Vol. 7 (2019): Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing
Technical Papers
Fair Work: Crowd Work Minimum Wage with One Line of Code
PDFNot Everyone Writes Good Examples but Good Examples Can Come from Anywhere
PDFWho Is in Your Top Three? Optimizing Learning in Elections with Many Candidates
PDFInterpretable Image Recognition with Hierarchical Prototypes
PDFCrowdsourced PAC Learning under Classification Noise
PDFTesting Stylistic Interventions to Reduce Emotional Impact of Content Moderation Workers
PDFHuman Evaluation of Models Built for Interpretability
PDFLearning to Predict Population-Level Label Distributions
PDFProgression in a Language Annotation Game with a Purpose
PDFSecond Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition
PDFThe Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems
PDFHow Do We Talk about Other People? Group (Un)Fairness in Natural Language Image Descriptions
PDFAI-Based Request Augmentation to Increase Crowdsourcing Participation
PDFWhat You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
PDFPlatform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks
PDFUnderstanding the Impact of Text Highlighting in Crowdsourcing Tasks
PDFCan You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval
PDFGoing against the (Appropriate) Flow: A Contextual Integrity Approach to Privacy Policy Analysis
PDFStudying the “Wisdom of Crowds” at Scale
PDFA Hybrid Approach to Identifying Unknown Unknowns of Predictive Models
PDFGamification of Loop-Invariant Discovery from Code
PDFBeyond Accuracy: The Role of Mental Models in Human-AI Team Performance
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