测量全身联合运动中的领导力、凝聚力和流畅性线索,以支持体现式交互设计:试点研究

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-06-21 DOI:10.1155/2024/1636854
Giorgio Gnecco, Antonio Camurri, Cora Gasparotti, Eleonora Ceccaldi, Gualtiero Volpe, Benoît Bardy, Marta Bieńkiewicz, Stefan Janaqi
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引用次数: 0

摘要

人体运动分析的创新应用,例如减轻/减缓某些病理状况,最近出现在对全身具有表现力的中层个体和群体运动质量的建模和自动测量中,其复杂程度高于直接从物理信号中获得的运动质量,但仍不能以特定方式描述任何手势。更广泛地说,中层表现性动作特质自动分析技术的可用性有助于在交互设计中融入受舞蹈和音乐艺术理论启发的基于身体的表演实践。这项研究通过自动测量群体环境中全身运动的领导力、凝聚力和流畅性线索,探讨这些实践和技术如何支持体现式交互设计。特别要说明的是,这项研究采用了舞蹈启发的科学方法、数据收集协议和分析技术,用于评估与领导力、团体内部凝聚力和舞者全身运动的流畅性有关的运动品质。最后,概述了这项研究的未来发展。
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Measuring Cues of Leadership, Cohesion, and Fluidity in Joint Full-Body Movement to Support Embodied Interaction Design: A Pilot Study

Innovative applications of human movement analysis, for example, for mitigating/slowing down certain pathological conditions, have recently emerged from the modeling and automated measurement of full-body expressive midlevel individual and group movement qualities, at a higher complexity level than movement qualities derived directly from physical signals, still not characterizing any gesture in a specific way. More in general, the availability of automated analysis techniques of midlevel expressive movement qualities can contribute to interaction design incorporating body-based performance practices inspired by artistic theories in dance and music. This work investigates how such practices and techniques can support embodied interaction design by enabling automated measuring of cues of leadership, cohesion, and fluidity in full-body movement in group settings. In particular, the dance-inspired scientific approach, the data collection protocol, and the analysis techniques adopted for assessing movement qualities connected to leadership and cohesion within the group and fluidity of the dancers’ full-body movement are described. Finally, future developments of this research are outlined.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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