As maps are visual representations of spatial context to communicate geographic information, analysis of gaze behavior is promising to improve map design. In this research we investigate the impact of map task complexity and different legend types on the visual attention of a user. With an eye tracking experiment we could show that the complexity of two map tasks can be measured and compared based on AOI sequences analysis. This knowledge can help to improve map design for static maps or in the context of interactive systems, create better map interfaces, that adapt to the user's current task.
@InProceedings{gobel_et_al:LIPIcs.GISCIENCE.2018.30, author = {G\"{o}bel, Fabian and Kiefer, Peter and Giannopoulos, Ioannis and Raubal, Martin}, title = {{Gaze Sequences and Map Task Complexity}}, booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)}, pages = {30:1--30:6}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-083-5}, ISSN = {1868-8969}, year = {2018}, volume = {114}, editor = {Winter, Stephan and Griffin, Amy and Sester, Monika}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.30}, URN = {urn:nbn:de:0030-drops-93587}, doi = {10.4230/LIPIcs.GISCIENCE.2018.30}, annote = {Keywords: eye tracking, sequence analysis, map task complexity} }
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