Methods for enhanced learning using wearable technologies. A study of the maritime sector
Paper I: Xue, H., Sharma, P. & Wild, F. (2019). User satisfaction in augmented reality-based training using Microsoft HoloLens. Computers, 8(1), 9. Also available in Munin at https://hdl.handle.net/10037/16162.
Paper II: Xue, H., Batalden, B.-M. & Røds, J.-F. (2020). Development of a SAGAT query and simulator experiment to measure situation awareness in maritime navigation. In Stanton, N. (Ed.), Advances in Human Aspects of Transportation, AHFE 2020, Advances in Intelligent Systems and Computing, vol. 1212. Springer, Cham. Also available at https://doi.org/10.1007/978-3-030-50943-9_59.
Paper III: Xue, H., Batalden, B.-M., Sharma, P., Johansen, J.A. & Prasad, D.K. (2021). Biosignals based driving skill classification using machine learning: A case study of maritime navigation. Applied Sciences, 11(20), 9765. Also available in Munin at https://hdl.handle.net/10037/23078
Paper IV: Xue, H., Røds, J.F., Haugseggen, Ø., Christensen, A.J., Batalden, B.-M. & Gudmestad, O.T. A study on the effects of rapid training method on ship handling, navigation and decision-making skills under stressful situations. (Submitted manuscript).
Paper V: Xue, H., Haugseggen, Ø., Røds, J.-F., Batalden, B.-M. & Prasad, D.K. Assessment of stress levels based on biosignal during the simulator-based maritime navigation training and its impact on sailing performance. (Submitted manuscript).
PublisherUiT Norges arktiske universitet
UiT The Arctic University of Norway
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