Human Behavior Simulation Papers

This page lists 4 peer-reviewed papers in the research area of Human Behavior Simulation in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

Take caution in using LLMs as human surrogates: Scylla ex machina

Authors: Y Gao, D Lee, G Burtch, S Fazelpour

Year: 2024

Published in: arXiv preprint arXiv:2410.19599, 2024 - arxiv.org

Institution: Boston University, Northeastern University

Research Area: LLMs as Human Surrogates, Social Science Research Methods, Human Behavior Simulation

Discipline: Economics, Artificial Intelligence, Social Science

LLMs fail to accurately replicate human behavior in the 11-20 money request game, cautioning against their use as surrogates for human cognition in social science research.

Methods: The study evaluates the reasoning depth of various advanced LLMs through their performance on the 11-20 money request game, analyzing failure points related to input language, roles, and safeguarding.

Key Findings: The ability of LLMs to replicate human-like behavior and reasoning distribution in the context of social science simulations.

Citations: 25
The challenge of using LLMs to simulate human behavior: A causal inference perspective

Authors: G Gui, O Toubia

Year: 2023

Published in: arXiv preprint arXiv:2312.15524, 2023 - arxiv.org

Institution: University of Southern California, Columbia Business School

Research Area: LLMs and Causal Inference in Human Behavior Simulation, Large Language Models

Discipline: Artificial Intelligence, Information Retrieval (cs.IR), Econometrics (econ.EM), Applications (stat.AP)

Citations: 76
AITurk: Using ChatGPT for social science research

Authors: X Qin, M Huang, J Ding

Year: 2022

Published in: Available at SSRN 4922861, 2024 - papers.ssrn.com

Institution: Peking University, Tsinghua University, Nankai University

Research Area: AI Social Science, LLM Simulation of Human Behavior, AI Simulation

Discipline: Social Science Research

DOI: https://ssrn.com/abstract=4922861

Citations: 17
Large language models and the wisdom of small crowds

Authors: S Trott

Year: 2021

Published in: Open Mind, 2024 - direct.mit.edu

Institution: Stanford University, Microsoft Research

Research Area: LLMs in Social Science Research, Crowdworking, Human Behavior Simulation

Discipline: Artificial Intelligence, Social Science, Information Systems

Citations: 22