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| Събиране на данни от сензори лице в лице× | Мобилно събиране на преживявания× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1990s–2000s (growth with wearable/biosensor technology) | 1983 |
| Създател≠ | Emerging from ambulatory assessment and wearable computing research communities | Mihaly Csikszentmihalyi & Reed Larson |
| Тип≠ | Quantitative / mixed-methods data collection technique | Intensive longitudinal data collection technique |
| Основополагащ източник≠ | Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176. DOI ↗ | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| Други названия | in-person sensor data collection, proximate biosensor data collection, face-to-face ambulatory assessment, on-site sensor recording | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Свързани≠ | 4 | 5 |
| 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 Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life. |
| ScholarGateНабор от данни ↗ |
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