med 2.0 - harvard 2012 - ted vickey
DESCRIPTION
Med 2.0, mHealth, fitness tracking, mobile fitness appsTRANSCRIPT
Fitness,
There Is
An App
For That
Ted Vickey
Enabling Networked Knowledge
WHAT WHY HOW
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Enabling Networked Knowledge
I am by EDUCATION an Exercise Scientist,
I am by EXPERIENCE an Entrepreneur,
I am by PASSION a Connector.
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WHAT
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My PhD is researching exercise and
technology, because I want to find out if the
use of online social networking increases
exercise adherence and motivation so that
developers can create more persuasive
applications that allow a person to
become healthier and decrease healthcare
costs.
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WHY
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Around the world today…
Data from WHO, 2011
1 in 3 adults overweight
1 in 10 adults obese
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Japan, 3
Norway, 11Sweden, 12
Brazil, 17
England, 24
Australia, 27
Chile, 30
Mexico, 33
USA, 45
0
5
10
15
20
25
30
35
40
45
50
1985 1990 1995 2000 2005 2010
Pe
rce
nta
ge
of
ad
ult
ob
esi
ty (
>3
0%
BM
I)
“Globesity”
Data from WHO, 2011
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HOW
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1. Turn on mobile fitness app Workout
Time!
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2. Complete physical activity
Walking
Running
Biking
Hiking
Swimming
Lifting
Sleeping
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3. Save workout
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We can analyze…
User ID Location # Followers # Followings # Lists Influence score Klout Type
• Fitness App • Exercise Type • Exercise Time • Exercise Trends • Twitter Social Network • Message • Twitter activity
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The process…
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#Endomondo users by Language
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(March 21 – October 21, 2011)
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> God: 12
Heaven: 5
Devil: 2
Hell: 18
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$hit: 46
Crap: 22
Damn: 40
F%#&: 51
Bitch: 1
Ass: 34
Fat Ass: 1
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1739
391
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Location based Tweets (29% of all Tweets)
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Geo location of #endomondo users
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Was out cycling 5.03 miles
with #Endomondo. See it
here: http://t.co/dr24ar
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#Endomondo Celebrates 5 Million
#Downloads Of Fitness App With
$2.3M In Seed Funding
http://t.co/Z3a2MYwV
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Top Ten Tweeters using #endomondo
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Survey Question:
What percent of the time when
you exercise do you use a
mobile fitness app?
69% of all users more than
80% of the time
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Time Period Analysis
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Future research
Continue to analyze data
Cross application usage patterns
Adoption and maintenance patterns
Cross analysis with Survey Data
Social Network Analysis
Collaborate with other researchers
Survey users
Build economic model of research
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Ted Vickey National University of Ireland - Galway
@tedvickey
www.linkedin.com/in/tedvickey
www.socialfitphd.com www.slideshare.net/tedvickey
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Business Model for Connected Health
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• Why important?
• Epidemiology
• Public Policy
• What is it?
• Global crisis
• Economic impact
• Social Network Analysis
• Connected Health
• Mobile Fitness Apps
• Persuasive Technologies
• Challenges
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Naaman et al 2010
Pear Analytics 2009