Using Language Models to Decipher the Motivation Behind Human Behaviors

• URL: http://arxiv.org/abs/2503.15752v3
• Date: Sun, 06 Apr 2025 05:30:46 GMT
• Title: Using Language Models to Decipher the Motivation Behind Human Behaviors
• Authors: Yutong Xie, Qiaozhu Mei, Walter Yuan, Matthew O. Jackson,
• Abstract summary: We show that by varying prompts to a large language model, we can elicit a full range of human behaviors.<n>Then by analyzing which prompts are needed to elicit which behaviors, we can infer the motivations behind the human behaviors.
• Score: 17.855067753715797
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: AI presents a novel tool for deciphering the motivations behind human behaviors. We show that by varying prompts to a large language model, we can elicit a full range of human behaviors in a variety of different scenarios in terms of classic economic games. Then by analyzing which prompts are needed to elicit which behaviors, we can infer (decipher) the motivations behind the human behaviors. We also show how one can analyze the prompts to reveal relationships between the classic economic games, providing new insight into what different economic scenarios induce people to think about. We also show how this deciphering process can be used to understand differences in the behavioral tendencies of different populations.

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