厘清人机交互中不确定性、模糊性与歧义性的概念差异，提升研究可比性。
Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters
- 从词典和人机交互场景出发，系统辨析三者的定义与关系。
- 通过实例说明三者在实际交互中的表现差异。
- 为新方法设计与现有评估提供统一概念框架，适合理论构建者参考。
不确定性、模糊性和歧义性是人机交互（HRI）中密切相关且常被混淆的概念。早期研究对这些概念的定义存在矛盾，术语使用不一致，导致实证研究难以比较，阻碍了理论积累。为此，本文提出一个统一的概念基础，以明确这三类挑战的定义、区别及其相互关系。首先，考察三个术语在词典中的含义；其次，在人机交互语境下分析其本质差异与关联；再通过具体案例加以说明；最后，展示该概念框架如何促进新方法的设计与现有方法的评估。该工作旨在推动HRI领域概念清晰化与研究一致性。
原文摘要 · Abstract (English)
Uncertainty, vagueness, and ambiguity are closely related and often confused concepts in human-robot interaction (HRI). In earlier studies, these concepts have been defined in contradictory ways and described using inconsistent terminology. This conceptual confusion and lack of terminological consistency undermine empirical comparability, thereby slowing the accumulation of theory. Consequently, consistent concepts that clarify these challenges, including their definitions, distinctions, and interrelationships, are needed in HRI. To address this lack of clarity, this paper proposes a consistent conceptual foundation for the challenges of uncertainty, vagueness, and ambiguity in HRI. First, we examine the meanings of these three terms in dictionaries. We then analyze the nature of their distinctions and interrelationships within the context of HRI. We further illustrate these characteristics through examples. Finally, we demonstrate how this consistent conceptual foundation facilitates the design of novel methods and the evaluation of existing methodologies for these phenomena.
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