Towards Trustworthy Man-Machine Synchronization

  • Johan de HeerEmail author
  • Paul Porskamp
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)


Hyperscanning is a method by which multiple individuals can interact with one another while their brains are simultaneously scanned. Interpersonal brain activity synchronization has found to be indicative for levels of collaboration, trust, coordination and leadership among team members. Here it is suggested that systems that team with humans need to provoke specific responses as humans do to synchronize. Entities ‘in sync’ perform better. Therefore, understanding social interactions between humans in terms of synchronization may be the prerequisite for developing and enhancing true trustworthy man-machine teaming.


Hyperscanning Man-machine cooperation Human behavior analytics 


  1. 1.
    European Defence Agency: Remote Defence: Unmanned and autonomous systems take hold in military toolboxes. EDM European Defence Matters, Issue #16 (2018)Google Scholar
  2. 2.
    Kahneman, D.: Thinking, Fast and Slow. Macmillan, London (2011). ISBN 978-1-4299-6935-2Google Scholar
  3. 3.
    Shah, J., Kim, B., Nikolaidis, S.: Human-inspired techniques for human-machine team planning. In: AAAI Technical Report FS-12-04 Human Control of Bio-inspired Swarms (2012)Google Scholar
  4. 4.
    Hirsch, J.: The grand challenge to understand the brain: neuroimaging by functional near-infrared spectroscopy. Shimadzu J. 5(1) (2017).
  5. 5.
    Crivelli, D., Balconi, M.: Near-infrared spectroscopy applied to complex systems and human hyperscanning networking. Appl. Sci. 7, 922 (2017). Scholar
  6. 6.
    Duan, L., Dai, R., Xiao, X., Sun, P., Li, Z., Zhu, C.: Cluster imaging of multi-brain networks (CIMBN): a general framework for hyperscanning and modeling a group of interacting brains. Frontiers in Neuroscience, Technology Report. Accessed 28 July 2015
  7. 7.
    De Vico Fallani, F., Richiardi, J., Chavez, M., Achard, S.: Graph analysis of functional brain networks: practical issues in translational neuroscience. Phil. Trans. R. Soc. B369: 20130521. Accessed 1 Sept 2014CrossRefGoogle Scholar
  8. 8.
    Akash, K., Hu, W., Jain, N., Reid, T.: A classification model for sensing human trust in machines using EEG and GSR. ACM Trans. Interact. Intell. Syst. 8(4), 27 (2018)CrossRefGoogle Scholar
  9. 9.
    Cui, X., Bryant, D.M., Reiss, A.L.: NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation. Neuroimage 59(3), 2430–2437 (2012)CrossRefGoogle Scholar
  10. 10.
    Mu, Y., Han, S., Gelfand, M.J.: The role of gamma interbrain synchrony in social coordination when humans face territorial threats. Soc. Cogn. Affect. Neurosci. 2017, 1614–1623 (2017)CrossRefGoogle Scholar
  11. 11.
    Jiang, J., Chen, C., Dai, B., Shi, G., Ding, G., Liu, L., Lu, C.: Leader emergence through interpersonal neural synchronization. Proc. Natl. Acad. Sci. 112(14), 4274–4279 (2015)CrossRefGoogle Scholar
  12. 12.
    Szymanski, C., Pesquita, A., Brennan, A., Perdikis, D., Enns, J., Brick, T., Muller, V., Lindenberger, U.: Teams on the same wavelength perform better: inter-brain phase synchronization constitutes a neural substrate for social facilitation. Neuroimage 152, 425–436 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Thales Research and TechnologyHengeloThe Netherlands

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