Vol. 8 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing
Full Papers
Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand Therapy
PDFPrivacy-Preserving Face Redaction Using Crowdsourcing
PDFCrowDEA: Multi-View Idea Prioritization with Crowds
PDFFast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content
PDFImpact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining
PDFHow Context Influences Cross-Device Task Acceptance in Crowd Work
PDFSoliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
PDFEnhancing Collective Estimates by Aggregating Cardinal and Ordinal Inputs
PDFUnderstanding the Effects of Explanation Types and User Motivations on Recommender System Use
PDFPredicting Crowdworkers’ Performance as Human-Sensors for Robot Navigation
PDFEffective Operator Summaries Extraction
PDFThe Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
PDFMotivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training
PDFVerifying Extended Entity Relationship Diagrams with Open Tasks
PDFAnalyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms
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Short Papers
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
PDFA Case for Soft Loss Functions
PDFSchema and Metadata Guide the Collective Generation of Relevant and Diverse Work
PDFModeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
PDFDoes Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study
PDFThe Challenges of Crowd Workers in Rural and Urban America
PDFBatch Prioritization of Data Labeling Tasks for Training Classifiers
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