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There are several options. If you want complete counterbalancing (as opposed to randomization), the simplest option is to design the content of the loop accordingly (that is, you make sure that you enter trials details in the loop that correspond to a counterbalanced design). The definition of the correct response is then simple, you simply include a correct_response column and indicate for each trial which is the correct response (f or j).
if you want to randomly position two images is to create two image holders on your slide, set the names of the files to be displayed in distinct columns in your loop, and to use the shuffle_horiz function to randomly shuffle these columns (see https://forum.cogsci.nl/discussion/5892/show-multiple-images-at-the-same-time-at-random-positions; see documentation; .https://osdoc.cogsci.nl/3.3/manual/structure/loop/). The definition of the correct response would be a little more complex and require some coding (though if you do not need to calculate scores in the task, you can also envisage scoring the response offline, in the data output, for example using formulas in Excel). Alternatively to using shuffle_horiz, you could also determine the location of the image and define the correct response entirely through code.
Hope this helps,
Thanks a million for your help, it is indeed useful. I checked the links and the the shuffle_horiz function seems great to randomise the position of the images. However, regarding definition of the correct response, do you know if there is a webpage or experiment example where I can see a code similar to the one that I need to implement in my experiment?
Thank you very much again. It means a lot.
I'm glad that the
shuffle_horizhelped. For randomizing the position of the pictures, it is the simplest method.
Regarding the scoring of the responses, as you may have guessed, the difficulty is that you can't simply define one of the keys as the correct response since you don't know where each picture will appear in each trial. Hence, the goal is to write some code that will look into the response provided by the participant, identify the picture that was presented on the side corresponding to the key pressed, compare that to the correct response, and set the score accordingly.
For this example, I set up a very basic task in which a word appears at the center of screen, flanked by pictures (of forest or city) on the left and on the right, and participants must press the F or J keys to indicate where the object corresponding to the word is more likely to be found (e.g., "bird" is more likely to be found in the forest and in the city).
Here's the general structure of the task:
You can see that I'm using
shuffle_horizin the script of the loop to randomly shuffle the content of the image1 and image2 columns. Note that I define the
correct_responseas the image that should be selected by the participant and not as the key they press (more on this later).
The stimuli slide contains the word and the image holders:
shuffle_horizcommand shuffles the content of the columns and not the columns themselves, image1 will always correspond to the image shown on the left on the slide above (and image2 will always appear on the right).
Hence, what we need to do right after a response has been detected, is to identify which key was pressed, and then check whether the image shown on the side corresponding to that response is the mage defined as the correct response. So, if the response if "f" or "F", we know that the participant selected the left picture, otherwise he/she selected the picture on the right. if they pressed F, we'd check whether the picture shown as
image1is the same or not as that we defined as
correct_response. If it is, then the response would be correct and we'd manually set the score to 1, otherwise to zero. Similar logic if the key pressed is not "f" or "F" (in which case, it is "j" or "J"), but now comparing
correct_response. Here's the code doing this in Python (highlighted in the yellow section):
I introduced the code highlighted in the green section just to keep track of what's going on (it outputs data in the console so that you can check that the score is calculated correctly on each trial).
Python is not difficult to learn for simple things like these (I don't personally know Python well at all, but searching the web as little, you quickly learn how to di basic things like if...then loops.
Then you just need to know how to access variables from OS in Python, which is simply done by prefixing "var." to the name of the variable. You can find information about key response variable here: https://osdoc.cogsci.nl/3.3/manual/variables/ (alternatively, if you look at the data log, the first row will contain a lot of variable names showing what is what).
You can download my example here:
Does this help?.
Thank you very much for such a detailed response, I truly appreciate your help!! Over the past days I have been going through the resources you recommended (tutorials, documentation) and working on the coding for the experiment and it seems to work now.
I would like to share here a code that may be implemented in case it is useful for someone.
In the experiment, participants see two images simultaneously on the screen (i.e., target_image and distractor_image), whose position is randomised. To do so, I added two variables (or columns) to the block_loop table (i.e., target_location and distractor_location) and I specified the positions of each image (left for the target image, and right for the distractor image). This was afterwards randomised using the shuffle_horiz function as follows:
shuffle_horiz target_location distractor_location
Finally, given the fact that the position of the images was defined by values like left and right, their exact coordinates were typed in the sketchpad display_images script: https://osdoc.cogsci.nl/3.3/manual/stimuli/visual/
The option you suggested, Fab, works perfectly fine. This is just another idea I came up with and I wanted to share it in case it may be of help for someone.
Once more, thanks a million!
Glad you worked it out and that your task is working. Thanks for sharing your solution!