Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-5951.2
Main Title: ACT-R model: "Modeling of Visual Search and Influence of Item Similarity"
Author(s): Lindner, Stefan
Rußwinkel, Nele
Ahrlt, Lennart
Neufeld, Max
Schattenhofer, Lukas
Type: Generic Research Data
Language Code: en
Abstract: A 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.
URI: http://depositonce.tu-berlin.de/handle/11303/6404.2
http://dx.doi.org/10.14279/depositonce-5951.2
Issue Date: 31-May-2017
Date Available: 23-Jun-2017
24-Jul-2017
Subject(s): ACT-R
cognitive modeling
model
visual search
similarity
Appears in Collections:Technische Universität Berlin » Fakultäten & Zentralinstitute » Fakultät 5 Verkehrs- und Maschinensysteme » Institut für Psychologie und Arbeitswissenschaft » Research Data

Files in This Item:
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ICCM_2017_model_visual_search.lspVisual Search Final Model16.04 kBUnknownView/Open

Version History
Version Item Date Summary
2 doi: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 doi:10.14279/depositonce-5951 2017-06-23 11:29:24.0

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