Quantified Self - Ted Vickey 2011
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The document discusses research into whether using online social networks can increase exercise adherence and motivation. The researcher, Ted Vickey, has a PhD in exercise science and is studying how social apps and mobile technology can help people become healthier and reduce healthcare costs. He is exploring topics like physical activity, obesity, social networks and how persuasive technologies can encourage behavior change through connections on platforms like Twitter.
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The document discusses using mobile fitness apps and social networking to increase exercise adherence and motivation. It notes that 1 in 3 adults are overweight worldwide and obesity rates have risen sharply. The author's PhD research analyzes if using online social networks with fitness apps can help people exercise more to be healthier and reduce healthcare costs. It provides examples of how fitness apps work and the types of data that can be collected from users, like location and social connections, to understand exercise trends and influence.
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The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
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- 2. 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 allows a person to become healthier and decrease healthcare costs.
- 5. WHO
- 7. I am by EDUCATION an Exercise Scientist, I am by EXPERIENCE an Entrepreneur, I am by PASSION a Connector.
- 8. Connected Health Health Obesity Physical Activity Technology Mobile Social Networks Mobile + Social Network + Physical Activity
- 9. Research Physical Activity Obesity Social Networking Technology • Why important? • Epidemiology • Public Policy • What is it? • Global crisis • Economic impact • Twitter • Social Network Analysis • eHealth • Fogg Behavior Model • Persuasive Technologies • Challenges
- 10. WHAT
- 11. 1. Turn on mobile fitness app Workout Time!
- 12. 2. Complete physical activity Walking Running Biking Hiking Swimming Lifting Sleeping
- 13. 3. Save workout
- 15. WHY
- 16. Chronic Disease •Heart Disease •Diabetes •Stroke •Lung Cancer •Respiratory Disease PREVENTABLE ! 70%63% 90%
- 20. Market Drivers for eHealth
- 21. HOW
- 24. #dailymile #nike+ #endomondo #runkeeper #myfitnesspal 178,988 136,299 74,037 61,538 49,664 As of May 5, 2011
- 28. Random sample of 2000 English speaking, mobile fitness app users
- 29. English only workout tweets (5 hashtags), 36 days Tweets = 234,772 Unique Users = 57,018
- 30. Tweets per day per #hashtag
- 31. Next Steps • 7th Annual International Conference on Kinesiology and Exercise Sciences (27-30 June) in Athens; • Submit paper to Athens conference (27 May); • NUIG Health Promotion poster (1 June); • Finish Lit Review and submit to journals.
- 32. Ted Vickey National University of Ireland - Galway ted.vickey@deri.org @tedvickey www.linkedin.com/in/tedvickey www.socialfitphd.com
- 33. Dr. Kathleen Martin-Ginis Industry Advisor McMaster University
- 36. Tweet Classifications Naaman et al 2010 Pear Analytics 2009