US 11,724,198 B2
Intelligent recommendations for gameplay session adjustment
Ellana Fortuna, San Mateo, CA (US); Erikka Thompson, San Mateo, CA (US); and Elizabeth Juenger, San Mateo, CA (US)
Assigned to Sony Interactive Entertainment LLC, San Mateo, CA (US)
Filed by Sony Interactive Entertainment LLC, San Mateo, CA (US)
Filed on Aug. 11, 2021, as Appl. No. 17/399,773.
Prior Publication US 2023/0047065 A1, Feb. 16, 2023
Int. Cl. A63F 13/75 (2014.01); A63F 13/71 (2014.01); A63F 13/79 (2014.01); A63F 13/85 (2014.01)
CPC A63F 13/75 (2014.09) [A63F 13/71 (2014.09); A63F 13/79 (2014.09); A63F 13/85 (2014.09)] 19 Claims
OG exemplary drawing
 
1. A method for developing and customizing learning models regarding gameplay, the method comprising:
storing information in memory regarding a user account and one or more selected conditions;
monitoring activity data from a plurality of gameplay sessions of a plurality of interactive content titles, the activity data associated with the user account;
analyzing the activity data to extract one or more gameplay patterns exhibited by the user account associated with the selected conditions, wherein analyzing the activity data is based on one or more learning models associated with the selected conditions, wherein at least one of the learning model is associated with the user account;
generating a notification that includes one or more gameplay control options based on the learning models associated with the extracted patterns indicating that one or more of the selected conditions are met by the activity data; and
refining the at least one learning model based on one or more selected gameplay control options and one or more outcomes of each gameplay control option.