Practical Application of a Virtual Coaching System and Method Within the Context of Multiplayer Video Games and Based Upon a Determined Playstyle of a Player

• US 20190329139A1
• Filed: 04/25/2019
• Published: 10/31/2019
• Est. Priority Date: 04/26/2018
• Status: Abandoned Application

• Current Assignee: Activision Publishing Incorporated (Microsoft Corporation)
• Original Assignee: Activision Publishing Incorporated (Microsoft Corporation)
• Inventors: Di Giacomo Toledo, Diego, Hope, Gina L.
• Application Number:
  US16/395,113
• Publication Number:
  US 20190329139A1
• Time in Patent Office: Days
• CPC Class Codes: A63F 13/35 Details of game servers
• CPC Class Codes: A63F 13/352 involving special game server arrangements, e.g. regional servers connected to a national server or a plurality of servers managing partitions of the game world
• CPC Class Codes: A63F 13/58 by computing conditions of game characters, e.g. stamina, strength, motivation or energy level
• CPC Class Codes: A63F 13/67 adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
• 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 13/85 Providing additional services to players
• CPC Class Codes: A63F 2300/303 for displaying additional data, e.g. simulating a Head Up Display
• CPC Class Codes: A63F 2300/556 Player lists, e.g. online players, buddy list, black list
• 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: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/9035 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

The present specification provides methods and systems for determining a player'"'"'s playstyle based on a plurality of traits, extracted and determined from gaming parameters, and using the playstyle to present recommendations to a player via a virtual coaching system to help the player improve or modify the player'"'"'s gaming skills for multiplayer video game play.

Claims

1. A computer implemented method of making recommendations to a player for improving gaming skills during a gameplay session, the method being implemented in a host computer having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the host computer to perform the method, the method comprising:

determining, by the host computer, the player'"'"'s playstyle based on at least one player metric, wherein the player is associated with first performance data and wherein the first performance data comprises the at least one player metric;

searching, by the host computer, for other players with similar playstyle, wherein the other players are associated with second performance data and wherein the second performance data comprises at least one average metric that is greater than the at least one player metric;

comparing, by the host computer, the second performance data with the first performance data;

determining, by the host computer, areas of improvement for the player based on the comparison; and

presenting, by the host computer, recommendations to the player on the basis of the determined areas of improvement.

2. The method of claim 1, wherein the at least one average metric is greater than the at least one player metric by at least one standard deviation.

3. The method of claim 1, wherein determining the player'"'"'s playstyle comprises determining values for game statistics of the player based on the first performance data.

4. The method of claim 3, wherein values of the game statistics define one or more traits for a playstyle.

5. The method of claim 3, wherein determining the player'"'"'s playstyle comprises determining the values for game statistics based upon at least one of a map of the game or a mode of the gameplay.

6. The method of claim 1, wherein determining the player'"'"'s playstyle comprises obtaining the player'"'"'s self-identification of the playstyle.

7. The method of claim 1, wherein searching for the other players is based on at least a type of the game or a mode of the game.

8. The method of claim 1, wherein comparing the second performance data with the first performance data comprises comparing set of predefined game parameter values obtained from the first performance data with a corresponding set of predefined game parameter values obtained from the second performance data.

9. The method of claim 1, wherein the determining of areas of improvement for the player is based on discrepancies between the second performance data and the first performance data.

10. The method of claim 1, further comprising computer program instructions that, when executed by the one or more physical processors, cause the host computer to infer one or more generic recommendations from the one or more recommendations presented to the first player.

11. A system of making recommendations to a player for improving gaming skills during a gameplay session, the system comprising:

a host computer comprising one or more physical processors programmed by computer program instructions that, when executed, cause the host computer to;

determine the player'"'"'s playstyle based on at least one player metric, wherein the player is associated with first performance data and wherein the first performance data comprises the at least one player metric;

search for other players with similar playstyle, wherein the other players are associated with second performance data and wherein the second performance data comprises at least one average metric that is greater than the at least one player metric;

compare the second performance data with the first performance data;

determine areas of improvement for the player based on the comparison; and

present recommendations to the player on the basis of the determined areas of improvement.

12. The system of claim 11 further comprising a virtual coaching application hosted and implemented at least partly by the host computer.

13. The system of claim 12 wherein the virtual coaching application comprises program instructions that, when executed, cause the host computer to processes one or more discrepancies between the second performance data and the first performance data and use the discrepancies to determine the areas of improvement for the player.

14. The system of claim 11 further comprising a database in communication with the host computer for storing at least the first performance data and the second performance data.

15. The system of claim 11 further comprising an audio output configured to present the recommendations to the player.

16. The system of claim 11, wherein the at least one average metric is greater than the at least one player metric by at least one standard deviation.

17. The system of claim 11, wherein the host computer comprises one or more physical processors programmed by computer program instructions that, when executed, cause the host computer to determine the player'"'"'s playstyle by determining values for game statistics of the player based on the first performance data.

18. The system of claim 17, wherein values of the game statistics define one or more traits for a playstyle.

19. The system of claim 17, wherein the host computer comprises one or more physical processors programmed by computer program instructions that, when executed, cause the host computer to determine the player'"'"'s playstyle by determining the values for game statistics based upon at least one of a map of the game or a mode of the gameplay.

20. The system of claim 11, the host computer comprises one or more physical processors programmed by computer program instructions that, when executed, cause the host computer to determine the player'"'"'s playstyle by obtaining the player'"'"'s self-identification of the playstyle.