Skip to main content
Log in

Evaluating differences in spatial visual attention in wayfinding strategy when using 2D and 3D electronic maps

  • Published:
GeoJournal Aims and scope Submit manuscript

Abstract

With the evolution of mapping technology, electronic maps are gradually evolving from traditional 2D formats, and increasingly using a 3D format to represent environmental features. However, these two types of spatial maps might produce different visual attention modes, leading to different spatial wayfinding (or searching) decisions. This study designs a search task for a spatial object to demonstrate whether different types of spatial maps indeed produce different visual attention and decision making. We use eye tracking technology to record the content of visual attention for 44 test subjects with normal eyesight when looking at 2D and 3D maps. The two types of maps have the same scope, but their contents differ in terms of composition, material, and visual observation angle. We use a t test statistical model to analyze differences in indices of eye movement, applying spatial autocorrelation to analyze the aggregation of fixation points and the strength of aggregation. The results show that aside from seek time, there are significant differences between 2D and 3D electronic maps in terms of fixation time and saccade amplitude. This study uses a spatial autocorrelation model to analyze the aggregation of the spatial distribution of fixation points. The results show that in the 2D electronic map the spatial clustering of fixation points occurs in a range of around 12° from the center, and is accompanied by a shorter viewing time and larger saccade amplitude. In the 3D electronic map, the spatial clustering of fixation points occurs in a range of around 9° from the center, and is accompanied by a longer viewing time and smaller saccadic amplitude. The two statistical tests shown above demonstrate that 2D and 3D electronic maps produce different viewing behaviors. The 2D electronic map is more likely to produce fast browsing behavior, which uses rapid eye movements to piece together preliminary information about the overall environment. This enables basic information about the environment to be obtained quickly, but at the cost of the level of detail of the information obtained. However, in the 3D electronic map, more focused browsing occurs. Longer fixations enable the user to gather detailed information from points of interest on the map, and thereby obtain more information about the environment (such as material, color, and depth) and determine the interaction between people and the environment. However, this mode requires a longer viewing time and greater use of directed attention, and therefore may not be conducive to use over a longer period of time. After summarizing the above research findings, the study suggests that future electronic maps can consider combining 2D and 3D modes to simultaneously display electronic map content. Such a mixed viewing mode can provide a more effective viewing interface for human–machine interaction in cyberspace.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Adams, R. J. (1987). An evaluation of color preference in early infancy. Infant Behavior and Development, 10(2), 143–150.

    Article  Google Scholar 

  • Altonen, A., Hyrskykari, A., & Räihä, K. (1998). 101 Spots, or how do users read menus? CHI 98 Human Factors in Computing Systems, ACM Press, pp. 132–139.

  • Anselin, L. (1995). Local indicators of spatial association–LISA. Geographical Analysis, 27(2), 94–115.

    Google Scholar 

  • Antes, J. R. (1974). The time course of picture viewing. Journal of Experimental Psychology, 103(1), 62–70.

    Article  Google Scholar 

  • Bednarz, R. S., & Lee, J. (2011). The components of spatial thinking: empirical evidence. Procedia—Social and Behavioral Sciences, 21, 103–107.

    Article  Google Scholar 

  • Berlyne, D. (1971). Aesthetics and Psychobiology. New York: Appleton Century Crofts Press.

    Google Scholar 

  • Burigat, S., & Chittaro, L. (2007). Navigation in 3D virtual environments: Effects of user experience and location-pointing navigation aids. International Journal of Human-Computer Studies, 65, 946–958.

    Article  Google Scholar 

  • Carrasco, M. (2011). Vision research: The pase 25 years. Vision Research, 52, 1484–1525.

    Article  Google Scholar 

  • Chen, C. H., Lai, H. D., & Chiu, F. C. (2010). Eye Tracking Technology for Learning and Education. Journal of Research in Education Science, 55(4), 39–68.

    Google Scholar 

  • Christou, C., & Bülthoff, H. (2000). Using realistic virtual environments in the study of spatial encoding. Spatial Cognition II, 1849, 317–332. doi:10.1007/3-540-45460-823.

    Article  Google Scholar 

  • Cliff, A. D., & Ord, J. K. (1973). Spatial autocorrelation. London: Pion.

    Google Scholar 

  • Cockburn, A., & McKenzie, B. (2002). Evaluating the Effectiveness of Spatial Memory in 2D and 3D Physical and Virtual Environments. SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, pp. 203–210.

  • David, N., & Lawrence, S. (1971). Scanpaths in saccadic eyemovements while viewing and recognizing patterns. Vision Research, 11(9), 929–942.

    Article  Google Scholar 

  • De Lucio, J. V., Mohamadian, M., Ruiz, J. P., Banayas, J., & Bernaldez, F. G. (1996). Visual land Visual landscape exploration as revealed by eye movement tracking. Landscape and Urban Planning, 34(8), 135–142.

    Article  Google Scholar 

  • Downs, M. D., & Stea, D. (1973). Cognitive maps and spatial behavior: Process and products. Image and environment (pp. 8–26). Chicago: Aldine Publishing Company.

    Google Scholar 

  • Ellis, S., Candrea, R., Misner, J., Craig, C. S., Lankford, C. P., & Hutshinson, T. E. (1998). Windows to the soul? What eye movements tell us about software usability? In Proceedings of the Usability Professionals’ Association Conference, 1998, 151–178.

    Google Scholar 

  • Erol, O., Turkan, K., Engin, K., & Kursat, C. (2009). An eye-tracking study of how color coding affects multimedia learning. Computers & Education, 53(2), 445–453.

    Article  Google Scholar 

  • Fletcher, W. A., Hain, T. C., & Zee, D. S. (1990). Optokinetic nystagmus and afternystagmus in human beings: Relationship to nonlinear processing of information about retinal slip. Experimental Brain Research81(1), 46–52.

  • Galley, N. (1993). The evaluation of the electrooculogram as a psychophyisiological measuring instrument in the driver study of driver behaviour. Ergonomics, 36(9), 1063–1070.

    Article  Google Scholar 

  • Gerald, L. L. (1997). Consumer Eye Movement Patterns on Yellow Pages Advertising. Journal of Advertising, 26, 1.

    Google Scholar 

  • Ginsburg, H., & Opper, S. (1987). Piaget’s theory of intellectual development (3rd edition), Chapter 3.

  • Gobell, J. L., Tseng, C. H., & Sperling, G. (2004). The spatial distribution of visual attention. Vision Research, 44, 1273–1296.

    Article  Google Scholar 

  • Goldberg, J. H., & Kotval, X. P. (1998). Eye movement-based evaluation of the computer interface. In S. K. Kumar (Ed.), Advances in occupational ergonomics and safety (pp. 529–532). Amsterdam: ISO Press.

    Google Scholar 

  • Gröger, G., Kolbe, T. H., Czerwinski, A., & Nagel, C. (2008). OpenGIS city geography markup language (CityGML) Encoding Standard, Tech. Report No. OGC-08-007r1, v1.0.0, Open Geospatial Consortium Inc.

  • Gross, H., Thoennessen, U., & Hansen, W. V. (2005). 3D-modeling of urban structures, International Archives of Photogrammetry and Remote Sensing, 36, Part 3W24, 137–142.

  • Hain, T. C., Herdman, S. J., Holliday, M. S., Mattox, D., Zee, D. S., & Byskosh, A. T. (1994). The localizing value of optokinetic afternystagmus. Annals ORL, 806–811.

  • Hain, T. C., & Patel, G. (1992). Slow-cumulative Eye Position to Quantify Optokinetic Afternystagmus. Annals Otology, 101, 255–260.

    Google Scholar 

  • Hain, T. C., & Zee, D. S. (1991). Abolition of optokinetic afternystagmus by aminoglycoside ototoxicity. Annals Otology, 100, 580–583.

    Google Scholar 

  • Hile, H., Vedantham, R., Cuellar, G., Liu, A., Gelfand, N., Grzeszczuk, R., & Borriello, G. (2008). Landmark-based pedestrian navigation from collections of geotagged photos. In Proc. 7th International Conference on Mobile and Ubiquitous Multimedia, ACM, 145–152. doi:10.1145/1543137.1543167.

  • Hu, L. C., & Lay, J. Y. (2006). Spatial Analysis of Female Cancers in Taiwan. Journal of Taiwan Geographical Information Science, 4, 39–55.

    Google Scholar 

  • Imani, F., & Tabaeian, M. (2012). Recreating mental image with the aid of cognitive maps and its role in environmental perception. Procedia—Social and Behavioral Sciences, 32, 53–62.

    Article  Google Scholar 

  • Just, M. A., & Carpenter, P. A. (1976). The role of eye-fixation research in cognitive psychology. Behavior Research Methods, Instrument and Computer, 8, 139–143.

    Article  Google Scholar 

  • Kettunen, P., Irvankoski, K., Krause, C. M., Sarjakoski, T., & Sarjakoski, L. T. (2012). Geospatial images in the acquisition of spatial knowledge for wayfinding. Journal of Spatial Information Science, 5, 75–106. doi:10.5311/JOSIS.2012.5.85.

    Google Scholar 

  • Kuipers, B., Tecuci, D. G., & Stankiewicz, B. J. (2003). The skeleton in the cognitive map: A computational and empirical exploration. Environment and behavior, 35, 1.

    Article  Google Scholar 

  • Lay, J. G., Huang, C. C., & Yap, Ko-hua. (2005). Exploring the Spatial Cognition in Early Maps. A Case Study of “The Territorial Map of Taiwan” 1878. Journal of Geographical Science, 42, 47–68.

    Google Scholar 

  • Lee, S. H., Lei, T. C., & Wu, S. C. (2009). Applying eye tracking technology to examine landscape preference in Prospect-Refuge theory. 15th International Symposium on Society and Resource Management People and Place: Linking Culture and Nature.

  • Lee, S. H., Lei, T. C., Wu, S. C., & Li, C. Y. (2010) To Extract waterscape preference region with SVM theory via eye tracking technology. 16th International Symposium on Society and Resource Management.

  • Li, P. Y., Hibino, H., Koyama, S., & Zheng, M. C. (2012). Tailoring Map Design Based on Map-Reading and Way-Finding Behaviour in Subway Stations. Procedia—Social and Behavioral Sciences, 42, 466–476.

    Article  Google Scholar 

  • Locher, P. J., & Nodine, C. F. (1987). Symmetry catches the eyes. In J. K. O’Regan & A. Levy-Schoen (Eds.), Eye movements: From physiology to cognition. North-Holland: Elsevier Science Publishers.

    Google Scholar 

  • Martin, B., André, M., Thomas, M., & Erhardt, B. (2006). Remote eye tracking: State of the art and directions for future development. The 2nd Conference on Communication by Gaze InteractionCOGAIN 2006: Gazing into the Future.

  • McAndrew, F. T. (1993). Environmental Psychology. Calif: Pacific Grove.

    Google Scholar 

  • Meijer, F., Geudeke, B. L., & Van Den Broek, E. L. (2009). Navigating through virtual environments: Visual realism improves spatial cognition. CyberPsychology & Behavior, 12(5), 517–521. doi:10.1089/cpb.2009.0053.

    Article  Google Scholar 

  • Miller, G. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. The Psychological Review, 63, 81–97.

    Article  Google Scholar 

  • Montello, D. R., Lovelace, K. L., Golledge, R. G., & Self, C. M. (1999). Sex-related differences and similarities in geographic and environmental spatial abilities. Annals of Association of American Geographers, 89, 515–534.

    Article  Google Scholar 

  • Müller, P. U., Cavegn, D., d’Ydewalle, G., & Groner, R. (1993). A comparison of a new limbus tracker, corneal reflection technique, purkinje eye tracking and electro-oculography. In G. d’Ydewalle & J. V. Rensbergen (Eds.), Perception and Cognition (pp. 393–401). B.V.: Elsevier Science Publishers.

    Google Scholar 

  • OGC. (2012). OGC City Geography Markup Language (CityGML) Encoding Standard, from: https://portal.opengeospatial.org/files/?artifact_id=47842.

  • Oulasvirta, A., Estlander, S., & Nurminen, A. (2009). Embodied interaction with a 3D versus 2D mobile map. Personal Ubiquitous Computing, 13(4), 303–320. doi:10.1007/s00779-008-0209-0.

    Article  Google Scholar 

  • Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372–422.

    Article  Google Scholar 

  • Rayner, K., Smith, T. J., Malcolm, G. L., & Henderson, J. M. (2009). Eye movements and visual encoding during scene perception. Psychological Science, 20, 6–10.

    Article  Google Scholar 

  • Rodrigo, Q. Q., & Carlos, P. (2011). How do we see art: An eye-tracker study. Frontiers Human Neuroscience, 5, 98.

    Google Scholar 

  • Sanders, M. S., & McCormick, E. J. (1987). Human factors in engineering and design. New York: McGraw-Hill.

    Google Scholar 

  • Schuchardt, P., & Bowman, D. A. (2007). The benefits of immersion for spatial understanding of complex underground cave systems. In Proc. 2007 ACM symposium on virtual reality software and technology (New York, NY, 2007), 121–124. doi:10.1145/1315184.1315205.

  • Sereno, S. C., & Rayner, K. (2003). Measuring word recognition in reading: Eye movements and event-related potentials. Trends in Cognitive Sciences, 7, 489–493.

    Article  Google Scholar 

  • Sperling, G., & Melchner, M. J. (1978). The attention operating characteristic: Examples from visual search. Science, 202(4365), 315–318.

    Article  Google Scholar 

  • Tang, D. L., Lee, T. R., & Tsai, C. M. (2005). An Exploratory Study on Relationship between Preference and Scanpath-Evidence from Color Preference Sorting Task. Chinese Journal of Psychology, 47(4), 339–351.

    Google Scholar 

  • Wood, M., Pearson, D. G., Calder, C., & Miller, D. (2007). Comparing the effects of different 3D representations on human wayfinding. Location based services and telecartography, Lecture Notes in Geoinformation and Cartography, 4, 345–356.

    Article  Google Scholar 

  • Wu, S. C., Lee, S. H., & Tang, D. L. (2008). The Attractive power of portrait on browsing behavior, 14th international symposium on society and resource management people and place: Linking culture and nature.

  • Yarbus, A. L. (1967). Eye Movements and Vision. New York: Plenum Press.

    Book  Google Scholar 

  • Zeki, S. (1999). Inner vision: An exploration of art and the brain. Oxford: Oxford University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shih-Chieh Wu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei, TC., Wu, SC., Chao, CW. et al. Evaluating differences in spatial visual attention in wayfinding strategy when using 2D and 3D electronic maps. GeoJournal 81, 153–167 (2016). https://doi.org/10.1007/s10708-014-9605-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10708-014-9605-3

Keywords

Navigation