Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation

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.