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
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality
Laura Zheng, Julio Poveda, James Mullen, Shreelekha Revankar, Ming C. Lin
Implications of Personality on Cognitive Workload, Affect, and Task Performance in Remote Robot Control
Go-Eum Cha, Wonse Jo, Byung-Cheol Min
Relationship Between Online Harmful Behaviors and Social Network Message Writing Style
Talia Sanchez Viera, Richard Khoury
AI-enabled exploration of Instagram profiles predicts soft skills and personality traits to empower hiring decisions
Mercedeh Harirchian, Fereshteh Amin, Saeed Rouhani, Aref Aligholipour, Vahid Amiri Lord