A method to reveal workload weak-resilience-signals at a rail control post

A.W. Siegel; Johannes Martinus Cornelis Schraagen

doi:10.1007/978-3-319-07515-0_9

A method to reveal workload weak-resilience-signals at a rail control post

A.W. Siegel, Johannes Martinus Cornelis Schraagen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

148 Downloads (Pure)

Abstract

Reorganization of a rail control post may affect its ability to cope with unexpected disruptions. The term ‘resilience’, the ability to manage spare adaptive capacity when unexpected events occur, encapsulates this situation. This paper focuses on the workload adaptive capacity through a method for revealing workload weak-resilience-signals (WRS). Three different workload measurements are adapted to identify structural changes in workload. The first, executed cognitive task load, targets system activities. The second, integrated workload scale, is a subjective measure. The last, heart rate variability, identifies physiological arousal because of workload. An experiment is designed to identify the workload change and distribution across group members during disruptions. A newly defined Stretch, the reaction of the system to an external cluster-event, is used to reveal a workload WRS. The method is suitable for real-time usage and provides the means for the rail signaler to influence the system through his subjective workload perception.

Original language	English
Title of host publication	Engineering Psychology and Cognitive Ergonomics
Subtitle of host publication	11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings
Editors	Don Harris
Place of Publication	Cham
Publisher	Springer
Pages	82-93
Number of pages	11
ISBN (Print)	978-3-319-07514-3
DOIs	https://doi.org/10.1007/978-3-319-07515-0_9
Publication status	Published - 2014
Event	11th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2014 - Creta Maris Beach Resort, Heraklion, Greece Duration: 22 Jun 2014 → 27 Jun 2014 Conference number: 11

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	8532
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2014
Abbreviated title	EPCE
Country/Territory	Greece
City	Heraklion
Period	22/06/14 → 27/06/14

Keywords

IR-91399
METIS-304233

Access to Document

10.1007/978-3-319-07515-0_9

Siegel and Schraagen (HCII 2014) Method to reveal workload WRS @ rail-post V2 0Accepted author version, 477 KB

Cite this

Siegel, A. W., & Schraagen, J. M. C. (2014). A method to reveal workload weak-resilience-signals at a rail control post. In D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics: 11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings (pp. 82-93). (Lecture Notes in Computer Science; Vol. 8532). Springer. https://doi.org/10.1007/978-3-319-07515-0_9

Siegel, A.W. ; Schraagen, Johannes Martinus Cornelis. / A method to reveal workload weak-resilience-signals at a rail control post. Engineering Psychology and Cognitive Ergonomics: 11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings. editor / Don Harris. Cham : Springer, 2014. pp. 82-93 (Lecture Notes in Computer Science).

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Siegel, AW & Schraagen, JMC 2014, A method to reveal workload weak-resilience-signals at a rail control post. in D Harris (ed.), Engineering Psychology and Cognitive Ergonomics: 11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings. Lecture Notes in Computer Science, vol. 8532, Springer, Cham, pp. 82-93, 11th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2014, Heraklion, Greece, 22/06/14. https://doi.org/10.1007/978-3-319-07515-0_9

A method to reveal workload weak-resilience-signals at a rail control post. / Siegel, A.W.; Schraagen, Johannes Martinus Cornelis.
Engineering Psychology and Cognitive Ergonomics: 11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings. ed. / Don Harris. Cham: Springer, 2014. p. 82-93 (Lecture Notes in Computer Science; Vol. 8532).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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AB - Reorganization of a rail control post may affect its ability to cope with unexpected disruptions. The term ‘resilience’, the ability to manage spare adaptive capacity when unexpected events occur, encapsulates this situation. This paper focuses on the workload adaptive capacity through a method for revealing workload weak-resilience-signals (WRS). Three different workload measurements are adapted to identify structural changes in workload. The first, executed cognitive task load, targets system activities. The second, integrated workload scale, is a subjective measure. The last, heart rate variability, identifies physiological arousal because of workload. An experiment is designed to identify the workload change and distribution across group members during disruptions. A newly defined Stretch, the reaction of the system to an external cluster-event, is used to reveal a workload WRS. The method is suitable for real-time usage and provides the means for the rail signaler to influence the system through his subjective workload perception.

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Siegel AW, Schraagen JMC. A method to reveal workload weak-resilience-signals at a rail control post. In Harris D, editor, Engineering Psychology and Cognitive Ergonomics: 11th International Conference, EPCE 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings. Cham: Springer. 2014. p. 82-93. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-07515-0_9

A method to reveal workload weak-resilience-signals at a rail control post

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