Behavioral motion patterns to predict child mobile device use: Evaluating model performance across a standardized screen time protocol - Takeaways - MDSpire
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Using Behavioral Motion Patterns to Predict Children’s Mobile Device Use: Model Performance Under a Standardized Screen-Time Protocol

  • By

  • Olivia L. Finnegan

  • Bridget Armstrong

  • Elizabeth L. Adams

  • Sarah Burkart

  • Michael W. Beets

  • James W. White, III

  • Joshua Culverhouse

  • Srihari Nelakuditi

  • Zifei Zhong

  • Hongpeng Yang

  • Keagan P. Kiely

  • Rahul Ghosal

  • Robert G. Weaver

  • October 11, 2026

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  • 1

    Passive mobile sensing records device use but cannot identify which family member is using a shared device.

  • 2

    The study tested whether motion-sensor data and machine learning could distinguish children from parents during a standardized screen-time protocol.

  • 3

    Standardizing games addressed whether models could recognize users rather than game-specific motion patterns.

  • 4

    The protocol also assessed performance on unseen games whose data were excluded from model training.

  • 5

    The study compared training conditions in which the parent was included or absent from the training data.

Original Source(s)

Behavioral motion patterns to predict child mobile device use: Evaluating model performance across a standardized screen time protocol

  • by Olivia L. Finnegan, Bridget Armstrong, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, James W. White, III, Joshua Culverhouse, Srihari Nelakuditi, Zifei Zhong, Hongpeng Yang, Keagan P. Kiely, Rahul Ghosal, Robert G. Weaver

  • October 11, 2026

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