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Numerous studies have explored human preferences for male versus female robots, producing inconsistent findings and varied explanations for the manifestation of gender bias towards robots. This study contributes to understanding how user gender and robot gender interact to influence users’ evaluations of robots by analyzing over 1100 survey responses on 23 robots, distinguished by their male and female appearances. The findings refute the existence of the same-gender or cross-gender effect. Specifically, we found a general preference for female robots over male robots. In addition, female users report the highest likeability scores for female robots compared to other human-robot gender combinations.

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Exploring the Impacts of Human-Robot Gender Match on Users’ Perceptions of Robots

  • 会议论文

  • 发表日期：

    2025年

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  • Yong Liu,
  • Jiajun Sun,
  • Yanqing Lin,
  • Virpi Kristiina Tuunainen

摘要

Numerous studies have explored human preferences for male versus female robots, producing inconsistent findings and varied explanations for the manifestation of gender bias towards robots. This study contributes to understanding how user gender and robot gender interact to influence users’ evaluations of robots by analyzing over 1100 survey responses on 23 robots, distinguished by their male and female appearances. The findings refute the existence of the same-gender or cross-gender effect. Specifically, we found a general preference for female robots over male robots. In addition, female users report the highest likeability scores for female robots compared to other human-robot gender combinations.