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GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour

View ORCID ProfileFelix Molter, View ORCID ProfileArmin W. Thomas, View ORCID ProfileHauke R. Heekeren, View ORCID ProfilePeter N. C. Mohr
doi: https://doi.org/10.1101/741678
Felix Molter
WZB Berlin Social Science Center
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  • For correspondence: felixmolter@gmail.com athms.research@gmail.com
Armin W. Thomas
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  • For correspondence: felixmolter@gmail.com athms.research@gmail.com
Hauke R. Heekeren
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Peter N. C. Mohr
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Abstract

Recent empirical findings have indicated that gaze allocation plays a crucial role in simple decision behaviour. Many of these findings point towards an influence of gaze allocation onto the speed of evidence accumulation in an accumulation-to-bound decision process (resulting in generally higher choice probabilities for items that have been looked at longer). Further, researchers have shown that the strength of the association between gaze and choice behaviour is highly variable between individuals, encouraging future work to study this association on the individual level. However, only few decision models exist that easily allow studying the gaze-choice association on the individual level, due to the high cost of developing and implementing them. The model space is particularly scarce for choice sets with more than two choice alternatives. Here, we present GLAMbox, a Python-based toolbox that is built upon PyMC3 and allows the easy application of the gaze-weighted linear accumulator model (GLAM) to experimental choice data. The GLAM assumes gaze-dependent evidence accumulation in a linear stochastic race that extends to decision scenarios with many choice alternatives. GLAMbox enables Bayesian parameter estimation of the GLAM for individual, pooled or hierarchical models, provides an easy-to-use interface to predict choice behaviour and visualize choice data, and benefits from all of PyMC3’s Bayesian statistical modeling functionality. Further documentation, resources and the toolbox itself are available at https://github.com/glamlab/glambox.

Footnotes

  • Felix Molter and Peter N. C. Mohr, Freie Universität Berlin, School of Business & Economics, Garystr. 21, 14195 Berlin, Germany; WZB Berlin Social Science Center, Reichpietschufer 50, 10785 Berlin, Germany. Armin W. Thomas, Technische Universität Berlin, Marchstr. 23, 10587 Berlin, Germany; Max Planck School of Cognition, Stephanstr. 1A, 04103 Leipzig, Germany. Hauke R. Heekeren, Freie Universität Berlin, Department of Education and Psychology, Habelschwerdter Allee 45, 14195 Berlin, Germany

  • https://github.com/glamlab/glambox

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 20, 2019.
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GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour
Felix Molter, Armin W. Thomas, Hauke R. Heekeren, Peter N. C. Mohr
bioRxiv 741678; doi: https://doi.org/10.1101/741678
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GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour
Felix Molter, Armin W. Thomas, Hauke R. Heekeren, Peter N. C. Mohr
bioRxiv 741678; doi: https://doi.org/10.1101/741678

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