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Title: Mental representation of traffic signs and their classification: informative signs
Authors: Vilchez Tornero, Jose Luis
metadata.dc.ucuenca.correspondencia: Vilchez Tornero, Jose Luis, jose.vilchez@ucuenca.edu.ec
Keywords: Attention
Movement
MDRA model
Driving
traffic signs
Cognitive ergonomics
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 5. Ciencias Sociales
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 5.1.1 Psicología (Humanos con Relacion a Máquinas)
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 5.1 Psicología y Ciencias Cognitivas
metadata.dc.ucuenca.areaconocimientounescoamplio: 03 - Ciencias Sociales, Periodismo e Información
metadata.dc.ucuenca.areaconocimientounescodetallado: 0313 - Psicología
metadata.dc.ucuenca.areaconocimientounescoespecifico: 031 - Ciencias Sociales y Ciencias del Comportamiento
Issue Date: 2021
metadata.dc.ucuenca.embargoend: 31-Dec-2050
metadata.dc.ucuenca.volumen: Volumen 22, número 4
metadata.dc.source: Theoretical Issues in Ergonomics Science
metadata.dc.identifier.doi: 10.1080/1463922X.2020.1818868
metadata.dc.type: ARTÍCULO
Abstract: 
The effect of traffic signs in the driving behavior is not fully understood yet. The knowledge of humans’ cognitive processing of the meaning of traffic signs will improve response time to those signs and the decision making carried out by drivers. Literature shows that signs–that are not-well designed–produce counterproductive effects on movement. This study sounds out which are precisely the Ecuadorian, informative traffic signs more cognitive ergonomic for participants and classify them by using the criteria of representativity, univocity and numbers of errors provoked by them. Doing so, it can be detected which traffic signs need to be redesigned. The economic, social and psychological consequences of car accidents are enough important to carry out this study, which aims to increase road safety
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-85091184282&doi=10.1080%2f1463922X.2020.1818868&origin=inward&txGid=ccd8407b0381c2b4b67b1f971311c924
metadata.dc.ucuenca.urifuente: https://www.tandfonline.com/toc/ttie20/current
ISSN: 1464-536X
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