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dc.contributor.authorLindner, Stefan-
dc.contributor.authorRußwinkel, Nele-
dc.contributor.authorAhrlt, Lennart-
dc.contributor.authorNeufeld, Max-
dc.contributor.authorSchattenhofer, Lukas-
dc.description.abstractA modeling approach addressing visual search in an array of items of differing similarity is introduced. The model is able to capture the effects found in a study that varies target-distractor similarity (low vs. high), distractor-distractor similarity (low vs. high) of icons, target presence (present vs. absent) and the set size (8, 16 or 24 icons). To be able to simulate human visual search in such a task with original ACT-R mechanisms we implemented a hybrid search strategy that combines parallel and serial search. The presented model can provide useful insight for researchers interested in modeling tasks containing visual icon search.en
dc.subject.othercognitive modelingen
dc.subject.othervisual searchen
dc.titleACT-R model: "Modeling of Visual Search and Influence of Item Similarity"en
dc.typeGeneric Research Data-
Appears in Collections:FG Kognitive Modellierung in dynamischen Mensch-Maschine Systemen » Research Data

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ICCM_2017_model_visual_search.lspVisual Search Final Model16.04 kBUnknownView/Open

Version History
Version Item Date Summary
2 10.14279/depositonce-5951.2 2017-07-24 12:18:02.203 Originally uploaded an erronous version of the model. The new file is the working and commented model.
1 10.14279/depositonce-5951 2017-06-23 11:29:24.0

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