Evaluating video visualizations of human behavior

Authors:
Mario Romero;Alice Vialard;John Peponis;John Stasko;Gregory Abowd
Affiliations:
Georgia Institute of Technology, Atlanta, Georgia, USA;Georgia Institute of Technology, Atlanta, Georgia, USA;Georgia Institute of Technology, Atlanta, Georgia, USA;Georgia Institute of Technology, Atlanta, Georgia, USA;Georgia Institute of Technology, Atlanta, Georgia, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2011

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Abstract

Previously, we presented Viz-A-Vis, a VIsualiZation of Activity through computer VISion [17]. Viz-A-Vis visualizes behavior as aggregate motion over observation space. In this paper, we present two complementary user studies of Viz-A-Vis measuring its performance and discovery affordances. First, we present a controlled user study aimed at comparatively measuring behavioral analysis preference and performance for observation and search tasks. Second, we describe a study with architects measuring discovery affordances and potential impacts on their work practices. We conclude: 1) Viz-A-Vis significantly reduced search time; and 2) it increased the number and quality of insightful discoveries.