Persuasive Dialogue

Persuasive dialogue research focuses on developing computational models capable of engaging in human-like conversations designed to influence attitudes or behaviors. Current efforts leverage large language models (LLMs) within multi-agent frameworks, often incorporating techniques like counterfactual reasoning and personality prediction to tailor persuasive strategies to individual users. These advancements are being applied across diverse domains, including healthcare, finance, and combating online hate speech, demonstrating the potential for significant impact on both human-computer interaction and societal challenges. The field is actively exploring methods to improve factual accuracy, manage user resistance, and ethically deploy these powerful technologies.