Empirical Evaluation of User Models and User-Adapted Systems
作者： David N. Chin
关键词: Computer science 、 Power (physics) 、 Covariate 、 User modeling 、 Sensitivity (control systems) 、 Artificial intelligence 、 Multimedia information systems 、 Rule of thumb 、 Simulation 、 Machine learning
摘要: Empirical evaluations are needed to determine which users helped or hindered by user-adapted interaction in user modeling systems. A review of past UMUAI articles reveals insufficient empirical evaluations, but an encouraging upward trend. Rules thumb for experimental design, useful tests covariates, and common threats validity presented. Reporting standards including effect size power proposed.
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