Can giving LLMs stories of life experiences create subjectivity or personality?

Abstract

The mainstream approach for Large Language Models (LLMs) in role-playing specific individuals or characters is to generate responses based on predefined personas. However, human personality continuously evolves throughout life. This study investigates whether LLMs can generate and transform their own personality by being endowed with life experiences. As a method to structure these life experiences, we adopt the "Life Graph," which plots episodes and their corresponding happiness levels at various ages and connects them with a curve. Our analysis uses the Big Five personality traits and a scale measuring values that measure whether people place more importance on moral values or personal benefits in everyday situations. Furthermore, we examine the effectiveness of various methods for presenting these life experiences and the Life Graph to the LLM.