Understanding Human-Robot Collaboration through Joint Action
Chengwen Zhang · Jianyang Wang · Chang Liu · Yukun Wang · Yuan Xu · Zhoutong Ye · et al.
人机协作要求伙伴协调相互依赖的贡献以实现共同目标。联合行动理论提供了理解这种协调的概念，但其在实证研究中的实例化和组合方式仍然碎片化。遵循 PRISMA 2020 标准，本研究系统回顾了 2021 年至 2026 年间发表的 83 篇实证论文。通过理论驱动框架分析，将文献组织为三个能力维度（表征、预测、整合）下的九个构念。研究分析了这些构念在研究中的分布与共现情况，揭示了实证证据的集中区域与缺失区域。通过将实证人机协作研究映射到统一的联合行动框架，该综述提供了人机协作研究的一致概览，识别了当前证据的差距，并为未来研究提供了指导。
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arXiv:2610.37298v1 Announce Type: cross Abstract: Human-robot collaboration requires partners to coordinate interdependent contributions toward a shared goal. Joint Action theory provides concepts for understanding this coordination, but how these concepts are instantiated and combined across empirical research remains fragmented. We conducted a systematic review following PRISMA 2020, identifying 83 empirical papers published between 2021 and 2026. Through theory-driven framework analysis, we organized the literature into nine constructs across three capacities: Representation, Prediction, and Integration. We analyze how these constructs are distributed and co-occur across studies, revealing where empirical evidence concentrates and where it is absent. By mapping empirical HRC research onto a unified Joint Action framework, this review offers a coherent overview of HRC studies, identifies gaps in current evidence, and provides guidelines for future research.
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