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Expert Insights into Collecting Data with Mobile Applications - An Interview with Lukas Otto and Mareike Wieland

Lukas Otto and Mareike Wieland
Version: 1.0
Provider: GESIS Guides to Digital Behavioral Data (DBD)
Abstract: Mobile devices are ubiquitous, and a large number of people have them with them almost all of the time. This provides huge opportunities for computational social science research. On the one hand, mobile data allows for ‘in-the-moment' measures of self-reports, using mobile experience sampling or digital diaries. On the other hand, smartphones and other mobile devices produce sensing and tracking data that can be used to measure people’s behavior in a very fine-grained and unobtrusive way. In combination, mobile designs and mobile digital behavioral data might answer questions in social scienc ... more
Topics: data collection | (mobile) experience sampling method (ESM) | ecological momentary assessment (EMA) | designed data | intensive longitudinal designs | mobile survey | research software development | GESIS AppKit
Citation: Otto, L., Wieland, M. (2024): Expert Insights into Collecting Data with Mobile applications. An Interview with Lukas Otto and Mareike Wieland (=GESIS Guides to Digital Behavioral Data, 18). Cologne: GESIS – Leibniz Insti- tute for the Social Sciences.
Entry in the subject portal: GESIS Guides