Autors: Danov, P. J., Raynova, K. S., Stefanova-Stoyanova, V. V.
Title: Improving Human-Computer Interaction with Generative Adversarial Networks by Covering ISO 9241 Standards in Interaction Design
Keywords: Human-Computer Interaction (HCI), User Experience (UX), Inte

Abstract: The paper explores the concept of integrating generative adversarial networks (GANs) into human-computer interaction (HCI) to conform to ISO 9241 standards. The creation of adaptive, customizable and user-friendly interfaces can be supported and facilitated using GAN. The potential that GANs must improve usability, accessibility and ergonomic design is evidenced in the study, as well as the changing impact on interaction design and alignment with international ISO standards.

References

    Issue

    2024 32nd National Conference with International Participation (TELECOM), 2024, Bulgaria, DOI 10.1109/TELECOM63374.2024.10812218

    Цитирания (Citation/s):
    1. Danov B., Methodologies and Applications of Advanced Analytics, NLP and Computer Vision in Business Process Automation and Optimization via AI and ML, 2025, 2025 34th International Scientific Conference Electronics Et 2025 Proceedings, issue 0, DOI 10.1109/ET66806.2025.11204170 - 2025 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus