RT info:eu-repo/semantics/other T1 Evaluación multimodal de la carga cognitiva en el desempeño de tareas visomotoras complejas: un estudio sobre el sesgo implícito en la interacción humano-ia A1 Martínez Mora, Sara A1 Morales Balbás, Samuel A1 Sanz Palacios, Teresa A1 Urizarna Sánchez, Alba A2 Universidad de Burgos. Departamento de Ciencias de la Salud K1 Industria 5.0 K1 TAI K1 Eye-tracking K1 Chatbot K1 Carga cognitiva K1 Apoyo emocional K1 Inteligencia artificial K1 Artificial intelligence K1 Psicología fisiológica K1 Psychophysiology K1 8959 - Sistemas inteligentes aplicados a la psicología AB This study analyses the multimodal evaluation of cognitive load in complex visuomotor test, specifically focusing on implicit bias within human-IA interaction in the context of Industry 5.0. The research aims to understand how unconscious prejudices, measured through the Implicit Association Test (IAT or TAI, Spanish version), modulate user experience and how intelligent systems can act as emotional regulators. Using a multiple single case experimental design (n=3) three female university students aged 20 were evaluated. The methodology integrated subjective measures via NASA-TLX, physiological responses using Galvanic Skin Response (GSR) and electroencephalography (EEG), and visual behaviour through eye-tracking technology. In addition, a conversational chatbot named EsencIA was developed to provide psychological support based on cognitive-behavioural therapy for participants experiencing high frustration. Results indicate that participants perceive the TAI as a demanding task with medium-high mental load, where the temporal demand and effort are prominent. Quantitative data show a correlation between the intensity of implicit bias and visual exploration patterns, suggesting that more consolidated biases require greater cognitive supervision and increased saccadic movements. These findings highlight the importance of integrating multimodal metrics to understand cognitive and emotional processing, confirming the potential of IA as a support tool in high-demand environment to mitigate stress and improve user interaction. YR 2026 FD 2026-05-18 LK https://hdl.handle.net/10259/11912 UL https://hdl.handle.net/10259/11912 LA spa DS Repositorio Institucional de la Universidad de Burgos RD 19-oct-2026