Behavioural Experiment

Behavioral experiments are increasingly leveraging large language models (LLMs) like GPT-3.5 and GPT-4, as well as other architectures, to investigate human-like decision-making and social interactions, addressing challenges in traditional human subject studies such as reproducibility and bias. Current research focuses on developing tools and methodologies for conducting these experiments, including automated data analysis and novel experimental designs, and comparing LLM behavior to human behavior across various tasks and emotional contexts. This work has implications for improving our understanding of human behavior, developing more robust and human-aligned AI systems, and advancing fields like social science and market research through more efficient and scalable data collection and analysis.