m-py / jexp

Faciliates creation of browser experiments using JavaScript

jExp

jExp is a JavaScript framework that will enable you to run psychological experiments in your browser.

At the moment it is in developement and can be used to control the timing and display of plain html and html canvas stimuli in a browser. However, the reaction time and event recording is not yet fully implemented. If you are looking for a more mature platform to program your browser experiments in, consider jspsych.

TO DO

major problems

• fix bug that causes experiment canvas height larger than window height -- this is probably a browser side problem
• i reduced size by 30px, but there must be a better way (or is there?)

to be worked on

0. implement html features and refine integration with canvas

• first: finalize DOMC and MC items (especially data storage)
• modularize data storage, presentation, and integration with the jExp environment!

1. pack everything into a proper namespace and reduce possible name space conflicts (see http://learn.jquery.com/using-jquery-core/avoid-conflicts-other-libraries/)
2. Make Stimulus.waitEvent() more flexible -- sort of done

• add callbacks that can react on any user-defined events!
• solution: call showNext directly from within Stimulus method! (current solution: set duration to negative number so that the timer does not run out)

3. Add possibility to insert images (probably only works in 'html' mode)
4. Set up Wiki and a tutorial
5. (see 2) implement possibility to use canvas OR html presentation

• make this a Stimulus property? presentationType = "canvas" or "html"

7. add accessible API, which can be used to append functions to stimuli; these functions must have access to Experiment and Stimulus properties, which is the most difficult thing to implement in an easy API

minor

1. Implement more stimuli features in new Stimulus implementation (rectangle, triangle, ...)
2. implement functions to manipulate experimental flow?

• it already works quite well by using common for-loops (see Simon experiment)

3. Work on data storage

• results are saved to a JSON string.
• Implement functions that analyze data?
• Server interaction?