Print Email Facebook Twitter Towards a Mixed Reality Platform for Applied Cognitive Load Evaluation 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 analysisCognitive workloadDismounted soldiersSimulationErgonomicsHuman computer interactionJob analysisMilitary operationsSurveysCognitive performanceCognitive task analysisCognitive workloadsDismounted soldiersRoyal netherlands marine corpsSimulationSituational awarenessTechnological innovationMixed 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 Files To receive the publication files, please send an e-mail request to TNO Library.