পদ্ধতির তুলনা করুন

	মোবাইল সেন্সর ডেটা সংগ্রহ	মোবাইল এক্সপেরিয়েন্স স্যাম্পলিং
ক্ষেত্র	জরিপ পদ্ধতি	জরিপ পদ্ধতি
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Mid-2000s (smartphone-era formalization ~2006–2010)	1983
প্রবর্তক	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing	Mihaly Csikszentmihalyi & Reed Larson
ধরন	Passive and active quantitative data collection technique	Intensive longitudinal data collection technique
মৌলিক উৎস	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.
অপর নাম	mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
সম্পর্কিত	4	5
সারসংক্ষেপ	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.