SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams

Researchers introduce SensorPersona, an LLM-based system that continuously extracts user personas from mobile sensor data rather than chat histories, achieving 31.4% higher recall in persona extraction and 85.7% win rate in personalized agent responses. The system processes multimodal sensor streams to infer physical patterns, psychosocial traits, and life experiences across longitudinal data collected from 20 participants over three months.