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A simple location-tracking app for psychological research.

Kristoffer Geyer1, David A Ellis2, Lukasz Piwek3

  • 1Department of Psychology, Lancaster University, Lancaster, UK.

Behavior Research Methods
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Researchers developed a free Android app for accurate, secure location logging in studies. This overcomes limitations of manual reporting and expensive commercial tools, empowering ethical data collection.

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Digital tracesEcological momentary assessmentGPSLocation semantics

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Area of Science:

  • Human-Computer Interaction
  • Mobile Sensing
  • Geospatial Data Analysis

Background:

  • Understanding individuals and groups often relies on location data.
  • Previous methods required active participant reporting or costly commercial smartphone apps.
  • Existing tools are not optimized for research purposes, posing accessibility and cost barriers.

Purpose of the Study:

  • To introduce a novel, freely available Android application for precise location data logging.
  • To address the limitations of existing methods in terms of cost, researcher-friendliness, and participant control.
  • To facilitate ethical and efficient collection of geospatial data in research settings.

Main Methods:

  • Development of a custom Android application for passive location data acquisition.
  • Implementation of secure data storage protocols.
  • Integration of participant-controlled consent and withdrawal mechanisms.
  • Provision of accompanying R code for data analysis.

Main Results:

  • The developed application provides accurate and secure location logging.
  • It offers a cost-effective and researcher-oriented solution compared to commercial alternatives.
  • Participants can manage their consent and withdrawal easily, ensuring ethical compliance.
  • The tool supports subsequent data analysis with provided R scripts.

Conclusions:

  • The free Android application offers a viable, ethical, and efficient solution for researchers needing location data.
  • It democratizes the use of smartphone-based location sensing in scientific studies.
  • The tool enhances the feasibility of collecting rich geospatial datasets for understanding human behavior.