Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations

Understand

There is a growing interest within the AI research community to develop autonomous systems capable of explaining their behavior to users.

• One aspect of the explanation generation problem that has yet to receive much attention is the task of explaining plans to users whose level of expertise differ from that of the explainer.
• We propose an approach for addressing this problem by representing the user's model as an abstraction of the domain model that the planner uses.
• We present algorithms for generating minimal explanations in cases where this abstract human model is not known.