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© 2018

Predicting User Performance and Errors

Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces

Benefits

  • 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 development

  • Develops an extended model of sequential action control based on the Memory for Goals theory

Book

Part of the T-Labs Series in Telecommunication Services book series (TLABS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Marc Halbrügge
    Pages 1-5
  3. Theoretical Background and Related Work

    1. Front Matter
      Pages 7-7
    2. Marc Halbrügge
      Pages 9-17
    3. Marc Halbrügge
      Pages 19-22
    4. Marc Halbrügge
      Pages 23-33
  4. Empirical Results and Model Development

  5. Application and Evaluation

  6. Back Matter
    Pages 137-149

About this book

Introduction

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.

Keywords

Model- Based UI Development MBUID multi-target model-based application User-Centered Design Automated Usability Evaluation automatable usability prediction goal relevance task necessity concept relevance

Authors and affiliations

  1. 1.Quality and Usability LabTU BerlinBerlinGermany

Bibliographic information

  • Book Title Predicting User Performance and Errors
  • Book Subtitle Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces
  • Authors Marc Halbrügge
  • Series Title T-Labs Series in Telecommunication Services
  • Series Abbreviated Title T-Labs Ser Telecommun Serv
  • DOI https://doi.org/10.1007/978-3-319-60369-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-60368-1
  • Softcover ISBN 978-3-319-86849-3
  • eBook ISBN 978-3-319-60369-8
  • Series ISSN 2192-2810
  • Series E-ISSN 2192-2829
  • Edition Number 1
  • Number of Pages XVI, 149
  • Number of Illustrations 27 b/w illustrations, 17 illustrations in colour
  • Topics User Interfaces and Human Computer Interaction
    Signal, Image and Speech Processing
  • Buy this book on publisher's site