- Conference Paper
Complex information visualizations, such as thematic maps, encode information using a particular symbology that often requires the use of a legend to explain its meaning. Traditional legends are placed at the edge of a visualization, which can be difficult to maintain visually while switching attention between content and legend.Moreover, an extensive search may be required to extract relevant information from the legend. In this paper we propose to consider the user's visual attention to improve interaction with a map legend by adapting both the legend's placement and content to the user's gaze.In a user study, we compared two novel adaptive legend behaviors to a traditional (non-adaptive) legend. We found that, with both of our approaches, participants spent significantly less task time looking at the legend than with the baseline approach. Furthermore, participants stated that they preferred the gaze-based approach of adapting the legend content (but not its placement). Show more
Book titleProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, ETRA '18
Pages / Article No.
Organisational unit02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation
03901 - Raubal, Martin / Raubal, Martin
162886 - Intention-Aware Gaze-Based Assistance on Maps (SNF)
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