Generalizing parametric models by introducing trial-by-trial parameter variability: The case of TVA |
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| Authors: | Mads Dyrholm Søren Kyllingsbæk Thomas Espeseth Claus Bundesen |
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| Affiliation: | 1. Department for Life Sciences, Institute for Multidisciplinary Research, University of Belgrade, KnezaVi?eslava 1, 11000 Belgrade, Serbia;2. Center for Rehabilitation Engineering, University of Glasgow, James Watt (South) Building, (Rm605), G128QQ Glasgow, UK;3. Laboratory for Radiobiology and Molecular Genetics — Laboratory 080, Vin?a Institute of Nuclear Sciences, University of Belgrade, 11001 Belgrade, p.fah 522, Serbia;1. LIFE Leipzig Research Center for Civilization Diseases (T Poulain, M Vogel, J Ludwig, N Grafe, A Körner, and W Kiess), Leipzig University, Leipzig, Germany;2. Department of Women and Child Health (T Poulain, M Vogel, A Körner, and W Kiess), Hospital for Children and Adolescents and Center for Paediatric Research, Leipzig University, Leipzig, Germany |
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| Abstract: | We identify two biases in the traditional use of Bundesen’s Theory of Visual Attention (TVA) and show that they can be substantially reduced by introducing trial-by-trial variability in the model. We analyze whole and partial report data from a comprehensive empirical study with 347 participants and elaborate on Bayesian model selection theory for quantifying the advantage of trial-by-trial generalization in general. The analysis provides strong evidence of trial-by-trial variation in both the VSTM capacity parameter and perceptual threshold parameter of TVA. On average, the VSTM capacity bias was found to be at least half an item, while the perceptual threshold parameter was found to be underestimated by about 2 ms. |
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