FURI | Spring 2021
Modeling the Complexity of Sankey Diagrams
In this project, the team is developing a model to quantify the complexity of Sankey diagrams, which are a type of visualization technique that shows flow between groups. To do this, the team created a carefully controlled dataset of synthetic Sankey diagrams of varying sizes as study stimuli. Then, a pair of online crowdsourced user studies will be conducted and analyzed. User performance for Sankey diagrams of varying size and features (number of groups, number of timesteps, and number of flow crossings) will be algorithmically modeled as a formula to quantify the complexity of these diagrams.
Hometown: Cupertino, California, United States
Graduation date: Spring 2021