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Psychological evidence reveals the influence of personality traits on decision-making. For instance, agreeableness is generally associated with positive outcomes in negotiations, whereas neuroticism is often linked to less favorable…

Computation and Language · Computer Science 2024-11-05 Yin Jou Huang , Rafik Hadfi

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…

Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, specifically GPT-4o and GPT-4o mini, can infer Big Five…

Computation and Language · Computer Science 2025-01-14 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

Predicting human decision-making in high-stakes environments remains a central challenge for artificial intelligence. While large language models (LLMs) demonstrate strong general reasoning, they often struggle to generate consistent,…

Artificial Intelligence · Computer Science 2026-02-20 Ben Yellin , Ehud Ezra , Mark Foreman , Shula Grinapol

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

Large Language Models (LLMs) have significantly improved personalized conversational capabilities. However, existing datasets like Persona Chat, Synthetic Persona Chat, and Blended Skill Talk rely on static, predefined personas. This…

Computation and Language · Computer Science 2024-12-17 Sayantan Pal , Souvik Das , Rohini K. Srihari

The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems. This paper explores the application of LLMs in psychological counseling, addressing…

Computation and Language · Computer Science 2024-06-21 Wenjie Li , Tianyu Sun , Kun Qian , Wenhong Wang

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

Applying large language models (LLMs) to assist in psycho-counseling is an emerging and meaningful approach, driven by the significant gap between patient needs and the availability of mental health support. However, current LLMs struggle…

Computation and Language · Computer Science 2026-04-14 Mian Zhang , Shaun M. Eack , Zhiyu Zoey Chen

Prompt-based personality control is a key technique for designing large language model (LLM) dialogue agents that behave consistently across social contexts. However, specifying Big Five personality traits (BFTs) in a prompt does not ensure…

Computation and Language · Computer Science 2026-05-28 Moe Nagao , Koichiro Terao , Mikio Nakano , Naoto Iwahashi

As Large Language Models (LLMs) become integral to human-centered applications, understanding their personality-like behaviors is increasingly important for responsible development and deployment. This paper systematically evaluates six…

Computation and Language · Computer Science 2025-11-07 Christos-Nikolaos Zacharopoulos , Revekka Kyriakoglou

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

Large Language Models (LLMs) have demonstrated the ability to adopt a personality and behave in a human-like manner. There is a large body of research that investigates the behavioural impacts of personality in less obvious areas such as…

Statistical Finance · Quantitative Finance 2024-11-12 Harris Borman , Anna Leontjeva , Luiz Pizzato , Max Kun Jiang , Dan Jermyn

Large language models (LLMs) enable conversational agents (CAs) to express distinctive personalities, raising new questions about how such designs shape user perceptions. This study investigates how personality expression levels and…

Human-Computer Interaction · Computer Science 2026-04-30 Hasibur Rahman , Smit Desai

Recent studies have shown that prompting can enable large language models (LLMs) to simulate specific personality traits and produce behaviors that align with those traits. However, there is limited understanding of how these simulated…

Computation and Language · Computer Science 2026-01-06 Nuo Chen , Hanpei Fang , Piaohong Wang , Jiqun Liu , Tetsuya Sakai , Xiao-Ming Wu

Large Language Models increasingly mediate high-stakes interactions, intensifying research on their capabilities and safety. While recent work has shown that LLMs exhibit consistent and measurable synthetic personality traits, little is…

Artificial Intelligence · Computer Science 2025-09-23 Stephen Fitz , Peter Romero , Steven Basart , Sipeng Chen , Jose Hernandez-Orallo

Large Language Models (LLMs) are increasingly used in everyday life and research. One of the most common use cases is conversational interactions, enabled by the language generation capabilities of LLMs. Just as between two humans, a…

Computation and Language · Computer Science 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

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

Persona prompting is increasingly used in large language models (LLMs) to simulate views of various sociodemographic groups. However, how a persona prompt is formulated can significantly affect outcomes, raising concerns about the fidelity…

Computation and Language · Computer Science 2025-10-06 Marlene Lutz , Indira Sen , Georg Ahnert , Elisa Rogers , Markus Strohmaier

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