ARTFEED — Contemporary Art Intelligence

Research Paper Proposes Conceptual Framework for Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction

ai-technology · 2026-04-20

A research paper published on arXiv addresses conceptual confusion surrounding uncertainty, vagueness, and ambiguity in human-robot interaction. The study identifies contradictory definitions and inconsistent terminology in earlier HRI research, which undermines empirical comparability and slows theoretical accumulation. To resolve this lack of clarity, the paper proposes a consistent conceptual foundation for these three challenges. The authors first examine dictionary meanings of the terms, then analyze their distinctions and interrelationships within HRI contexts. Examples are provided to illustrate these characteristics. The work demonstrates how conceptual clarity can advance the field. The paper was announced as arXiv:2604.15339v1 with a cross-type designation.

Key facts

  • The paper addresses uncertainty, vagueness, and ambiguity in human-robot interaction
  • Earlier studies have defined these concepts in contradictory ways
  • Inconsistent terminology undermines empirical comparability in HRI research
  • Conceptual confusion slows the accumulation of theory
  • The paper proposes a consistent conceptual foundation for these challenges
  • Dictionary meanings of the three terms are examined
  • Distinctions and interrelationships are analyzed within HRI contexts
  • Examples illustrate the characteristics of uncertainty, vagueness, and ambiguity

Entities

Institutions

  • arXiv

Sources