SXSW Interactive 2015
Wearables: How to Prevent Data Overload?
In 2014, wearable technology went mainstream. It is easier than ever to buy an activity tracker, heart rate monitor, wrist band or other measurement tool. And even if we don't buy a specific gadget, the motion sensors in our smartphones can monitor our behavior as well. How well did you sleep? Did you move at least 30 minutes a day? Have you been to the gym? We can find a treasure trove of data about our behavior on our phones and in the cloud. Probably you're tempted to use all that data to find areas of self improvement. Losing weight, getting more active, living a healthier life, or finding a better work life balance is all within reach, if we could analyse all that data and try to find useful patterns.
That all sounds great, but you can easily feel overwhelmed by the gigantic pile of data you've collected.
This talk helps you set your priorities straight and work on a minimal actionable dataset. With one goal: smallest possible effort, biggest possible output.
Share this idea
- How do I prevent information overload from wearables, activity trackers, apps and other self measurement tools?
- How do I prioritize and find my minimal actionable dataset?
- How can I find useful patterns, without having an advanced degree in data sciences?
- How do I visualize my data without effort?
- How do I choose the wearables and apps that are best fit for me?
- Gonny van der Zwaag, Journalist, iCulture
Gonny van der Zwaag, Journalist, iCulture