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Q.Vera Liao
Q.Vera Liao
Microsoft Research
Geverifieerd e-mailadres voor microsoft.com - Homepage
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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
7142020
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
6362020
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
4222019
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
3502019
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
3212021
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
2852019
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
2582019
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
2242021
Human-centered explainable ai (xai): From algorithms to user experiences
QV Liao, KR Varshney
arXiv preprint arXiv:2110.10790, 2021
1762021
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
1612013
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
1562021
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
1512018
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
144*2021
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
144*2020
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
1412018
Investigating explainability of generative AI for code through scenario-based design
J Sun, QV Liao, M Muller, M Agarwal, S Houde, K Talamadupula, ...
27th International Conference on Intelligent User Interfaces, 212-228, 2022
1272022
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
1262018
What can you do? Studying social-agent orientation and agent proactive interactions with an agent for employees
QV Liao, M Davis, W Geyer, M Muller, NS Shami
Proceedings of the 2016 acm conference on designing interactive systems, 264-275, 2016
1232016
Can you hear me now? Mitigating the echo chamber effect by source position indicators
QV Liao, WT Fu
Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014
1142014
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
102*2024
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Artikelen 1–20