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An extensive dataset of eye movements during viewing of complex images
We present a dataset of free-viewing eye-movement recordings that contains more than 2.7 million fixation locations from 949 observers on more than 1000 images from different categories. This dataset aggregates and harmonizes data from 23 different studies conducted at the Institute of Cognitive Sci...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283059/ https://www.ncbi.nlm.nih.gov/pubmed/28140391 http://dx.doi.org/10.1038/sdata.2016.126 |
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author | Wilming, Niklas Onat, Selim Ossandón, José P. Açık, Alper Kietzmann, Tim C. Kaspar, Kai Gameiro, Ricardo R. Vormberg, Alexandra König, Peter |
author_facet | Wilming, Niklas Onat, Selim Ossandón, José P. Açık, Alper Kietzmann, Tim C. Kaspar, Kai Gameiro, Ricardo R. Vormberg, Alexandra König, Peter |
author_sort | Wilming, Niklas |
collection | PubMed |
description | We present a dataset of free-viewing eye-movement recordings that contains more than 2.7 million fixation locations from 949 observers on more than 1000 images from different categories. This dataset aggregates and harmonizes data from 23 different studies conducted at the Institute of Cognitive Science at Osnabrück University and the University Medical Center in Hamburg-Eppendorf. Trained personnel recorded all studies under standard conditions with homogeneous equipment and parameter settings. All studies allowed for free eye-movements, and differed in the age range of participants (~7–80 years), stimulus sizes, stimulus modifications (phase scrambled, spatial filtering, mirrored), and stimuli categories (natural and urban scenes, web sites, fractal, pink-noise, and ambiguous artistic figures). The size and variability of viewing behavior within this dataset presents a strong opportunity for evaluating and comparing computational models of overt attention, and furthermore, for thoroughly quantifying strategies of viewing behavior. This also makes the dataset a good starting point for investigating whether viewing strategies change in patient groups. |
format | Online Article Text |
id | pubmed-5283059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52830592017-02-02 An extensive dataset of eye movements during viewing of complex images Wilming, Niklas Onat, Selim Ossandón, José P. Açık, Alper Kietzmann, Tim C. Kaspar, Kai Gameiro, Ricardo R. Vormberg, Alexandra König, Peter Sci Data Data Descriptor We present a dataset of free-viewing eye-movement recordings that contains more than 2.7 million fixation locations from 949 observers on more than 1000 images from different categories. This dataset aggregates and harmonizes data from 23 different studies conducted at the Institute of Cognitive Science at Osnabrück University and the University Medical Center in Hamburg-Eppendorf. Trained personnel recorded all studies under standard conditions with homogeneous equipment and parameter settings. All studies allowed for free eye-movements, and differed in the age range of participants (~7–80 years), stimulus sizes, stimulus modifications (phase scrambled, spatial filtering, mirrored), and stimuli categories (natural and urban scenes, web sites, fractal, pink-noise, and ambiguous artistic figures). The size and variability of viewing behavior within this dataset presents a strong opportunity for evaluating and comparing computational models of overt attention, and furthermore, for thoroughly quantifying strategies of viewing behavior. This also makes the dataset a good starting point for investigating whether viewing strategies change in patient groups. Nature Publishing Group 2017-01-31 /pmc/articles/PMC5283059/ /pubmed/28140391 http://dx.doi.org/10.1038/sdata.2016.126 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Wilming, Niklas Onat, Selim Ossandón, José P. Açık, Alper Kietzmann, Tim C. Kaspar, Kai Gameiro, Ricardo R. Vormberg, Alexandra König, Peter An extensive dataset of eye movements during viewing of complex images |
title | An extensive dataset of eye movements during viewing of complex images |
title_full | An extensive dataset of eye movements during viewing of complex images |
title_fullStr | An extensive dataset of eye movements during viewing of complex images |
title_full_unstemmed | An extensive dataset of eye movements during viewing of complex images |
title_short | An extensive dataset of eye movements during viewing of complex images |
title_sort | extensive dataset of eye movements during viewing of complex images |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283059/ https://www.ncbi.nlm.nih.gov/pubmed/28140391 http://dx.doi.org/10.1038/sdata.2016.126 |
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