Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Techniques for presenting objects spatially via density maps have been thoroughly studied, but there is lack of research on how to display this information in the presence of several classes, i.e., multiclass density maps. Moreover, there is even less research on how to design an interactive visualization for comparison tasks on multiclass density maps. One application domain which requires this type of visualization for comparison tasks is crime analytics, and the lack of research in this area results in ineffective visual designs. To fill this gap, we study four types of techniques to compare multiclass density maps, using car theft data. The interactive techniques studied are swipe, translucent overlay, magic lens, and juxtaposition. The results of a user study (N=32) indicate that juxtaposition yields the worst performance to compare distributions, whereas swipe and magic lens perform the best in terms of time needed to complete the experiment. Our research provides empirical evidence on how to design interactive idioms for multiclass density spatial data, and it opens a line of research for other domains and visual tasks.
Description
@inproceedings{10.2312:evs.20211059,
booktitle = {EuroVis 2021 - Short Papers},
editor = {Agus, Marco and Garth, Christoph and Kerren, Andreas},
title = {{Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics}},
author = {Svicarovic, Lukas and Parra, Denis and Lobo, María Jesús},
year = {2021},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-143-4},
DOI = {10.2312/evs.20211059}
}