第二届运动与计算国际研讨会论文集

S. Alaoui, Philippe Pasquier, T. Schiphorst, Jules Françoise, Frédéric Bevilacqua
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引用次数: 3

摘要

MOCO是关于运动和计算的国际研讨会。MOCO旨在聚集对计算研究、建模、表示、分割、识别、分类或生成运动信息感兴趣的学者和实践者。MOCO定位于艺术与科学之间的新兴跨学科领域。研讨会参考了在计算模型中表示具体运动知识的挑战,但它也庆祝运动中作为一种语言的固有表达。虽然人类运动本身关注的是身体体验,但开发运动的计算模型需要对活生生的具象认知进行抽象和表征。在运动及其丰富的个人和文化意义之间选择合适的模型一直是运动互动研究的挑战。许多领域,包括交互设计、人机交互、教育和机器学习,都受到神经科学最近的发展的启发,这些发展证实了运动在认知发展和人类智力中的首要地位。这引发了人们对运动意识和正念的经验原理的兴趣,同时也推动了对开发能够更严格地描述运动智能的计算模型的需求。本次会议旨在探索运动经验和运动认知和计算表征之间平等和丰富细致的认识论伙伴关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proceedings of the 2nd International Workshop on Movement and Computing
MOCO is the International Workshop on movement and computing. MOCO aims to gather academics and practitioners interested in the computational study, modelling, representation, segmentation, recognition, classification, or generation of movement information. MOCO is positioned within emerging interdisciplinary domains between art & science. The workshop references the challenge of representing embodied movement knowledge within computational models, yet it also celebrates the inherent expression available within movement as a language. While human movement itself focuses on bodily experience, developing computational models for movement requires abstraction and representation of lived embodied cognition. Selecting appropriate models between movement and its rich personal and cultural meanings remains a challenge in movement interaction research. Many fields, including Interaction Design, HCI, Education and Machine Learning have been inspired by recent developments within Neuroscience validating the primacy of movement in cognitive development and human intelligence. This has spawned a growing interest in experiential principles of movement awareness and mindfulness, while simultaneously fueling the need for developing computational models that can describe movement intelligence with greater rigour. This conference seeks to explore an equal and richly nuanced epistemological partnership between movement experience and movement cognition and computational representation.
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