Порівняння методів

	Збір даних дистанційними датчиками	Мобільне вибіркове дослідження досвіду
Галузь	Методологія опитувань	Методологія опитувань
Родина	Process / pipeline	Process / pipeline
Рік появи	1990s–2000s (proliferated with wireless and IoT technologies)	1983
Автор методу	Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al.	Mihaly Csikszentmihalyi & Reed Larson
Тип	Automated quantitative data collection	Intensive longitudinal data collection technique
Основоположне джерело	Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
Інші назви	remote sensing data acquisition, wireless sensor data collection, distributed sensor data collection, telemetric data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Пов'язані	6	5
Підсумок	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.