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BRAIN CONNECTED DEVICES
The
Design
Opportunity
1
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/
2
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
3
What!?!
Brain and Computer?
4
Brain and Computer
TOGETHER?!
5
ONE CENTURY AGO
https://www.youtube.com/watch?v=Hvz180KkiPY
6
Step by step,
We continuously
Improve
7
Mobile Phone is already
part of our body
Photo by Doğukan Şahin on Unsplash
8
IT IS NOT
SURPRISING
ANYMORE
https://escuelaestech.es/calendario-escolar-linares-2019-2020/
9
The technology gets
in our brains while
we are having fun
10
https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/
11
12
https://youtu.be/nvUHDK59Igw
13
How does this enlightment
of our brain work?
Photo by Daniel Öberg on Unsplash
16
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/
17
FUNCTIONAL
MAGNETIC
RESONANCE
IMAGING
https://theanatomyoflove.com/how-do-we-study-love/fmri-awake-but-still/
18
EEG
(ELECTROENCEPHALOGRAPHY)
https://www.bitbrain.com/neurotechnology-products/semi-dry-eeg/versatile-eeg
19
https://www.promosapiens.hr/en/services/eeg/
20
PASSIVE BCI
(BRAIN-COMPUTER
INTERACTION)
Photo by Maarten van den Heuvel on Unsplash
21
ACTIVE BCI
(BRAIN-COMPUTER
INTERACTION)
Photo by Matthew Brodeur on Unsplash
22
Waiting for a signal Receives a signal Evaluates and acts
https://www.freepik.com/
23
24
25
Machine can learn
26
BRAIN TO BRAIN INTERACTION
Transports information
from one brain to another
with 83% accuracy.
27
ELECTROENCEPHALOGRAPHY TRANSCRANIAL MAGNETIC STIMULATION
https://www.washington.edu/news/2014/11/05/uw-study-shows-direct-brain-interface-between-humans/
28
29
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
30
STORY #1
FOCUS
http://igivecoolgifts.com/muse-s-the-brain-sensing-headband-bundle/
31
What if we switch all
distractions off when she
gets into the flow?
32
STORY #2
EMOTIONS
Photo by Alexandra Mirgheș on Unsplash
33
What if the device tells
you that you are getting
angry and to calm down?
Photo by Allie on Unsplash
34
STORY #3
COMMUNICATION
https://theluxonomist.es/2015/08/26/inada-dreamwave-massage-chair/the-luxonomist
35
What if we could
collaborate faster than
ever just by thinking?
36
COLLABORATIVE PROBLEM SOLVING
3 people connected brains
81.25% accuracy
37
https://www.nature.com/articles/s41598-019-41895-7
38
AN EXTRA STORY
THE OPPORTUNITY
FOR DESIGN
https://www.sohu.com/na/324622635_119097
39
DESKTOP AND MOBILE
40
TV, WATCH, VOICE
41
FLOW: PLAY A PLAYLIST
42
1.
2.
3.
Metaphors
EEG
Flow
Time
43
New Elements of Cognition
Design needs to create strong
metaphors that all brains can
understand
Photo by Chepe Nicoli on Unsplash
44
We need to figure out how to
provide visual feedback
45
How might we onboard the
users with and without
Machine Learning?
46
Adaptive Agent
What is the level of control
we can give to the system
handling the brain?
Photo by Mathew Schwartz
47
WHAT ARE THE
CURRENT
TECHNOLOGY-
ETHICS ISSUES?
Photo by Yeshi Kangrang on Unsplash
48
The machines track and manipulate
the human behaviour towards the
commercial goals of third parties.
49
Lets not allow the shopping carts to
lead the way to the brain
connected devices.
Photo by Markus Spiske on Unsplash
50
http://eepurl.com/g6jb4X
A future newsletter about Brain-Computer Interaction
51
https://hyps.cz/
https://www.linkedin.com/in/otakarhyps/
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/
52
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
53
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
54

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Brain Connected Devices - The Design Opportunity