方法对比

	移动API数据收集	Mobile Experience Sampling
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	2007–2010 (mainstream smartphone era)	1983
提出者	Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)	Mihaly Csikszentmihalyi & Reed Larson
类型	Digital data collection technique	Intensive longitudinal data collection technique
开创性文献	Luce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
别名	mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
相关	6	5
摘要	Mobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs.	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.