Increasing human performance by sharing cognitive load using brain-to-brain interface

Maksimenko, Vladimir and Hramov, Alexander and Frolov, Nikita and Lüttjohann, Annika and Nedaivozov, Vladimir and Grubov, Vadim and Runnova, Anastasia and Makarov, Vladimir and Kurths, Jürgen and Pisarchik, Alexander N. (2018). Increasing human performance by sharing cognitive load using brain-to-brain interface. "Frontiers in Neuroscience", v. 12 ; pp. 949-1. ISSN 1662-453X. https://doi.org/10.3389/fnins.2018.00949.

Description

Title: Increasing human performance by sharing cognitive load using brain-to-brain interface
Author/s:
  • Maksimenko, Vladimir
  • Hramov, Alexander
  • Frolov, Nikita
  • Lüttjohann, Annika
  • Nedaivozov, Vladimir
  • Grubov, Vadim
  • Runnova, Anastasia
  • Makarov, Vladimir
  • Kurths, Jürgen
  • Pisarchik, Alexander N.
Item Type: Article
Título de Revista/Publicación: Frontiers in Neuroscience
Date: December 2018
ISSN: 1662-453X
Volume: 12
Subjects:
Freetext Keywords: brain-computer interface (BCI); brain-to-brain interface (BBI); human-to-human interaction; visual attention; brain states recognition; cognitive performance; cognitive reserve; mental fatigue
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainSAF2016-80240-PUnspecifiedUnspecifiedDesarrollo de nuevos métodos del estudio experimental y control de procesos estocásticos en el cerebro humano durante percepción visual

More information

Item ID: 54117
DC Identifier: http://oa.upm.es/54117/
OAI Identifier: oai:oa.upm.es:54117
DOI: 10.3389/fnins.2018.00949
Official URL: https://www.frontiersin.org/articles/10.3389/fnins.2018.00949/full
Deposited by: Memoria Investigacion
Deposited on: 03 May 2019 13:06
Last Modified: 03 May 2019 13:06
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