Newcastle Quantified Self 2015

The Quantified
Self
Productivity is a measure of
your ability to act on real-time
information

Agenda
I. CHAT
II. The New World of Work
III. Productivity today
IV. Digital Workspaces
V. The Building Blocks
VI. The Value Proposition
VII. Market metaphores
VIII. The value architect™
IX. Conclusion and Perspectives
Intro Technology CasesDomains
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Focus Improve Knowledge Leverage Mesure
Organization Processes Explicit Transactions Efficiency
Networks Relationships Emerging Interactions Innovation
Mobility Context Embedded Proximity Relevancy
People Presence “Dasein” Little Data Pertinence
Intro Value CasesImpact

The author suggests that the "Quantified
Self" movement is about self knowledge.
What does he want to know about
himself?
Describe one of the applications
described in the article (audience, data
sources, interface, use scenarios,
observations).
The article points out the fallacy of
"magical thinking". What does this mean
and how does this this apply to the
Quantified Self?
The article concludes that the goal isn't to
do more work, but to do better work. What
does this mean to you? Richard J. Anderson
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http://intranet-
matters.de/resources/intranet-maturity-
models/
I. Inputs
II. States
III. Performance
IV. Self-knowledge
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•Your search history
•Your search trends
•Your contacts
•Your location
•Your interests and demographics
www.google.com/dashboard
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• Self –knowledge – what am I like?
• Cognitive, affective, executive self
• Physical, social and physiological
worlds
• Impact on how experience is encoded
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• The mechanical clock
• Harder, better, faster…
• Mechanized productivity
• Knowledge productivity
• Continuous Productivity
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• Mental, physical, emotional states
• Psychiatry – an indication of one
health
• Cognitive psychology – thinking
and feeling
• Buddhism – our ability to “color”
the mind
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I. The Quantified Self
II. The Qualified Self
III. Managerial Perspective
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•Data mediates the experience of
reality.
•Quantimetric self-tracking and
wearable computers
•Quantimetric self-sensing
•Gary Wolf - the Quantified Self
Early prototype of "Quantimetric Self-Sensing"
apparatus, 1996
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• Pythagoras of Samos - number is the key to reality
• Immanuel Kant - reality is comprehensible through
categories of significance (schemata)
• Michel Foucault: - technologies of the Self
• Martin Heidegger - care of the self before care of others
• Timothy Leary – «turn on, tune in, drop out”
• Steve Mann: - Souveillance vs. Surveillanc
QS as way of sharing meaning
rather than quantifying the individual?
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I. Health and Well-being
II. Personal and Group
Productivity
III. Education
IV. Social Interaction
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• Mobile devices and embedded
sensors can track heart rate, blood
sugar, caloric intake, sleep
quality…. .
• Capters can beam data to cloud
databases, which send advice to
consumers
• There is a real need in health-
care to cut down the number of
unnecessary medical visits
• Google has funded 23andMe
Inc., Fitbit has drawn $43 million
from investment firms
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• What if the devices “completely go away
to be absorbed into the fabric of our lives?”
• Smart pills are an example of ambient
technologies that integrate into our
environments
• These Invisibles will create a world in
which we don’t see technology or sensors
• Can technology become human –
reacting to what makes each one of us
unique?
http://youtu.be/-hhOtjdkU34
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• People have been keeping checklists
and to do’s for decades
• Ask the right question and then find
the right mix between curiosity and
measurable data
• RescueTime led writer Gina Trapani
to switch to a standing desk and
WordPress creator Matt Mullenweg do
impose new email rules.
•Mint for tracking where every Euro
and cent goes.
•MoodPanda for noting on a simple 1-
10 scale how you’re feeling
•PlaceMe, for automated location
tracking system
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• Acts as a health and fitness tracker,
runs apps and communicates with the
iPhone.
• Logs biometric information using 10
different sensors
• Supports Siri - Apple's voice-controlled
"personal assistant“
• «Our most personal product » - yet
only one technology
• Apple Pay – a portable cash registerhttp://youtu.be/rwv-3wZocK4
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• Track what you read – when, what, where
you stop, what you highlight, what you
annotate
• Track what you write - how many words,
how many pages, what and when you
write….
• Track how you learn - who you listen to ,
what you say, how you search….
• Technology can enable real-time feedback
•Santa Monica College’s Glass Classroom,
Stanford’s Multimodal Learning Analytics
• Do something with what you discover
http://www.edudemic.com/learning-analytics-in-
education/
http://glassclassroom.blogspot.fr/2012/12/the-glass-
classroom-big-data.html
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• A language-learning and crowdsourced
text translation platform
• Tracks progress on a dozen languages
• Proposes a gamified skill tree that
displays each user’s progress
• Users gain "experience points" that they
can compare
•The system measures which questions the
users struggle with and what sorts of
mistakes they make
• Data-driven approach - 34 hours equals a
college semester of study
•Crowd sourced business model (CNN,
Buzz Feed)
http://youtu.be/WyzJ2Qq9Abs
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• Using data for personal meaning
challenge our ideas about human
connection
• Social networks like Facebook and
Twitter transform our social
interactions into quantifiable data
streams
• Social Graph - interactions
between people in a social network
• Is it possible to track emotions,
passions and memories?
• Could QS help us live together in a
sustainable way?
Will our communities be looking after us,
taking care, encouraging us, as well as discipline us?
Joerg Blumtritt
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• A cooperative project between the Apenheul
Foundation and TNO.
• Create a richer “visitor” experience in this
zone that hosts half of the world’s mountain
gorillas
• Sensors (electronic eyes, ears and nose)
are used for non-intrusive research and
education
• Mapping of the hierarchical relationships
within the community.
• Capture the gorilla’s activity or sleep
patterns
• Why not let the Apes “twitter their status” ?
http://youtu.be/Omya8i4QTtQ
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I. Big Data, Little Data
II. Cloud Computing
III. Open Data
IV. Sensors and Capters
V. Visualisation
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• Examples
•Walmart : 1 million transactions/hr
•BBC: 7 PB video served/month
• Big Data definition: data sets on social
interactions that are too complex for
traditional DBMS (volume, velocity, variety)
• Little Data : data sets on individual rather
collective behavior
• Structured and unstructured data
Source: Mary Meeker, Internet Trends,
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• Computing as service rather than a
product
• Focuses on maximizing shared resources
• Public, private or hybrid
• Infrastructure as a service (IaaS)
• Platform as a service (PaaS)
• Software as a service (SaaS)
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• The idea that certain data should
be freely available to everyone to
use
• Facts cannot legally be
copyrighted, but aggregated data
can be privately owned.
• Journal publication is an implicit
release of the data to the
Commons
• Midata, the UK government’s
initiative to give consumers
access to data about them that is
held by brands
Anja Jentzsch
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•The Internet of things: Physical
objects linked by the Internet
that interact through web
services
•Usual gadgetry (e.g.;
smartphones, tablets) and now
everyday objects: cars, food,
clothing, appliances, materials,
parts, buildings, roads
•Embedded microprocessors in
5% human-constructed objects
(2012)1
1Source: Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012.
http://singularitysummit.com/schedule
Melanie Swan

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• Study of abstract data to
improve human cognition
• Lévi-Strauss – the world has
become so complex that we
must “simplify it” to understand
it
•Goal of data visualization is to
communicate information
clearly and efficiently
• Visualization is today a critical
component in scientific
research, data mining, finance,
and market studies
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• Tennis is stats heavy : serve
percentages, forehand winners, aces,
unforced errors
• Give the amateur some way of
assessing his or her game
• Hitting the sweet spot 100 % of the
time doesn’t mean you’ll win
• Data is often misleading, but winning
is often about fractions.
• It does have the potential to change
the way we think about coaching
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• Sleep is the third pillar of health (with
diet and exercise)
• Works on the basis of actigraphy, which
is the detection and analysis of muscular
movement
•Sleep data reveals how your sleep is
related to factors such as diet, stress,
and physical activity
• The physical and psychological
benefits have yet to be proven
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• Uses fashion and IT to create
responsive clothes offering therapeutic
value
•Scents as tools to improve mental and
physical wellbeing
• A localized ‘scent cloud’ is released to
fit specific moods
• Goal is unlock emotional memories and
to complement mood monitoring tools for
the ‘Quantified Self’
Dr Jenny Tillotson
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• 8.4% of Americans, or over 25 million
people, suffer from asthma.
• Third-leading cause of death in the US
with $50 billion associated annual
healthcare costs
• Helps researchers pinpoint
environmental triggers and monitor the
population of asthma suffers
• Attaches to an asthma inhaler and logs
the time and geographic location each
time its used
• Uncontrolled asthma declines by 50
percent
http://youtu.be/6CH1IxzmwUs
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Newcastle Quantified Self 2015

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