Decision-making factors toward the adoption of smart home sensors by older adults in Singapore: mixed methods study

• Main Authors: Cao, Yuanyuan, Erdt, Mojisola, Robert, Caroline, Nurhazimah Binte Naharudin, Lee, Shan Qi, Theng, Yin-Leng
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2023
• Subjects: Social sciences::Communication; Aging in Place; Telehealth; Health Care Systems and Management; Assistive Technology; Assisted Living Facilities
• Online Access: https://hdl.handle.net/10356/164226
• Institution: Nanyang Technological University

Background: An increasing aging population has become a pressing problem in many countries. Smart systems and intelligent technologies support aging in place, thereby alleviating the strain on health care systems. Objective: This study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore. Methods: The study involved 3 phases: as an intervention, SHS were installed in older adults’ homes (N=42) for 4 to 5 weeks; in-depth semistructured interviews were conducted with 18 older adults, 2 center managers, 1 family caregiver, and 1 volunteer to understand the factors involved in the decision-making process toward adoption of SHS; and follow-up feedback was collected from 42 older adult participants to understand the reasons for adopting or not adopting SHS. Results: Of the 42 participants, 31 (74%) adopted SHS after the intervention, whereas 11 (26%) did not adopt SHS. The reasons for not adopting SHS ranged from privacy concerns to a lack of family support. Some participants did not fully understand SHS functionality and did not perceive the benefits of using SHS. From the interviews, we found that the decision-making process toward the adoption of SHS technology involved intrinsic factors, such as understanding the technology and perceiving its usefulness and benefits, and more extrinsic factors, such as considering affordability and care support from the community. Conclusions: We found that training and a strong support ecosystem could empower older adults in their decision to adopt technology. We advise the consideration of human values and involvement of older adults in the design process to build user-centric assistive technology.