Personality Trait
Personality trait research is exploring how to accurately identify and model personality characteristics in both humans and artificial intelligence, primarily focusing on established frameworks like the Big Five model. Current research utilizes large language models (LLMs) and machine learning techniques, including convolutional neural networks and transformers, to analyze text data (e.g., social media posts, dialogues) and physiological signals (e.g., ECG) for personality prediction and generation. This work has implications for improving human-computer interaction, enhancing personalized experiences, and advancing our understanding of human personality itself, as well as raising ethical considerations regarding bias and privacy in AI systems.
Papers
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
Patrick Haller, Lena S. Bolliger, Lena A. Jäger
Extroversion or Introversion? Controlling The Personality of Your Large Language Models
Yanquan Chen, Zhen Wu, Junjie Guo, Shujian Huang, Xinyu Dai