Chandan Kumar
Benjamin Poppinga
Wilko Heuten
Susanne Boll
ABSTRACT
Nowadays local search services are essential to provide access to geographic entities and to satisfy users' spatial information needs. While the users of these services can look for the entities of interest on map interface via sequential search or browsing of individual categories, the visualization of multiple categories simultaneously is still not well supported. This limits the end users on abstracted view, exploration, and comparison of spatial areas with respect to multiple criteria of interests. In this research we investigate the end-user interaction for multi-criteria local search with two popular representations such as aggregated pixel and icon based visualizations. We present a grid-based interactive interface where users can select multiple criteria of interests and explore the relevant spatial regions via aggregated heatmap visualizations. We evaluate the design against icon/marker based visualization, which is an easy adaption of current commercial local search interfaces. We found that heatgrid visualization for local search performs as good as the more popular marker based interface. We report our findings on both visualizations regarding several user-centered aspects such as exploration ability, information overload and cognitive demand.
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Index Terms
- Assessing end-user interaction for multi-criteria local search with heatmap and icon-based visualizations
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