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Providing Gender to Embodied Conversational Agents

机译:提供性别以体现对话代理人

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Communication, along with other factors, varies with gender. Significant work as been done around embodied conversational agents (ECAs) verbal and non-verbal behaviour but gender issue has often been ignored. Yet, together with personality, culture and other factors, gender is a feature that impacts the perception and thus the believability of the characters. The main goal of this work is to understand how gender can be provided to ECAs, and provide a very simple model that allows for existing tools to overcome such limitation. The proposed system was developed around SAIBA Framework using SmartBody as the behavior realizer and tries to address this problem by adding a set of involuntary gender specific movements to the agents behaviour in an automatic manner. This is achieved by revising and complementing the work done by the existing non-verbal behaviour generators. Focusing mainly on nonverbal behaviour, our agents with gender were tested to see if users were able to perceive the gender bias of the behaviours being performed. Results have shown that gender is correctly perceived, and also has effects when paired with an accurate gender appearance.
机译:通信以及其他因素,性别因性别而异。围绕体现的会话代理(ECAS)口头和非口头行为的重要工作,但性别问题往往被忽略。然而,与人格,文化和其他因素一起,性别是影响知识的特征,从而影响人物的可信性。这项工作的主要目标是了解如何向ECA提供性别,并提供一个非常简单的模型,允许现有工具克服此类限制。拟议的系统是在SAIBA框架上使用智能体作为行为识别器而开发的,并试图通过以自动方式向代理行为添加一组非自愿性别特定运动来解决这个问题。这是通过修改和补充现有的非言语行为发生器所做的工作来实现的。主要关注非语言行为,我们测试了具有性别的代理商,以了解用户是否能够察觉所执行行为的性别偏见。结果表明,性别被正确地感知,并且在与准确的性别外观配对时也具有效果。

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