User Behavior Simulation

User behavior simulation aims to create realistic models of how humans interact with systems, primarily to evaluate and improve those systems without costly and time-consuming human studies. Current research heavily utilizes large language models (LLMs) to generate diverse and contextually appropriate user behaviors, often within frameworks that simulate entire interaction scenarios, such as dialogues or web browsing sessions. This approach is proving valuable for assessing various applications, including marketing campaigns, dialogue systems, and human-computer interfaces, by providing large-scale, synthetic datasets for training and evaluation. The resulting improvements in system design and efficiency represent a significant advancement across multiple fields.