Lumos: Increasing Awareness of Human Biases during Visual Data Analysis

Info about the Project

Lumos is a visual data analysis tool that captures and shows the interaction history with data to increase awareness of such analytic behaviors. Using in-situ (at the place of interaction) and ex-situ (in an external view) visualization techniques, Lumos provides real-time feedback to users for them to reflect on their activities. For example, Lumos highlights datapoints that have been previously examined in the same visualization (in-situ) and also overlays them on the underlying data distribution (i.e., baseline distribution) in a separate visualization (ex-situ).
Faculty: 
Emily Wall, Alex Endert
Students: 
Arpit Narechania, Adam Coscia