When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue

Fuente: arXiv
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Autores principales: Sasaki, Rikuo, Inaba, Michimasa
Formato: Preprint
Publicado: 2025
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author Sasaki, Rikuo
Inaba, Michimasa
author_facet Sasaki, Rikuo
Inaba, Michimasa
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_04229
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
Sasaki, Rikuo
Inaba, Michimasa
Human-Computer Interaction
Artificial Intelligence
H.5.2
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.
title When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
topic Human-Computer Interaction
Artificial Intelligence
H.5.2
url https://arxiv.org/abs/2510.04229