SpaceLog: An app for collecting multi-modal place-based data

Authors

  • Dominik Kremer Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Andreas Wagner Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Sarah Jelinski Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Blake Byron

DOI:

https://doi.org/10.14279/eceasst.v85.2698

Keywords:

research software engineering, mobile application, mental-health, self-reported health

Abstract

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.

Downloads

Published

2025-12-15

How to Cite

[1]
D. Kremer, A. Wagner, S. Jelinski, and B. Walker, “SpaceLog: An app for collecting multi-modal place-based data”, ECEASST, vol. 85, Dec. 2025.