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

Autor(en): Wilming, Niklas 
Onat, Selim 
Ossandon, Jose P.
Acik, Alper 
Kietzmann, Tim C.
Kaspar, Kai 
Gameiro, Ricardo R.
Vormberg, Alexandra 
Koenig, Peter 
Stichwörter: Multidisciplinary Sciences; Science & Technology - Other Topics
Erscheinungsdatum: 2017
Volumen: 4
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 eognitive Science at Osnabruck 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 (similar to 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.
DOI: 10.1038/sdata.2016.126

Show full item record

Page view(s)

Last Week
Last month
checked on May 24, 2024

Google ScholarTM