Comparer des méthodes

	Collecte de données de capteurs en personne	Échantillonnage d'expériences mobiles
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (growth with wearable/biosensor technology)	1983
Auteur d'origine	Emerging from ambulatory assessment and wearable computing research communities	Mihaly Csikszentmihalyi & Reed Larson
Type	Quantitative / mixed-methods data collection technique	Intensive longitudinal data collection technique
Source fondatrice	Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
Alias	in-person sensor data collection, proximate biosensor data collection, face-to-face ambulatory assessment, on-site sensor recording	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Apparentées	4	5
Résumé	Face-to-face sensor data collection involves attaching or deploying sensors — physiological, motion, environmental, or proximity-based — on or around participants during in-person research sessions. The co-present setting allows direct researcher oversight of equipment, real-time signal monitoring, and immediate troubleshooting, yielding high-fidelity continuous or event-triggered data streams that capture objective behavioral and physiological indicators as they unfold.	Mobile Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life.