US 12,437,342 B1
Tracking risk behavior profile and controlling devices based on gameplay data
William Preston Culbertson, II, Plant City, FL (US); Gregory David Hansen, Fuquay Varina, NC (US); Keegan Patrick Hayes, Whitestown, IN (US); Mark Anthony Lopez, Helotes, TX (US); Will Kerns Maney, New York City, NY (US); and Steven Michael Bernstein, San Antonio, TX (US)
Assigned to United Services Automobile Association (USAA), San Antonio, TX (US)
Filed by United Services Autmobile Association (USAA), San Antonio, TX (US)
Filed on Feb. 28, 2023, as Appl. No. 18/115,177.
Claims priority of provisional application 63/314,853, filed on Feb. 28, 2022.
Int. Cl. G06Q 40/00 (2023.01); A63F 13/79 (2014.01); G06Q 40/08 (2012.01)
CPC G06Q 40/08 (2013.01) [A63F 13/79 (2014.09)] 16 Claims
OG exemplary drawing
 
1. A system comprising:
a communication component;
a storage;
a processor configured to couple to the communication component and the storage, wherein the processor is configured to:
receive application data representative of one or more applications used by a user;
in response to determining that the application data corresponds to a gaming application, collect game information for the gaming application;
collect user activity data associated with a game play by the user for the gaming application, wherein the user activity data comprises user activity in the gaming application during a time period;
receive sensor data acquired by one or more devices used by the user, wherein the sensor data comprises biometric information associated with the user during the time period;
identify one or more correlations between the user activity data and the sensor data based on one or more correlated changes in the user activity data and the sensor data;
generate a risk profile for the user based at least partially on the user activity data and the sensor data, wherein the risk profile indicating a relationship between the user activity data and a behavior of the user;
generate a gameplay behavior model based on the one or more correlations and the risk profile;
receive an indication of an upcoming activity expected to be performed by the user, wherein the upcoming activity is associated with operating a vehicle;
receive biometric data associated with the user, wherein the biometric data is indicative of a temperament of the user;
determine recommendation data for the upcoming activity based on the gameplay behavior model and the biometric data, wherein the recommendation data comprises one or more recommendations associated with operating the vehicle;
send the recommendation data to a computing device associated with the user;
receive updated sensor data corresponding to one or more operations of the vehicle associated with the user acquired by the one or more devices;
adjust a gameplay parameter in response to the updated sensor data being indicative of the user disregarding the recommendation data, wherein the gameplay parameter comprises a time or a time duration for the user to access the gaming application;
adjust one or more parameters of the one or more devices in response to the updated sensor data being indicative of the user disregarding the recommendation data; and
adjust an insurance policy associated with the user in response to the updated sensor data being indicative of the user disregarding the recommendation data.