Literature DB >> 11447672

Presentation accuracy of Web animation methods.

W C Schmidt1.   

Abstract

Several Web animation methods were independently assessed on fast and slow systems running two popular Web browsers under MacOS and Windows. The methods assessed included those requiring programming (Authorware, Java, Javascript/Jscript), browser extensions (Flash and Authorware), or neither (animated GIF). The number of raster scans that an image in an animation was presented for was counted. This was used as an estimate of the minimum presentation time for the image when the software was set to update the animation as quickly as possible. In a second condition, the image was set to be displayed for 100 msec, and differences between observed and expected presentations were used to assess accuracy. In general, all the methods except Java deteriorated as a function of the speed of the computer system, with the poorest temporal resolutions and greatest variability occurring on slower systems. For some animation methods, poor performance was dependent on browser, operating system, system speed, or combinations of these.

Entities:  

Mesh:

Year:  2001        PMID: 11447672     DOI: 10.3758/bf03195365

Source DB:  PubMed          Journal:  Behav Res Methods Instrum Comput        ISSN: 0743-3808


  7 in total

1.  Collecting response times using Amazon Mechanical Turk and Adobe Flash.

Authors:  Travis Simcox; Julie A Fiez
Journal:  Behav Res Methods       Date:  2014-03

2.  Measuring software timing errors in the presentation of visual stimuli in cognitive neuroscience experiments.

Authors:  Pablo Garaizar; Miguel A Vadillo; Diego López-de-Ipiña; Helena Matute
Journal:  PLoS One       Date:  2014-01-07       Impact factor: 3.240

3.  Accuracy and precision of visual stimulus timing in PsychoPy: no timing errors in standard usage.

Authors:  Pablo Garaizar; Miguel A Vadillo
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

4.  Presentation accuracy of the web revisited: animation methods in the HTML5 era.

Authors:  Pablo Garaizar; Miguel A Vadillo; Diego López-de-Ipiña
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

5.  The effect of noise-induced variance on parameter recovery from reaction times.

Authors:  Miguel A Vadillo; Pablo Garaizar
Journal:  BMC Bioinformatics       Date:  2016-03-31       Impact factor: 3.169

6.  Mental chronometry in the pocket? Timing accuracy of web applications on touchscreen and keyboard devices.

Authors:  Thomas Pronk; Reinout W Wiers; Bert Molenkamp; Jaap Murre
Journal:  Behav Res Methods       Date:  2020-06

7.  Accuracy and precision of stimulus timing and reaction times with Unreal Engine and SteamVR.

Authors:  Michael Wiesing; Gereon R Fink; Ralph Weidner
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

  7 in total

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