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The ANTI-Vea-UGR Platform: A Free Online Resource to Measure Attentional Networks (Alertness, Orienting, and Executive Control) Functioning and Executive/Arousal Vigilance

Authors :
Tao Coll-Martín
Rafael Román-Caballero
María del Rocío Martínez-Caballero
Paulina del Carmen Martín-Sánchez
Laura Trujillo
Luis Cásedas
M. Concepción Castellanos
Klara Hemmerich
Greta Manini
María Julieta Aguirre
Fabiano Botta
Andrea Marotta
Elisa Martín-Arévalo
Fernando G. Luna
Juan Lupiáñez
Source :
Journal of Intelligence, Vol 11, Iss 9, p 181 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The Attentional Networks Test for Interactions and Vigilance—executive and arousal components (ANTI-Vea) is a computerized task of 32 min duration in the standard format. The task simultaneously assesses the main effects and interactions of the three attentional networks (i.e., phasic alertness, orienting, and executive control) and two dissociated components of vigilance with reasonable reliability (executive and arousal vigilance). We present this free and publicly accessible resource (ANTI-Vea-UGR; https://anti-vea.ugr.es/) developed to easily run, collect, and analyze data with the ANTI-Vea (or its subtasks measuring some attentional and/or vigilance components embedded in the ANTI-Vea). Available in six different languages, the platform allows for the adaptation of stimulus timing and procedure to facilitate data collection from different populations (e.g., clinical patients, children). Collected data can be freely downloaded and easily analyzed with the provided scripts and tools, including a Shiny app. We discuss previous evidence supporting that attention and vigilance components can be assessed in typical lab conditions as well as online and outside the laboratory. We hope this tutorial will help researchers interested in measuring attention and vigilance with a tool useful to collect data from large sample sizes and easy to use in applied contexts.

Details

Language :
English
ISSN :
20793200
Volume :
11
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Journal of Intelligence
Publication Type :
Academic Journal
Accession number :
edsdoj.4d8870db7b84598802957654e342c27
Document Type :
article
Full Text :
https://doi.org/10.3390/jintelligence11090181