  Zausailov-Milchakova-tik-2025-2-ru.pdf |
- 13
- CRITERIA FOR EVALUATING VISUAL QUALITY AND GENERATION USABILITY IN DIGITAL DESIGN
- Zausailov A. S., Milchakova N. E. Criteria for evaluating visual quality and generation usability in digital design. Technologies & Quality. 2025. No 2(68). P. 81–86. (In Russ.) https://doi.org/10.34216/ 2587-6147-2025-2-68-81-86.
- DOI: https://doi.org/10.34216/2587-6147-2025-2-68-81-86
- УДК: 74.01
- EDN: KYCXXT
- Publish date: 2025-05-20
- Annotation: The article explores the key criteria for evaluating visual quality and generation usability of images created using artificial intelligence technologies. The analysis includes both artistic and technical characteristics of the final output, as well as aspects of user interaction with generative models. The main groups of criteria are presented, including aesthetics, originality, composition, legibility, semantic accuracy, usability, detail, colour, artifacts, and resolution, along with generation process parameters such as prompt clarity, customisation flexibility, controllability, and response speed. The study offers a summary table illustrating the differences in perception and evaluation between users and experts. This approach provides an objective framework for analyzing the strengths and weaknesses of image generators and assessing their applicability in professional design practice.
- Keywords: digital design, visual evaluation, generative AI, image generation, quality criteria, model interaction, UX design
- Literature list: 1. Analysis of the Best AI Services for Content Generation*. Megagroup: [website]. 2023. URL: https://megagroup.ru/post/podklyuchenie-ii (accessed 27.02.2025). (In Russ.) 2. AI Comparison in 2024*. vc.ru: [website]. 2024. URL: https://vc.ru/ai/1440756-cravneniya-ii-v-2024-godu-midjourney-vs-flux-vs-dall-e-vs-adobe-firefly-vs-stable-diffusion-prodolzhenie (accessed 01.03.2025). (In Russ.) 3. Driukova A. E., Milchakova N. E., Driukov M. V. The use of neural networks in industrial design. Dizajn. Materialy. Tekhnologiya [Design. Materials. Technology]. 2022;2:24–29. (In Russ.) 4. Mochalova L. V., Mamedova I. Yu. Methodology for evaluating the typography and design of mobile interfaces. Tekhnologii i kachestvo [Technologies & Quality]. 2024;2(64):44–50. (In Russ.) 5. Galanin S. I., Silyanova E. A. Evolution of Design in the Art Nouveau Style* Dizajn. Materialy. Tekhnologiya [Design. Materials. Technology]. 2019;1:10–14. (In Russ.) 6. Foster D. Generative Deep Learning: The creative potential of neural networks. Saint Petersburg, Piter Publ., 2020. 336 p. (In Russ.) 7. AI Image Generators: Expert Reviews and Rankings. QuickCreator: [website]. 2024. URL: https://quickcreator.io/blog/2024-ai-image-generators-expert-reviews-rankings (accessed 10.02.2025).