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Evaluating AI-driven characters in extended reality (XR) healthcare simulations: A systematic review
3
Zitationen
5
Autoren
2025
Jahr
Abstract
= 85%), while one RCT reported faster task performance with AI-driven characters (g = -0.68, 95% CI -1.32 to -0.04). Certainty of evidence was low due to small samples and high heterogeneity. Implementation success was often associated with phased roll-outs and faculty training, but quality assurance practices (particularly bias audits and transparency measures) were rarely documented. The review proposes the DASEX framework to address these gaps and guide future integration of AI-driven characters in XR training.
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