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Robust Multimodal Cognitive Load Measurement

  • Fang Chen
  • Jianlong Zhou
  • Yang Wang
  • Kun Yu
  • Syed Z. Arshad
  • Ahmad Khawaji
  • Dan Conway

Part of the Human–Computer Interaction Series book series (HCIS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Preliminaries

    1. Front Matter
      Pages 1-1
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 3-12
    3. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 13-32
    4. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 33-71
  3. Physiological Measurement

    1. Front Matter
      Pages 73-73
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 75-85
    3. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 87-99
  4. Behavioural Measurement

    1. Front Matter
      Pages 101-101
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 103-114
    3. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 115-131
    4. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 133-145
    5. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 147-157
  5. Multimodal Measures and Affecting Factors

    1. Front Matter
      Pages 159-159
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 161-171
    3. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 173-183
    4. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 185-194
    5. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 195-214
  6. Making Cognitive Load Measurement Accessible

    1. Front Matter
      Pages 215-215
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 217-227
    3. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 229-234
    4. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 235-247
  7. Conclusions

    1. Front Matter
      Pages 249-249
    2. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji et al.
      Pages 251-254

About this book

Introduction

This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications.

This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation.

Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.

Keywords

Automatic Measurement Cognitive Load Human Computer Interaction (HCI) Multimodality Physiological and Behavioural Signals

Authors and affiliations

  • Fang Chen
    • 1
  • Jianlong Zhou
    • 2
  • Yang Wang
    • 3
  • Kun Yu
    • 4
  • Syed Z. Arshad
    • 5
  • Ahmad Khawaji
    • 6
  • Dan Conway
    • 7
  1. 1.(NICTA)National ICT AustraliaSydneyAustralia
  2. 2.(NICTA)National ICT AustraliaSydneyAustralia
  3. 3.(NICTA)National ICT AustraliaSydneyAustralia
  4. 4.(NICTA)National ICT AustraliaSydneyAustralia
  5. 5.(NICTA)National ICT AustraliaSydneyAustralia
  6. 6.(NICTA)National ICT AustraliaSydneyAustralia
  7. 7.(NICTA)National ICT AustraliaSydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-31700-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31698-7
  • Online ISBN 978-3-319-31700-7
  • Series Print ISSN 1571-5035
  • Buy this book on publisher's site