Survey on the acceptance of smart cars amongst middle-aged and elderly in China

Zeng, Fangui; Li, Lingzhe; Wang, Mengmeng; Cai, Siqi

doi:10.1016/j.techsoc.2023.102234

“…Examples of investigated technologies include mHealth services (Alam et (Wang et al, 2020), exergames (Xu et al, 2023) and smart home healthcare services (Kang et al, 2022). Studied demographics are older persons (Alexandrakis et al, 2020;Palas et al, 2022;Xu et al, 2023;Zeng et al, 2023), healthcare professionals (Ketikidis et al, 2012) and informal caregivers for people with dementia (Wójcik et al, 2021), among others. Many of these studies have con rmed the validity of the two models, yet also discussed factors outside of these models that may in uence acceptance (Paccoud et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Informing existing Technology Acceptance Models: A qualitative Study with older Persons and Caregivers

Felber,

Lipworth,

Tian

et al. 2023

Preprint

1

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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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Evaluating User Experience for Intelligent Connected Vehicles: A Qualitative Study

He,

Zhang,

Zhang

et al. 2024

Engineering Psychology and Cognitive Ergonomics

0

View full text Add to dashboard Cite

Informing existing technology acceptance models: a qualitative study with older persons and caregivers

Felber,

Lipworth,

Tian

et al. 2024

View full text Add to dashboard Cite

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.

show abstract

Survey on the acceptance of smart cars amongst middle-aged and elderly in China

Cited by 5 publications

References 66 publications

Informing existing Technology Acceptance Models: A qualitative Study with older Persons and Caregivers

Informing existing Technology Acceptance Models: A qualitative Study with older Persons and Caregivers

Evaluating User Experience for Intelligent Connected Vehicles: A Qualitative Study

Informing existing technology acceptance models: a qualitative study with older persons and caregivers

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