Latent Profile Analysis of Patients' Acceptance of Companion Robots in Unaccompanied Wards: A Cross-sectional Study
This cross-sectional study of 425 inpatients in China utilized latent profile analysis to identify three distinct acceptance profiles for companion robots in unaccompanied wards, revealing that older age, lower socioeconomic status, insufficient social support, low self-efficacy, and negative robot perceptions are key predictors of low acceptance, thereby highlighting the need for stratified health education and optimized robot design.