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New ontology aims to formalize contradictions in human-robot dialogue

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a foundational ontology called ATFOt, based on Activity Theory, to formally represent and identify contradictions in human-robot interactions. This ontology aims to provide a computational framework for understanding errors, failures, and conflicts in dialogue-based HRI and HAI. The work includes natural language definitions, set-theoretic definitions, and first-order logic formulations of these contradictions, along with principles for guiding human-robot dialogue. AI

IMPACT Provides a formal framework for understanding and resolving errors in human-robot communication.

RANK_REASON Academic paper detailing a new ontology for HRI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ontology aims to formalize contradictions in human-robot dialogue

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Academic paper detailing a new ontology for HRI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Maitreyee Tewari, Michele Persiani ·

    Towards a Foundational Ontology for Identifying and Resolving Contradictions in Dialogue-based Human-Robot Interactions

    arXiv:2609.02364v1 Announce Type: cross Abstract: Existing Human-Robot Interaction (HRI) literature has focused on identifying and structuring errors, failures, conflicts, and knowledge issues (called in this work as contradictions) in domain-specific dialogue-based interactions.…

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