เปรียบเทียบวิธี

	การเก็บข้อมูลเซ็นเซอร์เคลื่อนที่	การเก็บตัวอย่างประสบการณ์ผ่านมือถือ
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	Mid-2000s (smartphone-era formalization ~2006–2010)	1983
ผู้ริเริ่ม	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing	Mihaly Csikszentmihalyi & Reed Larson
ประเภท	Passive and active quantitative data collection technique	Intensive longitudinal data collection technique
แหล่งต้นตำรับ	Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
ชื่อเรียกอื่น	mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
ที่เกี่ยวข้อง	4	5
สรุป	Mobile sensor data collection uses the built-in sensors of smartphones, tablets, or wearable devices to capture behavioral, physiological, and environmental data in real-world settings. Sensors such as accelerometers, GPS, heart rate monitors, ambient light detectors, and microphones record data passively or on demand, enabling researchers to study human behavior with high temporal resolution outside the laboratory.	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.