Liao, Q. Vera

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

Liao, Q. V., Gruen, D., & Miller, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 925

Expanding Explainability: Towards Social Transparency in AI systems

Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 538

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Bhatt, U., Antorán, J., Zhang, Y., Liao, Q. V., Sattigeri, P., Fogliato, R., Melançon, G., Krishnan, R., Stanley, J., Tickoo, O., et al. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 300

Explaining models: an empirical study of how explanations impact fairness judgment

Dodge, J., Liao, Q. V., Zhang, Y., Bellamy, R. K. E., & Dugan, C. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 286

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Arya, V., Bellamy, R. K. E., Chen, P.-Y., Dhurandhar, A., Hind, M., Hoffman, S. C., Houde, S., Liao, Q. V., Luss, R., Mojsilović, A., et al. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 268

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns

Ashktorab, Z., Jain, M., Liao, Q. V., & Weisz, J. D. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

AI in Service InteractionsSpeech and dialogue systems

Cited by 224

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations

Chen, V., Liao, Q. V., Wortman Vaughan, J., & Bansal, G. (2023) · Proceedings of the ACM on Human-Computer Interaction

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 220

Investigating Explainability of Generative AI for Code through Scenario-based Design

Sun, J., Liao, Q. V., Muller, M., Agarwal, M., Houde, S., Talamadupula, K., & Weisz, J. D. (2022) · 27th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 219

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

Liao, Q. V., & Wortman Vaughan, J. (2024) · Harvard Data Science Review

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 210

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

Liao, Q. V., & Vaughan, J. W. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 209

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies

Lai, V., Chen, C., Smith-Renner, A., Liao, Q. V., & Tan, C. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 204

Designing for Responsible Trust in AI Systems: A Communication Perspective

Liao, Q. V., & Sundar, S. S. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 165

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

Kim, S. S. Y., Liao, Q. V., Vorvoreanu, M., Ballard, S., & Vaughan, J. W. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Human-Automation Interaction and SafetyInformation Retrieval and Search Behavior

Cited by 147

Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking

Sharma, N., Liao, Q. V., & Xiao, Z. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 132

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Ehsan, U., Passi, S., Liao, Q. V., Chan, L., Lee, I.-H., Muller, M., & Riedl, M. O. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 123

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Liao, Q. V., & Varshney, K. R. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 120

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Ehsan, U., Wintersberger, P., Liao, Q. V., Watkins, E. A., Manger, C., Daumé III, H., Riener, A., & Riedl, M. O. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 117

FarmChat: A Conversational Agent to Answer Farmer Queries

Jain, M., Kumar, P., Bhansali, I., Liao, Q. V., Truong, K., & Patel, S. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

ICT in Developing CommunitiesUsability and User Interface Design

Cited by 117

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers

Ghai, B., Liao, Q. V., Zhang, Y., Bellamy, R., & Mueller, K. (2021) · Proceedings of the ACM on Human-Computer Interaction

Explainable Artificial Intelligence (XAI)Machine Learning and Algorithms

Cited by 106

Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making

Prabhudesai, S., Yang, L., Asthana, S., Huan, X., Liao, Q. V., & Banovic, N. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 82

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization

Fan, M., Yang, X., Yu, T., Liao, Q. V., & Zhao, J. (2022) · Proceedings of the ACM on Human-Computer Interaction

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 81

Age differences in credibility judgments of online health information

Liao, Q. V., & Fu, W.-T. (2014) · ACM Transactions on Computer-Human Interaction

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 71

Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access

Xiao, Z., Liao, Q. V., Zhou, M., Grandison, T., & Li, Y. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces

Expert finding and Q&A systemsMisinformation and Its Impacts

Cited by 59

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Kim, S. S. Y., Vaughan, J. W., Liao, Q. V., Lombrozo, T., & Russakovsky, O. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Information Retrieval and Search Behavior

Cited by 58