{"id":3310,"date":"2026-08-02T14:48:48","date_gmt":"2026-08-02T14:48:48","guid":{"rendered":"https:\/\/research.anasacademy.uk\/the-impact-of-artificial-intelligence-on-visual-identity-design-between-innovation-and-reproducing-patterns\/"},"modified":"2026-08-03T10:52:14","modified_gmt":"2026-08-03T10:52:14","slug":"the-impact-of-artificial-intelligence-on-visual-identity-design-between-innovation-and-reproducing-patterns","status":"publish","type":"post","link":"https:\/\/research.anasacademy.uk\/en\/the-impact-of-artificial-intelligence-on-visual-identity-design-between-innovation-and-reproducing-patterns\/","title":{"rendered":"The impact of artificial intelligence on visual identity design between innovation and reproducing patterns"},"content":{"rendered":"<p>This study aimed to explore the impact of generative artificial intelligence tools on visual identity design through an actual applied experiment and a specialized field evaluation. <\/p>\n<p>The study adopted the quasi-experimental, descriptive, and comparative approach. Seven AI platforms were tested, and three complete Arabic visual identity projects were developed: Midad for Digital Education, Wajha for Tourism, and Sa\u2018ah for the Contemporary Saudi Caf\u00e9. These projects were evaluated by 124 designers and specialists through a questionnaire comprising 12 evaluation criteria, and the data were analyzed using SPSS.       <\/p>\n<p>The results revealed a consistent and clear pattern across the three projects: AI outputs excelled in execution efficiency\u2014such as color consistency, visual output, and ease of application\u2014with means ranging between 3.43 and 4.08, while showing a noticeable weakness in originality and competitive distinctiveness, with means dropping to 2.75. The overall mean for the three projects was 3.45, rated as &#8220;Very Good&#8221;. The study also identified a structural shortcoming in handling geometric Arabic calligraphy. One-way ANOVA showed that years of experience do not affect evaluative judgments (Sig. = 0.410), which enhances the reliability of the results and confirms their homogeneity.      <\/p>\n<p>The study concluded that generative AI is an excellent execution facilitator but not an independent innovator, and that its optimal use is as a supporting tool in the brainstorming stage rather than a final product delivered without creative human review. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>This study aimed to explore the impact of generative artificial intelligence tools on visual identity design through an actual applied experiment and a specialized field evaluation. The study adopted the quasi-experimental, descriptive, and comparative approach. Seven AI platforms were tested, and three complete Arabic visual identity projects were developed: Midad for Digital Education, Wajha for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_pingme":["1"],"_encloseme":["1"],"_last_translation_edit_mode":["translation-editor"],"research_file":["https:\/\/research.anasacademy.uk\/wp-content\/uploads\/2026\/08\/thesis-b6ce9bf7.pdf"],"_top_nav_excluded":[""],"_cms_nav_minihome":[""],"_wpml_word_count":["282"],"title":["The impact of artificial intelligence on visual identity design between innovation and reproducing patterns"],"keywords":["Artificial intelligence tools in visual identity design; the use of artificial intelligence in design "],"abstract":["This study aimed to explore the impact of generative artificial intelligence tools on visual identity design through an actual applied experiment and a specialized field evaluation. \n\nThe study adopted the quasi-experimental, descriptive, and comparative approach. Seven AI platforms were tested, and three complete Arabic visual identity projects were developed: Midad for Digital Education, Wajha for Tourism, and Sa\u2018ah for the Contemporary Saudi Caf\u00e9. These projects were evaluated by 124 designers and specialists through a questionnaire comprising 12 evaluation criteria, and the data were analyzed using SPSS.       \n\nThe results revealed a consistent and clear pattern across the three projects: AI outputs excelled in execution efficiency\u2014such as color consistency, visual output, and ease of application\u2014with means ranging between 3.43 and 4.08, while showing a noticeable weakness in originality and competitive distinctiveness, with means dropping to 2.75. The overall mean for the three projects was 3.45, rated as \"Very Good\". The study also identified a structural shortcoming in handling geometric Arabic calligraphy. One-way ANOVA showed that years of experience do not affect evaluative judgments (Sig. = 0.410), which enhances the reliability of the results and confirms their homogeneity.      \n\nThe study concluded that generative AI is an excellent execution facilitator but not an independent innovator, and that its optimal use is as a supporting tool in the brainstorming stage rather than a final product delivered without creative human review. "],"author":["Nada Fathi Al-Madhoun"],"publish_date":["2026"],"supervisor":["Abdullah Elnaqlah (trainer)"],"source":["lms.anasacademy.uk"],"apa":["Nada Fathi Al-Madhoun. (2026). The impact of artificial intelligence on visual identity design between innovation and reproducing patterns [Master\u2019s thesis, Anas Academy]. Anas Academy Research Repository. https:\/\/research.anasacademy.uk   "],"major":["Master of Visual Brand Design"],"project_type":["Master's Thesis"],"_elementor_global_class_usage_indexed":["1"],"_research_code":["GEN-2026-028"],"magzin_post_views":["22"],"post_views_count":["22"],"_research_stamp_cache":["0992ffd0fc71133b03e77323e8a2bf38"],"_elementor_page_assets":["a:0:{}"]},"categories":[163],"tags":[],"class_list":["post-3310","post","type-post","status-publish","format-standard","hentry","category-master-of-visual-brand-design"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"This study aimed to explore the impact of generative artificial intelligence tools on visual identity design through an actual applied experiment and a specialized field evaluation. The study adopted the quasi-experimental, descriptive, and comparative approach. 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