We were proud to attend the SEIO2025 – National Congress of Statistics and Operations Research of Spain, held in Lleida. This event, organized by the Sociedad de Estadística, Investigación Operativa y Ciencia de Datos, brought together leading minds in statistics, data science, and operations research.

Bayesian Probabilistic Models for Driver Emotional State Assessment

At the congress, Dorota Młynarczyk from the Universitat de València presented innovative research from the BERTHA project, which focuses on developing a Bayesian probabilistic model to assess emotional states in drivers.

This model integrates:

• Demographic data
• Physiological signals
• Complex probabilistic dependencies

The goal is to predict mental states such as mental load and active fatigue, which are critical for understanding and improving driving performance.

Enhancing Road Safety Through Predictive Modeling

By identifying how emotional and cognitive states affect driver behavior, the BERTHA model contributes to:

• Improved road safety
• Better driver support systems
• Human-centric autonomous vehicle development

Collaborative Research Across Institutions

We extend our gratitude to SEIO for hosting this impactful event and to all contributors to the BERTHA project, including: Dorota Młynarczyk, Gabriel Calvo, Francisco Palmí, Carmen Armero, Virgilio Gómez (Universitat de València) and Úrsula Martínez, Ana de la Torre García (IBV).