Analysis of gesture frequency and amplitude as a function of personality in virtual agents

Alex Rayón, Timothy Gonzalez, D. Novick
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引用次数: 3

Abstract

Embodied conversational agents are changing the way humans interact with technology. In order to develop humanlike ECAs they need to be able to perform natural gestures that are used in day-to-day conversation. Gestures can give insight into an ECAs personality trait of extraversion, but what factors into it is still being explored. Our study focuses on two aspects of gesture: amplitude and frequency. Our goal is to find out whether agents should use specific gestures more frequently than others depending on the personality type they have been designed with. We also look to quantify gesture amplitude and compare it to a previous study on the perception of an agent's naturalness of its gestures. Our results showed some indication that introverts and extraverts judge the agent's naturalness similarly. The larger the amplitude our agent used, the more natural its gestures were perceived. The frequency of gestures between extraverts and introverts seem to contain hardly any difference, even in terms of types of gesture used.
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虚拟代理中手势频率和幅度作为个性函数的分析
具身会话代理正在改变人类与技术互动的方式。为了开发类似人类的eca,它们需要能够在日常对话中使用自然手势。手势可以让我们深入了解eca的外向性格特征,但究竟是什么因素造成的,我们还在探索中。我们的研究主要集中在手势的两个方面:幅度和频率。我们的目标是找出智能体是否应该比其他智能体更频繁地使用特定的手势,这取决于它们被设计成的个性类型。我们还希望量化手势幅度,并将其与之前关于智能体手势自然度感知的研究进行比较。我们的研究结果表明,内向者和外向者对代理人的自然程度的判断是相似的。我们的智能体使用的幅度越大,它的手势就越自然。外向者和内向者使用手势的频率似乎几乎没有什么不同,甚至在使用手势的类型方面也是如此。
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