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Whats behind the
corner for user
experience?
UX Congress October 2015
Hello!
I am Miika Puputti,
Creative Director at Razorfish
@miikap
3
What does the digital
canvas of tomorrow
look like?
4
The future UX is
going to be even more
fragmented.
5
Screen resolution explosion
6
Micro screens
7
Mega-displays
8
Interactive store experiences
9
Connected products
10
Gestures
11
Voice
12
Fabric
13
Virtual reality
14
Virtual reality blend in with reality
15
These all have an impact how we
design experiences for these
touch points.
16
The user interface
is everywhere and
no-where."
17
So what does this
mean for Designers
and Brands?
18
1.
Think Beyond The
Screen
19
Digital experiences
connect more and
more to the physical
world.
20
These interactions
should be clear and
obvious with proper
feedback.
21
And technology is the
enabler fading to the
background.
22
23
24
25
26
+
27
28
29
Design with
screens in mind,
not for them.
30
Great brand
experiences liberate
us from screens.
31
Natural interfaces
32
33
A few things to
improve
34
@internetofshit
35
2.
Leverage The Power
Of Computers
36
Lets take look to the
future
37
A.I.
38
Mega-displays
39
40
A.I.s are already learning to be
creative.
41
42
43
44
45
46
Liquid design
+
A.I.
47
Designers + Developers + A.I.=
Brand singularity
48
Designers + Developers + A.I.=
Brand singularity
49
Designers + Developers + A.I.=
Brand singularity
50
Designers + Developers + A.I.=
Brand singularity
51
Designers + Developers + A.I.=
Brand singularity
52
A.I. is already being
used to create new
experiences.
53
How could your next
project be augmented
with A.I.?
54
3.
Create Relevance
With Context
55
The devices we carry
will have more
sensors in the future
56
57
58
Optimizing the
experience according
to context will be the
norm.
59
Sensor dataUser data
Contextual personal experiences
60
Progressively enhance
the digital experience
with context
61
Context doesnt
always indicate intent.
62
And dont be creepy
63
Source: http://www.richrelevance.com/blog/2015/05/creepy-cool/
64
The Cool vs. Creepy Summary
76% Cool
Mobile product
scan with
recommendations
44% Cool
In-Store Location
Details
55% Creepy
Digital
recommendations
in dressing rooms
74% Creepy
Sales person greets
you by name based on
mobile trigger
75% Creepy
Face recognition
identifies your spending
habits to salesperson
Source: http://www.richrelevance.com/blog/2015/05/creepy-cool/
65
1.
Think Beyond The Screen
2.
Leverage The Power Of Computers
3.
Create Relevance With Context
66
Thank you!
Twitter: @miikap

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What's Behind The Corner For User Experience? // UX-congress 2015

Editor's Notes

  1. More scenarios, not just wireframes and layouts. We will
  2. Screens
  3. Interactive retail experiences
  4. Connected products (Razorshop)
  5. Siri, Cortana (MS) Google Now
  6. Project Jacquard tests out the invisible
  7. Mixing the real world with virtual reality, Google Project Tango
  8. Cognitoys https://cognitoys.com/
  9. Levis is teaming up with google to create connected clothing, still the concept is in its infancy but a great idea
  10. Polo Sport Tech Shirt
  11. RL Polotech
  12. Theres many other interfaces than screens.
  13. All of the examples here try to augment the screen experience or replace it where it makes sense. Connecting with the internet without user input.
  14. All of the examples here try to augment the screen experience or replace it where it makes sense. Connecting with the internet without user input.
  15. @internetofshit
  16. Lets throw artificial intelligence to the mix
  17. Not that A.I.
  18. The cognitive computing platform from IBM: Watson is built to mirror the same learning process that we havethrough the power of cognition. What drives this process is a common cognitive framework that humans use to inform their decisions: Observe, Interpret, Evaluate, and Decide.
  19. as designers in the future we can teach artificial intelligence to apply and interpret this language to different situations. Just a new level of programming and expression.
  20. IBMs Watsons Cook Book
  21. Googles Neural Networks create new images
  22. Researchers from the University of Tubingen created an algorithm that can mimic the style of different artists styles 'Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities.
  23. The power of quantum computing could dramatically change the ways we can use the cognitive processing, it will be the norm one day. Quantum computing is based on quantum bits or qubits. Unlike traditional computers, in which bits must have a value of either zero or one, a qubit can represent a zero, a one, or both values simultaneously. Representing information in qubits allows the information to be processed in ways that have no equivalent in classical computing, taking advantage of phenomena such as quantum tunneling and quantum entanglement. As such, quantum computers may theoretically be able to solve certain problems in a few days that would take millions of years on a classical computer.
  24. Brands need to become liquid, and we need to create design languages that adapt to almost any situation
  25. Combine responsive design with AI, what could happen?
  26. as designers in the future we can teach artificial intelligence to apply and interpret this language to different situations. Just a new level of programming and expression.
  27. The rule makers, Human behavior consultants, as designers in the future we can teach artificial intelligence to apply and interpret this language to different situations. Just a new level of programming and expression.
  28. The humans that teach the A.I.
  29. A.I. takes all the rules & guides and applies and adapts it to different scenarios, screen size, context.
  30. Next level of Responsive design Brands and the messages they convey can become living brands with the support of A.I.
  31. Devices will have more and more sensor technology
  32. Combine different data and sensor info to create meaningful contextual experiences
  33. Combine different data and sensor info to create meaningful contextual experiences
  34. Data sources: Analytics, personal preferences and user history Sensor data: Location, movement, orientation, date, time, ambient
  35. Data sources: Analytics, personal preferences and user history Sensor data: Location, movement, orientation, date, time, ambient