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 and Data Animator
Creating rich, expressive infographics, visualizations, and animations 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.

ICE-T Value-Driven Visualization Evaluation
Evaluating visualizations through heuristic, value-focused metrics.
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.




John received the 2023 Lifetime Achievement Award from the IEEE Computer Society Visualization and Graphics Technical Community (VGTC). Award description and recipients.

Yu is presenting our paper about Visually comparing NBA shot data at the VIS 23 Conference in Melbourne, Austraila.

We had a paper accepted on the role of visualization in contemporary journalism in the IEEE TVCG journal. (pdf)

John was named an ACM Fellow for the class of 2022.

CS 6730 - DataVis Class
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.