Post on 21-Jun-2020
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IE/TC455 class #30
INDE/TC 455:User Interface Design
Class #30
URL:courses.washington.edu/ie455
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TA Moment
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Class #29 Review
• Where go from here– Presentation– Final Report
• Short report from groups– Report cards
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Assignment for Class #31
• Individual
– Modules 5.9, 5.10, 5.11
• Group
– Prepare final presentation for Lab #9 (5 Dec)
– Prepare final report (due Monday 8 Dec at
5:00P)
– Turn in personal assessment with final report
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Class #30 Agenda
• Finish 6B report cards
• Future of interfaces
• Group time
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Future of Interfaces
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Arthur Clarke’s -Laws of Prediction
1. When a distinguished but elderly scientist statesthat something is possible, he is almost certainlyright. When he states that something isimpossible, he is very probably wrong.
2. The only way of discovering the limits of thepossible is to venture a little way past them intothe impossible.
3. Any sufficiently advanced technology isindistinguishable from magic.
From Kurzweil: The Age of the Spiritual Machine
Approaching the ‘Singularity’
Ray Kurzweil -Law of Accelerating Returns KurzweilAI.net -
March 7, 2001
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‘Singularity’
“…technological change so rapid and soprofound that it represents a rupture in thefabric of human history. Some would saythat we cannot comprehend theSingularity, at least with our current levelof understanding, and that it is impossible,therefore, to look past its "event horizon"and make sense of what lies beyond.”
Ray Kurzweil -Law of Accelerating Returns KurzweilAI.net
- March 7, 2001.
Life Expectancy
Implications for Tom…
Maybe ???…
Will I see the ‘Singularity’
Ray Kurzweil -Law of Accelerating Returns KurzweilAI.net -
March 7, 2001
…but isn’t IT already here??
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Drivers for next generation interfaces
• Robotics• Biosensing• nanotechnology• Molecular & quantum computing• Massive participation (synchronous &
asynchronous)• Wireless & portability• Fashion• Quest for the ‘ultimate experience’
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Furness predictions
• 1. Machines will become ‘human-like’!
Tomorrow’s paradigm shift...
! Image generators
! Displays
! Human factors
! Content acquisition
& synthesis
!Robotics
!Advanced computing
-pattern recognition
-learning
-self organizing
!Embedded sensors
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Introducing tomorrow’s interface….
Early entities...
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I, ROBOT
Furby meeting
Furby
SONY Robodog
SIGGRAPH Entities - ATR
SIGGRAPH Entities - IBM
Kismet
Kyoko Date
Entities...
An entity I would like to get to know!
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Artificial People
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Human Emulation Robotics
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Hanson Robotics
http://www.hansonrobotics.com/gallery.htm
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Wired Issue 11.12 | December 2003
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Furness predictions
• 1. Machines will become ‘human-like’!
• 2. Humans will inhabit machines
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Wearable Computers
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Wearable Computing
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Microptical Display
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IRONMAN
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Furness predictions
• 1. Machines will become ‘human-like’!
• 2. Humans will inhabit machines
• 3. Machines will inhabit humans
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Affective Computing
• computing that relates to, arises from, ordeliberately influences emotion
• Examples– Helps to communicate emotions of user for personal
reflection or to increase the bandwidth ofcommunication between people.
– recognize and respond to the emotion of a user, such asadjusting the presentation of a computerized tutorwhen a learner is bored, interested, frustrated, orpleased.
– Make computational devices appear to have emotions.
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The MATRIX
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The ‘Borg’
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‘7 of 9’ - a ‘redeemed’ borg
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VeriChipTM
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Furness predictions
• 1. Machines will become ‘human-like’!
• 2. Humans will inhabit machines
• 3. Machines will inhabit humans
• 4. Brain amplification through moreintuitive interfaces– Super cockpit for the mind
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You’ve got to be kidding!
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You’ve got to be kidding!
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VirtuSphere
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Contact Lens Display
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VR Impact on Human Interface Model
HUMAN PROCESSES
CO
GN
ITIV
E
PE
RC
EP
TU
AL
SE
NS
OR
Y
PS
YC
HO
MO
TO
R
DIS
PL
AY
CO
NT
RO
L I
NP
UT
MACHINE PROCESSES
PR
OC
ES
SIN
G
PR
OG
RA
MM
ING
SIGNAL
TRANSFER
DIRECT PATH
USER
MODEL OF
MACHINE
DESIGNER
MODEL OF
USER
MACHINEINDIRECT PATH
A PRIORI
KNOWLEDGE
TRAINING
EXPERIENCEEXPERIENCE
META COMMUNICATION
TASK
USER
MODEL
TASK
USER
MODEL
TASK
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Really far out stuff!
• Mind-matter interaction– Endophysics
• Mindsong
• Direct brain interfaces– Sound to brain
• http://www.transparentcorp.com/special/headphone-less_brainwaves.php
– Brain to robot interfaces• http://www.physorg.com/news67706292.html
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Future of interfaces
• Being there– Sensory immersion– Natural interaction
• Entities– Virtual and physical ‘Things’
that represent computers
• Virtual common• Emotional feedback• Deeply-coupled systems• VIRTUAL FROGS
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Thanks…
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My Family
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My ‘other’ family
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HIT Lab NZ 2005 Virtual Worlds Consortium
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Sponsors
• National Science Foundation• NIH/NCI• DARPA• ARDA• Dept of Homeland Security• NZ Foundation for Research, Science &
Technology• NZ Trade and Enterprise• Consortium members
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Where do you want to go today?
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Point of contact:
Tom FurnessProfessor & Director EmeritusHuman Interface Technology Lab.University of WashingtonBox 354142Seattle, WA 98195Voice : 206.685.8626Email: tfurness@u.washington.eduUS Web: www.hitl.washington.eduNZ Web: www.hitlabnz.org