@inproceedings{ahnert-etal-2025-simulating,
title = "Simulating Persuasive Dialogues on Meat Reduction with Generative Agents",
author = "Ahnert, Georg and
Wurth, Elena and
Strohmaier, Markus and
Mata, Jutta",
editor = "Velutharambath, Aswathy and
Labat, Sofie and
Falk, Neele and
Plaza-del-Arco, Flor Miriam and
Klinger, Roman and
Hoste, V{\'e}ronique",
booktitle = "Proceedings of the First Workshop on Integrating {NLP} and Psychology to Study Social Interactions ({NLPSI}) @{ICWSM} `25",
month = jun,
year = "2025",
address = "Copenhagen, Denmark",
publisher = "Association for the Advancement of Artificial Intelligence (www.aaai.org)",
url = "https://aclanthology.org/2025.nlpsi-1.1/",
doi = "10.36190/2025.30",
pages = "1--10",
abstract = "Meat reduction benefits human and planetary health, but social norms keep meat central in shared meals.To date, the development of {\_}communication strategies that promote meat reduction while minimizing social costs{\_} has required the costly involvement of human participants at each stage of the process.We present work in progress on simulating multi-round dialogues on meat reduction between {\_}Generative Agents{\_} based on large language models (LLMs). We measure our main outcome using established psychological questionnaires based on the {\_}Theory of Planned Behavior{\_} and additionally investigate {\_}Social Costs{\_}.We find evidence that our preliminary simulations produce outcomes that are (i) consistent with theoretical expectations; and (ii) valid when compared to data from previous studies with human participants. Generative agent-based models are a promising tool for identifying novel communication strategies on meat reduction{---}tailored to highly specific participant groups{---}to then be tested in subsequent studies with human participants."
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%0 Conference Proceedings
%T Simulating Persuasive Dialogues on Meat Reduction with Generative Agents
%A Ahnert, Georg
%A Wurth, Elena
%A Strohmaier, Markus
%A Mata, Jutta
%Y Velutharambath, Aswathy
%Y Labat, Sofie
%Y Falk, Neele
%Y Plaza-del-Arco, Flor Miriam
%Y Klinger, Roman
%Y Hoste, Véronique
%S Proceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ‘25
%D 2025
%8 June
%I Association for the Advancement of Artificial Intelligence (www.aaai.org)
%C Copenhagen, Denmark
%F ahnert-etal-2025-simulating
%X Meat reduction benefits human and planetary health, but social norms keep meat central in shared meals.To date, the development of _communication strategies that promote meat reduction while minimizing social costs_ has required the costly involvement of human participants at each stage of the process.We present work in progress on simulating multi-round dialogues on meat reduction between _Generative Agents_ based on large language models (LLMs). We measure our main outcome using established psychological questionnaires based on the _Theory of Planned Behavior_ and additionally investigate _Social Costs_.We find evidence that our preliminary simulations produce outcomes that are (i) consistent with theoretical expectations; and (ii) valid when compared to data from previous studies with human participants. Generative agent-based models are a promising tool for identifying novel communication strategies on meat reduction—tailored to highly specific participant groups—to then be tested in subsequent studies with human participants.
%R 10.36190/2025.30
%U https://aclanthology.org/2025.nlpsi-1.1/
%U https://doi.org/10.36190/2025.30
%P 1-10
Markdown (Informal)
[Simulating Persuasive Dialogues on Meat Reduction with Generative Agents](https://aclanthology.org/2025.nlpsi-1.1/) (Ahnert et al., NLPSI 2025)
ACL
- Georg Ahnert, Elena Wurth, Markus Strohmaier, and Jutta Mata. 2025. Simulating Persuasive Dialogues on Meat Reduction with Generative Agents. In Proceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25, pages 1–10, Copenhagen, Denmark. Association for the Advancement of Artificial Intelligence (www.aaai.org).