University of Houston

User studies have been growing larger in terms of size and duration. This is an exciting development because user studies are realistically performed beyond the lab environments. Yet, these studies are challenging because researchers have to organize and analyze large amounts of data. Proper statistical analysis is critical and has received a lot of attention. One aspect that has been neglected is a visual interface to the study's results. Such an interface can support qualitative understanding, conveying at a glance the studies of sympathetic responses. A case in point is the student exam study that we discuss in this research. One challenge that such study faces is effective visualization of the study data (e.g., physiological data) that otherwise requires technical expertise to comprehend. Another challenge is the multidimensionality of the study data. Static snapshots (e.g., performance data) and dynamic evolution (e.g., physiological data) have to be visualized at a glance. Moreover, the visualization scheme should take into account spatiotemporal aspect of the study by presenting study results from multiple subjects over a period. In this research we propose an effective visualization method to comprehend the study results at glance. It represents voluminous data in a way that the users with little domain specific knowledge can be able to derive meaningful conclusions.