Generalisation of Anthropomorphic Stereotype

Debora Zanatto*, Massimiliano Patacchiola, Angelo Cangelosi, Jeremy Goslin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Anthropomorphic projection can bring familiarity, confidence and simplicity to our interactions with unknown agents showing a human-like resemblance or behaviour. This study examined whether this projection is generalised beyond the individual agent to encompass others of similar type, even if they might be lacking the requisite human-like features. In an experiment participants had to accept or reject recommendations from two robots that had more or less human-like forms and behaviours. It was found that participants were more likely to trust the judgements of a less-human like robot if they had previously interacted with an anthropomorphic variant. Importantly, this effect was found to be symmetric, with trust in anthropomorphic robots reduced if participants had previously interacted with a less human-like variant. These results showed that we generalise our initial attributions across agent categories, a finding with potential application in helping trust and acceptance of complex technological agents.

Original languageEnglish
JournalInternational Journal of Social Robotics
Early online date16 Apr 2019
DOIs
Publication statusPublished - 2019

Keywords

  • Anthropomorphism
  • Human–robot interaction
  • Stereotype activation
  • Trust

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