Towards a Model for Recognising the Social Attitude in Natural Interaction with Embodied Agents

B. D. Carolis, S. Ferilli, Nicole Novielli
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引用次数: 6

Abstract

The problem of implementing socially intelligent agents has been widely investigated in the field of both Embodied Conversational Agents (ECAs) and Social Robots that have the advantage of offering to people the possibility to relate with computer media at a social level. We focus our study on the recognition of the social response of users to embodied agents in the context of ambient intelligence. In this paper we describe how we extended a model for recognizing the social attitude in natural conversation from text by adding two additional knowledge sources: speech and gestures.
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论与具身行动者自然互动中社会态度的识别模型
实现社会智能代理的问题在嵌入会话代理(eca)和社交机器人领域得到了广泛的研究,它们的优势是为人们提供了在社会层面上与计算机媒体联系的可能性。我们的研究重点是在环境智能的背景下识别用户对具身代理的社会反应。在本文中,我们描述了我们如何通过添加两个额外的知识来源:语音和手势,扩展了一个从文本中识别自然对话中的社会态度的模型。
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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