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Informing existing technology acceptance models: a qualitative study with older persons and caregivers.
Felber, Nadine Andrea; Lipworth, Wendy; Tian, Yi Jiao Angelina; Roulet Schwab, Delphine; Wangmo, Tenzin.
Afiliación
  • Felber NA; Institute of Biomedical Ethics, Faculty of Medicine, University of Basel, Bernoullistrasse 28, 4056, Basel, Switzerland. Nadine.felber@unibas.ch.
  • Lipworth W; Department of Philosophy, Macquarie University, 25B Wally's Walk, Sydney, NSW, 2109, Australia. Nadine.felber@unibas.ch.
  • Tian YJA; Department of Philosophy, Macquarie University, 25B Wally's Walk, Sydney, NSW, 2109, Australia. wendy.lipworth@mq.edu.au.
  • Roulet Schwab D; Institute of Biomedical Ethics, Faculty of Medicine, University of Basel, Bernoullistrasse 28, 4056, Basel, Switzerland.
  • Wangmo T; La Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts of Western Switzerland, Lausanne, Switzerland.
Eur J Ageing ; 21(1): 12, 2024 Mar 29.
Article en En | MEDLINE | ID: mdl-38551677
ABSTRACT
New technologies can help older persons age in place and support their caregivers. However, they need to be accepted by the end-users to do so. Technology acceptance models, such as TAM and UTAUT and their extensions, use factors like performance expectancy and effort expectancy to explain acceptance. Furthermore, they are based on quantitative methods. Our qualitative study investigates factors fostering and hindering acceptance among older persons and their caregivers for a variety of assistive technologies, including wearables, ambient sensors at home with and without cameras and social companion robots. The goal of this paper is twofold On the one hand, it investigates the factors of technology acceptance models in a qualitative setting. On the other hand, it informs these models with aspects currently overlooked by them. The results reveal that performance expectancy and effort expectancy are relevant for acceptance. We also find that reliability, anxiety around technology and different social aspects have an influence on acceptance of assistive technology in aged care for all end-user groups. Our findings can be used to update current technology acceptance models and provide in-depth knowledge about the currently used factors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur J Ageing Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur J Ageing Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Alemania