CAREER: Human interaction with large numbers of unmanned vehicles

职业：人类与大量无人驾驶车辆的互动

• 批准号: 0643100
• 负责人: Julie Adams
• 金额: $ 49.96万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-02-15 至 2013-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0643100&HistoricalAwards=false
• 关键词: CAREER; Human; interaction; large; numbers

Future unmanned vehicle (UV) systems will be deployed for homeland security missions including Chemical, Biological, Nuclear, Radiological, and Explosive (CBRNE) event response. UV systems that incorporate large numbers of ground and aerial UVs [67] (large, mixed-type UV systems) are envisioned. This project will develop visualization techniques that provide a scalable interface incorporating integrated and easily understood information, thus permitting supervision of large, mixed-type UV systems. This project includes three Human-Robotic Interaction (HRI) challenge areas: the development of a data abstraction framework; the development of scalable interface visualization techniques; and the development of visualization transition techniques. During the first four years, the PI will develop and evaluate data abstractions, visualization, and transition techniques. The fifth year focuses on CBRNE field evaluations. A new module for the PI's Complex Human-Machine Interaction course and a new Introduction to Robotics course will be developed. Each summer an undergraduate student and a high school teacher will join the research team. The intellectual merits of this project include: formulation of a data abstraction framework for providing scalable, integrated visualizations; creation and evaluation of visualization and visualization transition techniques; and validation of all hypotheses via quantitative and qualitative usability evaluations with simulated and real UVs.Broader impacts: The development of visualization techniques for large, mixed-type UV systems that allow emergency responders to quickly assess a situation while reducing exposure to contaminants. The development of HRI techniques that will impact UV system development for homeland security that increase personnel capabilities, reduce exposure to dangerous situations, and cover difficult terrain. The development of visualizations may influence interface design for complex system domains such as air traffic control and nuclear process monitoring. The inclusion of high school teachers in summer research projects encourages inclusion of research examples in their courses and may result in increasing student interest in engineering.

未来的无人驾驶车辆（UV）系统将被部署用于国土安全任务，包括化学、生物、核、放射和爆炸（CBRNE）事件响应。设想了包含大量地面和空中紫外线的紫外线系统 [67]（大型混合型紫外线系统）。该项目将开发可视化技术，提供可扩展的界面，整合集成且易于理解的信息，从而允许对大型混合型紫外线系统进行监督。该项目包括三个人机交互（HRI）挑战领域：数据抽象框架的开发；可扩展界面可视化技术的开发；以及可视化过渡技术的发展。 在前四年中，PI 将开发和评估数据抽象、可视化和转换技术。第五年的重点是 CBRNE 现场评估。将开发 PI 复杂人机交互课程的新模块和新的机器人入门课程。每年夏天，一名本科生和一名高中教师都会加入研究团队。该项目的智力优点包括：制定数据抽象框架，以提供可扩展的集成可视化；可视化和可视化过渡技术的创建和评估；并通过使用模拟和真实紫外线进行定量和定性可用性评估来验证所有假设。更广泛的影响：大型混合型紫外线系统可视化技术的发展，使应急响应人员能够快速评估情况，同时减少污染物暴露。 HRI 技术的发展将影响国土安全紫外线系统的开发，从而提高人员能力、减少暴露于危险情况并覆盖困难地形。可视化的发展可能会影响复杂系统领域的界面设计，例如空中交通管制和核过程监控。让高中教师参与夏季研究项目可以鼓励他们在课程中纳入研究实例，并可能提高学生对工程的兴趣。