The document summarizes a presentation on self-tracking and the quantified self movement. It discusses how lifelogging can capture all aspects of life through various sensors and data sources. While this could help people live healthier lives through data insights, it also raises privacy, security and governance issues regarding who will have access to this sensitive personal data now and in the future. The presentation addresses these challenges and how regulations like GDPR aim to protect privacy, but that individuals also need to be proactive in understanding and controlling their own data.

1. C. Gurrin, F. Hopfgartner & J. Walsh (22 June 2016)
The Quantified Self
Self Tracking and the Future of Health Apps
http://bit.ly/1sNpvaC
CathalGurrin (Dublin CityUniversity) - @cathal
Frank Hopfgartner (UniversityofGlasgow) - @okapiBM25
John Walsh (Smart Insights Lab) - @johnmwalsh_com

2. C. Gurrin, F. Hopfgartner & J. Walsh (22 June 2016)
Agenda
• Setting the scene (30 minutes)
• Passive Self Tracking, a Look Forward- Cathal Gurrin
• Digital Health 2020 – Frank Hopfgartner
• Security, Privacy & Data Governance – John Walsh
• Panel Debate– The Potentialof Self Tracking (30 minutes)

3. C. Gurrin, F. Hopfgartner & J. Walsh (22 June 2016)
Passive Self Tracking, a look
forward
Dr Cathal Gurrin (@cathal)
Dublin City University, Ireland

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Dr Cathal Gurrin (@cathal)
Senior Lecturer at Dublin City University
Principal Investigator at the Insight Centre for Data Analytics
Lifelogger – Researcher - Educator

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Now, we can capture our whole lives in data

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Quantified-Self tracking… numbers & data

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Taking it to the next step… lifelogging

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All of life experience captured and stored…

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All of life experience captured and stored…

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All of life experience captured and stored…

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All of life experience captured and stored…

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Here is my Lifelog….

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0
500
1000
1500
2000
2500
3000
3500
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
External Sources
Information
Activities
Biometrics
Digital Sensors (Video)
Digital Sensors (Audio)
Digital Sensors (Image)
Growing Exponentially

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Our data-rich and data-driven futureis an
inevitability… we will live longer, healthier and more
enriched lives becausewe havethe personal data
about ourselves

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Lifelogging will create a whole new set of opportunities &
challenges for industry and society… but
This is private data
Issues around privacy expectations are not understood
Data security is vital to get right
Who can access the data (now and post-life)?

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Digital Health 2020
Dr Frank Hopfgartner (@okapiBM25)
University of Glasgow, Scotland, UK

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A few words about me
Research on Information Access
Systems, Quantified Self, Lifelogging
Lecturer (Assistant Professor) in
Information Studies (Glasgow)
PhD in Information Retrieval
(University of Glasgow)
Past: Various positions in Berlin
(TUB), Dublin (DCU), Berkeley
(ICSI), and London (QMUL)

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What is The Quantified Self?
The Quantified Self is about incorporating self-tracking
technologies to monitor our activities.

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What’s in it for you?
It’s all about understanding yourself and your lifestylevia stats
and numbers.

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What’s in it for others?
It’s all about understanding the customer and their lifestylevia
stats and numbers.
Health Insurancecompanies areinterested
NHS are interested and providing devices

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Why does it work?
Data supports us to reflect on our activities and behaviors.

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Why is it getting popular?
Wearables, cheap sensors and mobile applications are getting
affordableand easy to use.

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Recording my activities
Image: mobarger@flickr(Creative Commons)

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Recording how I feel
http://measuredme.com/

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Recording what I eat
Aizawa, Kiyoharu, Maruyama, Yutu, Li, He, and Morikawa, Chamin. “Food Balance Estimation by Using Personal Dietrary Tendencies in a Multimedia Food Log." IEEE
Transactions on Multimedia, 15(8):2176-2185, 2013.
Semantic Gap
http://foodlog.jp/
http://mealsnap.com/

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Join the QS Movement

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Security, Privacy & Data Governance
John Walsh (@johnmwalsh_com)
Smart Insights Lab, Belgium

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So, Welcome to a brand new world
Surgery
Remote surgery
Emergency care
Ambulances equipped with IoT devices for quicker diagnosis
Firefighting
Quicker and informative response to fires based on live data feeds
Law enforcement
Create awareness and monitor abuse of power
Retailing
Target shoppers with specific services & promotions
Entertainment
Tailored services to customers (Disney MagicBand)
Elections
Use of Google Glass
- Implantables
- Ingestables
- Biohacking
Next generation:

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My Data
Travel
Social
Health
Finance
News
Opinion
You are more than the sum of your Data
Entertainment
Business
Hobbies

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Quantified Self data is revealing
Traditional personal information Quantified Self Data
Who?
Name
Address
Birth Date Gender
What?
When?
Where?
Why?
How much?
Feeling?
GPS
BPM
Sleep pattern
Mood
Exercise
Contacts in/out
Experiences
Weight
Sugar levels
Sex stats
Place of Birth

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The Risks
• Unaware of what information you are producing & is being consumed
• Unaware of the effects of the « smart data » connect
• Identity Theft
• Profiling
• Locating a User and cyber stalking
• Responsibility
• Corporate use and abuse of data
• Undervalueing our own Data
• Become immune
• …

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Key areas of Concern
The
Quantified
Self
Governance
PrivacySecurity
Rules, Processes & Behaviours

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What to do?
RejectDenial
Go with
the flow
Educate
Educate
Legislate
Regulate

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General Data Protection Regulation (GDPR)
• Replacing the outdated 95/46/EC
• Formally approved in May 2016 and directly applicable
• Coming into force May 2018

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GDPR – Key elements
• Accountability
• Privacy by Design
• Consent
• Expanded territorial reach
• Sanctions
• Data Breech Notification
• Data Protection Officers
• Data Processors
• One Stop Shop
• Enhanced Data Subject Rights
The
Quantified
Self
Gover-
nance
PrivacySecurity

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Where are we willing to go …
• Privacy vs. Convenience
Ø So what is our Privacy worth to us?
Customer centricity
Loss of Privacy
Inspired by Chris Dancy

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Points of attention
• Can we learn from our mistakes?
• Focus on « End of the Food Chain » analytics without installing
a « privacy and security » by design in place early on
• Legal Compliance is the Floor, not the Ceiling. How can we
think ethically?
• Build Trust: Data + Transparency = Trust

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Looking onwards and Upwards
• TakeCharge
• Time to reflect and renegociatethe bargins with OUR data
• Be proactive with new technology
• Think of our future infrastructures & the values it should
embody
• Balance the value of our data to society vs personal nature
• Privacy comprimise vs. Convenience
• Awareness of extending surveillanceand its impact on society
• Stay Alert

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Thank You
CathalGurrin (Dublin CityUniversity) - @cathal
Frank Hopfgartner (UniversityofGlasgow) - @okapiBM25
John Walsh (Smart Insights Lab) - @johnmwalsh_com