METHOD, SYSTEM, AND COMPUTER SOFTWARE CODE FOR THE ADAPTATION OF TRAINING VIA PERFORMANCE DIAGNOSIS BASED ON (NEURO)PHYSIOLOGICAL METRICS

• US 20110091847A1
• Filed: 10/15/2010
• Published: 04/21/2011
• Est. Priority Date: 10/15/2009
• Status: Abandoned Application

• Current Assignee: Design Interactive, Inc.
• Original Assignee: Design Interactive, Inc.
• Inventors: Jones, David, Carroll, Meredith Bell, Hale, Kelly, Fuchs, Sven, Milham, Laura, Lawson, Malachi
• Application Number:
  US12/905,973
• Publication Number:
  US 20110091847A1
• Time in Patent Office: Days
• US Class Current: 434/236
• 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 for adapting a training system based on information obtained from a user using a training system during a training scenario, the method including measuring a neurophysiological state, a physiological state, and/or a behavioral state of a user while a training scenario is in progress, diagnosing at least one performance deficiency of the user and/or a learned training objective while the training scenario is in progress, and adapting the training scenario during the training scenario and/or for a subsequent operation of the training scenario in response to information learned during diagnosing the at least one performance deficiency and/or a learned training objective to meet an objective of the training scenario. A system and computer software code for adapting the training system based on information obtained from the user using the training system during a training scenario is also disclosed.

Claims

1. A method for adapting a training system based on information obtained from a user using a training system during a training scenario, the method comprising:

measuring a neurophysiological state, a physiological state, and/or a behavioral state of a user while a training scenario is in progress;

diagnosing at least one performance deficiency of the user and/or a learned training objective while the training scenario is in progress; and

adapting the training scenario during the training scenario and/or for a subsequent operation of the training scenario in response to information learned during diagnosing the at least one performance deficiency and/or a learned training objective to meet an objective of the training scenario.

2. The method according to claim 1, wherein measuring the neurophysiological state, physiological state, and/or behavioral state further comprises measuring eye movement of the user, electrical conductance of skin of the user, and/or neural activity of a brain of the user wherein measuring neural activity comprises using surface electrodes, a system of collected metrics of behavioral performance, and/or a heart rate of the user.

3. The method according to claim 1, wherein diagnosing at least one performance deficiency, further comprises determining whether a perceptual task comprising a search task, a detection task, a recognition task, a procedural task, and/or a decision making task, has been performed incorrectly and/or correctly by the user.

4. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises comparing an expected eye tracking performance scan against a real-time eye tracking performance scan of the user to determine whether a deviation in performance exists.

5. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises determining patterns associated with missed information by the user based on eye tracking performance.

6. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises determining an emotional state of the user.

7. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises identifying an initiating factor of performance error for a given chain of events.

8. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises identifying consistent patterns of performance issues within and across training scenarios, where performance issues may occur across time, stimuli, location and/or difficulty level.

9. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises determining non-optimal cognitive states that may negatively impact a training scenario.

10. The method according to claim 1, wherein diagnosing at least one performance deficiency further comprises determining a level of expertise of the user based on a neurophysiological state, a physiological state, and/or behavioral state of the user compared to a neurophysiological state, a physiological state, and/or behavioral state associated with a profile of expertise.

11. The method according to claim 1, wherein adapting the training scenario further comprises adapting the training scenario to overcome the at least one performance deficiency of the user.

12. The method according to claim 1, wherein adapting the training scenario further comprises accelerating and/or compressing the training scenario to minimize further training on the learned training objective.

13. The method according to claim 1, further comprises communicating information to the user and/or a training instructor to facilitate overcoming the at least one performance deficiency.

14. A computer software code stored on a computer readable media and executable with a processor for adapting a training system based on information obtained from a user using the training system during a training scenario, the computer software code comprising:

a computer software module for measuring a neurophysiological state, a physiological state, and/or a behavioral state of a user while a training scenario is in progress, when executed with a processor;

a computer software module for diagnosing at least one performance deficiency of the user and/or a learned training objective while the training scenario is in progress, when executed with the processor; and

a computer software module for adapting the training scenario during the training scenario and/or for a subsequent running of the training scenario in response to information learned during diagnosing the at least one performance deficiency and/or a learned training objective to meet an objective of the training scenario, when executed with the processor.

15. The computer software code according to claim 14, wherein the computer software module for measuring the neurophysiological state, physiological state, and/or behavioral state further comprises a computer software module for evaluating measured eye movement of the user, electrical conductance of skin of the user, and/or neural activity of a brain of the user wherein the computer software module for measuring neural activity comprises processing information from surface electrodes, a system of collected metrics of behavioral performance, and/or a heart rate of the user.

16. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for determining whether a perceptual task comprising a search task, a detection task, a recognition task, a procedural task, and/or a decision making task, has been performed incorrectly and/or correctly by the user, when executed with the processor.

17. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for comparing an expected eye tracking performance scan against a real-time eye tracking performance scan of the user to determine whether a deviation in performance exists, when executed with the processor.

18. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for determining patterns associated with missed information by the user based on eye tracking performance, when executed with the processor.

19. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for determining an emotional state of the user, when executed with the processor.

20. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for identifying an initiating factor of performance error for a given chain of events, when executed with the processor.

21. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for identifying consistent patterns of performance issues within and across training scenarios, where performance issues may occur across time, stimuli, location and/or difficulty level, when executed with the processor.

22. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for determining non-optimal cognitive states that may negatively impact a training scenario, when executed with the processor.

23. The computer software code according to claim 14, wherein the computer software module for diagnosing at least one performance deficiency further comprises a computer software module for determining a level of expertise of the user based on a neurophysiological state, a physiological state, and/or behavioral state of the user compared to a neurophysiological state, a physiological state, and/or behavioral state associated with a profile of expertise.

24. The computer software code according to claim 14, wherein the computer software module for adapting the training scenario further comprises a computer software module for adapting the training scenario to overcome the at least one performance deficiency of the user, when executed with the processor.

25. The computer software code according to claim 14, wherein the computer software module for adapting the training scenario further comprises a computer software module for accelerating and/or compressing the training scenario to minimize further training on the learned training objective, when executed with the processor.

26. The computer software code according to claim 14, further comprises a computer software module for communicating information to the user and/or a training instructor to facilitate overcoming the at least one performance deficiency, when executed with the processor.

27. A system for adapting a training system based on information obtained from a user using the training system during a training scenario, the system comprising:

a measuring device configured to measure a neurophysiological state, a physiological state, and/or a behavioral state of a user while a training scenario is in progress;

a diagnostic device configured to identify at least one performance deficiency of the user and/or a learned training objective gathered from the neurophysiological state, physiological state, and/or behavioral state measured while the training scenario is in progress; and

an adaptation device configured to modify the training scenario during the training scenario and/or for a subsequent running of the training scenario in response to information identified with the diagnostic device to overcome the at least one performance deficiency and/or minimize further training of a learned training objective.

28. The system according to claim 27, wherein the measuring device comprises a device to measure eye movement of the user, a device to measure electrical conductance of skin of the user, and/or a device to measure neural activity of a brain of the user wherein the device to measure neural activity further comprises surface electrodes, a system of collected metrics of behavioral performance, and/or heart rate monitor.

29. The system according to claim 27, wherein the diagnostic device is further configured to determine whether a perceptual task, comprising a search task, a detection task, a recognition task, a procedural task, and/or a decision making task, has been performed incorrectly and/or correctly by the user.

30. The system according to claim 27, wherein the diagnostic device is further configured to compare an expected eye tracking performance scan against a real-time eye tracking performance scan of the user to determine whether a deviation in performance exists.

31. The system according to claim 27, wherein the diagnostic device is further configured to determine patterns associated with missed information by the user based on eye tracking performance of the user.

32. The system according to claim 27, wherein the diagnostic device is further configured to determine an emotional state of the user.

33. The system according to claim 27, wherein the diagnostic device is further configured to identify an initiating factor of performance error for a given chain of events.

34. The system according to claim 27, wherein the diagnostic device is further configured to identify consistent patterns of performance issues within and across training scenarios, where performance issues may occur across time, stimuli, location and/or difficulty level.

35. The system according to claim 27, wherein the diagnostic device is further configured to at determine non-optimal cognitive states that may negatively impact a training scenario.

36. The system according to claim 27, wherein the diagnostic device is further configured to at determine a level of expertise of the user based on a neurophysiological state, a physiological state, and/or behavioral state of the user compared to a neurophysiological state, a physiological state, and/or behavioral state associated with a profile of expertise.

37. The system according to claim 27, wherein the adaptation device is further configured to modify the training scenario to overcome the at least one performance deficiency of the user.

38. The system according to claim 27, wherein the adaptation device is further configured to accelerate and/or compress the training scenario to minimize further training on the learned training objective.

39. The system according to claim 27, further comprising a communication device configured to provide the user and/or a training instructor information to facilitate overcoming the at least one performance deficiency.

40. The system according to claim 39, wherein the communication device is a display device.