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Multi-Level Human-Autonomy Teams for Distributed Mission Management

机译:用于分布式任务管理的多级人类自主团队

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Control of the air in envisioned large-scale battles against near-peer adversaries will require revolutionary new approaches to airborne mission management, where decision authority and platform autonomy are dynamically delegated and functional roles and combat capabilities are assigned across multiple distributed tiers of platforms and human operators. System capabilities range from traditional airborne battle managers, to manned tactical aviators, to autonomous unmanned aerial systems. Due to the overwhelming complexity, human operators will require the assistance of advanced autonomy decision aids with new mechanisms for operator supervision and management of teams of manned and unmanned systems. In this paper we describe a conceptual distributed mission management approach that employs novel human-automation teaming constructs to address the complexity of envisioned operations in highly contested environments. We then discuss a cognitive engineering approach to designing role- and task-tailored human machine interfaces between humans and the autonomous systems. We conclude with a discussion of multi-level evaluation approaches for experimentation.
机译:对近同行对手的设想的大规模战斗中的空气控制将需要革命性的新方法来飞行的使命管理,其中决策权和平台自治是动态委派的,并且在多个分布式平台和人类的多个分布式层中分配了功能角色和战斗能力。运营商。系统能力范围从传统的空中战斗经理,载人的战术飞行员,自主无人机的空中系统。由于压倒性的复杂性,人类运营商将需要高级自主决策援助的援助,并对载人和无人制度团队的运营商监督和管理进行新机制。在本文中,我们描述了一种概念分布式任务管理方法,采用新的人类自动化组织构建体,以解决高度竞争环境中设想运营的复杂性。然后,我们讨论了在人类和自主系统之间设计角色和任务量身定制的人机界面的认知工程方法。我们讨论了多级评估方法进行实验。

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