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Data Descriptor: An extensive dataset of eye movements during viewing of complex images

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Data Descriptor: 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 Ramos; Vormberg, Alexandra; König, Peter.

in: SCI DATA, Jahrgang 4, 31.01.2017, S. 160126.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Wilming, N, Onat, S, Ossandón, JP, Açık, A, Kietzmann, TC, Kaspar, K, Gameiro, RR, Vormberg, A & König, P 2017, 'Data Descriptor: An extensive dataset of eye movements during viewing of complex images', SCI DATA, Jg. 4, S. 160126. https://doi.org/10.1038/sdata.2016.126

APA

Wilming, N., Onat, S., Ossandón, J. P., Açık, A., Kietzmann, T. C., Kaspar, K., Gameiro, R. R., Vormberg, A., & König, P. (2017). Data Descriptor: An extensive dataset of eye movements during viewing of complex images. SCI DATA, 4, 160126. https://doi.org/10.1038/sdata.2016.126

Vancouver

Wilming N, Onat S, Ossandón JP, Açık A, Kietzmann TC, Kaspar K et al. Data Descriptor: An extensive dataset of eye movements during viewing of complex images. SCI DATA. 2017 Jan 31;4:160126. https://doi.org/10.1038/sdata.2016.126

Bibtex

@article{27089bf72bb840158f8b5dcaf812e099,
title = "Data Descriptor: An extensive dataset of eye movements during viewing of complex images",
abstract = "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 Osnabr{\"u}ck 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.",
keywords = "Journal Article",
author = "Niklas Wilming and Selim Onat and Ossand{\'o}n, {Jos{\'e} P} and Alper A{\c c}ık and Kietzmann, {Tim C} and Kai Kaspar and Gameiro, {Ricardo Ramos} and Alexandra Vormberg and Peter K{\"o}nig",
year = "2017",
month = jan,
day = "31",
doi = "10.1038/sdata.2016.126",
language = "English",
volume = "4",
pages = "160126",
journal = "SCI DATA",
issn = "2052-4463",
publisher = "NATURE PUBLISHING GROUP",

}

RIS

TY - JOUR

T1 - Data Descriptor: An extensive dataset of eye movements during viewing of complex images

AU - Wilming, Niklas

AU - Onat, Selim

AU - Ossandón, José P

AU - Açık, Alper

AU - Kietzmann, Tim C

AU - Kaspar, Kai

AU - Gameiro, Ricardo Ramos

AU - Vormberg, Alexandra

AU - König, Peter

PY - 2017/1/31

Y1 - 2017/1/31

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1038/sdata.2016.126

DO - 10.1038/sdata.2016.126

M3 - SCORING: Journal article

C2 - 28140391

VL - 4

SP - 160126

JO - SCI DATA

JF - SCI DATA

SN - 2052-4463

ER -