Framework Transformer neural network Emotion Task performance Mental workload MWL Protective equipment User eXperience Photoplethysmogram PPG Self-evaluation Artificial Intelligence Expérience Utilisateur N-back task Scenario Affective-Motivational factors Smartphone Ethnographic approach Facteurs AffectivoMotivationnels Objective measurement Evaluation Design Free- space optical communications Technical performance Mesures Régulation Contrôle Satisfaction Emotion recognition Non verbal communication Comparison Before-After Use Measures Immersion Usage Model Ergonomic approach Capteurs Acceptability Stationary sensors Conception centrée-utilisateur TICE Stress Electrodermal activity EDA UX Computational Creativity Convolutional neural network CNN Equations Structurelles Acceptance Regulation Social interaction Structural Equation Modelling Smartphone Monitoring Regulation Self-evaluation Objective measurement Logs Emotions User-centered design Facial expressions ICTE Eye-tracking Virtual Reality Mesure objective Automatic Recognition Machine learning ICU ventilators Reconnaissance des émotions Workload Ergonomics Expectation-Disconfirmation Theory Design thinking Convolutional neural networks CAN Virtual reality Intensive Care GAN Deep neural networks DNNs Bias Collaboration Technology research AI EVE Time series classification TSC User experience Mental effort Physiological signals Réalité virtuelle Logs Signaux physiologiques Laboratory sensors Arts Physiological Measurement Qualitative analysis Healthcare technologies Virtual assistant Machine Learning Authorship Acceptabilité Painting Co‐design approaches Wearable sensors Auto-évaluation Ebola virus disease Monitoring Electroencephalogram EEG VR