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.

翻译：用户界面的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因考量。例如，设计者需要考虑的一个关键因素是菜单命令的语义与系统性关联。然而，由于可用资源有限，捕捉这些关联可能颇具挑战性。大型语言模型在这方面可以提供帮助，利用其预训练知识来设计和优化菜单系统。本文提出 MenuCraft，一种用于菜单设计的人工智能辅助设计工具，它支持设计者与对话系统协作进行菜单设计。MenuCraft 提供了一个基于语言的交互式菜单设计工具，该工具简化了菜单设计流程，并支持轻松定制设计选项。MenuCraft 通过对话支持多种交互方式，从而实现上下文学习。