From Ad Hoc Pilots to Repeatable Patterns: Structuring Drone Collaboration in Emergency Services with DroneLets

2026-06-16

AI Summary

This study addresses the lack of reusable, structured human-drone collaboration protocols in emergency response, which often leads to ad hoc and costly coordination. Drawing on four field trials and 95 interviews, the authors identify 44 interaction patterns and synthesize them into 10 meta-patterns, thereby extending collaborative engineering to embodied intelligent agents for the first time. They propose DroneLets—a novel design construct that modularizes human-drone teamwork by integrating environmental constraints, capability requirements, and coordinated actions. This framework enables reusable, scalable collaboration tailored to emergency scenarios. Empirical validation demonstrates that DroneLets effectively supports diverse missions—including reconnaissance, communication relay, and logistics—such as guiding bystanders and post-fire monitoring, significantly enhancing collaborative efficiency.

Abstract

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.

Problem

• drone collaboration
• emergency services
• repeatable patterns
• coordination
• workflow integration

Innovation

• DroneLets
• Collaboration Engineering
• emergency services
• interaction patterns
• autonomous drones