Linganisha mbinu

	Ukusanyaji wa Data wa Kihisi kwa Njia ya Simu	Uzoefu wa Simu ya Mkononi
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000s–2010s (aligned with smartphone proliferation)	1983
Mwanzilishi	Emerging from ubiquitous computing and digital health research communities; no single originator	Mihaly Csikszentmihalyi & Reed Larson
Aina	Passive and active data collection via telephone/smartphone sensors	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	phone-based sensor data collection, telephone-mediated sensor monitoring, mobile phone sensor data collection, TASDC	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Zinazohusiana	5	5
Muhtasari	Telephone-assisted sensor data collection uses participants' mobile phones as sensing platforms to gather continuous or triggered streams of physical and behavioral data — such as movement, location, and ambient sound — without requiring them to attend a lab. A research application installed on the phone captures sensor readings and transmits them to a central server, enabling large-scale, ecologically valid measurement of real-world behavior over days or weeks.	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.