www.hyps.cz
Devices are already part of our bodies. The next step is to connect them to the brain. Brief explanation how brain connected devices work and what design opportunities it is bringing.
2. OTAKAR HYPS
UX Designer at Oracle Netsuite
Brain and brain connected devices is my hobby, not my work.
https://hyps.cz/
https://www.linkedin.com/in/otakarhyps/
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3. TABLE OF CONTENT
1. Motivation, the state of the art
2. Brain-Computer interaction
3. Three stories from the future
4. The opportunity for design
5. My opinion on ethics
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14. How does this enlightment
of our brain work?
Photo by Daniel Öberg on Unsplash
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15. fMRI – functional
magnetic resonance
imagery
https://www.freepik.com/free-vector/blue-eyes-collection_717277.htm
Photo by Charles Deluvio on Unsplash
https://www.martinos.org/
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28. CHALLENGES
Technology
• Noisy signal
• Slow and clumsy technology
• Size of technology for
advanced interaction
• Long calibration time
Design
- The whole new world
- Agency
- Interaction Metaphors
Philosophy
- Ethics
- Moral
- Societal
Photos by Alex Haney and NASA on Unsplash
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50. REFERENCE
Perception and Cognition of Cues Used in Synchronous Brain–Computer Interfaces Modify Electroencephalographic Patterns of Control Tasks
Front. Hum. Neurosci., 23 November 2015| https://doi.org/10.3389/fnhum.2015.00636
A P300-Based Brain-Computer Interface for Improving Attention
Front. Hum. Neurosci., 04 January 2019 | https://doi.org/10.3389/fnhum.2018.00524
Controlling attention with brain waves, December 5, 2019
https://neurosciencenews.com/attention-brain-waves-15290/
Characterizing the Dynamical Complexity Underlying Meditation
10 July 2019, http://brainvitge.org/website/wp-content/uploads/2019/07/Escrichs_FSN_2019.pdf
The experience of agency in human-computer interactions: a review
Front. Hum. Neurosci., 21 August 2014 | https://doi.org/10.3389/fnhum.2014.00643
The Interface between Neuroscience and Neuro-Psychoanalysis: Focus on Brain Connectivity
Front. Hum. Neurosci., 03 February 2016 | https://doi.org/10.3389/fnhum.2016.00020
Mind Control for the Masses—No Implant Needed
01.02.2020 https://www.wired.com/story/nextmind-noninvasive-brain-computer-interface/
Decoding the Human Eye,
October 24, 2007 https://www.technologyreview.com/2007/10/24/98365/decoding-the-human-eye/
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51. REFERENCE
Direct Neural Interface & DARPA - Dr Justin Sanchez, Jun 26, 2017
https://www.youtube.com/watch?v=nvUHDK59Igw
Palaniappan, R., Mandic, D.P. EEG Based Biometric Framework for Automatic Identity Verification. J VLSI Sign Process Syst Sign Im 49, 243–250 (2007).
https://doi.org/10.1007/s11265-007-0078-1
A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
Jiang L, Stocco A, Losey DM, Abernethy JA, Prat CS, Rao RPN. BrainNet: Sci Rep. 2019;9(1):6115. Published 2019 Apr 16. doi:10.1038/s41598-019-41895-7
https://pubmed.ncbi.nlm.nih.gov/30992474/
A direct brain-to-brain interface in humans
Rao, R. P., Stocco, A., Bryan, M., Sarma, D., Youngquist, T. M., Wu, J., & Prat, C. S. (2014). PloS one, 9(11), e111332. https://doi.org/10.1371/journal.pone.0111332
Thought as a Technology, Michael Nielsen
November 2016, http://cognitivemedium.com/tat/
The essence of ‘When digital becomes human’, STEVEN VAN BELLEGHEM
October 21, 2014 https://www.stevenvanbelleghem.com/blog/the-essence-of-when-digital-becomes-human
Editorial: Brain-Computer Interfaces and Augmented/Virtual Reality
Front. Hum. Neurosci., 12 May 2020 | https://doi.org/10.3389/fnhum.2020.00144
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52. REFERENCE
Toward a P300 Based Brain-Computer Interface for Aphasia Rehabilitation after Stroke: Presentation of Theoretical Considerations and a Pilot Feasibility Study
Front. Hum. Neurosci., 11 November 2016 | https://doi.org/10.3389/fnhum.2016.00547
Brain-computer interfaces: a neuroscience paradigm of social interaction? A matter of perspective
Front. Hum. Neurosci., 01 June 2012 | https://doi.org/10.3389/fnhum.2012.00114
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design
Front. Hum. Neurosci., 17 September 2013 | https://doi.org/10.3389/fnhum.2013.00568
Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)
Front. Hum. Neurosci., 06 August 2014 | https://doi.org/10.3389/fnhum.2014.00574
Transition Point: From Steam to the Singularity
Sean A. Culey, 1789014883 (ISBN13: 9781789014884), November 6th 2018 by Troubador Publishing
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