Verification of hybrid human-automation systems

人机交互中的问题导致了昂贵、高风险和安全关键系统的重大故障，但很少有数学方法或工具来分析人机自动化系统。为了解决这一空白，我的研究创造了通用的方法和工具，以便在系统构建、测试和部署之前识别人机交互中的问题。例如，“自动化意外”，当自动化做了一些用户意想不到的事情时，已经涉及许多飞机事故和事故（名古屋1994年，图卢兹1996年）。我的方法是基于可达性分析，它通过识别所有可能导致“不安全”目标的状态（例如，失速状态）来提供安全的数学保证。用于防止工程系统中的自动化意外和其他不良现象，开发的计算工具和方法可以显著影响工程系统的设计和可靠性。

Problems in human-automation interaction have contributed to major failures in expensive, high-risk, and safety-critical systems, yet few mathematical methods or tools to analyze human-automation systems exist. To address this void, my research creates general methods and tools to identify problems in human-automation interaction before systems are built, tested, and deployed. For example, "automation surprises", which occur when the automation does something the user does not expect, have been implicated in many aircraft incidents and accidents (Nagoya 1994, Toulouse 1996). My methods are based on reachability analysis, which provides a mathematical guarantee of safety by identifying all states which could lead to an "unsafe" target (e.g., a stall condition). Used to prevent automation surprises and other undesirable phenomena in engineered systems, the developed computational tools and methods can significantly impact engineered system design and reliability.