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Main Title: Comparing Models of Visual Search in Heterogeneous Search Fields
Author(s): Lindner, Stefan
Arlt, Lennart
Russwinkel, Nele
Other Contributor(s): Dörr, Lisa-Madeleine
Type: Generic Research Data
Language Code: en
Abstract: Contains the "Cluster Model" and the "Extended Cluster Model" for the Paper "Comparing Models of Visual Search in Heterogeneous Search Fields". Paper Abstract: The paper investigates visual search in heterogeneous search fields with the aim of capturing search times with cognitive models. An icon search experiment was conducted in which target-distractor similarity (low vs. high) and distractordistractor similarity (low vs. high) of icons, target presence (present vs. absent) and the set size (6x4, 8x4 or 8x6 icons) were varied. At the same time a total of6 ACT-R models - each implementing a different search strategy hypothesis - were created (4 cluster search models, 1 row model and 1 basic model) and their fit with the experimental reaction times assessed. All cluster models were able to fit the general pattern of reaction times fairly well, but varied in fit among different conditions. A cluster model assuming search along 2-by-2-icon clusters achieved the best overall fit.
Issue Date: 20-Jul-2018
Date Available: 23-Jul-2018
DDC Class: 158
Subject(s): ACT-R
cognitive modeling
visual search
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Appears in Collections:FG Kognitive Modellierung in dynamischen Mensch-Maschine Systemen » Research Data

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cluster_commented.lspCluster Model19.79 kBUnknownView/Open
extended_cluster_commented.lspExtended Cluster Model19.9 kBUnknownView/Open

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