GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS
Culture, as the core dimension for value manifestation in generative design, exerts decisive influence on design morphology through its spatiotemporal attributes and structural characteristics. Within contemporary cultural contexts, generative design exhibits dynamic volatility: temporally, it manif...
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| Format: | Article |
| Language: | English |
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Science and Innovation Center Publishing House
2025-03-01
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| Series: | Russian Studies in Culture and Society |
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| Online Access: | https://csjournal.ru/jour/index.php/rscs/article/view/274 |
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| author | Wei Weng |
| author_facet | Wei Weng |
| author_sort | Wei Weng |
| collection | DOAJ |
| description | Culture, as the core dimension for value manifestation in generative design, exerts decisive influence on design morphology through its spatiotemporal attributes and structural characteristics. Within contemporary cultural contexts, generative design exhibits dynamic volatility: temporally, it manifests as a dialectical unity between functional iteration and spiritual inheritance; spatially, it forms an interplay between the embeddedness of local cultures and the perceptibility of globalization; and systemically, it confronts the evolutionary challenge of transitioning from static to dynamic paradigms in image dissemination during the internet era. This study aims to construct a culturally driven value assessment system for generative design, focusing on two core objectives: first, breaking down semantic exchange barriers between professional and non-professional groups, and second, establishing a quantifiable measurement model for generative design’s value dimensions. Under the theoretical framework of cultural volatility, a mixed-methods approach is adopted: Cultural Element Deconstruction: Applying grounded theory to decode design samples, building analytical models for temporal volatility, spatial volatility, and internal-external volatility; Value Matrix Construction. The study found that: 1) cultural volatility drives design evolution through the ‘function-spirit’ double helix structure; 2) the cultural adaptability of generative design in the spatial dimension verifies the dynamic balance mechanism between localisation and globalisation. This research advances a systematic methodology for evaluating generative design’s cultural value, offering insights for balancing technological innovation with cultural sustainability in AI-augmented design ecosystems.
EDN: QJGVCA |
| format | Article |
| id | doaj-art-61d2ccdf631d40efb8ea62ca73a42bfd |
| institution | OA Journals |
| issn | 2576-9782 2998-8292 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Science and Innovation Center Publishing House |
| record_format | Article |
| series | Russian Studies in Culture and Society |
| spelling | doaj-art-61d2ccdf631d40efb8ea62ca73a42bfd2025-08-20T02:19:07ZengScience and Innovation Center Publishing HouseRussian Studies in Culture and Society2576-97822998-82922025-03-019110312010.12731/2576-9782-2025-9-1-274274GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICSWei Weng0Tomsk State UniversityCulture, as the core dimension for value manifestation in generative design, exerts decisive influence on design morphology through its spatiotemporal attributes and structural characteristics. Within contemporary cultural contexts, generative design exhibits dynamic volatility: temporally, it manifests as a dialectical unity between functional iteration and spiritual inheritance; spatially, it forms an interplay between the embeddedness of local cultures and the perceptibility of globalization; and systemically, it confronts the evolutionary challenge of transitioning from static to dynamic paradigms in image dissemination during the internet era. This study aims to construct a culturally driven value assessment system for generative design, focusing on two core objectives: first, breaking down semantic exchange barriers between professional and non-professional groups, and second, establishing a quantifiable measurement model for generative design’s value dimensions. Under the theoretical framework of cultural volatility, a mixed-methods approach is adopted: Cultural Element Deconstruction: Applying grounded theory to decode design samples, building analytical models for temporal volatility, spatial volatility, and internal-external volatility; Value Matrix Construction. The study found that: 1) cultural volatility drives design evolution through the ‘function-spirit’ double helix structure; 2) the cultural adaptability of generative design in the spatial dimension verifies the dynamic balance mechanism between localisation and globalisation. This research advances a systematic methodology for evaluating generative design’s cultural value, offering insights for balancing technological innovation with cultural sustainability in AI-augmented design ecosystems. EDN: QJGVCAhttps://csjournal.ru/jour/index.php/rscs/article/view/274culturegenerative designspatiotemporal dynamicsvalue metrics |
| spellingShingle | Wei Weng GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS Russian Studies in Culture and Society culture generative design spatiotemporal dynamics value metrics |
| title | GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS |
| title_full | GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS |
| title_fullStr | GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS |
| title_full_unstemmed | GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS |
| title_short | GENERATIVE DESIGN IN CULTURAL FLUX: SPATIOTEMPORAL DYNAMICS AND VALUE METRICS |
| title_sort | generative design in cultural flux spatiotemporal dynamics and value metrics |
| topic | culture generative design spatiotemporal dynamics value metrics |
| url | https://csjournal.ru/jour/index.php/rscs/article/view/274 |
| work_keys_str_mv | AT weiweng generativedesigninculturalfluxspatiotemporaldynamicsandvaluemetrics |