Linganisha mbinu

	Ukusanyaji wa Data kwa Kutumia API za Simu za Mkononi	Njia ya Sampuli ya Uzoefu wa Simu (Mobile Experience Sampling Method
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2007–2010 (mainstream smartphone era)	1983–1987
Mwanzilishi	Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)	Mihaly Csikszentmihalyi & Reed Larson
Aina	Digital data collection technique	Intensive longitudinal data collection technique
Chanzo asilia	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.
Majina mbadala	mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection	ESM, ecological momentary assessment, EMA, daily diary via mobile
Zinazohusiana	6	4
Muhtasari	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.	The Mobile Experience Sampling Method (ESM) collects repeated, time-stamped self-reports from participants in their natural environment using a smartphone app. By signaling participants multiple times per day over days or weeks, researchers capture psychological states, behaviors, and contexts as they occur — eliminating retrospective bias and revealing within-person dynamics that single-session surveys cannot detect.