F Salvi: Researcher — Prolific Citations Library

Explore 2 peer-reviewed studies by F Salvi in Conversational Persuasion of LLM and Human-Computer Interaction (HCI) (2024–2025). Discover research powered by Prolific's participant panel.

This page lists 2 peer-reviewed papers authored or co-authored by F Salvi in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

On the conversational persuasiveness of GPT-4

Authors: F Salvi, M Horta Ribeiro, R Gallotti, R West

Year: 2025

Published in: Nature Human Behaviour, 2025 - nature.com

Institution: EPFL, Fondazione Bruno Kessle, Princeton University

Research Area: Conversational Persuasion of LLM, Human-Computer Interaction (HCI), Behavioral Science, LLM

Discipline: Behavioral Science

GPT-4 can use personalized arguments to be more persuasive in debates, outperforming humans in 64.4% of AI-human comparisons when personalization is applied.

Methods: Preregistered controlled study involving multiround debates with random assignment to conditions focusing on AI-human comparisons, personalization, and opinion strength.

Key Findings: Effectiveness of persuasion by GPT-4, especially when using personalized arguments, compared to humans in debates.

Citations: 65

Sample Size: 900
On the conversational persuasiveness of large language models: A randomized controlled trial

Authors: F Salvi, MH Ribeiro, R Gallotti

Year: 2024

Published in: arXiv preprint arXiv ..., 2024 - atelierdesfuturs.org

Institution: EPFL, Fondazione Bruno Kessle

Research Area: Conversational Persuasion in LLM

Discipline: Artificial Intelligence

The study demonstrates that GPT-4 is highly persuasive in direct conversations, especially when equipped with personalized sociodemographic information about its opponent, raising concerns about its potential misuse in personalized persuasion contexts.

Methods: Participants engaged in multiple-round debates on a web-based platform under randomized conditions, with comparisons between human-human and human-AI interactions and the impact of personalization.

Key Findings: The persuasiveness of GPT-4 compared to humans, with and without personalization using sociodemographic data.

Citations: 118

Sample Size: 820