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
The Better Angels of Machine Personality: How Personality Relates to LLM Safety
Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao
MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
Cong Cai, Shan Liang, Xuefei Liu, Kang Zhu, Zhengqi Wen, Jianhua Tao, Heng Xie, Jizhou Cui, Yiming Ma, Zhenhua Cheng, Hanzhe Xu, Ruibo Fu, Bin Liu, Yongwei Li