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Anthropomorphizing information to enhance trust in autonomous vehicles
Author(s) -
Niu Dongfang,
Terken Jacques,
Eggen Berry
Publication year - 2018
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/hfm.20745
Subject(s) - perception , computer science , field (mathematics) , psychology , automation , human–computer interaction , social psychology , internet privacy , engineering , mathematics , mechanical engineering , neuroscience , pure mathematics
Trust is an essential condition for accepting and relying on autonomous vehicles. One of the well‐studied factors contributing to trust in automation systems is anthropomorphism. It is expected that anthropomorphism may also enhance trust in the field of autonomous vehicles. A study is presented that investigated the effect of anthropomorphic embodiment for information about the vehicle's maneuvers on people's trust in autonomous vehicles. In a driving simulator experiment deploying a between‐subjects design, participants ( N = 39) were exposed to varying amounts of information displaying upcoming actions of an autonomous vehicle (symbolic information or symbolic + anthropomorphic information). Each group rated trust and liking for the test condition against a reference condition where no information about the upcoming actions was provided through questionnaires. Symbolic + anthropomorphic information resulted in significantly more trust than symbolic information. Through one‐sample tests, it was found that ratings for symbolic + anthropomorphic information were significantly different from no information, while symbolic information by itself was not. Ratings for perceived anthropomorphism were positively correlated with trust and liking. It is concluded that anthropomorphizing information may foster the perception of autonomous vehicles as social agents and enhance trust in those vehicles.