↓ Skip to main content

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

Overview of attention for article published in Behavior Research Methods, June 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
16 X users
q&a
1 Q&A thread

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
152 Mendeley
Title
Presentation and response timing accuracy in Adobe Flash and HTML5/JavaScript Web experiments
Published in
Behavior Research Methods, June 2014
DOI 10.3758/s13428-014-0471-1
Pubmed ID
Authors

Stian Reimers, Neil Stewart

Abstract

Web-based research is becoming ubiquitous in the behavioral sciences, facilitated by convenient, readily available participant pools and relatively straightforward ways of running experiments: most recently, through the development of the HTML5 standard. Although in most studies participants give untimed responses, there is a growing interest in being able to record response times online. Existing data on the accuracy and cross-machine variability of online timing measures are limited, and generally they have compared behavioral data gathered on the Web with similar data gathered in the lab. For this article, we took a more direct approach, examining two ways of running experiments online-Adobe Flash and HTML5 with CSS3 and JavaScript-across 19 different computer systems. We used specialist hardware to measure stimulus display durations and to generate precise response times to visual stimuli in order to assess measurement accuracy, examining effects of duration, browser, and system-to-system variability (such as across different Windows versions), as well as effects of processing power and graphics capability. We found that (a) Flash and JavaScript's presentation and response time measurement accuracy are similar; (b) within-system variability is generally small, even in low-powered machines under high load; (c) the variability of measured response times across systems is somewhat larger; and (d) browser type and system hardware appear to have relatively small effects on measured response times. Modeling of the effects of this technical variability suggests that for most within- and between-subjects experiments, Flash and JavaScript can both be used to accurately detect differences in response times across conditions. Concerns are, however, noted about using some correlational or longitudinal designs online.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 4%
United States 3 2%
Mexico 2 1%
Italy 1 <1%
Australia 1 <1%
Germany 1 <1%
Canada 1 <1%
Portugal 1 <1%
Colombia 1 <1%
Other 1 <1%
Unknown 134 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 26%
Researcher 26 17%
Student > Bachelor 16 11%
Student > Master 10 7%
Professor 9 6%
Other 30 20%
Unknown 22 14%
Readers by discipline Count As %
Psychology 64 42%
Computer Science 13 9%
Social Sciences 10 7%
Neuroscience 7 5%
Linguistics 5 3%
Other 16 11%
Unknown 37 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2019.
All research outputs
#2,695,713
of 25,373,627 outputs
Outputs from Behavior Research Methods
#312
of 2,525 outputs
Outputs of similar age
#26,356
of 242,854 outputs
Outputs of similar age from Behavior Research Methods
#1
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 242,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.