论文标题

人类共生的以心理模型为中心的景观

A Mental-Model Centric Landscape of Human-AI Symbiosis

论文作者

Zahedi, Zahra, Sreedharan, Sarath, Kambhampati, Subbarao

论文摘要

最近,人们对开发能够与人类进行有效互动和团队的AI代理产生了重大兴趣。尽管这些作品都试图解决一个与人类互动问题相当核心的问题,但它们倾向于依靠近视表述,这些表述掩盖了许多这些作品的相关性和互补性。人类意识的AI框架是最近的努力,旨在通过将它们与各种心理模型的关系施放来提供人类互动的统一说明。不幸的是,由于关注有限的环境,因此人类感知AI的经历不足以解释在人类互动空间中所做的工作的景观。在本文中,我们旨在通过引入人类感知的AI相互作用方案(称为人类意识的互动(GHAI))来纠正这一缺点,该方案谈到了六种类型的(心理)模型。通过本文,我们将看到这个新框架如何允许我们捕获在人类互动空间中所做的各种作品,并确定这些作品支持的基本行为模式。我们还将使用此框架来确定当前文献中的潜在差距,并建议未来的研究方向来解决这些缺点。

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.

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