Language Interaction

Language interaction research explores how humans and machines communicate and learn through natural language, aiming to improve efficiency and effectiveness in various applications. Current research focuses on leveraging large language models (LLMs), particularly in developing conversational agents for tasks like web automation, linguistic fieldwork assistance, and human-robot collaboration, often employing techniques like reinforcement learning and prompt engineering to optimize agent behavior. This field is significant for advancing human-computer interaction, improving accessibility to information and services, and furthering our understanding of language acquisition and social norm development.