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Evaluating Emotive Character Animations Created with Procedural Animation

机译:评估使用过程动画创建的情绪角色动画

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摘要

How to create effective body animations for virtual agents with emotions remains the state of the art for human animators and a great challenge for computer scientists. In this paper, we propose to use a model of hierarchal parameters to represent body animations: emotional, style, motion, and procedural parameters. Based on this model, we have created motions for a virtual character with generic animation procedures and mapped these procedural parameters into style parameters as proposed in the literature. The expressiveness of the generated animations was verified through experiments in our previous work. In this paper, we further report the results of two experiments attempting to verify how the style parameters are mapped into various emotions. The results reveal that the participants can successfully distinguish emotions based on the manipulation of style parameters for neutral motions such as walking. When these style parameters were used for emotive motions, including pounding, shivering, flourishing and crestfallen, the generated animations were even more effective for intended contexts.
机译:如何为具有情感的虚拟主体创建有效的身体动画,仍然是人类动画师的最新技术,也是计算机科学家面临的巨大挑战。在本文中,我们建议使用层次参数模型来表示身体动画:情绪,样式,动作和程序参数。基于此模型,我们使用通用动画程序为虚拟角色创建了动作,并将这些过程参数映射为文献中提出的样式参数。通过我们以前的工作中的实验,验证了所生成动画的表现力。在本文中,我们进一步报告了两个实验的结果,这些实验试图验证样式参数如何映射到各种情感中。结果表明,参与者可以通过操纵中性动作(例如步行)的样式参数来成功区分情绪。当这些样式参数用于情感运动时,包括敲打,发抖,蓬勃发展和跌倒,生成的动画在预期的环境中甚至更有效。

著录项

  • 来源
    《Intelligent virtual agents》|2009年|308-315|共8页
  • 会议地点 Amsterdam(NL);Amsterdam(NL)
  • 作者单位

    Department of Computer Science, National Chengchi University, Taiwan;

    Department of Psychology, Research Center for Mind, Brain, and Learning, National Chengchi University, Taiwan;

    Department of Applied Psychology, Hsuan Chuang University, Taiwan;

    Department of Psychology, Research Center for Mind, Brain, and Learning, National Chengchi University, Taiwan;

    Department of Computer Science, National Chengchi University, Taiwan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

  • 入库时间 2022-08-26 14:01:01

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