| 2026 | HCI | Assessing the Causal Reliability of AI-Generated Emergency Explanations: An Intervention-Based Evaluation Framework. | Anjon Basak, Adrienne Raglin |
| 2026 | HCI | Learning Heteroscedastic Uncertainty in Deterministic Simulations for Probabilistic Abductive Reasoning. | Avvai Chandrasekaran, Adrienne Raglin, Andrew S. Gordon |
| 2026 | HCI | A Novel Exploration of Reasoning in Artificial Intelligence. | Dawn A. Lott, Somiya Metu, Adrienne Raglin |
| 2026 | HCI | A Knowledge Graph-Based Neurosymbolic Framework for Context-Aware and Explainable Inference. | Kelechi Nwachukwu, Anjolie Anthony, Peter Taiwo, Atul Rawal, Adrienne Raglin, Kofi Nyarko |
| 2026 | PAKDD | CAMO: Causality-Guided Adversarial Multimodal DOmain Generalization for Crisis Classification. | Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu |
| 2026 | WSDM | On Causal and Anticausal LLM-based Data Synthesis. | Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu |
| 2025 | CIKM | An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. | Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu |
| 2025 | HCI | A Traffic Risk Semantic Framework for Enhanced Trajectory Prediction and Explainable Risk Assessment in Autonomous Driving. | Anjon Basak, Xuan Di, Adrienne Raglin |
| 2025 | HCI | Enhancing Interpretability and Gaining Insights into Robustness in Vision-Language Models Through Core and Spurious Feature Detection via Counterfactuals. | Anjon Basak, Adrienne Raglin |
| 2025 | HCI | Negative Nudging to Quantify the LLM Hallucination. | David Han, Adrienne Raglin, Doug Summers-Stay |
| 2025 | HCI | Directions for Computational Theory of Mind: Data, Metrics, Models and Mathematical Formalization. | Prabhat Kumar, Erin Zaroukian, Douglas Summers-Stay, Adrienne Raglin |
| 2025 | HCI | PEIRE: A Model for the Transfer of Information. | Dawn A. Lott, Somiya Metu, Adrienne Raglin |
| 2025 | HCI | Trust Calibration for Joint Human/AI Decision-Making in Dynamic and Uncertain Contexts. | Laura R. Marusich, Benjamin T. Files, Melanie Bancilhon, Justine Rawal, Adrienne Raglin |
| 2025 | HCI | Constrained Causal Decision Dilemmas. | Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Anjon Basak, Peter Khooshabeh |
| 2025 | HCI | Artificial Intelligence, Human AI Loop Paradigm, and Artificial Reasoning. | Adrienne Raglin |
| 2025 | HCI | Causal Reasoning with Large Language Models - A ChatGPT Case Study. | Atul Rawal, Justine Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang |
| 2025 | PERCOM | Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. | Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi |
| 2025 | SERA | LLM Assisted Attribute Generation for Image Datasets - A ChatGPT Case Study. | Atul Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang |
| 2024 | HCI | Surveying Computational Theory of Mind and a Potential Multi-agent Approach. | Prabhat Kumar, Adrienne Raglin, John T. Richardson |
| 2024 | HCI | When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas. | Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Sunny Basak, Peter Khooshabeh |
| 2024 | HCI | Leveraging Generative AI Concepts with Uncertainty of Information Concept. | Adrienne Raglin |
| 2024 | HCI | Uncertainty of Information Applied to Network Monitoring Metrics. | Adrienne Raglin, Allison Newcomb, Lisa Scott |
| 2024 | HCI | Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications - A Survey. | Atul Rawal, Justine Rawal, Adrienne Raglin |
| 2023 | HCI | Redundancy in Multi-source Information and Its Impact on Uncertainty. | Thom Hawkins, Justine Rawal, Adrienne Raglin |
| 2023 | HCI | General Agent Theory of Mind: Preliminary Investigations and Vision. | Prabhat Kumar, Adrienne Raglin, John T. Richardson |
| 2023 | HCI | AI Enabled Decision Support Framework. | Adrienne Raglin, Somiya Metu |
| 2023 | HCI | What Color is Your Swan? Uncertainty of Information Across Data. | Adrienne Raglin, Allison Newcomb, Lisa Scott |
| 2023 | HCI | A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems. | Atul Rawal, James McCoy, Adrienne Raglin, Danda B. Rawat |
| 2023 | KDD | Socially Responsible Machine Learning: A Causal Perspective. | Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu |
| 2022 | HCI | Uncertainty of Information (UoI) Taxonomy Assessment Based on Experimental User Study Results. | Adrienne Raglin, Aleah Emlet, Justine Caylor, John T. Richardson, Mark R. Mittrick, Somiya Metu |
| 2021 | HCI | Dynamic Course of Action Analysis with Uncertainty of Information in Wargaming Environment. | Adrienne Raglin, John T. Richardson, Mark R. Mittrick, Somiya Metu |
| 2020 | HCI | Concept for Human and Computer to Determine Reason Based Scene Location. | Adrienne Raglin, Andre Harrison |
| 2020 | HCI | Challenges of Simulating Uncertainty of Information. | Adrienne Raglin, Somiya Metu, Dawn A. Lott |
| 2020 | IJCAI | IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. | Ruocheng Guo, Jundong Li, Yichuan Li, K. Seluk Candan, Adrienne Raglin, Huan Liu |
| 2019 | HCI | Evaluation of Immersive Interfaces for Tactical Decision Support. | Mark Dennison, Mark R. Mittrick, John T. Richardson, Theron Trout, Adrienne Raglin, Eric Heilman, Timothy P. Hanratty |
| 2019 | HCI | Presentation of Information Uncertainty from IoBT for Military Decision Making. | Adrienne Raglin |
| 2019 | IUI | I can do better than your AI: expertise and explanations. | James Schaffer, John O'Donovan, James Michaelis, Adrienne Raglin, Tobias Hllerer |
| 2019 | UIC | Abductive Causal Reasoning for Internet of Things. | Adrienne Raglin, Anshuman Venkateswaran, Huan Liu |
| 2019 | UIC | IoT in Smart Cities: Exploring Information Theoretic and Deep Learning Models to Improve Parking Solutions. | Piyush Sharma, Adrienne Raglin |
| 2018 | FlAIRS | Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data. | James Schaffer, James Michaelis, Adrienne Raglin, Stephen Russell |
| 2018 | HCI | MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior. | Adrienne Raglin, James Michaelis, Mark Dennison, Andre Harrison, Theron Trout, James Schaffer |
| 2018 | ICMLA | Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. | Piyush Sharma, Adrienne Raglin |
| 2018 | ICMLA | Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. | Piyush Sharma, Adrienne Raglin |
| 2017 | HCI | The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs. | Andre Harrison, Mark A. Livingston, Derek P. Brock, Jonathan W. Decker, Dennis Perzanowski, Christopher Van Dolson, Joseph Mathews, Alexander Lulushi, Adrienne Raglin |