Q. Vera Liao

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 112

Top Venues

CoRR

CHI Extended Abstracts

CHI

IUI

Publications

Yu Lu Liu, Su Lin Blodgett, Jackie Chi Kit Cheung, Q. Vera Liao, Alexandra Olteanu, Ziang Xiao
ECBD: Evidence-Centered Benchmark Design for NLP. CoRR (2024)
Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Q. Vera Liao
Human-Centered Evaluation and Auditing of Language Models. CHI Extended Abstracts (2024)
K. J. Kevin Feng, Q. Vera Liao, Ziang Xiao, Jennifer Wortman Vaughan, Amy X. Zhang, David W. McDonald
Canvil: Designerly Adaptation for LLM-Powered User Experiences. CoRR (2024)
Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. CHI (2024)
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. FAccT (2024)
Nikhil Sharma, Q. Vera Liao, Ziang Xiao
Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking. CoRR (2024)
Nikhil Sharma, Q. Vera Liao, Ziang Xiao
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking. CHI (2024)
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. CoRR (2024)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. IUI Companion (2023)
Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. FAccT (2023)
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions. CoRR (2023)
Ziang Xiao, Q. Vera Liao, Michelle X. Zhou, Tyrone Grandison, Yunyao Li
Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access. CoRR (2023)
Daniel M. Russell, Q. Vera Liao, Chinmay Kulkarni, Elena L. Glassman, Nikolas Martelaro
Human-Computer Interaction and AI: What practitioners need to know to design and build effective AI system from a human perspective. CHI Extended Abstracts (2023)
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, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu
Human-Centered Responsible Artificial Intelligence: Current & Future Trends. CoRR (2023)
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. CoRR (2023)
Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience. CoRR (2023)
Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao
Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory. EMNLP (2023)
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, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu
Human-Centered Responsible Artificial Intelligence: Current & Future Trends. CHI Extended Abstracts (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Q. Vera Liao, Alexandra Olteanu, Jina Suh, Koustuv Saha
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Snehal Prabhudesai, Leyao Yang, Sumit Asthana, Xun Huan, Q. Vera Liao, Nikola Banovic
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making. IUI (2023)
Q. Vera Liao, Ziang Xiao
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap. CoRR (2023)
Ziang Xiao, Q. Vera Liao, Michelle X. Zhou, Tyrone Grandison, Yunyao Li
Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access. IUI (2023)
Steven Moore, Q. Vera Liao, Hariharan Subramonyam
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. CHI (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR (2023)
Michael J. Muller, Lydia B. Chilton, Anna Kantosalo, Q. Vera Liao, Mary Lou Maher, Charles Patrick Martin, Greg Walsh
GenAICHI 2023: Generative AI and HCI at CHI 2023. CHI Extended Abstracts (2023)
Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee, Hariharan Subramonyam
LLMs and the Infrastructure of CSCW. CSCW Companion (2023)
Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao
Evaluating NLG Evaluation Metrics: A Measurement Theory Perspective. CoRR (2023)
Q. Vera Liao, Jennifer Wortman Vaughan
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap. CoRR (2023)
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. CoRR (2023)
Haotian Li, Yun Wang, Q. Vera Liao, Huamin Qu
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling. CoRR (2023)
Steven Moore, Q. Vera Liao, Hariharan Subramonyam
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. CoRR (2023)
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Q. Vera Liao, Alexandra Olteanu, Jina Suh, Koustuv Saha
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders. CoRR (2023)
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience. CHI (2023)
Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
Investigating Explainability of Generative AI for Code through Scenario-based Design. IUI (2022)
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
Uncertainty Quantification 360: A Hands-on Tutorial. COMAD/CODS (2022)
Ahmet Baki Kocaballi, Liliana Laranjo, Leigh Clark, Rafal Kocielnik, Robert J. Moore, Q. Vera Liao, Timothy W. Bickmore
Special Issue on Conversational Agents for Healthcare and Wellbeing. ACM Trans. Interact. Intell. Syst. 12 (2) (2022)
Q. Vera Liao, S. Shyam Sundar
Designing for Responsible Trust in AI Systems: A Communication Perspective. CoRR (2022)
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI. CoRR (2022)
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts (2022)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CoRR (2022)
Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
Investigating Explainability of Generative AI for Code through Scenario-based Design. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CHI (2022)
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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: Impact and Design. AAAI (2022)
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI. HCOMP (2022)
Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang
Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts (2022)
Q. Vera Liao, S. Shyam Sundar
Designing for Responsible Trust in AI Systems: A Communication Perspective. FAccT (2022)
Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
Expanding Explainability: Towards Social Transparency in AI systems. CHI (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. CoRR (2021)
Q. Vera Liao, Milena Pribic, Jaesik Han, Sarah Miller, Daby Sow
Question-Driven Design Process for Explainable AI User Experiences. CoRR (2021)
Q. Vera Liao, Kush R. Varshney
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences. CoRR (2021)
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. CoRR (2021)
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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360 Toolkit. COMAD/CODS (2021)
Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart P. Knijnenburg, Elizabeth Daly
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations. ACM Trans. Inf. Syst. 39 (4) (2021)
Q. Vera Liao
Question-Driven eXplainable AI: Re-framing the Technical and Design Spaces of XAI. DaSH@KDD (2021)
Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR (2021)
Q. Vera Liao, Moninder Singh, Yunfeng Zhang, Rachel K. E. Bellamy
Introduction to Explainable AI. CHI Extended Abstracts (2021)
Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
Expanding Explainability: Towards Social Transparency in AI systems. CoRR (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. IUI (2021)
Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. CoRR (2021)
Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. IUI (2021)
Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. CoRR (2021)
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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: Impact and Design. CoRR (2021)
Yunfeng Zhang, Rachel K. E. Bellamy, Q. Vera Liao, Moninder Singh
Introduction to AI Fairness. CHI Extended Abstracts (2021)
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Martina Mara, Marc Streit, Sandra Wachter, Andreas Riener, Mark O. Riedl
Operationalizing Human-Centered Perspectives in Explainable AI. CHI Extended Abstracts (2021)
Kshitij P. Fadnis, Pankaj Dhoolia, Li Zhu, Q. Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis A. Lastras
Doc2Bot: Document grounded Bot Framework. AAAI (2021)
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, Madhulika Srikumar, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES (2021)
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. CoRR (2021)
Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini
How Much Automation Does a Data Scientist Want? CoRR (2021)
Michal Shmueli-Scheuer, Ron Artstein, Yasaman Khazaeni, Hao Fang, Q. Vera Liao
user2agent: 2nd Workshop on User-Aware Conversational Agents. IUI Companion (2020)
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, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR (2020)
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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21 (2020)
Q. Vera Liao, Daniel M. Gruen, Sarah Miller
Questioning the AI: Informing Design Practices for Explainable AI User Experiences. CHI (2020)
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation. CoRR (2020)
Yunfeng Zhang, Rachel K. E. Bellamy, Moninder Singh, Q. Vera Liao
Introduction to AI Fairness. CHI Extended Abstracts (2020)
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation. DaSH@KDD (2020)
Ahmet Baki Kocaballi, Juan C. Quiroz, Liliana Laranjo, Dana Rezazadegan, Rafal Kocielnik, Leigh Clark, Q. Vera Liao, Sun Young Park, Robert J. Moore, Adam Miner
Conversational Agents for Health and Wellbeing. CHI Extended Abstracts (2020)
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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI explainability 360: hands-on tutorial. FAT* (2020)
Song Feng, Kshitij P. Fadnis, Q. Vera Liao, Luis A. Lastras
Doc2Dial: A Framework for Dialogue Composition Grounded in Documents. AAAI (2020)
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making. CoRR (2020)
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making. FAT* (2020)
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller
Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers. Proc. ACM Hum. Comput. Interact. 4 (CSCW3) (2020)
Ziang Xiao, Michelle X. Zhou, Q. Vera Liao, Gloria Mark, Chang Yan Chi, Wenxi Chen, Huahai Yang
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions. ACM Trans. Comput. Hum. Interact. 27 (3) (2020)
Q. Vera Liao, Daniel M. Gruen, Sarah Miller
Questioning the AI: Informing Design Practices for Explainable AI User Experiences. CoRR (2020)
Q. Vera Liao, Moninder Singh, Yunfeng Zhang, Rachel K. E. Bellamy
Introduction to Explainable AI. CHI Extended Abstracts (2020)
Kshitij P. Fadnis, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass, Shai Erera, R. Chulaka Gunasekara, Danish Contractor, Siva Sankalp Patel, Q. Vera Liao, Sachindra Joshi, Luis A. Lastras, David Konopnicki
Agent Assist through Conversation Analysis. EMNLP (Demos) (2020)
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience. CoRR (2020)
Zahra Ashktorab, Q. Vera Liao, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell
Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Measuring Social Biases of Crowd Workers using Counterfactual Queries. CoRR (2020)
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
Bootstrapping Conversational Agents with Weak Supervision. AAAI (2019)
Q. Vera Liao, Michal Shmueli-Scheuer, Tsung-Hsien (Shawn) Wen, Zhou Yu
User-aware conversational agents. IUI Companion (2019)
Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Casey Dugan
Explaining models: an empirical study of how explanations impact fairness judgment. IUI (2019)
Q. Vera Liao, Michael J. Muller
Enabling Value Sensitive AI Systems through Participatory Design Fictions. CoRR (2019)
Zahra Ashktorab, Mohit Jain, Q. Vera Liao, Justin D. Weisz
Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. CHI (2019)
Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Casey Dugan
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment. CoRR (2019)
Q. Vera Liao, Yi-Chia Wang, Timothy W. Bickmore, Pascale Fung, Jonathan Grudin, Zhou Yu, Michelle X. Zhou
Human-Agent Communication: Connecting Research and Development in HCI and AI. CSCW Companion (2019)
Michael J. Muller, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q. Vera Liao, Casey Dugan, Thomas Erickson
How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation. CHI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Q. Vera Liao