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A multi-level analysis of the effects of age and gender stereotypes on trust in anthropomorphic technology by younger and older adults
Authors:Richard Pak  Anne Collins McLaughlin  Brock Bass
Affiliation:1. Department of Psychology, Clemson University, Clemson, USA;2. Department of Psychology, North Carolina State University, Raleigh, USA
Abstract:Previous research has shown that gender stereotypes, elicited by the appearance of the anthropomorphic technology, can alter perceptions of system reliability. The current study examined whether stereotypes about the perceived age and gender of anthropomorphic technology interacted with reliability to affect trust in such technology. Participants included a cross-section of younger and older adults. Through a factorial survey, participants responded to health-related vignettes containing anthropomorphic technology with a specific age, gender, and level of past reliability by rating their trust in the system. Trust in the technology was affected by the age and gender of the user as well as its appearance and reliability. Perceptions of anthropomorphic technology can be affected by pre-existing stereotypes about the capability of a specific age or gender.
Keywords:automation  trust  aging  stereotypes  mobile  health
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