Yüklüyor…
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-...
Yazar: | |
---|---|
Müşterek Yazar: | |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
Edisyon: | 1st ed. 2018. |
Seri Bilgileri: | T-Labs Series in Telecommunication Services,
|
Konular: | |
Online Erişim: | Full-text access |
İçindekiler:
- 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.