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      Cobbler Stick With Your Reads: People's Perceptions of Gendered Robots Performing Gender Stereotypical Tasks

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          Abstract

          Previous research found that robots should best be designed to fit their given task, whilst others identified gender effects in people's evaluations of robots. This study combines this knowledge to investigate stereotyping effects of robot genderedness and assigned tasks in an online experiment (n = 89) manipulating robot gender (male vs. female) and task type (analytical vs. social) in a between subject's design in terms of trust, social perception, and humanness. People deem robots more competent and have higher trust in their capacity when they perform analytical tasks compared to social tasks, independent of the robot's gender. Furthermore, we observed a trend in the data indicating that people seem to dehumanize female robots (regardless of task performed) to animals lacking higher-level mental processes, and additionally that people seem to dehumanize robots to emotionless objects only when gendered robots perform tasks contradicting the stereotypes of their gender.

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          Author and article information

          Journal
          13 April 2021
          Article
          2104.06127
          1a330908-ba9e-4b38-a89d-c41597eba188

          http://creativecommons.org/licenses/by-nc-nd/4.0/

          History
          Custom metadata
          TRAITS/2021/01
          in TRAITS Workshop Proceedings (arXiv:2103.12679) held in conjunction with Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, March 2021, Pages 709-711
          cs.RO cs.HC

          Robotics,Human-computer-interaction
          Robotics, Human-computer-interaction

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