{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T14:52:55Z","timestamp":1785336775312,"version":"3.55.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:p>We present a novel framework designed to extend model reconciliation approaches, commonly used in human-aware planning, for enhanced human-AI interaction. By adopting a structured argumentation-based dialogue paradigm, our framework enables dialectical reconciliation to address knowledge discrepancies between an explainer (AI agent) and an explainee (human user), where the goal is for the explainee to understand the explainer's decision. We formally describe the operational semantics of our proposed framework, providing theoretical guarantees. We then evaluate the framework's efficacy ``in the wild'' via computational and human-subject experiments. Our findings suggest that our framework offers a promising direction for fostering effective human-AI interactions in domains where explainability is important.<\/jats:p>","DOI":"10.24963\/kr.2024\/73","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:30:28Z","timestamp":1729924228000},"page":"777-787","source":"Crossref","is-referenced-by-count":1,"title":["Dialectical Reconciliation via Structured Argumentative Dialogues"],"prefix":"10.24963","author":[{"given":"Stylianos Loukas","family":"Vasileiou","sequence":"first","affiliation":[{"name":"Washington University in St Louis"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashwin","family":"Kumar","sequence":"additional","affiliation":[{"name":"Washington University in St Louis"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Yeoh","sequence":"additional","affiliation":[{"name":"Washington University in St. Louis"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tran Cao","family":"Son","sequence":"additional","affiliation":[{"name":"New Mexico State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Toni","sequence":"additional","affiliation":[{"name":"Imperial College London"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}","theme":"Artificial Intelligence","location":"Hanoi, Vietnam","acronym":"KR-2024","number":"21","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Academic College of Tel-Aviv","European Association for Artificial Intelligence","National Science Foundation"],"start":{"date-parts":[[2024,11,1]]},"end":{"date-parts":[[2024,11,8]]}},"container-title":["Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:30:44Z","timestamp":1729924244000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2024\/73"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2024\/73","relation":{},"subject":[],"published":{"date-parts":[[2024,11]]}}}