Silicon caregivers: a multilevel analysis of European perspectives on robotic technologies for elderly care

Abstract

As populations age, women's workforce participation grows and AI advances, understanding attitudes towards care technologies becomes increasingly important. This study examines attitudes towards robot caregivers for older adults across 28 European countries, using 2017 Eurobarometer data from working-age adults (20–59; n = 13,839). We investigate how individual characteristics (gender, education, occupation) and local-level factors (GDP, female labour participation, over 65s as % of the population, spending on old age) are associated with comfort levels with domestic care robots. The results show that men, individuals with higher levels of educational attainment, and those in professional or managerial occupations report greater comfort with robot caregivers. Additionally, local context plays a significant role. Those living in local communities with higher female employment rates and lower spending on old-age support demonstrate higher acceptance of robotic care solutions. These findings highlight the dual influence of individual and community factors in shaping attitudes towards automated care technologies.