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Conceptual and Visual Features Contribute to Visual Memory for Natural Images
We examined the role of conceptual and visual similarity in a memory task for natural images. The important novelty of our approach was that visual similarity was determined using an algorithm [1] instead of being judged subjectively. This similarity index takes colours and spatial frequencies into...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374796/ https://www.ncbi.nlm.nih.gov/pubmed/22719842 http://dx.doi.org/10.1371/journal.pone.0037575 |
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author | Huebner, Gesche M. Gegenfurtner, Karl R. |
author_facet | Huebner, Gesche M. Gegenfurtner, Karl R. |
author_sort | Huebner, Gesche M. |
collection | PubMed |
description | We examined the role of conceptual and visual similarity in a memory task for natural images. The important novelty of our approach was that visual similarity was determined using an algorithm [1] instead of being judged subjectively. This similarity index takes colours and spatial frequencies into account. For each target, four distractors were selected that were (1) conceptually and visually similar, (2) only conceptually similar, (3) only visually similar, or (4) neither conceptually nor visually similar to the target image. Participants viewed 219 images with the instruction to memorize them. Memory for a subset of these images was tested subsequently. In Experiment 1, participants performed a two-alternative forced choice recognition task and in Experiment 2, a yes/no-recognition task. In Experiment 3, testing occurred after a delay of one week. We analyzed the distribution of errors depending on distractor type. Performance was lowest when the distractor image was conceptually and visually similar to the target image, indicating that both factors matter in such a memory task. After delayed testing, these differences disappeared. Overall performance was high, indicating a large-capacity, detailed visual long-term memory. |
format | Online Article Text |
id | pubmed-3374796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33747962012-06-20 Conceptual and Visual Features Contribute to Visual Memory for Natural Images Huebner, Gesche M. Gegenfurtner, Karl R. PLoS One Research Article We examined the role of conceptual and visual similarity in a memory task for natural images. The important novelty of our approach was that visual similarity was determined using an algorithm [1] instead of being judged subjectively. This similarity index takes colours and spatial frequencies into account. For each target, four distractors were selected that were (1) conceptually and visually similar, (2) only conceptually similar, (3) only visually similar, or (4) neither conceptually nor visually similar to the target image. Participants viewed 219 images with the instruction to memorize them. Memory for a subset of these images was tested subsequently. In Experiment 1, participants performed a two-alternative forced choice recognition task and in Experiment 2, a yes/no-recognition task. In Experiment 3, testing occurred after a delay of one week. We analyzed the distribution of errors depending on distractor type. Performance was lowest when the distractor image was conceptually and visually similar to the target image, indicating that both factors matter in such a memory task. After delayed testing, these differences disappeared. Overall performance was high, indicating a large-capacity, detailed visual long-term memory. Public Library of Science 2012-06-13 /pmc/articles/PMC3374796/ /pubmed/22719842 http://dx.doi.org/10.1371/journal.pone.0037575 Text en Huebner, Gegenfurtner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Huebner, Gesche M. Gegenfurtner, Karl R. Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title | Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title_full | Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title_fullStr | Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title_full_unstemmed | Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title_short | Conceptual and Visual Features Contribute to Visual Memory for Natural Images |
title_sort | conceptual and visual features contribute to visual memory for natural images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374796/ https://www.ncbi.nlm.nih.gov/pubmed/22719842 http://dx.doi.org/10.1371/journal.pone.0037575 |
work_keys_str_mv | AT huebnergeschem conceptualandvisualfeaturescontributetovisualmemoryfornaturalimages AT gegenfurtnerkarlr conceptualandvisualfeaturescontributetovisualmemoryfornaturalimages |