Predicting User Performance and Errors
-15%
portes grátis
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
