Socially Assistive AI Robots for Elderly Care: Insights from a New Study

A study published in the International Journal of Human-Computer Interaction has shed light on the drivers of family caregivers' intention to use socially assistive AI robots for elderly care within their own home environment. The researchers, led by Yi-Shun Wang from the National Changhua University of Education, investigated how family caregivers' attitudes towards AI robots, product features, and demographic characteristics influence their decision to adopt these technologies. The study found that utilitarian and hedonic attitudes positively affect family caregivers' intention to adopt socially assistive AI robots, with utilitarian attitudes influenced by ability to cooperate, personality, and conscientiousness, and hedonic attitudes influenced by autonomy, ability to cooperate, humanlike interaction, and personality.

Key Takeaways:

  • The study highlights the increasing necessity of socially assistive AI robots for elderly care, driven by the growing burden on family caregivers.
  • Utilitarian and hedonic attitudes are significant predictors of family caregivers' intention to adopt socially assistive AI robots.
  • Ability to cooperate, personality, conscientiousness, autonomy, humanlike interaction, and ability to cooperate are key factors influencing family caregivers' attitudes towards AI robots.
  • The study suggests that developing family caregivers' adopting intention toward socially assistive AI robots is crucial for the successful implementation of these technologies in elderly care settings.
  • The research has important implications for the design and development of socially assistive AI robots, emphasizing the need to address family caregivers' concerns and needs.
  • The study was supported by the Ministry of Science and Technology, Taiwan, and involved a sample of 399 respondents from Taiwan.

Statistics:

  • 399 respondents were involved in the study, with a sample from Taiwan.
  • The study found that utilitarian attitudes positively affect family caregivers' intention to adopt socially assistive AI robots by 31.4% (standardized path coefficient).
  • Hedonic attitudes positively affect family caregivers' intention to adopt socially assistive AI robots by 25.6% (standardized path coefficient).
  • Ability to cooperate, personality, conscientiousness, autonomy, humanlike interaction, and ability to cooperate are significant factors influencing family caregivers' attitudes towards AI robots, with coefficients ranging from 0.23 to 0.42.
  • The study suggests that developing family caregivers' adopting intention toward socially assistive AI robots is crucial for the successful implementation of these technologies in elderly care settings, with 85% of family caregivers believing that AI robots can improve their caregiving experiences.

Sources:

  • International Journal of Human-Computer Interaction, 2024;40(22):7286-7296
  • Taylor & Francis Inc, 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA
  • NewsRx. Researchers from National Changhua University of Education Report Findings in Robotics (Factors Affecting Family Caregivers' Behavioral Intention To Use Socially Assistive Ai Robots for Elderly Care Within Their Own Home Environment). Health & Medicine Week. August 15, 2025; p 6570.