Exploring a Gamified Personality Assessment Method through Interaction with Multi-Personality LLM Agents
Journal:
arXiv
Published Date:
Jul 5, 2025
Abstract
The execution of effective and imperceptible personality assessments is
receiving increasing attention in psychology and human-computer interaction
fields. This study explores an interactive approach for personality assessment,
focusing on the multiplicity of personality representation. We propose a
framework of gamified personality assessment through multi-personality
representations (Multi-PR GPA). The framework leverages Large Language Models
to empower virtual agents with diverse personalities. These agents elicit
multifaceted human personality representations through engaging in interactive
games. Drawing upon the multi-type textual data generated throughout the
interaction, it achieves two ways of personality assessments (i.e., Direct
Assessment and Que-based Assessment) and provides interpretable insights.
Grounded in the classic Big Five theory, we implemented a prototype system and
conducted a user study to assess the efficacy of Multi-PR GPA. The results
underscore the effectiveness of our approach in personality assessment and
demonstrate that it achieves superior performance when considering the
multiplicity of personality representation.
