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-...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Halbrügge, Marc (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing, 2018.
Vydání:1st ed. 2018.
Edice:T-Labs Series in Telecommunication Services,
Témata:
ISBN:9783319603698
ISSN:2192-2810
On-line přístup: Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

MARC

LEADER 00000nam a22000005i 4500
003 SK-BrCVT
005 20220618102403.0
007 cr nn 008mamaa
008 170720s2018 gw | s |||| 0|eng d
020 |a 9783319603698 
024 7 |a 10.1007/978-3-319-60369-8  |2 doi 
035 |a CVTIDW12957 
040 |a Springer-Nature  |b eng  |c CVTISR  |e AACR2 
041 |a eng 
100 1 |a Halbrügge, Marc.  |4 aut 
245 1 0 |a Predicting User Performance and Errors  |h [electronic resource] :  |b Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces /  |c by Marc Halbrügge. 
250 |a 1st ed. 2018. 
260 1 |a Cham :  |b Springer International Publishing,  |c 2018. 
300 |a XVI, 149 p. 44 illus., 17 illus. in color.  |b online resource. 
490 1 |a T-Labs Series in Telecommunication Services,  |x 2192-2810 
500 |a Engineering  
505 0 |a 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. 
516 |a text file PDF 
520 |a 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-information about the elements of the user interface (UI) that are accessible through computational introspection. Cognitive user models can capitalize on this meta-information to provide improved predictions of the interaction behavior of future human users of applications under development. In order to achieve this, cognitive processes that link UI properties to usability aspects like effectiveness (user error) and efficiency (task completion time) are established empirically, are explained through cognitive modeling, and are validated in the course of this treatise. In the case of user error, the book develops an extended model of sequential action control based on the Memory for Goals theory and it is confirmed in different behavioral domains and experimental paradigms. This new model of user cognition and behavior is implemented using the MeMo workbench and integrated with the model-based application framework MASP in order to provide automated usability predictions from early software development stages on. Finally, the validity of the resulting integrated system is confirmed by empirical data from a new application, eliciting unexpected behavioral patterns. 
650 0 |a User interfaces (Computer systems). 
650 0 |a Signal processing. 
650 0 |a Image processing. 
650 0 |a Speech processing systems. 
856 4 0 |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-60369-8  |y Vzdialený prístup pre registrovaných používateľov 
910 |b ZE10237 
919 |a 978-3-319-60369-8 
974 |a andrea.lebedova  |f Elektronické zdroje 
992 |a SUD 
999 |c 240503  |d 240503