Overview
- Explores multimodal cognitive load measurement using physiological and behavioral modalities
- Introduces various computational methods for automatic and real-time cognitive load measurement
- Provides models for dynamic workload adjustment and real-time cognitive load measurement via data streaming
Part of the book series: Human–Computer Interaction Series (HCIS)
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About this book
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 computerscientist 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.
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Table of contents (17 chapters)
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Front Matter
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Preliminaries
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Front Matter
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Physiological Measurement
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Front Matter
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Behavioural Measurement
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Front Matter
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Multimodal Measures and Affecting Factors
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Front Matter
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Making Cognitive Load Measurement Accessible
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Front Matter
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Reviews
“The content of this volume is a fair reference source for researchers and stakeholders interested in the investigation and application of the construct of cognitive load. … this is a good reference for those who are interested in the application of cognitive load and its measurement, with the aim of designing multimodal human-computer interactive systems better aligned with limited mental capacities of humans.” (Luca Longo, Computing Reviews, March, 2017)
Authors and Affiliations
Bibliographic Information
Book Title: Robust Multimodal Cognitive Load Measurement
Authors: Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway
Series Title: Human–Computer Interaction Series
DOI: https://doi.org/10.1007/978-3-319-31700-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-31698-7Published: 24 June 2016
Softcover ISBN: 978-3-319-81099-7Published: 31 May 2018
eBook ISBN: 978-3-319-31700-7Published: 14 June 2016
Series ISSN: 1571-5035
Series E-ISSN: 2524-4477
Edition Number: 1
Number of Pages: XIV, 254
Number of Illustrations: 66 b/w illustrations, 65 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Biological Psychology, Biometrics