The Information Interfaces Group, an HCI research group in the School of Interactive Computing at Georgia Tech, develops computing technologies that help people take advantage of information to enrich their lives.
More about the lab approach

Natural Visualization
Creating natural visualization systems incorporating multiple interaction modalities including speech and touch.

Data Illustrator
Creating rich, expressive infographics and visualizations without needing to program.

Using visualization and visual analytics to help analysis and sensemaking on text document collections.

Sports Data Visualization
Visualizing sports data to help people understand, analyze, and predict sporting events.

Civic Geovisualization
Mapping and visualizing urban data from multiple stakeholders to promote civic discourse.

Exploring conference paper citation data visually.

Touch Interaction
Developing interaction techniques for visualization on touch-based tablet and mobile devices.

Social Media Visual Analytics
Helping people analyze and understand social media through interactive visualization and other techniques.

Graph-Level Operations
Identifying the building blocks of graph visualization.

Building novel interactive visualizations without programming.

Information Visualization and Visual Analytics
Helping people explore, analyze, and understand data through interactive visualization techniques and systems.

Exploring boolean set data through visualization and direct manipulation.

Using visual analytics to help psychologists explore social and communicative behaviors.
Visual Analytics for Intelligence Analysis
Informing the design of visual analytics systems for intelligence analysis.
Analyzing and exploring converging business ecosystems through visual analytics.
Dust & Magnet
Assisting people understand multivariate data sets using a magnet metaphor-based visualization.
Supporting flexible network modeling for visual analysis of spreadsheets and databases.
Empowering workers to use visualizations of printer data as a basis for conversation and reflection.
Enabling real-time awareness and exploratory analysis of temporal, categorical event transactions.
The Buzz
Supporting end-user mashup creation and content aggregation onto photo and text collages.

Developing Information Art: Virtual paintings that peripherally convey information to people.

Aiding equity investors with mutual fund portfolio diversification through the use of Context Treemaps.
Developing circular, space-filling visualizations for depicting information hierarchies and trees.
Software Visualization
Helping people understand software through visualization of programs, data structures, algorithms, and executions.




We presented an InfoVis, a TVCG, and two short papers at the IEEE VIS 2020 Conference.

We've made the new NL4DV toolkit for adding natural language queries to visualization tools available to all.

Welcome to new PhD student Yu Fu joining our lab this fall!

Big congratulations to Arjun Srinivasan for completing his PhD thesis this past summer and starting a new position at Tableau Research!

We published two papers in IEEE CG&A, one about evaluating natural language interfaces in vis and the other about reaching broader audiences with data vis.

CS 7450 - InfoVis Class

- GT Visualization Lab
-- School of Interactive Computing
--- College of Computing
---- GVU Center
----- Georgia Tech

Research supported in part by grants from the National Science Foundation (IIS-1717111), DARPA, Sandia National Lab, and donations from Adobe and Microsoft.