Short note - adequate trust, human-capacity-factor, probability-distribution-function of human non-failure and its entropy

E. Suhir
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引用次数: 13

Abstract

This note is an extension, a generalisation of and an attempt to quantify, on the probabilistic basis, the message of the recent Kaindl and Svetinovic (2019) publication Avoiding Undertrust and Overtrust. The author of the present analysis addresses some important aspects of the human-in-the-loop problem for safety-critical missions and situations, in which trust can be viewed as an essential part of the human-capacity-factor (HCF). This factor, as has been recently suggested, should be evaluated vs. mental workload (MWL), when there is a need to assure a successful and safe outcome of a particular human effort, such as, e.g., an aerospace mission or an extraordinary situation. The double exponential probability distribution function (DEPDF) for the random HCF is revisited. It is shown particularly that the entropy of this distribution, when applied to the trustee (a human, a technology, a methodology or a concept), can be viewed as an appropriate quantitative characteristic of the propensity of a decision maker to an under-trust or an over-trust judgment and, as a consequence of that, to the likelihood of making a mistake or an erroneous decision.
简短的说明-充分的信任,人的能力因素,概率-分布-函数的人的不失败和它的熵
本文是对最近Kaindl和Svetinovic(2019)发表的《避免信任不足和过度信任》(avoid Undertrust and Overtrust)所传达的信息的延伸、概括和量化的尝试。本分析的作者解决了安全关键任务和情况下人在环问题的一些重要方面,其中信任可以被视为人的能力因素(HCF)的重要组成部分。正如最近所建议的那样,当需要确保特定人类努力的成功和安全结果时,例如,航空航天任务或特殊情况,应将这一因素与精神工作量(MWL)进行评估。重新研究了随机HCF的双指数概率分布函数(DEPDF)。本文特别指出,当将这种分布的熵应用于受托人(人、技术、方法或概念)时,可以将其视为决策者倾向于信任不足或过度信任判断的适当定量特征,以及由此导致的犯错或错误决策的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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