There has been significant recent interest in developing AI agents capable of effectively interacting and teaming with humans. While each of these works try to tackle a problem quite central to the problem of human-AI interaction, they tend to rely on myopic formulations that obscure the possible inter-relatedness and complementarity of many of these works. The human-aware AI framework was a recent effort to provide a unified account for human-AI interaction by casting them in terms of their relationship to various mental models. Unfortunately, the current accounts of human-aware AI are insufficient to explain the landscape of the work doing in the space of human-AI interaction due to their focus on limited settings. In this paper, we aim to correct this shortcoming by introducing a significantly general version of human-aware AI interaction scheme, called generalized human-aware interaction (GHAI), that talks about (mental) models of six types. Through this paper, we will see how this new framework allows us to capture the various works done in the space of human-AI interaction and identify the fundamental behavioral patterns supported by these works. We will also use this framework to identify potential gaps in the current literature and suggest future research directions to address these shortcomings.
翻译:最近人们对发展能够与人类进行有效互动和团队合作的AI代理机构表现出极大的兴趣。虽然这些代理机构都试图解决一个对人类-AI互动问题非常重要的问题,但它们往往依赖模糊许多此类工作之间可能相互关联和互补的近视配方,人类认识的AI框架是最近为统一说明人类-AI互动情况而做出的努力,从它们与各种心理模式的关系的角度来描绘它们。不幸的是,人们认识AI的当前账户不足以解释人类-AI互动领域的工作格局,因为它们侧重于有限的环境。在本文件中,我们力求纠正这一缺陷,方法是引入一个显著的通用的人类觉悟AI互动计划,称为普遍的人类意识互动(GHAI),讨论六种(心理)模式。通过这份文件,我们将看到这一新框架如何使我们能够掌握在人类-AI互动领域所做的各种工作,并查明这些工作所支持的基本行为模式。我们还将利用这一框架来找出当前文献中的潜在差距,并建议未来研究方向,以弥补这些缺陷。