Linganisha mbinu

	Ukusanyaji wa Data kwa Kutumia Viisambaza-data Ana kwa Ana	Ukusanyaji wa Data kwa Kutumia Viisimu vya Simu
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1990s–2000s (growth with wearable/biosensor technology)	Mid-2000s (smartphone-era formalization ~2006–2010)
Mwanzilishi	Emerging from ambulatory assessment and wearable computing research communities	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing
Aina	Quantitative / mixed-methods data collection technique	Passive and active quantitative data collection technique
Chanzo asilia	Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176.	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.
Majina mbadala	in-person sensor data collection, proximate biosensor data collection, face-to-face ambulatory assessment, on-site sensor recording	mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection
Zinazohusiana	4	4
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 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.