SGER: Human-MAV Team Processes for Effective Hurricane Response

SGER：该项目将使科学家能够立即对2006年的四场飓风作出反应，使用旋翼微型飞行器（rMAV）或携带相机的微型直升机。预计rMAV团队将能够直接为响应工作做出贡献，并进行研究。小型背包式直升机是搜索和救援的变革，但人们对如何训练响应者在压力条件下有效使用它们知之甚少。将收集和存档有关rMAV和团队流程以及实际灾害响应期间的性能的短暂数据，供科学界，特别是人机交互和应急响应界使用。这些数据将用于验证团队流程模型，以便在我们之前在卡特里娜飓风和威尔玛飓风期间产生的应急响应条件下有效和安全地飞行rMAV。该项目还将创建一个快速的认知工作分析领域的方法，这将使团队的角色和战略，以确定和修改后，每一个班次。虽然这种快速方法不太可能是最佳的，但预计它将促进立即改善-这可能意味着灾难受害者的生死。此外，该项目将对应急响应、土木和机械、保险和机器人社区产生更广泛的影响。

SGER: Human-MAV Team Processes for Effective Hurricane ResponseThis project will enable scientists to immediately respond to four hurricanes in 2006 with rotary-wing micro air vehicles (rMAVs), or miniature helicopters carrying cameras. It is expected that the rMAV team will be able to directly contribute to the response effort, as well as conduct research. Miniature backpackable helicopters are transformational to search and rescue, but little is known about how responders can be trained to use them effectively under stressful conditions. Ephemeral data on rMAV and team processes and performance during the actual disaster response will be collected and archived for use by the scientific, especially human-robot interaction, and emergency response communities. The data will be used to validate a model of team processes for effective and safe flying of rMAVs under emergency response conditions generated during our previous work at Hurricanes Katrina and Wilma. This project will also create a quick-time cognitive work analysis field method which will allow team roles and strategies to be identified and modified after each shift. While this quick-time method is unlikely to be optimal, it is expected to foster immediate improvements- which could mean life and death for disaster victims. In addition, the project will have significant broader impacts spanning the emergency response, civil and mechanical, insurance, and robotics communities.