20% off all books with the code: BOOKS
  • check 10+ million books
  • check New arrivals every day
  • check Trusted by 1M+ customers
  • check Great prices & discounts
  • check Shipping across Europe

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

English
2017-07-28
€135.50 €169.38

-20% with code BOOKS

In stock at our supplier

Shipping in 17-23 days

30-day return policy

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 introspect ... Full description

You May Also Like

Description

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.

More Information

Author Marc Halbrügge
Publisher Springer Nature Switzerland
Series T-Labs Series in Telecommunication Services
Release year 2017
Cover type Hardcover
EAN 9783319603681
Write Your Own Review
You're reviewing: Predicting User Performance and Errors: Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
Your Rating:

Goodreads Reviews

€135.50 €169.38