控制者会接受像他们一样思考的机器吗?战略一致性在决策辅助自动化中的作用

B. Hilburn, C. Westin, C. Borst
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引用次数: 25

摘要

在一系列实时试验中,我们模拟了复杂的空中交通管理冲突解决自动化,使用了无法识别的管制员自身表现的回放。使用相当新颖的实验设计和原型空中交通管制界面,我们与操作控制器一起探索了交通复杂性、自动化水平和“策略一致性”(定义为人机解决方案策略之间的匹配)对许多依赖度量的交互影响。与不符合要求的建议(回放同事的不同解决方案)相比,符合要求的建议(精确回放给定控制者之前的解决方案)更容易被接受,评分更高,反应也更快。最后,有一个结果特别突出:大约24%的符合要求的建议被控制者拒绝了。实际上,控制者怎么会在大约四分之一的时间里不同意自己的解决方案呢?该项目目前正在探索这个和其他相关的是……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Will Controllers Accept a Machine That Thinks like They Think? The Role of Strategic Conformance in Decision Aiding Automation
In a series of real time trials, we simulated sophisticated air traffic management conflict resolution automation using unrecognizable replays of controllers’ own performance. Using a fairly novel experimental design and a prototype air traffic control interface, we explored with operational controllers the interactive effects of traffic complexity, level of automation, and “strategic conformance” (defined as the match between human and machine solution strategy) on a number of dependent measures. Conformal advisories (exact replays of a given controller’s previous solution) were accepted more often, rated higher, and responded to faster than were non-conformal advisories (replays of a colleague’s different solution). In the end, one result stood out in particular: roughly 24% of conformal advisories were rejected by controllers. How could it be that controllers, in effect, disagreed with their very own solutions roughly one quarter of the time? The project is currently exploring this and other related is...
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