Information Interfaces Research Group

	John Stasko
	Alex Bendeck
	Yu Fu

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


	LLMs for Visualization Research Leveraging large language models to build more powerful visualization systems and help analysts learn more from their data.
	Vis for Effective and Truthful Data-driven Journalism Helping understand and utilize visualization to enhance the effectiveness and truthfulness of data-driven communication (journalism).
	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.
	Jigsaw 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.
	CiteVis 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.
	Rosemary Building novel interactive visualizations without programming.
	Information Visualization and Visual Analytics Helping people explore, analyze, and understand data through interactive visualization techniques and systems.
	SetVis Exploring boolean set data through visualization and direct manipulation.
	Behavis 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.
	dotlink360 Analyzing and exploring converging business ecosystems through visual analytics.
	Dust & Magnet Assisting people understand multivariate data sets using a magnet metaphor-based visualization.
	Ploceus Supporting flexible network modeling for visual analysis of spreadsheets and databases.
	Imprint Empowering workers to use visualizations of printer data as a basis for conversation and reflection.
	SellTrend 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.
	InfoCanvas Developing Information Art: Virtual paintings that peripherally convey information to people.
	FundExplorer Aiding equity investors with mutual fund portfolio diversification through the use of Context Treemaps.
	SunBurst 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 have two workshop papers, one TVCG paper, and one full paper (evaluating the visual literacy of GPT) coming up at the VIS 24 Conference this October.

Big congrats to Hayeong for completing her PhD! She will be a Research Scientist at Western Digital.

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

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

CS 6730 - DataVis Class
CS 7450 - InfoVis Class

- GT Visualization Lab
-- School of Interactive Computing
--- College of Computing
---- 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.