Personality Trait Recognition

Personality trait recognition aims to automatically identify personality characteristics from various data sources, such as physiological signals (e.g., ECG) and textual data. Current research explores diverse approaches, including deep learning models like convolutional neural networks and visual transformers for analyzing physiological data, and large language models like ChatGPT for processing textual information, often employing prompting strategies to enhance performance. These advancements hold significant potential for improving personalized experiences in areas like mental health assessment, human-computer interaction, and targeted marketing, while also raising ethical considerations regarding bias and fairness in algorithmic predictions.