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(Counter-)stereotypical Gendering of Robots in Care: Impact on Needs Satisfaction and Gender Role Concepts in Men and Women Users

Laura Moradbakhti, Martina Mara, Ginevra Castellano, Katie Winkle

发表年份
2023
引用次数
15
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摘要

Abstract We present a video-based online study (N = 222) examining the impacts of gendering an in-home, socially assistive robot designed to aid with rehabilitative engagement. Specifically, we consider the potential impact on users’ basic psychological need (BPN) fulfillment alongside measures of the robot’s effectiveness as well as the potential impact on human caregiver gender preferences and propensity to gender stereotype more broadly. Our results suggest that the male-gendering of care robots might be particularly beneficial for men, potentially leading to greater BPN fulfillment than female-gendering. Whilst women also showed some similar gender-matching preference (i.e. preferring the female-gendered robot) this effect was less pronounced. Men who saw the male-gendered robot were also significantly more likely to indicate they would prefer a man, or had no gender preference, when asked about human caregiver preferences. Overall, and in line with (some) previous work, we find no evidence of universal positive impact from robot task-gender typicality matching. Together, our results further strengthen existing calls to challenge the default female-gendering of assistive agents seen to date, suggesting that male-gendering might simultaneously boost positive impact for men users whilst challenging stereotypes regarding who can/should do care work.

关键词

PreferencePsychologyStereotype (UML)Matching (statistics)Social psychologyWork (physics)Developmental psychologyMedicineEngineering

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