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Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end,…

Computation and Language · Computer Science 2025-02-11 Pranav Bhandari , Usman Naseem , Amitava Datta , Nicolas Fay , Mehwish Nasim

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

Computation and Language · Computer Science 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in social and cognitive domains. This study investigates whether LLMs exhibit personality-like…

Computation and Language · Computer Science 2025-05-22 Wang Jiaqi , Wang bo , Guo fa , Cheng cheng , Yang li

Assessing personality traits using large language models (LLMs) has emerged as an interesting and challenging area of research. While previous methods employ explicit questionnaires, often derived from the Big Five model of personality, we…

Computation and Language · Computer Science 2024-09-17 Joseph Suh , Suhong Moon , Minwoo Kang , David M. Chan

Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific…

Computation and Language · Computer Science 2024-04-03 Hang Jiang , Xiajie Zhang , Xubo Cao , Cynthia Breazeal , Deb Roy , Jad Kabbara

A growing body of research examines personality traits in Large Language Models (LLMs), particularly in human-agent collaboration. Prior work has frequently applied the Big Five inventory to assess LLM behavior analogous to human…

Human-Computer Interaction · Computer Science 2026-03-20 Kim Zierahn , Cristina Cachero , Anna Korhonen , Nuria Oliver

Accurate assessment of personality traits is crucial for effective psycho-counseling, yet traditional methods like self-report questionnaires are time-consuming and biased. This study exams whether Large Language Models (LLMs) can predict…

Computation and Language · Computer Science 2024-06-26 Yang Yan , Lizhi Ma , Anqi Li , Jingsong Ma , Zhenzhong Lan

Large Language Models (LLMs) are increasingly deployed in roles requiring nuanced psychological understanding, such as emotional support agents, counselors, and decision-making assistants. However, their ability to interpret human…

Computation and Language · Computer Science 2025-09-17 Jianfeng Zhu , Julina Maharjan , Xinyu Li , Karin G. Coifman , Ruoming Jin

With the advancement of large language models (LLMs), the focus in Conversational AI has shifted from merely generating coherent and relevant responses to tackling more complex challenges, such as personalizing dialogue systems. In an…

Computation and Language · Computer Science 2025-02-13 Maria Molchanova , Anna Mikhailova , Anna Korzanova , Lidiia Ostyakova , Alexandra Dolidze

This study validates Large Language Models (LLMs) as a dynamic alternative to questionnaire-based personality assessment. Using a within-subjects experiment (N=33), we compared Big Five personality scores derived from guided LLM…

Computation and Language · Computer Science 2026-02-19 Andrius Matšenas , Anet Lello , Tõnis Lees , Hans Peep , Kim Lilii Tamm

Large Language Models (LLMs) such as OpenAI's GPT-4 and Meta's LLaMA offer a promising approach for scalable personality assessment from open-ended language. However, inferring personality traits remains challenging, and earlier work often…

Computation and Language · Computer Science 2025-07-22 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe the behavior associated with the desired personality traits,…

Computation and Language · Computer Science 2025-07-30 Wenkai Li , Jiarui Liu , Andy Liu , Xuhui Zhou , Mona Diab , Maarten Sap

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly powerconversational agents used by the general…

In computational cognitive modeling, capturing the full spectrum of human judgment and decision-making processes, beyond just optimal behaviors, is a significant challenge. This study explores whether Large Language Models (LLMs) can…

Artificial Intelligence · Computer Science 2025-02-24 Animesh Nighojkar , Bekhzodbek Moydinboyev , My Duong , John Licato

Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Language Agents (RPLAs). However, achieving authentic alignment…

Computation and Language · Computer Science 2026-04-20 Xintao Wang , Jian Yang , Weiyuan Li , Rui Xie , Jen-tse Huang , Jun Gao , Shuai Huang , Yueping Kang , Yuanli Gou , Hongwei Feng , Yanghua Xiao

Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data can faithfully capture psychological differences driven by…

Computation and Language · Computer Science 2025-11-27 Manuel Pratelli , Marinella Petrocchi

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring trustworthy AI alignment. While existing reviews have covered…

Computers and Society · Computer Science 2025-05-02 Wenhan Dong , Yuemeng Zhao , Zhen Sun , Yule Liu , Zifan Peng , Jingyi Zheng , Zongmin Zhang , Ziyi Zhang , Jun Wu , Ruiming Wang , Shengmin Xu , Xinyi Huang , Xinlei He

An empirical investigation into the simulation of the Big Five personality traits by large language models (LLMs), namely Llama2, GPT4, and Mixtral, is presented. We analyze the personality traits simulated by these models and their…

Computation and Language · Computer Science 2024-02-06 Aleksandra Sorokovikova , Natalia Fedorova , Sharwin Rezagholi , Ivan P. Yamshchikov

As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously…

Artificial Intelligence · Computer Science 2024-11-25 Aadesh Salecha , Molly E. Ireland , Shashanka Subrahmanya , João Sedoc , Lyle H. Ungar , Johannes C. Eichstaedt

Recent research has focused on examining Large Language Models' (LLMs) characteristics from a psychological standpoint, acknowledging the necessity of understanding their behavioral characteristics. The administration of personality tests…

Computation and Language · Computer Science 2024-10-07 Jen-tse Huang , Wenxiang Jiao , Man Ho Lam , Eric John Li , Wenxuan Wang , Michael R. Lyu
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