Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces - Couverture souple
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Synopsis
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.
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Halbr?gge:Predicting User Performance a (eng)
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Predicting User Performance and Errors
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Springer International Publishing Aug 2018, 2018
ISBN 10 : 3319868497
ISBN 13 : 9783319868493
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch. N° de réf. du vendeur 9783319868493
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Predicting User Performance and Errors
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319868497
ISBN 13 : 9783319868493
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tackles the problem of maintaining the usability of applications that target several device types at once Proposes a combination of cognitive modeling with model-based user interface developmentDevelops an extended model of sequential action contr. N° de réf. du vendeur 448760223
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Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces (T-Labs Series in Telecommunication Services)
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Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces (T-Labs Series in Telecommunication Services)
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Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces (T-Labs Series in Telecommunication Services)
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Predicting User Performance and Errors | Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
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Taschenbuch. Etat : Neu. Predicting User Performance and Errors | Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces | Marc Halbrügge | Taschenbuch | T-Labs Series in Telecommunication Services | xvi | Englisch | 2018 | Springer | EAN 9783319868493 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 114239209
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Predicting User Performance and Errors
Edité par
Springer, Palgrave Macmillan Aug 2018, 2018
ISBN 10 : 3319868497
ISBN 13 : 9783319868493
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch. N° de réf. du vendeur 9783319868493
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Predicting User Performance and Errors : Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
ISBN 10 : 3319868497
ISBN 13 : 9783319868493
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319868493
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Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces (T-Labs Series in Telecommunication Services)
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