Menu Design

Menu design research focuses on optimizing menu structures and content for improved user experience and efficiency across diverse applications, from restaurant menus to software interfaces. Current research employs machine learning models, including large language models and hierarchical ensemble methods, to personalize menu recommendations based on user preferences, cultural context, and even affective states detected via EEG. These advancements aim to improve the accuracy of menu translation, optimize resource allocation in principal-agent interactions, and create more intuitive and user-friendly interfaces. The resulting improvements have implications for various fields, including personalized healthcare, efficient resource management, and the design of human-computer interaction systems.