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dc.contributor.authorColl Martín, Tao 
dc.contributor.authorRomán Caballero, Rafael 
dc.contributor.authorCaballero Martínez, Juan 
dc.contributor.authorMartín Sánchez, Paulina del Carmen
dc.contributor.authorTrujillo, Laura
dc.contributor.authorCásedas, Luis
dc.contributor.authorConcepción Castellanos, M.
dc.contributor.authorHemmerich, Klara
dc.contributor.authorManini, Greta
dc.contributor.authorBotta, Fabiano 
dc.contributor.authorMarotta, Andrea 
dc.contributor.authorMartín Arévalo, Elisa 
dc.contributor.authorLupiáñez Castillo, Juan 
dc.date.accessioned2023-10-31T10:17:08Z
dc.date.available2023-10-31T10:17:08Z
dc.date.issued2023-09-08
dc.identifier.citationColl-Martín, Tao, 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, et al. 2023. The ANTI-Vea-UGR Platform: A Free Online Resource to Measure Attentional Networks (Alertness, Orienting, and Executive Control) Functioning and Executive/Arousal Vigilance. Journal of Intelligence 11: 181. [https://doi.org/10.3390/ jintelligence11090181]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/85362
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipProject P20-00693, funded by the Consejería de Universidad, Investigación e Innovación of the Junta de Andalucíaes_ES
dc.description.sponsorshipFEDER a way of making Europe, and by the Spanish MCIN/AEI/10.13039/501100011033es_ES
dc.description.sponsorshipPID2020-114790GB-I00es_ES
dc.description.sponsorshipPredoctoral fellowship (FPU17/06169) from the Spanish Ministry of Education, Culture, and Sportes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectVigilancees_ES
dc.subjectAttention es_ES
dc.subjectOnline assessmentes_ES
dc.titleThe ANTI-Vea-UGR Platform: A Free Online Resource to Measure Attentional Networks (Alertness, Orienting, and Executive Control) Functioning and Executive/Arousal Vigilancees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/jintelligence11090181
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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