An EEG Dataset of Subject Pairs during Collaboration and Competition Tasks in Face-to-Face and Online Modalities

This dataset was acquired during collaboration and competition tasks performed by sixteen subject pairs (N = 32) of one female and one male under different (face-to-face and online) modalities. The collaborative task corresponds to cooperating to put together a 100-piece puzzle, while the competitio...

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Bibliographic Details
Published in:Data (Basel) 2024-04, Vol.9 (4), p.47
Main Authors: Hernández-Mustieles, María A, Lima-Carmona, Yoshua E, Mendoza-Armenta, Axel A, Hernandez-Machain, Ximena, Garza-Vélez, Diego A, Carrillo-Márquez, Aranza, Rodríguez-Alvarado, Diana C, Lozoya-Santos, Jorge de J, Ramírez-Moreno, Mauricio A
Format: Article
Language:English
Subjects:
Analysis
Brain research
Cognition & reasoning
Cognitive ability
Collaboration
Competition
Cooperation
Data acquisition
data descriptor
Data transmission
Datasets
Electrodes
Electroencephalography
hyperscanning
Information management
Learning strategies
Methods
neuroeducation
Online education
Signal processing
Social interaction
Wearable computers
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Description
Summary:This dataset was acquired during collaboration and competition tasks performed by sixteen subject pairs (N = 32) of one female and one male under different (face-to-face and online) modalities. The collaborative task corresponds to cooperating to put together a 100-piece puzzle, while the competition task refers to playing against each other in a one-on-one classic 28-piece dominoes game. In the face-to-face modality, all interactions between the pair occurred in person. On the other hand, in the online modality, participants were physically separated, and interaction was only allowed through Zoom software with an active microphone and camera. Electroencephalography data of the two subjects were acquired simultaneously while performing the tasks. This article describes the experimental setup, the process of the data streams acquired during the tasks, and the assessment of data quality.
ISSN:2306-5729
2306-5729
DOI:10.3390/data9040047