Qingzi Vera Liao

Orcid: 0000-0003-4543-7196

Affiliations:
  • Microsoft Research, Canada


According to our database1, Qingzi Vera Liao authored at least 101 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking.
CoRR, 2024

Canvil: Designerly Adaptation for LLM-Powered User Experiences.
CoRR, 2024

2023
Selective Explanations: Leveraging Human Input to Align Explainable AI.
Proc. ACM Hum. Comput. Interact., 2023

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders.
Proc. ACM Hum. Comput. Interact., 2023

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
Proc. ACM Hum. Comput. Interact., 2023

Rethinking Model Evaluation as Narrowing the Socio-Technical Gap.
CoRR, 2023

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap.
CoRR, 2023

Evaluating NLG Evaluation Metrics: A Measurement Theory Perspective.
CoRR, 2023

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling.
CoRR, 2023

Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions.
CoRR, 2023

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LLMs and the Infrastructure of CSCW.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Human-Centered Responsible Artificial Intelligence: Current & Future Trends.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Human-Computer Interaction and AI: What practitioners need to know to design and build effective AI system from a human perspective.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

GenAICHI 2023: Generative AI and HCI at CHI 2023.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Special Issue on Conversational Agents for Healthcare and Wellbeing.
ACM Trans. Interact. Intell. Syst., 2022

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization.
Proc. ACM Hum. Comput. Interact., 2022

Seamful XAI: Operationalizing Seamful Design in Explainable AI.
CoRR, 2022

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users.
CoRR, 2022

Investigating Explainability of Generative AI for Code through Scenario-based Design.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Designing for Responsible Trust in AI Systems: A Communication Perspective.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Uncertainty Quantification 360: A Hands-on Tutorial.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Responsible Language Technologies: Foreseeing and Mitigating Harms.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022


2021
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations.
ACM Trans. Inf. Syst., 2021

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies.
CoRR, 2021

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences.
CoRR, 2021

The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations.
CoRR, 2021

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI.
CoRR, 2021

Question-Driven Design Process for Explainable AI User Experiences.
CoRR, 2021

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.
CoRR, 2021

How Much Automation Does a Data Scientist Want?
CoRR, 2021

Question-Driven eXplainable AI: Re-framing the Technical and Design Spaces of XAI.
Proceedings of the 3rd Workshop on Data Science with Human in the Loop, 2021

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021


Introduction to AI Fairness.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Operationalizing Human-Centered Perspectives in Explainable AI.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Expanding Explainability: Towards Social Transparency in AI systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Doc2Bot: Document grounded Bot Framework.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions.
ACM Trans. Comput. Hum. Interact., 2020

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers.
Proc. ACM Hum. Comput. Interact., 2020

Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes.
Proc. ACM Hum. Comput. Interact., 2020

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res., 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020

Measuring Social Biases of Crowd Workers using Counterfactual Queries.
CoRR, 2020

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience.
CoRR, 2020

Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation.
Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

user2agent: 2nd Workshop on User-Aware Conversational Agents.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Business (mis)Use Cases of Generative AI.
Proceedings of the Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), 2020

Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making.
Proceedings of the FAT* '20: Conference on Fairness, 2020


Agent Assist through Conversation Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Introduction to Explainable AI.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Questioning the AI: Informing Design Practices for Explainable AI User Experiences.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Conversational Agents for Health and Wellbeing.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Doc2Dial: A Framework for Dialogue Composition Grounded in Documents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enabling Value Sensitive AI Systems through Participatory Design Fictions.
CoRR, 2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019

Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys.
CoRR, 2019

User-aware conversational agents.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Explaining models: an empirical study of how explanations impact fairness judgment.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Human-Agent Communication: Connecting Research and Development in HCI and AI.
Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Bootstrapping Conversational Agents with Weak Supervision.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
FarmChat: A Conversational Agent to Answer Farmer Queries.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

What's in it for me? Self-serving versus other-oriented framing in messages advocating use of prosocial peer-to-peer services.
Int. J. Hum. Comput. Stud., 2018

Towards an Optimal Dialog Strategy for Information Retrieval Using Both Open- and Close-ended Questions.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Face Value?
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

All Work and No Play?
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
A Measure for Dialog Complexity and its Application in Streamlining Service Operations.
CoRR, 2017

Leveraging Conversational Systems to Assists New Hires During Onboarding.
Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017

2016
Improvising Harmony: Opportunities for Technologies to Support Crowd Orchestration.
Proceedings of the 19th International Conference on Supporting Group Work, Sanibel Island, FL, USA, November 13, 2016

#Snowden: Understanding Biases Introduced by Behavioral Differences of Opinion Groups on Social Media.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

What Can You Do?: Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees.
Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS '16, Brisbane, QLD, Australia, June 04, 2016

2015
It Is All About Perspective: An Exploration of Mitigating Selective Exposure with Aspect Indicators.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
Age differences in credibility judgments of online health information.
ACM Trans. Comput. Hum. Interact., 2014

Can you hear me now?: mitigating the echo chamber effect by source position indicators.
Proceedings of the Computer Supported Cooperative Work, 2014

Expert voices in echo chambers: effects of source expertise indicators on exposure to diverse opinions.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users.
Proceedings of the 2012 International Conference on Privacy, 2012

Information and Attitude Diffusion in Networks.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Age differences in credibility judgment of online health information.
Proceedings of the ACM International Health Informatics Symposium, 2012

Understanding experts' and novices' expertise judgment of twitter users.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Crowdsourcing Quality Control of Online Information: A Quality-Based Cascade Model.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

The Impact of User Reviews on Older and Younger Adults' Attitude towards Online Medication Information.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Effects of Aging and Individual Differences on Credibility Judgment of Online Health Information.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

How user reviews influence older and younger adults' credibility judgments of online health information.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
Effects of cognitive aging on credibility assessment of online health information.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010


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