusted a facially similar agent more than a facially dissimilar agent. The increase in liking and trust was due to self-other overlap. However, on the behavioral measures, they did not make more risky choices. Facial similarity can therefore serve as a cue to increase trustworthiness, but future research should focus on how to change trust behavior.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMS), 5-9 May 2014, Paris, France
PublisherSpringer
Pages1-12
Publication statusPublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems - St. Pual, United States
Duration: 6 May 201310 May 2013

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS'13
CountryUnited States
CitySt. Pual
Period6/05/1310/05/13

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