Metrics-based gaming operations

• US 10,130,889 B2
• Filed: 05/23/2017
• Issued: 11/20/2018
• Est. Priority Date: 09/15/2008
• Status: Active Grant

• Current Assignee: Sony Interactive Entertainment LLC (Sony Group Corp.)
• Original Assignee: Sony Interactive Entertainment America LLC (Sony Group Corp.)
• Inventors: Riego, Joseph
• Primary Examiner(s): Yoo, Jasson
• Application Number:
  US15/603,251
• Publication Number:
  US 20170266566A1
• Time in Patent Office: 546 Days
• CPC Class Codes: A63F 13/12 involving interaction between a plurality of game devices, e.g. transmisison or distribution systems protocols for networked virtual reality, networked games H04L29/06034
• CPC Class Codes: A63F 13/30 Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
• CPC Class Codes: A63F 13/45 Controlling the progress of the video game
• CPC Class Codes: A63F 13/79 involving player-related data, e.g. identities, accounts, preferences or play histories
• CPC Class Codes: A63F 13/795 for finding other players; for building a team; for providing a buddy list
• CPC Class Codes: A63F 13/798 for assessing skills or for ranking players, e.g. for generating a hall of fame computing the game score A63F13/46
• CPC Class Codes: A63F 2300/535 for monitoring, e.g. of user parameters, terminal parameters, application parameters, network parameters
• CPC Class Codes: A63F 2300/5566 by matching opponents or finding partners to build a team, e.g. by skill level, geographical area, background, play style
• CPC Class Codes: A63F 2300/558 by assessing the players' skills or ranking
• CPC Class Codes: G06Q 20/3674 involving authentication

Abstract

Methods and systems for metrics-based gaming operations are provided. Information concerning game play for each play may be received and stored. Such information may be used to generate certain metrics. The generated metrics, in turn, may be used to determine how to customize a game operation. Such game operations may include providing training to a player, matching a player up with another player or with a team, adjusting a game event, etc.

Claims

1. A method for metrics-based game operations, the method comprising:

storing predefined benchmarks associated with a game title played via at least one in-game avatar within a game environment, wherein each predefined benchmark corresponds to a proficiency level in performing a skill via the in-game avatar within the game environment of the game title;

receiving gameplay information from a user device over a communication network concerning performance of the skill by a first player during a session of the game title;

indexing the received gameplay information within a database in memory that stores gameplay information regarding a plurality of different players and a plurality of different sessions of the game title, the stored gameplay information having been indexed for analysis in accordance with one or more of the predefined benchmarks associated with the game title; and

executing instructions stored in memory, wherein execution of the instructions by a processor;

generates a metric based on an analysis of the indexed gameplay information concerning the first player playing the game title, wherein the generated metric characterizes the proficiency level for the skill as exhibited by first player via the in-game avatar within the game environment of the game title,

identifies when the generated metric indicates that the first player exhibits one or more weaknesses in the skill,

generates a training curriculum for the first player, the generated training curriculum directed at improving the identified weaknesses in the skill within the game title, and

provides the generated training curriculum to the user device of the first player.

2. The method of claim 1, further comprising:

extracting data from the received gameplay information indicating that the first player has completed one or more tasks via the in-game avatar within the game environment of the game title, and

translating the extracted data regarding the completion of the one or more tasks in accordance with the predefined benchmarks.

3. The method of claim 2, further comprising introducing at least one of a patch or emulator specific to the game title, wherein the patch or emulator requests the gameplay information associated with completion of the one or more tasks within the game title.

4. The method of claim 1, wherein the generated training curriculum is customized for the first player based on the generated metric.

5. The method of claim 4, wherein generating the customized training curriculum comprises recording video of a second player playing the same game title, wherein the second player is characterized as performing the skill at a higher level than the first player based on a generated metric associated with the performance of the skill by the second player.

6. The method of claim 5, further comprising annotating the recorded video.

7. The method of claim 6, wherein annotating the recorded video comprises adding instructions via at least one of voice over, text, and images of controller manipulation.

8. The method of claim 4, wherein generating the customized training curriculum comprises pairing the first player with a second player playing the same game title, wherein the second player is characterized as performing the skill at a higher level than the first player based on a generated metric associated with the performance of the skill by the second player.

9. The method of claim 1, further comprising storing a library of training videos, wherein generating the training curriculum for the first player comprises selecting at least one training video from the library of training videos.

10. A non-transitory computer-readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for metrics-based game operations, the method comprising:

storing predefined benchmarks associated with an game title played via at least one in-game avatar within a game environment, wherein each predefined benchmark corresponds to a proficiency level in performing a skill via the in-game avatar within the game environment of the game title;

receiving gameplay information from a user device over a communication network concerning performance of the skill by a first player during a session of the game title;

indexing the received gameplay information within a database in memory that stores gameplay information regarding a plurality of different players and a plurality of different sessions of the game title, the stored gameplay information having been indexed for analysis in accordance with one or more of the predefined benchmarks associated with the game title;

generating a metric based on an analysis of the indexed gameplay information concerning the first player playing the game title, wherein the generated metric characterizes the proficiency level for the skill as exhibited by first player via the in-game avatar within the game environment of the game title;

identifying when the generated metric indicates that the first player exhibits one or more weaknesses in the skill;

generating a training curriculum for the first player, the generated training curriculum directed at improving the identified weaknesses in the skill within the game title; and

providing the generated training curriculum to the user device of the first player.

11. The non-transitory computer-readable storage medium of claim 10, further comprising instructions executable to:

extract data from the received gameplay information indicating that the first player has completed one or more tasks via the in-game avatar within the game environment of the game title, and

translate the extracted data regarding the completion of the one or more tasks in accordance with the predefined benchmarks.

12. The non-transitory computer-readable storage medium of claim 11, further comprises instructions executable to introduce at least one of a patch or emulator specific to the game title, wherein the patch or emulator requests the gameplay information associated with completion of the one or more tasks within the game title.

13. The non-transitory computer-readable storage medium of claim 10, where the generated training curriculum is customized for the first player based on the generated metric.

14. The non-transitory computer-readable storage medium of claim 13, wherein generating the customized training curriculum comprises recording video of a second player playing the same game title, wherein the second player is characterized as performing the skill at a higher level than the first player based on a generated metric associated with the performance of the skill by the second player.

15. The non-transitory computer-readable storage medium of claim 14, further comprising instructions executable to annotate the recorded video.

16. The non-transitory computer-readable storage medium of claim 15, wherein annotating the recorded video comprises adding instructions via at least one of voice over, text, and images of controller manipulation.

17. The non-transitory computer-readable storage medium of claim 13, wherein generating the customized training curriculum comprises pairing the first player with a second player playing the same game title, wherein the second player is characterized as performing the skill at a higher level than the first player based on a generated metric associated with the performance of the skill by the second player.

18. The non-transitory computer-readable storage medium of claim 10, further comprising instructions executable to store a library of training videos, wherein generating the training curriculum for the first player comprises selecting at least one training video from the library of training videos.

19. A system for metrics-based game operations, the system comprising:

a library that stores predefined benchmarks associated with an game title played via at least one in-game avatar within a game environment, wherein each predefined benchmark corresponds to a proficiency level in performing a skill via the in-game avatar within the game environment of the game title;

a network interface that communicates over a communication network, wherein the network interface receives gameplay information from a user device over a communication network concerning performance of the skill by a first player during a session of the game title;

a database that stores the received gameplay information, wherein the received gameplay information is indexed within the database regarding a plurality of different players and a plurality of different sessions of the game title, the stored gameplay information having been indexed for analysis in accordance with one or more of the predefined benchmarks associated with the game title; and

a processor that executes instructions stored in memory, wherein execution of the instructions;

generates a metric based on an analysis of the indexed gameplay information concerning the first player playing the game title, wherein the generated metric characterizes the proficiency level for the skill as exhibited by first player via the in-game avatar within the game environment of the game title,

identifies when the generated metric indicates that the first player exhibits one or more weaknesses in the skill,

generates a training curriculum for the first player, the generated training curriculum directed at improving the identified weaknesses in the skill within the game title, and

provides the generated training curriculum to the user device of the first player.