Predicting User Performance and Errors
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Predicting User Performance and Errors
Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
Halbruegge, Marc
Springer International Publishing AG
08/2018
149
Mole
Inglês
9783319868493
15 a 20 dias
2642
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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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Model- Based UI Development MBUID;multi-target model-based application;User-Centered Design;Automated Usability Evaluation;automatable usability prediction;goal relevance;task necessity;concept relevance
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
