人-人工智能交互中通信方向性和AI Agent差异的影响

Zahra Ashktorab, Casey Dugan, James M. Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell
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引用次数: 14

摘要

在人类与人工智能的协作环境中,沟通的方向在用户如何看待他们的人工智能合作伙伴方面起着重要作用。在带有部分可观察信息的AI驱动的合作游戏中,玩家(无论是AI还是人类玩家)都要求自己的行动能够被其他玩家准确地解释,从而产生成功的结果。在本文中,我们研究了在合作博弈环境下具有不同通信方向的人工智能代理的社会感知。当参与者认为他们正在与人工智能或人类一起玩时,我们测量参与者对其合作伙伴的主观社会感知(融洽、智力和受欢迎程度)以及交流的性质(响应性和领导角色)。我们对这款协作游戏的《Mechanical Turk》(n=199)进行了大规模研究,发现不同AI代理、不同交流方向以及代理被认为是AI/人类时的玩法结果和社会感知存在显著差异。我们发现,在先前的研究中已经证明的对人工智能的偏见随着通信的方向和与人工智能代理的关系而变化。
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 Communication Directionality and AI Agent Differences in Human-AI Interaction
In Human-AI collaborative settings that are inherently interactive, direction of communication plays a role in how users perceive their AI partners. In an AI-driven cooperative game with partially observable information, players (be it the AI or the human player) require their actions to be interpreted accurately by the other player to yield a successful outcome. In this paper, we investigate social perceptions of AI agents with various directions of communication in a cooperative game setting. We measure subjective social perceptions (rapport, intelligence, and likeability) of participants towards their partners when participants believe they are playing with an AI or with a human and the nature of the communication (responsiveness and leading roles). We ran a large scale study on Mechanical Turk (n=199) of this collaborative game and find significant differences in gameplay outcome and social perception across different AI agents, different directions of communication and when the agent is perceived to be an AI/Human. We find that the bias against the AI that has been demonstrated in prior studies varies with the direction of the communication and with the AI agent.
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