面向作战航空自主措施的人目标实时信任

IF 1 4区 心理学 Q4 PSYCHOLOGY, APPLIED
P. Highland, T. Schnell, K. Woodruff, Gianna Avdic-McIntire
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引用次数: 0

摘要

在视距内空战“缠斗”场景中,能否实时测量和计算客观信任指标?以往的研究主要集中在模拟地面作战自动化中的人的信任问题和民航自动化中的人的信任问题。这些研究主要由事后分析的主观信任测量组成。在诸如斗狗这样的高风险情况下,人类对自主性的信任尚未得到研究。方法九名评估飞行员参与了一项实验,该实验由九个操作相关的实景飞行片段组成,在此过程中,他们在执行任务管理任务的同时,在空中缠斗中监视控制自己飞船的自主代理。眼动追踪、客观实时心理工作量和任务管理员的任务表现都被记录下来。结果通过传统的主观信任测量,客观地实时测量了信任的潜在指标,包括自主性脱离、自主性交叉核对率和实时客观心理负荷。在未来的工作中,衡量信任仍然需要被分类为适当信任、过度信任和欠信任。这是第一次实时测量与实际操作相关的真实飞行中信任的客观指标,为确定高风险情况下(如斗狗)人类对自主性的适当信任铺平了道路。这些措施可能会在高风险的有人-无人团队应用中发挥作用,比如与机器人合作和自动交易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Human Objective Real-Time Trust of Autonomy Measures for Combat Aviation
ABSTRACT Objective Can objective trust indicators be measured and computed in real time in a within visual range aerial combat “dogfight” scenario consisting of a manned autonomous own-ship versus an adversary? Background Previous research has focused on human trust of automation during simulated ground combat and human trust of civil aviation automation. Those studies largely consisted of subjective measures of trust analyzed post-hoc. Human trust of autonomy in high-risk situations such as dogfighting had not yet been studied. Method Nine evaluation pilots participated in an experiment that consisted of nine operationally relevant live-flight vignettes during which they conducted a mission manager task while simultaneously monitoring an autonomous agent controlling their own-ship in an aerial dogfight. Eye tracking, objective real-time mental workload, and mission manager task performance were all recorded. Results Potential indicators of trust were objectively measured in real-time as a function of autonomy disengagement, human cross-check ratio of autonomy, and real-time objective mental workload, as validated by traditional subjective trust measures. Measured trust still needs to be categorized as appropriate trust, overtrust, or undertrust in future work. Conclusion This first-ever real-time measure of objective indicators of trust in operationally relevant live-flight paves the way for determining appropriate human trust of autonomy in high-risk situations such as dogfighting. These measures could have utility in high-risk manned-unmanned teaming applications such as working with robots and automated trading.
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CiteScore
2.80
自引率
7.70%
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