The settings menu can be accessed by clicking the icon at the top of the window. It allows the user to set various aspects of the experiment, such as the size of the window to be used or what information is gathered about the subject and determine what outputs (data files) will be generated.
A name that will be stored in the metadata of the data file.
Which version of PsychoPy® was the task created in? if you are using a more recently installed version of PsychoPy® this can compile using an archived, older version to run previously created tasks.
If this box is checked then a dialog will appear at the beginning of the experiment allowing the Experiment Info to be changed.
If ticked then the Esc key can be used to exit the experiment at any time (even without a keyboard component)
This information will be presented in a dialog box at the start and will be saved with any data files and so can be used for storing information about the current run of the study. The information stored here can also be used within the experiment. For example, if the Experiment Info included a field called ori then Builder Components could access expInfo[‘ori’] to retrieve the orientation set here. Obviously this is a useful way to run essentially the same experiment, but with different conditions set at run-time. If you are running a study online, we recommend keeping the field “participant” because this is used to name data output files.
The name of the monitor calibration. Must match one of the monitor names from Monitor Center.
If multiple screens are available (and if the graphics card is not an intel integrated graphics chip) then the user can choose which screen they use (e.g. 1 or 2).
If this box is checked then the experiment window will fill the screen (overriding the window size setting and using the size that the screen is currently set to in the operating system settings).
The size of the window in pixels, if this is not to be a full-screen window.
The default units of the window (see Units for the window and stimuli). These can be overridden by individual Components.
Choice of audio library to use to present sound, default uses preferences (see Preferences).
Latency mode for PsychToolbox audio (see Preferences) (because this applies to the PTB sound backend, this only applies for local, not online studies)
Force audio to stereo (2-channel) output
The URL to direct participants to upon completion (when they select “OK” in the green thank-you message online)
The URL to direct participants to if they exit the task early (e.g. by pressing the escape key).
Resources that your task will require (e.g. image files, excel sheets). Note that PsychoPy® will attempt to populate this automatically, though if you encounter an “Unknown resource” error online, it is possible that you need to add resources to this list.
Specify what kind of eye tracker you are using. If you are creating your paradigm out-of-lab (i.e. with no eye tracker) we suggest using MouseGaze, which will use your mouse to simulate eye movements and blinks. Alternatively, you can select which device you are currently using and set-up those parameters (see ioHub Common Eye Tracker Interface)
A formatted string to control the base filename and path, often based on variables such as the date and/or the participant. This base filename will be given the various extensions for the different file types as needed. Examples:
# all in data folder relative to experiment file: data/JWP_memoryTask_2014_Feb_15_1648 'data/%s_%s_%s' %(expInfo['participant'], expName, expInfo['date']) # group by participant folder: data/JWP/memoryTask-2014_Feb_15_1648 'data/%s/%s-%s' %(expInfo['participant'], expName, expInfo['date']) # put into dropbox: ~/dropbox/data/memoryTask/JWP-2014_Feb_15_1648 # os.path.expanduser replaces '~' with the path to your home directory, # os.path.join joins the path components together correctly, regardless of OS # os.path.relpath creates a relative path between the specified path and the current directory '$os.path.relpath(os.path.join(os.path.expanduser('~'), 'dropbox', 'data', expName, expInfo['participant'] + '-' + expInfo['date']))
What delimiter should your data file use to separate the columns
If this box is checked an Excel data file (.xlsx) will be stored.
If this box is checked a summary file will be created with one row corresponding to the entire loop. If a keyboard response is used the mean and dtandard deviations of responses across trials will also be stored.
If this box is checked a comma separated variable (.csv) will be stored. Each trial will be stored as a new row.
If this box is checked a data file (.psydat) will be stored. This is a Python specific format (.pickle files) which contains more information that .xlsx or .csv files that can be used with data analysis and plotting scripts written in Python. Whilst you may not wish to use this format it is recommended that you always save a copy as it contains a complete record of the experiment at the time of data collection.
If this box is checked data will be stored to a hdf5 file, this is mainly applicable if a component is implemented that requires a complex data structure e.g. eyetracking.
A log file provides a record of what occurred during the experiment in chronological order, including information about any errors or warnings that may have occurred.
How much detail do you want to be output to the log file, if it is being saved. The lowest level is error, which only outputs error messages; warning outputs warnings and errors; info outputs all info, warnings and errors; debug outputs all info that can be logged. This system enables the user to get a great deal of information while generating their experiments, but then reducing this easily to just the critical information needed when actually running the study. If your experiment is not behaving as you expect it to, this is an excellent place to begin to work out what the problem is.