System for evaluating game play data generated by a digital games based learning game

• US 20080280662A1
• Filed: 05/11/2007
• Published: 11/13/2008
• Est. Priority Date: 05/11/2007
• Status: Abandoned Application

• Current Assignee: Canadian Standards Association, Distil Interactive, Ltd. (CSA Group)
• Original Assignee: Canadian Standards Association
• Inventors: Matwin, Stan, White, Kenton, Shirabad, Jelber Sayyad
• Application Number:
  US11/798,303
• Publication Number:
  US 20080280662A1
• Time in Patent Office: Days
• US Class Current: 463/9
• CPC Class Codes: G07F 17/3295 Games involving skill, e.g. dexterity, memory, thinking
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

Methods and devices for assessing a user'"'"'s skill level in a field of expertise based on game play data generated by that user. In one embodiment, a user plays a game which simulates an auditing interview. The user selects predefined questions to ask a computer controlled interviewee and a game log of the questions asked, reactions to the questions, and other data is created. The game log is then sent to an assessment system with multiple assessment modules. Each assessment module analyzes the game play data for specific patterns in the questions being asked. Patterns such as the sequencing of questions, the type and frequency of questions asked, and whether specific questions are asked may then be tracked and assessed. Based on the results of the various assessment analyses, a final metric indicative of the user'"'"'s skill level is calculated. Advice and tips for the user to increase his skill level may also be provided based on what patterns were found in the game play data.

Claims

1. A system for evaluating game play data generated by a user to determine said user'"'"'s expertise in at least one specific field, the system comprising:

an input module for receiving previously completed game play data;

at least one assessment module for assessing said game play data, the or each assessment module generating assessment output based on said game play data

a collation module for receiving said assessment output from said at least one assessment module, said collation module outputting collation output, at least a portion of said collation output being indicative of said user'"'"'s expertise in said at least one specific field, said collation output being based on said assessment output received from said at least one assessment module.

2. A system according to claim 1 wherein said game play data is generated by said user playing a game wherein said user selects from a predetermined set of options.

3. A system according to claim 2 wherein said game play data comprises a record of selections made by said user in said game.

4. A system according to claim 1 wherein said collation output comprises predetermined human readable advice relating to said user'"'"'s performance in said game.

5. A system according to claim 1 wherein, for the or each assessment module, said assessment output is generated based on whether said game play data conforms to a predetermined set of rules.

6. A system for evaluating game play data generated by a user when playing a game to determine said user'"'"'s expertise in a specific field, the system comprising

an input module for receiving previously completed game play data

a plurality of assessment modules for independently assessing said game play data, each assessment module generating an assessment metric for said game play data based on whether said game play data conforms to a predefined set of rules and criteria, each assessment module'"'"'s predefined rules and criteria being different from those of other assessment modules

a collation module for receiving said assessment metric from each of said plurality of assessment modules, said collation module calculating at least one final metric indicative of said user'"'"'s expertise in said specific field, said final metric being based on multiple assessment metrics.

7. A system according to claim 6 wherein said game play data comprises a record of selections chosen by said user while playing said game.

8. A system according to claim 7 wherein said selections made by said user are from predefined options.

9. A system according to claim 6 wherein for each assessment module, said set of predefined rules and criteria is based on game play data generated by at least one expert in said specific field playing said game.

10. A system according to claim 6 wherein said predefined set of rules and criteria is based on data generated by at least one expert in said specific field concerning said specific field.

11. A system according to claim 7 wherein each selection made by said user is labelled in said game play data according to a type of said selection.

12. A system according to claim 7 wherein each selection made by said user is labelled according to a category of said selection.

13. A system according to claim 7 wherein said record of selections comprises said selections chosen by said user in the sequence they were chosen by said user.

14. A system according to claim 6 wherein at least one of said plurality of assessment modules generates its assessment metric based on a sequence of selections chosen by said user when playing said game.

15. A system according to claim 6 wherein at least one of said plurality of assessment modules generates its assessment metric based on whether said user chose specific selections when playing said game.

16. A system according to claim 6 wherein at least one of said plurality of assessment modules generates its assessment metric based on how many selections of a specific type were chosen by said user when playing said game.

17. A system according to claim 6 wherein at least one of said plurality of assessment modules generates its assessment metric based on whether selections chosen by said user reflects events occurring in said game.

18. A system according to claim 6 wherein said collation module provides predefined advice in human readable format based on data received from said assessment modules, said advice being related to said user'"'"'s game play data.

19. A system according to claim 6 wherein said game comprises at least one element chosen from a group comprising:

a simulation of an interview;

actions assigned to employees;

procedures for emergency planning;

actions related to real-time game events; and

responses in an emergency simulation.