Cognitive dissonance as a measure of reactions to human-robot interaction

D. Levin, C. Harriott, Natalie Paul, Tao Zhang, J. Adams
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引用次数: 30

Abstract

When people interact with intelligent agents, they likely rely upon a wide range of existing knowledge about machines, minds, and intelligence. This knowledge not only guides these interactions, but it can be challenged and potentially changed by interaction experiences. We hypothesized that a key factor mediating conceptual change in response to human-machine interactions is cognitive conflict, or dissonance. In this experiment, we evaluated whether interactions with a robot partner during a realistic medical triage scenario caused increased levels of cognitive dissonance relative to a control condition in which the same task was performed with a human partner. In addition, we evaluated whether heightened levels of dissonance affected concepts about agents. We observed increased cognitive dissonance after the human-robot interaction and found that this dissonance was correlated with a significantly less intentional (e.g., less human-like) view of the intelligence inherent to computers.
认知失调作为对人机交互反应的衡量标准
当人们与智能代理交互时,他们可能依赖于关于机器、思想和智能的广泛现有知识。这些知识不仅可以指导这些交互,而且可以通过交互经验来挑战和潜在地改变。我们假设,一个关键因素调解的概念变化,以响应人机交互是认知冲突,或不协调。在本实验中,我们评估了在现实医疗分诊场景中与机器人伴侣的互动是否会导致认知失调水平增加,而在控制条件下,与人类伴侣执行相同的任务。此外,我们评估了高度的不协调是否会影响有关代理的概念。我们观察到人机交互后认知失调的增加,并发现这种失调与计算机固有智能的明显不那么有意识(例如,不那么像人类)的观点相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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