COGNITIVE INFORMATION PROCESSING TECHNOLOGY:

认知信息处理技术：

• 批准号: 8171099
• 负责人: RICHARD A BARKER
• 金额: $ 0.3万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171099
• 关键词: Air; Aircraft; Architecture; Automation; Beds; Cognition; Cognitive; Complex; Computer Retrieval of Information on Scientific Projects Database; Decision Aid; Effectiveness; Event; Feedback; Funding; Future; Goals; Grant; Individual; Institution; Manuals; Metric; Mission; Performance; Phase; Physiological; Research; Research Personnel; Resources; Source; Stress Tests; System; Technology; Testing; United States National Institutes of Health; Workload; cognitive system; combat; information processing; programs; prototype; quantum; simulation; system architecture

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Cognitive Information Processing Technology: Augmented Cognition on the Future Battlefield The goal of the Augmented Cognition on the Future Battlefield proposal is to enable a quantum leap forward in operator-workstation effectiveness by creating a cognitive closed-feedback loop between the operator and an adaptive workstation. The system architecture being developed will be applicable to any battlefield system. Boeing will use the Unmanned Combat Air Vehicle (UCAV) as a demonstrator test bed for an augmented cognition prototype workstation. The Augmented Cognition UCAV workstation will enable UCAV operators to control more aircraft by augmenting the cognition of individual operators. The proposed augmented cognition architecture will leverage the UCAV workstation and the UCAV Decision Aiding System (UDAS). The UCAV/UDAS architecture consists of 4 main components, the UCAV workstation, the UCAV simulation (both vehicle and scenario simulations), UDAS, and the UDAS cognitive workload assessor. ¿¿The UCAV workstation interface is highly modular, and supports easy and efficient rapid prototyping. It takes input from UDAS and reconfigures the workstation display. The UCAV simulation is a full-featured simulation, capable of inserting many high workload mission events such as pop-up targets, and contingency events. ¿¿ The UDAS cognitive workload assessor currently is under manual control by the operator. The augmented cognition cognitive workload assessor will automate this function. The Augmented Cognition program is now in Phase 3. Phase 1 investigated physiological and performance metrics of cognitive workload and those results were incorporated into later Phases. The principle deliverable for Phase 2 was a demonstration of an adaptive, closed-loop operator-workstation system in which the workstation responds to increasing levels of operator cognitive workload by adaptively increasing the automation level of selected tasks and reconfiguring operator displays, thereby lowering cognitive workload. During Phase 3 the workstation will be stress-tested with increasingly complex and realistic scenarios to push the envelope of the operator-workstation team.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 认知信息处理技术：未来战场上的增强认知 未来战场增强认知提案的目标是通过在操作员和自适应工作站之间创建认知闭环，实现操作员工作站有效性的飞跃。 正在开发的系统架构将适用于任何战场系统。波音公司将使用无人战斗机（UCAV）作为增强认知原型工作站的演示试验台。增强认知UCAV工作站将使UCAV操作员能够通过增强个人操作员的认知来控制更多的飞机。 所提出的增强认知体系结构将利用UCAV工作站和UCAV决策辅助系统（UDAS）。UCAV/UDAS体系结构由4个主要部分组成：UCAV工作站、UCAV仿真（包括飞行器和场景仿真）、UDAS和UDAS认知工作负荷评估器。 UCAV工作站界面高度模块化，支持简单高效的快速原型设计。它从UDAS获取输入并重新配置工作站显示。 UCAV仿真是一个全功能的仿真，能够插入许多高工作负荷的使命事件，如弹出目标和应急事件。 UDAS认知工作负荷评估器目前由操作员手动控制。增强认知认知工作负荷评估器将自动执行此功能。 增强认知计划目前处于第三阶段。第1阶段研究了认知工作负荷的生理和性能指标，这些结果被纳入后续阶段。第2阶段的主要交付成果是一个自适应闭环操作员工作站系统的演示，其中工作站通过自适应地提高选定任务的自动化水平和重新配置操作员显示器来响应操作员认知工作负荷水平的增加，从而降低认知工作负荷。在第3阶段，工作站将通过日益复杂和现实的场景进行压力测试，以推动操作员工作站团队的工作范围。