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Q.Vera Liao
Q.Vera Liao
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Questioning the AI: informing design practices for explainable AI user experiences
QV Liao, D Gruen, S Miller
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
8902020
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
Y Zhang, QV Liao, RKE Bellamy
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
7952020
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
5022019
Expanding explainability: Towards social transparency in ai systems
U Ehsan, QV Liao, M Muller, MO Riedl, JD Weisz
Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021
4282021
Explaining models: an empirical study of how explanations impact fairness judgment
J Dodge, QV Liao, Y Zhang, RKE Bellamy, C Dugan
Proceedings of the 24th international conference on intelligent user …, 2019
3982019
How data science workers work with data: Discovery, capture, curation, design, creation
M Muller, I Lange, D Wang, D Piorkowski, J Tsay, QV Liao, C Dugan, ...
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
3222019
Resilient chatbots: Repair strategy preferences for conversational breakdowns
Z Ashktorab, M Jain, QV Liao, JD Weisz
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
2992019
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021
2752021
Human-centered explainable ai (xai): From algorithms to user experiences
QV Liao, KR Varshney
arXiv preprint arXiv:2110.10790, 2021
2412021
Towards a science of human-ai decision making: a survey of empirical studies
V Lai, C Chen, QV Liao, A Smith-Renner, C Tan
arXiv preprint arXiv:2112.11471, 2021
1962021
Investigating explainability of generative AI for code through scenario-based design
J Sun, QV Liao, M Muller, M Agarwal, S Houde, K Talamadupula, ...
Proceedings of the 27th International Conference on Intelligent User …, 2022
1782022
Explainable active learning (xal) toward ai explanations as interfaces for machine teachers
B Ghai, QV Liao, Y Zhang, R Bellamy, K Mueller
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW3), 1-28, 2021
175*2021
Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information
QV Liao, WT Fu
Proceedings of the SIGCHI conference on human factors in computing systems …, 2013
1692013
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions
Z Xiao, MX Zhou, QV Liao, G Mark, C Chi, W Chen, H Yang
ACM Transactions on Computer-Human Interaction (TOCHI) 27 (3), 1-37, 2020
164*2020
Face Value? Exploring the effects of embodiment for a group facilitation agent
A Shamekhi, QV Liao, D Wang, RKE Bellamy, T Erickson
Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018
1632018
FarmChat: a conversational agent to answer farmer queries
M Jain, P Kumar, I Bhansali, QV Liao, K Truong, S Patel
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
1582018
All work and no play? Conversations with a Question-and-Answer Chatbot in the Wild
QV Liao, M Mas-ud Hussain, P Chandar, M Davis, Y Khazaeni, ...
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
1572018
Supporting qualitative analysis with large language models: Combining codebook with GPT-3 for deductive coding
Z Xiao, X Yuan, QV Liao, R Abdelghani, PY Oudeyer
Companion proceedings of the 28th international conference on intelligent …, 2023
1492023
Operationalizing human-centered perspectives in explainable AI
U Ehsan, P Wintersberger, QV Liao, M Mara, M Streit, S Wachter, ...
Extended abstracts of the 2021 CHI conference on human factors in computing …, 2021
1362021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
U Ehsan, S Passi, QV Liao, L Chan, IH Lee, M Muller, MO Riedl
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-32, 2024
135*2024
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