Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Collecte de données par capteurs distants× | Échantillonnage d'expériences mobiles× | |
|---|---|---|
| Domaine | Méthodologie d'enquête | Méthodologie d'enquête |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1990s–2000s (proliferated with wireless and IoT technologies) | 1983 |
| Auteur d'origine≠ | Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al. | Mihaly Csikszentmihalyi & Reed Larson |
| Type≠ | Automated quantitative data collection | Intensive longitudinal data collection technique |
| Source fondatrice≠ | Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422. DOI ↗ | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| Alias | remote sensing data acquisition, wireless sensor data collection, distributed sensor data collection, telemetric data collection | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | Remote sensor data collection is the systematic acquisition of measurements from geographically distributed sensing devices without requiring direct human presence at each location. Sensors continuously or periodically record physical, chemical, or biological variables — temperature, pressure, motion, light, GPS coordinates — and transmit readings wirelessly or via network to a central repository for analysis. Widely used in environmental monitoring, precision agriculture, health informatics, and smart infrastructure. | 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. |
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