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Titlebook: Robust Multimodal Cognitive Load Measurement; Fang Chen,Jianlong Zhou,Dan Conway Book 2016 Springer International Publishing Switzerland 2

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發(fā)表于 2025-3-21 16:50:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Robust Multimodal Cognitive Load Measurement
編輯Fang Chen,Jianlong Zhou,Dan Conway
視頻videohttp://file.papertrans.cn/832/831333/831333.mp4
概述Explores multimodal cognitive load measurement using physiological and behavioral modalities.Introduces various computational methods for automatic and real-time cognitive load measurement.Provides mo
叢書名稱Human–Computer Interaction Series
圖書封面Titlebook: Robust Multimodal Cognitive Load Measurement;  Fang Chen,Jianlong Zhou,Dan Conway Book 2016 Springer International Publishing Switzerland 2
描述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 cogni
出版日期Book 2016
關(guān)鍵詞Automatic Measurement; Cognitive Load; Human Computer Interaction (HCI); Multimodality; Physiological an
版次1
doihttps://doi.org/10.1007/978-3-319-31700-7
isbn_softcover978-3-319-81099-7
isbn_ebook978-3-319-31700-7Series ISSN 1571-5035 Series E-ISSN 2524-4477
issn_series 1571-5035
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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The State-of-The-Artad are identified. The related work of each measurement approach is then discussed in more detail. These approaches include subjective (self-report) measures, physiological measures, performance measures, and behavioural measures. The related work on measuring different types of cognitive load (intr
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Linguistic Feature-Based Measuresmine language complexity for learning analytics or comprehension, can be successfully applied to the cognitive load research. The linguistic approach to measure cognitive load can also be used as a post-hoc analysis technique for user interface evaluation and interaction design improvement using spe
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Dynamic Cognitive Load Adjustments in a Feedback Loopdemands at an appropriate level. Physiological signals such as GSR are collected to evaluate human workload in real-time and the task difficulty levels are adjusted in real-time to better fit the user.
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