Inferences About Avatars: Sexism, Appropriateness, Anthropomorphism, and the Objectification of Female Virtual Representations

摘要: This study integrated the computers as social actors CASA framework with objectification theory to predict that traits, such sexism, influence perceptions of virtual representations well attributions source and message. Participants N = 397 received a message about dating or job interviews presented by woman in either context-appropriate context-inappropriate dress. Causal modeling techniques revealed participants higher on sexism rated less human i.e., anthropomorphic credible. Further, perceived appropriateness clothing anthropomorphism influenced trust clarity. Implications for understanding role trait variables are discussed.