方法对比

	远程传感器数据采集	Mobile Experience Sampling
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	1990s–2000s (proliferated with wireless and IoT technologies)	1983
提出者	Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al.	Mihaly Csikszentmihalyi & Reed Larson
类型	Automated quantitative data collection	Intensive longitudinal data collection technique
开创性文献	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.
别名	remote sensing data acquisition, wireless sensor data collection, distributed sensor data collection, telemetric data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
相关	6	5
摘要	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.