Papers
5
Total Citations
192
H-Index
4
About
Nina Castro is a leading researcher at the intersection of artificial intelligence, robotics, and gerontology, whose work focuses on developing culturally competent socially assistive robots (SARs) for older adult care. Her primary research areas include human-robot interaction, culturally adaptive AI, and the ethical deployment of technology in long-term care settings. Castro’s most significant contribution is the CARESSES project, culminating in a landmark 2021 randomized controlled trial (101 citations) that demonstrated how culturally competent AI embedded in social robots can improve health-related outcomes for older adults in care homes. This work, supported by her detailed study protocol (46 citations), represents one of the first rigorous experimental validations of culturally adaptive robotics. Beyond technical development, Castro has advanced the field through qualitative research exploring care home workers’ training needs (28 citations) and by championing case-based ethics training for SAR deployment (14 citations). Her pioneering approach—integrating cultural sensitivity into robotic design and evaluation—has established new standards for human-centered AI in healthcare, making her work essential reading for researchers developing assistive technologies for diverse aging populations.
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