Using Adaptive Stimulus Selection for Parameter Recovery in the Rod-And-Frame Task
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2020-01-01
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en
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Alberts et al. (2016) have proposed a Bayesian integration model for verticality perception in the
Rod-And-Frame task. The Rod-And-Frame task is an experiment in which the subject is presented
a frame and a little while later a rod is presented. Both the rod and the frame are able to be
rotated clockwise or counterclockwise relative to gravity. The subject has to guess whether the rod
was rotated clockwise or counterclockwise, so the frame has to be ignored. This model can explain
behavioral responses but requires many stimulus-response pairs in a xed stimulus design.Here an
adaptive stimulus selection approach is introduced to estimate model parameters based on much
fewer data. Instead of estimating all the parameters of the existing model, the model will be
simpli ed to contain ve out of the original seven parameters. The results can be used as a proof
of principle for the existing model. To make testing less cumbersome, a generative agent is used
instead of physical subjects.
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Faculteit der Sociale Wetenschappen