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Interactive Sonification of Spontaneous Movement of Children—Cross-Modal Mapping and the Perception of Body Movement Qualities through Sound

机译:儿童自发运动的交互声化—跨模态映射和声音对身体运动素质的感知

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摘要

In this paper we present three studies focusing on the effect of different sound models in interactive sonification of bodily movement. We hypothesized that a sound model characterized by continuous smooth sounds would be associated with other movement characteristics than a model characterized by abrupt variation in amplitude and that these associations could be reflected in spontaneous movement characteristics. Three subsequent studies were conducted to investigate the relationship between properties of bodily movement and sound: (1) a motion capture experiment involving interactive sonification of a group of children spontaneously moving in a room, (2) an experiment involving perceptual ratings of sonified movement data and (3) an experiment involving matching between sonified movements and their visualizations in the form of abstract drawings. In (1) we used a system constituting of 17 IR cameras tracking passive reflective markers. The head positions in the horizontal plane of 3–4 children were simultaneously tracked and sonified, producing 3–4 sound sources spatially displayed through an 8-channel loudspeaker system. We analyzed children's spontaneous movement in terms of energy-, smoothness- and directness-index. Despite large inter-participant variability and group-specific effects caused by interaction among children when engaging in the spontaneous movement task, we found a small but significant effect of sound model. Results from (2) indicate that different sound models can be rated differently on a set of motion-related perceptual scales (e.g., expressivity and fluidity). Also, results imply that audio-only stimuli can evoke stronger perceived properties of movement (e.g., energetic, impulsive) than stimuli involving both audio and video representations. Findings in (3) suggest that sounds portraying bodily movement can be represented using abstract drawings in a meaningful way. We argue that the results from these studies support the existence of a cross-modal mapping of body motion qualities from bodily movement to sounds. Sound can be translated and understood from bodily motion, conveyed through sound visualizations in the shape of drawings and translated back from sound visualizations to audio. The work underlines the potential of using interactive sonification to communicate high-level features of human movement data.
机译:在本文中,我们提出了三项研究,重点研究了不同声音模型在身体运动的交互声化中的作用。我们假设,以连续的平稳声音为特征的声音模型将与其他运动特征相关联,而不是与振幅突然变化为特征的模型相关联,并且这些关联可以反映在自发运动特征中。随后进行了三项研究,以研究身体运动特性与声音之间的关系:(1)运动捕获实验,涉及对一群自发地在房间里移动的孩子进行交互声波;(2)实验,涉及对声波运动数据的感知评分(3)以抽象绘画的形式进行的声音运动与其可视化效果之间的匹配实验。在(1)中,我们使用了由17个红外摄像机组成的系统,该摄像机跟踪无源反射标记。同时跟踪和超声检测3–4个孩子在水平面中的头部位置,并通过8声道扬声器系统产生3–4个声源的空间显示。我们从能量,平滑度和直接性指标的角度分析了儿童的自发运动。尽管参加自发运动任务时儿童之间的互动会导致较大的参与者间差异和特定群体的影响,但我们发现声音模型的影响很小但很明显。 (2)的结果表明,不同的声音模型可以在一组与运动相关的感知尺度上(例如,表现力和流动性)得到不同的评级。而且,结果暗示,与同时涉及音频和视频表示的刺激相比,仅音频的刺激可以唤起更强的运动感知性能(例如,精力充沛,冲动)。 (3)中的发现表明,刻画身体运动的声音可以用抽象绘画以有意义的方式表示。我们认为,这些研究的结果支持从身体运动到声音的身体运动质量的交叉模式映射的存在。声音可以通过身体运动进行翻译和理解,通过声音可视化以图形的形式传达,然后从声音可视化转换回音频。这项工作强调了使用交互式声波技术传达人类运动数据的高级特征的潜力。

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