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

Chen, Fang

Softcover

ISBN 10: 3319810995 ISBN 13: 9783319810997

Verlag: Springer, 2018

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

Dr. Bin Li¿is a professor in the College of Food Science at Shenyang Agriculture University. He obtained his Ph.D. from Shenyang Agriculture University in 2011. He has done post-doctoral research at Cornell University in America. Now he is an assistant dean of the Institute of science and technology development, the head of the functional food safety and health team in Shenyang Agricultural University, and deputy director of the National Center for Research and Development of Berry Processing Technology.

Dr. Li Wang¿is a professor of the School of Food Science and National Engineering Laboratory for Cereal Fermentation Technology at Jiangnan University. She obtained her Ph.D. from Jiangnan University in 2009. She has done the visiting scholar research at Cornell University in 2015. Now she is the director of the joint research center for deep processing of agricultural products, the secretary of the party branch for National Engineering Laboratory for Cereal Fermentation Technology. Her research contains deep processing rice products, functional foods, and bioactive ingredients. She has published over 40 papers as first author or corresponding author. She is a co-inventor of 29 issued patents. She hosted 16 projects involved bioactive ingredients, rice processing, and rice protein characterization. She has received several awards including Top Ten Outstanding Young Talents of China for agricultural products processing industry (2017), Young Top-notch Talents Program of China for grain industry (2016), Second award of China National Light Industry Council (2015), and Second award of China Commercial Association for the advancement of science (2012).

Dr. Weibin Bai¿is a Professor of the College of Science and Technology at Jinan University. He obtained his Ph.D. from China Agricultural University in 2009. He is the vice dean of the College of Science and Engineering, the executive vice dean of Institute of Food Safety and Nutrition, the director of Guangdong Engineering Technology Center for Molecular Rapid Detection of Food Safety, the member of the 3rd Youth Work Committee of Chinese Institute of Food Science and Technology, and the director of Youth Work Committee of Guangdong Institute of Food Science and Technology.

Dr. Wei Chen¿is a professor of the Department of Food Science and Nutrition at Zhejiang University. He obtained his Ph.D. from Zhejiang University in 2008. He is the director of the Institute of Food Bioscience and Technology, Zhejiang University. He is the "Chang Jiang Scholars Program-Young Scholar", and hosts outstanding youth found of Zhejiang Province, Qianjiang talents program of Zhejiang Province, and 151 talents program of Zhejiang Province.

Dr. Fang Chen¿is a Professor of the College of Food Science and Nutritional Engineering at China Agricultural University, China. She obtained her Ph.D. from China Agricultural University in 2003. She is the "Yangtze River Scholar", the leading scientific and technological innovation talent of the national "Ten Thousand People Plan", the Excellent Young Scholar of National Science Fund, the Associate Director of Key Laboratory of Fruit and Vegetable Processing of the Ministry of Agriculture, the Secretary-General of National Strategic Alliance of Fruit and Vegetable Processing Industry Innovation.

Dr. Chi Shüis a lecturer at the Institute of Food Science, Shenyang Agricultural University, China.

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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 3319810995
• ISBN 13: 9783319810997
• Einband: Taschenbuch
• Anzahl der Seiten: 268
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland