เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การเก็บข้อมูลเซ็นเซอร์แบบเผชิญหน้า× | การเก็บข้อมูลเซ็นเซอร์เคลื่อนที่× | |
|---|---|---|
| สาขาวิชา | ระเบียบวิธีสำรวจ | ระเบียบวิธีสำรวจ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1990s–2000s (growth with wearable/biosensor technology) | Mid-2000s (smartphone-era formalization ~2006–2010) |
| ผู้ริเริ่ม≠ | Emerging from ambulatory assessment and wearable computing research communities | Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing |
| ประเภท≠ | Quantitative / mixed-methods data collection technique | Passive and active quantitative data collection technique |
| แหล่งต้นตำรับ≠ | Trull, 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 ↗ |
| ชื่อเรียกอื่น | 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 |
| ที่เกี่ยวข้อง | 4 | 4 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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