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CHI Conference on Human Factors in Computing Systems

Source type: conference
Fully OA: No
DOAJ: No
OpenAlex ID: S4363607743
What is AI Literacy? Competencies and Design Considerations
2020 · Duri Long, Brian Magerko · CHI Conference on Human Factors in Computing Systems · 3,025
Guidelines for Human-AI Interaction
2019 · Saleema Amershi, Dan Weld, et al. · CHI Conference on Human Factors in Computing Systems · 2,328
"Like Having a Really Bad PA"
2016 · Ewa Luger, Abigail Sellen · CHI Conference on Human Factors in Computing Systems · 1,142
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
2023 · J.D. Zamfirescu-Pereira, Richmond Y. Wong, et al. · CHI Conference on Human Factors in Computing Systems · 902
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Designing Theory-Driven User-Centric Explainable AI
2019 · Danding Wang, Qian Yang, et al. · CHI Conference on Human Factors in Computing Systems · 863
The Dark (Patterns) Side of UX Design
2018 · Colin M. Gray, Yubo Kou, et al. · CHI Conference on Human Factors in Computing Systems · 850
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Improving Fairness in Machine Learning Systems
2019 · Kenneth Holstein, Jennifer Wortman Vaughan, et al. · CHI Conference on Human Factors in Computing Systems · 774
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
2020 · Q. Vera Liao, Daniel Gruen, et al. · CHI Conference on Human Factors in Computing Systems · 759
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Trends and Trajectories for Explainable, Accountable and Intelligible Systems
2018 · Ashraf Abdul, Jo Vermeulen, et al. · CHI Conference on Human Factors in Computing Systems · 738
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
2021 · Nithya Sambasivan, Shivani Kapania, et al. · CHI Conference on Human Factors in Computing Systems · 733
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
2021 · Gagan Bansal, Tongshuang Wu, et al. · CHI Conference on Human Factors in Computing Systems · 719
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What is Mixed Reality?
2019 · Maximilian Speicher, Brian D. Hall, et al. · CHI Conference on Human Factors in Computing Systems · 702
Voice Interfaces in Everyday Life
2018 · Martin Porcheron, Joel E. Fischer, et al. · CHI Conference on Human Factors in Computing Systems · 699
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
2016 · Munmun De Choudhury, Emre Kiciman, et al. · CHI Conference on Human Factors in Computing Systems · 683
'It's Reducing a Human Being to a Percentage'
2018 · Reuben Binns, Max Van Kleek, et al. · CHI Conference on Human Factors in Computing Systems · 661
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Manipulating and Measuring Model Interpretability
2021 · Forough Poursabzi-Sangdeh, Daniel G Goldstein, et al. · CHI Conference on Human Factors in Computing Systems · 657
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Local Standards for Sample Size at CHI
2016 · Kelly Caine · CHI Conference on Human Factors in Computing Systems · 630
How Much Information?
2016 · René F. Kizilcec · CHI Conference on Human Factors in Computing Systems · 610
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
2022 · Vivian Liu, Lydia B Chilton · CHI Conference on Human Factors in Computing Systems · 603
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Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design
2020 · Qian Yang, Aaron Steinfeld, et al. · CHI Conference on Human Factors in Computing Systems · 602
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A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
2020 · Emma Beede, Elizabeth Baylor, et al. · CHI Conference on Human Factors in Computing Systems · 575
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A New Chatbot for Customer Service on Social Media
2017 · Anbang Xu, Zhe Liu, et al. · CHI Conference on Human Factors in Computing Systems · 550
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
2020 · Harmanpreet Kaur, Harsha Nori, et al. · CHI Conference on Human Factors in Computing Systems · 532
Understanding the Effect of Accuracy on Trust in Machine Learning Models
2019 · Ming Yin, Jennifer Wortman Vaughan, et al. · CHI Conference on Human Factors in Computing Systems · 506
Expanding Explainability: Towards Social Transparency in AI systems
2021 · Upol Ehsan, Q. Vera Liao, et al. · CHI Conference on Human Factors in Computing Systems · 505
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Works count: 9,540
Citation count: 323,700
H-index: 183
I10-index: 6,105
2yr mean citedness: 9.217
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