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This study shows that custom data loggers can feasibly track modified ride-on car (MROC) use remotely. MROC usage decreased over time, despite positive parent perceptions.

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Area of Science:

  • Assistive technology research
  • Pediatric rehabilitation engineering
  • Human-computer interaction in healthcare

Background:

  • Modified ride-on cars (MROCs) offer therapeutic benefits for children.
  • Current methods for tracking MROC use in naturalistic settings are limited.
  • Objective data on long-term MROC engagement is needed.

Purpose of the Study:

  • To develop and implement a novel data logger for MROC usage.
  • To assess the feasibility of remote, long-term data collection.
  • To describe MROC usage patterns and parent perceptions.

Main Methods:

  • A custom data logger using an Arduino Pro-Mini microprocessor was designed and integrated into MROCs.
  • The system enabled real-time, remote data capture in home and community environments.
  • A descriptive study design was employed to analyze collected data.

Main Results:

  • Remote tracking of MROC use in community settings is feasible.
  • MROC usage patterns showed high initial engagement that decreased over time.
  • Usage varied in bout duration and play session length, aligning with caregiver reports.

Conclusions:

  • Automated remote tracking of MROC use is a viable method.
  • This technology can reduce caregiver burden and provide valuable clinical data.
  • Understanding usage trends can inform therapeutic interventions and technology development.