Using eye tracking data for evaluation and improvement of training process on ship’s navigational bridge simulator

• Autorzy: Muczyński B. , Gucma M. , Bilewski M. , Zalewski P.
• Języki publikacji: EN

Abstrakty

EN

The paper presents basics of the eye tracking methodology and results of preliminary test on multi-purpose marine ship’s navigation bridge simulator. The use of the eye-tracker on the navigation bridge makes it possible to objectively measure the ergonomics of the individual interfaces, as well as to evaluate the decision-making process itself, including the mental workload and stress. In the experiment, officers were faced with an unexpected and sudden situation leading to a collision. The simulated situation required the officer to act immediately and resolutely, taking into account all his/her knowledge about the ship, and interpreting the available data correctly. Outcome of this test was compared with gaze data and it was proved that experienced group with best results suffered lowest level of mental workload and was most efficient In decision making process. Based on those results a possibility of improving simulator training with the use of eye tracking data is discussed.

Słowa kluczowe

EN

eye tracker; gaze data; statistical analysis; mental workload

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe / Akademia Morska w Szczecinie
• Rocznik: 2013
• Tom: nr 33 (105)
• Strony: 75--78
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Muczyński B.

• Maritime University of Szczecin, Faculty of Navigation, Marine Traffic Engineering Centre 70-500 Szczecin, ul. Wały Chrobrego 1–2

autor

Gucma M.

• Maritime University of Szczecin, Faculty of Navigation, Marine Traffic Engineering Centre 70-500 Szczecin, ul. Wały Chrobrego 1–2

autor

Bilewski M.

• Maritime University of Szczecin, Faculty of Navigation, Marine Traffic Engineering Centre 70-500 Szczecin, ul. Wały Chrobrego 1–2

autor

Zalewski P.

• Maritime University of Szczecin, Faculty of Navigation, Marine Traffic Engineering Centre 70-500 Szczecin, ul. Wały Chrobrego 1–2

Bibliografia

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• 6. www.smivision.com; 10.03.2013
• 7. LIU Y., HSUEH P.-Y., LAI J., SANGIN M., NÜSSLI M.-A., DILLENBOURG P.: Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications. IEEE International Conference on Multimedia and Expo, 2009, 898–901.
• 8. WIERSMA J.W.F.: Assessing Vessel Traffic Service Operator Situation Awareness. Delft University of Technology, 2010.
• 9. RATWANI R., TRAFTON J.G.: An Eye Movement Analysis of the Effect of Interruption Modality on Primary Task Resumption. The Journal of the Human Factors and Ergonomics Society, June, 2010, 370–380.