主题演讲:网络物理系统操作者的认知状态检测:实验设计

R. Maxion
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引用次数: 1

摘要

只提供摘要形式。网络物理系统的操作人员,尤其是医院、电力和水厂、电信等关键基础设施的操作人员,容易出现情绪变化,从而影响他们控制系统或避免错误的能力。情绪,尤其是压力,会影响精细运动控制,因为大脑中释放的主要压力激素会让身体对感知到的不良事件做出逃跑或战斗的反应。由于精细的运动控制是我们在键盘上打字时所使用的,精神状态的变化——情绪、压力等——可以通过观察操作员打字节奏的变化来检测。这种变化,由于压力或焦虑,也可能表现在有恶意的用户/运营商,如盗窃企业或军事敏感信息(例如,维基解密案)。要确定这种打字节奏的变化是否能被检测到,需要进行仔细的实验。本次演讲将讨论测试这一想法的实验设计,为思考和计划一系列活动提供一个框架,以证明通过键盘检测压力/情绪的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keynote: Detecting cognitive state for operators of cyber-physical systems: Design of experiments
Summary form only given. Operators of cyber-physical systems, especially those in critical infrastructure like hospitals, power and water plants, telecommunications, etc., are prone to mood changes that can affect their ability to control systems or to avoid error. Moods, especially stress, can affect fine motor control due to the release of primary stress hormones in the brain that prepare the body for a flight-or-fight response to a perceived adverse event. Since fine motor control is what we use when we type on a keyboard, changes in mental state - mood, stress, etc. - might be detectable by observing changes in operator typing rhythms. Such changes, due to stress or anxiety, might also manifest in users/operators who have malicious intent, as in theft of corporate or military sensitive information (e.g., the WikiLeaks case). To determine whether or not such changes in typing rhythms can be detected will take careful experimentation. This talk will discuss the design of experiments to test this idea, providing a framework for thinking about and planning a suite of activities to demonstrate the feasibility of detecting stress/emotion through the keyboard.
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