人机协作需求分类学
A Taxonomy of Human-Robot Teamwork Requirements
浏览论文内容
中文总结 AI 辅助
该研究针对人机协作需求分散的问题，通过分析多来源文献等构建语料库，开发两级分层分类学，经专家评估与独立语料库验证，为统一人机协作需求框架提供了分类学支撑。
中文摘要 AI 辅助
自主系统正越来越多地部署在安全与任务关键领域，在这些领域中人类与机器人必须组成团队以完成复杂任务。现有人机协作需求分散在不同来源中，缺乏统一框架来应对人机协作任务的复杂性。为填补这一空白，我们通过分析学术与工业文献、标准及监管指南，提出人机协作（Human-Robot Teamwork, HRT）需求分类学。我们从14个跨领域来源中提取了包含361项需求的构建语料库，经迭代分类与细化，开发出包含6个高层类别和21个低层子类别的两级分层分类学，涵盖信息提供、关系控制、决策支持、安全机制、性能监测及基础系统能力。我们通过5名领域专家的评估，以及对来自6个人机协作领域、19个来源的448项需求组成的独立语料库的效用演示，验证了该分类学的有效性。
英文摘要
Autonomous systems are increasingly deployed in safety- and mission-critical domains where humans and robots must operate as a team to complete complex tasks. Existing requirements for Human-Robot teamwork remain fragmented across disparate sources, with no unified framework that addresses complexities of collaborative Human-Robot tasks. We address this gap by presenting a taxonomy of Human-Robot Teamwork (HRT) requirements derived from analysis of (academic and industrial) literature, standards and regulatory guidance. We extracted a construction corpus of 361 requirements from 14 cross-domain sources. Through iterative classification and refinement, we develop a two-level hierarchical taxonomy comprising 6 high-level categories and 21 low-level subcategories that distinguish information provision, relational control, decision support, safety mechanisms, performance monitoring, and foundational system capabilities. We validate the taxonomy through expert evaluation with 5 domain specialists and a utility demonstration on an independently assembled corpus of 448 requirements drawn from 19 sources spanning six HRT domains.
