User Satisfaction with Fall Detection Systems in Smart Elderly Care

Abstract

Falls among the elderly pose a growing global challenge, leading to costly injuries and diminished quality of life. Quick fall detection significantly reduces injury severity. Thus, timely innovations like fall detection (FD) systems are crucial. However, FD systems face challenges such as coverage, cost, and privacy concerns, with few studies exploring user experiences. Hence, this study investigates user satisfaction with FD systems, highlighting the benefits and challenges of enhancing elderly care. Three stakeholder groups using RoomMate in Ulstein municipality in Norway were interviewed: healthcare personnel, next-of-kin, and project managers. Our main findings suggest that user satisfaction is generally positive towards FD systems but highlight more challenges in home care services, particularly regarding system coverage. The findings also confirm that usability, personalization, and time savings are critical metrics influencing user satisfaction, aligning with the Updated DeLone & McLean Information Systems Success Model, but providing new insights into the importance of service quality in public sector information systems.