基于建议和适应性自治的信赖支持对团队绩效的影响

P. V. Maanen, Francien Wisse, J. Diggelen, R. Beun
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引用次数: 5

摘要

在时间限制和模糊的情况下,估计信息源信任的问题很常见,并且经常导致团队绩效的下降。人类缺乏追踪信息完整性的资源,因此倾向于过度或不足地依赖于支持系统的建议。已经开发和评估了两种类型的自适应团队支持,旨在支持人机团队适当地估计信任并做出适当的依赖决策。第一个自适应系统(图形支持)通过传达估计的信任过度或信任不足程度来提供支持。第二个系统(自适应自治)在估计超过某个阈值时接管依赖决策。这两种类型的支持在多智能体环境中实现,在该环境中,人类操作员和无人机(uav)共同完成目标分类任务。我们从团队绩效、满意度和有效性三个方面对两种支持类型进行了评价,得到了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Reliance Support on Team Performance by Advising and Adaptive Autonomy
Problems with estimating trust in information sources are common in time constraining and ambiguous situations and often lead to a decrease of team performance. Humans lack the resources to track the integrity of information and thus tend to over- or under-rely on advice from support systems. Two types of adaptive team support have been developed and evaluated that are intended to support human-computer teams in estimating trust appropriately and making appropriate reliance decisions thereof. The first adaptive system (graphical support) supports by communicating the estimated degree of over- or under-trust. The second system (adaptive autonomy) takes over a reliance decision when this estimation exceeds a certain threshold. The two types of support were implemented in a multi-agent environment where human operators and Unmanned Aerial Vehicles (UAVs) work together on a target classification task. We evaluated the two support types in terms of team performance, satisfaction and effectiveness and obtained promising results.
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