High-density scalp EEG data acquired in an inattentional blindness paradigm with background Gestalt stimuli
(2020) In Data in Brief 28. p.104901-104901- Abstract
Behavioral and electroencephalography (EEG) data were analyzed from 30 participants performing a demanding, attention-capturing task in which they had to detect an occasional decrement of luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. The participants' awareness of these background configurations was tested with a questionnaire after the first and second sessions. Based on the questionnaire responses, participants were divided into "aware" and "unaware" groups. These data may be of interest to researchers who wish to understand attentional effects on Gestalt integration processes, as well as luminance... (More)
Behavioral and electroencephalography (EEG) data were analyzed from 30 participants performing a demanding, attention-capturing task in which they had to detect an occasional decrement of luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. The participants' awareness of these background configurations was tested with a questionnaire after the first and second sessions. Based on the questionnaire responses, participants were divided into "aware" and "unaware" groups. These data may be of interest to researchers who wish to understand attentional effects on Gestalt integration processes, as well as luminance discrimination.
(Less)
- author
- Nobre, Alexandre de P ; Nikolaev, Andrey R LU and Wagemans, Johan
- organization
- publishing date
- 2020-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Attention, Electroencephalography, Gestalt, Texture segregation, Contour integration, Visual perception, Awareness
- in
- Data in Brief
- volume
- 28
- pages
- 104901 - 104901
- publisher
- Elsevier
- external identifiers
-
- scopus:85076131305
- pmid:31886349
- ISSN
- 2352-3409
- DOI
- 10.1016/j.dib.2019.104901
- language
- English
- LU publication?
- yes
- additional info
- © 2019 The Author(s).
- id
- c151aed2-7b4c-407e-bd1c-d71b73cbbdb9
- date added to LUP
- 2020-01-09 09:56:28
- date last changed
- 2024-09-18 16:25:36
@article{c151aed2-7b4c-407e-bd1c-d71b73cbbdb9, abstract = {{<p>Behavioral and electroencephalography (EEG) data were analyzed from 30 participants performing a demanding, attention-capturing task in which they had to detect an occasional decrement of luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. The participants' awareness of these background configurations was tested with a questionnaire after the first and second sessions. Based on the questionnaire responses, participants were divided into "aware" and "unaware" groups. These data may be of interest to researchers who wish to understand attentional effects on Gestalt integration processes, as well as luminance discrimination.</p>}}, author = {{Nobre, Alexandre de P and Nikolaev, Andrey R and Wagemans, Johan}}, issn = {{2352-3409}}, keywords = {{Attention; Electroencephalography; Gestalt; Texture segregation; Contour integration; Visual perception; Awareness}}, language = {{eng}}, pages = {{104901--104901}}, publisher = {{Elsevier}}, series = {{Data in Brief}}, title = {{High-density scalp EEG data acquired in an inattentional blindness paradigm with background Gestalt stimuli}}, url = {{http://dx.doi.org/10.1016/j.dib.2019.104901}}, doi = {{10.1016/j.dib.2019.104901}}, volume = {{28}}, year = {{2020}}, }