A formal version of the Guided Search (GS2) model

Type of Publication: Journal article
URI (citable link): http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-58984
Author: Hübner, Ronald
Year of publication: 2001
Published in: Perception & Psychophysics ; 63 (2001), 6. - pp. 945-951. - ISSN 0031-5117. - eISSN 1532-5962
DOI (citable link): https://dx.doi.org/10.3758/BF03194514
Summary:
Guided Search 2 (GS2) is currently one of the most detailed models of visual search and has been used to predict search times for different stimulus conditions by means of detailed computer simulations. The present article goes a step further and presents formulas that allow for the calculation of the search times and their variances. Moreover, these formulas can be applied to fit GS2 to data. An example is provided in which GS2 is fitted to search functions representing search asymmetries.
Subject (DDC): 150 Psychology
Link to License: Attribution-NonCommercial-NoDerivs 2.0 Generic

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HÜBNER, Ronald, 2001. A formal version of the Guided Search (GS2) model. In: Perception & Psychophysics. 63(6), pp. 945-951. ISSN 0031-5117. eISSN 1532-5962. Available under: doi: 10.3758/BF03194514

@article{Hubner2001forma-10987, title={A formal version of the Guided Search (GS2) model}, year={2001}, doi={10.3758/BF03194514}, number={6}, volume={63}, issn={0031-5117}, journal={Perception & Psychophysics}, pages={945--951}, author={Hübner, Ronald} }

First publ. in: Perception & Psychophysics 63 (2001), 6, pp. 945-951 2011-03-25T09:24:30Z application/pdf 2001 Hübner, Ronald Attribution-NonCommercial-NoDerivs 2.0 Generic Hübner, Ronald eng 2011-03-25T09:24:30Z A formal version of the Guided Search (GS2) model Guided Search 2 (GS2) is currently one of the most detailed models of visual search and has been used to predict search times for different stimulus conditions by means of detailed computer simulations. The present article goes a step further and presents formulas that allow for the calculation of the search times and their variances. Moreover, these formulas can be applied to fit GS2 to data. An example is provided in which GS2 is fitted to search functions representing search asymmetries.

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