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Ep 299: How Smart Do You Want Your Fitness Tracker to Be?

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When? This feed was archived on December 05, 2017 18:47 (6+ y ago). Last successful fetch was on October 03, 2021 11:52 (2+ y ago)

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Manage episode 195640013 series 1316159
Content provided by Michael Britt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Britt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Fitness tracking devices are getting smarter. They’re going to have to get a lot smarter if they are going to be powerful tools in your quest to be fit. But how much more “smart” do we really want them to get? Today they keep track of your steps and heart rate, but if your fitness tracker “knew” how you were thinking and whether you were saying things to yourself that are de-motivating (“I’ll never get in shape anyway…”) it might be more effective in getting you off the couch. But do you want it to have this information?

What if your tracker had some of the same GPS-enabled information that many cars and apps (like Waze) have? What if it knew the conditions of the area sidewalks, which walking/jobbing routes were safer than others or which had better scenery? This knowledge sounds like it could be very helpful, but are okay with your device having that info?

In this episode I look at some recent research on tracking devices (like those made by FitBit, Garmin, Samsung and others) and how they could be made even more effective by borrowing ideas from Facebook and Netflix.

  continue reading

294 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on December 05, 2017 18:47 (6+ y ago). Last successful fetch was on October 03, 2021 11:52 (2+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 195640013 series 1316159
Content provided by Michael Britt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Britt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Fitness tracking devices are getting smarter. They’re going to have to get a lot smarter if they are going to be powerful tools in your quest to be fit. But how much more “smart” do we really want them to get? Today they keep track of your steps and heart rate, but if your fitness tracker “knew” how you were thinking and whether you were saying things to yourself that are de-motivating (“I’ll never get in shape anyway…”) it might be more effective in getting you off the couch. But do you want it to have this information?

What if your tracker had some of the same GPS-enabled information that many cars and apps (like Waze) have? What if it knew the conditions of the area sidewalks, which walking/jobbing routes were safer than others or which had better scenery? This knowledge sounds like it could be very helpful, but are okay with your device having that info?

In this episode I look at some recent research on tracking devices (like those made by FitBit, Garmin, Samsung and others) and how they could be made even more effective by borrowing ideas from Facebook and Netflix.

  continue reading

294 episodes

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