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Suitability of Physiological, Self-report and Behavioral Measures for Assessing Mental Workload in Pilots

Boumann, Hilke and Hamann, Anneke and Biella, Marcus and Carstengerdes, Nils and Sammito, Stefan (2023) Suitability of Physiological, Self-report and Behavioral Measures for Assessing Mental Workload in Pilots. In: 20th International Conference, EPCE 2023, Held as Part of the 25th HCI International Conference, HCII 2023, pp. 3-20. Springer Nature Switzerland AG. 25th International Conference on Human-Computer Interaction (HCI International) 2023, 2023-07-23 - 2023-07-28, Kopenhagen, Dänemark. doi: 10.1007/978-3-031-35392-5_1. ISBN 978-3-031-35391-8. ISSN 0302-9743.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-031-35392-5_1

Abstract

Adaptive automation shall support users in a flexible way. One way to achieve this could be by monitoring cognitive states of pilots in order to anticipate an individual’s need for support. A special challenge lies in choosing methods that enable a valid measurement of the cognitive state in question since different measures are associated with distinct strengths and weaknesses. For example, practical considerations like environmental factors, wearing comfort and intrusiveness have to be considered. The objective of this paper is to provide a collection of physiological, self-report and behavioral measures that can be applied to assess mental workload in pilots, and to discuss their advantages and disadvantages for this purpose. A targeted literature search was conducted to this end. The comparisons drawn in this paper reveal that a multi-method approach is preferable to relying on a single measure. In this regard, however, there is no one-size-fits-all solution and it is strongly advised to consider the selection of appropriate measures carefully for each specific research question and application context.

Item URL in elib:https://elib.dlr.de/198675/
Document Type:Conference or Workshop Item (Speech)
Title:Suitability of Physiological, Self-report and Behavioral Measures for Assessing Mental Workload in Pilots
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Boumann, HilkeUNSPECIFIEDhttps://orcid.org/0000-0002-2201-9234145871037
Hamann, AnnekeUNSPECIFIEDhttps://orcid.org/0000-0001-6312-5116UNSPECIFIED
Biella, MarcusUNSPECIFIEDhttps://orcid.org/0000-0003-4836-4180UNSPECIFIED
Carstengerdes, NilsUNSPECIFIEDhttps://orcid.org/0000-0002-4056-1502UNSPECIFIED
Sammito, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:July 2023
Journal or Publication Title:20th International Conference, EPCE 2023, Held as Part of the 25th HCI International Conference, HCII 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1007/978-3-031-35392-5_1
Page Range:pp. 3-20
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Harris, DonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, Wen-ChinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Springer Nature Switzerland AG
Series Name:Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence, volume 14017)
ISSN:0302-9743
ISBN:978-3-031-35391-8
Status:Published
Keywords:mental workload, psychophysiology, aviation, pilots
Event Title:25th International Conference on Human-Computer Interaction (HCI International) 2023
Event Location:Kopenhagen, Dänemark
Event Type:international Conference
Event Start Date:23 July 2023
Event End Date:28 July 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Human Factors
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Systemergonomy
Deposited By: Boumann, Hilke
Deposited On:03 Nov 2023 08:37
Last Modified:24 Apr 2024 20:59

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