197
Views
3
CrossRef citations to date
0
Altmetric
Refereed Papers

Exploring Eye Movement Patterns on Cartographic Animations Using Projections of a Space-Time-Cube

Pages 249-256 | Received 18 May 2012, Accepted 08 Oct 2012, Published online: 18 Feb 2014

REFERENCES

  • Anselin L, Syabri I and Smirnov O. (2002). ‘Visualizing multivariate spatial correlation with dynamically linked windows’, in New Tools for Spatial Data Analysis: Proceedings of the Specialist Meeting, ed. by Anselin L and Rey S pp5–22, CSISS, Santa-Barbara, CA.
  • Brodersen L, Andersen HHK and Weber S. (2002). Applying Eye-Movement Tracking for the Study of Map Perception and Map Design, Kort & Matrikelstyrelsen, København.
  • Buscher G, Dumais ST and Cutrell E. (2010). ‘The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search’, in 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 42–49, Boston, CA, Jul 19–23.
  • Buswell GT. (1935). How People Look at Pictures, University of Chicago Press, Chicago, IL.
  • Chandon P, Hutchinson JW, Bradlow ET and Young SH. (2009). ‘Does in-store marketing work? Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase’, Journal of Marketing, 73, pp. 1–17.
  • Chandon P, Hutchinson WJ and Young SH. (2001). Measuring the value of point-of-purchase marketing with commercial eye-tracking data. INSEAD Business School Research Paper No. 2007/22/MKT/ACGRD. http://ssrn.com/abstract = 1032162 or http://dx.doi.org/10·2139/ssrn.1032162
  • Dias E, Edwardes A and Purves R. (2007). ‘Analysing and Aggregating Visitor Tracks in a Protected Area’, in 5th International Symposium on Spatial Data Quality, pp. 15–16, Enschede, Jun 13–15.
  • Djamasbi S, Siegel M and Tullis T. (2010). ‘Generation Y, web design, and eye tracking’, International Journal of Human–Computer Studies, 68, pp. 307–323.
  • Duchowski A. (2007). Eye Tracking Methodology: Theory and Practice, Springer, London.
  • Ekpenyong F, Palmer-Brown D and Brimicombe A. (2009). ‘Extracting road information from recorded GPS data using snap-drift neural network’, Neurocomputing, 73, pp. 24–36.
  • Fabrikant S and Goldsberry K. (2005). ‘Thematic relevance and perceptual salience of dynamic geovisualization displays’, in 22nd ICA International Cartographic Conference: Mapping Approaches into a Changing World, A Coruna, Spain, Jul 9–16. http://icaci.org/files/documents/ICC_proceedings/ICC2005/htm/pdf/oral/TEMA15/Session%203/SARA%20IRINA%20FABRIKANT.pdf
  • Fabrikant S, Hespanha SR and Hegarty M. (2009). ‘Cognitively inspired and perceptually salient graphic displays for efficient spatial inference making’, Annals of the Association of American Geographers, 100, pp. 13–29.
  • Fabrikant SI, Rebich-Hespanha S, Andrienko N, Andrienko G, Montello DR and Irina Fabrikant S. (2008). ‘Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes’, The Cartographic Journal, 45, pp. 201–215.
  • Friendly M. (2002). ‘Visions and re-visions of Charles Joseph Minard’, Journal of Educational and Behavioral Statistics, 27, pp. 31–52.
  • Gahegan M, Takatsuka M, Wheeler M and Hardisty F. (2002). ‘GeoVISTA Studio: a geocomputational workbench’, Computers, Environment and Urban Systems, 26, pp. 267–292.
  • Gams E, Rehrl K and Kaschl D. (2009). ‘Using Other People’s Trails for Navigation Assistance’, in 5th Geographic Information Days, Münster, pp 25–41 Sep 10–12.
  • Garlandini S and Fabrikant S. (2009). ‘Evaluating the effectiveness and efficiency of visual variables for geographic information visualization’, in Spatial Information Theory: Proceedings of the 9th International Conference on Spatial information Theory, pp. 195–211, Springer-Verlag, Berlin/Heidelberg.
  • Gitelman DR. (2002). ‘ILAB: a program for post experimental eye movement analysis’, Behavior Research Methods, Instruments, & Computers, 34, p. 605.
  • Goldberg J. (1999). ‘Computer interface evaluation using eye movements: methods and constructs’, International Journal of Industrial Ergonomics, 24, pp. 631–645.
  • Goldberg J and Kotval X. (1998). ‘Eye movement-based evaluation of the computer interface’, in Advances in Occupational Ergonomics and Safety, ed. by Kumar S, pp. 529–532, IOS Press, Amsterdam.
  • Griffin AL, MacEachren AM, Hardisty F, Steiner E and Li B. (2006). ‘A Comparison of animated maps with static small-multiple maps for visually identifying space–time clusters’, Annals of the Association of American Geographers, 96, pp. 740–753.
  • Hardisty F. (2009). ‘GeoJabber: enabling geo-collaborative visual analysis’, Cartography and Geographic Information Science, 36, pp. 267–280.
  • Hegarty M, Canham MS and Fabrikant SI. (2010). ‘Thinking about the weather: how display salience and knowledge affect performance in a graphic inference task’, Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, pp. 37–53.
  • Hägerstrand T. (1970). ‘What about people in Regional Science?’, Papers of the Regional Science Association, 24, pp. 6–21.
  • Johansen SA, San Agustin J, Skovsgaard H, Hansen JP and Tall M. (2011). ‘Low cost vs. high-end eye tracking for usability testing’, in CHI ’11 Extended Abstracts on Human Factors in Computing Systems, pp. 1177–1182, ACM Press, New York.
  • Just MA and Carpenter PA. (1976). ‘Eye fixations and cognitive processes’, Cognitive Psychology, 8, pp. 441–480.
  • Keehner M, Hegarty M, Cohen C, Khooshabeh P and Montello D. (2008). ‘Spatial reasoning with external visualizations: what matters is what you see, not whether you interact’, Cognitive Science: A Multidisciplinary Journal, 32, pp. 1099–1132.
  • Kolers PA, Duchnicky RL and Ferguson DC. (1981). ‘Eye movement measurement of readability of CRT displays’, Human Factors: The Journal of the Human Factors and Ergonomics Society, 23, pp. 517–527.
  • Kwan MP and Lee J. (2004). ‘Geovisualization of human activity patterns using 3D GIS: a time-geographic approach’, in Spatially Integrated Social Science, ed. by Goodchild M F and Janelle D G, pp. 48–66, Oxford University Press, Oxford.
  • Li X, Çöltekin A and Kraak M.-J. (2010). ‘Visual exploration of eye movement data using the space-time-cube’, Geographic Information Science, 6292, pp. 295–309.
  • MacEachren AMAM and Kraak M.-JMJ. (2001). ‘Research challenges in geovisualization’, Cartography and Geographic Information Science, 28, pp. 3–12.
  • MacEachren AM and Kraak MJ. (1997). ‘Exploratory cartographic visualization: advancing the agenda’, Computers & Geosciences, 23, pp. 335–343.
  • Mackworth N. (1976). ‘Stimulus density limits the useful field of view’, in Eye Movements and Psychological Processes, ed. by Monty R A and Senders, pp. 307–321, Erlbaum, J. W. Hillsdale, NJ.
  • Nossum AS. (2010). ‘Semistatic Animations – Integrating Past, Present and Future in Map Animations’, in GIScience 2010, Zurich, Sep 14–17. http://docs.alexanno.net/files/Nossum_Semistatic_ShortPaper_crc.pdf
  • Nossum AS. (2012). ‘Semistatic animations – integrating past, present and future in animations’, The Cartographic Journal, 49, pp. 43–54.
  • Ooms K, Andrienko G, Andrienko N, de Maeyer P and Fack V. (2012). ‘Analysing the spatial dimension of eye movement data using a visual analytic approach’, Expert Systems with Applications, 39, pp. 1324–1332.
  • Opach T and Nossum AS. (2011). ‘Evaluating the Usability of Cartographic Animations with Eye-Movement Analysis’, in 25th International Cartographic Conference, Paris, Jul 3–8. http://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral%20Presentations%20PDF/A3-Visualisation%20efficiency/CO-005.pdf
  • Ponsoda V, Scott D and Findlay JM. (1995). ‘A probability vector and transition matrix analysis of eye movements during visual search’, Acta Psychologica, 88, pp. 167–185.
  • Poole A and Ball LJ. (2005). ‘Eye tracking in human–computer interaction and usability research: current status and future prospects’, in Encyclopedia of Human Computer Interaction, ed. by Ghaoui C, pp. 211–219, Information Science Reference, Hershey, PA.
  • Sankoff D and Kruskal JB. (1983). Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison, Vol. 1, Addison-Wesley Publication, London.
  • Scinto LFM and Barnette BD. (1986). ‘An algorithm for determining clusters, pairs or singletons in eye-movement scan-path records’, Behavior Research Methods, 18, pp. 41–44.
  • Wright DJ, O’Dea E, Cushing JB, Cuny JE and Toomey DR. (2003). ‘Why Web GIS may not be enough: a case study with the virtual research vessel’, Marine Geodesy, 26, pp. 73–86.
  • Zhao J and Fu H. (2001). ‘Application of GIS in the study of the migration of the population gravity center’, Engineering of Surveying and Mapping, 10, pp. 48–51.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.