Kurzfassung

In their explanation of perceptual biases concerning the localization of dynamic stimuli, classical localization theories fall short as far as
explaining the accumulated data set over the last century. Yet, a new
class of models, the Bayesian observer accounts with prior
expectations about stimulus speed, originally formulated to explain
perceptual biases about perceived speed, can be adopted to derive
specific predictions about the perceived location of dynamic stimuli. In fact, these new models...In their explanation of perceptual biases concerning the localization of dynamic stimuli, classical localization theories fall short as far as
explaining the accumulated data set over the last century. Yet, a new
class of models, the Bayesian observer accounts with prior
expectations about stimulus speed, originally formulated to explain
perceptual biases about perceived speed, can be adopted to derive
specific predictions about the perceived location of dynamic stimuli. In fact, these new models can already account for a vast amount of
existing data, which poses a problem for classical localization
theories. In the present project, the classical localization theories and
the Bayesian observer accounts are contrasted in several
experiments investigating different perceptual localization biases
(e.g., the ‘Fröhlich effect’, the ‘onset repulsion effect’ or the
‘Representational Momentum effect’). In addition, the predictions of
the two accounts in terms of the perceived speed of dynamic stimuli
(i.e., the ‘Thompson effect’) will also be tested in order to work toward a holistic understanding of the perception of dynamic stimuli» weiterlesen» einklappen