Data collection with wearable devices 1 |
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| Coordinator 1 | Dr Alexander Wenz (University of Mannheim) |
| Coordinator 2 | Professor Christopher Antoun (University of Maryland) |
Wearable devices, such as smart watches and activity trackers, are increasingly used for data collection in the social, behavioral, and health sciences. Equipped with a wide range of sensors, these devices allow researchers to measure physical activity, sleep behavior, and cardiovascular health, among many other things. While most previous sensor-based studies were implemented on small-scale samples of volunteers, recent studies have started to extend this approach to larger samples of the general population.
Despite the proliferation of wearable devices as tools for data collection, the potential sources of error in such data are not yet fully understood. In this session, we welcome contributions that examine and improve the quality of data collection with wearable devices, for example:
• Recruitment; nonparticipation; non-adherence
• Measurement error
• Weighting; imputation
• Fieldwork; implementation issues
• Errors when processing and interpreting sensor data
• Consent; privacy