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

Year: 2025

Type: article

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.

Source: Technische Universität Berlin – Universitätsbibliothek

DOI: 10.14279/eceasst.v85.2698

Authors: Kremer, Dominik, Wagner, Andreas, Jelinski, Sarah, Walker, Blake

Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7115594565

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