Institution of Artificial Intelligence and Robotics

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Over the years, the task of AI-assisted data annotation has seen remarkable advancements. However, a specific type of annotation task, the qualitative coding performed during thematic analysis, has characteristics that make effective human-AI collaboration difficult. Informed by a formative study, we designed PaTAT, a…