People’s Perceptions of Gendered Robots Performing Gender Stereotypical Tasks

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

HRI research shows that people prefer robot appearances that fit their given task but also identify stereotypical social perceptions of robots caused by a gendered appearance. This study investigates stereotyping effects of both robot genderdness (male vs. female) and assigned task (analytical vs. social) on people’s evaluations of trust, social perception, and humanness in an online vignette study (n = 89) with a between subject’s design. People deem robots more competent and receive higher capacity trust when they perform analytical tasks compared to social tasks, independent of the robot’s gender. An observed trend in the data implies a tendency to dehumanize robots as an effect of their gendered appearance, sometimes as an interaction effect with performed task when this contradicts gender stereotypical expectations. Our results stress further exploration of robot gender by varying gender cues and considering alternative task descriptions, as well as highlight potential new directions in studying human misconduct towards robots.
Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings
EditorsHaizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Perez-Osorio
PublisherSpringer
Pages24-35
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science
Volume13086
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Social robots
  • Gender stereotypes
  • Social perception
  • Dehumanization
  • Trust

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