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PERSONAL DATA BEYOND FACEBOOK AND INSTAGRAM
Cathal Gurrin (@cathal) [email protected]
Dublin City University & Insight Centre for Data Analytics
09th October 2015
Dr Cathal Gurrin
Faculty: DCU & UiTScientist: Insight CentreLifelogger: It is what I do…
Longest visual lifelog ever gathered.70+ academic publications and onebook in the area.
Curiosity-driven scientist.
Advisory Boards, etc…
Interest in personal data, without an agenda….
INSIGHT CENTRE FOR DATA ANALYTICS
20/10/14 Slide 5
Healthier, safer and more productive world using data analytics. In this talk, I focus on Personal Data Analytics.
Agenda
5mDATA IN MARKETING
10mPERSONAL DATA
15mPERSONAL DATA TOMORROW
10mPRIVACY & DATA GOVERNANCE
The channels that we use today - Modern user attention data
Data in Marketing (2015)
Beyond Marketing - The data landscape today - Personal Sensor Data
Personal Data (2015)
Trends in personal data - The data controller - Next generation applications - Visual attention data
Personal Data (2020+)
The current situation for personal data - What is Privacy? - Likely data governance requirements
Privacy & Data Governance
Exploring the usual channels to try to connect with the customer. Hoping the customer will interact with us. Limited scope.
Social Media Marketing
Understanding the levels of engagement with the customer via Facebook/Instagram likes, Twitter stars and retweets, competitions, Google Analytics. etc…
Measuring EngagementFinding the right marketing mix to communicate with your customer. Integration of old-media with new-media and some related measures
of engagement.
Physical-Digital Advertising
Websites, Microsites, Blogs, etc… Informational sources that you
hope a user will engage with. Not a standalone activity.
Strategic Website Dev.
In an attempt to be visible to the customer, engage an SEO
organisation to do what you could easily do yourself.
Search Engine Optimisation
A digital marketing strategy is has many elements from
creating content, communicating a message to measuring engagement.
Digital Marketing
Digital Marketing today is dominated by a set of online WWW services that gather data on behalf of customers and in an unspoken agreement provide services in exchange for the user’s attention data.
We know the main services involved here, Facebook, Instagram, etc…
The value of personal data is beginning to be understood by the users and the rise of ad blockers and tracking blockers is a growing trend.
Today
Google Adwords (and all similar) works because both Google and the organisation both have a stake in
reaching the correct customer and delivering a targeted message.
But I am not going to talk about that…
There is a key problem with this model… there unspoken agreement is now subject to critical analysis.
People know how much their data (?) is worth and they are concerned who can access it.
My Facebook data is worth $382
Federico Zannier
70 websites, 500 screenshots, 500 webcam images; a recording of all of his mouse cursor movements, GPS
location and an application log... $2,700.
Desktop Computing1980s. Apple, IBM, Microsoft, Dell, etc…
Portable Computing1990s. Apple, Microsoft, Dell
Mobile Computing2000s. Apple, Samsung, Google
Wearable Computing2010s. Apple, Samsung, Google,…
Who knows?2030s. Apple, Alphabet, ???
Implanted Computing2020s. Apple, Google, ???
Who knows?
But it certainly will be very exciting
06Implanted computing is the next logical step … intimate integration into body function.
05Wearable computing is the big growth area now, providing information about us, to us.
04Mobile computing saw the introduction of user sensors and tracking in the real-world.
03Portable computing allowed us to access/create from anywhere with WIFI
0201Desktop computing introduced the world to the idea of content creation
01 02 03
04 05 06
The iPhone 5 is 60,000 times more powerful than the computer that guided the Apollo 11 astronauts to the moon.
Increasingly Powerful
Data
01 06
02 05
03 04
There are many different types of user attention data that can be
gathered now…
User Attention Data
01. Search Engine Data 02. Communication Data 03. New sources of App-data
04. User Feedback 05. Purchasing Behaviour 06. Web Analytics
What we openly share, such as our social
media postings and profiles that are for
public consumption.
VolunteeredThe actions of
individuals from devices such as
smartphones and accesses. Individual may not consider the
implications.
ObservedThe result of data
analytics over these two sources of data..
what we can infer given sufficient data.
Inferred
The Most Valuable Data Source
Location Activity
Movement Communications
Photos Voice
Who else can see?
Decide what you want to know.01
Activity, fitness, heart rate, blood sugar, productivity,
etc…
Wear a device to get data.02
Find the appropriate device (e.g. fitbit, smartphone,
etc…)
Extract value from the data.03
Mine knowledge and understanding… sticky!
BioHack04
Make changes in your life and self-improve
Quantified Self
The Key Driver…
Agenda15mPERSONAL DATA
TOMORROW Trends in personal data - The data controller - Next generation applications - Visual attention data
Personal Data (2020+)
The unrelated archives become one
lifelong archive, owned by the individual and
maintained by the individual.
According to the world economic forum, increasing the control that individuals have over the manner in which their
personal data is collected, managed and shared will be key to spurring the development of new services and applications.
In the era of lifelogging, you will be able to summon up any memory or life experience…
It will change the way we work and learn, improve our health, change relationships…
It will provide an unprecedented level of detail about the activities of the individual
Using mobile/wearable devices and information loggers to automatically record everything you see, hear, learn and experience. Creates a complete and accurate record of an individual - a Lifelog, which is
owned and controlled by the individual.
Challenge is to extract value from this new data.
My Lifelog in Numbers
70+ Papers and 12 first generation prototypes
10 Years of location log, with
millions of GPS points
80 Million: heartbeats,
with GSR and activity
1 Year of computer interactions
(mouse, keyboard)
9 Years of lifelog,
since 2006
16.5 Million wearable camera images
Grows at about 1TB per year
Secure Personal Lifelog
Sense and analyse factors of interest through numbers to gain
knowledge
Using knowledge for self-improvement
through experimentation Digitise as much as you can of
life experience… for many reasons, mostly unknown…
LifeloggingQuantifiedSelf
Biohacking
Next Generation of Data
Quantified Self
Enhanced Knowledge
Power to Change
Performance Enhancement
Data for Empowerment
New Insights
Population-wide studies
Healthcare Enhancement
Enhancing Human Memory
Upgraded Recall
Assistive Technologies
Enhanced Memory
New Interactions
Rich Sharing
Data Partners/Carers
Social Enhancement
Why? To provide knowledge to empower and to maintain control of your data…
Quantified-Self Memory
RECALL/RETRIEVAL
REFLECTION REMINISCENCE
Memory Enhancement
Quantified-Self Analytics with Limitless Opportunities.
REFLECTION
A Search Engine for Life Experience. Never Forget.
RECALL/RETRIEVAL
Reliving Past Memories for Personal Uses or Sharing.
REMINISCENCE
Aiden Doherty, DCU, office setting, conversation, indoor,
discussing CHI paper.
“On Sept 23rd, I was in DCU discussing the CHI paper with Aiden at his desk”
The challenge is to automatically extract knowledgefrom the lifelog data to supportrecall/retrieval, reminiscence
and reflection.
What about my experiences?
Curiosity-driven science (Search Engine for Myself)
Many positive experiences, such as….
4 Billion miles… “Consider again that dot, that’s here, that’s home, that’s us…”
This is already happening for our image and video
data… also for our emails, browsing data,
activities, etc…
Combine this with the Narrative Clip Camera
and you have new sources of attention
data.
However, there is a big overhead in generating this data. It is not an
easy problem to solve.
You could spend weeks looking at data from individuals, but this is not
feasible. You need search tools, which convert image/video data
into actionable information.
Searching is based on data analytics and machine/deep
learning to ‘understand’ the sensor data.
SegmentationFind the unit of retrieval for many use-cases… there is no one correct unit
EnrichmentAutomatically turn raw
sensor data into meaningful information
Search EngineTo index the data
InterfacesSupporting Applications
Agenda10mPRIVACY & DATA
GOVERNANCE The current situation for personal data - What is Privacy? - Likely data governance requirements
Privacy & Data Governance
8 Principles of Data Protection
01Fair ObtainingPersonal Data must be obtained and processed fairly.
02Purpose SpecificationFor one or more specified, explicit and legitimate purposes.
03Purpose LimitationIt may not be processed for other purposes.
04SecurityMust be stored safely & securely with appropriate controls.
05AccuracyData must be accurate, complete and up to date.
06AdequacyData must be adequate for the purpose, relevant, not excessive.
07RetentionNot to be kept longer than necessary for purposes.
08AccessData Subjects have right of access.
Everyone has the right to the protection of personal data concerning him or her.
Such data must be processed fairly for specified purposes and on the basis of the consent of the person concerned or some other legitimate basis laid down by law. Everyone has the right of access to data which has been collected concerning him or her, and the right to have it rectified.
Compliance with these rules shall be subject to control by an independent authority.”
Article 8, EU Charter of Fundamental Rights
EU View
Freedom of Information Requests .
Data Access
70 times more private cameras than government.
70 x Private
Security cameras are shown to reduce crime
Crime Down
Security cameras in the UK, or one per 15 people.
Five Million
Consider
The unrelated archives become one lifelong archive, owned, maintained & monetised by, or on
the behalf of, the individual.
Lifelog