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Brain Connected Devices - The Design Opportunity

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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.

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Brain Connected Devices - The Design Opportunity

  1. 1. BRAIN CONNECTED DEVICES The Design Opportunity 1
  2. 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/ 2
  3. 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 3
  4. 4. What!?! Brain and Computer? 4
  5. 5. Brain and Computer TOGETHER?! 5
  6. 6. ONE CENTURY AGO https://www.youtube.com/watch?v=Hvz180KkiPY 6
  7. 7. Step by step, We continuously Improve 7
  8. 8. Mobile Phone is already part of our body Photo by Doğukan Şahin on Unsplash 8
  9. 9. IT IS NOT SURPRISING ANYMORE https://escuelaestech.es/calendario-escolar-linares-2019-2020/ 9
  10. 10. The technology gets in our brains while we are having fun 10
  11. 11. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/ 11
  12. 12. 12
  13. 13. https://youtu.be/nvUHDK59Igw 13
  14. 14. How does this enlightment of our brain work? Photo by Daniel Öberg on Unsplash 16
  15. 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/ 17
  16. 16. FUNCTIONAL MAGNETIC RESONANCE IMAGING https://theanatomyoflove.com/how-do-we-study-love/fmri-awake-but-still/ 18
  17. 17. EEG (ELECTROENCEPHALOGRAPHY) https://www.bitbrain.com/neurotechnology-products/semi-dry-eeg/versatile-eeg 19
  18. 18. https://www.promosapiens.hr/en/services/eeg/ 20
  19. 19. PASSIVE BCI (BRAIN-COMPUTER INTERACTION) Photo by Maarten van den Heuvel on Unsplash 21
  20. 20. ACTIVE BCI (BRAIN-COMPUTER INTERACTION) Photo by Matthew Brodeur on Unsplash 22
  21. 21. Waiting for a signal Receives a signal Evaluates and acts https://www.freepik.com/ 23
  22. 22. 24
  23. 23. 25
  24. 24. Machine can learn 26
  25. 25. BRAIN TO BRAIN INTERACTION Transports information from one brain to another with 83% accuracy. 27
  26. 26. ELECTROENCEPHALOGRAPHY TRANSCRANIAL MAGNETIC STIMULATION https://www.washington.edu/news/2014/11/05/uw-study-shows-direct-brain-interface-between-humans/ 28
  27. 27. 29
  28. 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 30
  29. 29. STORY #1 FOCUS http://igivecoolgifts.com/muse-s-the-brain-sensing-headband-bundle/ 31
  30. 30. What if we switch all distractions off when she gets into the flow? 32
  31. 31. STORY #2 EMOTIONS Photo by Alexandra Mirgheș on Unsplash 33
  32. 32. What if the device tells you that you are getting angry and to calm down? Photo by Allie on Unsplash 34
  33. 33. STORY #3 COMMUNICATION https://theluxonomist.es/2015/08/26/inada-dreamwave-massage-chair/the-luxonomist 35
  34. 34. What if we could collaborate faster than ever just by thinking? 36
  35. 35. COLLABORATIVE PROBLEM SOLVING 3 people connected brains 81.25% accuracy 37
  36. 36. https://www.nature.com/articles/s41598-019-41895-7 38
  37. 37. AN EXTRA STORY THE OPPORTUNITY FOR DESIGN https://www.sohu.com/na/324622635_119097 39
  38. 38. DESKTOP AND MOBILE 40
  39. 39. TV, WATCH, VOICE 41
  40. 40. FLOW: PLAY A PLAYLIST 42
  41. 41. 1. 2. 3. Metaphors EEG Flow Time 43
  42. 42. New Elements of Cognition Design needs to create strong metaphors that all brains can understand Photo by Chepe Nicoli on Unsplash 44
  43. 43. We need to figure out how to provide visual feedback 45
  44. 44. How might we onboard the users with and without Machine Learning? 46
  45. 45. Adaptive Agent What is the level of control we can give to the system handling the brain? Photo by Mathew Schwartz 47
  46. 46. WHAT ARE THE CURRENT TECHNOLOGY- ETHICS ISSUES? Photo by Yeshi Kangrang on Unsplash 48
  47. 47. The machines track and manipulate the human behaviour towards the commercial goals of third parties. 49
  48. 48. Lets not allow the shopping carts to lead the way to the brain connected devices. Photo by Markus Spiske on Unsplash 50
  49. 49. http://eepurl.com/g6jb4X A future newsletter about Brain-Computer Interaction 51 https://hyps.cz/ https://www.linkedin.com/in/otakarhyps/
  50. 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/ 52
  51. 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 53
  52. 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 54

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