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https://doi.org/10.13094/SMIF-2020-00023

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Using Geofences to Collect Survey Data: Lessons Learned From the IAB-SMART Study

[journal article]

Haas, Georg-Christoph
Trappmann, Mark
Keusch, Florian
Bähr, Sebastian
Kreuter, Frauke

Abstract

Within the survey context, a geofence can be defined as a geographical area that triggers a survey invitation when an individual enters the area, dwells in the area for a defined amount of time or exits the area. Geofences may be used to administer context-specific surveys, such as an evaluation sur... view more

Within the survey context, a geofence can be defined as a geographical area that triggers a survey invitation when an individual enters the area, dwells in the area for a defined amount of time or exits the area. Geofences may be used to administer context-specific surveys, such as an evaluation survey of a shopping experience at a specific retail location. While geofencing is already used in other contexts (e.g., marketing and retail), this technology seems so far to be underutilized in survey research. We implemented a geofence survey in a smartphone data collection project and geofenced 410 job centers with the Google Geofence API. Overall, the app sent 230 geofence-triggered survey invitations to 107 participants and received 224 responses from 104 participants. This article provides an overview of our geofence survey, including our experiences analyzing the data. We highlight the limitations in our design and examine how those shortcomings affect the number of falsely triggered surveys. Subsequently, we formulate the lessons learned that will help researchers improve their own geofence studies.... view less

Keywords
data capture; Federal Republic of Germany; online survey; cell phone; geographical factors; research planning

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
geofence; IAB-SMART; triggered surveys

Document language
English

Publication Year
2020

Page/Pages
p. 1-12

Journal
Survey Methods: Insights from the Field (2020)

Issue topic
Advancements in Online and Mobile Survey Methods

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.