Title
Towards a Mixed Reality Platform for Applied Cognitive Load Evaluation
Author
van Beurden, M.
Roijendijk, L.
Contributor
Harris, D. (editor)
Publication year
2019
Abstract
Physical load experienced by dismounted military has already been studied extensively. Few studies, however, have focused on the cognitive load of dismounted soldiers during military operations in the field. In this project, a cognitive task analysis (CTA) was performed to study the cognitive workload of a troop commander during troop hasty attack trainings by the Royal Netherlands Marine Corps. Observations, interviews and questionnaires were used to study the cognitive load. The experienced cognitive and physical load was rated as high and the various phases of the attack contributed to this load differently. The CTA revealed that the cognitive tasks during the hasty attack were performed while being physically active or directly after heavy physical effort. This means that cognitive task performance should not be studied in isolation and the presence of physical activity may be an important factor moderating cognitive performance. The CTA further showed that situational awareness, task switching, and communication are important cognitive skills used by the troop commander. These findings are used to develop a mixed reality platform that can be used to investigate the effects of new technological innovations on cognitive performance under conditions mimicking real-life situations, while controlling for potential confounding variables. © Springer Nature Switzerland AG 2019.
Subject
Cognitive task analysis
Cognitive workload
Dismounted soldiers
Simulation
Ergonomics
Human computer interaction
Job analysis
Military operations
Surveys
Cognitive performance
Cognitive task analysis
Cognitive workloads
Dismounted soldiers
Royal netherlands marine corps
Simulation
Situational awareness
Technological innovation
Mixed reality
To reference this document use:
http://resolver.tudelft.nl/uuid:aab9c7f7-d991-4e6a-b3ec-48ab344584c2
DOI
https://doi.org/10.1007/978-3-030-22507-0_10
TNO identifier
868464
Publisher
Springer Verlag
ISBN
9783030225063
ISSN
3029-743
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 16th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, 26 July 2019 through 31 July 2019, 123-136
Document type
conference paper