Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling
Spencer Warren, Daniel Claman, Beau Meyer, Jin Peng, Emre Sezgin

TL;DR
This study explores how dentists feel about using voice assistants in their work, finding that performance and enjoyment are key factors in adoption, while privacy concerns act as barriers.
Contribution
This is the first study to investigate dentists' acceptance of voice assistant technology using structural equation modeling.
Findings
Performance expectancy and perceived enjoyment significantly increase dentists' intention to use voice assistants.
Perceived risk negatively influences dentists' intention to adopt voice assistant technology.
Self-efficacy explains 35.5% of the variance in perceived enjoyment of using voice assistants.
Abstract
Voice assistant technologies (VAT) has been part of our daily lives, as a virtual assistant to complete requested tasks. The integration of VAT in dental offices has the potential to augment productivity and hygiene practices. Prior to the adoption of such innovations in dental settings, it is crucial to evaluate their applicability. This study aims to assess dentists’ perceptions and the factors influencing their intention to use VAT in a clinical setting. A survey and research model were designed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). The survey was sent to 7,544 Ohio-licensed dentists through email. The data was analyzed and reported using descriptive statistics, model reliability testing, and partial least squares regression (PLSR) to explain dentists’ behavioral intention (BI) to use VAT. In total, 257 participants completed the survey. The…
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Taxonomy
TopicsAI in Service Interactions · Technology Adoption and User Behaviour · Mobile Health and mHealth Applications
