Evidence map›Paper›PMID 39421816›Full record

ArticleFrontiers in public health2024

Investigating older adults users' willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory.

Chengzhen Wu, Gyoo Gun Lim

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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Chengzhen WuInternational Center for Electronic Commerce, School of Business, Hanyang University, Seoul, Republic of Korea.
Gyoo Gun LimInternational Center for Electronic Commerce, School of Business, Hanyang University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With the continuous advancement of wearable technology, smart wearable devices are increasingly recognized for their value in health monitoring, assessment, and intervention for the older adults, thus promoting intelligent older adults care. This study, based on the theoretical framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Technology Readiness Index (TRI) model, aims to identify and explore the key factors influencing older adults consumers' willingness to adopt smart wearable devices and their impact mechanisms. Method: A questionnaire survey was conducted to collect valid data from 389 older adults respondents. Empirical analysis validated the model's applicability and explored the key factors influencing acceptance. Results: Factors influencing the use of smart wearable devices by the older adults include performance expectancy ( Discussion: The study confirms that integrating the UTAUT2 model and TRI theory effectively explains the acceptance of smart wearable devices among older adults consumers, emphasizing the importance of enhancing digital health literacy in the design and promotion of smart health devices. The findings provide guidance for developers, increasing the acceptance and usage rate of these devices among the older adults.

Indexed as

Wearable Electronic DevicesAgedAged, 80 and overFemaleHumansMaleMiddle AgedModels, TheoreticalMotivationSurveys and Questionnairesbehavioral intentiondigital health literacysmart wearable devicesTechnology Readiness IndexUnified Theory of Acceptance and Use of Technology 2

Identifiers

PMID39421816
PMCPMC11484832

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.