Robust Multimodal Cognitive Load Measurement

Author:   Fang Chen ,  Jianlong Zhou ,  Yang Wang ,  Kun Yu
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319810997


Pages:   254
Publication Date:   31 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Robust Multimodal Cognitive Load Measurement


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Overview

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.

Full Product Details

Author:   Fang Chen ,  Jianlong Zhou ,  Yang Wang ,  Kun Yu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Weight:   0.559kg
ISBN:  

9783319810997


ISBN 10:   3319810995
Pages:   254
Publication Date:   31 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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)


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)


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