Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making.
CoRR, February, 2025
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems.
ACM Trans. Intell. Syst. Technol., August, 2024
V: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions.
IEEE Trans. Vis. Comput. Graph., January, 2024
Gender Bias in LLM-generated Interview Responses.
CoRR, 2024
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems.
Proceedings of the IEEE Visualization in Data Science, 2024
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions.
CoRR, 2023
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
HungerGist: An Interpretable Predictive Model for Food Insecurity.
Proceedings of the IEEE International Conference on Big Data, 2023
Tribe or Not? Critical Inspection of Group Differences Using TribalGram.
ACM Trans. Interact. Intell. Syst., 2022
Improving Citizen-initiated Police Reform Efforts through Interactive Design: A Case Study in Allegheny County.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022
FairSight: Visual Analytics for Fairness in Decision Making.
IEEE Trans. Vis. Comput. Graph., 2020
PolicyFlow: Interpreting Policy Diffusion in Context.
ACM Trans. Interact. Intell. Syst., 2020
FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.
Proceedings of the 30th IEEE Visualization Conference, 2019