2026-10-13T23:07:48Z https://www.scidb.cn/oai

10.57760/sciencedb.26046 2025-09-12T11:31:39Z

2025-09-12 Data Invoked by Large Language Models and Human Decision-Making Performance Data doi:10.57760/sciencedb.26046 en The datasets generated and analyzed in this article are organized by study:Study 1: Data include GPT-3.5 and GPT-4 decision outcomes in single vs. repeated gamble tasks, program scripts for API calls, corresponding problem sets, R code for chi-square tests and logistic regression, and visualization scripts.Study 2: Data cover the standardized procedure for generating decision strategies with LLMs, experimental data from human participants across medical, financial, content creation, and e-commerce contexts, as well as associated R analysis code.Study 3: Data include decision outcomes of human participants exposed to LLM-generated intervention texts and the corresponding analysis code.All relevant materials (stimuli, scripts, and analysis code) are available upon reasonable request from the authors. risk decision-making; single vs. repeated games; large language models LI Litong PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset http://www.doi.org/10.3724/sp.j.1041.2026.0416 Science Data Bank