Exploring factors affecting the acceptance of fall detection technology among older adults and their families: a content analysis
This study identifies seven key factors influencing the adoption of fall detection technology among older adults and their families. The conclusion highlights the need to address these factors to encourage adoption, advocating for user-centered, safe, and affordable technology. This research provides valuable insights for the development of fall detection technology, aiming to enhance the safety of older adults and reduce the caregiving burden.
Authors
- Peng-Ting Chen (ORCID: https://orcid.org/0000-0002-7758-5399)
- Sheng‐Yu Fan (ORCID: https://orcid.org/0000-0001-7932-2405)
- Pi‐Shan Sung
- Chih‐Lung Lin
- Chien‐Hsu Chen (ORCID: https://orcid.org/0000-0002-1046-949X)
- Ming-Hao Chang
- Hsin-Hsiung Huang
Institutions
- National Cheng Kung University Hospital (TW)
- National Cheng Kung University (TW)
Publication Details
- Journal
- BMC Geriatrics
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1186/s12877-024-05262-0
- Citations
- 8
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.99
Funders
- National Science Council
- Ministry of Education, India
- National Cheng Kung University
- Medical Device Innovation Center
- National Science and Technology Council