Using mobile device sensors to track children's screen time
Leveraging Embedded Mobile Device Sensors for Detection of Children's Mobile Screen Use: Examining Feasibility and Performance
This study is looking at how the sensors in smartphones and tablets can help us better understand how much time kids spend on screens by figuring out who is using the device, making it easier to get accurate information about their screen habits.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Carolina at Columbia NIH-funded |
| Lab location | 1 site (Columbia, United States) |
| Project ID | NIH-11065809 on NIH RePORTER |
What this research studies
This research investigates how built-in sensors in mobile devices can accurately measure children's screen time by identifying who is using the device. It aims to overcome the limitations of current methods, such as direct observation and self-reporting, which often fail to capture the true nature of screen use. By employing machine learning models trained on data from sensors like accelerometers and gyroscopes, the study seeks to improve the accuracy of screen time measurements for children. This innovative approach could provide valuable insights into children's mobile device usage patterns.
Who could benefit from this research
Good fit: Ideal candidates for this research include children aged 0-11 years who use mobile devices.
Not a fit: Patients who do not use mobile devices or are older than 11 years may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate tracking of children's screen time, helping parents and healthcare providers better understand and manage children's mobile device use.
How similar studies have performed: While the use of mobile device sensors for behavioral monitoring is established, applying this technology specifically to measure children's screen time is a novel approach.
Where this research is happening
Columbia, United States
- University of South Carolina at Columbia — Columbia, United States (Active)
Researchers
- Principal investigator: Finnegan, Olivia — University of South Carolina at Columbia
- Study coordinator: Finnegan, Olivia
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.