Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
GUI prototyping is a common technique for requirements elicitation during software development and is essential in visualizing and communicating user requirements. However, creating GUI prototypes can be resource-intensive in terms of time and cost. This paper explores the innovative approach of integrating Large Language Models (LLMs) into the development of Graphical User Interface (GUI) prototypes to address this challenge. The primary objective of this work is to convert high-level text descriptions of mobile app interfaces into precise and detailed GUI prototypes. Various prompting strategies are adapted and evaluated within a structured GUI prototyping framework. The findings of this work highlight the feasibility of combining a state-of-the-art LLM with structured prompting approaches. This combination has successfully created high-quality GUI prototypes from textual descriptions, showcasing the significant potential of LLMs in the realm of GUI prototyping.
Recommended Citation
Fiebig, Lennart; Kolthoff, Kristian; Bartelt, Christian; and Ponzetto, Simone Paolo, "Effective GUI Generation: Leveraging Large Language Models for Automated GUI Prototyping" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 3.
https://aisel.aisnet.org/hicss-58/st/genai_in_software_development/3
Effective GUI Generation: Leveraging Large Language Models for Automated GUI Prototyping
Hilton Waikoloa Village, Hawaii
GUI prototyping is a common technique for requirements elicitation during software development and is essential in visualizing and communicating user requirements. However, creating GUI prototypes can be resource-intensive in terms of time and cost. This paper explores the innovative approach of integrating Large Language Models (LLMs) into the development of Graphical User Interface (GUI) prototypes to address this challenge. The primary objective of this work is to convert high-level text descriptions of mobile app interfaces into precise and detailed GUI prototypes. Various prompting strategies are adapted and evaluated within a structured GUI prototyping framework. The findings of this work highlight the feasibility of combining a state-of-the-art LLM with structured prompting approaches. This combination has successfully created high-quality GUI prototypes from textual descriptions, showcasing the significant potential of LLMs in the realm of GUI prototyping.
https://aisel.aisnet.org/hicss-58/st/genai_in_software_development/3