Volume XLI-B2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 637-640, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 637-640, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  08 Jun 2016

08 Jun 2016

EVALUATION OF THE USER STRATEGY ON 2D AND 3D CITY MAPS BASED ON NOVEL SCANPATH COMPARISON METHOD AND GRAPH VISUALIZATION

J. Dolezalova and S. Popelka J. Dolezalova and S. Popelka
  • Department of Geoinformatics, Faculty of Science, Palacký University Olomouc, 77146, Olomouc, Czech Republic

Keywords: Eye-tracking, User Perception, Search Strategy, Scanpath Comparison, Simple Graphs, Cliques

Abstract. The paper is dealing with scanpath comparison of eye-tracking data recorded during case study focused on the evaluation of 2D and 3D city maps. The experiment contained screenshots from three map portals. Two types of maps were used - standard map and 3D visualization. Respondents’ task was to find particular point symbol on the map as fast as possible.

Scanpath comparison is one group of the eye-tracking data analyses methods used for revealing the strategy of the respondents. In cartographic studies, the most commonly used application for scanpath comparison is eyePatterns that output is hierarchical clustering and a tree graph representing the relationships between analysed sequences. During an analysis of the algorithm generating a tree graph, it was found that the outputs do not correspond to the reality. We proceeded to the creation of a new tool called ScanGraph. This tool uses visualization of cliques in simple graphs and is freely available at www.eyetracking.upol.cz/scangraph.

Results of the study proved the functionality of the tool and its suitability for analyses of different strategies of map readers. Based on the results of the tool, similar scanpaths were selected, and groups of respondents with similar strategies were identified. With this knowledge, it is possible to analyse the relationship between belonging to the group with similar strategy and data gathered from the questionnaire (age, sex, cartographic knowledge, etc.) or type of stimuli (2D, 3D map).