We present DR-HAI -- a novel argumentation-based framework designed to extend model reconciliation approaches, commonly used in human-aware planning, for enhanced human-AI interaction. By adopting an argumentation-based dialogue paradigm, DR-HAI enables interactive reconciliation to address knowledge discrepancies between an explainer and an explainee. We formally describe the operational semantics of DR-HAI, provide theoretical guarantees, and empirically evaluate its efficacy. Our findings suggest that DR-HAI offers a promising direction for fostering effective human-AI interactions.

翻译：我们提出DR-HAI——一个新颖的基于论证的框架，旨在扩展人类感知规划中常用的模型调和方案，以增强人机交互。通过采用基于论证的对话范式，DR-HAI能够实现交互式调和，解决解释者与接收者之间的知识差异。我们正式描述了DR-HAI的操作语义，提供了理论保障，并实证评估了其有效性。研究结果表明，DR-HAI为促进高效的人机交互提供了富有前景的方向。