000 04369nam a22005895i 4500
001 978-3-319-31700-7
003 DE-He213
005 20200421112556.0
007 cr nn 008mamaa
008 160614s2016 gw | s |||| 0|eng d
020 _a9783319317007
_9978-3-319-31700-7
024 7 _a10.1007/978-3-319-31700-7
_2doi
050 4 _aQA76.9.U83
050 4 _aQA76.9.H85
072 7 _aUYZG
_2bicssc
072 7 _aCOM070000
_2bisacsh
082 0 4 _a005.437
_223
082 0 4 _a4.019
_223
100 1 _aChen, Fang.
_eauthor.
245 1 0 _aRobust Multimodal Cognitive Load Measurement
_h[electronic resource] /
_cby Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIV, 254 p. 131 illus., 65 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aHuman-Computer Interaction Series,
_x1571-5035
505 0 _aPreface -- 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 _aThis 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 _aComputer science.
650 0 _aUser interfaces (Computer systems).
650 0 _aBiometrics (Biology).
650 0 _aBiological psychology.
650 1 4 _aComputer Science.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aBiological Psychology.
650 2 4 _aBiometrics.
700 1 _aZhou, Jianlong.
_eauthor.
700 1 _aWang, Yang.
_eauthor.
700 1 _aYu, Kun.
_eauthor.
700 1 _aArshad, Syed Z.
_eauthor.
700 1 _aKhawaji, Ahmad.
_eauthor.
700 1 _aConway, Dan.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319316987
830 0 _aHuman-Computer Interaction Series,
_x1571-5035
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-31700-7
912 _aZDB-2-SCS
942 _cEBK
999 _c59130
_d59130