Memorias de investigación
Artículos en revistas:
Increasing human performance by sharing cognitive load using brain-to-brain interface
Año:2018

Áreas de investigación
  • Biología y otras ciencias naturales,
  • Aplicaciones de la fisica a problemas y sistemas biologicos,
  • Neurociencia cognitiva,
  • Percepción visual,
  • Atención

Datos
Descripción
Brain-computer interfaces (BCIs) attract a lot of attention because of their ability to improve the brain?s efficiency in performing complex tasks using a computer. Furthermore, BCIs can increase human?s performance not only due to human-machine interactions, but also thanks to an optimal distribution of cognitive load among all members of a group working on a common task, i.e., due to human-human interaction. The latter is of particular importance when sustained attention and alertness are required. In every day practice, this is a common occurrence, for example, among office workers, pilots of a military or a civil aircraft, power plant operators, etc. Their routinely work includes continuous monitoring of instrument readings and implies a heavy cognitive load due to processing large amounts of visual information. In this paper, we propose a brain-to-brain interface (BBI) which estimates brain states of every participant and distributes a cognitive load among all members of the group accomplishing together a common task. The BBI allows sharing the whole workload between all participants depending on their current cognitive performance estimated from their electrical brain activity. We show that the team efficiency can be increased due to redistribution of the work between participants so that the most difficult workload falls on the operator who exhibits maximum performance. Finally, we demonstrate that the human-to-human interaction is more efficient in the presence of a certain delay determined by brain rhythms. The obtained results are promising for the development of a new generation of communication systems based on neurophysiological brain activity of interacting people. Such BBIs will distribute a common task between all group members according to their individual physical conditions.
Internacional
Si
JCR del ISI
Si
Título de la revista
Frontiers in Neuroscience
ISSN
1662-453X
Factor de impacto JCR
3,877
Información de impacto
Datos JCR del año 2017
Volumen
12
DOI
10.3389/fnins.2018.00949
Número de revista
Desde la página
949-1
Hasta la página
949-12
Mes
DICIEMBRE
Ranking
Q1

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Vladimir Maksimenko Yuri Gagarin State Technical University of Saratov
  • Autor: Alexander Hramov Yuri Gagarin State Technical University of Saratov
  • Autor: Nikita Frolov Yuri Gagarin State Technical University of Saratov
  • Autor: Annika Lüttjohann University of Münster
  • Autor: Vladimir Nedaivozov Yuri Gagarin State Technical University of Saratov
  • Autor: Vadim Grubov Yuri Gagarin State Technical University of Saratov
  • Autor: Anastasia Runnova Yuri Gagarin State Technical University of Saratov
  • Autor: Vladimir Makarov Yuri Gagarin State Technical University of Saratov
  • Autor: Jürgen Kurths Humboldt University
  • Autor: Alexander Pisarchik UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnologías para Ciencias de la Salud
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB