Effects of cognitive aging on credibility assessment of online health information. - Qingzi Vera Liao (CHI Extended Abstracts, 2010)

How user reviews influence older and younger adults' credibility judgments of online health information. - Vera Liao (CHI Extended Abstracts, 2011)

Effects of Aging and Individual Differences on Credibility Judgment of Online Health Information. - Qingzi Vera Liao; Wai-Tat Fu (CogSci, 2011)

The Impact of User Reviews on Older and Younger Adults' Attitude towards Online Medication Information. - Qingzi Vera Liao; Wai-Tat Fu (CogSci, 2011)

Crowdsourcing Quality Control of Online Information: A Quality-Based Cascade Model. - Wai-Tat Fu; Vera Liao (SBP, 2011)

Understanding experts' and novices' expertise judgment of twitter users. - Qingzi Vera Liao; Claudia Wagner 001; Peter Pirolli; Wai-Tat Fu (CHI, 2012)

Age differences in credibility judgment of online health information. - Qingzi Vera Liao; Wai-Tat Fu (IHI, 2012)

Information and Attitude Diffusion in Networks. - Wai-Tat Fu; Qingzi Vera Liao (SBP, 2012)

It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users. - Claudia Wagner 001; Vera Liao; Peter Pirolli; Les Nelson; Markus Strohmaier (SocialCom/PASSAT, 2012)

Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research. - Jason H. D. Cho; Q. Vera Liao; Yunliang Jiang; Bruce R. Schatz (BCB, 2013)

Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information. - Qingzi Vera Liao; Wai-Tat Fu (CHI, 2013)

Expert voices in echo chambers: effects of source expertise indicators on exposure to diverse opinions. - Qingzi Vera Liao; Wai-Tat Fu (CHI, 2014)

Can you hear me now?: mitigating the echo chamber effect by source position indicators. - Qingzi Vera Liao; Wai-Tat Fu (CSCW, 2014)

Age differences in credibility judgments of online health information. - Qingzi Vera Liao; Wai-Tat Fu (ACM Trans. Comput. Hum. Interact., 2014)

It Is All About Perspective: An Exploration of Mitigating Selective Exposure with Aspect Indicators. - Qingzi Vera Liao; Wai-Tat Fu; Sri Shilpa Mamidi (CHI, 2015)

What Can You Do?: Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees. - Q. Vera Liao; Matthew Davis; Werner Geyer; Michael J. Muller; N. Sadat Shami (Conference on Designing Interactive Systems, 2016)

#Snowden: Understanding Biases Introduced by Behavioral Differences of Opinion Groups on Social Media. - Qingzi Vera Liao; Wai-Tat Fu; Markus Strohmaier (CHI, 2016)

Improvising Harmony: Opportunities for Technologies to Support Crowd Orchestration. - Q. Vera Liao; Victoria Bellotti; Michael Youngblood (GROUP, 2016)

Leveraging Conversational Systems to Assists New Hires During Onboarding. - Praveen Chandar; Yasaman Khazaeni; Matthew Davis; Michael J. Muller; Marco Crasso; Q. Vera Liao; N. Sadat Shami; Werner Geyer (INTERACT (2), 2017)

A Measure for Dialog Complexity and its Application in Streamlining Service Operations. - Q. Vera Liao; Biplav Srivastava; Pavan Kapanipathi (CoRR, 2017)

The Central Role of Cognitive Computations in Human-Information Interaction. - Wai-Tat Fu; Jessie Chin; Q. Vera Liao (Computational Interaction, 2018)

All Work and No Play? - Q. Vera Liao; Muhammed Mas-ud Hussain; Praveen Chandar; Matthew Davis; Yasaman Khazaeni; Marco Patricio Crasso; Dakuo Wang; Michael J. Muller; N. Sadat Shami; Werner Geyer (CHI, 2018)

Face Value? - Ameneh Shamekhi; Q. Vera Liao; Dakuo Wang; Rachel K. E. Bellamy; Thomas Erickson (CHI, 2018)

Towards an Optimal Dialog Strategy for Information Retrieval Using Both Open- and Close-ended Questions. - Yunfeng Zhang; Q. Vera Liao; Biplav Srivastava (IUI, 2018)

What's in it for me? Self-serving versus other-oriented framing in messages advocating use of prosocial peer-to-peer services. - Rajan Vaish; Q. Vera Liao; Victoria Bellotti (Int. J. Hum. Comput. Stud., 2018)

FarmChat: A Conversational Agent to Answer Farmer Queries. - Mohit Jain; Pratyush Kumar; Ishita Bhansali; Q. Vera Liao; Khai N. Truong; Shwetak N. Patel (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Bootstrapping Conversational Agents with Weak Supervision. - Neil Mallinar; Abhishek Shah; Rajendra Ugrani; Ayush Gupta; Manikandan Gurusankar; Tin Kam Ho; Q. Vera Liao; Yunfeng Zhang; Rachel K. E. Bellamy; Robert Yates; Chris Desmarais; Blake McGregor (AAAI, 2019)

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. - Zahra Ashktorab; Mohit Jain; Q. Vera Liao; Justin D. Weisz (CHI, 2019)

How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation. - Michael J. Muller; Ingrid Lange; Dakuo Wang; David Piorkowski; Jason Tsay; Q. Vera Liao; Casey Dugan; Thomas Erickson (CHI, 2019)

Human-Agent Communication: Connecting Research and Development in HCI and AI. - Q. Vera Liao; Yi-Chia Wang; Timothy W. Bickmore; Pascale Fung; Jonathan Grudin; Zhou Yu 005; Michelle X. Zhou (CSCW Companion, 2019)

Explaining models: an empirical study of how explanations impact fairness judgment. - Jonathan Dodge; Q. Vera Liao; Yunfeng Zhang; Rachel K. E. Bellamy; Casey Dugan (IUI, 2019)

User-aware conversational agents. - Q. Vera Liao; Michal Shmueli-Scheuer; Tsung-Hsien (Shawn) Wen; Zhou Yu 005 (IUI Companion, 2019)

Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys. - Ziang Xiao; Michelle X. Zhou; Q. Vera Liao; Gloria Mark; Chang Yan Chi; Wenxi Chen; Huahai Yang (CoRR, 2019)

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (CoRR, 2019)

Enabling Value Sensitive AI Systems through Participatory Design Fictions. - Q. Vera Liao; Michael J. Muller (CoRR, 2019)

Doc2Dial: A Framework for Dialogue Composition Grounded in Documents. - Song Feng 002; Kshitij P. Fadnis; Q. Vera Liao; Luis A. Lastras (AAAI, 2020)

Conversational Agents for Health and Wellbeing. - Ahmet Baki Kocaballi; Juan C. Quiroz; Liliana Laranjo; Dana Rezazadegan; Rafal Kocielnik; Leigh Clark; Q. Vera Liao; Sun Young Park; Robert J. Moore; Adam S. Miner (CHI Extended Abstracts, 2020)

Questioning the AI: Informing Design Practices for Explainable AI User Experiences. - Q. Vera Liao; Daniel M. Gruen; Sarah Miller (CHI, 2020)

Introduction to Explainable AI. - Q. Vera Liao; Moninder Singh; Yunfeng Zhang; Rachel K. E. Bellamy (CHI Extended Abstracts, 2020)

Agent Assist through Conversation Analysis. - Kshitij Fadnis; Nathaniel Mills; Jatin Ganhotra; Haggai Roitman; Gaurav Pandey 001; Doron Cohen 001; Yosi Mass; Shai Erera; R. Chulaka Gunasekara; Danish Contractor; Siva Sankalp Patel; Q. Vera Liao; et al. (EMNLP (Demos), 2020)

AI explainability 360: hands-on tutorial. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (FAT*, 2020)

Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making. - Yunfeng Zhang; Q. Vera Liao; Rachel K. E. Bellamy (FAT*, 2020)

Business (mis)Use Cases of Generative AI. - Stephanie Houde; Vera Liao; Jacquelyn Martino; Michael J. Muller; David Piorkowski; John T. Richards; Justin D. Weisz; Yunfeng Zhang (HAI-GEN+user2agent@IUI, 2020)

user2agent: 2nd Workshop on User-Aware Conversational Agents. - Michal Shmueli-Scheuer; Ron Artstein; Yasaman Khazaeni; Hao Fang; Q. Vera Liao (IUI Companion, 2020)

Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation. - Bhavya Ghai; Q. Vera Liao; Yunfeng Zhang; Klaus Mueller 001 (DaSH@KDD, 2020)

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience. - Bhavya Ghai; Q. Vera Liao; Yunfeng Zhang; Rachel K. E. Bellamy; Klaus Mueller 001 (CoRR, 2020)

Measuring Social Biases of Crowd Workers using Counterfactual Queries. - Bhavya Ghai; Q. Vera Liao; Yunfeng Zhang; Klaus Mueller 001 (CoRR, 2020)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Yunfeng Zhang; Javier Antorán; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (CoRR, 2020)

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (J. Mach. Learn. Res., 2020)

Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes. - Zahra Ashktorab; Q. Vera Liao; Casey Dugan; James Johnson; Qian Pan; Wei Zhang 057; Sadhana Kumaravel; Murray Campbell (Proc. ACM Hum. Comput. Interact., 2020)

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers. - Bhavya Ghai; Q. Vera Liao; Yunfeng Zhang; Rachel K. E. Bellamy; Klaus Mueller 001 (Proc. ACM Hum. Comput. Interact., 2020)

Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions. - Ziang Xiao; Michelle X. Zhou; Q. Vera Liao; Gloria Mark; Chang Yan Chi; Wenxi Chen; Huahai Yang (ACM Trans. Comput. Hum. Interact., 2020)

Doc2Bot: Document grounded Bot Framework. - Kshitij P. Fadnis; Pankaj Dhoolia; Li Zhu; Q. Vera Liao; Steven Ross; Nathaniel Mills; Sachindra Joshi; Luis A. Lastras (AAAI, 2021)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Javier Antorán; Yunfeng Zhang; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (AIES, 2021)

Expanding Explainability: Towards Social Transparency in AI systems. - Upol Ehsan; Q. Vera Liao; Michael J. Muller; Mark O. Riedl; Justin D. Weisz (CHI, 2021)

Operationalizing Human-Centered Perspectives in Explainable AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Martina Mara; Marc Streit; Sandra Wachter; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2021)

Introduction to AI Fairness. - Yunfeng Zhang; Rachel K. E. Bellamy; Q. Vera Liao; Moninder Singh (CHI Extended Abstracts, 2021)

AI Explainability 360 Toolkit. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (COMAD/CODS, 2021)

Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. - Shweta Narkar; Yunfeng Zhang; Q. Vera Liao; Dakuo Wang; Justin D. Weisz (IUI, 2021)

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Soya Park; April Yi Wang; Ban Kawas; Q. Vera Liao; David Piorkowski; Marina Danilevsky (IUI, 2021)

Question-Driven eXplainable AI: Re-framing the Technical and Design Spaces of XAI. - Q. Vera Liao (DaSH@KDD, 2021)

How Much Automation Does a Data Scientist Want? - Dakuo Wang; Q. Vera Liao; Yunfeng Zhang; Udayan Khurana; Horst Samulowitz; Soya Park; Michael J. Muller; Lisa Amini (CoRR, 2021)

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. - Ana Lucic; Madhulika Srikumar; Umang Bhatt; Alice Xiang; Ankur Taly; Q. Vera Liao; Maarten de Rijke (CoRR, 2021)

Question-Driven Design Process for Explainable AI User Experiences. - Q. Vera Liao; Milena Pribic; Jaesik Han; Sarah Miller; Daby Sow (CoRR, 2021)

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. - Soumya Ghosh; Q. Vera Liao; Karthikeyan Natesan Ramamurthy; Jirí Navrátil 001; Prasanna Sattigeri; Kush R. Varshney; Yunfeng Zhang (CoRR, 2021)

The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CoRR, 2021)

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences. - Q. Vera Liao; Kush R. Varshney (CoRR, 2021)

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. - Vivian Lai; Chacha Chen; Q. Vera Liao; Alison Smith-Renner; Chenhao Tan (CoRR, 2021)

Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations. - Daricia Wilkinson; Öznur Alkan; Q. Vera Liao; Massimiliano Mattetti; Inge Vejsbjerg; Bart P. Knijnenburg; Elizabeth Daly (ACM Trans. Inf. Syst., 2021)

AI Explainability 360: Impact and Design. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (AAAI, 2022)

Responsible Language Technologies: Foreseeing and Mitigating Harms. - Su Lin Blodgett; Q. Vera Liao; Alexandra Olteanu; Rada Mihalcea; Michael J. Muller; Morgan Klaus Scheuerman; Chenhao Tan; Qian Yang 004 (CHI Extended Abstracts, 2022)

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Elizabeth Anne Watkins; Carina Manger; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2022)

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. - Vivian Lai; Samuel Carton; Rajat Bhatnagar; Q. Vera Liao; Yunfeng Zhang; Chenhao Tan (CHI, 2022)

Uncertainty Quantification 360: A Hands-on Tutorial. - Soumya Ghosh; Q. Vera Liao; Karthikeyan Natesan Ramamurthy; Jirí Navrátil 001; Prasanna Sattigeri; Kush R. Varshney; Yunfeng Zhang (COMAD/CODS, 2022)

Designing for Responsible Trust in AI Systems: A Communication Perspective. - Q. Vera Liao; S. Shyam Sundar (FAccT, 2022)

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI. - Q. Vera Liao; Yunfeng Zhang; Ronny Luss; Finale Doshi-Velez; Amit Dhurandhar (HCOMP, 2022)

Investigating Explainability of Generative AI for Code through Scenario-based Design. - Jiao Sun; Q. Vera Liao; Michael J. Muller; Mayank Agarwal; Stephanie Houde; Kartik Talamadupula; Justin D. Weisz (IUI, 2022)

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. - Ana Lucic; Sheeraz Ahmad; Amanda Furtado Brinhosa; Vera Liao; Himani Agrawal; Umang Bhatt; Krishnaram Kenthapadi; Alice Xiang; Maarten de Rijke; Nicholas Drabowski (CoRR, 2022)

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization. - Mingming Fan 001; Xianyou Yang; Tsz Tung Yu; Vera Q. Liao; Jian Zhao 010 (Proc. ACM Hum. Comput. Interact., 2022)

Special Issue on Conversational Agents for Healthcare and Wellbeing. - Ahmet Baki Kocaballi; Liliana Laranjo; Leigh Clark; Rafal Kocielnik; Robert J. Moore; Q. Vera Liao; Timothy W. Bickmore (ACM Trans. Interact. Intell. Syst., 2022)

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience. - Q. Vera Liao; Hariharan Subramonyam; Jennifer Wang; Jennifer Wortman Vaughan (CHI, 2023)

fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. - Steven Moore; Q. Vera Liao; Hariharan Subramonyam (CHI, 2023)

GenAICHI 2023: Generative AI and HCI at CHI 2023. - Michael J. Muller; Lydia B. Chilton; Anna Kantosalo; Q. Vera Liao; Mary Lou Maher; Charles Patrick Martin; Greg Walsh (CHI Extended Abstracts, 2023)

Human-Computer Interaction and AI: What practitioners need to know to design and build effective AI system from a human perspective. - Daniel M. Russell; Q. Vera Liao; Chinmay Kulkarni 001; Elena L. Glassman; Nikolas Martelaro (CHI Extended Abstracts, 2023)

Human-Centered Responsible Artificial Intelligence: Current & Future Trends. - Mohammad Tahaei; Marios Constantinides; Daniele Quercia; Sean Kennedy; Michael J. Muller; Simone Stumpf; Q. Vera Liao; Ricardo Baeza-Yates; Lora Aroyo; Jess Holbrook; Ewa Luger; Michael Madaio; et al. (CHI Extended Abstracts, 2023)

LLMs and the Infrastructure of CSCW. - Chinmay Kulkarni 001; Tongshuang Wu; Kenneth Holstein; Q. Vera Liao; Min Kyung Lee; Mina Lee 002; Hariharan Subramonyam (CSCW Companion, 2023)

Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory. - Ziang Xiao; Susu Zhang; Vivian Lai; Q. Vera Liao (EMNLP, 2023)

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. - Vivian Lai; Chacha Chen; Alison Smith-Renner; Q. Vera Liao; Chenhao Tan (FAccT, 2023)

Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making. - Snehal Prabhudesai; Leyao Yang; Sumit Asthana; Xun Huan; Q. Vera Liao; Nikola Banovic 001 (IUI, 2023)

Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access. - Ziang Xiao; Q. Vera Liao; Michelle X. Zhou; Tyrone Grandison; Yunyao Li 001 (IUI, 2023)

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. - Ziang Xiao; Xingdi Yuan; Q. Vera Liao; Rania Abdelghani; Pierre-Yves Oudeyer (IUI Companion, 2023)

Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions. - Helena Vasconcelos; Gagan Bansal; Adam Fourney; Q. Vera Liao; Jennifer Wortman Vaughan (CoRR, 2023)

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling. - Haotian Li 001; Yun Wang 012; Q. Vera Liao; Huamin Qu (CoRR, 2023)

Evaluating NLG Evaluation Metrics: A Measurement Theory Perspective. - Ziang Xiao; Susu Zhang; Vivian Lai; Q. Vera Liao (CoRR, 2023)

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap. - Q. Vera Liao; Jennifer Wortman Vaughan (CoRR, 2023)

Rethinking Model Evaluation as Narrowing the Socio-Technical Gap. - Q. Vera Liao; Ziang Xiao (CoRR, 2023)

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. - Valerie Chen; Q. Vera Liao; Jennifer Wortman Vaughan; Gagan Bansal (Proc. ACM Hum. Comput. Interact., 2023)

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders. - Anna Kawakami; Shreya Chowdhary; Shamsi T. Iqbal; Q. Vera Liao; Alexandra Olteanu; Jina Suh; Koustuv Saha (Proc. ACM Hum. Comput. Interact., 2023)

Selective Explanations: Leveraging Human Input to Align Explainable AI. - Vivian Lai; Yiming Zhang 022; Chacha Chen; Q. Vera Liao; Chenhao Tan (Proc. ACM Hum. Comput. Interact., 2023)

ECBD: Evidence-Centered Benchmark Design for NLP. - Yu Lu Liu; Su Lin Blodgett; Jackie C. K. Cheung; Vera Liao; Alexandra Olteanu; Ziang Xiao (ACL (1), 2024)

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CHI, 2024)

Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking. - Nikhil Sharma; Q. Vera Liao; Ziang Xiao (CHI, 2024)

Human-Centered Evaluation and Auditing of Language Models. - Ziang Xiao; Wesley Hanwen Deng; Michelle S. Lam; Motahhare Eslami; Juho Kim 001; Mina Lee 002; Q. Vera Liao (CHI Extended Abstracts, 2024)

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. - Sunnie S. Y. Kim; Q. Vera Liao; Mihaela Vorvoreanu; Stephanie Ballard; Jennifer Wortman Vaughan (FAccT, 2024)

Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking. - Nikhil Sharma; Q. Vera Liao; Ziang Xiao (CoRR, 2024)

UX Matters: The Critical Role of UX in Responsible AI. - Q. Vera Liao; Mihaela Vorvoreanu; Hari Subramonyam; Lauren Wilcox (Interactions, 2024)

Seamful XAI: Operationalizing Seamful Design in Explainable AI. - Upol Ehsan; Q. Vera Liao; Samir Passi; Mark O. Riedl; Hal Daumé III (Proc. ACM Hum. Comput. Interact., 2024)

Canvil: Designerly Adaptation for LLM-Powered User Experiences. - K. J. Kevin Feng; Q. Vera Liao; Ziang Xiao; Jennifer Wortman Vaughan; Amy X. Zhang; David W. McDonald (CHI, 2025)

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies. - Sunnie S. Y. Kim; Jennifer Wortman Vaughan; Q. Vera Liao; Tania Lombrozo; Olga Russakovsky (CHI, 2025)

As Confidence Aligns: Understanding the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making. - Jingshu Li; Yitian Yang; Q. Vera Liao; Junti Zhang; Yi-Chieh Lee (CHI, 2025)

Human-Centered Evaluation and Auditing of Language Models. - Yu Lu Liu; Wesley Hanwen Deng; Michelle S. Lam; Motahhare Eslami; Juho Kim 001; Q. Vera Liao; Wei Xu 004; Jekaterina Novikova; Ziang Xiao (CHI Extended Abstracts, 2025)

'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models. - Angel Hsing-Chi Hwang; Q. Vera Liao; Su Lin Blodgett; Alexandra Olteanu; Adam Trischler (Proc. ACM Hum. Comput. Interact., 2025)

As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making. - Jingshu Li; Yitian Yang; Q. Vera Liao; Junti Zhang; Yi-Chieh Lee (CoRR, 2025)

Generative AI and Creative Work: Narratives, Values, and Impacts. - Baptiste Caramiaux; Kate Crawford 002; Q. Vera Liao; Gonzalo Ramos 001; Jenny Williams (CoRR, 2025)

Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions. - Helena Vasconcelos; Gagan Bansal; Adam Fourney; Q. Vera Liao; Jennifer Wortman Vaughan (ACM Trans. Comput. Hum. Interact., 2025)