EAGER/Collaborative Research:Bumpless Re-Engagement in Shared Control

EAGER/协作研究：共享控制中的无扰重新参与

• 批准号: 1549815
• 负责人: Anuradha Annaswamy
• 金额: $ 15万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1549815&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Bumpless; Re

This EArly-Concept Grant for Exploratory Research (EAGER) award is an interdisciplinary project that brings together an expert in adaptive control with an expert in the cognitive basis of anomaly response. The focus is on providers of highly automated, business critical, smart digital services in which human supervisors normally monitor automatic controllers, but must take over control if anomalous events occur that the automation is not designed to handle. The objective is to ensure that such transitions occur safely, smoothly, and reliably. An industrial research partner will provide a set of cases of anomaly response from actual business critical software services.Smart services increasingly rely on autonomous computational mechanisms to quickly handle extremely large numbers of transactions extremely. Given the scale and dependence on automation, even small disrupting events can cascade quickly, and human supervision may lead to late and erroneous responses when anomalies occur that challenge automated capabilities. This project promises to re-engage human supervisors in the developing anomaly (a) smoothly, by providing anomaly visualizations that anticipate when the automated activity is at risk of saturating control, and (b) quickly, so that supervisors can intervene to block cascading problems. Performance testing will be based on actual cases of anomaly response and will estimate how re-engagement following anomalies is smooth or bumpy, the increase in responsiveness to anomalies, and the range of autonomous activities that can be supervised effectively with the new form of shared control.

这项探索性研究（EAGER）奖的早期概念赠款是一个跨学科的项目，在自适应控制方面的专家将专家与专家汇集在一起​​。重点是高度自动化，关键，智能数字服务的提供商，其中人类主管通常会监视自动控制器，但如果发生异常事件，则必须接管控制自动化的控制。目的是确保此类过渡安全，平稳和可靠地发生。工业研究合作伙伴将提供一组来自实际关键业务软件服务的异常响应案例。SMART服务越来越依赖自主计算机制，以快速处理大量的交易。鉴于对自动化的规模和依赖性，即使是小型破坏事件也可以迅速级联，并且当发生异常时，人类的监督可能会导致迟到和错误的响应，从而挑战自动化功能。该项目有望通过提供异常可视化来预测自动化活动何时有饱和控制的风险，并迅速迅速介入，使主管可以干预以阻止级联问题。绩效测试将基于实际反应的实际情况，并将估计在异常后的重新参与是如何平滑或颠簸的，对异常的响应能力的增加以及可以通过新的共享控制形式有效监督的自主活动范围。