Predicting User Performance and Errors Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces /

This book proposes a combination of cognitive modeling with model-based user interface development to tackle the problem of maintaining the usability of applications that target several device types at once (e.g., desktop PC, smart phone, smart TV). Model-based applications provide interesting meta-...

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Bibliographische Detailangaben
1. Verfasser: Halbrügge, Marc (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:T-Labs Series in Telecommunication Services,
Schlagworte:
User interfaces (Computer systems).
Signal processing.
Image processing.
Speech processing systems.
ISBN:9783319603698
ISSN:2192-2810
Online-Zugang: Volltext
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Inhaltsangabe:
  • 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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