Visualization and Analysis of User-Authored Annotations using Graphs

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows analysts to interactively create, compare, and manipulate these annotations. We seek to explore the visual representation of annotations in collaborative data analysis scenarios using a variety of datasets, including time-series and documents. Each objective of this project will result in a publication submission to a top scientific venue, benefitting Autodesk Research, the intern, and the visualization community.

Faculty Supervisor:

Ravin Balakrishnan;Sheelagh Carpendale

Student:

Partner:

Autodesk

Discipline:

Computer science

Sector:

Technology; Sustainability & the Environment

University:

University of Calgary; University of Toronto

Program: