A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902294111453184 |
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| author | Hui, Guo Aris, Asliza Rusli, Rose Dahlina |
| author_facet | Hui, Guo Aris, Asliza Rusli, Rose Dahlina |
| contents | <p><strong>Abstract<br>The Challenge:</strong> Digital fashion design frequently depends on intuitive and unstructured workflows, complicating the attainment of both efficiency and creative consistency. This study presents the Element Shift Method, a computational-thinking digital workflow, and assesses its effect on design performance. Eighteen designers, comprising six sophomores, six seniors, and six professionals, developed a five-look collection offline utilising standard industry software. Their screen recordings and retrospective interviews were analysed using a custom diagram that illustrated abstraction, decomposition, pattern recognition, and algorithmic thinking. <strong>Results: </strong>Professional designers completed their collections more rapidly (170 minutes compared to 210 minutes) than student groups and received superior expert evaluations (4.5 versus 3.7 on a 5-point scale), demonstrating that the Element Shift Method decreases design duration while improving thematic coherence and stylistic diversity. The technique presents a scalable instrument for fashion design education and practice, delivering a structured yet adaptable framework that systematically fosters creativity and enhances workflow efficiency.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15587203 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING Hui, Guo Aris, Asliza Rusli, Rose Dahlina Design Methodology Design Process Series Fashion Design Computational Thinking Element Shift Method <p><strong>Abstract<br>The Challenge:</strong> Digital fashion design frequently depends on intuitive and unstructured workflows, complicating the attainment of both efficiency and creative consistency. This study presents the Element Shift Method, a computational-thinking digital workflow, and assesses its effect on design performance. Eighteen designers, comprising six sophomores, six seniors, and six professionals, developed a five-look collection offline utilising standard industry software. Their screen recordings and retrospective interviews were analysed using a custom diagram that illustrated abstraction, decomposition, pattern recognition, and algorithmic thinking. <strong>Results: </strong>Professional designers completed their collections more rapidly (170 minutes compared to 210 minutes) than student groups and received superior expert evaluations (4.5 versus 3.7 on a 5-point scale), demonstrating that the Element Shift Method decreases design duration while improving thematic coherence and stylistic diversity. The technique presents a scalable instrument for fashion design education and practice, delivering a structured yet adaptable framework that systematically fosters creativity and enhances workflow efficiency.</p> |
| title | A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING |
| topic | Design Methodology Design Process Series Fashion Design Computational Thinking Element Shift Method |
| url | https://doi.org/10.5281/zenodo.15587203 |