Emily Wall, Ph.D.

My research involves decision making using data visualizations and visual analytics. I develop computational strategies to characterize human limitations in decision making (e.g., cognitive bias) and design interventions to promote reflective data analysis and decision making processes. I am an Assistant Professor in the Computer Science Department at Emory University. I completed my Ph.D. in Computer Science at Georgia Tech in 2020 and was a postdoctoral researcher at Northwestern University 2020-2021.

emily.wall@emory.edu @profembwall
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Math & Science Center W302E emilywall.github.io
PDF of CV

Appointments

2021- Assistant Professor
Department of Computer Science
(Affiliate) Center for Data Science
Emory University
2020-2021 Postdoctoral Researcher
Department of Computer Science
Northwestern University

Education

2020 Ph.D. in Computer Science
Georgia Institute of Technology
Thesis: Detecting and Mitigating Human Bias in Visual Analytics
Committee: Alex Endert, John Stasko, Polo Chau, Brian Fisher, Wenwen Dou
2015 B.S. in Computer Science & Mathematics
University of Georgia
summa cum laude

Honors & Awards

2020 VGTC Best Dissertation, Honorable Mention
2019 GVU Foley Scholar, Recipient, Georgia Institute of Technology
2019 D.E. Shaw Exploration Fellowship, Recipient
2019-2020 Siemens FutureMaker Fellowship, Recipient
2018 GVU Foley Scholar, Finalist, Georgia Institute of Technology
2017 Graduate Student Symposium, Participant, AT&T Labs
2017 Doctoral Colloquium, Participant, IEEE VIS
2017-2020 Graduate Fellowship for STEM Diversity (GFSD), Recipient
2017 NSF Graduate Research Fellowship Program, Honorable Mention
2017 Department of Defense SMART Fellowship, Recipient (Declined)
2015-2019 President's Fellowship, Recipient, Georgia Institute of Technology

Publications

Journal Articles

VisHiker’s Guide to Evaluation: Competing Considerations in Study Design
E. Wall, C. Xiong, and Y-S. Kim
IEEE Computer Graphics and Applications, 2022.
PDF

VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism
S. Mahajan, B. Chen, A. Karduni, Y-S. Kim, and E. Wall
Computer Graphics Forum (Proc. EuroVis'22), 2022.
PDF | Slides

Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases
E. Wall, A. Narechania, A. Coscia, J. Paden, and A. Endert
IEEE Transactions on Visualization and Computer Graphics (Proc. VIS'21), 2021.
PDF | Talk | Video | Video FF

Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis
A. Narechania, A. Coscia, E. Wall, and A. Endert
IEEE Transactions on Visualization and Computer Graphics (Proc. VIS'21), 2021.
PDF | System & Code | Talk | Video | Video FF

VitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics
A. Narechania, A. Karduni, R. Wesslen, and E. Wall
IEEE Transactions on Visualization and Computer Graphics (Proc. VIS'21), 2021.
PDF | System & Code | Talk | Video | Video FF

A Heuristic Approach to Value-Driven Evaluation of Visualizations
E. Wall, M. Agnihotri, L. Matzen, K. Divis, M. Haass, A. Endert, and J. Stasko
IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis'18), 2019.
PDF | Talk | Website | Video FF

Podium: Ranking Data Using Mixed-Initiative Visual Analytics
E. Wall, S. Das, R. Chawla, B. Kalidindi, E. Brown, and A. Endert
IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), 2018.
PDF | Talk | Video | Video FF | Demo

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings
B.C. Kwon, H. Kim, E. Wall, J. Choo, H. Park, and A. Endert
IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'16), 2017.
PDF | Video


Conference Proceedings

Toward a Design Space for Mitigating Cognitive Bias in Vis
E. Wall, J. Stasko, and A. Endert
IEEE Information Visualization (VIS) Short Papers, 2019.
PDF | Supplemental | Talk | Video FF

A Markov Model of Users’ Interactive Behavior in Scatterplots
E. Wall, A. Arcalgud, K. Gupta, and A. Jo
IEEE Information Visualization (VIS) Short Papers, 2019.
PDF | Talk | Video FF

A Formative Study of Interactive Bias Metrics in Visual Analytics Using Anchoring Bias
E. Wall, L. Blaha, C. Paul, and A. Endert
Proceedings of the 17th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT'19), 2019.
PDF | Video

Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching
E. Wall, S. Ghorashi, and G. Ramos
Proceedings of the 17th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT'19), 2019.
PDF | Video

Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics
E. Wall, L. Blaha, L. Franklin, and A. Endert
IEEE Visual Analytics Science and Technology (VAST), 2017.
PDF | Talk | Video | Video FF

Supporting Team-First Visual Analytics through Group Activity Representations
S.K. Badam, Z. Zeng, E. Wall, A. Endert, and N. Elmqvist
Graphics Interface, 2017.
PDF | Video


Refereed Workshop Papers

Perception of Skill in Visual Problem Solving: An Analysis of Interactive Behaviors, Personality Traits, and the Dunning-Kruger Effect
M. Chen and E. Wall
Workshop on TRust and EXpertise in Visual Analytics (TREX, at VIS'22), 2022.
PDF

COVID-19 Health Equity Dashboard - Addressing Vulnerable Populations
S. Liu, E. Wall, S. Patel, and Y. Park
Visualization for Communication (VisComm, at VIS'20), 2020.
PDF

Four Perspectives on Human Bias in Visual Analytics
E. Wall, L. Blaha, C. Paul, K. Cook, and A. Endert
DECISIVe: Workshop on Dealing with Cognitive Biases in Visualizations (at InfoVis'17), 2017.
PDF


Book Chapters

Four Perspectives on Human Bias in Visual Analytics
E. Wall, L. Blaha, C. Paul, K. Cook, and A. Endert
Cognitive Biases in Visualizations, Ed. G. Ellis, Springer, 2018, Chapter 3, pp. 29-42.
Book | Chapter


Theses

Detecting and Mitigating Human Bias in Visual Analytics
Emily Wall
Georgia Tech, School of Interactive Computing Ph.D. Thesis. April 2020.
PDF


Grants & Funding

Research

2022-2023 A Novel Web-based Decision Aid Tool for Reducing COVID-19 Vaccine Hesitancy
HealthCare Innovation Seed Grant
Co-PIs: Dr. Ambar Kulshreshtha, Dr. Shivani Patel, Dr. Piyush Kumar
Funded: $24,995
2019-2020 Toward Mitigating Cognitive Bias for Data-Driven Decision Making with Visual Analytics
Siemens FutureMaker Fellowship
Co-PIs: Dr. Alex Endert
Funded: $101,435
2019 Detecting and Mitigating Human Bias in Visual Analytics
GVU Foley Scholar
Co-PIs: Dr. Alex Endert
Funded: $5,000
2017-2020 Toward Mitigating Cognitive Bias for Data-Driven Decision-Making With Visual Analytics
Graduate Fellowship for STEM Diversity (GFSD)
Co-PIs: Dr. Alex Endert
Funded: $20,000 / year for 3 years
2014 Predicting Solar Radiation in Georgia
CURO Research Assistantship
Co-PIs: Dr. Don Potter
Funded: $1,000

Teaching

2022 Fall Pedagogy Mini Grant
Information Visualization (CS 485/584)
Funded: $350
Purpose: fund user study incentives for course projects that are pursuing publication

Teaching

Instructor

Fall 2022 Information Visualization (CS 485 / 584) (41 students)
Emory University
Spring 2022 Human-Computer Interaction (CS 485 / 584) (40 students)
Emory University
Fall 2021 Information Visualization (CS 485 / 584) (26 students)
Emory University

Guest Lecturer

Nov 2022 Bias in Data-Driven Decision Making: Perception, Cognition, and Metacognition
Introduction to Information Visualization (CS 4460), Georgia Institute of Technology
Oct 2021 Visual Analytics
Data Visualization (CompSci 765), University of Wisconsin
Feb 2019 Introduction to Javascript
Introduction to Information Visualization (CS 4460), Georgia Institute of Technology
Dec 2017 Cognition in Visualization
Information Visualization (CS 7450), Georgia Institute of Technology
Nov 2017 Visual Analytics
Information Visualization (CS 7450), Georgia Institute of Technology
Jun 2017 Visualization Design: Do's and Don'ts
Introduction to Information Visualization (CS 4460), Georgia Institute of Technology

Presentations

Invited Talks

Cognition & Visualization @ Emory: A Visualization Viewpoint on Mitigating Metacognitive Deficits
> September 2022. Emory SON Center for Data Science.
> September 2022. ATLAS Institute at University of Colorado - Boulder.
Bias in Visualization: Considering Equity through Research
> November 2021. Object Perception, visual Attention, and visual Memory (OPAM) conference. Watch
As We Are: Detecting and Mitigating Human Bias in Visual Analytics
> April 2021. University of Utah, Data Science Seminar. Virtual Seminar.
> October 2020. Pacific Northwest National Laboratory. Virtual Brown Bag.
> September 2020. Emory University. Atlanta, GA. Abstract
> May 2020. CMU & AFRL, Center for Excellence on Human-Machine Teaming. Virtual Brown Bag.
> May 2020. Siemens. Virtual Brown Bag.
> March 2020. Cornell University, Info Science Colloquium. Ithaca, NY. Abstract
> February 2020. University of Washington, Allen School Colloquium. Seattle, WA. Watch
> February 2020. Emory University. Atlanta, GA. Abstract
> February 2020. New York University. New York, NY. Abstract
> February 2020. University of Wisconsin. Madison, WI.
Left, Right, and Gender: Mitigating Implicit Human Bias in Visual Analytics
> January 2020. Georgia Institute of Technology, GVU Brown Bag. Atlanta, GA. Watch
The Interactive Analytics Library: Treating Interaction as Data
> May 2017. Pacific Northwest National Laboratory. Richland, WA.

Posters and Demonstrations

Warning, Bias May Occur: Detecting and Mitigating Cognitive Bias in Visual Analytics (Poster & Demo)
> October 2019. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
> June 2019. Summer Institute on Bounded Rationality. Berlin, Germany.
> April 2019. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics (Demo)
> April 2018. CRA-W Grad Cohort. San Francisco, CA.
> April 2018. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
> April 2017. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
Podium: Ranking Data Using Mixed-Initiative Visual Analytics (Poster & Demo)
> April 2018. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
> April 2017. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.
> April 2018. CRA-W Grad Cohort. San Diego, CA.
> April 2016. Georgia Institute of Technology, GVU Demo Showcase. Atlanta, GA.

Students

Advisees

2019- Yanan Da
Ph.D. Computer Science and Informatics, Emory University
2019- Ziwei Dong
Ph.D. Computer Science and Informatics, Emory University
2019- Shrey Gupta (co-advised w/ Avani Wildani)
Ph.D. Computer Science and Informatics, Emory University
2021- Shiyao Li
Ph.D. Computer Science and Informatics, Emory University
2022- Mengyu (Bonnie) Chen
Ph.D. Computer Science and Informatics, Emory University

Thesis Committee

2022 Christina Chance
Thesis: Accuracy of African American Vernacular English for Closed Captioning on Zoom
B.S. Honors Computer Science, Emory University (now: Ph.D. student, UCLA)

Mentoring

2022- Alexandra Li, B.S. Computer Science and Philosophy, Politics, and Law, Emory University, Class of 2023
Developing novel web plugin for laypersons' security verification using generation of human faces from deep neural networks
2022-2023 Ruby Wu, B.S. Computer Science, Emory University, Class of 2023
Developing visual analytic tool to curate a novel social media-based health index
2022- Julietta Zhu, B.S. Quantitative Sciences (Psychology Track), Emory University, Class of 2024
Improving self reflection on academic productivity
2022- Yijun Liu, B.S. Quantitative Sciences, Emory University, Class of 2024
Detecting Dunning-Kruger Effect in data visualization
2022- Zhongzheng Xu, B.S. Computer Science, Emory University, Class of 2023
Visual, sonified, and tangible data accessibility
2021- Randy Truong, B.S. Computer Science and Quantitative Sciences, Emory University, Class of 2023
Eliciting affective response using visualization and sonification
2021-2022 Zhou (Serena) Fang, B.S. Quantitative Sciences, Emory University, Class of 2022 (now: M.S. Biomedical Informatics, Harvard)
Incorporating topic modeling in a visual analytic system for conducting literature reviews
2021-2022 Yiping (Jessie) Liang, B.S. Computer Science and Applied Math, Emory University, Class of 2022
Conducting user study and evaluation for assessing impact of data representation on confirmation bias
2020-2021 Jenni Hutson, B.A. Computer Science and Radio/TV/Film, Northwestern University, Class of 2021
Developed system for visualization recommendations that support decision making
2020 Star Liu, B.S. Quantitative Sciences, Emory University, Class of 2021
Developed system for visualizing health inequities during the COVID-19 pandemic, first author of case study on COVID-19 Health Equity Dashboard
Now: MS Health Sciences Informatics Student at Johns Hopkins
2020 Jamal Paden, B.S. Computer Science, Georgia Institute of Technology, Class of 2020
Conducted usability testing for bias mitigation interventions, coauthor of Left, Right, and Gender
2017-2018 Yingxiao Ouyang, M.S. HCI, Georgia Institute of Technology, Class of 2019
Conducted usability testing and prototyping for bias mitigation interventions
Now: UX Designer at Walmart Labs
2017 Qiaochu Mu, M.S. HCI, Georgia Institute of Technology, Class of 2018
Conducted usability testing and prototyping for bias mitigation interventions
Now: UX Designer at Alibaba Group
2016-2017 Bharath Kalidindi, B.S. Computer Science, Georgia Institute of Technology, Class of 2018
Developed system for ranking data from user interaction, coauthored publication of Podium
Now: Software Engineer at Yahoo

Service

Professional Service

2021-2022 Organizing Committee
Elections Chair, VIS 2021-2023
> Program Committee Member
BELIV Workshop on "Designing and Evaluating Visualizations for an Ethical, Inclusive, and Responsible Future", 2022
IEEE VIS, 2021-2022
EuroVis, 2022
ACM CHI, 2022
Vis4Good Workshop at IEEE VIS, 2021
IEEE VIS Short Papers, 2020
VISxAI Workshop at IEEE VIS, 2019
CHI Late Breaking Work, 2018
> Organizer
Visualization for Social Good Workshop at IEEE VIS 2022
TRust and EXpertise in Visual Analytics (TREX) Workshop at IEEE VIS 2021
TRust and EXpertise in Visual Analytics (TREX) Workshop at IEEE VIS 2020
2021 Panelist
Equity in Vision Science at Object Perception, visual Attention, and visual Memory (OPAM) conference
2017 Panelist
Advancing Visualization Inclusion and Diversity (AVID) Workshop at IEEE VIS
> Reviewer
National Science Foundation: 2021
IEEE VIS: 2017-2022
CHI: 2018-2023
TVCG: 2018-2022
EuroVis: 2020-2022
ACM TiiS: 2022
Cognitive Research: 2022
CG&A: 2021
CSCW: 2021
International Journal of Human-Computer Studies: 2019
KDD IDEA: 2017
VAST Challenge: 2016
> Session Chair
Questioning Data and Data Bias @ IEEE VIS 2022
Guidelines and Accessibility @ EuroVIS 2022
Interaction and Animation @ IEEE VIS 2020
> Other Committees
VISxAI Best Paper Award Selection Committee: 2021
CHI Best Paper Award Selection Committee: 2022

Institutional Service

> Panelist
DEI Statement Panel, Emory University, 2021
Innovations in Online Teaching Panel, Emory University, 2021
2020-2021 Faculty Search Committee
Computer Science Department, Emory University
2020-2022 Graduate Admissions Committee
Computer Science Department, Emory University

Selected Media

Nov 2019 A Reflection on VIS2019: Or, How Doomed Are We? Medium Blog Post, Multiple Views on Visualization Research Explained. Read
by Michael Correll
Nov 2019 Highlights from IEEE VIS 2019, Uncharted Software Blog. Read
by Rosa Romero-Gómez
May 2019 Battling Bias. Ep. 3, Tech Unbound Podcast. Listen
with Josh Preston

Other Professional Activities

Aug 2022 Interactive Visualization for Fostering Trust in ML
Dagstuhl, Wadern, Germany
Aug 2022 Emory CFDE Summer Teaching Intensive
Emory University
Jun 2022 Visualization Summer Camp
Atlantic City, NJ
Fall 2021 Emory CFDE Grantseekers' Institute
Emory University
Oct 2021, June 2020 Emory College Online Teaching Strategies (ECOTS)
Emory University
Aug 2021 Visualization Summer Camp
Minneapolis, MN
Oct 2019 NextProf Nexus Workshop
Atlanta, GA
Jun 2019 Summer Institute on Bounded Rationality
Berlin, Germany
Apr 2018 CRA-W Grad Cohort Workshop
San Francisco, CA
Oct 2016 Grace Hopper Celebration of Women in Computing
Houston, TX
Apr 2016 CRA-W Grad Cohort Workshop
San Diego, CA