Disrupting the Self: Lifelogging, Wearable Computing, and Society
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Social networks get bigger. Sensors get smaller. Together, these two things let us track our lives. We collect data both actively (places we check in, quips we tweet, foods we consume, miles we run) and passively (heart rate, asthma inhaler use, sleep patterns.) However you look at it, the move to quantify the self is big news—and big business. But how are today's innovators framing the Quantified Self discussion? How can our species benefit from all of these sensors, and the predictions that analytics can offer? In this session, we'll take a step back from the details and look at why lifelogging and wearable computing is such a polarizing topic, exciting some and terrifying others. We'll learn how people are using this technology to understand their bodies and minds. We'll discover the connection between technology and mindfulness, and how persuasive technology can generate behavioural outcomes. Ultimately, we'll explore the role of lifelogging as a force for the common good—provided we have the right framework and a moral compass to steer us towards this lofty goal.
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Disrupting the Self: Lifelogging, Wearable Computing, and Society
- 1. Startupfest Montreal: Disrupting the Self: Lifelogging, Wearable Computing, and Society Dulcie Madden, Rest Devices Jen van der Meer, Luminary Labs
- 2. Key Themes • Active v. passive collection • Shifting “target” populations + networks • Use actionability + change
- 9. Early Lessons in Quantified Self StressEraser
- 10. Adoption and Action Design Matters
- 11. Adoption and Action “Why” and “For Who” Matters
- 12. Money Talks: Tracking the Cash COMPANY INVESTMENT jawbone $202M fitbit $53M runkeeper $11.5M ginger.io $8.2M ovuline $1.4M zeo… $20.6M
- 13. Mindfulness Loops Dynamic change of awareness during meditation techniques: neural and physiological correlates.
- 14. The Mindfulness Quantified Self Continuum Stress Interventions: Useful WHEN? mindful anger management extreme stress everyday stress
- 15. Questions // Comments? • Jen – @jenvandermeer • Dulcie – @RestDevices – dmadden@restdevices.com
Hinweis der Redaktion
- Explain active (user-reported)vs passive (organic sensor collecting) data; manual use of hardware data vs human inputs into softwareExplosive trends in people trying to build hardware around the software to optimize passive data collection. A few stellar examples…Runkeeper: run with your phone, set goals, integrate with other fitness elements. Extensive partnerships:Withings; Up; Sleepy; etc aggregate data via Runkeeper’s API so that they can run enhanced analytics on fitness, weight, sleep, etc. Still requires MANUAL logging of data for most applications. SOCIAL ELEMENT
- “Enhanced” pedometer: yes, it measures steps and calories burned, but you have to manually log your food, calories in//out, activities; weight; sleep; journal; heart; bp; glucose…not that different than what weight watchers has been doing for…years? But has a hardware component to organically collect at least ONE feature. They work hard to hook you into the data so that you can’t “defect” to another app or program; the hurdle//barrier to entry to migrate data would be too high. But, is it effective?How many of you have a fitbit? How many of you are still using it?SOCIAL ELEMENT
- Other examples: Ovuline; Breastfeeding + Child Sleeping Apps; etc
- Asthmatics are supposed to track symptoms and medication usage; this is totally tedious. Asthmapolis is an inhaler attachment that captures attack, medication, and location data for your asthmaand syncs with your smartphone. Then aggregates the data to track triggers + symptoms, to create personalized feedback and education, etc. Ultimately, set up medication remidners and alerts. Take mundane—and for most athmatics, obnoxious tracking tools—and create more ease and accuracyOther platforms: GeckoCap (same, but with layer of gamification)SOCIAL: kidsparents; asthmatics physicians
- The GoCap is a replacement cap for prefilled insulin pens that records the level of insulin administered daily and the times it was taken; transmits data using BT to smartphone or connected glucometer; gain insight about daily insulin use over time to see if they’re taking medicine and to adjust prescribed amount if necessaryAdvantage over AdhereTech, MediSafe, etc is that patients just have to use the pen cap
- http://www.chcf.org/~/media/MEDIA%20LIBRARY%20Files/PDF/M/PDF%20MakingSenseSensors.pdfMake the point about BIG BROTHER IS ALWAYS WATCHING YOU…or, just overquantification of life maybe?And, soon enough, you can quantify your BABY:PeekoSensible BabySproutlingOwletEtc, etc, etc
- Nooooooooooooooothing since 2009Dissect problems (why did this fail? How have people learned?”
- Maybe include some commentary about the adoption of killer industrial design; an “athletics + performance” edge, i.e. Nike Fuel + Jawbone—if athletes are doing it, then America wants to do it, etc etc…?Does gamification matter?Jawbone literally bought MassiveHealth for UI // DesignStill early to see purchase // adoption // long term usage…can we get those numbers?
- FERTILITY; BABY. Does Fertility only matter for women >> certain age? Does Baby stuff matter for 2nd and 3rd time mothers//parents?Still early to see purchase // adoption // long term usage…can we get those numbers?YOUR BABYSmallnestBabyLogNotes: these guys don’t really do deeper analytics, and the data is SUPER tough to work with if you want to do it yourself…almost like a roadblock for the quantification insight pathway
- Unclear what “QS” market isWearable Tech to be at $50B in five years; ABI estimates 61% of all devices in wearable market are fitness or activity trackers.Other examples…Google Glasses;
- http://www.frontiersin.org/human_neuroscience/10.3389/fnhum.2012.00131/fullJen…????
- Is there any data to substantiate this?Medicine (surgeries)Military Humanitarian Aid WorkersVery Dangerous//Physical Jobs (Oil Rigs?)
- We sort of need a takeaway slide…but we could very potentially just verbally articulate it?