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

Author:

Moradbakhti Laura,Mara Martina,Castellano Ginevra,Winkle Katie

Abstract

AbstractWe 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.

Funder

Johannes Kepler University Linz

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Human-Computer Interaction,Philosophy,Electrical and Electronic Engineering,Control and Systems Engineering,Social Psychology

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