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Presentation and response timing accuracy in Adobe Flash and HTML5/JavaScript Web experiments.

Stian Reimers1, Neil Stewart

  • 1Department of Psychology, City University London, Northampton Square, London, EC1V 0HB, UK, stian.reimers@city.ac.uk.

Behavior Research Methods
|June 7, 2014
PubMed
Summary
This summary is machine-generated.

Adobe Flash and HTML5 (HyperText Markup Language 5) with JavaScript accurately measure response times online. Both methods show similar accuracy and minimal variability across diverse computer systems, making them suitable for behavioral science research.

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Area of Science:

  • Behavioral Science
  • Human-Computer Interaction
  • Psychological Research Methods

Background:

  • Web-based research is increasingly common in behavioral sciences.
  • There's a growing need for accurate online measurement of response times.
  • Existing data on online timing accuracy and variability are limited.

Purpose of the Study:

  • To assess the accuracy and variability of online response time measurement using Adobe Flash and HTML5.
  • To compare measurement precision across 19 different computer systems.
  • To evaluate the impact of browser, system hardware, and load on timing accuracy.

Main Methods:

  • Experiments were conducted online using Adobe Flash and HTML5 (with CSS3 and JavaScript).
  • Specialist hardware measured stimulus display durations and response times.
  • Data were collected across 19 diverse computer systems to assess variability.

Main Results:

  • Adobe Flash and HTML5 (JavaScript) demonstrated similar accuracy in presentation and response time measurement.
  • Within-system variability was generally small, even under high load.
  • Across-system variability was larger, but browser and hardware effects were minimal.
  • Modeling suggests both platforms are suitable for detecting response time differences in most experimental designs.

Conclusions:

  • Adobe Flash and HTML5 are viable tools for accurate online response time measurement in behavioral research.
  • The observed variability is unlikely to impede the detection of effects in typical within- and between-subjects designs.
  • Caution is advised for correlational or longitudinal studies due to potential online measurement variability.