论文标题

告诉我一些可以帮助我信任您的东西:人类代理互动中信任校准的调查

Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction

论文作者

Cancro, George J., Pan, Shimei, Foulds, James

论文摘要

当人类从智能代理人那里获得预测或推荐的行动方案时,除了预测或建议本身之外,哪些其他信息是否要求代理人决定是否信任还是拒绝预测或建议?在本文中,我们调查了单个人类主管和单个代理人从属的信任领域的文献,以确定此附加信息的性质和范围,并将其表征为分类法,这可以由未来的研究人员和智能代理人从事。通过从以人为中心的,以信息为中心的角度来研究这个问题,我们可以开始比较和对比不同的实现,并为将来的工作提供洞察力和方向。

When a human receives a prediction or recommended course of action from an intelligent agent, what additional information, beyond the prediction or recommendation itself, does the human require from the agent to decide whether to trust or reject the prediction or recommendation? In this paper we survey literature in the area of trust between a single human supervisor and a single agent subordinate to determine the nature and extent of this additional information and to characterize it into a taxonomy that can be leveraged by future researchers and intelligent agent practitioners. By examining this question from a human-centered, information-focused point of view, we can begin to compare and contrast different implementations and also provide insight and directions for future work.

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