AI Research
Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents
Mapping the mechanics of human-AI communication failures across nine interdisciplinary research fields.
Detection of misunderstanding is an urgent problem to solve because communication has moved away from real-time, in-person interaction and is increasingly handled by AI-mediated channels. This shift cuts communicators off from the resources repair depends on faster than new means...
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ArXiv CS.AI
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ArXiv CS.AI
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This research bridges the gap between fragmented academic fields to create a functional framework for how AI agents detect and resolve communication breakdowns. By mapping misunderstanding as a tiered mechanical process, it provides a crucial foundation for building more reliable, human-centric AI interactions.
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