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Geofencing in location-based behavioral research: Methodology, challenges, and implementation
Geofencing in location-based behavioral research: Methodology, challenges, and implementation
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Geofencing in location-based behavioral research: Methodology, challenges, and implementation
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Geofencing in location-based behavioral research: Methodology, challenges, and implementation
Geofencing in location-based behavioral research: Methodology, challenges, and implementation

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Geofencing in location-based behavioral research: Methodology, challenges, and implementation
Geofencing in location-based behavioral research: Methodology, challenges, and implementation
Journal Article

Geofencing in location-based behavioral research: Methodology, challenges, and implementation

2024
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Overview
This manuscript presents a novel geofencing method in behavioral research. Geofencing, built upon geolocation technology, constitutes virtual fences around specific locations. Every time a participant crosses the virtual border around the geofenced area, an event can be triggered on a smartphone, e.g., the participant may be asked to complete a survey. The geofencing method can alleviate the problems of constant location tracking, such as recording sensitive geolocation information and battery drain. In scenarios where locations for geofencing are determined by participants (e.g., home, workplace), no location data need to be transferred to the researcher, so this method can ensure privacy and anonymity. Given the widespread use of smartphones and mobile Internet, geofencing has become a feasible tool in studying human behavior and cognition outside of the laboratory. The method can help advance theoretical and applied psychological science at a new frontier of context-aware research. At the same time, there is a lack of guidance on how and when geofencing can be applied in research. This manuscript aims to fill the gap and ease the adoption of the geofencing method. We describe the current challenges and implementations in geofencing and present three empirical studies in which we evaluated the geofencing method using the Samply application, a tool for mobile experience sampling research. The studies show that sensitivity and precision of geofencing were affected by the type of event, location radius, environment, operating system, and user behavior. Potential implications and recommendations for behavioral research are discussed.