Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires

Psychological assessment tools have long helped humans understand Understanding the behaviour of LLMs is essential as they are increasingly behavioural patterns. While Large Language Models (LLMs) used in diverse fields such as education, law, business can generate content comparable to that of humans, we explore and medicine[9] where they significantly influence human interactions whether they exhibit personality traits. To this end, this work applies and decision-making processes. These models can generate psychological tools to LLMs in diverse scenarios to generate coherent and insightful content, allowing personal recommendation personality profiles. Using established trait-based questionnaires and solving complex problems[12]. However, concern for such as the Big Five Inventory and by addressing the possibility of ethical considerations, inherent bias and the potential for misuse training data contamination, we examine the dimensional variability still exist[9] which must be addressed by exploring the underlying and dominance of LLMs across five core personality dimensions: patterns through systematic approaches such as psychological Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism.