Georgia Tech Visual Analytics Lab

The goal of our research is to develop interactive visual analytic applications that help people make sense of data. We approach this challenge through combining scientific techniques from information visualization, machine learning, data mining, and human-computer interaction to produce usable, yet powerful visual analytic applications.

Recent Papers

Beyond Usability and Performance: A Review of User Experience-focused Evaluation Goals in Visualization

Abstract Traditionally, studies of data visualization techniques and systems have evaluated visualizations with respect to usability goals such as effectiveness and efficiency. These studies assess performancerelated metrics such as time and [...]

August 1st, 2016|

Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration

https://youtu.be/JFdStB0nYRs Abstract Although data visualization tools continue to improve, during the data exploration process many of them require users to manually specify visualization techniques, mappings, and parameters. In response, we present the Visualization [...]

August 1st, 2016|

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

Short explanation of the figure above. Abstract Scatterplots are effective visualization techniques for multidimensional data that use two (or three) axes to visualize data items as a point at its corresponding [...]

May 1st, 2016|

Recent News

New VA.lab Website

Welcome to the new Visual Analytics lab website!

By | May 9th, 2016|

Endert gave the visual analytics overview talk at VASS 2016

Alex was invited to speak at VASS 2016. His talk gave an overview of visual analytics to an audience of students and practitioners attending this iteration of the summer school at Middlesex University.

By | March 29th, 2016|

New Papers at IEEE VIS 2015

Check out the 3 new papers published at IEEE VIS 2015 in Chicago.

By | October 25th, 2015|