journal article·2025-04-30Open access

Methodology for Conceptual Navigational 3D Chart Assessment Based on Eye Tracking Measures

Jacek Lubczonek, Patryk Biernacik, Izabela Bodus-Olkowska, Anna Borawska, Adrianna Mateja

Applied Sciences· Volume 15· Issue 9

Abstract

The aim of this study was to develop a comprehensive methodology for assessing the effectiveness of conceptual navigation maps. To achieve this, a set of indicators was developed to simplify and standardise the evaluation process. A key challenge in analysing the effectiveness of maps is the variety of ways to assess their effectiveness (eye-tracking measures, visual interpretation, questionnaires), which often leads to ambiguous interpretations. In the initial phase, three separate indicators were established: readability of the map, correctness of map symbol identification, and the time required to identify these objects. For the readability indicator, a correlation analysis with eye-tracking measurements and a heatmap decomposition was carried out, which partly reduced the complexity of the data. This led to the development of a single universal indicator, representing the overall effectiveness of the map in numerical form and allowing a simple comparison of maps. Based on the methodology developed, we were able to conclude that the designed 3D concept maps are more effective than their 2D counterparts. The methodology and universal indicator presented in this study can be applied in practice to evaluate entire series of concept maps and provide designers—including those outside academia—with indicator-based tools to evaluate the effectiveness of maps.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Spatial Cognition and Navigation · Geographic Information Systems Studies · Data Management and Algorithms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Navigation, Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, Poland

Institute of Management, University of Szczecin, Cukrowa 8, 71-004 Szczecin, Poland

Funding

Maritime University of Szczecin · University of Szczecin · Minister of Science

References (72)

Show source-provided references
1. Nautical cartography competences and their effect to the realisation of a worldwide Electronic Navigational Charts database, the performance of ECDIS and the fulfilment of IMO chart carriage requirements10.1016/j.marpol.2016.10.007 ↗
2. International Maritime Organization (IMO) (2024). SOLAS: International Convention for the Safety of Life at Sea, Consolidated Edition 2024, International Maritime Organization.
3. International Hydrographic Organization (IHO) (2024). S-101 Electronic Navigational Chart (ENC), International Hydrographic Bureau. [2.0.0 ed.]. Available online: https://iho.int/en/standards-and-specifications.
4. International Hydrographic Organization (IHO) (2015). IHO S-52—Specifications for Chart Content and Display Aspects of ECDIS, International Hydrographic Bureau. [6.1.1 ed.]. Available online: https://iho.int/en/standards-and-specifications.
5. What is a nautical chart, really? Uncovering the geometry of early modern nautical charts10.1016/j.culher.2017.09.008 ↗
6. Popovich, V.V., Schrenk, M., and Korolenko, K.V. (2007). 3D Graphics Applied to Maritime Safety. Information Fusion and Geographic Information Systems, Springer.10.1007/978-3-540-37629-3 ↗
7. Fisher, P.F. (2004). 3D Geographic Visualization: The Marine GIS. Developments in Spatial Data Handling, Springer.
8. Web-based 4D visualization of marine geo-data using WebGL10.1080/15230406.2014.901901 ↗
9. Duan, H., Li, Y., and Han, H. (2012, January 19–21). Progress of the research concerning 3D visualization of marine water environment in China. Proceedings of the 2012 International Symposium on Geomatics for Integrated Water Resources Management (GIWRM 2012), Lanzhou, China.
10. Ruas, A., and Gold, C. (2008). Marine GIS: Progress in 3D Visualization for Dynamic GIS. Headway in Spatial Data Handling, Springer.10.1007/978-3-540-68566-1 ↗
11. Applications and Benefits for the Development of Cartographic 3D Visualization Systems in Support of Maritime Safety
12. Multi-dimensional visualization of large-scale marine hydrological environmental data10.1016/j.advengsoft.2016.01.009 ↗
13. Naus, K., and Makar, A. (2004, January 17–19). Conception of Spatial Presentation of ENC. Proceedings of the XIV International Scientific and Technical Conference the Part of Navigation in Support of Human Activity on the Sea, Gdynia, Poland.
14. Generating 3D Depiction for a Future ECDIS Based on Digital Earth10.1017/S0373463314000381 ↗
15. Feixiang, Z.X., Yingjun, Z.J., and Wenehai, S.H. (August, January 30). Web marine spatial information service based on electronic nautical charts. Proceedings of the Eighth Acis International Conference On Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Qingdao, China.
16. Web-based nautical charts automated compilation from open hydrospatial data10.1017/S0373463322000327 ↗
17. The integration of nautical charts to reconstruct 3D harbor area models and apply assisted navigation10.1007/s11069-012-0516-7 ↗
18. Toward a 3D marine cadastre in support of good ocean governance: A review of the technical framework requirements10.1016/j.compenvurbsys.2003.11.002 ↗
19. Fusing multiscale charts into 3D ENC systems based on underwater topography and remote sensing image
20. Mathematical Model of the Dynamic Perspective Projection for Presentation of ENC
21. An approach to 3D model fusion in GIS systems and its application in a future ECDIS10.1016/j.cageo.2016.01.008 ↗
22. ABPP Motion Simulator Based on 3D ENC10.1515/aon-2017-0010 ↗
23. Porathe, T. (2008, January 19–21). 3-D Nautical Charts as Decision Support for Land Based Piloting. Proceedings of the 1st International Ship-Port-Interface Conference (ISPIC 2008), Bremen, Germany.
24. Ray, C., Goralski, R., Claramunt, C., and Gold, C. (2011). Real-time 3D monitoring of marine navigation. Lecture Notes in Geoinformation and Cartography, Springer.10.1007/978-3-642-19766-6_14 ↗
25. (2025, January 09). Garmin. Available online: https://www.garmin.com/pl-PL/p/866230#specs.
26. Krassanakis, V., and Cybulski, P. (2021). Eye tracking research in cartography: Looking into the future. ISPRS Int. J. Geo-Inf., 10.10.3390/ijgi10060411 ↗
27. Templin, T., Popielarczyk, D., and Gryszko, M. (2022). Using Augmented and Virtual Reality (AR/VR) to Support Safe Navigation on Inland and Coastal Water Zones. Remote Sens., 14.10.3390/rs14061520 ↗
28. Gralak, R., Muczyński, B., and Przywarty, M. (2021). Improving Ship Maneuvering Safety with Augmented Virtuality Navigation Information Displays. Appl. Sci., 11.10.3390/app11167663 ↗
29. Raymarine ClearCruise, A.R. (2025, January 09). Available online: https://www.raymarine.com/en-us/our-products/marine-cameras/augmented-reality.
30. Furuno (2025, January 09). ENVISION AR Navigation System. Available online: https://www.furuno.com/special/en/envision/#page-header.
31. Gazzaniga, M.S. (2018). Cognitive Neuroscience: The Biology of the Mind. W.W. Norton & Company.
32. Cognitive Neuroscience in Information Systems Research10.4018/JDM.2016010103 ↗
33. Nermend, K., and Łatuszyńska, M. (2017). The Implementation of Cognitive Neuroscience Techniques for Fatigue Evaluation in Participants of the Decision-Making Process. Neuroeconomic and Behavioral Aspects of Decision Making, Springer. Springer Proceedings in Business and Economics.10.1007/978-3-319-62938-4 ↗
34. Borawska, A., and Mateja, A. (2023, January 10–12). The use of cognitive neuroscience tools for evaluating the cognitive overload caused by social advertising. Proceedings of the AMCIS 2023 Proceedings, Panama City, Panama. Available online: https://aisel.aisnet.org/amcis2023/sig_core/sig_core/4.
35. Cognitive Map-Design Research in the Twentieth Century: Theoretical and Empirical Approaches10.1559/152304002782008503 ↗
36. Eye-tracking in map use, map user and map usability research: What are we looking for?10.1080/23729333.2023.2189064 ↗
37. Zastosowanie okulografii (techniki eye-tracking) w kartografii
38. Evaluating the effectiveness of different cartographic design variants for influencing route choice10.1080/15230406.2020.1855251 ↗
39. Effects of cartographic elevation visualizations and map-reading tasks on eye movements10.1179/1743277414Y.0000000087 ↗
40. Bargiota, T., Mitropoulos, V., Krassanakis, V., and Nakos, B. (2013, January 25–30). Measuring locations of critical points along cartographic lines with eye movements. Proceedings of the 26th International Cartographic Conference, Dresden, Germany.
41. Havelková, L., and Gołębiowska, I.M. (2019). What went wrong for bad solvers during thematic map analysis? Lessons learned from an eye-tracking study. ISPRS Int. J. Geo-Inf., 9.10.3390/ijgi9010009 ↗
42. Empirical evaluation of four-variate thematic maps for expert users
43. Evaluating the Effectiveness of Interactive Map Interface Designs: A Case Study Integrating Usability Metrics with Eye-Movement Analysis10.1559/152304009787340197 ↗
44. Dong, W., Jiang, Y., Zheng, L., Liu, B., and Meng, L. (2018). Assessing map-reading skills using eye tracking and Bayesian structural equation modelling. Sustainability, 10.10.3390/su10093050 ↗
45. Eye-tracking study on different perception of 2D and 3D terrain visualisation
46. Differences between 2D maps and virtual globe containing point symbols: An eye-tracking study
47. Liu, B., Dong, W., and Meng, L. (2017). Using eye tracking to explore the guidance and constancy of visual variables in 3D visualization. ISPRS Int. J. Geo-Inf., 6.10.3390/ijgi6090274 ↗
48. Exploring differences of visual attention in pedestrian navigation when using 2D maps and 3D geo-browsers10.1080/15230406.2016.1174886 ↗
49. Eye tracking to explore the impacts of photorealistic 3D representations in pedestrian navigation performance
50. Evaluating differences in spatial visual attention in wayfinding strategy when using 2D and 3D electronic maps10.1007/s10708-014-9605-3 ↗
51. Overreliance on ECDIS Technology: A Challenge for Safe Navigation
52. Weintrit, A. (2009). The Electronic Chart Display and Information System (ECDIS): An Operational Handbook, CRC Press.10.1201/9781439847640 ↗
53. International Hydrographic Organization (IHO) (2018). S-100 Universal Hydrographic, International Hydrographic Bureau. Data Model (Edition 4.0.0).
54. Application of Eye-Tracking Techniques in Human Factor Research in Marine Operations. Challenges and Methodology
55. The Use of Eye Tracking in Aviation
56. (2025, April 03). TRESCO. Available online: https://www.tresco.eu/en/navigis-river/.
57. (2025, April 03). mKart. Available online: https://mkartapp.com/about-enc.
58. Marine Electronic Chart with 3D Presentation of Navigational Information (Morska mapa elektroniczna z trójwymiarowym zobrazowaniem informacji nawigacyjnej)
59. Kolbe, T.H., Kutzner, T., Smyth, C.S., Nagel, C., Roensdorf, C., and Heazel, C. (2025, April 26). OGC City Geography Markup Language (CityGML) Part 1: Conceptual Model Standard (Version 3.0.0). Open Geospatial Consortium. Available online: http://www.opengis.net/doc/IS/CityGML-1/3.0.
60. (2025, April 03). iMotions Fixation and Saccade Classification with the I-VT Filter. Available online: https://help.imotions.com/docs/fixation-and-saccade-classification-with-the-i-vt-filter.
61. (2025, April 03). iMotions Basic Heatmap Explanation and Generation. Available online: https://help.imotions.com/docs/basic-heatmap-explanation-and-generation.
62. Shapiro, L.G., and Stockman, G.C. (2001). Computer Vision, Prentice Hall.
63. An Automatic Multilevel Image Thresholding Using Relative Entropy and Meta-Heuristic Algorithms10.3390/e15062181 ↗
64. Devetak, I., and Glažar, S.A. (2021). Cognitive Processes and Eye-Tracking Methodology. Applying Bio-Measurements Methodologies in Science Education Research, Springer.10.1007/978-3-030-71535-9 ↗
65. Stuart, S. (2021). Eye Movement in User Experience and Human-Computer Interaction Research. Eye Tracking: Background, Methods, and Applications, Springer.
66. Analytical Estimation of Map Readability10.3390/ijgi4020418 ↗
67. Sensitive Questions in Surveys10.1037/0033-2909.133.5.859 ↗
68. How We See Ourselves and How We See Others10.1126/science.1154199 ↗
69. Selection Bias in Web Surveys10.1111/j.1751-5823.2010.00112.x ↗
70. International Hydrographic Organization (IHO) (2000). IHO S-57—Transfer Standard for Digital Hydrographic Data, International Hydrographic Bureau. [3.1 ed.]. Available online: https://iho.int/en/standards-and-specifications.
71. Inland ENC Harmonization Group (IEHG) (2025, April 26). IENC Encoding Guide, Edition 2.4.1. Available online: https://ienc.openecdis.org/downloads/IENC_EG_2_4_1_adopted_20180320.pdf.
72. Yang, M., and Li, X. (2021). A visual attention model based on eye tracking in 3D scene maps. ISPRS Int. J. Geo-Inf., 10.10.3390/ijgi10100664 ↗