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Screen Use Measurement Tools: A Mapping of Instruments, Gaps, and Future Directions.

Rinanda Shaleha1,2, Nelson Roque1,2, Hailey Andrews2

  • 1Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA.

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Summary
This summary is machine-generated.

Current screen time measures are too broad, often focusing on negative impacts and lacking detail. New tools are needed to better understand digital behavior

Keywords:
device-logged datadigital behaviorlifespan developmentmeasurement mappingopportunity costscreen use

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Area of Science:

  • Digital well-being research
  • Human-computer interaction
  • Psychological measurement

Background:

  • Screen usage research often uses "screen time," a broad metric.
  • This metric fails to distinguish between different digital activities and their impacts.
  • Existing measures lack nuance regarding context, age, and positive aspects of use.

Purpose of the Study:

  • To conduct a rapid review and methodological mapping of 36 screen use measurement tools.
  • To identify gaps and limitations in current digital behavior assessment.
  • To propose a blueprint for developing more comprehensive and balanced measurement tools.

Main Methods:

  • A rapid review and methodological mapping of 36 screen use measurement tools.
  • Three independent coders classified tools using a piloted framework.
  • Framework assessed constructs, data collection, temporal specificity, framing, opportunity cost, social context, age focus, reliability, and validity.

Main Results:

  • Most instruments focused on negative aspects (impairment, loss of control) and adolescents.
  • Few tools assessed opportunity costs, social context, or validated against device data.
  • Lack of measures emphasizing positive or beneficial screen engagement was noted.

Conclusions:

  • Current screen use measures are limited, often negatively framed and lacking temporal precision.
  • There is a need for more balanced tools integrating objective tracking with context-sensitive self-report.
  • Future tools should improve temporal anchoring, broaden age inclusion, assess social context, and include validation.