Applying Data Mining to Predict Perceived Benefits Risks of Robotics at Home for Dementia Caregiving Among African American Families.

Abstract

We used data mining to predict the attitudes of 527 caregivers towards the pros and cons of using robotics and artificial intelligence (AI) for dementia care in African American families, with a focus on family-level factors. African American family caregivers would prefer using AI home attendant for caregiving, even though there are associated costs, and see the benefits of using AI robots to improve family dynamics, despite the need for the AI to collect sensitive data. In contrast, white family caregivers aged 25-34 are more likely to perceive the risks of using AI robots for this purpose. The proposed AI smart home system evaluates care quality and assists families in nursing home decisions. However, specific groups are hesitant to embrace its benefits. This highlights the need for in-depth research to address concerns and communicate potential advantages effectively.