Analysis and test of sound delay on Web Audio under different situations

Jia, Ruo; Guo, Hong; Wang, Yonghao; Zhang, Jin

doi:10.1109/iciea.2018.8397949

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Second, the computational load on the current browser window will slow the event loop down; variance in timing is, therefore, dependent on different computers, browsers, and computational loads (Jia, Guo, Wang, & Zhang, 2018). For a best-practices overview, see Garaizar and Reips (2018).…”

Section: History Of Timing Concernsmentioning

confidence: 99%

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.

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Section: History Of Timing Concernsmentioning

confidence: 99%

Gorilla in our midst: An online behavioral experiment builder

et al. 2019

View full text Add to dashboard Cite

show abstract

“…For a list of examples see: www.developer.mozilla.org/en-US/docs/Web/API 6 For instance, you may try and present auditory and visual stimuli at the same time, but they could end up out of synchronisation if blocking occurs -a common manifestation of this in web videos is unsynchronised audio and video. Secondly, the computational load on the current browser window will slow the event loop down; variance in timing is, therefore, dependent on different computers, browsers and computational load (Jia, Guo, Wang, & Zhang, 2018). For a best practices overview see Garaizar and Reips (2018).…”

Section: History Of Timing Concernsmentioning

confidence: 99%

Gorilla in our Midst: An online behavioral experiment builder

Anwyl-Irvine

Massonnié

Flitton

et al. 2018

Preprint

168

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

Analysis and test of sound delay on Web Audio under different situations

Cited by 2 publications

References 6 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

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