Salīdzināt metodes

	Telefona atbalstīta sensoru datu vākšana	Mobilā pieredzes izlase
Nozare	Aptauju metodoloģija	Aptauju metodoloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s–2010s (aligned with smartphone proliferation)	1983
Autors	Emerging from ubiquitous computing and digital health research communities; no single originator	Mihaly Csikszentmihalyi & Reed Larson
Tips	Passive and active data collection via telephone/smartphone sensors	Intensive longitudinal data collection technique
Pirmavots	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.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
Citi nosaukumi	phone-based sensor data collection, telephone-mediated sensor monitoring, mobile phone sensor data collection, TASDC	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Saistītās	5	5
Kopsavilkums	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 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.