Authors:
- 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)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Front Matter
-
Preliminaries
-
Front Matter
-
-
Physiological Measurement
-
Front Matter
-
-
Behavioural Measurement
-
Front Matter
-
-
Multimodal Measures and Affecting Factors
-
Front Matter
-
-
Making Cognitive Load Measurement Accessible
-
Front Matter
-
About this book
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.
Reviews
Authors and Affiliations
-
(NICTA), National ICT Australia, Sydney, Australia
Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway
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