通过全身运动素质对情绪和个性的感知:一个体育教练的案例研究

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:10.1145/2791294
Tom Giraud, Florian Focone, Virginie Demulier, Jean-Claude Martin, B. Isableu
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引用次数: 5

摘要

虚拟体育教练指导用户进行体育活动,并提供激励支持。如果虚拟教练的动作过于刻板,用户的积极性就会迅速下降。在执行预定义的健身运动时生成的运动学模式可以引发并帮助延长用户的交互和对训练的兴趣。人体运动学已被证明可以传达各种社会属性,如性别、身份和行为情感。到目前为止,还没有研究提供关于如何从全身运动中感知自发情绪和人格特征的信息。在本文中,我们研究了人们如何从人类教练在执行健身序列时产生的运动学模式中对他们的自发情感维度和人格特征做出可靠的推断。运动通过虚拟人体模型呈现给参与者,以隔离运动学对感知的影响。根据Laban[1950]提出的effort-shape [Dell 1977]符号,从运动质量的角度分析了生物运动的运动学模式。我们进行了三项研究,以分析导致感知的过程:从教练的状态和特征到身体动作,再到观察者的社会感知。32名参与者(即观察者)被要求从56个健身动作序列中对虚拟人体模型的动作进行评分,包括传达的情感维度、人格特征(人格五因素模型)和感知的动作质量(努力-形状)。结果显示,大多数评估维度的可靠性很高,证实了观察者之间的一致,从运动学在零认识。一个巨大的表达光环融合了情感(例如,感知强度)和个性(例如,外向性),由感知到的运动冲动和能量驱动。观察者对情绪维度的感知部分准确,而对人格特质的感知不准确。综上所述,这些结果有助于通过运动来理解社会感知的维度,并有助于设计富有表现力的虚拟运动教练。
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Perception of Emotion and Personality through Full-Body Movement Qualities: A Sport Coach Case Study
Virtual sport coaches guide users through their physical activity and provide motivational support. Users’ motivation can rapidly decay if the movements of the virtual coach are too stereotyped. Kinematic patterns generated while performing a predefined fitness movement can elicit and help to prolong users’ interaction and interest in training. Human body kinematics has been shown to convey various social attributes such as gender, identity, and acted emotions. To date, no study provides information regarding how spontaneous emotions and personality traits together are perceived from full-body movements. In this article, we study how people make reliable inferences regarding spontaneous emotional dimensions and personality traits of human coaches from kinematic patterns they produced when performing a fitness sequence. Movements were presented to participants via a virtual mannequin to isolate the influence of kinematics on perception. Kinematic patterns of biological movement were analyzed in terms of movement qualities according to the effort-shape [Dell 1977] notation proposed by Laban [1950]. Three studies were performed to provide an analysis of the process leading to perception: from coaches’ states and traits through bodily movements to observers’ social perception. Thirty-two participants (i.e., observers) were asked to rate the movements of the virtual mannequin in terms of conveyed emotion dimensions, personality traits (five-factor model of personality), and perceived movement qualities (effort-shape) from 56 fitness movement sequences. The results showed high reliability for most of the evaluated dimensions, confirming interobserver agreement from kinematics at zero acquaintance. A large expressive halo merging emotional (e.g., perceived intensity) and personality aspects (e.g., extraversion) was found, driven by perceived kinematic impulsivity and energy. Observers’ perceptions were partially accurate for emotion dimensions and were not accurate for personality traits. Together, these results contribute to both the understanding of dimensions of social perception through movement and the design of expressive virtual sport coaches.
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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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