Skip to main content
Log in

Embodied Tools, Cognitive Tools and Brain-Computer Interfaces

  • Original Paper
  • Published:
Neuroethics Aims and scope Submit manuscript

Abstract

In this paper I explore systematically the relationship between Brain-Computer Interfaces (BCIs) and their human users from a phenomenological and cognitive perspective. First, I functionally decompose BCI systems and develop a typology in which I categorize BCI applications with similar functional properties into three categories, those with (1) motor, (2) virtual, and (3) linguistic applications. Second, developing and building on the notions of an embodied tool and cognitive tool, I analyze whether these distinct BCI applications can be seen as bodily or cognitive extensions. Contrary to some recent philosophical claims, I will argue that, although BCI technology may have the potential to become bodily and cognitive extensions for skilled users, at this stage they are not. And while the electrodes may to a variable degree be transparent and incorporated in the body schema, the BCI system as a whole is not. Moreover, BCIs do not have a functional role characteristic for cognition and are therefore not cognitive extensions. Third, based on concepts from the distributed cognition framework, I give a number of suggestions to improve the interface design of linguistic applications, i.e. BCIs that allow its user to spell words by selecting letters on a screen. These suggestions may result in cognitive extension and would enhance the autonomy and quality of life of its users. In sum, in this paper I develop a typology, analysis and critique on the current philosophical debate on BCIs, thereby providing a richer conceptual understanding of BCI systems which allows me to offer some suggestions for improving the interface design of linguistic applications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Notes

  1. These three categories of BCI applications are not meant as an exhaustive typology. There may be other types of applications. However, when reading the BCI literature, these three types of applications are most prominent.

  2. This is not to say that these activities cannot have any cognitive characteristic. Bodily actions can be part of larger extended cognitive systems, but need not necessarily be cognitive extensions in the sense advocated by the extended cognition framework.

References

  1. Clark, A. 2007. Re-inventing ourselves: the plasticity of embodiment, sensing and mind. Journal of Medicine and Philosophy 32(3): 263–282.

    Article  Google Scholar 

  2. Fenton, A., and S. Alpert. 2008. Extending our view on using BCIs for locked-in syndrome. Neuroethics 2(1): 119–132.

    Article  Google Scholar 

  3. Walter, S. 2009. Locked-in syndrome, BCI, and a confusion about embodied, embedded, extended, and enacted cognition. Neuroethics 3(1): 61–72.

    Article  Google Scholar 

  4. Kyselo, M. 2011. Locked-in syndrome and BCI: Towards an enactive approach to the self. Neuroethics. doi:10.1007/s12152-011-9104-x.

  5. Vidal, J.J. 1973. Toward direct brain-computer communication. Annual Review of Biophysics and Bioengineering 2: 157–180.

    Article  Google Scholar 

  6. Leuthardt, E., G. Schalk, J. Roland, A. Rouse, and W. Moran. 2009. Evolution of brain-computer interfaces: Going beyond classic motor physiology. Neurosurgery Focus 27(1): 1–11.

    Article  Google Scholar 

  7. Wolpaw, J.R. 2007. Brain-computer interfaces as new brain output pathways. Journal of Physiology 579: 613–619.

    Article  Google Scholar 

  8. Donoghue, J.P. 2008. Bridging the brain to the world: A perspective on neural interface systems. Neuron 60: 511–521.

    Article  Google Scholar 

  9. Patterson, J.R., and M. Grabois. 1986. Locked-in syndrome: A review of 139 cases. Stroke 17: 758–764.

    Article  Google Scholar 

  10. Green, A.M., and J.F. Kalaska. 2011. Learning to move machines with the mind. Trends in Neurosciences 34(2): 61–75.

    Article  Google Scholar 

  11. Carmena, J., M. Lebedev, R. Crist, J. O’Doherty, D. Santucci, D. Dimitrov, P. Patil, C. Henriquez, and M. Nicolelis. 2003. Learning to control a brain-machine interface for reaching and grasping by primates. PloS Biology 1(2): 193–208.

    Article  Google Scholar 

  12. Clark, A. 2008. Supersizing the mind: Embodiment, action, and cognitive extension. Oxford University Press.

  13. Vaesen, K. forthcoming. Giere’s (In)appropriation of distributed cognition. Social Epistemology.

  14. Friedman, D., R. Leeb, G. Pfurtscheller, and M. Slater. 2010. Human-computer interface issues in controlling virtual reality with brain-computer interface. Human-Computer Interaction 25: 67–93.

    Article  Google Scholar 

  15. Heidegger, M. 1962. Being and time. London: SCM.

    Google Scholar 

  16. Ihde, D. 1990. Technology and the Life-World: From Garden to Eden. Indiana University Press.

  17. Heersmink, R. 2011. Defending extension theory: A response to Kiran and Verbeek. Philosophy and Technology. doi:10.1007/s13347-011-0035-6.

  18. Clark, A., and D. Chalmers. 1998. The extended mind. Analysis 58: 10–23.

    Article  Google Scholar 

  19. Menary, R. 2007. Cognitive integration: Mind and cognition unbounded. Palgrave McMillan.

  20. Clark, A. 2001. Mindware: An introduction to the philosophy of cognitive science. Oxford University Press.

  21. Menary, R. 2007. Writing as thinking. Language Sciences 29(5): 621–632.

    Article  Google Scholar 

  22. Donald, M. 1991. Origins of the modern mind: Three stages in the evolution of culture and cognition. Harvard University Press.

  23. Hutchins, E. 1995. Cognition in the wild. MIT Press.

  24. Kirsh, D. 2006. Distributed cognition: A methodological note. Pragmatics & Cognition 14(2): 249–262.

    Article  Google Scholar 

  25. Sutton, J. 2006. Distributed cognition: Domains and dimensions. Pragmatics & Cognition 2(14): 235–247.

    Article  Google Scholar 

  26. Hollan, J., E. Hutchins, and D. Kirsh. 2000. Distributed cognition: Toward a new foundation for human-computer interaction research. Transactions on Computer-Human Interaction 7(2): 174–196.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Heersmink.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Heersmink, R. Embodied Tools, Cognitive Tools and Brain-Computer Interfaces. Neuroethics 6, 207–219 (2013). https://doi.org/10.1007/s12152-011-9136-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12152-011-9136-2

Keywords

Navigation