東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Robust multimodal cognitive load mea...

Chen, Fang.

Linked to FindBook

Google Book

Amazon

博客來

Robust multimodal cognitive load measurement

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust multimodal cognitive load measurement/ by Fang Chen ... [et al.].
other author:	Chen, Fang.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xiv, 254 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	User-centered system design. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-31700-7
ISBN:	9783319317007

Robust multimodal cognitive load measurement
Robust multimodal cognitive load measurement[electronic resource] /by Fang Chen ... [et al.]. - Cham :Springer International Publishing :2016. - xiv, 254 p. :ill. (some col.), digital ;24 cm. - 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:

898884
User-centered system design.

LC Class. No.: QA76.9.H85

Dewey Class. No.: 004.019

Robust multimodal cognitive load measurement
LDR:03350nmm a2200325 a 4500 001 2041158
003 DE-He213
005 20161117133756.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319317007 $q (electronic bk.)
020 $a 9783319316987 $q (paper)
024 7 $a 10.1007/978-3-319-31700-7 $2 doi
035 $a 978-3-319-31700-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.H85
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
082 0 4 $a 004.019 $2 23
090 $a QA76.9.H85 $b R667 2016
245 0 0 $a Robust multimodal cognitive load measurement $h [electronic resource] / $c by Fang Chen ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xiv, 254 p. : $b ill. (some col.), digital ; $c 24 cm.
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-centered system design. $3 898884
650 0 $a Human-computer interaction. $3 560071
650 0 $a Multimodal user interfaces (Computer systems) $3 1639824
650 1 4 $a Computer Science. $3 626642
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Biological Psychology. $3 901365
650 2 4 $a Biometrics. $3 898232
700 1 $a Chen, Fang. $3 1086125
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Human-computer interaction series. $3 1568009
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-31700-7
950 $a Computer Science (Springer-11645)