On the Use of Cognitive Neuroscience in Industrial Applications by Using Neuroelectromagnetic Recordings

  • Giovanni Vecchiato
  • Anton Giulio Maglione
  • Fabio Babiloni
Conference paper
Part of the Advances in Cognitive Neurodynamics book series (ICCN)


Nowadays there is an emerging interest to apply the cognitive neuroscience recent scientific findings into the industrial context, to increase the efficacy of the interaction between humans and devices. The aim of the present chapter is to illustrate the possibilities of the use of electroencephalographic (EEG) signals recorded in humans to improve several industrial applications. In fact, the main message of this chapter is that the actual EEG technologies could be not only used in medical environments but also widely exploited into aeronautics and marketing contexts. It will be highlighted the use of EEG signals for application including the on-line monitoring of the mental workload of pilots, air traffic controllers and professional drivers. Physiological variables that can be used in neuromarketing analysis to assess variation of cognitive and emotional states during the perception of advertisements will be also illustrated. Finally, preliminary results of the first EEG experience of recording the brain activity during a visit of a real art gallery will be shown. Overall, such findings testify how the electrical neuroimaging seems to be now ready to pave the way to the industrial neuroscience.


Industrial neuroscience Mental workload Neuromarketing Neuroaesthetic 



This work has been performed with the support of the Italian Minister for Foreign Affairs “Direzione Generale per la Promozione del Sistema Paese” in the 2013.


  1. 1.
    Wolpaw J R and McFarland D J 2004 Control of a two-dimensional movement signal by a noninvasive brain–computer interface in humans Proc. Natl Acad. Sci. USA 101 17849–54PubMedCentralPubMedCrossRefGoogle Scholar
  2. 2.
    Babiloni F, Cincotti F, Marciani M, Salinari S, Astolfi L, Aloise F, De Vico Fallani F, Mattia D. On the use of brain-computer interfaces outside scientific laboratories toward an application in domotic environments. Int Rev Neurobiol. 2009;86:133–46.PubMedCrossRefGoogle Scholar
  3. 3.
    Borghini G, Astolfi L, Vecchiato G, Mattia D, Babiloni F., Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neurosci Biobehav Rev. 2012 Oct 30. doi:pii: S0149-7634(12)00170-4. 10.1016/j.neubiorev.2012.10.003.Google Scholar
  4. 4.
    Doud AJ, Lucas JP, Pisansky MT, He B. Continuous three-dimensional control of a virtual helicopter using a motor imagery based brain-computer interface. PLoS One. 2011;6(10).Google Scholar
  5. 5.
    Lee N, Broderick A J, Chamberlain I. What is neuromarketing? A discussion and agenda for future research. Int J Psychophysiol, vol 63, no 2, pp 199–204, 2007.PubMedCrossRefGoogle Scholar
  6. 6.
    Di Dio C, Gallese V. Neuroaesthetics: a review. Current Opinion in Neurobiology 2009, 19:682–687CrossRefGoogle Scholar
  7. 7.
    Comstock J. R., “Matb – Multi-Attribute Task Battery For Human Operator Workload And Strategic Behavior Research,” Jan. 1994.Google Scholar
  8. 8.
    Vecchiato et al., “Understanding the Impact of TV Commercials: Electrical Neuroimaging”. IEEE Pulse, Vol.3(3), Page(s): 42–47. 2012.Google Scholar
  9. 9.
    Davidson RJ. (2004) What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research. Biol Psychol. 67(1–2):219−33.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Giovanni Vecchiato
    • 1
    • 2
  • Anton Giulio Maglione
    • 2
    • 3
  • Fabio Babiloni
    • 1
    • 2
  1. 1.Department of Physiology and PharmacologyUniversity “Sapienza”RomeItaly
  2. 2.Brainsigns s.r.l.RomeItaly
  3. 3.Department of Anatomy, Histology, Forensic Medicine and OrthopedicsUniversity of Rome “Sapienza”RomeItaly

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