We developed the Lang-Track-App in a cross-functional team consisting of
software and mobile developers as well as researchers in linguistics and
psychology. We collaborated on the design and implementation of three
connected tools:
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Mobile survey application.
Native iOS and Android apps for signalling research participants via
push notifications and collecting survey responses.
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Administrative website.
A researcher-facing interface for uploading surveys, scheduling
notifications, and exporting data.
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Web service and database.
The backend for the app and website, storing user lists, survey
schedules, and questionnaire data.
We began with a scoping review of available tools and methods to identify
barriers and opportunities for better meeting researchers' goals and
requirements. A key insight was that the application needed to support
customised adaptations for a wide range of research projects, while also
giving researchers complete control over data flow and data management in
order to comply with ethical guidelines and GDPR regulations.
Following an agile development process, we built an initial minimum viable
product and expanded it through iterative testing with researchers and
research participants. We conducted several shorter pilot tests as well as
two multi-year proof-of-concept studies with two contrasting groups:
university students and adult refugees.
These studies were used both to demonstrate the usability of the
Lang-Track-App in research and to develop best practices for integrating
the tools into the full research process, from study design through data
analysis and communication of findings.