Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach

The core message of this work is to develop an explainable goal recognition (GR) model, called XGR, that generates human-understandable explanations for predicted goals by leveraging the Weight of Evidence (WoE) concept and insights from human-agent studies on how people explain others' behavior.