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Driver performance, prediction and brain rhythms: What we can learn from external sensory entrainment?
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  • Rodrigo Henriquez Chaparro,
  • Francisco J. Parada,
  • Franco Basso,
  • Leonardo J. Basso,
  • Raul Pezoa,
  • Francisca Cuevas,
  • Diego de la Barra,
  • Daniel Rojas-Líbano
Rodrigo Henriquez Chaparro
Department of Psychiatry, Interdisciplinary Center for Neurosciences, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva y Social, Facultad de Psicología, Universidad Diego Portales
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Francisco J. Parada
Laboratorio de Neurociencia Cognitiva y Social, Facultad de Psicología, Universidad Diego Portales
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Franco Basso
School of Industrial Engineering, Diego Portales University, Santiago, Chile
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Leonardo J. Basso
Civil Engineering Department, Universidad de Chile, Santiago, Chile
Raul Pezoa
Civil Engineering Department, Universidad de Chile, Santiago, Chile
Francisca Cuevas
School of Industrial Engineering, Diego Portales University, Santiago, Chile
Diego de la Barra
Programa de Magíster en Neurociencia Social, Facultad de Psicología. Universidad Diego Portales. Santiago, Chile
Daniel Rojas-Líbano
Laboratorio de Neurociencia Cognitiva y Social, Facultad de Psicología, Universidad Diego Portales
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Abstract

Drive performance in complex road scenarios research usually tends to mainly consider variables as the accuracy of motor human behavior, attentional focus levels, and technological devices for predicting risky events. However, recent evidence -particularly within visual perception research- indicates that the nervous system is continuously coupled with the dynamic, ever-changing environment. This is a highly adaptive feature allowing the online adaptation of the nervous system to the rhythm of incoming stimuli. Evidence-based current ideas about brain functioning suggest that Bayesian operations combined with external sensory entrainment approaches might improve human perception performance. These advancements provide a unique opportunity to refine high-performance motor-sensory coupling. Likewise, allowing evidence-based development of innovative strategies for accident prevention and road design. Thus, given the dramatic lifestyle changes and the rapid expansion of cities occurring in the modern globalized world, we provide a new perspective for the establishment of innovative vial infrastructure and accident prediction systems. Importantly, these systems and devices can be designed using behavioral and neural information obtained from human drivers with diverse cognitive, sensory, perceptual, and behavioral characteristics.
Keywords: sensory entrainment, rhythmic stimulation, perception, driving performance, brain rhythms 
*Correspondence: Rodrigo A. Henríquez Ch.