机器人故事系统中基于角色的社会实践

Adriana Bono, A. Augello, M. Gentile, S. Gaglio
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引用次数: 4

摘要

在这项工作中,我们提出了一个机器人讲故事系统,其中角色被建模为体现在Pepper和NAO机器人中的认知代理。这些角色是通过利用ACT-R架构来设计的,考虑到知识、行为、规范和典型的社会实践期望以及由他们的个性产生的欲望。在叙述过程中,人物通过一种内部对话来解释他们的推理过程,这种对话在观众中产生了高度的可信度。
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Social Practices based characters in a Robotic Storytelling System
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience.
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