Cognitive workload discrimination in flight simulation task using a generalized measure of association

Zhongxiang Dai; José C. Príncipe; Anastasios Bezerianos; Nitish V. Thakor

doi:10.1007/978-3-319-26555-1_78

Cognitive workload discrimination in flight simulation task using a generalized measure of association

Zhongxiang Dai, José C. Príncipe, Anastasios Bezerianos, Nitish V. Thakor

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cognitive workload discrimination of pilots during flights can contribute to flight safety by preventing mental overloading of the aircraft crew. Research has been conducted to study the cognitive workload of pilots in flight simulation task. The estimation of the cortical connectivity is a critical step in mental workload assessment. Therefore, we adopted a novel, parameter-free method of evaluating the cortical connectivity, named Generalized Measure of Association (GMA), to assess and discriminate the mental workload of pilots using the Multi-Attribute Task Battery (MATB) flight simulation platform. A modified version of GMA (Time Series GMA) is applied on the pre-processed EEG time series recorded from eight subjects during the MATB experiment. Frobenius Norm is used to calculate the Euclidean distances between different TGMA series in order to assess the discriminability of the cognitive workloads. The results have shown clear distinction between the mean values of the inter-task and intra-task Euclidean distance series of TGMA matrices, but statistical significance is still lacking due to the relatively large standard deviations.

Original language	English (US)
Title of host publication	Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings
Editors	Tingwen Huang, Qingshan Liu, Weng Kin Lai, Sabri Arik
Publisher	Springer Verlag
Pages	692-699
Number of pages	8
ISBN (Print)	9783319265544
DOIs	https://doi.org/10.1007/978-3-319-26555-1_78
State	Published - Jan 1 2015
Event	22nd International Conference on Neural Information Processing, ICONIP 2015 - Istanbul, Turkey Duration: Nov 9 2015 → Nov 12 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9491
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	22nd International Conference on Neural Information Processing, ICONIP 2015
Country/Territory	Turkey
City	Istanbul
Period	11/9/15 → 11/12/15

Keywords

Cognitive workload discrimination
EEG
Generalized measure of association
Multi-attribute task battery

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-26555-1_78

Cite this

Dai, Z., Príncipe, J. C., Bezerianos, A., & Thakor, N. V. (2015). Cognitive workload discrimination in flight simulation task using a generalized measure of association. In T. Huang, Q. Liu, W. K. Lai, & S. Arik (Eds.), Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings (pp. 692-699). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9491). Springer Verlag. https://doi.org/10.1007/978-3-319-26555-1_78

Cognitive workload discrimination in flight simulation task using a generalized measure of association. / Dai, Zhongxiang; Príncipe, José C.; Bezerianos, Anastasios; Thakor, Nitish V.

Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. ed. / Tingwen Huang; Qingshan Liu; Weng Kin Lai; Sabri Arik. Springer Verlag, 2015. p. 692-699 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9491).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dai, Z, Príncipe, JC, Bezerianos, A & Thakor, NV 2015, Cognitive workload discrimination in flight simulation task using a generalized measure of association. in T Huang, Q Liu, WK Lai & S Arik (eds), Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9491, Springer Verlag, pp. 692-699, 22nd International Conference on Neural Information Processing, ICONIP 2015, Istanbul, Turkey, 11/9/15. https://doi.org/10.1007/978-3-319-26555-1_78

Dai Z, Príncipe JC, Bezerianos A, Thakor NV. Cognitive workload discrimination in flight simulation task using a generalized measure of association. In Huang T, Liu Q, Lai WK, Arik S, editors, Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. Springer Verlag. 2015. p. 692-699. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-26555-1_78

Dai, Zhongxiang ; Príncipe, José C. ; Bezerianos, Anastasios ; Thakor, Nitish V. / Cognitive workload discrimination in flight simulation task using a generalized measure of association. Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. editor / Tingwen Huang ; Qingshan Liu ; Weng Kin Lai ; Sabri Arik. Springer Verlag, 2015. pp. 692-699 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{192a49c5dcea4418b9f8b45813261c40,

title = "Cognitive workload discrimination in flight simulation task using a generalized measure of association",

abstract = "Cognitive workload discrimination of pilots during flights can contribute to flight safety by preventing mental overloading of the aircraft crew. Research has been conducted to study the cognitive workload of pilots in flight simulation task. The estimation of the cortical connectivity is a critical step in mental workload assessment. Therefore, we adopted a novel, parameter-free method of evaluating the cortical connectivity, named Generalized Measure of Association (GMA), to assess and discriminate the mental workload of pilots using the Multi-Attribute Task Battery (MATB) flight simulation platform. A modified version of GMA (Time Series GMA) is applied on the pre-processed EEG time series recorded from eight subjects during the MATB experiment. Frobenius Norm is used to calculate the Euclidean distances between different TGMA series in order to assess the discriminability of the cognitive workloads. The results have shown clear distinction between the mean values of the inter-task and intra-task Euclidean distance series of TGMA matrices, but statistical significance is still lacking due to the relatively large standard deviations.",

keywords = "Cognitive workload discrimination, EEG, Generalized measure of association, Multi-attribute task battery",

author = "Zhongxiang Dai and Pr{\'i}ncipe, {Jos{\'e} C.} and Anastasios Bezerianos and Thakor, {Nitish V.}",

year = "2015",

month = jan,

day = "1",

doi = "10.1007/978-3-319-26555-1_78",

language = "English (US)",

isbn = "9783319265544",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "692--699",

editor = "Tingwen Huang and Qingshan Liu and Lai, {Weng Kin} and Sabri Arik",

booktitle = "Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings",

note = "22nd International Conference on Neural Information Processing, ICONIP 2015 ; Conference date: 09-11-2015 Through 12-11-2015",

}

TY - GEN

T1 - Cognitive workload discrimination in flight simulation task using a generalized measure of association

AU - Dai, Zhongxiang

AU - Príncipe, José C.

AU - Bezerianos, Anastasios

AU - Thakor, Nitish V.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Cognitive workload discrimination of pilots during flights can contribute to flight safety by preventing mental overloading of the aircraft crew. Research has been conducted to study the cognitive workload of pilots in flight simulation task. The estimation of the cortical connectivity is a critical step in mental workload assessment. Therefore, we adopted a novel, parameter-free method of evaluating the cortical connectivity, named Generalized Measure of Association (GMA), to assess and discriminate the mental workload of pilots using the Multi-Attribute Task Battery (MATB) flight simulation platform. A modified version of GMA (Time Series GMA) is applied on the pre-processed EEG time series recorded from eight subjects during the MATB experiment. Frobenius Norm is used to calculate the Euclidean distances between different TGMA series in order to assess the discriminability of the cognitive workloads. The results have shown clear distinction between the mean values of the inter-task and intra-task Euclidean distance series of TGMA matrices, but statistical significance is still lacking due to the relatively large standard deviations.

AB - Cognitive workload discrimination of pilots during flights can contribute to flight safety by preventing mental overloading of the aircraft crew. Research has been conducted to study the cognitive workload of pilots in flight simulation task. The estimation of the cortical connectivity is a critical step in mental workload assessment. Therefore, we adopted a novel, parameter-free method of evaluating the cortical connectivity, named Generalized Measure of Association (GMA), to assess and discriminate the mental workload of pilots using the Multi-Attribute Task Battery (MATB) flight simulation platform. A modified version of GMA (Time Series GMA) is applied on the pre-processed EEG time series recorded from eight subjects during the MATB experiment. Frobenius Norm is used to calculate the Euclidean distances between different TGMA series in order to assess the discriminability of the cognitive workloads. The results have shown clear distinction between the mean values of the inter-task and intra-task Euclidean distance series of TGMA matrices, but statistical significance is still lacking due to the relatively large standard deviations.

KW - Cognitive workload discrimination

KW - EEG

KW - Generalized measure of association

KW - Multi-attribute task battery

UR - http://www.scopus.com/inward/record.url?scp=84952022312&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952022312&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-26555-1_78

DO - 10.1007/978-3-319-26555-1_78

M3 - Conference contribution

AN - SCOPUS:84952022312

SN - 9783319265544

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 692

EP - 699

BT - Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings

A2 - Huang, Tingwen

A2 - Liu, Qingshan

A2 - Lai, Weng Kin

A2 - Arik, Sabri

PB - Springer Verlag

T2 - 22nd International Conference on Neural Information Processing, ICONIP 2015

Y2 - 9 November 2015 through 12 November 2015

ER -

Cognitive workload discrimination in flight simulation task using a generalized measure of association

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this