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,涉及许多设计选项和各种人的因素。例如,设计师需要考虑的一个关键因素是菜单命令的语义和系统关系。然而,由于可用资源有限,捕捉这些关系可能具有挑战性。随着神经语言模型的发展,大型语言模型可以利用其庞大的原有知识来设计和完善菜单系统。在本文中,我们建议使用一个AI协助设计菜单设计师的菜单设计师MenuCraft来设计菜单,使设计师和设计菜单的对话系统之间能够合作。MenuCraft提供了一种基于语言的交互式菜单设计工具,简化菜单设计过程,方便设计选项的定制。MenuCraft通过对话支持多种互动,使得能够进行少见的学习。</s>