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