2020
DOI: 10.3389/fpsyg.2020.00117
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Biomorphic Clothing Sculpture Interface as an Emotional Communication Space

Abstract: This study found that clothing, combined with digital technology, can be a wearable computer that adapts to environmental change and increases biological limits, as well as an emotional space to which art and design are applied, and that promotes mutual communication. A user-friendly interface is proposed for those pursuing a new artistic experience by building a conceptual algorithm for biomorphic clothing sculpture modeling that can be used to create generative designs simply by entering moderated mediator v… Show more

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Cited by 3 publications
(1 citation statement)
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References 40 publications
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“…The generated algorithm can create and transform various instances by adjusting the original parameters such as the position, scale, and angle of the shape according to the concept, and the user can obtain an output suitable for the intention through simulation [38]. Yoo et al said that a parametric design process based on the geometric principle of morphogenetic technique and the aesthetics obtained from nature can bring about this creative design result [39]. In this study, by using cloud technology to store modeled data, Fusion 360, which has the advantage of being easy to share with collaborators, was used as software.…”
Section: Parametric Designmentioning
confidence: 99%
“…The generated algorithm can create and transform various instances by adjusting the original parameters such as the position, scale, and angle of the shape according to the concept, and the user can obtain an output suitable for the intention through simulation [38]. Yoo et al said that a parametric design process based on the geometric principle of morphogenetic technique and the aesthetics obtained from nature can bring about this creative design result [39]. In this study, by using cloud technology to store modeled data, Fusion 360, which has the advantage of being easy to share with collaborators, was used as software.…”
Section: Parametric Designmentioning
confidence: 99%