Linganisha mbinu

	Ukusanyaji wa Data kwa Kutumia Viisimu vya Simu	Uzoefu wa Simu ya Mkononi
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Mid-2000s (smartphone-era formalization ~2006–2010)	1983
Mwanzilishi	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing	Mihaly Csikszentmihalyi & Reed Larson
Aina	Passive and active quantitative data collection technique	Intensive longitudinal data collection technique
Chanzo asilia	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.
Majina mbadala	mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Zinazohusiana	4	5
Muhtasari	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.