GRETA. A BELIEVABLE EMBODIED CONVERSATIONAL AGENT-猫眼课题宝

格蕾塔。

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2005

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作者：

I. Poggi;C. Pelachaud;F. D. Rosis;V. Carofiglio;B. D. Carolis

1. 智能可信的具身会话代理目前对自主代理的广泛研究致力于构建eca，即具身会话代理（Cassell et al. 2000; Pelachaud & Poggi, 2001）。ECA是通过多模态通信行为与用户或其他代理交互的虚拟代理。它具有逼真的或卡通的身体，能够产生口语话语和对话，使用韵律和语调适当的声音，表现出与所说出的话语相对应的音素，做出手势，摆出姿势，产生面部表情和交流的凝视行为。ECA通常是可信代理，即能够表达情感（Bates, 1994）和展示特定人格（Loyall & Bates, 1997）。但是，根据最近的文献（Trappl & Payr, in press; de Rosis et al., in press a），如果Agent能够以特定文化的典型方式行事，并且具有个人沟通风格（Canamero & Aylett, in press; Ruttkay et al., in press），那么它就更加可信。事实上，这就是人之所以为人的原因。此外，非洲经委会必须是相互作用的，即考虑到用户和情况，以便根据手头的特定用户和情况调整相互作用。在满足这些约束的ECA中，交际输出，即所显示的多模态交际信号（词语、韵律、手势、面部、凝视、身体姿势和动作）的特定组合由不同方面决定：a.交流内容，b.情感，c.个性，d.文化，e.风格，f.语境和用户敏感性。在交流互动的每个时刻，所有这些方面都相互结合，以决定Agent将说什么以及如何说。在本文中，我们展示了ECA的这些方面如何根据人类交际行为的信念和目标观点进行建模。然后我们举例说明Greta，这是一个遵循这些原则的ECA，正在欧盟项目MagiCster的背景下实施

1. INTELLIGENT BELIEVABLE EMBODIED CONVERSATIONAL AGENTS A wide area of research on Autonomous Agents is presently devoted to the construction of ECAs, Embodied Conversational Agents (Cassell et al. 2000; Pelachaud & Poggi, 2001). An ECA is a virtual Agent that interacts with a User or another Agent through multimodal communicative behavior. It has a realistic or cartoon-like body and it can produce spoken discourse and dialogue, use voice with appropriate prosody and intonation, exhibit the visemes corresponding to the words uttered, make gestures, assume postures, produce facial expression and communicative gaze behavior. An ECA is generally a Believable Agent, that is, one able to express emotion (Bates, 1994) and to exhibit a given personality (Loyall & Bates, 1997). But, according to recent literature (Trappl & Payr, in press; de Rosis et al., in press a), an Agent is even more believable if it can behave in ways typical of given cultures, and if it has a personal communicative style (Canamero & Aylett, in press; Ruttkay et al., in press). This is, in fact, what makes a human a human. More, an ECA must be interactive, that is, take User and context into account, so as to tailor interaction onto the particular User and context at hand. In an ECA that fulfils these constraints the communicative output, that is, the particular combination of multimodal communicative signals displayed (words, prosody, gesture, face, gaze, body posture and movements) is determined by different aspects: a. contents to communicate, b. emotions, c. personality, d. culture, e. style, f. context and User sensitivity. At each moment of a communicative interaction, all of these aspects combine with each other to determine what the Agent will say, and how. In this paper we show how these aspects of an ECA can be modeled in terms of a belief and goal view of human communicative behavior. We then illustrate Greta, an ECA following these principles which is being implemented in the context of the EU project MagiCster

GRETA. A BELIEVABLE EMBODIED CONVERSATIONAL AGENT

格蕾塔。

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