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A 'director's cut' of my Biological Imperative for Adaptive Content session from earlier this year. The thesis: semantic, structured content is more suited to our brains natural functioning and mechanisms than traditional, unstructured content. It’s counter-intuitive, but is it true? Our basic understanding of communicating content has changed. Under the pressures of multi-channel and multi-device content challenges, the old rules we learned about good content and processes are breaking down. How do we optimize for all this diversity? Contemporary research in cognitive science and neurobiology can offer us new ways of thinking about communication at a basic, human level. This session could be considered a study in empathy, looking at how we can break out of our current mindsets, deconstruct old habits, and see justification for new ones around user needs. It offers cognitive science and neurolobiology lessons relevant to today’s content landscape, and a common language to help you bridge the communication issues with your clients, colleagues, managers, and end users. This session will cover models and methodologies to better structure content, optimize editorial processes, and build effective, influential strategies couched in the most human of terms.
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This is your brain on content
@nozurbina#lavacon
urbinaconsulting.com/about-you
Cognitive Science lessons for content strategy
@nozurbina #LavaCon
This is your brain on content:
Cognitive Science lessons for content
strategy
Noz Urbina
Founder and Content Strategist
Urbina Consulting
urbinaconsulting.com/about-you
@nozurbinaMe (Noz Urbina)
Content strategist & modeller
Consultant/trainer
Author
Futurist
H2H (Human-Human/B2B/B2C)
urbinaconsulting.com/events
89 3929 31 x88
24g
UC.com 2015
thecontentstrategybook.com
The problem
4
@nozurbinaEmpathy
5
Go from reactive to proactive
@nozurbinaSources and reviewers
@nozurbina - 6
MIT & Stanford Lectures
Slides, models & drafts reviewed by Clinical Psychologist Alberto Soler & Kontchín Soler, PhD in Psychobiology
To influence behaviour…
…we must understand behaviour
Behaviour starts and ends in the mind
http://bit.ly/brainneb
We need to (constantly) redefine
@nozurbina - 8
http://bit.ly/1cqjUbv
Communication and the mind
http://bit.ly/brainneb
The topic
Intelligent Content supports our biological, mental processes better than traditional content
http://bit.ly/brainneb
The thesis
WE ARE SENSE MAKING MACHINESWe’ll make it up if we have to
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@nozurbinaBABY
12
Semantic models
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http://www.flickr.com/photos/denverjeffrey/
Semantic models are semi-conscious mental storage units.
Do you want to make me cry?
14
Prevent me from building my semantic models.
QUALITY CHECK
How good are our models?
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Our models and processing clearly aren’t perfect
Thinking Systems 2 and 1
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Brain economics and the cost/benefit of cognition
@nozurbinaThinking System 2
• Plays poker and chess (unless
you’re a master, and can use System 1)
• Contains our conscious
experience
• Analyses, reflects on and digests
content
• Taxed when learning new skills
• Delegates to System 1
whenever possible 18
S l o o o w
“Expensive”
Tiring
@nozurbinaThinking System 1
• “The zone”, “the gut”, “the heart”,
“lateral thinking” and inspiration
• Drives, plays violin (any embedded skill)
• Picks up on body language, style,
mood, metaphor, symbolism, etc. (using associative memory)
• Uses compression & semantic models
• Skims content (using keywords, colour,
shapes and other fast cues)
19
Fast!
“Cheap”
(Nearly)
Effortless
FEEL THE DIFFERENCE
Answer these questions (in your head)
20
FEEL THE DIFFERENCE
What’s your first name?
21
FEEL THE DIFFERENCE
What month were you born?
22
FEEL THE DIFFERENCE
Now, remember these two number sets:
5876 2117
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FEEL THE DIFFERENCE
Increment each digit of each set UP by one
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FEEL THE DIFFERENCE
Did you get this?
6987 3228
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(5876 2117)
WATCH THEM FIGHT
A different kind of illusion
26
@nozurbina3,141 Counties
All the
counties with
lowest
incidence of
kidney cancer
are:
27
1. Mostly rural
2. Sparsely populated
3. Traditionally Republican
4. Located in Midwest, South and West
@nozurbina3,141 Counties - Fact 2
All the
counties with
highest
incidence of
kidney cancer
are:
28
1. Mostly rural
2. Sparsely populated
3. Traditionally Republican
4. Located in Midwest, South and West
@nozurbina
WTF?29
@nozurbina1 = cancer
01010001100101001010101111010101
01010110000100001000111110111101
00100101010101110010100101010101
01010100001010101110010100101010
10101010100001000010001111101111
01001001010101011100101001010101
01010101000010100011001010010101
01111010101010101010101011100101
00101010101010101010101010111110
31
Even professional statisticians screw
this up! We want to.
Small samples are always more extreme
and less accurate
Bill Gates Foundation and US Government blew millions on this
28%
60%
71%
0%
42%
100%
57%
60%
@nozurbina
Funny is the brain’s reward for debugging
• We are rewarded for finding patterns
• We get stressed when patterns are not present
32
Matthew Hurley, Reginald Adams, Jr., Dan Dennett
@nozurbina
33
34
System 1 can:
Read and understand large-print and/or familiar words
Complete the phrase “bread and…”
Drive a car on an empty road
Get which country is referred to by: “Stars and stripes, Apple pie, and optimism”
Find the “submit” button on a form
System 2 can:
Try to reason out the meaning of new words (if System 1 doesn’t offer up a satisfying definition)
Drive in heavy traffic or adverse weather conditions
Search for an address on a row of houses
Compare two products to establish their overall value
@nozurbina
System 1 says these are the same. System 2 can realise they really aren’t.
@nozurbina
System 1 uses compression to take the fundamentals from the right and match it
to the model on the left.
@nozurbina
http://wtface.com/
WTFace.com
Compression creates errors. We see what is not really there (Look up pareidolia and apophenia)
COMPRESSION ERROR ILLUSIONS
Experience vs. Memory
38
@nozurbinaWho suffered more?
Time in minutes
Pain
0 10 20
2
4
6
8
10
Patient A
Time in minutesPain
0 10 20
2
4
6
8
10
Patient B
@nozurbinaWho suffered more?
Time in minutes
Pain
0 10 20
2
4
6
8
10
Patient A
Time in minutesPain
0 10 20
2
4
6
8
10
Patient B
Memory trumps experience
…what we get to keep from our experiences is a story.
What defines a story are changes, significant moments and endings.
Endings are very, very important.
The remembering self is a storyteller
41
THE EXPERIENCE TO IDENTITY PYRAMIDThe semantic ladder for anything with interactivity
43
44
I.D.(identity)
Model
Category
Pattern
Memory (story)
Experience
Easi
er
acc
ess
Com
pre
ssio
n
Rew
ard
s
Inert
ia
@nozurbina
Brain GPSQuanta Magazine
simonsfoundation.org/quanta/20141007-brains-positioning-system-linked-to-memory/
@nozurbina
Brain GPSQuanta Magazine
It’s the most efficient way to compress data”
Marianne Hafting Fyhn,
Neuroscientist, University of Oslo in Norway
simonsfoundation.org/quanta/20141007-brains-positioning-system-linked-to-memory/
Our brains reward the creation of new models
and IDs
But it’s always “cheaper” to relate new
ones to old ones
http://bit.ly/brainneb
48
http://en.wikipedia.org/wiki/File:Dopamineseratonin.png
Dopamine is the brain’s “reward” chemical.If activated, it will cause the hippocampus to create a more
potent “write” to long term memory.
I.D.
Models
Categories
Patterns
Memories
Experiences
Easi
er
acc
ess
Com
pre
ssio
n
Rew
ard
s
Inert
ia
49
http://en.wikipedia.org/wiki/File:Dopamineseratonin.png
Memories created in the presence of dopamine are recalled and pushed up the Experience-I.D. Pyramid more easily.
I.D.
Models
Categories
Patterns
Memories
Experiences
Easi
er
acc
ess
Com
pre
ssio
n
Rew
ard
s
Inert
ia
@nozurbina
50
Today’s web uses these same constructs. E.g. Hashtag searches on G+ pull associated concepts, just like in the mind’s associative, semantic model-based storage.
HOW WILL YOUR BRAND STAND UP TO COMPRESSION?
51
@nozurbina
52
http://3rdbillion.net/2014/01/apple-logo-2/
INTELLIGENT CONTENT
Intelligent content enables agility from experience to identity
53
@nozurbina
54
Intelligent Content The Mind
Free from format, i.e., takesmessages and meaning across devices, styles.
Compresses out details, retains only the key content memory.
Rich in metadata – uses tagging to make associations.
Associative by nature.
Uses structured content models. Builds models and uses them frequently and easily.
Machine-validation-ready and reusable to make diverse yet consistent stories.
“Likes” finding patterns and consistency using System 1. Gets tired out by needing to parse inconsistency, which needs System 2.
@nozurbina
55
Intelligent Content The Mind
Free from format, i.e., takesmessages and meaning across devices, styles.
Compresses out details, retains only the key content memory.
Rich in metadata – uses tagging to make associations.
Associative by nature.
Uses structured content models. Builds models and uses them frequently and easily.
Machine-validation-ready and reusable to make diverse yet consistent stories.
“Likes” finding patterns and consistency using System 1. Gets tired out by needing to parse inconsistency, which needs System 2.
@nozurbina
56
Intelligent Content The Mind
Free from format, i.e., takesmessages and meaning across devices, styles.
Compresses out details, retains only the key content memory.
Rich in metadata – uses tagging to make associations.
Associative by nature.
Uses structured content models. Builds models and uses them frequently and easily.
Machine-validation-ready and reusable to make diverse yet consistent stories.
“Likes” finding patterns and consistency using System 1. Gets tired out by needing to parse inconsistency, which needs System 2.
@nozurbina
57
Intelligent Content The Mind
Free from format, i.e., takesmessages and meaning across devices, styles.
Compresses out details, retains only the key content memory.
Rich in metadata – uses tagging to make associations.
Associative by nature.
Uses structured content models. Builds models and uses them frequently and easily.
Machine-validation-ready and reusable to make diverse yet consistent stories.
“Likes” finding patterns and consistency using System 1. Gets tired out by needing to parse inconsistency, which needs System 2.
Your creatorsand customerswill internalise
your models
Your creatorsand customerswill internalise
your models
@nozurbina
Simplified model…
60
of complex reality
@nozurbina
Intelligent content supports tailored delivery
Manage Serve &
Transform
Create components
Pro
file
A
Pro
file
B
Pro
file
C
Pro
file
D
Same content
Everyone
…with WPT/
processing
tools
…in CCMS
(Structure
-aware)
…in structured
Authoring
Tool(s)
???
Your System 1 does everything it can to restore the status quo.
SO NOW WHAT?
SOME PARTING THOUGHTS
@nozurbinaAttitude shift
Stop framing the user in the
window of the medium.
Assumptions and analytics
aren’t enough.
Find out who they really are.
@nozurbinaEmbrace structure
65
Check out bit.ly/artofgridfor great designer quotes about “ the grid system”
HOMEWORK
Specific lessons and terms to take home
66
(some of which are in
our book. Nudge
nudge, wink wink)
@nozurbinaEmbrace Intelligent Content
• Write for system 1 and system 2
• Explicitly define the semantic models implicit in your content
– Map out the different perspectives and contexts in which content will be used
• Give creators clear tools to create and visualisetheir work across contexts
• Store semantic content so machines validate it and can help you deliver tailored experiences
67
@nozurbinaEmbrace Intelligent Content
• Measure user memory of whole journeys
– UX is just a means to an end
– Digital alone CANNOT SHOW a customer’s full journey
• Set up your team properly
– “Chief content officer” and “chief experience officers” are becoming real things
– Get content creators, strategists, engineers (and the rest) who understand the value-add of each other’s work
• Start bashing your boss’s System 1 and 2
68