lightbulbPractical problemLabel Schema Design and Crowdsourced Feedback Optimization
Machine learning practitioners struggle to create high-quality label sets, affecting model performance.Data Annotation, Model Debugging, and Data Work / Label Schema Design and Crowdsourced Feedback Optimization
Machine learning practitioners struggle to create high-quality label sets, affecting model performance.
Similar questions
lightbulbPractical problemLabel Schema Design and Crowdsourced Feedback Optimization
User feedback tasks are highly disruptive, with low engagement and inauthentic feedback.lightbulbPractical problemLabel Schema Design and Crowdsourced Feedback Optimization
UI designers face low efficiency and high costs when exploring large numbers of design options.Related papers
IUI 2024
DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback
Jeongeon Park, Eun-Young Ko, Yeon Su Park
CHI 2023
CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks into Everyday Internet Surfing
Saskia Haug, Ivo Benke, Daniel Fischer
CHI 2021
Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming
Mingyuan Zhong, Gang Li, Yang Li