User acceptance of wearable intelligent medical devices through a modified unified theory of acceptance and use of technology

Zheng Yin · Jiayu Yan · Demin Han

31 citations0/0 files storedAnnals of Translational Medicine

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Mobile Health and mHealth Applications Health, Technology, Consumer Behavior

Abstract

Background: The acceptance of wearable intelligent medical devices and the factors influencing behavioral intention to use them have been scarcely studied. This study aimed to increase the current understanding of wearable intelligent medical devices and investigate the factors influencing their acceptance. Methods: Integrating the unified theory of acceptance and use of technology and the theory of perceived risk, and based on the features of wearable intelligent medical devices, we proposed a modified unified theory of acceptance and use of technology model to identify factors influencing the acceptance of these devices. Using data collected from 2,192 respondents in China from an online survey, we used structural equation modeling to test the measurement and structural models. Results: The findings suggested that facilitating conditions (path coefficient =0.942, P<0.001) were critical to the use of wearable intelligent medical devices. Behavioral intention significantly mediated the effects of perceived risk, perceived cost, health expectation, perceived ease of use, and social influence on user behavior (path coefficient =0.210, P<0.001). Health expectation (path coefficient =0.860, P<0.001), perceived ease of use (path coefficient =0.289, P<0.001), and social influence (path coefficient =0.153, P<0.001) were found to play essential roles in predicting behavioral intention. Perceived cost (path coefficient =0.034, P<0.05) and perceived risk (path coefficient =-0.031, P<0.05) had no significant effect on behavioral intention. People with underlying diseases had lower health expectations and perceived costs. Conclusions: The modified unified theory of acceptance and use of technology model in our research is a reliable model to evaluate the user acceptance of wearable intelligent medical devices.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 31 citations exist upstream.

References

2003User Acceptance of Information Technology: Toward A Unified View1 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1995Understanding Information Technology Usage: A Test of Competing Models 2012The Theory of Planned Behavior 2003User Acceptance of Information Technology: Toward a Unified View 2008Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit

Cited by

2023What predicts patients’ satisfaction and continuous use of intelligent medical guidance? the moderating effect of consulting experience

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.