Auditory presentation and synchronization in Adobe Flash and HTML5/JavaScript Web experiments

Reimers, Stian; Stewart, Neil

doi:10.3758/s13428-016-0758-5

Cited by 35 publications

(28 citation statements)

References 33 publications

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“…date web browser is likely to struggle to present stimuli to the same accuracy as a multicore desktop with the most recent version of Google Chrome installed. These variances can represent variance of over 100 ms in presentation timing (Reimers & Stewart, 2016).…”

Section: History Of Timing Concernsmentioning

confidence: 99%

“…The presentation of stimuli are achieved using the requestAnimationFrame() function, which allows the software to count frames and run code when the screen is about to be refreshed, ensuring that screen-refreshing in the animation loop does not cause hugely inconsistent presentation. This method has previously been implemented to achieve accurate audio presentation (Reimers & Stewart, 2016) and accurate visual presentation (Yung, Cardoso-Leite, Dale, Bavelier, & Green, 2015). Rather than assuming that each frame is going to be presented for 16.667 ms, and presenting a stimulus for the nearest number of frames (something that commonly happens), Gorilla times each frame's actual duration-using requestAnimationFrame().…”

Section: Timing Controlmentioning

confidence: 99%

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Gorilla in our midst: An online behavioral experiment builder

et al. 2019

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Behavioral researchers are increasingly conducting their studies online, to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web browsers can present problems for consistent timing-an important issue with reaction-time-sensitive measures. For example, to ensure accuracy and test-retest reliability in presentation and response recording, experimenters need a working knowledge of programming languages such as JavaScript. We review some of the previous and current tools for online behavioral research, as well as how well they address the issues of usability and timing. We then present the Gorilla Experiment Builder (gorilla.sc), a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues and make reliable online experimentation open and accessible to a wider range of technical abilities. To demonstrate the platform's aptitude for accessible, reliable, and scalable research, we administered a task with a range of participant groups (primary school children and adults), settings (without supervision, at home, and under supervision, in both schools and public engagement events), equipment (participant's own computer, computer supplied by the researcher), and connection types (personal internet connection, mobile phone 3G/4G). We used a simplified flanker task taken from the attentional network task (Rueda, Posner, & Rothbart, 2004). We replicated the Bconflict network^effect in all these populations, demonstrating the platform's capability to run reaction-time-sensitive experiments. Unresolved limitations of running experiments online are then discussed, along with potential solutions and some future features of the platform.

show abstract

Section: History Of Timing Concernsmentioning

confidence: 99%

Section: Timing Controlmentioning

confidence: 99%

Gorilla in our midst: An online behavioral experiment builder

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A laptop with a single processor, a small amount of memory, and an out-of-date web-browser is likely to struggle to present stimuli to the same accuracy as a multi-core desktop with the most recent version of Google Chrome installed. These variances can represent variance of over 100 ms in presentation timing (Reimers & Stewart, 2016). Thirdly, by default, web browsers load external resources (such as images or videos) progressively as soon as the HTML elements that use them are added to the page.…”

Section: History Of Timing Concernsmentioning

confidence: 99%

“…The presentation of stimuli are achieved using the requestAnimationFrame() function, which allows the software to count frames and run code when the screen is about to be refreshed ensuring screen-refreshing in the animation loop does not cause hugely inconsistent presentation. This method has previously been implemented to achieve accurate audio presentation (Reimers & Stewart, 2016) and accurate visual presentation (Yung, Cardoso-Leite, Dale, Bavelier, & Green, 2015).Rather than assuming that each frame is going to be presented for 16.667 ms, and presenting a stimulus for the nearest number of frames (something that commonly happens), Gorilla times each frame's actual durationusing requestAnimationFrame(). The number of frames a stimulus is presented for can, therefore, be adjusted depending on the duration of each frame -so that most of the time a longer frame refresh (due to lag) will not lead to a longer stimulus duration.…”

Section: Timing Controlmentioning

confidence: 99%

Gorilla in our Midst: An online behavioral experiment builder

Anwyl-Irvine

Massonnié

Flitton

et al. 2018

Preprint

169

162

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Behavioural researchers are increasingly conducting their studies online to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web-browsers can present problems for consistent timingan important issue with reaction time-sensitive measures. For example, to ensure accuracy and test-retest reliability in presentation and response recording, experimenters need a working knowledge of programming languages such as JavaScript. We review some of the previous and current tools for online behavioural research, and how well they address the issues of usability and timing. We then present The Gorilla Experiment Builder (gorilla.sc) a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues, and make reliable online experimentation open and accessible to a wider range of technical abilities. In order to demonstrate the platform's aptitude for accessible, reliable and scalable research, we administered the task with a range of participant groups (primary school children and adults), settings (without supervision, at home, and under supervision, in schools and public engagement events), equipment (own computers, computer supplied by researcher), and connection types (personal internet connection, mobile phone 3G/4G). We used a simplified flanker task, taken from the Attentional Networks Task (Rueda, Posner, & Rothbart, 2004). We replicated the 'conflict network' effect in all these populations, demonstrating the platform's capability to run reaction timesensitive experiments. Unresolved limitations of running experiments online are then discussed, along with potential solutions, and some future features of the platform.

show abstract

“…A laptop with a single processor, a small amount of memory, and an out-of-date web browser is likely to struggle to present stimuli to the same accuracy as a multicore desktop with the most recent version of Google Chrome installed. These variances can represent variance of over 100 ms in presentation timing (Reimers & Stewart, 2016).…”

Section: History Of Timing Concernsmentioning

confidence: 99%

Gorilla in our Midst: An online behavioral experiment builder

Anwyl-Irvine¹,

Massonnié²,

Flitton³

et al. 2018

Preprint

View full text Add to dashboard Cite

Behavioural researchers are increasingly conducting their studies online to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web-browsers can present problems for consistent timing – an important issue with reaction time-sensitive measures. For example, to ensure accuracy and test-retest reliability in presentation and response recording, experimenters need a working knowledge of programming languages such as JavaScript. We review some of the previous and current tools for online behavioural research, and how well they address the issues of usability and timing. We then present The Gorilla Experiment Builder (gorilla.sc) a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues, and make reliable online experimentation open and accessible to a wider range of technical abilities. In order to demonstrate the platform’s aptitude for accessible, reliable and scalable research, we administered the task with a range of participant groups (primary school children and adults), settings (without supervision, at home, and under supervision, in schools and public engagement events), equipment (own computers, computer supplied by researcher), and connection types (personal internet connection, mobile phone 3G/4G). We used a simplified flanker task, taken from the Attentional Networks Task (Rueda, Posner, & Rothbart, 2004). We replicated the ‘conflict network’ effect in all these populations, demonstrating the platform’s capability to run reaction time-sensitive experiments. Unresolved limitations of running experiments online are then discussed, along with potential solutions, and some future features of the platform.

show abstract

Auditory presentation and synchronization in Adobe Flash and HTML5/JavaScript Web experiments

Cited by 35 publications

References 33 publications

Gorilla in our midst: An online behavioral experiment builder

Gorilla in our midst: An online behavioral experiment builder

Gorilla in our Midst: An online behavioral experiment builder

Gorilla in our Midst: An online behavioral experiment builder

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