Advancing Objective Mobile Device Use Measurement in Children Ages 6-11 Through Built-In Device Sensors: A Proof-of-Concept Study.

ABSTRACT: Mobile devices (e.g., tablets and smartphones) have been rapidly integrated into the lives of children and have impacted how children engage with digital media. The portability of these devices allows for sporadic, on-demand interaction, reducing the accuracy of self-report estimates of mobile device use. Passive sensing applications objectively monitor time spent on a given device but are unable to identify who is using the device, a significant limitation in child screen time research. Behavioral biometric authentication, using embedded mobile device sensors to continuously authenticate users, could be applied to address this limitation. This study examined the preliminary accuracy of machine learning models trained on iPad sensor data to identify the unique user of the device in a sampl

SUBMITTER: Finnegan OL 

PROVIDER: S-EPMC12710754 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature