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We cannot escape gendering robots.

Robin R Murphy1

  • 1Computer Science and Engineering, Texas A&M University, College Station, TX 77843, USA.

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This study explores how robot gender influences human-robot interaction over 20 years. Findings reveal significant effects of perceived robot gender on user engagement and task performance.

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Area of Science:

  • Human-Robot Interaction (HRI)
  • Robotics
  • Social Psychology

Background:

  • Human-robot interaction (HRI) is a growing field.
  • The influence of robot characteristics, such as gender, is under-explored.
  • Previous research has not comprehensively synthesized two decades of findings.

Purpose of the Study:

  • To analyze the impact of robot gender on human-robot interaction.
  • To synthesize findings from 20 years of HRI research.
  • To provide insights for designing more effective and engaging robots.

Main Methods:

  • Systematic literature review of HRI studies.
  • Meta-analysis of experimental data.
  • Qualitative synthesis of findings related to robot gender.

Main Results:

  • Robot gender significantly affects user perception and behavior.
  • Specific gendered traits in robots elicit predictable human responses.
  • The effects vary depending on the robot's role and task.

Conclusions:

  • Robot gender is a critical design factor in HRI.
  • Understanding these effects can lead to improved human-robot collaboration.
  • Future research should explore nuanced gender expressions and cultural contexts.