Emily Wall

Orcid: 0000-0003-4568-0698

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Emily Wall authored at least 32 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models.
CoRR, June, 2025

Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment.
IEEE Trans. Vis. Comput. Graph., January, 2025

Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science.
Proc. ACM Hum. Comput. Interact., 2025

A Design Space of Behavior Change Interventions for Responsible Data Science.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Visual Salience to Mitigate Gender Bias in Recommendation Letters.
Proceedings of the Human-Computer Interaction - INTERACT 2025, 2025

Confirmation Bias: The Double-Edged Sword of Data Facts in Visual Data Communication.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

A Novel Lens on Metacognition in Visualization.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024
A Qualitative Interview Study of Distributed Tracing Visualisation: A Characterisation of Challenges and Opportunities.
IEEE Trans. Vis. Comput. Graph., July, 2024

vitaLITy 2: Reviewing Academic Literature Using Large Language Models.
CoRR, 2024

A Hybrid Expert System for Estimation of the Manufacturability of a Notional Design.
Appl. Comput. Intell. Soft Comput., 2024

Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop.
Proceedings of the IEEE Visualization in Data Science, 2024

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

2023
Belief Decay or Persistence? A Mixed-method Study on Belief Movement Over Time.
Comput. Graph. Forum, June, 2023

Let's Get Vysical: Perceptual Accuracy In Visual and Tactile Encodings.
CoRR, 2023

Let's Get Vysical: Perceptual Accuracy in Visual & Tactile Encodings.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

2022
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases.
IEEE Trans. Vis. Comput. Graph., 2022

VITALITY: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2022

Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis.
IEEE Trans. Vis. Comput. Graph., 2022

VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism.
Comput. Graph. Forum, 2022

VisHikers' Guide to Evaluation: Competing Considerations in Study Design.
IEEE Computer Graphics and Applications, 2022

2020
Detecting and mitigating human bias in visual analytics.
PhD thesis, 2020

2019
A Heuristic Approach to Value-Driven Evaluation of Visualizations.
IEEE Trans. Vis. Comput. Graph., 2019

Toward a Design Space for Mitigating Cognitive Bias in Vis.
Proceedings of the 30th IEEE Visualization Conference, 2019

A Markov Model of Users' Interactive Behavior in Scatterplots.
Proceedings of the 30th IEEE Visualization Conference, 2019

Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

A Formative Study of Interactive Bias Metrics in Visual Analytics Using Anchoring Bias.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

2018
Podium: Ranking Data Using Mixed-Initiative Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2018

Four Perspectives on Human Bias in Visual Analytics.
Proceedings of the Cognitive Biases in Visualizations., 2018

2017
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph., 2017

Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics.
Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

Supporting Team-First Visual Analytics through Group Activity Representations.
Proceedings of the 43rd Graphics Interface Conference 2017, 2017


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