Relationship between personality and sleep: a dual validation study combining empirical and big data-driven...

Area of Science:

• Psychology
• Computational Linguistics
• Sleep Science

Background:

• Sleep is crucial for overall health.
• Personality traits are known to influence sleep patterns.
• Understanding this relationship can inform health interventions.

Purpose of the Study:

• To investigate the connection between personality traits and sleep quality.
• To analyze the relationship between personality traits and sleep problems using computational models.
• To validate findings across different dataset sizes.

Main Methods:

• Developed three deep learning models using microblog data.
• Models assessed sleep problems and personality traits (Five-Factor Model).
• Applied models to a large-scale dataset (4.86M posts, 15.2K users) after small-scale validation.

Main Results:

• Conscientiousness, agreeableness, and extraversion associated with better sleep quality.
• Neuroticism linked to poorer sleep quality and increased sleep problems.
• Model findings consistent across small, expert-annotated and large-scale datasets.

Conclusions:

• Deep learning models can effectively analyze personality-sleep relationships.
• Findings offer insights into psychological factors affecting sleep.
• Potential for AI-driven tools in sleep research and personalized interventions.