Cargando…

No evidence for spatial suppression due to across-trial distractor learning in visual search

Previous studies have shown that during visual search, participants are able to implicitly learn across-trial regularities regarding target locations and use these to improve search performance. The present study asks whether such across-trial visual statistical learning also extends to the location...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ai-Su, Bogaerts, Louisa, Theeuwes, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167158/
https://www.ncbi.nlm.nih.gov/pubmed/36823261
http://dx.doi.org/10.3758/s13414-023-02667-8
_version_ 1785038600684961792
author Li, Ai-Su
Bogaerts, Louisa
Theeuwes, Jan
author_facet Li, Ai-Su
Bogaerts, Louisa
Theeuwes, Jan
author_sort Li, Ai-Su
collection PubMed
description Previous studies have shown that during visual search, participants are able to implicitly learn across-trial regularities regarding target locations and use these to improve search performance. The present study asks whether such across-trial visual statistical learning also extends to the location of salient distractors. In Experiments 1 and 2, distractor regularities were paired so that a specific distractor location was 100% predictive of another specific distractor location on the next trial. Unlike previous findings that employed target regularities, the current results show no difference in search times between predictable and unpredictable trials. In Experiments 3–5 the distractor location was presented in a structured order (a sequence) for one group of participants, while it was presented randomly for the other group. Again, there was no learning effect of the across-trial regularities regarding the salient distractor locations. Across five experiments, we demonstrated that participants were unable to exploit across-trial spatial regularities regarding the salient distractors. These findings point to important boundary conditions for the modulation of visual attention by statistical regularities and they highlight the need to differentiate between different types of statistical regularities.
format Online
Article
Text
id pubmed-10167158
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-101671582023-05-10 No evidence for spatial suppression due to across-trial distractor learning in visual search Li, Ai-Su Bogaerts, Louisa Theeuwes, Jan Atten Percept Psychophys Article Previous studies have shown that during visual search, participants are able to implicitly learn across-trial regularities regarding target locations and use these to improve search performance. The present study asks whether such across-trial visual statistical learning also extends to the location of salient distractors. In Experiments 1 and 2, distractor regularities were paired so that a specific distractor location was 100% predictive of another specific distractor location on the next trial. Unlike previous findings that employed target regularities, the current results show no difference in search times between predictable and unpredictable trials. In Experiments 3–5 the distractor location was presented in a structured order (a sequence) for one group of participants, while it was presented randomly for the other group. Again, there was no learning effect of the across-trial regularities regarding the salient distractor locations. Across five experiments, we demonstrated that participants were unable to exploit across-trial spatial regularities regarding the salient distractors. These findings point to important boundary conditions for the modulation of visual attention by statistical regularities and they highlight the need to differentiate between different types of statistical regularities. Springer US 2023-02-23 2023 /pmc/articles/PMC10167158/ /pubmed/36823261 http://dx.doi.org/10.3758/s13414-023-02667-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Ai-Su
Bogaerts, Louisa
Theeuwes, Jan
No evidence for spatial suppression due to across-trial distractor learning in visual search
title No evidence for spatial suppression due to across-trial distractor learning in visual search
title_full No evidence for spatial suppression due to across-trial distractor learning in visual search
title_fullStr No evidence for spatial suppression due to across-trial distractor learning in visual search
title_full_unstemmed No evidence for spatial suppression due to across-trial distractor learning in visual search
title_short No evidence for spatial suppression due to across-trial distractor learning in visual search
title_sort no evidence for spatial suppression due to across-trial distractor learning in visual search
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167158/
https://www.ncbi.nlm.nih.gov/pubmed/36823261
http://dx.doi.org/10.3758/s13414-023-02667-8
work_keys_str_mv AT liaisu noevidenceforspatialsuppressionduetoacrosstrialdistractorlearninginvisualsearch
AT bogaertslouisa noevidenceforspatialsuppressionduetoacrosstrialdistractorlearninginvisualsearch
AT theeuwesjan noevidenceforspatialsuppressionduetoacrosstrialdistractorlearninginvisualsearch