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Prospects of intuitive interaction modeling in automated shape generation

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Prospects of Intuitive Interaction Modeling.pdf (546.6Kb)
Date
2022
Author
Žukas, Jonas
Gaitanži, Konstantin
Zabulionis, Darius
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Abstract
In this article, authors discuss new possibilities for the spatial design universal aesthetic development. Creative artistic means are conditioned by the human ability to comprehend and interpret objects in a particular context. Ideas of arts and science coexistence have been relevant since antiquity. The 20th century, especially the Bauhaus movement, gave a rational basis for conjoining artistic inspiration with the parametric constraints. Contemporary digital technologies provide new possibilities to enhance human creative potential by employing scientific methods. In search of material environment evaluation reference points, it is important to establish a robust connection of human mind and physical world. Subjectivity and intersubjectivity of experiences raise issues in human perception studies, involving both phenomenal and material processes. Embodied cognition reveals itself as an intuitive experience or discovery which provides a new perspective for the creative application. The authors aim to investigate the creative opportunities of automated shape generation systems. The main issue is to find a universal application of creative process analysis. Parametric constraints offer the opportunity to use statistical tools in art practice. These constraints are based on embodied cognition capabilities. Combined methods of qualitative and quantitative evaluation help to assess the contextual relevance of the object and to determine the cultural and pragmatic effectiveness of automated design solutions. The study offers theoretical and applied cross-disciplinary research direction to discover new creative means in material environment design, including architecture and urban planning.
Issue date (year)
2022
URI
https://etalpykla.vilniustech.lt/handle/123456789/112891
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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