Robust Multimodal Cognitive Load Measurement

Robust Multimodal Cognitive Load Measurement by Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.

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 illu...

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Bibliographic Details
Main Authors: Chen, Fang (Author), Zhou, Jianlong (Author), Wang, Yang (Author), Yu, Kun (Author), Arshad, Syed Z. (Author), Khawaji, Ahmad (Author), Conway, Dan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Human–Computer Interaction Series,
Springer eBook Collection.
Subjects:
User interfaces (Computer systems).
Biological psychology.
Biometrics (Biology).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Preface
  • Part I: Preliminaries
  • Introduction
  • The State-of-The-Art
  • Theoretical Aspects of Multimodal Cognitive Load Measures
  • Part II: Physiological Measurement
  • Eye Based Measures. Galvanic Skin Response Based Measures
  • Part III: Behavioural Measurement
  • Linguistic Feature Based Measures
  • Speech Signal Based Measures
  • Pen Input Based Measures
  • Mouse Based Measures
  • Part IV: Multimodal Measures and Affecting Factors
  • Multimodal Measures and Data Fusion
  • Emotion and Cognitive Load
  • Stress and Cognitive Load
  • Trust and Cognitive Load
  • Part V: Making Cognitive Load Measurement Accessible
  • Dynamic Cognitive Load Adjustments in A Feedback Loop
  • Real-Time Cognitive Load Measurement: Data Streaming Approach
  • Applications of Cognitive Load Measurement
  • Part VI: Conclusions
  • Cognitive Load Measurement in Perspectives.

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