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Robust multimodal cognitive load measurement [electronic resource] / Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.

Chen, Fang, author.; Zhou, Jianlong, author.; Wang, Yang, author.; Yu, Kun, author.; Arshad, Syed Z. author.; Khawaji, Ahmad, author.; Conway, Dan, author.
2016
QA76.9.H85
Available Online
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Title
Robust multimodal cognitive load measurement [electronic resource] / Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.
ISBN
9783319317007 (electronic book)
3319317008 (electronic book)
9783319316987
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xiv, 254 pages) : illustrations.
Call Number
QA76.9.H85
Dewey Decimal Classification
004.01/9
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 22, 2016).
Added Author
Chen, Fang, author.
Zhou, Jianlong, author.
Wang, Yang, author.
Yu, Kun, author.
Arshad, Syed Z. author.
Khawaji, Ahmad, author.
Conway, Dan, author.
Series
Human-computer interaction series.
Available in Other Form
Robust multimodal cognitive load measurement.
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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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