Linganisha mbinu

	Ukusanyaji wa Data kwa Kutumia Viisambaza-data Ana kwa Ana	Uzoefu wa Simu ya Mkononi
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1990s–2000s (growth with wearable/biosensor technology)	1983
Mwanzilishi	Emerging from ambulatory assessment and wearable computing research communities	Mihaly Csikszentmihalyi & Reed Larson
Aina	Quantitative / mixed-methods data collection technique	Intensive longitudinal data collection technique
Chanzo asilia	Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176.	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	in-person sensor data collection, proximate biosensor data collection, face-to-face ambulatory assessment, on-site sensor recording	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Zinazohusiana	4	5
Muhtasari	Face-to-face sensor data collection involves attaching or deploying sensors — physiological, motion, environmental, or proximity-based — on or around participants during in-person research sessions. The co-present setting allows direct researcher oversight of equipment, real-time signal monitoring, and immediate troubleshooting, yielding high-fidelity continuous or event-triggered data streams that capture objective behavioral and physiological indicators as they unfold.	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.