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2022 Journal Impact Factor - 0.6
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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A Neuroscience Approach in User Satisfaction Evaluation in Maritime Education
1 University of the Aegean, Chios, Greece
ABSTRACT: The evaluation with the use of neuroscience methods and tools of a student?s satisfaction ? happiness from using the e-learning system (e-learning platforms, e-games, simulators) poses an important research subject matter. In the present paper, it is presented a research on course conducted in the Marine Training Centre of Piraeus. In particular, this research with the use of a neuroscience tools-gaze tracker and voice recording (lexical analysis), investigates the amount of satisfaction of the students using Engine room simulator (ERS 5L90MCL11, Kongsberg 2003 AS) and ECDIS system by monitoring the users? eye movement and speech in combination with the use of qualitative and quantitative methods. The ultimate goal of this research is to find and test the critical factors that influence the educational practice and user satisfaction of e-learning marine systems and the ability to conduct full-time system control by the marine crew.
KEYWORDS: Maritime Education and Training (MET), Maritime Education, User Needs, Neuroscience Methods, e-Learning System, MET System in Greece, User Satisfaction, Engine Room Simulator
REFERENCES
Asteriadis, S. Tzouveli, P. Karpouzis, K. Kollias, S. 2009. Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment, Multimedia Tools and Applications, Springer, Volume 41, Number 3 / February, pp. 469-493.
Brooke, J. 1996. SUS: A “quick and dirty” usability scale. In: Jordan, P. W., Thomas, B., Weerdmeester, B. A., McClelland (eds.) Usability Evaluation in Industry, Taylor & Francis, London, UK pp. 189-194.
Cheng, D. Zhao, Z. Lu, J. Tu, D. 2010. A Kind of Modelling and Simulating Method for Eye Gaze Tracking HCI System, Proceedings of 3rd International Congress on Image and Signal Processing (CISP2010), IEEE, EMB, pp. 511-514.
Cournia, N. Smith, J. D. Duchowski, A.T. 2003. Gaze- vs. hand-based pointing in virtual environments, in: CHI ‘03 (Ed.), CHI ‘03 extended abstracts on Human factors in computing systems, ACM Press, Ft. Lauderdale, Florida, USA, pp. 772–773.
Dix, A. Finlay, J. Abowd, G. D. Beale, R. 2004. Human-Computer Interaction, UK:Pearson Education Limited.
Duchowski, A. T. 2007. Eye tracking methodology: Theory and practice, NY:Springer.
Fontaine, J. R. Scherer, K. R. Roesch, E. B. Ellsworth, P. C. 2007. The world of emotions is not two-dimensional , Psychological Science, 18(2), pp. 1050-1057.
Fotopoulou, A. Mini, M. Pantazara, M. Moustaki, A. 2009. “La combinatoire lexicale des noms de sentiments en grec moderne”, in Le lexique des emotions, I. Navacova and A. Tutin, Eds. Grenoble: ELLUG.
Galin, D. and Ornstein, R. 1974. Individual Differences in Cognitive Style—I. Reflective Eye Movements, Neuropsychologia, vol. 12, pp. 367-376.
Hannus M, Hyona J. 1999. Utilization of illustration during learning of science textbook passages among low- and high-ability children, Contemporary Educational Psychology 24, pp.95-123.
Hansen, D.W., Qiang, Ji 2010. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol.32, Is.3, pp.478-500.
Hagerty M, Just M A. 1993. Constructing mental models of machines from text and diagrams, Journal of Memory and Language 32, pp.71-42
Holsanova J, Holmberg N, Holmqvist K. 2009. Reading information graphics: the role of spatial contiguity and dual attentional guidance, Applied Cognitive Psychology 23, pp.1215-26.
Hyona J, Niemi P. 1990. Eye movements during repeated reading of a text, Acta Psychologica 73, pp. 259-80.
Jacob, R. 1990. What you look at is what you get: eye movement-based interaction techniques, in: CHI ‘90: Proceedings of the SIGCHI conference on Human factors in computing systems, ACM, Seattle, Washington, United States, pp. 11–18.
Just M A, Carpenter P A. 1980. A Theory of reading: From eye fixations to comprehension, Psychological Review 87, pp. 329-55.
IMO-International, Maritime Organization, 2003. Issues for training seafarers resulting from the implementation on board technology, STW 34/INF.6.
Isokoski, P. Martin, P. B. 2006. Eye Tracker Input in First Person Shooter Games, in: Proceedings of the 2nd Conference on Communication by Gaze Interaction: Communication by Gaze Interaction – COGAIN 2006: Gazing into the Future, Turin, Italy, pp. 78–81.
Istance, H. Vickers, S. Hyrskykari, A. 2009. Gaze-based interaction with massively multiplayer on-line games, in: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, ACM, Boston, MA, USA, pp. 4381–4386.
Kotzabasis, P. 2011. Human-Computer Interaction: Principles, methods and examples, Athens, Kleidarithmos (in Greek).
Lambov, D. Pais, S. Dias, G. 2011. Merged Agreement Algorithms for Domain Independent Sentiment Analysis, Pacific Association, For Computational Linguistics (PACLING 2011), Procedia - Socila and Behavioural Sciences, 27, pp. 248-257.
Lazarous, R. S. 1982. Thoughts on the Relation between Emotion and Cognition, American Psychologist, 24, pp. 210-222.
Malatesta, L. 2009. “ Human – Computer Interaction based in analysis and synthesis optical data”, Phd Thesis, Athens (in Greek), NTUA.
Maughan, L. Gutnikov, S. Stevens, R. 2007. Like more, look more, look more, like more: The evidence from eye-tracking, The Journal of Brand Management 14 (2007) 335–342, doi:10.1057/palgrave.bm.2550074.
Mueller, S.C. Jackson, C. P. T. and Skelton, R.W. 2008. Sex Differences in a Virtual Water Maze: An Eye Tracking and Pupillometry Study, Behavioural Brain Research, vol. 193, pp. 209-215.
Nacke L.E. Stellmach, S. Sasse, D. Niesenhaus, J. Dachselt, R 2011. LAIF: A logging and interaction framework for gaze-based interfaces in virtual entertainment environments, Entertainment Computing 2 , pp. 265–273.
Pinker, S. Jackendorff, R. 2005. The faculty of language: what’s special about it?, Cognition, 95, pp. 201-236.
Papachristos, D. Alafodimos, K. Nikitakos, N. 2012. Emotion Evaluation of Simulation Systems in Educational Practice, Proceedings of the International Conference on E-Learning in the Workplace (ICELW12), 13-15 June, NY: Kaleidoscope Learning, www.icelw.org.
Rayner K. 1998. Eye movements in reading and information processing: 20 years of research, Psychological Bulletin 124, pp. 372-422.
Rayner, K. Xingshan, L. Williams, C.C. Kyle, R. C. and Arnold, W. D. 2007. Eye Movements during Information Processing Tasks: Individual Differences and Cultural Effects, Vision Research,vol. 47, pp. 2714-2726.
Schiessl M, Duda S, Tholke A, Fischer R. 2003. Eye tracking and its application isn usability and media research. “Sonderheft: blickbewegung” in MMI-interaktiv Journal 2003; 6.
Stellmach, S. L. Nacke, L. R. Dachselt, R. 2010. Advanced gaze visualizations for three dimensional virtual environments. in: Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, ETRA, Austin, Texas, pp. 109–112.
Tsianos, N., Lekkas, Z., Germanakos, P., Mourlas, C., Samaras, G 2009. An Experimental Assessment of the Use of Cognitive and Affective Factors in Adaptive Educational Hypermedia, IEEE Transactions on Learning Technologies, Vol. 2, No. 3, July-September 2009, pp. 249-258.
Tsoukalas, V. Papachristos, D. Mattheu, E. Tsoumas, N. 2008. Marine Engineers’ Training: Educational Assessment of Engine Room Simulators, WMU Journal of Maritime Affairs, Vol.7, No.2, pp.429-448, ISSN 1651-436X, Current Awareness Bulletin, Vol. XX-No.10, Dec. 2008, IMO Maritime Knowledge Centre, pp.7.
Van Gog T, Scheiter K. 2010. Eye tracking as a tool to study and enhance multimedia learning. Learning and Instruction 20, pp.95-99.
Verschaffel L, De Corte E, Pauwels A. 1992. Solving compare word problems: An eye movement test of Lewis and Mayer’s consistency hypothesis, Journal of Educational Psychology 84, pp.85-94.
Vosniadou, St. 2001. Introduction in Psychology, Vol. I, Athens, Gutenberg (in Greek), 2001.
Zajonc, R. B. 1984. On the Primacy of Affect, American Psychologist, 39, pp. 117-123.
Citation note:
Papachristos D., Nikitakos N., Lambrou M.A.: A Neuroscience Approach in User Satisfaction Evaluation in Maritime Education. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 3, doi:10.12716/1001.07.03.01, pp. 319-326, 2013
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Dimitris Papachristos:
6603411405
ikjEP3cAAAAJMaria Lambrou:
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