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

Halbrügge, Marc

 
9783319868493: Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
Brossura
ISBN 10: 3319868497 ISBN 13: 9783319868493
Casa editrice: Springer, 2018

Sinossi

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 Goalstheory 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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
3319868497
ISBN 13 
9783319868493
Rilegatura
Copertina flessibile
Numero di pagine
168
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9783319603681: Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces

Edizione in evidenza

ISBN 10:  331960368X ISBN 13:  9783319603681
Casa editrice: Springer-Verlag New York Inc, 2017
Rilegato