Record link: 
http://hdl.handle.net/20.500.12708/43906
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Title: 
Gaze Sequences and Map Task Complexity (Short Paper)
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Citation: 
Göbel, F., Kiefer, P., Giannopoulos, I., & Raubal, M. (2018). Gaze Sequences and Map Task Complexity (Short Paper). In S. Winter, A. Griffin, & M. Sester (Eds.), 10th International Conference on Geographic Information Science (GIScience 2018) (pp. 30:1-30:6). LIPICS. https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.30
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Publisher DOI: 
10.4230/LIPIcs.GISCIENCE.2018.30
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Göbel, Fabian 
Kiefer, Peter 
Giannopoulos, Ioannis 
Raubal, Martin 
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Organisational Unit: 
E120-02 - Forschungsbereich Geoinformation 
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Published in: 
10th International Conference on Geographic Information Science (GIScience 2018) 
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ISBN: 
978-3-95977-083-5
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Volume: 
114
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Date (published): 
2018
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Event name: 
10th International Conference on Geographic Information Science (GIScience 2018) 
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Event date: 
28-Aug-2018 - 31-Aug-2018
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Event place: 
Melbourne, Australia
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Number of Pages: 
6
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Publisher: 
LIPICS, 114
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Publisher: 
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl
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Peer reviewed: 
Yes
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Keywords: 
eye tracking; sequence analysis; map task complexity
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Abstract: 
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.
de
 
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.
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
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Science Branch: 
Geodäsie, Vermessungswesen
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Appears in Collections:
Conference Paper

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