Using Artificial Intelligence Tools to Enhance Palestinian Cultural Identity in Residential Interior Spaces
Publication Type
Original research
Authors
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This research aims to study the role of artificial intelligence (AI) technologies in enhancing the determinants of Palestinian cultural identity through the design of residential interior spaces, in light of the challenges posed by globalization and technological development. The study highlights how AI tools such as machine learning printing can be used to analyze and document Palestinian heritage and apply it to interior design. It also seeks to find innovative solutions that preserve the Palestinian cultural character while integrating modern innovations in interior design. The research follows an analytical and descriptive methodology, examining the applications of AI in interior design, with a focus on studying cases and documenting design experiences related to Palestinian identity. Data analysis and AI techniques are used to understand the impact of cultural factors on the selection of colors, patterns, and materials used in interior spaces. The research also analyzes the interaction between these technologies and the needs of the Palestinian community in preserving its cultural heritage within residential spaces. The research concludes that AI can play a key role in preserving Palestinian cultural identity through innovative designs that combine heritage and modernity. The results show that integrating AI with traditional techniques enhances the sustainability of Palestinian cultural heritage and achieves a balance between modernity and tradition. It is recommended to expand the use of these technologies in interior design projects aimed at enhancing cultural identity, and to develop educational programs for interior designers to enable them to use AI effectively in preserving cultural heritage

Journal
Title
مجلة جامعة النجاح للأبحاث - العلوم الإنسانية
Publisher
An-Najah National University
Publisher Country
Palestine
Indexing
Scopus
Impact Factor
0.5
Publication Type
Both (Printed and Online)
Volume
--
Year
2025
Pages
421 - 432