Skip to main content
SpringerLink
Log in

Predicting User Performance and Errors

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

  • Book
  • © 2018

Overview

Authors:
  1. Marc Halbrügge

    1. Quality and Usability Lab, TU Berlin, Berlin, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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
  • Includes supplementary material: sn.pub/extras

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introduction

    • Marc Halbrügge
    Pages 1-5

  3. Theoretical Background and Related Work

    1. Front Matter

      Pages 7-7
      Download chapter PDF

    2. Interactive Behavior and Human Error

      • Marc Halbrügge
      Pages 9-17

    3. Model-Based UI Development (MBUID)

      • Marc Halbrügge
      Pages 19-22

    4. Automated Usability Evaluation (AUE)

      • Marc Halbrügge
      Pages 23-33

  4. Empirical Results and Model Development

    1. Front Matter

      Pages 35-35
      Download chapter PDF

    2. Introspection-Based Predictions of Human Performance

      • Marc Halbrügge
      Pages 37-51

    3. Explaining and Predicting Sequential Error in HCI with Cognitive User Models

      • Marc Halbrügge
      Pages 53-85

    4. The Competent User: How Prior Knowledge Shapes Performance and Errors

      • Marc Halbrügge
      Pages 87-99

  5. Application and Evaluation

    1. Front Matter

      Pages 101-101
      Download chapter PDF

    2. A Deeply Integrated System for Introspection-Based Error Prediction

      • Marc Halbrügge
      Pages 103-116

    3. The Unknown User: Does Optimizing for Errors and Time Lead to More Likable Systems?

      • Marc Halbrügge
      Pages 117-130

    4. General Discussion and Conclusion

      • Marc Halbrügge
      Pages 131-136

  6. Back Matter

    Pages 137-149
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Quality and Usability Lab, TU Berlin, Berlin, Germany

    Marc Halbrügge

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

  • DOI: https://doi.org/10.1007/978-3-319-60369-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-60368-1Published: 28 July 2017

  • Softcover ISBN: 978-3-319-86849-3Published: 04 August 2018

  • eBook ISBN: 978-3-319-60369-8Published: 20 July 2017

  • 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

Publish with us

Policies and ethics

Back to top

Search

Navigation