MenuCraft: Interactive Menu System Design with Large Language Models
This addresses the problem of complex menu design for user interface designers, though it appears incremental as it applies existing LLMs to a specific domain.
The paper tackles the challenge of menu system design by introducing MenuCraft, an AI-assisted tool that uses large language models to simplify and customize menu design through interactive dialogue, resulting in a system that enables easy collaboration and in-context learning.
Menu system design for user interfaces is a challenging task involving many design options and various human factors. For example, one crucial factor that designers need to consider is the semantic and systematic relation of menu commands. However, capturing these relations can be challenging due to limited available resources. Large language models can be helpful in this regard, using their pre-training knowledge to design and refine menu systems. In this paper, we propose MenuCraft, an AI-assisted designer for menu design that enables collaboration between the designer and a dialogue system to design menus. MenuCraft offers an interactive language-based menu design tool that simplifies the menu design process and enables easy customization of design options. MenuCraft supports a variety of interactions through dialog that allows performing in-context learning.