Сравнение на методи

	Събиране на данни от сензори лице в лице	Събиране на данни чрез мобилни сензори
Област	Методология на проучванията	Методология на проучванията
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1990s–2000s (growth with wearable/biosensor technology)	Mid-2000s (smartphone-era formalization ~2006–2010)
Създател	Emerging from ambulatory assessment and wearable computing research communities	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing
Тип	Quantitative / mixed-methods data collection technique	Passive and active quantitative data collection technique
Основополагащ източник	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.
Други названия	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
Свързани	4	4
Резюме	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.