Predicting User Performance and Errors

Predicting User Performance and Errors

Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces

Halbrugge, Marc

Springer International Publishing AG

07/2017

149

Dura

Inglês

9783319603681

15 a 20 dias

Proposing a combination of cognitive modeling with model-based user interface development to maintain the usability of applications targeting several device types (e.g. desktop PC, smart phone). Cognitive user models can use this meta-information to improve predictions of the interaction behavior of future users of applications under development.
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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