JMIR Aging (Jun 2022)

Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study

  • Yuanyuan Cao,
  • Mojisola Erdt,
  • Caroline Robert,
  • Nurhazimah Binte Naharudin,
  • Shan Qi Lee,
  • Yin-Leng Theng

DOI
https://doi.org/10.2196/34239
Journal volume & issue
Vol. 5, no. 2
p. e34239

Abstract

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BackgroundAn 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. ObjectiveThis study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore. MethodsThe 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. ResultsOf 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. ConclusionsWe 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.