Project

Data Visualization and Visual Analytics

Human-Computer Interaction and Visualization

Overview

Visual data representations leverage the power of human perception to process complex information, and through interaction, garner new insights. Our research focuses on visualizing data from a wide variety of domains and fundamentally tackles the question, what makes a visualization effective? We explore novel visual encodings and interaction techniques, multiscale approaches, and even simulation to bridge human and automated analysis of multivariate, time-series, and graph data, ultimately aiding in hypothesis generation, testing, and sense making.

Related Resources

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Publication

2016

Egocentric Analysis of Dynamic Networks with EgoLines

The egocentric analysis of dynamic networks focuses ondiscovering the…

Publication

2016

PhenoBlocks: Phenotype Comparison Visualizations

The differential diagnosis of hereditary disorders is a challenging…

Publication

2015

Benefits of Visualization in the Mammography Problem

Trying to make a decision between two outcomes, when there is some…

Publication

2015

Dynamic Opacity Optimization for Scatter Plots

Scatterplots are an effective and commonly used technique to show the…

Publication

2014

Mimic: Visual Analysis of Online Micro-interactions

We present Mimic, an input capture and visual analytics system that…

Publication

2013

Patina: Smart Heatmaps for Visualizing Application Usage

We present Patina, an application independent system for collecting…

Publication

2012

Citeology: Visualizing Paper Genealogy

Citeology is an interactive visualization that looks at the…

Publication

2011

AppMap: Exploring User Interface Visualizations

In traditional graphical user interfaces, the majority of UI elements…

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