Jessica Ruth Hullman

  • 285 Citations
20112023
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Personal profile

Research Interests

The goal of my research is to help more people make sense of complex information, and in particular to reason about uncertainty. Information visualizations leverage perception to summarize data in a cognitively efficient format, making them popular in the media and science. However, many visualizations and other data summaries fail to communicate effectively. One problem is that authors often omit uncertainty information, such as that data are interpreted as being more credible than they are. Another problem is that authors often assume that if the right information--data, statistic, finding etc.--is presented, the audience will naturally trust the presentation and make better decisions.

My research addresses these problems in two ways. First, I use of controlled experiments to identify and model how people reason with data, and in particular uncertainty. Secondly, I create novel interactive tools and techniques that aim to extend and amplify users' abilities to think with data by aligning with their internal representations of complex phenomena.

Education/Academic qualification

Information (Visualization), PhD, University of Michigan School of Information

… → 2013

Comparative Studies, BA, The Ohio State University

… → 2003

Writing and Poetics, Prose Concentration, MFA, Naropa University

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Visualization Engineering & Materials Science
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Grants 2018 2023

Visualization
Curricula
Feedback
Data visualization
Taxonomies
Visualization
Display devices
User interfaces
Statistics
Specifications

Research Output 2011 2019

  • 285 Citations
  • 17 Conference contribution
  • 8 Article
  • 1 Review article
2 Citations (Scopus)

A Bayesian cognition approach to improve data visualization

Kim, Y. S., Walls, L. A., Krafft, P. & Hullman, J. R., May 2 2019, CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data visualization
Visualization

Decision-making under uncertainty in research synthesis: Designing for the garden of forking paths

Kale, A., Kay, M. & Hullman, J. R., May 2 2019, CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Decision making
Communication
Uncertainty

HCI for accurate, impartial and transparent journalism: Challenges and solutions

Aitamurto, T., Birnbaum, L. A., Hullman, J. R., Ananny, M., Diakopoulos, N. A., Ritchie, N., Anderson, C. W. & Hanson, M., May 2 2019, CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 3299007. (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human computer interaction
Transparency
User interfaces
2 Citations (Scopus)

Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data

Kale, A., Nguyen, F., Kay, M. & Hullman, J. R., Jan 1 2019, In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, p. 892-902 11 p., 8440816.

Research output: Contribution to journalArticle

Visualization
Uncertainty
Conveying
Time series
Decision making
2 Citations (Scopus)

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation

Hullman, J. R., Qiao, X., Correll, M., Kale, A. & Kay, M., Jan 1 2019, In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, p. 903-913 11 p., 8457476.

Research output: Contribution to journalReview article

Visualization
Taxonomies
Uncertainty
Decision making
Semantics