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Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Innsamling av sensordata ansikt til ansikt×Innsamling av mobile sensordata×
FagfeltSurveymetodikkSurveymetodikk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår1990s–2000s (growth with wearable/biosensor technology)Mid-2000s (smartphone-era formalization ~2006–2010)
OpphavspersonEmerging from ambulatory assessment and wearable computing research communitiesAndrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing
TypeQuantitative / mixed-methods data collection techniquePassive and active quantitative data collection technique
Opprinnelig kildeTrull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176. DOI ↗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. DOI ↗
Aliasin-person sensor data collection, proximate biosensor data collection, face-to-face ambulatory assessment, on-site sensor recordingmobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection
Relaterte44
SammendragFace-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.
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ScholarGateSammenlign metoder: Face-to-face Sensor Data Collection · Mobile Sensor Data Collection. Hentet 2026-06-17 fra https://scholargate.app/no/compare