Peer-reviewed article
Comparison of Capturing Children's Technology Use Using Wearable Camera and Fixed Room Video: Experimental Laboratory Study.
Beynon A, Lund Rasmussen C, Hendry D, Thomas G, Davey P et al. ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study compares two methods for recording children's technology use: wearable cameras worn by children and fixed room video cameras. Researchers had 44 children aged 3-14 perform tasks while being recorded by both methods simultaneously, then coded what technology each method captured. The two methods showed low agreement overall, with wearable cameras better at capturing active use and content, while room video better captured context and stationary devices. The study found no single ideal method for measuring children's technology use.
Key points
- Low overall agreement between wearable camera and room video coding of technology use
- Highest agreement for 'desktop' and 'handheld gaming' categories
- Lowest agreement for 'smartwatch' technology
- Wearable cameras better capture active use, content, and use across locations
- Room video better captures context and technology within fixed spaces
Limitations
This is a methodological study comparing measurement approaches rather than evaluating an intervention to address a child well-being problem. It cannot tell us about the actual health or developmental impacts of technology use on children, only about how to measure it.
Abstract
Background Technology use by children has implications for their physical, mental, and social health and development. There are many challenges in measuring modern screen use by children. To better understand the potential impact of technology on children, it is crucial to have robust methods to measure technology use. Visual recording data may be particularly well suited to capture modern digital technology use (eg, rapid transitions, multitasking, and device switching). It would be valuable to directly compare the 2 commonly used methods (wearable camera images and room video frames) to determine what is captured best by each and how they compare when both are coded by human annotation. Objective This study aimed to compare wearable camera images and room video frames to understand what can be captured from each source. Methods In a laboratory study, children (aged 3-14 years) performed various tasks while wearing a wearable camera and being video recorded by room video cameras. Comparisons between the coding of the wearable camera images and room video frames were performed on a second-by-second basis. Confusion matrices were generated to identify patterns of differences in classifications between wearable camera images and room video frame coding. Percent agreement between the wearable camera image and room video frame coding was calculated based on the confusion matrix. Results Across 44 participants, 182,451 contemporaneous wearable camera images and room video frames were coded and merged. There were generally low levels of agreement between the codes. The highest agreement was found for "desktop" and "handheld gaming," and the lowest agreement was found for "smartwatch." The wearable camera and room video methods varied in sampling rate, camera movement, and field of view, leading to differences in what was captured. Conclusions Room video might better capture technology that is within a set space and the context of the technology use, while wearable cameras could better capture active technology use, the content of technology, and different locations. Capturing technology use by children is difficult, with no gold standard and no one ideal method.