US 12,465,864 B2
Gaming content storage based on gaming performance
Rajendran Pichaimurthy, Karnataka (IN); Dolphin Masilamany Santha, Karnataka (IN); and Prakash Viswanathan, Karnataka (IN)
Assigned to Adeia Guides Inc., San Jose, CA (US)
Filed by Adeia Guides Inc., San Jose, CA (US)
Filed on Jul. 13, 2023, as Appl. No. 18/221,496.
Application 18/221,496 is a continuation of application No. 17/539,433, filed on Dec. 1, 2021, granted, now 11,738,276.
Application 17/539,433 is a continuation of application No. 16/935,713, filed on Jul. 22, 2020, granted, now 11,213,759, issued on Jan. 4, 2022.
Prior Publication US 2023/0364520 A1, Nov. 16, 2023
Int. Cl. A63F 13/86 (2014.01); A63F 13/67 (2014.01)
CPC A63F 13/86 (2014.09) [A63F 13/67 (2014.09)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
identifying, using control circuitry, a level from among levels of a video game;
determining, using control circuitry, a current value of a video game performance metric for the identified level;
determining, using control circuitry, a greatest value of the video game performance metric stored in a database;
determining whether the current value of the video game performance metric for the identified level of the video game exceeds the greatest value of the video game performance metric stored in the database;
in response to the current value of the video game performance metric not exceeding the greatest value of the video game performance metric:
refraining from storing a performance of the identified level of the video game in the database;
selecting for recommendation a tutorial of the identified level of the video game corresponding to the video game performance metric; and
transmitting, using control circuitry, an option that is selectable to cause playback of the selected tutorial; and
in response to the current value of the video game performance metric exceeding the greatest value of the video game performance metric:
storing the performance of the identified level of the video game in the database.