SpaceLog: An app for collecting multi-modal place-based data
DOI:
https://doi.org/10.14279/eceasst.v85.2698Keywords:
research software engineering, mobile application, mental-health, self-reported healthAbstract
Collecting multi-modal data in the context of self-reported health relies on a well established inventory of qualitative methods like go-along interviews or photo documentations. Building on and aiming at established workflows of place- based GIS, in this paper, we present our mobile application SpaceLog and an associated dashboard meant to provide a digital means to collect rich multimodal place-
based data (speech, audio, emotions) enabling mixed-method analyses addressing qualitative empirical research on place-based individual wellbeing.
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Copyright (c) 2025 Dominik Kremer, Andreas Wagner, Sarah Jelinski, Blake Byron

This work is licensed under a Creative Commons Attribution 4.0 International License.
