Helene Xue

Master of science Helene Xue will Wednesday October 4th, 2023, at 9:30 hold her disputas for the PhD degree in Science. The title of her thesis is:

"Methods for enhanced learning using wearable technologies (A study of the maritime sector)"


Maritime safety is a critical concern due to the potential for serious consequences or accidents for the crew, passengers, environment, and assets resulting from navigation errors or unsafe acts. Traditional training methods face challenges in the rapidly evolving maritime industry, and innovative training methods are being explored. This study explores the use of wearable sensors with biosignal data collection to improve training performance in the maritime sector. Three experiments were conducted progressively to investigate the relationship between navigators' experience levels and biosignal data results, the effects of different training methods on cognitive workload, trainees' stress levels, and their decision-making skills, and the classification of scenario complexity and the biosignal data obtained by the trainees. questionnaire data on stress levels, workload, and user satisfaction of auxiliary training equipment; performance evaluation data on navigational abilities, decision-making skills, and ship-handling abilities; and biosignal data, including electrodermal activity (EDA), body temperature, blood volume pulse (BVP), inter-beat interval (IBI), and heart rate (HR). Several statistical methods and machine-learning algorithms were used in the data analysis. The present dissertation contributes to the advancement of the field of maritime education and training by exploring methods for enhancing learning in complex situations. The use of biosignal data provides insights into the interplay between stress levels and training outcomes in the maritime industry. The proposed conceptual training model underscores the relationship between trainees' stress and safety factors and offers a framework for the development and evaluation of advanced biosignal data-based training systems.

Evaluation Committee

  • Professor Christine Chauvin, South Brittany University National Engineering School (ENSIBS), France (1. Opponent)
  • Dr. Odd Sveinung Hareide, Norwegian Coast Guard (2. Opponent)
  • Professor Lokukaluge Prasad Channa Perera, ITS, UiT, (intern member and leader of the committee)


  • Associate professor Bjørn-Morten Batalden, ITS, UiT (main supervisor)
  • Associate professor Dilip K. Prasad, IFI, UiT
  • Professor Ove Tobias Gudmestad, ITS, UiT

The Disputas will be led by Professor Hilja Huru, Vice dean of Education, Faculty of Science and Technology, UiT.

Streaming site

The disputas and trial lecture will be streamed from these sites:

Disputas (9:30 - 13:00)

Trial Lecture (8:15 - 9:15)


The thesis is available through Munin.

Når: 04.10.23 kl 09.30–13.00
Hvor: Auditorium 1.022, Teknologibygget
Sted: Digitalt, Tromsø
Målgruppe: Ansatte, Studenter, Gjester / eksterne, Inviterte, Enhet
Kontakt: Helge Ravn
E-post: helge.m.ravn@uit.no
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