By Stephen Schenck | January 20, 2014 4:48 PM
The sensors on our phones are getting better all the time; lately, the big thing has been implementing low-power systems to monitor these sensors, gathering more data than ever without simultaneously killing your phone’s battery. We’ve also seen wearable technology introduce more ways to capture sensor data than ever before, like those smart socks that map the details of your stride. But with all this information at our disposal, what exactly can we do with it? Developers are interested in tapping-in to it order to make their own apps smarter, like an idea to have Spotify generate activity- or mood-appropriate playlists based on sensor data.
Spotify Product Manager Donovan Sung briefly talked about some possibilities, like combining accelerometer and location data in order to detect when you’re bicycling or jogging, and generating uptempo playlists to match. The dream is to not overwhelm users with too many options, and instead get smarter about automatically tailoring suggestions to a particular user’s situation.
We’re not quite there yet (at least, not without external sensors) but if we ever have phones that are able to measure your heartbeat, Spotify would like to have its app be able to tell when you’re relaxed or really keyed-up, and recommend appropriate tunes to suit your mood.