Predictive recommendations for skills development

• US 10,166,478 B2
• Filed: 09/30/2015
• Issued: 01/01/2019
• Est. Priority Date: 09/30/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostick, James E., Ganci, Jr., John M., Keen, Martin G., Rakshit, Sarbajit K., Trim, Craig M.
• Primary Examiner(s): Ahmed, Masud
• Application Number:
  US14/870,246
• Publication Number:
  US 20170087470A1
• Time in Patent Office: 1,189 Days
• Field of Search: 463 40- 42
• CPC Class Codes: A63F 13/35 Details of game servers
• 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 13/798 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

Abstract

Measuring a skill set of a user as the user plays a game on a gaming device to gauge a skill level of the user across a set of defined metrics. Predictive analytics are used to anticipate upcoming challenges a user will face; based on the upcoming challenges for the user, games are recommended to increase the skill levels of the user to address and overcome the upcoming challenges.

Claims

1. A method comprising:

receiving a first user skill profile data set including information indicative of a plurality of first user skill parameter values respectively corresponding to a first user'"'"'s competency with respect to a physical activity related skill parameter;

receiving a training video game data set including information indicative of;

(i) identities of a plurality of training video games, and (ii) for each given training video game of the plurality of training video games, an indication of a set of respectively associated skill parameter(s) that the given training video game helps to develop in players of the given training video game;

receiving a competitive event data set including information indicative of;

(i) an identity of a first competitive event in which the first user is scheduled to participate, with the first competitive event including a set of physical activity(ies), and (ii) a plurality of first competitive event skill parameter values respectively corresponding to relative amounts of skill parameters that are considered necessary for a user to complete the set of physical activity(ies) included in the first competitive event; and

selecting, by machine logic based rules, a subset of recommended training video games of the plurality of training video games based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

2. The method of claim 1 further comprising:

determining, by machine logic based rules, priority values respectively corresponding to each recommended training video game of the subset of recommended training video games, with the determination of the priority values being based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

3. The method of claim 2 further comprising:

determining a video game training regimen based on the priority values for the recommended training video games of the subset of recommended training video games.

4. The method of claim 3 further comprising:

executing the training video games of the subset of recommended training video games based, at least in part, upon the video game training regimen.

5. The method of claim 1 wherein the set of physical activity(ies) included in the first competitive event include at least one of the following type(s) of physical activity:

(i) hand-eye coordination, (ii) spatial-reasoning, and (iii) hiking.

6. A computer program product (CPP) comprising:

a machine readable storage device; and

computer code stored on the machine readable storage device, with the computer code including instructions for causing a processor(s) set to perform operations including the following;

receiving a first user skill profile data set including information indicative of a plurality of first user skill parameter values respectively corresponding to a first user'"'"'s competency with respect to a physical activity related skill parameter,

receiving a training video game data set including information indicative of;

(i) identities of a plurality of training video games, and (ii) for each given training video game of the plurality of training video games, an indication of a set of respectively associated skill parameter(s) that the given training video game helps to develop in players of the given training video game,

receiving a competitive event data set including information indicative of;

(i) an identity of a first competitive event in which the first user is scheduled to participate, with the first competitive event including a set of physical activity(ies), and (ii) a plurality of first competitive event skill parameter values respectively corresponding to relative amounts of skill parameters that are considered necessary for a user to complete the set of physical activity(ies) included in the first competitive event, and

selecting, by machine logic based rules, a subset of recommended training video games of the plurality of training video games based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

7. The CPP of claim 6 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

determining, by machine logic based rules, priority values respectively corresponding to each recommended training video game of the subset of recommended training video games, with the determination of the priority values being based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

8. The CPP of claim 7 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

determining a video game training regimen based on the priority values for the recommended training video games of the subset of recommended training video games.

9. The CPP of claim 8 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

executing the training video games of the subset of recommended training video games based, at least in part, upon the video game training regimen.

10. The CPP of claim 6 wherein the set of physical activity(ies) included in the first competitive event include at least one of the following type(s) of physical activity:

(i) hand-eye coordination, (ii) spatial-reasoning, and (iii) hiking.

11. A computer system (CS) comprising:

a processor(s) set;

a machine readable storage device; and

computer code stored on the machine readable storage device, with the computer code including instructions for causing the processor(s) set to perform operations including the following;

receiving a first user skill profile data set including information indicative of a plurality of first user skill parameter values respectively corresponding to a first user'"'"'s competency with respect to a physical activity related skill parameter,

receiving a training video game data set including information indicative of;

(i) identities of a plurality of training video games, and (ii) for each given training video game of the plurality of training video games, an indication of a set of respectively associated skill parameter(s) that the given training video game helps to develop in players of the given training video game,

receiving a competitive event data set including information indicative of;

(i) an identity of a first competitive event in which the first user is scheduled to participate, with the first competitive event including a set of physical activity(ies), and (ii) a plurality of first competitive event skill parameter values respectively corresponding to relative amounts of skill parameters that are considered necessary for a user to complete the set of physical activity(ies) included in the first competitive event, and

selecting, by machine logic based rules, a subset of recommended training video games of the plurality of training video games based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

12. The CS of claim 11 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

determining, by machine logic based rules, priority values respectively corresponding to each recommended training video game of the subset of recommended training video games, with the determination of the priority values being based, at least in part upon all of the following;

(i) the first user skill profile data set, (ii) the training video game data set, and (iii) the competitive event data set.

13. The CS of claim 12 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

determining a video game training regimen based on the priority values for the recommended training video games of the subset of recommended training video games.

14. The CS of claim 13 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operations:

executing the training video games of the subset of recommended training video games based, at least in part, upon the video game training regimen.

15. The CS of claim 11 wherein the set of physical activity(ies) included in the first competitive event include at least one of the following type(s) of physical activity:

(i) hand-eye coordination, (ii) spatial-reasoning, and (iii) hiking.