Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators
Lämsä, J., Mannonen, J., Tuhkala, A., Heilala, V., Helovuo, A., Tynkkynen, I., Lampi, E., Sipiläinen, K., Kärkkäinen, T., & Hämäläinen, R. (2023). Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators. Journal of Computer Assisted Learning, 39(5), 1553-1563. https://doi.org/10.1111/jcal.12817
Julkaistu sarjassa
Journal of Computer Assisted LearningTekijät
Päivämäärä
2023Oppiaine
ResurssiviisausyhteisöKasvatustiedeHuman and Machine based Intelligence in LearningMonitieteinen oppimisen ja opetuksen tutkimusKoulutusteknologia ja kognitiotiedeTekniikkaDigitalization in and for learning and interactionSchool of Resource WisdomEducationHuman and Machine based Intelligence in LearningMultidisciplinary research on learning and teachingLearning and Cognitive SciencesEngineeringDigitalization in and for learning and interactionTekijänoikeudet
© 2023 The Authors. Journal of Computer Assisted Learning published by John Wiley & Sons Ltd
Background
Cognitive load (CL) management is essential in safety-critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR) training programmes for professional learning in these fields.
Objectives
We studied CL management performance through behavioural indicators in authentic VR flight training and explored if and to what extent physiological data was associated with CL management performance.
Methods
The expert (n = 8) and novice pilots (n = 6) performed three approach and landing scenarios with increasing element interactivity. We used video recordings of the training to assess CL management performance based on the behavioural indicators. Then, we used the heart rate (HR) and heart rate variability (HRV) data to study the associations between the physiological data and CL management performance.
Results and Conclusions
The pilots performed effectively in CL management. The experience of the pilots did not remarkably explain the variation in CL management performance. The scenario with the highest element interactivity and an increase in the very low-frequency band of HRV were associated with decreased performance in CL management.
Takeaways
Our study sheds light on the association between physiological indicators and CL management performance, which has traditionally been assessed with behavioural indicators in professional learning in safety-critical fields. Thus, physiological measurements can be used to supplement the assessment of CL management performance, as relying solely on behavioural indicators can be time consuming.
...
Julkaisija
WileyISSN Hae Julkaisufoorumista
0266-4909Asiasanat
kognitiivinen kuormitus cognitive load cognitive load management physiological measurements professional learning simulation virtual reality käyttäytyminen psyykkinen kuormittavuus fysiologiset vaikutukset virtuaalitodellisuus mittarit (mittaus) lentäminen kuormitus simulointi lentäjät tietokoneavusteinen oppiminen
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/183087509
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SA; Profilointi, SALisätietoja rahoituksesta
The work was supported by the Academy of Finland under Grant numbers 292466, 311877, 318905, and 331817.Lisenssi
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