SimplePhy: An open-source tool for quick online perception experiments

SimplePhy:用于快速在线感知实验的开源工具

阅读:5
作者:Miguel A Lago

Abstract

Because of the COVID-19 pandemic, researchers are facing unprecedented challenges that affect our ability to run in-person experiments. With mandated social distancing in a controlled laboratory environment, many researchers are searching for alternative options to conduct research, such as online experimentation. However, online experimentation comes at a cost; learning online tools for building and publishing psychophysics experiments can be complicated and time-consuming. This learning cost is unfortunate because researchers typically only need to use a small percentage of these tools' capabilities, but they still have to deal with these systems' complexities (e.g., complex graphical user interfaces or difficult programming languages). Furthermore, after the experiment is built, researchers often have to find an online platform compatible with the tool they used to program the experiment. To simplify and streamline the online process of programming and hosting an experiment, I have created SimplePhy. SimplePhy can save researchers' time and energy by allowing them to create a study in just a few clicks. All researchers have to do is select among a few experiment settings and upload the stimuli. SimplePhy is able to run most psychophysical perception experiments that require mouse clicks and button presses. In addition to collecting online behavioral data, SimplePhy can also collect information regarding the estimated viewing distance between the participant and the monitor, the screen size, and the experimental trial's timing-features not always offered in other online platforms. Overall, SimplePhy is a simple, free, open-source tool (code can be found here: https://gitlab.com/malago/simplephy ) aimed to help labs conduct their experiments online.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。