Abstract
The field of Neuroergonomics sits at the interface between humans’ brains and humans’ working environment with an aim to improve the work humans do. In this chapter, I will review the scientific journey that led to the birth of Neuroergonomics. The journey starts from the Biocybernetics and Brain–Computer Interfaces projects in 1960s, followed by work on adaptive aiding in 1970s, and all the way to early 2000s with work on Augmented Cognition and Neuroergonomics. An extension to Neuroergonomics gave birth to Cognitive-Cyber Symbiosis, whereby Neuroergonomics is augmented with artificial intelligence agents that act as relationship managers between the human brain and the information-centric work environment. Some challenges facing these fields today are then discussed using a human-swarm teaming lens.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171.
Abbass, H. A., Petraki, E., Merrick, K., Harvey, J., & Barlow, M. (2016). Trusted autonomy and cognitive cyber symbiosis: Open challenges. Cognitive Computation, 8(3), 385–408.
Abbass, H. A., Tang, J., Amin, R., Ellejmi, M., & Kirby, S. (2014). Augmented cognition using real-time EEG-based adaptive strategies for air traffic control. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 58, pp. 230–234). Los Angeles, CA: SAGE Publications.
Beatty, J. (1979). Concluding report: ARPA biocybernetics project (Technical Report ADA078523). The Ruth H. Hooker Technical Library, Naval Research Laboratory.
Brookings, J. B., Wilson, G. F., & Swain, C. R. (1996). Psychophysiological responses to changes in workload during simulated air traffic control. Biological Psychology, 42(3), 361–377.
Licklider, J. C. (1960) Man-computer symbiosis. IRE Transactions on Human Factors in Electronics, 1, 4–11.
Ma-Wyatt, A., Fidock, J., & Abbass, H. A. (2018). Quantifying and predicting human performance for effective human-autonomy teaming. In Proceedings of the International Conference on Science and Innovation for Land Power, Defence Science and Technology Group. Australia: Department of Defence.
Nam, C. S., Nijholt, A., & Lotte, F. (2018). Brain–computer interfaces handbook: Technological and theoretical advances. Boca Raton: CRC Press.
Parasuraman, R. (1998). Neuroergonomics: The study of brain and behavior at work. Washington, DC: Cognitive Science Laboratory. Available online at www.psychology.cua.edu/csl/neuroerg.html.
Parasuraman, R. (2003). Neuroergonomics: Research and practice. Theoretical Issues in Ergonomics Science, 4(1–2), 5–20.
Parasuraman, R., & Wilson, G. F. (2008). Putting the brain to work: Neuroergonomics past, present, and future. Human Factors, 50(3), 468–474.
Rouse, W. B. (1988). Adaptive aiding for human/computer control. Human Factors: The Journal of the Human Factors and Ergonomics Society, 30(4), 431–443.
Schmorrow, D., & Kruse, A. A. (2002). Darpa’s augmented cognition program-tomorrow’s human computer interaction from vision to reality: Building cognitively aware computational systems. In Proceedings of the 2002 IEEE 7th Conference on Human Factors and Power Plants, 2002 (pp. 7–7). IEEE.
Vidal, J. J. (1973). Toward direct brain-computer communication. Annual Review of Bio-physics and Bioengineering, 2(1), 157–180.
Wiener, N., & Schadé, J. P. (1964). Progress in biocybernetics. Amsterdam: Elsevier Publishing Company.
Acknowledgements
The author would like to acknowledge funding from the Australian Research Council Discovery Grant number DP160102037.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Abbass, H.A. (2020). An Introduction to Neuroergonomics: From Brains at Work to Human-Swarm Teaming. In: Nam, C. (eds) Neuroergonomics. Cognitive Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-34784-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-34784-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34783-3
Online ISBN: 978-3-030-34784-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)