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Paper#Human-Robot Interaction, Explainable AI, Theory of Mind🔬 ResearchAnalyzed: Jan 3, 2026 18:45

ToM as XAI for Human-Robot Interaction

Published:Dec 29, 2025 14:09
1 min read
ArXiv

Analysis

This paper proposes a novel perspective on Theory of Mind (ToM) in Human-Robot Interaction (HRI) by framing it as a form of Explainable AI (XAI). It highlights the importance of user-centered explanations and addresses a critical gap in current ToM applications, which often lack alignment between explanations and the robot's internal reasoning. The integration of ToM within XAI frameworks is presented as a way to prioritize user needs and improve the interpretability and predictability of robot actions.
Reference

“The paper argues for a shift in perspective, prioritizing the user's informational needs and perspective by incorporating ToM within XAI.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 07:21

MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks

Published:Nov 27, 2025 12:58
1 min read
ArXiv

Analysis

This article likely discusses a research project focused on developing Explainable AI (XAI) systems for conversational applications. The use of "composable building blocks" suggests a modular approach, aiming for transparency and control in how these AI systems operate and explain their reasoning. The focus on conversational XAI indicates an interest in making AI explanations more accessible and understandable within a dialogue context. The source, ArXiv, confirms this is a research paper.
Reference

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PermalinkArXiv