从临时飞行员到可重复模式：用DroneLets构建紧急服务中的无人机协作
From Ad Hoc Pilots to Repeatable Patterns: Structuring Drone Collaboration in Emergency Services with DroneLets
AI总结：
本文通过实地试验和访谈，提炼出44种交互模式并引入DroneLets设计构件，以结构化的方式实现紧急服务中无人机协作的可重复和可扩展。
摘要：
无人机有望支持紧急服务，但其融入工作流程仍具有临时性和协调密集型。本文探讨两个研究问题：紧急团队希望如何与无人机协作，以及如何将这些协作形式化为可重复的过程。基于四次实地试验和95次访谈，我们推导出44种交互模式，分为10个元模式，反映了侦察、通信和后勤支持等操作需求。为了构建这些实践，我们引入了DroneLets——一种新的设计构件类别，将协作工程扩展到具身代理。DroneLets捕获设置要求、无人机能力、环境约束以及人类和无人机代理之间的协调行动。它们提供了一个模块化框架，用于设计紧急服务中可重复、可扩展的协作过程，并通过向旁观者广播和火灾后监测等模式加以说明。这项工作扩展了协作工程的范围，并为将自主无人机集成到高风险现场操作中提供了结构化基础。
英文摘要：
Drones hold promise for supporting emergency services, but their integration into workflows remains ad hoc and coordination-intensive. This paper addresses two research questions: how emergency teams want to collaborate with drones, and how to formalize these collaborations into repeatable processes. Based on four field trials and 95 interviews, we derive 44 interaction patterns grouped into 10 meta-patterns reflecting operational needs such as reconnaissance, communication, and logistical support. To structure these practices, we introduce DroneLets - a new class of design artifacts that extend Collaboration Engineering to embodied agents. DroneLets capture setup requirements, drone capabilities, environmental constraints, and coordinated actions across human and drone actors. They offer a modular framework for designing repeatable, scalable collaboration processes in emergency services, illustrated through patterns such as broadcasting to bystanders and post-fire monitoring. This work expands the scope of CE and provides a structured foundation for integrating autonomous drones into high-stakes field operations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
