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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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | T-Labs Series in Telecommunication Services,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.