Who Where When and with Whom Evaluation of Grou

Authors: Simone Kriglstein Johanna Haider Günter Wallner Margit Pohl

Publish Date: 2016/8/7

Volume: , Issue: , Pages: 235-249

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Abstract

Visualizing timedependent and locationbased data is a challenging problem but highly relevant for areas like intelligence analysis traffic control or social network analysis In this context we address the problem of visualizing meetings between persons groups of persons vehicles or other entities However the temporal dimension inherent in such data makes traditional map representations less well suited for this kind of problem as they easily become cluttered To overcome this issue we developed a modified map representation and three alternative representations two matrixbased visualizations and one based on Gantt charts An empirical evaluation comparing these four visualizations and assessing correctness recognition rates of groups and subjective preference indicates that the alternative visualizations perform significantly better than the mapbased representation when meetings need to be identified In addition we identify specific strengths and weaknesses of the investigated visualizations and propose design considerationsThe research leading to these results in the VALCRI project has received funding from the European Union 7th Framework Programme FP7/20072013 under grant agreement no FP7IP 608142 to Middlesex University and Partners Simone Kriglstein was supported by CVAST funded by the Austrian Federal Ministry of Science Research and Economy in the exceptional Laura Bassi Centres of Excellence initiative project nr 822746

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