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.

翻译：无人机在支持紧急服务方面前景广阔，但其融入工作流程仍以临时安排为主且协调复杂。本文探讨两个研究问题：应急团队如何期望与无人机协作，以及如何将这些合作形式化为可重复流程。基于四次实地试验和95次访谈，我们提炼出44种交互模式，归纳为10种反映操作需求的元模式，涵盖侦察、通信和后勤支持等场景。为构建这些实践体系，我们引入DroneLets——一种将协作工程扩展至具身智能体的新型设计构件。DroneLets可捕获设置需求、无人机能力、环境约束及人机协同动作，提供模块化框架用于设计应急服务中可重复、可扩展的协作流程，并通过向旁观者广播、灾后监测等模式加以实例说明。本研究拓展了协作工程的范畴，为将自主无人机融入高风险现场操作奠定了结构化基础。