MATB for assessing different mental workload levels.

MATB NASA-TLX electrophysiology environmental constraints mental workload monitoring performance pilot

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2024
Historique:
received: 27 03 2024
accepted: 20 06 2024
medline: 7 8 2024
pubmed: 7 8 2024
entrez: 7 8 2024
Statut: epublish

Résumé

Multi-Attribute Task Battery (MATB) is a computerized flight simulator for aviation-related tasks, suitable for non-pilots and available in many versions, including open source. MATB requires the individual or simultaneous execution of 4 sub-tasks: system monitoring (SYSMON), tracking (TRACK), communications (COMM), and resource management (RESMAN). Fully customizable, the design of test duration, number of sub-tasks used, event rates, response times and overlap, create different levels of mental load. MATB can be combined with an additional auditory attention (Oddball) task, or with physiological constraints (i.e., sleep loss, exercise, hypoxia). We aimed to assess the main characteristics of MATB design for assessing the response to different workload levels. We identified and reviewed 19 articles for which the effects of low and high workload were analyzed. Although MATB has shown promise in detecting performance degradation due to increase workload, studies have yielded conflicting or unclear results regarding MATB configurations. Increased event rates, number of sub-tasks (multitasking), and overlap are associated with increased perceived workload score (ex. NASA-TLX), decreased performance (especially tracking), and neurophysiological responses, while no effect of time-on-task is observed. The median duration used for the test is 20 min (range 12-60) with a level duration of 10 min (range 4-15). To assess mental workload, the median number of stimuli is respectively 3 events/min (range 0.6-17.2) for low, and 23.5 events/min (range 9-65) for high workload level. In this review, we give some recommendations for standardization of MATB design, configuration, description and training, in order to improve reproducibility and comparison between studies, a challenge for the future researches, as human-machine interaction and digital influx increase for pilots. We also open the discussion on the possible use of MATB in the context of aeronautical/operational constraints in order to assess the effects combined with changes in mental workload levels

Identifiants

pubmed: 39108543
doi: 10.3389/fphys.2024.1408242
pii: 1408242
pmc: PMC11300324
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1408242

Informations de copyright

Copyright © 2024 Pontiggia, Gomez-Merino, Quiquempoix, Beauchamps, Boffet, Fabries, Chennaoui and Sauvet.

Déclaration de conflit d'intérêts

Author AB was employed by the company Thales AVS. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Anaïs Pontiggia (A)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Danielle Gomez-Merino (D)

URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Michael Quiquempoix (M)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Vincent Beauchamps (V)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Alexis Boffet (A)

Laboratoire IMS, CNRS, UMR 5218, Université de Bordeaux, Talence, France.
Thales AVS, Mérignac, France.

Pierre Fabries (P)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Mounir Chennaoui (M)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Fabien Sauvet (F)

Département Recherche, Expertise et formation aéromédicale (REF Aéro), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
URP 7330 VIFASOM, Université Paris Cité, Hôtel Dieu, Paris, France.

Classifications MeSH