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As social and socially assistive robots are becoming more prevalent in oursociety, it is beneficial to understand how people form first impressions ofthem and eventually come to trust and accept them. This paper describes anAmazon Mechanical Turk study (n = 239) that investigated trust and itsantecedents trustworthiness and first impressions. Participants evaluated thesocial robot Pepper's warmth and competence as well as trustworthinesscharacteristics ability, benevolence and integrity followed by their trust inand intention to use the robot. Mediation analyses assessed to what degreeparticipants' first impressions affected their willingness to trust and use it.Known constructs from user acceptance and trust research were introduced toexplain the pathways in which one perception predicted the next. Results showedthat trustworthiness and trust, in serial, mediated the relationship betweenfirst impressions and behavioral intention.

The Effect of Trust and its Antecedents on Robot Acceptance