METHOD AND SYSTEM FOR CONTROLLING SKILL ACQUISITION INTERFACES

• US 20110111384A1
• Filed: 11/06/2009
• Published: 05/12/2011
• Est. Priority Date: 11/06/2009
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Liu, Yan, Dietrich, Brenda, Lai, Jennifer
• Granted Patent: US 9,039,419 B2
• Time in Patent Office: Days
• US Class Current: 434/350
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

A method and system for capturing expert behavior that the expert is not even necessarily conscious of, such as gaze patterns, that are tied to positive outcomes, and to create a catalog (e.g. database) of these behaviors. The system compares the current behavior of a person, for example a novice, against this catalog of expert behaviors. If the current behavior is significantly different, the system would adapt various aspects of the interface to bring the current behavior closer in line to that of the expert.

Claims

1. A computer-implemented method for acquiring skills comprising the steps of:

tracking and storing attributes of behavior of one or more first users when performing a task;

analyzing attributes of viewing behavior pattern of said one or more first users performing said task and associating said behavior patterns of said one or more first users'"'"' with significant outcomes of said task;

tracking a second user'"'"'s behavior when subsequently performing the same task as said one or more first users;

comparing, in real time, attributes of said second user'"'"'s behavior patterns with said stored attributes of said first user'"'"'s behavior tied to said significant outcomes;

detecting, in real time, differences between said first user'"'"'s attributes of behavior and said second user'"'"'s attributes of behavior; and

providing an indication for said second user to correct any said detected behavioral differences commensurate with said significant outcomes such that said second user acquires skills as said first user.

2. The method according to claim 1, wherein performing a task comprises viewing an image through a user interface.

3. The method according to claim 1, wherein said first user comprises an expert user.

4. The method according to claim 1, wherein said second user comprises a novice user.

5. The method according to claim 2, wherein said attributes of said first and second user'"'"'s behavior comprise gaze patterns when viewing said image via said user interface.

6. The method according to claim 5, wherein said first and second gaze patterns comprise time weighted averages of position of gaze.

7. The method according to claim 1, wherein the step of analyzing attributes of behavior of said one or more first users performing said task includes implementing a machine learning algorithm used in tying said expert user behavior with said significant outcomes.

8. The method according to claim 7, wherein the significant outcomes relate to positive or negative outcomes associated with performing the task.

9. The method according to claim 5, wherein the step of providing an indication to correct detected behavioral differences comprises one or more of:

creating movement of a displayed image via said interface, changing color of said image via said interface and changing intensity of said image via said interface to align said second user'"'"'s pattern with first reference patterns, or combinations thereof.

10. The method according to claim 1, wherein the step of providing an indication to correct detected behavioral differences includes providing an audio message for said second user to correct attributes of detected behavior.

11. A computer-implemented method for controlling skill acquisition interfaces comprising the steps of:

tracking and storing first reference patterns associated with a first user when viewing an image via a user interface;

analyzing attributes of viewing behavior pattern of said one or more first users performing said task and associating said behavior patterns of said one or more first users'"'"' with significant outcomes of said task;

tracking second reference patterns of a second user when subsequently viewing a same image as said first user;

comparing, in real time, said second reference patterns of said second user with said stored first reference patterns of said one or more first users tied to said significant outcomes;

detecting, in real time, differences between said stored first reference patterns and said second reference patterns; and

providing an indication via said user interface for said second user to correct viewing of said image commensurate with said significant outcomes,

whereby said second user acquires skills as said first user.

12. A system for controlling skill acquisition interfaces, the system comprising:

means for tracking attributes of behavior of one or more first and second users when performing a task, and associating said behavior patterns of said one or more first users'"'"' with significant outcomes of said task;

storage device for storing attributes of behavior of said one or more first users, and respective associated significant outcomes of said task,

means for comparing, in real time, attributes of said second user'"'"'s behavior when subsequently performing the same task as said first user with said stored attributes of said one or more first users'"'"' behavior tied to said significant outcomes, said means further detecting differences between said first user'"'"'s attributes of behavior patterns and said second user'"'"'s attributes of behavior; and

means associated with said user interface for providing an indication for said second user to correct any said detected behavioral differences commensurate with said significant outcomes such that said second user acquires skills as said first user.

13. The system according to claim 12, wherein performing a task comprises viewing an image through said user interface.

14. The system according to claim 12, wherein said first user comprises an expert user and said second user comprises a novice.

15. The system according to claim 12, wherein said attributes of said first and second user'"'"'s behavior comprise gaze patterns when viewing said image via said user interface.

16. The system according to claim 15, wherein said first and second gaze patterns comprise time weighted averages of position of gaze.

17. The system according to claim 12, further comprising:

database device in which said detected differences are catalogued.

18. The system according to claim 12, wherein the means for providing an indication to correct detected behavioral differences comprises:

means for creating movement of a displayed image via said interface, changing color of said image via said interface or changing intensity of said image via said interface to align second reference patterns with first reference patterns, or combinations thereof.

19. A computer program product comprising at least one computer usable medium having computer readable program code logic to execute a machine instruction in a processing unit for controlling skill acquisition interfaces, said computer readable program code logic when executed performing the following steps:

tracking and storing attributes of behavior of one or more first users when performing a task;

analyzing attributes of viewing behavior pattern of said one or more first users performing said task and associating said behavior patterns of said one or more first users'"'"' with significant outcomes of said task;

tracking a second user'"'"'s behavior when subsequently performing the same task as said one or more first users;

comparing, in real time, attributes of said second user'"'"'s behavior patterns with said stored attributes of said first user'"'"'s behavior tied to said significant outcomes;

detecting, in real time, differences between said first user'"'"'s attributes of behavior and said second user'"'"'s attributes of behavior; and

providing an indication for said second user to correct any said detected behavioral differences commensurate with said significant outcomes such that said second user acquires skills as said first user

20. The computer program product according to claim 19, wherein performing a task comprises viewing an image through said user interface.

21. The computer program product according to claim 19, wherein said first user comprises an expert user and said second user comprises a novice user.

22. The computer program product according to claim 19, wherein said first and second reference patterns comprise respective first and second user gaze patterns.

23. The computer program product according to claim 22, wherein said first and second gaze patterns comprise time weighted averages of position of gaze.

24. The computer program product according to claim 19, wherein said differences are catalogued into a database.

25. The computer program product according to claim 19, wherein the step of correcting differences comprises one of:

creating movement of a displayed image, changing color of said image and changing intensity of said image.