When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
Rikuo Sasaki, Michimasa Inaba
TL;DR
The paper investigates whether a Persuadee Agent co-present in persuasive dialogue can induce conformity in a human participant and boost attitude change. It uses a between-subjects design with four conditions, leveraging GPT-4.1 to drive a triadic dialogue on healthy eating, and measures perceived persuasiveness, attitude change, and turn-by-turn dynamics. The findings show that a persuaded Persuadee Agent elevates both perceived persuasiveness and attitude change, especially when paired with an icebreaker, while an unpersuaded Persuadee Agent suppresses impact. These results reveal a practical and theoretical role for AI peers in persuasion, offering design guidelines for AI driven social influence in health and behavior change applications.
Abstract
Recent advancements in AI have highlighted its application in captology, the field of using computers as persuasive technologies. We hypothesized that the "conformity effect," where individuals align with others' actions, also occurs with AI agents. This study verifies this hypothesis by introducing a "Persuadee Agent" that is persuaded alongside a human participant in a three-party persuasive dialogue with a Persuader Agent. We conducted a text-based dialogue experiment with human participants. We compared four conditions manipulating the Persuadee Agent's behavior (persuasion acceptance vs. non-acceptance) and the presence of an icebreaker session. Results showed that when the Persuadee Agent accepted persuasion, both perceived persuasiveness and actual attitude change significantly improved. Attitude change was greatest when an icebreaker was also used, whereas an unpersuaded AI agent suppressed attitude change. Additionally, it was confirmed that the persuasion acceptance of participants increased at the moment the Persuadee Agent was persuaded. These results suggest that appropriately designing a Persuadee Agent can improve persuasion through the conformity effect.
