ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026
[Development and psychometric validation of the User Experience Scale for Artificial Intelligence Question
Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesOral health is an essential component of overall health; however, specific assessment tools for first-visit patients in dental outpatient waiting scenarios are currently lacking. This study aims to systematically develop and validate the User Experience Scale for Artificial Intelligence Question-Answering Systems (UES-AIQA) for Chinese first-visit dental patients, providing a standardized instrument for evaluating the service quality of artificial intelligence (AI)-based services in dental outpatient settings.
methodsAn initial item pool was developed through literature analysis and expert group discussions. Item selection was conducted through 2 rounds of Delphi expert consultation. A total of 305 first-visit dental patients in the Department of Stomatology were recruited using convenience sampling. The first sample of 233 participants was used for exploratory factor analysis (EFA), and the second sample of 72 participants was used for confirmatory factor analysis (CFA). Psychometric properties of the scale were evaluated through item analysis, factor analysis, and reliability analysis.
resultsThe final scale consisted of 10 items and demonstrated a unidimensional structure. The item-level content validity index (
conclusionsThe UES-AIQA demonstrated satisfactory content validity and reliability according to psychometric standards, while structural validity indicators reached acceptable levels. The scale may serve as a preliminary standardized tool for evaluating user experiences with AI question-answering systems among first-visit dental patients.
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