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Classic Visual Search Effects in an Additional Singleton Task: An Open Dataset Cover

Classic Visual Search Effects in an Additional Singleton Task: An Open Dataset

Open Access
|Jul 2021

Abstract

Visual search refers to our ability to find what we are looking for among many competing visual inputs. Here, we report the availability of a rich dataset that replicates key visual search effects and shows that these effects are robust to several changes to the experimental design. Experiment 1 replicates classic findings from an additional singleton visual search task. First, participants are captured by a salient but irrelevant color singleton, as indexed by slower response times when a color singleton distractor is present versus absent. Second, attentional capture by a color singleton is reduced when the visual search array contains heterogeneous shapes rather than homogenous shapes. Finally, attentional capture by a color singleton is reduced when the display colors are repeated rather than switched unpredictably from trial to trial. Experiment 2 demonstrates that these classic visual search effects are robust to small procedural changes such as task timing (i.e., a 2–8 second rather than ~1 second intertrial interval). Experiment 3 demonstrates that these classic effects are likewise robust to changes to the distractor frequency (75% rather than 50%) and to fully blocking versus interleaving blocks of two task conditions. All told, this dataset includes 8 sub-experiments, 190 participants and >210,000 trials, and it will serve as a useful resource for power analyses and exploratory analyses of visual search behaviors.

DOI: https://doi.org/10.5334/joc.182 | Journal eISSN: 2514-4820
Language: English
Submitted on: May 10, 2021
Accepted on: Jul 18, 2021
Published on: Jul 28, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Kirsten C. S. Adam, Titiksha Patel, Nicole Rangan, John T. Serences, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.