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Spotlight on...
I study how people learn to avoid fear and pain.
I have run multiple experiments in Gorilla. The common thread is that I study how individuals learn to avoid fear and pain related stimuli.
My recent experiment consisted of a computer task and the filling out of many questionnaires. During the task participants have to learn to associate a neutral picture (i.e., picture of a red lamp) with the presentation of a loud scream, and another neutral picture (i.e., picture of a green lamp) with the absence of the loud scream. Afterwards, participants were informed that they could avoid the presentation of the scream by means of a button-press. During the questionnaire part of the experiment, we tested several individual differences using well-validated questionnaires. This includes trait anxiety and intolerance of uncertainty measures.
We had to include some attention checks at the end of the task to ensure that participants learned the main contingencies of the experiment.
It is particularly easy to build a basic task, meaning that no prior programming experience is needed. If you want to do something complicated you can use Javascript but there are plenty of support materials for it.
I like the recent work we do in the exploration-exploitation dilemma in pain. We have recently published a paper on it: Krypotos, A.-M., Crombez, G., Alves, M., Claes, N. & Vlaeyen, J. (2022). The exploration-exploitation dilemma in pain: an experimental investigation. PAIN, 163, e215-e233.
My overarching goal is to learn to predict which individuals will develop anxiety symptomatology or chronic pain.
Online research allows us to reach many individuals in a short time. Of course, there could be more room for noise, but given that you include many participants and include some attention checks, this noise will be reduced.
When I had to move all my research online, due to COVID, Gorilla was a life saver as I did not have to spend so much time learning it.
Statistical Rethinking by Richard McElreath. I read it more than 5 years ago but still this book is something else.
That you can get enormous amounts of data, fast.
I enjoy working to begin with. Apart from that, I enjoy trying new things, with most of them failing but still not a day should be boring!
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