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A review on eye movement analysis in map reading process: the status of the last decade

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Eye tracking constitutes a valuable tool for the examination of human visual behavior since it provides objective measurements related to the performed visual strategies during the observation of any type of visual stimuli. Over the last decade, eye movement analysis contributed substantially to the better understanding of how visual attention processes work in different types of maps. Considering the clear need for the examination of map user reaction during the observation of realistic cartographic products (i.e. static maps, animated maps, interactive and multimedia maps), a critical amount of experimental studiem were performed in order to study different aspects related to map reading process by the cartographic community. The foundation of these studies is based on theories and models that have been developed in similar research domains (i.e. psychology, neuroscience etc.), while the research outcomes that produced over these years can be used directly for the design of more effective and efficient maps. The aim of the present article is to summarize and present the current panorama of the existing eye tracking studies in cartographic research appeared over the last decade. Additionally, methodological contributions (including analysis tools) of cartographic society in the field of eye movement analysis are reported, while existing challenges and future perspectives are also discussed.
Rocznik
Strony
191--209
Opis fizyczny
Bibliogr. 84 poz., tab., wykr.
Twórcy
  • University of West Attica, Department of Surveying and Geoinformatics Engineering 28 Ag. Spyridonos St., 12243 Egaleo-Athens, Greece
  • Polytech Nantes, Laboratoire des Sciences du Numérique de Nantes (LS2N) 44306 Nantes CEDEX 3, France
  • Adam Mickiewicz University in Pozna´n Faculty of Geographic and Geological Sciences, Department of Cartography and Geomatics 10 Krygowskiego St., 61-680 Poznan, Poland
Bibliografia
  • [1] Alaçam, Ö. and Dalcı, M. (2009). A Usability Study of WebMaps with Eye Tracking Tool: The Effects of Iconic Representation of Information. In: Human-Computer Interaction. J.A. Jacko (ed.), Berlin, Heidelberg: Springer, vol. 5610, 12–12. DOI: 10.1007/978-3-642-02574-7_2.
  • [2] Bargiota, T., Mitropoulos, V., Krassanakis, V. and Nakos, B. (2013). Measuring locations of critical points along cartographic lines with eye movements. Proceedings of the 26th International Cartographic Association Conference, Dresden, Germany.
  • [3] Bérces, A. and Török, Z.G. (2013). A home-made, 10 bucks eye tracking system. Workshop of International Cartographic Conference (ICC, ICA) 2013: Eye Tracking: Why, When, and How? Dresden, Germany.
  • [4] Bertin, J. (1983). Semiology of Graphics: Diagrams, Networks, Maps. Madison, Wisconsin.
  • [5] Brügger, A., Fabrikant, S.I. and Çöltekin, A. (2016). An empirical evaluation of three elevation change symbolization methods along routes in bicycle maps. Cartography and Geographic Information Science, 44(5), 436–451. DOI: 10.1080/15230406.2016.1193766.
  • [6] Brychtová, A., (2015). Exploring the Influence of Colour Distance and legend position on choropleth maps readability. In: Modern Trends in Cartography. J. Brus, A. Vondrakova, V. Vozenilek (ed.), Springer, Cham, 303–314. DOI: 10.1007/978-3-319-07926-4_23.
  • [7] Brychtová, A. and Çöltekin, A. (2016). An Empirical User Study for Measuring the Influence of Colour Distance and Font Size in Map Reading Using Eye Tracking. The Cartographic Journal, 53(3), 202–212. DOI: 10.1179/1743277414Y.0000000103.
  • [8] Brychtová, A. and Çöltekin, A. (2017). The Effect of Spatial Distance on The Discriminability of Colors in Maps. Cartography and Geographic Information Science, 44(3), 229–245. DOI: 10.1080/15230406.2016.1140074.
  • [9] Brychtová, A., Paszto, V., Marek, L. and Panek, J. (2013). Web-Designing Evaluation of the Crisis Map of the Czech Republic Using Eye-Tracking. Proceedings of the 13th International Multidisciplinary Scientific Geoconference, Albena.
  • [10] Brychtová, A., Popelka, S. and Dobesova, Z. (2012a). Eye-tracking methods for investigation of cartographic principles. SGEM 2012 Conference Proceedings, Vol. 2, 1041–1048.
  • [11] Brychtová, A., Popelka, S. and Vozenilek, V. (2012b). The analysis of eye movement as a tool for evaluation of maps and graphical outputs from GIS. Proceedings of the 19th International Conference on Geography and Geoinformatics: Challenge for Practise and Education. Brno, Czech Republic, 154–162.
  • [12] Burch, M. (2017). Which Symbols, Features, and Regions Are Visually Attended in Metro Maps? In: Inteligent Decision Technologies 2017, KES-IDT 2017, PT II. Book series: Smart Innovation Systems and Technologies 73. I. Czarnowski, R.J. Howlett, and L.C. Jain (ed.), Springer, Cham, 237–246. DOI: 10.1007/978-3-319-59424-8_22.
  • [13] Burian, J., Popelka, S. and Beitlova, M. (2018). Evaluation of the Cartographical Quality of Urban Plans by Eye-Tracking. ISPRS Int. J. Geo-Inf, 7(5), 192. DOI: 10.3390/ijgi7050192.
  • [14] Ciołkosz-Styk, A. (2012). The visual search method in map perception research. Geoinformation Issues, 4(1), 33–42.
  • [15] Çöltekin, A., Brychtová, A., Griffin, A.L., Robinson, A.C., Imhof, M. and Pettit, C. (2016). Perceptual complexity of soil-landscape maps: A user evaluation of color organization in legend designs using eye tracking. International Journal of Digital Earth, 10(6), 560–581. DOI: 10.1080/17538947.2016.1234007.
  • [16] Çöltekin, A., Fabrikant, S.I. and Lacayo, M. (2010). Exploring the efficiency of users’ visual analytics strategies based on sequence analysis of eye movement recordings. International Journal of Geographical Information Science, 24(10), 1559–1575. DOI: 10.1080/13658816.2010.511718.
  • [17] Çöltekin, A., Heil, B., Garlandini, S. and Fabrikant, S.I. (2009). Evaluating the effectiveness of interactive map interface designs: a case study integrating usability metrics with eye-movement analysis. Cartography and Geographic Information Science, 36(1), 5–17. DOI: 10.1559/152304009787340197.
  • [18] Demšar, U. and Çöltekin, A. (2017). Quantifying gaze and mouse interactions on spatial visual interfaces with a new movement analytics methodology. PloS one, 12(8). DOI: 10.1371/journal.pone.0181818.
  • [19] DiBiase, D., MacEachren, A.M., Krygier, J.B. and Reeves, C. (1992). Animation and the role of map design in scientific visualization. Cartography and Geographic Information Systems, 19(4), 201–214. DOI: 10.1559/152304092783721295.
  • [20] Dolezalova, J. and Popelka, S. (2016a). Evaluation of the user strategy on 2D and 3D city maps based on novel scanpath comparison method and graph visualization. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 637. DOI: 10.5194/sprs-archives-XLI-B2-637-2016.
  • [21] Dolezalova, J. and Popelka, S. (2016b). The Use of Simple Graphs and Cliques for Analysis of Cartographic Eye-Tracking Data. Proceedings of ITAT 2016, CEUR Workshop, Vol. 1649, 206–211.
  • [22] Dong, W., Jiang, Y., Zheng, L., Liu, B. and Meng, L. (2018). Assessing Map-Reading Skills Rusing Eye Tracking and Bayesian Structural Equation Modelling. Sustainability, 10(9), 3050. DOI: 10.3390/su10093050.
  • [23] Dong, W. and Liao, H. (2016). Eye tracking to explore the impacts of photorealistic 3D representations In pedestrian navigation performance. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41. DOI: 10.5194/isprsarchives-XLI-B2-641-2016.
  • [24] Dong, W., Liao, H., Roth, R.E. and Wang, S. (2014a). Eye tracking to explore the potential of enhanced imagery basemaps in web mapping. The Cartographic Journal, 51(4), 313–329. DOI: 10.1179/1743277413Y.0000000071.
  • [25] Dong, W., Liao, H., Xu, F., Liu, Z. and Zhang, S. (2014b). Using eye tracking to evaluate the usability of animated maps. Science China Earth Sciences, 57(3), 512–522. DOI: 10.1007/s11430-013-4685-3.
  • [26] Dong, W., Zhang, S., Liao, H., Liu, Z., Li, Z. and Yang, X. (2016). Assessing the effectiveness and efficiency of map colour for colour impairments using an eye-tracking approach. The Cartographic Journal, 53(2), 166–176. DOI: 10.1179/1743277413Y.0000000053.
  • [27] Dong,W.,Wang, S., Chen, Y. and Meng, L. (2018). Using Eye Tracking to Evaluate the Usability of Flow Maps. ISPRS Int. J. Geo-Inf, 7(7), 281. DOI: 10.3390/ijgi7070281.
  • [28] Edler, D., Keil, J., Tuller, M.C., Bestgen, A.K. and Dickmann, F. (2018). Searching for the ‘Right’ Legend: The Impact of Legend Position on Legend Decoding in a Cartographic Memory Task. The Cartographic Journal, 1–12. DOI: 10.1080/00087041.2018.1533293.
  • [29] Franke, C. and Schweikart, J. (2017). Mental representation of landmarks on maps: Investigating cartographic visualization methods with eye tracking technology. Spatial Cognition and Computation, 17(1–2), 20–38. DOI: 10.1080/13875868.2016.1219912.
  • [30] Garlandini, S. and Fabrikant, S.I. (2009). Evaluating the effectiveness and efficiency of visual variables for geographic information visualization. Proceedings of the International Conference on Spatial Information Theory. Springer, Berlin, Heidelberg. 195-211.
  • [31] Göbel, F., Kiefer, P. and Raubal, M. (2017). FeaturEyeTrack: A Vector Tile-Based Eye Tracking Framework for Interactive Maps. Societal Geo-Innovation: Short Papers, Posters and Poster Abstracts of the 20th AGILE Conference on Geographic Information Science. Wageningen University and Research 9–12 May 2017, Wageningen, the Netherlands, 103.
  • [32] Gołebiowska, I., Opach, T. and Rød, J.K. (2017). For your eyes only? Evaluating a coordinated and multiple views tool with a map, a parallel coordinated plot and a table using an eyetracking approach. International Journal of Geographical Information Science, 31(2), 237–252. DOI: 10.1080/13658816.2016.1191636.
  • [33] Herman, L., Popelka, S. and Hejlova, V. (2017). Eye-tracking Analysis of Interactive 3D Geovisualization. J. Eye Mov. Res., 10(2). DOI: 10.16910/jemr.10.3.2.
  • [34] Incoul, A., Ooms, K. and De Maeyer, P. (2015). Comparing paper and digital topographic maps using eye tracking. In: Modern Trends in Cartography. J. Brus, A. Vondrakova, V. Vozenilek (ed.), Springer, Cham, 339–356. DOI: 10.1007/978-3-319-07926-4_26.
  • [35] Jenks G.F. (1973). Visual Integration in Thematic Mapping: Fact or Fiction? International Yearbook of Cartography, 13, 27–35.
  • [36] Karagiorgou, S., Krassanakis, V., Vescoukis, V.C. and Nakos, B.P. (2014). Experimenting With Polylines on the Visualization of Eye Tracking Data From Observations of Cartographic Lines. Proceedings of the 2nd Eye Tracking For Spatial Research (ET4S), GIScience, 22–26.
  • [37] Keil, J., Mocnik, F-B., Edler, D., Dickmann, F. and Kuchinke, L. (2018). Reduction of Map Information Regulates Visual Attention without Affecting Route Recognition Performance. ISPRS Int. J. Geo-Inf, 7(12), 469. DOI: 10.3390/ijgi7120469.
  • [38] Keskin, M. and Ooms, K. (2018). Possibilities of eye tracking and EEG integration for visual search on 2D maps. Proceedings of the 3rd International Workshop on Eye Tracking for Spatial Research, Switzerland, Zurich, 16–21.
  • [39] Keskin, M., Ooms, K., Dogru, A.O. and De Maeyer, P. (2018). Digital sketch maps and eye tracking statistics as instruments to obtain insights into spatial cognition. J. Eye Mov. Res., 11(3). DOI: 10.16910/jemr.11.3.4.
  • [40] Kiefer, P. and Giannopoulos, I. (2012). Gaze map matching: mapping eye tracking data to geographic vector features. Proceedings of the 20th International Conference on Advances in Geographic Information Systems. ACM, 359–368.
  • [41] Kiefer, P., Giannopoulos, I., Duchowski, A. and Raubal, M. (2016). Measuring cognitive load for map tasks through pupil diameter. Proceedings of the International Conference on Geographic Information Science. Springer, Cham, 323–337.
  • [42] Kiefer, P., Giannopoulos, I., Raubal, M. and Duchowski, A. (2017). Eye tracking for spatial research: Cognition, computation, challenges. Spatial Cognition and Computation, 17(1–2), 1–19. DOI: 10.1080/13875868.2016.1254634.
  • [43] Kiik, A., Nyström, M. and Harrie, L. (2017). Cartographic Design Matters–A Comparison of Thematic Polygon Design. The Cartographic Journal, 54(1), 24–35. DOI: 10.1080/00087041.2016.1147191.
  • [44] Krassanakis V. (2013a). Exploring the map reading process with eye movement analysis. Proceedings of the 1st International Workshop (in conjunction with COSIT 2013), Scarborough, United Kingdom, 2–7.
  • [45] Krassanakis, V. (2013b). Using EyeMMV Toolbox for eye movement analysis in cartographic experiments. Workshop of International Cartographic Conference (ICC, ICA) 2013: Eye Tracking: Why, When, and How? Dresden, Germany.
  • [46] Krassanakis, V. (2014). Development of a methodology of eye movement analysis for the study of Visual perception in animated maps (In Greek), PhD Thesis, National Technical University of Athens, Athens, 246.
  • [47] Krassanakis, V., Lelli, A., Lokka, I.E., Filippakopoulou, V. and Nakos, B. (2013a). Investigating dynamic variables with eye movement analysis. Proceedings of the 26th International Cartographic Conference, Dresden, Germany.
  • [48] Krassanakis, V., Lelli, A., Lokka, I.E., Filippakopoulou, V. and Nakos, B. (2013b). Searching for salient locations in topographic maps. Proceedings of the First International Workshop on Solutions for Automatic Gaze Data Analysis, Bielefeld, Germany, 41–44.
  • [49] Krassanakis V., Filippakopoulou V. and Nakos B. (2011a). The influence of attributes of shape in map reading process. Proceedings of the 25th International Cartographic Conference, Paris, France.
  • [50] Krassanakis V., Filippakopoulou V. and Nakos B. (2011b). An Application of Eye Tracking Methodology in Cartographic Research. Proceedings of the EyeTrackBehavior 2011 (Tobii), Frankfurt, Germany.
  • [51] Krassanakis, V., Filippakopoulou, V. and Nakos, B. (2014). EyeMMV toolbox: An eye movement postanalysis tool based on a two-step spatial dispersion threshold for fixation identification. J. Eye Mov. Res., 7(1). DOI: 10.16910/jemr.7.1.1.
  • [52] Krassanakis, V., Filippakopoulou, V. and Nakos, B. (2016). Detection of moving point symbols on cartographic backgrounds. J. Eye Mov. Res., 9(2). DOI: 10.16910/jemr.9.2.2.
  • [53] Krassanakis V., Misthos M.L. and Menegaki M. (2018). LandRate toolbox: an adaptable tool for eye movement analysis and landscape rating. Proceedings of the 3rd International Workshop on Eye Tracking for Spatial Research, Switzerland, Zurich, 40–45.
  • [54] Krejtz, K., Coltekin, A., Duchowski, A.T. and Niedzielska, A. (2017). Using Coefficient K to Distinguish Ambient/Focal Visual Attention During Cartographic Tasks. J. Eye Mov. Res., 10 (2), 3. DOI: 10.16910/jemr.10.2.3.
  • [55] Krygier, J.B. (1994). Sound and geographic visualization. In: Modern cartography series. A.M. MacEachren, D.R.F. Taylor (ed.), Vol. 2,. Academic Press, 149–166. DOI: 10.1016/B978-0-08-042415-6.50015-6.
  • [56] Lei, T. C., Wu, S.C., Chao, C.W. and Lee, S.H. (2016). Evaluating differences in spatial visual attention in wayfinding strategy when using 2D and 3D electronic maps. GeoJournal, 81(2), 153–167. DOI: 10.1007/s10708-014-9605-3.
  • [57] Liao, H., Dong, W., Peng, C. and Liu, H. (2017). Exploring differences of visual attention in pedestrian navigation when using 2D maps and 3D geo-browsers. Cartography and Geographic Information Science, 44(6), 474–490. DOI: 10.1080/15230406.2016.1174886.
  • [58] Liao, H., Wang, X., Dong, W. and Meng, L. (2018). Measuring the influence of map label density on perceived complexity: a user study using eye tracking. Cartography and Geographic Information Science, 1–18.
  • [59] 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(9), 274. DOI: 10.3390/ijgi6090274.
  • [60] MacEachren, A.M. (1995). How Maps Work: Representation, Visualization and Design. Guilford Press. Manson, S.M., Kne, L., Dyke, K.R., Shannon, J. and Eria, S. (2012). Using eye-tracking and mouse metrics to test usability of web mapping navigation. Cartography and Geographic Information Science, 39(1), 48–60. DOI: 10.1559/1523040639148.
  • [61] Netzel, R., Hlawatsch, M., Burch, M., Balakrishnan, S., Schmauder, H. and Weiskopf, D. (2017). An Evaluation of Visual Search Support in Maps. IEEE Transactions on Visualization and Komputer Graphics, 23 (1), 421–430. DOI: 10.1109/TVCG.2016.2598898.
  • [62] Ooms, K. (2012). Maps, how do users see them?: an in depth investigation of the map users’ cognitive processes, PhD Thesis, Ghent University, Gent.
  • [63] Ooms, K., De Maeyer, P., Fack, V., Van Assche, E. and Witlox, F. (2012a). Interpreting maps through the eyes of expert and novice users. International Journal of Geographical Information Science, 26(10), 1773–1788. DOI: 10.1080/13658816.2011.642801.
  • [64] Ooms, K., Maeyer, P.D., Fack, V., Assche, E.V. and Witlox, F. (2012b). Investigating the effectiveness of an efficient label placement method using eye movement data. The Cartographic Journal, 49(3), 234–246. DOI: 10.1179/1743277412Y.0000000010.
  • [65] Ooms, K., De Maeyer, P. and Fack, V. (2014). Study of the attentive behavior of novice and expert map users using eye tracking. Cartography and Geographic Information Science, 41(1), 37–54. DOI: 10.1080/15230406.2013.860255.
  • [66] Ooms, K., Dupont, L., Lapon, L. and Popelka, S. (2015). Accuracy and precision of fixation locations recorded with the low-cost Eye Tribe tracker in different experimental setups. J. Eye Mov. Res., 8(1). DOI: 10.16910/jemr.8.1.5.
  • [67] Ooms, K. and Krassanakis, V. (2018). Measuring the Spatial Noise of a Low-Cost Eye Tracker to Enhance Fixation Detection. Journal of Imaging, 4(8), 96. DOI: 10.3390/jimaging4080096.
  • [68] Opach, T., Gołebiowska, I. and Fabrikant, S.I. (2014). How Do People View Multi-Component Animated Maps? The Cartographic Journal, 51 (4), 330–342. DOI: 10.1179/1743277413Y.0000000049.
  • [69] Opach, T. and Nossum, A. (2011). Evaluating the usability of cartographic animations with eye-movement analysis. Proceedings of the 25th International Cartographic Conference, Paris, France.
  • [70] Popelka, S. (2014). Optimal eye fixation detection settings for cartographic purposes. Proceedings of the 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, SGEM2014, 2014, Vol. 1, 705–712.
  • [71] Popelka, S. and Brychtová, A. (2013). Eye-tracking study on different perception of 2D and 3D terrain visualisation. The Cartographic Journal, 50(3), 240–246. DOI: 10.1179/1743277413y.0000000058.
  • [72] Popelka, S., Brychtová, A., Svobodova, J., Brus, J. and Dolezal, J. (2013). Advanced Visibility Analyses and Visibility Evaluation Using Eye-Tracking. Proceedings of the 21st International Conference on Geoinformatics, Kai Feng, China, June 20–22.
  • [73] Popelka, S. and Doležalová, J. (2015). Non-photorealistic 3D visualization in city maps: an eye-tracking study. In: Modern Trends in Cartography, J. Brus, A. Vondrakova, V. Vozenilek (ed.), Springer, Cham, 357–367. DOI: 10.1007/978-3-319-07926-4_27.
  • [74] Popelka, S. and Doležalová, J. (2016). Differences between 2D maps and virtual globe containing point symbols an eye-tracking study. Proceedings of the 16th International Multidisciplinary Scientific Geoconference (SGEM 2016), June 30–July 06, Albena, Bulgaria.
  • [75] Popelka, S., Stachoˇn, Z., Šašinka, ˇ C. and Doležalová, J. (2016). Eyetribe tracker data accuracy evaluation and its interconnection with hypothesis software for cartographic purposes. Computational intelligence and neuroscience, ID 9172506. DOI: 10.1155/2016/9172506.
  • [76] Šašinka, C., Morong, K. and Stachoˇn, Z. (2017). The Hypothesis Platform: An Online Tool for Experimental Research into Work with Maps and Behavior in Electronic Environments. ISPRS Int. J. Geo-Inf, 6 (12), 407. DOI: 10.3390/ijgi6120407.
  • [77] Steinke, T.R. (1987). Eye movement studies in cartography and related fields. Cartographica: The International Journal for Geographic Information and Geovisualization, 24(2), 40–73. DOI: 10.3138/J166-635U-7R56-X2L1.
  • [78] Stofer, K. and Che, X. (2014). Comparing experts and novices on scaffolded data visualizations using eye-tracking. J. Eye Mov. Res., 7(5). DOI: 10.16910/jemr.7.5.2.
  • [79] Tateosian, L.G., Glatz, M., Shukunobe, M. and Chopra, P. (2017). GazeGIS: A Gaze-Based Reading and Dynamic Geographic Information System. In: Eye Tracking and Visualization: Foundations, Techniques, and Applications. M. Burch, L. Chuang, B. Fisher, A. Schmidt, D. Weiskopf (ed.), ETVIS 2015, 129–147. DOI: 10.1007/978-3-319-47024-5_8.
  • [80] Ullah, R., Mengistu, E.Z., van Elzakker, C.P.J.M. and Kraak, M.J. (2016). Usability evaluation of centered time cartograms. Open Geosciences, 8 (1), 337–359. DOI: 10.1515/geo-2016-0035.
  • [81] Vondrakova, A. and Popelka, S. (2014). The use of eye-tracking for the evaluation of various cartographic tasks. Proceedings of the 14th International Multidisciplinary Scientific Geoconference, Albena, Bulgaria, June 17–26, 981–988.
  • [82] Wang, S., Chen, Y., Yuan, Y., Ye, H. and Zheng, S. (2016). Visualizing the intellectual structure of eye movement research in cartography. ISPRS Int. J. Geo-Inf, 5(10), 168. DOI: 10.3390/ijgi5100168.
  • [83] Williams, L. G. (1971). The Role Of The User In The Map Communication Process: Obtaining Information From Displays With Discrete Elements. Cartographica: The International Journal for Geographic Information and Geovisualization, 8(2), 29–34.
  • [84] Zittoun T., and Brinkmann S. (2012). Learning as Meaning Making. In: Seel N.M. (eds.) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. DOI: 10.1007/978-1-4419-1428-6_1851.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c74a0755-6bd3-451a-b105-67603080e310
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