Robust Multimodal Cognitive Load Measurement (Human–Computer Interaction Series) - Hardcover

Buch 69 von 141: Human?Computer Interaction

Chen, Fang; Zhou, Jianlong; Wang, Yang; Yu, Kun; Arshad, Syed Z.; Khawaji, Ahmad; Conway, Dan

 
9783319316987: Robust Multimodal Cognitive Load Measurement (Human–Computer Interaction Series)

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Fang Chen is the managing partner of Joius Law Firm, qualified tax Advisor, has been practicing law for 19 years. Ms. Chen is the author of Practice Guide of Overseas Banks'Cross-border Financing and Guarantee to Chinese Enterprises, Practice Guide and Legal Analysis of Cross-border Financing of Chinese Enterprises, and has participated in editing many monograph on law. Ms. Chen also lectures at Shanghai University of Finance and Economics, Shanghai Law Association, Taiwan Financial Research and Training Institute, Head office of banks in Taiwan, and delivers speeches at various large-scale seminars.

Von der hinteren Coverseite

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.

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Weitere beliebte Ausgaben desselben Titels

9783319810997: Robust Multimodal Cognitive Load Measurement (Human–Computer Interaction Series)

Vorgestellte Ausgabe

ISBN 10:  3319810995 ISBN 13:  9783319810997
Verlag: Springer, 2018
Softcover