We are the Cognition & Visualization Lab at Emory. We aim to facilitate effective data exploration and decision making by quantifying potential human or algorithmic biases and designing interfaces that will promote user reflection. Current and prospective students in the CAV Lab can check out the lab manual for information on lab culture and expectations.
If you are interested in working with our lab, please contact us.
October 2023. Dr. Wall will be participating in two panels at IEEE VIS 2023 in Melbourne. She will be a moderator for the panel Establishing and Thriving in an Academic Career taking place on Wednesday morning, and she will be a panelist for What is a Visual Analytics contribution, and how is it changing? on Wednesday afternoon.
October 2023. Thomas Davidson will present his paper A Qualitative Interview Study of Distributed Tracing Visualisation: A Characterisation of Challenges and Opportunities, Zhongzheng Xu will present his paper Let’s Get Vysical: Perceptual Accuracy in Visual & Tactile Encodings, and Yanan Da will present her workshop paper Visual Salience to Mitigate Gender Bias in LORs at IEEE VIS 2023 in Melbourne!
June 2023. Project iMuse: Popular Lyrics in Popular Songs a course project from the Information Visualization course was presented at EuroVIS 2023 by Jack Antsey, an Emory undergraduate.
May 2023. Belief Decay or Persistence? A Mixed-Method Study on Belief Movement Over Time will be presented at EuroVIS 2023 after being accepted to the Computer Graphics Forum. Congratulations to Emory student Shrey Gupta on this collaboration with Alireza Karduni
May 2023. Good luck to Yanan Da (National Renewable Energy Lab) and Ziwei Dong (Amazon) on their internships over the summer.
May 2023. Congratulations to graduating students Ben Altschuler, Randy Truong, and Zhongzheng Xu.
Assistant Professor
visual analytics; decision making; cat lady; puzzle connoisseur;
Scholar
Ph.D. Student
personal data vis; info vis; distributed tracing; running; chess;
Scholar
Ph.D. Candidate
info vis; human bias; decision making; lego; puzzle; restaurants; workout;
Scholar
Ph.D. Candidate
data visualization; machine learning interpretability; board gamer; badminton fan;
Ph.D. Candidate
(co-advised by Avani Wildani)
data viz; decision making; transfer/meta-learning; amateur runner; self-proclaimed humorist;
Scholar
Ph.D. Student
visual analytics; human behavior; bookworm; dog person;
Undergraduate Student
Mathematics and Data Science; Data Vis; Cooking; Travel; Coffee
Undergraduate Student
computing & critical design theories; phil & lit; random spotify playlists generation; weightlifting; sarcasm overload
Undergraduate Student
Sociology and Computing; UI Design; Professional baker for friends' birthdays
Undergraduate Student
Psychology and Economics; UI/UX Design; Entrepreneurship; Visual Art
social nlp; info vis; human bias; avid surfer; pro smoothie maker;
topic modeling visualizations for literature review
Now: M.S. Biomedical Informatics @ Harvard
data visualization; design & psychology lover; super fan of massage; used to go to gym everyday;
interaction design; info vis; bridging subjectivity & objectivity; visual artist; friend;
Now: Pacific Northwest National Lab in Seattle, WA
UX-design; psychology & sociology lover; vimer; owner of two cats; barista
