No Thumbnail Available
Comparing Models of Visual Search in Heterogeneous Search Fields
Lindner, Stefan; Arlt, Lennart; Russwinkel, Nele; Dörr, Lisa-Madeleine (Contributor)
Contains the "Cluster Model" and the "Extended Cluster Model" for the Paper "Comparing Models of Visual Search in Heterogeneous Search Fields" (Proceedings of ICCM 2018, 16th International Conference on Cognitive Modeling. ISBN 978-0-9985082-2-1). 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.
Is Supplemented By
