Artificial Intelligence is perceived by some as either marketing speak or some hyped up technology. In this presentation, I demystify the hype of Artificial Intelligence and review how we can design for it as User Experience professionals. This presentation was presented on September 12, 2017, for UXPA Cleveland

1. Artificial
Intelligence
Beyond the Hype
UX and AI
Presented By
Tasha Markovich
Follow Me:
@TashaMarkovich
@UXAKRON
1

2. Numbers
2

3. Will you help us
streamline the planning
of our crops?
Farmer
3

4. http://www.touregypt.net/featurestories/nakht2.htm 4
User Journey

5. http://www.touregypt.net/featurestories/nakht2.htm http://www.storyofmathematics.com/prehistoric.html
http://www.bradshawfoundation.com/
5

6. 6

7. Over
4000 BC
(6000 years ago)
To
1400’s
Mathematical/ Physics Era
Grouping Numbers/ Equations
7

8. http://whatis.techtarget.com/reference/History-of-the-punch-card
http://www.pvcloom.com/
Mechanical Era1400’s
to 1800’s
Gears/Pulleys
8

9. https://www.usbtypewriter.com
http://whatis.techtarget.com/reference/History-of-the-punch-card
http://www.pvcloom.com/
Binary Era1800’s-
1880’s
Binary/Programming
9

10. http://robindegroot.ca/
http://www.automostory.com
Electrical/ Wireless Era1880’s-1930
Metals/Magnets
10

11. https://learn.sparkfun.com/
https://www.papermasters.com/history-cell-phones.html
Electronic/ Networking1930’s-now
Transistor/Ascii
11

12. Movement
Hearing
Smell
Touch
Taste
Sight
Memory
Reasoning
Self Awareness
http://pravega.org/pravega2014/connect_the_dots
Artificial Intelligence Era1940’s-Now
Algorithms
12

13. Beer Bottle
Case Study
What is
User
Experience
13
What is
Artificial
Intelligence
AI in Other
Industries

14. What Is
User Experience
14

15. User
Research
Interviews
Ethnographic Studies
Diary Studies
Competitive analysis
Content based research
15

16. User
Research
Analyze
User
Research
Persona
Quantitative Personas
Empathy Map
Customer Journey
Mental Modal map
As-Is/To-Be Scenario Map
Pain Points
Story Board
Mood Board
Story Board
Design Principles
Combine/ Reverse/
Substitute/ Modify
16

17. Prototype
User
Research
Analyze
User
Research
Interaction Design
Graphic Design
Industrial Design
Service Design
Instructional Design
17
User Experience Design

18. Prototype
User
Research
Product
Research
Analyze
User
Research
Open & Closed
Card Sorts
Usability Studies
Click Tests
Tree Jack Tests
18

19. Prototype
User
Research
Analyze
Product
Research
Product
Research
Analyze
User
Research
Heat Maps
Mood Maps
Customer Journey
Maps
Combine/ Reverse/
Substitute/ Modify
Eye tacking Maps
Updated Empathy Map
19

20. Prototype
User
Research
Analyze
Product
Research
Product
Research
Analyze
User
Research
User
Experience
20

21. What is
Artificial
Intelligence
21

22. Say/See/Hear/Feel/Smell/Think
Something
22

23. Say/See/Hear/Feel/Smell/Think
Something
23
Response
Respond

24. Say/See/Hear/Feel/Smell/Think
Something
Memories
24
Memories Thinking
Response
Respond

25. Algorithms
Say/See/Hear/Feel/Smell/Think
Something
Response
Respond
System
Knowledge
Base
25

26. What color is Sally Seashell’s home In Ohio?
Knowledge
Base
26

27. Knowledge
Base
What color is Sally Seashell’s home In Ohio?
27

28. Sally Seashell
lives at 12946
Lake Avenue.
Knowledge
Base
What color is Sally Seashell’s home In Ohio?
28

29. Sally Seashell
lives at 12946
Lake Avenue.
Knowledge
Base
There are two Sally
Seashells in the US.
One lives in
Delaware the other
in Ohio.
What color is Sally Seashell’s home In Ohio?
29

30. Sally Seashell
lives at 12946
Lake Avenue.
Sally Seashell
Works at Barrio in
Lakewood, Ohio. Knowledge
Base
There are two Sally
Seashells in the US.
One lives in
Delaware the other
in Ohio.
What color is Sally Seashell’s home In Ohio?
30

31. Sally Seashell
lives at 12946
Lake Avenue.
12946 Lake Avenue is in
Lakewood, Ohio,
Knowledge
Base
Sally Seashell
Works at Barrio in
Lakewood, Ohio.
There are two Sally
Seashells in the US.
One lives in
Delaware the other
in Ohio.
What color is Sally Seashell’s home In Ohio?
31

32. Sally Seashell
lives at 12946
Lake Avenue.
12946 Lake Avenue is in
Lakewood, Ohio,
Knowledge
Base
Sally Seashell
Works at Barrio in
Lakewood, Ohio.
There are two Sally
Seashells in the US.
One lives in
Delaware the other
in Ohio.
12946 Lake Avenue is in
Seattle, Washington
What color is Sally Seashell’s home In Ohio?
32

33. Algorithms
What color is Sally Seashell’s home In Ohio?
33

34. Sally Seashell works at Barrio in Lakewood, Ohio
What color is Sally Seashell’s home In Ohio?
Algorithms
34

35. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
What color is Sally Seashell’s home In Ohio?
35

36. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
What color is Sally Seashell’s home In Ohio?
36
There are two Sally
Seashells in the US.
One In Ohio.
One lives in Delaware.

37. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
What color is Sally Seashell’s home In Ohio?
90%
37
There are two Sally
Seashells in the US.
One In Ohio.
One lives in Delaware.

38. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
90%
12946 Lake
Avenue is in
Seattle,
Washington
12946 Lake
Avenue is in
Lakewood, Ohio,
What color is Sally Seashell’s home In Ohio?
38
There are two Sally
Seashells in the US.
One In Ohio.
One lives in Delaware.

39. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
90%
12946 Lake
Avenue is in
Seattle,
Washington
0%
100%
12946 Lake
Avenue is in
Lakewood, Ohio,
What color is Sally Seashell’s home In Ohio?
39
There are two Sally
Seashells in the US.
One In Ohio.
One lives in Delaware.

40. Sally Seashell works at Barrio in Lakewood, Ohio
Sally Seashell lives at 12946 Lake Avenue.
Algorithms
75%
90%
12946 Lake
Avenue is in
Seattle,
Washington
0%
100%
12946 Lake
Avenue is in
Lakewood, Ohio,
Brick Red
95% Confidence
What color is Sally Seashell’s home In Ohio?
40
There are two Sally
Seashells in the US.
One In Ohio.
One lives in Delaware.

41. Knowledge
Base
41
Training Our
Thoughts &
Algorithms
Data Modeling - Ontologies

42. UX and AI
42

43. Inspection
Workers
User
Research
Quality
Workers
Senior
Leadership
43

44. Measurable
Outcomes
Define the quality of a beer
bottle.
Determine the current Quality
process for making beer
bottles.
Identify where AI can be used
in the Quality Processes.
Learn what parameters we
must keep in mind when
designing.
44

45. Thinking
Seeing
Doing
Managing People, Money, Product
Analyze
User
Research
Senior Leadership
I want to make
good quality
Glass.
I want a decent
profit margin
on my product.
I want customers to be pleased with
our product.
Cost of the raw
Materials.
Overhead of
Employees.
Overhead of
manufacturing
Equipment.
Lost Costs of
defective
product.
Feeling Empowered
Pain Point
Pay for at system that will have a
minimum impact on their current
Manufacturing facility that is
under our budget of $1 million
Dollars.
45

46. Measurable
Outcomes
Learn what parameters we
must keep in mind when
designing.
46

47. Thinking
Clear &
colored glass
straight from
production.
Seeing
glass with &
without defects.
Rushed
Doing
Handling
glass
Feeling
Finding all the defect possibilities in a
short period of time so that they can get
home in time in the evening for their
kids events.
Inspection Worker
Analyze
User
Research
Pain Point
Can I inspect
all these
glasses during
my shift?
Hoping I don’t
miss any
defects when
inspecting this
glass.
Looking at
Glass
47

48. Guide to Container Defects
HORIZONTAL
TEAR
A rough
crack on
the glass
surface
oriented
horizontally.
CORKAGE
TEAR
A vertical
surface
crack
located in
the inside
of the finish.
SADDLE
FINISH
A gradual
slope or dip
in the finish
that has a
saddle-like
finish.
CRIZZLED
FINISH
A finish
with many
fine surface
fractures,
mainly
across
the top.
DIRTY OR
ROUGH FINISH
A finish which
has a scaly
appearance
and which
may even
have black
spots on it.
LINE OVER
A superfine
groove across
the sealing
surface that
can cause a
container to
leak after the
filling process.
NECK RING
SEAM
A protruding
seam of glass
running
vertically up to
the finish of
the container.
OFFSET
FINISH
A finish
formed out
of alignment,
either
vertically or
horizontally.
UNFILLED
FINISH
A finish
which is
incompletely
filled, in the
top, the
bead, or
the thread.
OVERPRESS/
WIRE EDGE
A finish which
has excessive
glass projecting
upward from th
inside edge of
the finish.
FLANGE
A small ring
of glass
which is
pressed out
between the
guide and
neck ring.
SPLIT FINISH
A finish which
has a crack
across the top
surface–extends
from the top of
the finish down
towards the
neck.
STONES
Small
pieces of
refractory
or unmelted
batch
materials.
KNOCKOUT
A small glass
protrusion
caused by a
small chip
in the mold
seam.
BULGED
FINISH
A finish
which is
bulged
out of
shape.
BENT OR
CROOKED
FINISH
A finish
which
has a bent
or crooked
appearance.
BLISTERS
Large
bubbles in
the glass.
BROKEN
FINISH
A finish
which
has cracks
or actual
pieces of
glass broken
out of it.
FINISH
TEAR
A finish
which has a
light surface
crack in the
threads or
in the
middle.
TEARS UNDER
FINISH
Surface cracks
which occur
on or near the
parting line
between the
neck and the
finish.
CHIPPED
FINISH
A finish
from which
a small
section is
broken on
the top or
side.
Finish Defects
BENT
NECK
A neck
where the
finish is
tilted to
one side.
CHOKED NECK
OR BORE
(NARROW
NECK)
An obstruction
in the bore
of the neck.
DANNY NECK
OR TEAR ON
THE NECK
A small surface
section of glass
torn from the
neck of the
bottle.
DIRTY
NECK
A neck
which has
a dirty
or scaly
appearance.
LONG NECK
A neck that
has been
stretched
longer than
specified.
PINCHED
NECK
A neck
which
has been
pushed or
pinched.
STUCK GLASS
PARTICLES
Small glass
particles
stuck to the
inside of the
container.
Most common
in wide mouth
ware.
Neck Defects
SHOULDER
TEAR
Surface cracks
on the shoulder
of the contain-
ers. They are
usually wavy in
appearance.
THIN
SHOULDERS
A shoulder
which has a
thin section.
SUNKEN
SHOULDERS
A shoulder
which is
not fully
blown up.
Shoulder Defects
Analyze
User
Research
Define the quality of
a Glass.
48

49. Thinking
Temperature
readings of
the furnace.
Seeing
Liner of
Furnace.
Stressed
Doing
Modifying
equipment.
Feeling
Quality Worker
Analyze
User
Research
Pain Point
What part of the manufacturing
process do I need to change to fix
this defect.
Verifying their
changes fixed
the defect.
Manufacturing
Line.
Keeping track of what problem fix’s what defect.
And determining what defects are caused by
the same issue
49

50. Determine the
current
Quality
process for
making quality
beer bottles.
50

51. Artificial
Intelligence
AlgorithmsSystem
Knowledge
Base
51

52. Knowledge
Base
Artificial
Intelligence
—Finish
—Neck
—Shoulder
—Sidewall & Body
—Base
—Other
—Mold inconsistency
—Residue on Furnace liner
—Furnace Temperature
—Misalignment of Equipment
—Motor Speeds
—Etc.
Images of possible
Defects
Problems
Mapping of what problems fix what defects
52

53. Algorithms
Artificial
Intelligence
Sees a defect and recognize
an issue then suggests a fix.
Record images of new
defects and how they fixed
the defect.
53

54. Artificial
Intelligence
AlgorithmsSystem
Knowledge
Base
Identify where AI can
be used in the Quality
Processes.
54

55. Define the quality of a beer
bottle.
Determine the current Quality
process for making quality
beer bottle.
Identify where AI can be used
in the Quality Processes.
55
Learn what parameters we
must keep in mind when
designing.
Measurable
Outcomes

56. Prototype
Design around the
current layout of
the manufacturing
Paint.
56

57. Prototype
Vision Control Systems
57
Prototype

58. Dashboards
58
Prototype

59. PrototypePrototype
59

60. PrototypePrototype
Boston Dynamics
60

61. Artificial
Intelligence
and other
Industries
61

62. Race Car
Drivers
62
We need information fast.

63. Financial
63
We need and
extra set of
eyes on our
transactional
data.

64. Marketing
Marketing
64
Help us better meet our
target market.

65. Customer
Support
65
Help us meet our customers
needs and Cross selling.

66. Health Care
66
Find Cancer types
New Uses For Medication

67. Algorithms
Say/See/Hear/Feel/Smell/Think
Something
Response
Respond
System
Knowledge
Base
67

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