Health monitoring through wearable technologies for older adults: Smart wearables acceptance model

  • Junde Li*
  • , Qi Ma
  • , Alan HS Chan
  • , S. S. Man
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In the context of a fast aging population, ubiquitous usage of smart wearable systems can alleviate the social burden caused by the increasing need of older adults for healthcare and assistance. To facilitate and encourage the use of smart wearable systems among older adults, this study investigated the factors that contribute to the acceptance of such systems, and smart wearables acceptance model for older adults was developed using structural equation modeling. The model was validated using 146 survey samples collected from adults aged 60 years and above. The results indicated that perceived usefulness, compatibility, facilitating conditions, and self-reported health status significantly and positively affect older adults’ intention to use such technologies. Useful implications and insights were provided to future researchers and practitioners to enhance older adults’ acceptance of smart wearable systems.

Original languageEnglish
Pages (from-to)162-169
Number of pages8
JournalApplied Ergonomics
Volume75
DOIs
StatePublished - Feb 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Health monitoring
  • Older adults
  • Smart wearable systems
  • Technology acceptance
  • Telehealth

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