Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Telefonbaserad insamling av sensordata× | Insamling av mobila sensordata× | |
|---|---|---|
| Ämnesområde | Surveymetodik | Surveymetodik |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 2000s–2010s (aligned with smartphone proliferation) | Mid-2000s (smartphone-era formalization ~2006–2010) |
| Upphovsperson≠ | Emerging from ubiquitous computing and digital health research communities; no single originator | Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing |
| Typ≠ | Passive and active data collection via telephone/smartphone sensors | Passive and active quantitative data collection technique |
| Ursprungskälla | 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 ↗ | 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 ↗ |
| Alias | phone-based sensor data collection, telephone-mediated sensor monitoring, mobile phone sensor data collection, TASDC | mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection |
| Närliggande≠ | 5 | 4 |
| Sammanfattning≠ | 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 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. |
| ScholarGateDatamängd ↗ |
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