getEyeTracker(id).train() (since PennController 1.8)
or getEyeTracker(id).train(true)
Starts using mouse movements and clicks to train the model that estimates looks. Pass true as a parameter to make the red dot visible.
By default the model is only trained during the calibration phase, but you can train it further with this command.
Use stopTraining to stop training the model.
Example:
[js highlight=”6″ try=”data”]newTrial( newButton(“Start”).print().wait(newEyeTracker().test.ready()) )
newTrial(
newEyeTracker(“tracker”)
.calibrate(70)
.train(true)
,
newButton(“Click here first”).print(“20vw”,”40vh”).wait().remove(),
newButton(“Now Click here”).print(“60vw”,”40vh”).wait().remove()
,
newText(“Left”).css(“padding”,”20vw”).print(“20vw”, “40vh”),
newText(“Right”).css(“padding”,”20vw”).print(“60vw”, “40vh”)
,
getEyeTracker(“tracker”)
.stopTraining()
.add( getText(“Left”) , getText(“Right”) )
,
newSelector().add( getText(“Left”) , getText(“Right”) ).wait()
)[/js]
Will keep training the model after calibration with visual feedback (the red dot) so that the participant’s successive clicks on the buttons will be used to refine the model, and will stop using mouse events to train the model once Left and Right show up on the page.