Menu system design 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. With the advancement of neural language models, large language models can utilize their vast pre-existing knowledge in designing and refining 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 few-shot learning.

翻译：菜单系统设计是一项具有挑战性的任务，涉及众多设计选项和多种人为因素。例如，设计者需要考虑的一个关键因素是菜单命令的语义关联和系统关联。然而，由于可用资源有限，捕捉这些关联可能存在困难。随着神经语言模型的进步，大型语言模型能够利用其丰富的先验知识来设计和优化菜单系统。本文提出MenuCraft，一种面向菜单设计的AI辅助设计工具，它能实现设计者与对话系统之间的协作以完成菜单设计。MenuCraft提供基于交互式语言的菜单设计工具，简化了菜单设计流程，并支持设计选项的便捷定制。通过对话交互，MenuCraft支持多种交互方式，可实现少样本学习。