Employing Artificial Intelligence to Design Clothing Inspired by the Najdi Art of Sadu
Objectives This study aims to design women’s dresses inspired by digital patterns of Najdi Sadu art, using an innovative approach based on artificial intelligence and specialized fashion design software. Methods The research employed a descriptive-analytical approach to describe and analyze the heritage background of Sadu textile, its manufacturing methods, the materials used in its production, its symbolic meanings, and the importance of these heritage symbols. The study also applied experimental research using artificial intelligence tools to innovate contemporary clothing designs inspired by Najdi Sadu. The study sample included six experts in the field of fashion design to evaluate the proposed digital fashion designs. A questionnaire was used as a tool to obtain the opinions of experts on the proposed designs. Results: The findings showed that Design 3 excelled in the aesthetic aspect, obtaining the highest relative weight percentage of 95%. In terms of functionality, Design 3 also stood out with a relative weight percentage of 94%, followed by Design 2 with 87%. The remaining design options obtained relative weight percentages ranging from 73.23% to 46.43%, indicating a moderate level of quality. Conclusions: This research demonstrates the successful use of artificial intelligence as a transformative tool in designing clothing inspired by Sadu art, effectively embodying both its aesthetic value and functional aspects. By harnessing the power of artificial intelligence, we not only ensure the preservation of traditional arts such as Sadu weaving but also pave the way for the sustainable production of culturally significant clothing.
Authors
- Basmah Abdulmohsen Omran Alshaikh Basmah Abdulmohsen Omran Alshaikh (ORCID: https://orcid.org/0009-0003-2226-6918)
- Nebras Ahmed Mohamed (ORCID: https://orcid.org/0009-0009-9629-8692)
Institutions
- King Abdulaziz University (SA)
Publication Details
- Journal
- Dirasat Human and Social Sciences
- Published
- 2025-02-20
- DOI
- https://doi.org/10.35516/hum.v52i3.6626
- Citations
- 1
- Primary Topic
- Public Spaces through Art
- Type
- article
- Field-Weighted Citation Impact
- 6.18