Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation
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View abstract on PubMed
Summary
This summary is machine-generated.User acceptance of healthcare devices like radar sensors and wearables is driven by performance, effort, social factors, and trust. Understanding these elements, including generational and device differences, is key for technology adoption.
Area Of Science
- Health Informatics
- Human-Computer Interaction
- Technology Acceptance Models
Background
- Healthcare device adoption is rapidly increasing.
- Understanding user acceptance is crucial for successful integration.
- Radar sensors and wearable devices represent key areas of growth.
Purpose Of The Study
- To investigate factors influencing user acceptance of healthcare devices.
- To examine the roles of performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk.
- To explore mediation and moderation effects, including generation and device type.
Main Methods
- Utilized SmartPLS 4.0 for data analysis.
- Collected 1158 valid responses from users.
- Tested hypotheses related to the Unified Theory of Acceptance and Use of Technology (UTAUT) model.
Main Results
- Performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk significantly impact user attitudes and trust.
- Attitudes fully mediate the relationship between performance/effort expectancies and behavioral intention.
- Social influence, facilitating conditions, and perceived risk partially mediate the relationship.
- Generation and device type (radar sensors vs. wearables) significantly moderate user acceptance.
Conclusions
- User acceptance of healthcare technology is complex, influenced by multiple factors.
- Theoretical contributions extend the UTAUT model.
- Practical implications for manufacturers and policymakers to enhance adoption strategies by considering user demographics and device specifics.
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