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Robot Gendering: Influences on Trust, Occupational Competency, and Preference of Robot Over Human

Published: 25 April 2020 Publication History

Abstract

This paper presents an investigation into the differences found in participants' comfort levels with using new humanoid robots in addition to the tendency to give a gender to a robot designed to be gender neutral. These factors were used to examine participants' perception of occupational competency, trust, and preference for a humanoid robot over a human male or female for various occupations. Our results suggest that comfort level influences these metrics but does not cause a person to ascribe a gender to a gender-neutral robot. These findings suggest that there is no need to perpetuate societal gender norms onto robots. However, even when designing for robot gender neutrality people are still more likely to ascribe a gender to the robot, but this gendering does not significantly impact occupational judgements.

References

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  • (2023)An Emotional Design Model for Future Smart Product Based on Grounded TheorySystems10.3390/systems1107037711:7(377)Online publication date: 23-Jul-2023
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      cover image ACM Conferences
      CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
      April 2020
      4474 pages
      ISBN:9781450368193
      DOI:10.1145/3334480
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 25 April 2020

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      Author Tags

      1. gender stereotypes
      2. human-robot interaction gendering
      3. human-robot trust
      4. occupational competency
      5. robot gender

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      Cited By

      View all
      • (2024)The Role of Name, Origin, and Voice Accent in a Robot’s Ethnic IdentitySensors10.3390/s2419642124:19(6421)Online publication date: 4-Oct-2024
      • (2024)Autonomy Acceptance Model (AAM): The Role of Autonomy and Risk in Security Robot AcceptanceProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3635005(840-849)Online publication date: 11-Mar-2024
      • (2023)An Emotional Design Model for Future Smart Product Based on Grounded TheorySystems10.3390/systems1107037711:7(377)Online publication date: 23-Jul-2023
      • (2023)"Would I Feel More Secure With a Robot?": Understanding Perceptions of Security Robots in Public SpacesProceedings of the ACM on Human-Computer Interaction10.1145/36101717:CSCW2(1-34)Online publication date: 4-Oct-2023
      • (2023)Service robots in full- and limited-service restaurants: Extending technology acceptance modelJournal of Hospitality and Tourism Management10.1016/j.jhtm.2022.11.00654(10-21)Online publication date: Mar-2023
      • (2023)The Power of Personal Ontologies: Individual Traits Prevail Over Robot Traits in Shaping Robot Humanization PerceptionsInternational Journal of Social Robotics10.1007/s12369-023-01045-615:9-10(1665-1682)Online publication date: 18-Sep-2023
      • (2023)(Counter-)stereotypical Gendering of Robots in Care: Impact on Needs Satisfaction and Gender Role Concepts in Men and Women UsersInternational Journal of Social Robotics10.1007/s12369-023-01033-w15:11(1769-1790)Online publication date: 22-Aug-2023
      • (2023)Face to Face with a Sexist Robot: Investigating How Women React to Sexist Robot BehaviorsInternational Journal of Social Robotics10.1007/s12369-023-01001-415:11(1809-1828)Online publication date: 30-Apr-2023
      • (2022)Neither "Hear" Nor "Their": Interrogating Gender Neutrality in RobotsProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523929(1030-1034)Online publication date: 7-Mar-2022
      • (2022)What Pronouns for Pepper? A Critical Review of Gender/ing in ResearchProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501996(1-15)Online publication date: 29-Apr-2022
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