VISUAL DATA ANALYSIS GROUP

at Washington University in St. Louis
VISUAL DATA ANALYSIS GROUP

IMPROVING DECISION-MAKING WITH DATA

RESEARCH

We aim to develop intelligent visualization systems that can learn about the task and the user herself to better support the decision-making process. Below we summarize our resaerch interests. If you are a current WashU student, you can find a list of our open projects here.

John

Machine Learning

We leverage machine learning and AI algorithms to learn from users' interaction. We develop intelligent visual analytics systems that predict intentions and proactively provide support during analytical tasks.

Jane

Medical Decision-Making

We develop visualization tools for comminicating complex health statistics to patients. We also use this problem space to explore the benefits and tradeoffs of combining text and visualization.

Mike

Individual Differennces

We identify personality traits that impact strategy during data exploration. We also apply machine learning to predict individual characteristics (e.g. personality traits and cognitive abilities) from interaction logs.

PEOPLE


Faculty

Ottley

Dr. Alvitta Ottley


Assistant Professor of Computer Science and Engineering
Assistant Professor of Psychological and Brain Sciences (courtesy)
PhD in Computer Science, Tufts University, 2016

Graduate Students

David Flasterstein


Graduate Student.


Ran Wan


Graduate Researcher.


Joshua Landman


Graduate Researcher.


Undergraduates Students

Ana Boyer


Undergraduate Researcher.


Alumni

Surina Puri | Georgia Tech

Jennifer Li | Arizona State University

Shayan Monadjemi | University of Texas at Dallas

Jordan Perry | Lincoln University

Jake Kent | Washington University in St. Louis

Jacob Pepe | Washington University in St. Louis

SELECT PUBLICATIONS


PROACT: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication [pdf]
Anzu Hakone, Lane Harrison, Alvitta Ottley, Nathan Winters, Caitlin Gutheil, Paul K. J. Han and Remco Chang
InfoVis (IEEE Transactions on Visualization and Computer Graphics (TVCG)), 2016.

Improving Bayesian Reasoning: The Effects of Phrasing, Visualization, and Spatial Ability [pdf]
Alvitta Ottley, Evan M. Peck, Lane Harrison, Daniel Afergan, Caroline Ziemkiewicz, Holly A. Taylor, Paul K. J. Han and Remco Chang
InfoVis (IEEE Transactions on Visualization and Computer Graphics (TVCG)), 2015.

Personality as a Predictor of User Strategy: How Locus of Control Affects Search Strategies on Tree Visualizations [pdf]
Alvitta Ottley, Huahai Yang and Remco Chang
Proc. ACM Human Factors in Computer Systems (CHI), 2015.
Honorable Mention Award

Finding Waldo: Learning about Users from their Interactions [pdf]
Eli Brown, Alvitta Ottley, Jieqiong Zhao, Quan Lin, Alex Endert, Richard Souvenir and Remco Chang
VAST(IEEE Transactions on Visualization and Computer Graphics (TVCG)), 2014.

Manipulating and Controlling for Personality Effects on Visualization Tasks [pdf]
Alvitta Ottley, R. Jordan Crouser, Caroline Ziemkiewicz and Remco Chang
Journal of Information Visualization (IVI), 2013

The Adaptive User: Priming to Improve Interaction [pdf]
Alvitta Ottley, Evan M Peck, Lane Harrison and Remco Chang
ACM CHI Workshop on Many People Many Eyes, 2013

How Visualization Layout Relates to Locus of Control and Other Personality Factors [pdf]
Caroline Ziemkiewicz, Alvitta Ottley, R. Jordan Crouser, Ashley Rye Yauilla, Sara Su, William Ribarsky and Remco Chang
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2012

TEACHING

Spring 2017: CSE 557A Information Visualization (29)

Featured Projects
Map

Sex Offenders

Dan Zeng, Micah Goodman & Manil Bastola

Twitter

Twitter

Wint Yee Hnin, Yongzheng Huang & Krushnaraj Kamtekar

MLB

MLB Players

Christopher Ogle, Brody Roush & Ben Rosenkranz


Spring 2017: Independent Study w/ Jake Kent

Designs
Map
Twitter
MLB

Fall 2016: CSE 557A Information Visualization (16)

Featured Projects
Map

Space!

Nathan Gitter & Rob Osorio

Twitter

New Coders Survey

Evan Balzuweit & Kelly Stathis

MLB

US Pollution

Joshua Landman & Claire Komyati

OPENINGS

We are hiring!

The Visual Data Analysis Group at Washington University is looking for up to motivated graduate and undergraduate students who are willing to push the limits of current practices in visual data analysis and create next generataion visualization systems. Areas of interest include:

Apply by emailing your resume to Prof. Ottley.

CONTACT

Prof. Alvitta Ottley
Computer Science and Engineering
Psychological and Brain Sciences (courtesy)
Washington University
Saint Louis, MO 63130, USA
Email: alvitta@wustl.edu
Phone: (314) 935-2738