Francesca Russo
GUI Representation Learning for Downstream Real-World Applications.
Rel. Luigi De Russis, Tommaso Calo'. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (12MB) | Preview |
Abstract
Recent advancements in Artificial Intelligence (AI) have allowed the development of tools that can assist professionals across various industries in completing different tasks, such as realistic character design in gaming, news analysis and fact-checking in journalism. Among the industries benefiting from AI advancements is User Interface (UI) design, where AI-based tools are playing a key role in enhancing efficiency and creativity. Graphical User Interface (GUI) design is the process of designing the visual layout of a software application, focusing on the appearance, functionality and usability of the interface that users interact with. Nowadays, designers rely on several products, such as Figma, that facilitate the creation, prototyping and testing of GUIs.
Figma, a real-time collaborative platform, has recently integrated novel AI features, with many more to come
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
