Application of Markov chains to a navigator visual attention model

• Autorzy: Muczyński B. , Gucma M. , Bilewski M.

Identyfikatory

DOI

10.17402/124

• Języki publikacji: EN

Abstrakty

EN

This paper presents initial results from a series of eye-tracking experiments on a Full Mission Bridge simulator. The aim of this research was to develop a stochastic model of a navigator’s attention distribution during their navigational watch. Such model could be used as a tool for workload and usability studies for navigators and navigational equipment interfaces. A structure of the model is discussed together with the evaluation of Markov chains as a main modelling tool. Initial results are presented and discussed. It is suggested that 1st order Markov chains are not fully applicable for this problem. A combination of the 1st and higher-order Markov chains will be applied in the next stage of research.

Słowa kluczowe

EN

eye tracking; usability studies; stochastic model; marine simulator; Markov chains; navigation

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2016
• Tom: nr 46 (118)
• Strony: 95--100
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Muczyński B.

• Maritime University of Szczecin, Marine Traffic Engineering Centre 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland

autor

Gucma M.

• Maritime University of Szczecin, Marine Traffic Engineering Centre 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland

autor

Bilewski M.

• Maritime University of Szczecin, Marine Traffic Engineering Centre 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland

Bibliografia

• 1. Bagci, A.M., Ansari, R., Khokhar, A. & Cetin, E. (2004) Eye tracking using Markov models. in Pattern Recognition. ICPR 2004. Proceedings of the 17th International Conference, vol. 3, pp. 818–821, August 23–26, 2004.
• 2. Duchowski, A. (2007) Eye Tracking Methodology. London: Springer.
• 3. Glandrup, M. (2013) Improving Situation Awareness in the Maritime Domain, in Situation Awareness with Systems of Systems. New York: Springer Science+Business Media.
• 4. Goldberg, J.H. & Kotval, X.P. (1999) Computer interface evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics 24, 6. pp. 631–645.
• 5. Hetherington, C., Flin, R. & Mearns, K. (2006) Safety in shipping: The human element. Journal of Safety Research 37, 4. pp. 401–411.
• 6. Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H. & van de Weijer, J. (2011) Eye tracking: A comprehensive guide to methods and measures. Oxford: Oxford University Press.
• 7. IMO MSC (2015) Guideline on Software Quality Assurance and Human-Centred Design for e-navigation. London.
• 8. Jacob, R.J.K. & Karn, K.S. (2003) Eye tracking in humancomputer interaction and usability research: Ready to deliver the promises (Section Commentary). In J. Hyona, R. Radach & H. Deubel (Eds.), The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research. pp. 573– 605. Amsterdam: Elsevier Science.
• 9. Kimura, A., Pang, D., Takeuchi, T., Yamato, J. & Kashino, K. (2008) Dynamic Markov random fields for stochastic modelling of visual attention. Pattern Recognition. ICPR 2008. 19th International Conference, pp. 1–5, 8–11 Dec. 2008, Tampa, FL.
• 10. Muczyński, B., Gucma, M. & Gucma, L. (2013) Method of officer of the watch performance analysis by gaze data and eye metrics with use of marine ship’s simulator researches. European Journal of Navigation 11, 3. pp. 11–17.
• 11. Pang, D., Kimura, A., Takeuchi, T., Yamato, J. & Kashino, K. (2008) A stochastic model of selective visual attention with a dynamic Bayesian network. Multimedia and Expo, IEEE International Conference, pp. 1073–1076, June 23–26, 2008, Hannover.
• 12. Zhengjiang, L. & Zhaolin, W. (2003) The Human Elements in Ship Collisions at Sea. Asia Navigation Conference, 4th September, Kobe, Japan.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniajacą naukę.