國立虎尾科技大學 |

Robust Multimodal Cognitive Load Measurement

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robust Multimodal Cognitive Load Measurement/ by Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.
Author:	Chen, Fang.
other author:	Zhou, Jianlong.
Description:	XIV, 254 p. 131 illus., 65 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	User interfaces (Computer systems). -
Online resource:	https://doi.org/10.1007/978-3-319-31700-7
ISBN:	9783319317007

Robust Multimodal Cognitive Load Measurement
Chen, Fang.

Robust Multimodal Cognitive Load Measurement[electronic resource] /by Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway. - 1st ed. 2016. - XIV, 254 p. 131 illus., 65 illus. in color.online resource. - Human–Computer Interaction Series,1571-5035. - Human–Computer Interaction Series,.

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.

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.

ISBN: 9783319317007

Standard No.: 10.1007/978-3-319-31700-7doiSubjects--Topical Terms:

1253526
User interfaces (Computer systems).

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

Robust Multimodal Cognitive Load Measurement
LDR:03873nam a22004335i 4500 001 971122
003 DE-He213
005 20200705033040.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319317007 $9 978-3-319-31700-7
024 7 $a 10.1007/978-3-319-31700-7 $2 doi
035 $a 978-3-319-31700-7
050 4 $a QA76.9.U83
050 4 $a QA76.9.H85
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
072 7 $a UYZG $2 thema
082 0 4 $a 005.437 $2 23
082 0 4 $a 4.019 $2 23
100 1 $a Chen, Fang. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1110003
245 1 0 $a Robust Multimodal Cognitive Load Measurement $h [electronic resource] / $c by Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XIV, 254 p. 131 illus., 65 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Human–Computer Interaction Series, $x 1571-5035
505 0 $a 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.
520 $a 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.
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Biological psychology. $3 1256132
650 0 $a Biometrics (Biology). $3 1249740
650 1 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Biological Psychology. $3 679135
650 2 4 $a Biometrics. $3 677095
700 1 $a Zhou, Jianlong. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1205895
700 1 $a Wang, Yang. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1071727
700 1 $a Yu, Kun. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1266648
700 1 $a Arshad, Syed Z. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1266649
700 1 $a Khawaji, Ahmad. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1266650
700 1 $a Conway, Dan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1266651
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319316987
776 0 8 $i Printed edition: $z 9783319316994
776 0 8 $i Printed edition: $z 9783319810997
830 0 $a Human–Computer Interaction Series, $x 1571-5035 $3 1254242
856 4 0 $u https://doi.org/10.1007/978-3-319-31700-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)