Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introsp
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- Artikel-Nr.: 10471387
Beschreibung
Introduction.- Part I Theoretical Background and Related Work: Interactive Behavior and Human Error.- Model-Based UI Development (MBUID).- Automated Usability Evaluation (AUE).- Part II Empirical Results and Model Development: Introspection-Based Predictions of Human Performance.- Explaining and Predicting Sequential Error in HCI With Cognitive User Models.- The Competent User: How Prior Knowledge Shapes Performance and Errors.- A Deeply Integrated System for Introspection-Based Error Prediction.- The Unknown User: Does Optimizing for Errors and Time Lead to More Likable Systems?- General Discussion and Conclusion.
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