Posts Tagged ‘real-time’

Always on: The analysts are watching …

August 25, 2014 1 comment

We recently came across the Moves App, the always-on data logger that records walking, cycling and running activities, with the option to monitor over 60 other activities that can be configured manually. By keeping track of both activity and idle time calorie burn, the app provides ‘ an automatic diary of your life’  .. and by implication, assuming location tracking is always enabled as well, an automatic log of your location throughout each day. While this highlights a number of privacy concerns we have written about in the past (including Location Privacy: Cellphones vs. GPS, and Location Data Privacy Guidelines Released), it also opens up the possibilities for some insightful, and real-time or near real-time, analytical investigations into what wearers of a particular device or users of a particular app are doing at any given time.

Gizmodo reported today on the activity chart released by Jawbone, makers of the Jawbone UP wristband tracking device, which showed a spike in activity for UP users at the time a 6.0 magnitude earthquake occurred in the Bay Area of Central California in the early hours of Sunday 24th August 2014. Analysis of the users data revealed some insight into the geographic extent of the impact of the quake, with the number of UP wearers active at the time of the quake decreasing with increasing distance from the epicentre.

How the NAPA earthquake affected Bay Area sleepers

How the NAPA earthquake affected Bay Area sleepers.

Source: The Jawbone Blog 

This example provides another timely illustration of just how much personal location data is being collected and how that data may be used in ways never really anticipated by the end users. However, it also shows the potential for using devices and apps like these to provide real-time monitoring of what’s going on at any given location, information that could be used to help save lives and property. As with all new innovations, there are pros and cons to consider; getting the right balance between respecting the privacy of users and reusing some of the location data will help ensure that data mining initiatives such as this will be seen as positive and beneficial and not invasive and creepy.