Assessing the Impact of Hand Motion on Virtual Character Personality

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Applied Perception Pub Date : 2016-03-03 DOI:10.1145/2874357
Yingying Wang, J. E. Tree, M. Walker, Michael Neff
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引用次数: 23

Abstract

Designing virtual characters that are capable of conveying a sense of personality is important for generating realistic experiences, and thus a key goal in computer animation research. Though the influence of gesture and body motion on personality perception has been studied, little is known about which attributes of hand pose and motion convey particular personality traits. Using the “Big Five” model as a framework for evaluating personality traits, this work examines how variations in hand pose and motion impact the perception of a character's personality. As has been done with facial motion, we first study hand motion in isolation as a requirement for running controlled experiments that avoid the combinatorial explosion of multimodal communication (all combinations of facial expressions, arm movements, body movements, and hands) and allow us to understand the communicative content of hands. We determined a set of features likely to reflect personality, based on research in psychology and previous human motion perception work: shape, direction, amplitude, speed, and manipulation. Then we captured realistic hand motion varying these attributes and conducted three perceptual experiments to determine the contribution of these attributes to the character's personalities. Both hand poses and the amplitude of hand motion affected the perception of all five personality traits. Speed impacted all traits except openness. Direction impacted extraversion and openness. Manipulation was perceived as an indicator of introversion, disagreeableness, neuroticism, and less openness to experience. From these results, we generalize guidelines for designing detailed hand motion that can add to the expressiveness and personality of characters. We performed an evaluation study that combined hand motion with gesture and body motion. Even in the presence of body motion, hand motion still significantly impacted the perception of a character's personality and could even be the dominant factor in certain situations.
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评估手部动作对虚拟角色个性的影响
设计能够传达个性感的虚拟角色对于产生逼真的体验非常重要,因此也是计算机动画研究的关键目标。虽然手势和身体运动对人格感知的影响已经被研究过,但对于手部姿势和运动的哪些属性传达了特定的人格特征,我们知之甚少。使用“大五”模型作为评估人格特征的框架,这项工作研究了手部姿势和动作的变化如何影响角色个性的感知。正如面部运动所做的那样,我们首先孤立地研究手部运动,作为运行控制实验的要求,以避免多模态交流的组合爆炸(面部表情、手臂运动、身体运动和手的所有组合),并允许我们理解手的交流内容。基于心理学研究和之前的人类运动感知工作,我们确定了一组可能反映个性的特征:形状、方向、幅度、速度和操纵。然后,我们捕捉到改变这些属性的真实手部运动,并进行了三个感知实验,以确定这些属性对角色个性的贡献。手的姿势和手的运动幅度都会影响对所有五种人格特征的感知。速度对除开放性外的所有性状都有影响。方向影响外向性和开放性。操纵被认为是内向、不愉快、神经质和经验不开放的一个指标。从这些结果中,我们总结出了设计细节手部动作的指导方针,这些动作可以增加角色的表现力和个性。我们进行了一项评估研究,将手部运动与手势和身体运动结合起来。即使在有身体动作的情况下,手部动作仍然会显著影响角色的个性,甚至在某些情况下会成为主导因素。
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来源期刊
ACM Transactions on Applied Perception
ACM Transactions on Applied Perception 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
22
审稿时长
12 months
期刊介绍: ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields. The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.
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