Grace Guo

According to our database, Grace Guo authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models.

Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister

CoRR, 2024

Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows.

Grace Guo, Dustin Arendt, Alex Endert

CoRR, 2024

Situating Data Sets: Making Public Data Actionable for Housing Justice.

Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond, Carl DiSalvo

CoRR, 2024

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models.

Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Situating Datasets: Making Public Eviction Data Actionable for Housing Justice.

Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan, Elora Lee Raymond, Carl DiSalvo

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships.

Grace Guo, John T. Stasko, Alex Endert

Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 2024

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy.

Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher J. MacLellan, Alex Endert

Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 2024

2023

Causalvis: Visualizations for Causal Inference.

Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

A Survey of Human-Centered Evaluations in Human-Centered Machine Learning.

Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim

Comput. Graph. Forum, 2021

VAINE: Visualization and AI for Natural Experiments.

Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt

Proceedings of the 2021 IEEE Visualization Conference, 2021

2020

A Comparative Analysis of Industry Human-AI Interaction Guidelines.

Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau

CoRR, 2020

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations.

Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim

CoRR, 2020

Examining Design-Centric Test Participants in Graphical Perception Experiments.

Grace Guo, Bianchi Dy, Nazim Ibrahim, Sam Conrad Joyce, Ate Poorthuis

Proceedings of the 22nd Eurographics Conference on Visualization, 2020