The way RIOT can determine a person's whereabouts is by using relationships between people and their social media accounts to create association rules that can be displayed by a spider diagram. In using the RIOT interface, a search for a particular person can return several functions created by these association rules. For example, the function 'getLocations' returns a Google Earth link that pinpoints all of the "locations" a person had checked into on Foursquare or that had been stripped from the longitude and latitude data in the photos on Facebook that were tagged with or on a person's profile. Furthermore, the function 'getPlaces' returns the top 10 places that a person checks into and also allows one to analyze what the most frequent time of month, day, and hour a person visits those locations. In the example highlighted in the video, RIOT determined that the best way to get a hold of 'Nick' is to visit him at 6 am at the gym on a Monday.
While the video offered a simplistic example of how RIOT could be implemented, Raytheon featured RIOT in a patent that it is pursuing to 'gather data on people from these social networks to identify whether or not they should be judged a security risk'. Furthermore, company spokesman Jared Adams states that they are working with various industrial partners to help turn 'massive amounts of data into usable information to help meet our nation's rapidly changing security needs' while 'enabling the sharing and analysis of data without personally identifiable information [such as social security numbers, bank or other financial account information] being disclosed'.
I think that successful implementation of this program can aid in determining people's routines in order to create more efficient products and resources. For example, if I was rushing to work after my morning gym workout at 6 am on a Monday, a restaurant on my way to my office may consider offering breakfast. This could also prove to be useful in real estate; property values can be adjusted based on traffic modeling of an area using location data mined in RIOT. Finally, this program can be used by municipalities in order to create a supportive infrastructure for roadways and utility companies if residents are predicted to be traveling in certain patterns or certain time frames.