Strutting Hero, Sneaking Villain: Utilizing Body Motion Cues to Predict the Intentions of Others

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Applied Perception Pub Date : 2015-12-10 DOI:10.1145/2791293
H. Kiiski, Ludovic Hoyet, Andrew T. Woods, C. O'Sullivan, F. Newell
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引用次数: 10

Abstract

A better understanding of how intentions and traits are perceived from body movements is required for the design of more effective virtual characters that behave in a socially realistic manner. For this purpose, realistic body motion, captured from human movements, is being used more frequently for creating characters with natural animations in games and entertainment. However, it is not always clear for programmers and designers which specific motion parameters best convey specific information such as certain emotions, intentions, or traits. We conducted two experiments to investigate whether the perceived traits of actors could be determined from their body motion, and whether these traits were associated with their perceived intentions. We first recorded body motions from 26 professional actors, who were instructed to move in a “hero”-like or a “villain”-like manner. In the first experiment, 190 participants viewed individual video recordings of these actors and were required to provide ratings to the body motion stimuli along a series of different cognitive dimensions (intentions, attractiveness, dominance, trustworthiness, and distinctiveness). The intersubject ratings across observers were highly consistent, suggesting that social traits are readily determined from body motion. Moreover, correlational analyses between these ratings revealed consistent associations across traits, for example, that perceived “good” intentions were associated with higher ratings of attractiveness and dominance. Experiment 2 was designed to elucidate the qualitative body motion cues that were critical for determining specific intentions and traits from the hero- and villain-like body movements. The results revealed distinct body motions that were readily associated with the perception of either “good” or “bad” intentions. Moreover, regression analyses revealed that these ratings accurately predicted the perception of the portrayed character type. These findings indicate that intentions and social traits are communicated effectively via specific sets of body motion features. Furthermore, these results have important implications for the design of the motion of virtual characters to convey desired social information.
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昂首阔步的英雄,鬼鬼祟祟的恶棍:利用身体动作线索预测他人的意图
我们需要更好地理解玩家是如何从身体动作中感知意图和特征的,从而设计出更有效的虚拟角色,让它们以一种社会现实的方式行事。为此,从人类动作中捕捉到的逼真的身体动作,在游戏和娱乐中被更频繁地用于创造具有自然动画的角色。然而,程序员和设计师并不总是清楚哪些特定的动作参数最能传达特定的信息,如某些情感、意图或特征。我们进行了两个实验来研究演员的感知特征是否可以从他们的身体动作中确定,以及这些特征是否与他们的感知意图有关。我们首先记录了26位专业演员的身体动作,他们被指示以“英雄”或“恶棍”的方式移动。在第一个实验中,190名参与者观看了这些演员的个人录像,并被要求根据一系列不同的认知维度(意图、吸引力、支配性、可信度和独特性)对身体运动刺激进行评分。观察者之间的主体间评分是高度一致的,这表明社会特征很容易从身体运动中确定。此外,这些评级之间的相关性分析揭示了特质之间的一致关联,例如,感知到的“好”意图与较高的吸引力和支配性评级相关。实验二旨在阐明定性的身体动作线索,这些线索对于从英雄和恶棍样的身体动作中确定特定的意图和特征至关重要。结果显示,不同的身体动作很容易与“好”或“坏”意图的感知联系起来。此外,回归分析显示,这些评分准确地预测了所描绘的角色类型的感知。这些发现表明,意图和社会特征是通过特定的身体动作特征进行有效沟通的。此外,这些结果对于设计虚拟人物的动作来传达期望的社会信息具有重要的意义。
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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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