So sánh phương pháp

	Thu thập dữ liệu cảm biến trực tuyến	Mobile Experience Sampling
Lĩnh vực	Phương pháp luận khảo sát	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Late 1990s–early 2000s (Internet of Things paradigm formalized ~2000)	1983
Người khởi xướng	Akyildiz et al. (foundational survey); DARPA SensIT programme (~2000)	Mihaly Csikszentmihalyi & Reed Larson
Loại	Quantitative / mixed-mode data collection technique	Intensive longitudinal data collection technique
Công trình gốc	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.
Tên gọi khác	networked sensor data collection, IoT data collection, remote sensor monitoring, wireless sensor data acquisition	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Liên quan	6	5
Tóm tắt	Online sensor data collection is a systematic technique for gathering continuous or event-triggered measurements from physical sensors that transmit readings in real time over a network — the internet, a local wireless network, or a dedicated IoT protocol. It is used widely in environmental monitoring, health informatics, smart-city research, industrial systems, and behavioral science to capture objective, high-frequency data without requiring manual recording by participants or observers.	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.