Araştırma Makalesi

Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design

Cilt: 8 Sayı: 2 29 Eylül 2025
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Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design

Öz

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' 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.

Anahtar Kelimeler

Etik Beyan

All procedures followed were in accordance with the ethical standards.

Kaynakça

  1. Agboola, O.P., 2024. The Role of Artificial Intelligence in Enhancing Design Innovation and Sustainability. Smart Des. Policies 1, 6–14. https://doi.org/10.38027/smart-v1n1-2
  2. Badke-Schaub, P., Eris, O., 2014. A Theoretical Approach to Intuition in Design: Does Design Methodology Need to Account for Unconscious Processes?, in: Chakrabarti, A., Blessing, L.T.M. (Eds.), An Anthology of Theories and Models of Design: Philosophy, Approaches and Empirical Explorations. Springer, London, pp. 353–370. https://doi.org/10.1007/978-1-4471-6338-1_17
  3. Balakrishnan, A., Najana, M., 2024. AI-Powered Creativity and Date-Driven Design. https://doi.org/10.2139/ssrn.4907300
  4. Balamurugan, M., Ramamoorthy, L., 2025. Transformative Intelligence: AI and Generative Models as Catalysts For Creative Problem-Solving in Complex Environments 7, 7. https://doi.org/10.36948/ijfmr.2025.v07i02.38404
  5. Batterton, K.A., Hale, K.N., 2017. The Likert Scale What It Is and How To Use It. Phalanx 50, 32–39.
  6. Boggs, C., 2010. Mock-ups in design : the implications of utlizing [sic] a mock-up review process in professional practice. FIU Electron. Theses Diss. https://doi.org/10.25148/etd.FI14051179
  7. Burlin, C., 2023. Explainability to enhance creativity : A human-centered approach to prompt engineering and task allocation in text-to-image models for design purposes.
  8. Channi, H.K., Kaur, A., Kaur, S., 2025. AI-Driven Generative Design Redefines the Engineering Process, in: Generative Artificial Intelligence in Finance. John Wiley & Sons, Ltd, pp. 327–359. https://doi.org/10.1002/9781394271078.ch17

Ayrıntılar

Birincil Dil

İngilizce

Konular

Evrimsel Hesaplama, Modelleme ve Simülasyon, Sanal Gerçeklik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

29 Eylül 2025

Gönderilme Tarihi

16 Nisan 2025

Kabul Tarihi

18 Temmuz 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA
Özsoy, H. Ö. (2025). Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design. Journal of Intelligent Systems: Theory and Applications, 8(2), 141-155. https://doi.org/10.38016/jista.1677535
AMA
1.Özsoy HÖ. Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design. jista. 2025;8(2):141-155. doi:10.38016/jista.1677535
Chicago
Özsoy, Hüseyin Özkal. 2025. “Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design”. Journal of Intelligent Systems: Theory and Applications 8 (2): 141-55. https://doi.org/10.38016/jista.1677535.
EndNote
Özsoy HÖ (01 Eylül 2025) Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design. Journal of Intelligent Systems: Theory and Applications 8 2 141–155.
IEEE
[1]H. Ö. Özsoy, “Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design”, jista, c. 8, sy 2, ss. 141–155, Eyl. 2025, doi: 10.38016/jista.1677535.
ISNAD
Özsoy, Hüseyin Özkal. “Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design”. Journal of Intelligent Systems: Theory and Applications 8/2 (01 Eylül 2025): 141-155. https://doi.org/10.38016/jista.1677535.
JAMA
1.Özsoy HÖ. Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design. jista. 2025;8:141–155.
MLA
Özsoy, Hüseyin Özkal. “Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design”. Journal of Intelligent Systems: Theory and Applications, c. 8, sy 2, Eylül 2025, ss. 141-55, doi:10.38016/jista.1677535.
Vancouver
1.Hüseyin Özkal Özsoy. Enhancing Industrial Product Aesthetics, Ergonomics, and Usability With Artificial Intelligence-Driven Generative Design. jista. 01 Eylül 2025;8(2):141-55. doi:10.38016/jista.1677535

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