Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators
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 (...
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Veröffentlicht in: | Journal of computer assisted learning 2023-10, Vol.39 (5), p.1553-1563 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
Lay Description
What is currently known about the subject matter
The advantages of VR training systems are clear in the safety‐critical fields.
Cognitive load (CL) theory may help design of VR training.
CL management is part of the professional competence in these fields.
What this paper adds
The pilots performed well in CL management in VR flight training.
The work experience of the pilot was not associated with the performance.
The physiological data improved the explanatory level of the performance.
The implications of study findings for practitioners
Pilots need time to get used to the immersive learning environment.
Typical 1–2‐hour intensive VR flight training is not too demanding.
The physiological dat |
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ISSN: | 0266-4909 1365-2729 |
DOI: | 10.1111/jcal.12817 |