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            <front>

                <journal-meta>
                                                                <journal-id>jista</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Journal of Intelligent Systems: Theory and Applications</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2651-3927</issn>
                                                                                            <publisher>
                    <publisher-name>Özer UYGUN</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.38016/jista.1677535</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Evolutionary Computation</subject>
                                                            <subject>Modelling and Simulation</subject>
                                                            <subject>Artificial Reality</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Evrimsel Hesaplama</subject>
                                                            <subject>Modelleme ve Simülasyon</subject>
                                                            <subject>Sanal Gerçeklik</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="tr">
                                    <trans-title>Yapay Zekâ Destekli Üretken Tasarımla Endüstriyel Ürün Estetiği, Ergonomisi ve Kullanılabilirliğinin Geliştirilmesi</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-5531-3539</contrib-id>
                                                                <name>
                                    <surname>Özsoy</surname>
                                    <given-names>Hüseyin Özkal</given-names>
                                </name>
                                                                    <aff>MİMAR SİNAN GÜZEL SANATLAR ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20250929">
                    <day>09</day>
                    <month>29</month>
                    <year>2025</year>
                </pub-date>
                                        <volume>8</volume>
                                        <issue>2</issue>
                                        <fpage>141</fpage>
                                        <lpage>155</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20250416">
                        <day>04</day>
                        <month>16</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20250718">
                        <day>07</day>
                        <month>18</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2018, Journal of Intelligent Systems: Theory and Applications</copyright-statement>
                    <copyright-year>2018</copyright-year>
                    <copyright-holder>Journal of Intelligent Systems: Theory and Applications</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Generative design is an AI-driven process that utilizes algorithms to generate, evaluate, and optimize multiple design solutions based on predefined constraints. This study explores the impact of AI-driven generative design on home appliances&#039; aesthetics, ergonomics, and usability. To achieve this, a mixed-methods approach was adopted, incorporating a literature review, workshop study, and an investigation of user feedback gathered from 30 participants, including industrial design students, engineering students, and users. These participants evaluated AI-generated designs from their perspectives, focusing on visual appeal, comfort, and ease of use. Generative design software was used to investigate alternative design solutions, such as product forms and control placement positions. The findings indicate that AI-generated designs improve visual appeal and contribute to a more intuitive user experience. However, it was observed that AI-generated designs occasionally prioritized aesthetics over practicality, leading to usability concerns and requiring further refinement to align with real-world manufacturing constraints. The study concludes that while generative design is a valuable tool for enhancing home appliance design, its effectiveness depends on balancing AI-driven optimization with practical considerations.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="tr">
                            <p>Üretken tasarım, önceden tanımlanmış kısıtlamalara dayanarak çoklu tasarım çözümleri üreten, değerlendiren ve optimize eden algoritmalar kullanan yapay zekâ destekli bir süreçtir. Bu çalışma, yapay zekâ destekli üretken tasarımın ev aletlerinin estetiği, ergonomisi ve kullanılabilirliği üzerindeki etkisini araştırmaktadır. Bu amacı gerçekleştirmek için, literatür taraması, atölye çalışması ve 30 katılımcıdan (endüstriyel tasarım öğrencileri, mühendislik öğrencileri ve son kullanıcılar) elde edilen kullanıcı geri bildirimlerinin incelendiği karma yöntemli bir yaklaşım benimsenmiştir. Katılımcılar, görsel çekicilik, konfor ve kullanım kolaylığına odaklanarak YZ tarafından üretilen tasarımları kendi bakış açılarıyla değerlendirmiştir. Ürün formları ve kontrol yerleşimleri gibi alternatif tasarım çözümlerini incelemek amacıyla üretken tasarım yazılımı kullanılmıştır. Bulgular, yapay zekâ ile üretilen tasarımların görsel çekiciliği artırdığını ve daha sezgisel bir kullanıcı deneyimine katkıda bulunduğunu göstermektedir. Ancak, YZ tarafından üretilen tasarımların zaman zaman estetiği işlevselliğin önüne koyduğu, bu nedenle kullanılabilirlik sorunlarına yol açtığı ve gerçek dünya üretim kısıtlarıyla uyum sağlamak için ek düzenlemeler gerektirdiği gözlemlenmiştir. Çalışma, üretken tasarımın ev aletleri tasarımını geliştirmek için değerli bir araç olduğunu; ancak etkinliğinin, YZ destekli optimizasyon ile pratik gereksinimler arasında kurulacak dengeye bağlı olduğunu ortaya koymaktadır.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Artificial Intelligence</kwd>
                                                    <kwd>  Creativity and Efficiency</kwd>
                                                    <kwd>  Design Optimization</kwd>
                                                    <kwd>  Generative Design</kwd>
                                                    <kwd>  Industrial Product Design</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="tr">
                                                    <kwd>Endüstriyel Ürün Tasarımı</kwd>
                                                    <kwd>  Tasarım Optimizasyonu</kwd>
                                                    <kwd>  üretken tasarım</kwd>
                                                    <kwd>  Yapay Zekâ</kwd>
                                                    <kwd>  Yaratıcılık ve Verimlilik</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
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