SGER: Human-MAV Team Processes for Effective Hurricane Response

SGER：有效应对飓风的人-多飞行器团队流程该项目将使科学家能够利用旋翼微型飞行器（rmav）或携带相机的微型直升机，对2006年的四场飓风立即做出反应。预计rMAV小组将能够直接为应对工作作出贡献，并进行研究。微型背包直升机对搜救来说是一种变革，但对于如何训练救援人员在压力条件下有效地使用它们，人们知之甚少。在实际救灾期间，将收集和存档关于rMAV和团队流程和绩效的临时数据，供科学界，特别是人机交互界和应急反应界使用。这些数据将用于验证在我们之前在卡特里娜飓风和威尔玛飓风中产生的应急响应条件下有效和安全飞行rmav的团队流程模型。该项目还将创建一个快速的认知工作分析领域方法，该方法将允许团队角色和策略在每次轮班后被识别和修改。虽然这种快速的方法不太可能是最佳的，但它有望促进立即的改善——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重大而广泛的影响。

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.