Systems, Apparatus And Methods For Using Biofeedback To Facilitate A Discussion

• US 20180214075A1
• Filed: 03/28/2018
• Published: 08/02/2018
• Est. Priority Date: 12/08/2016
• Status: Active Grant

• Current Assignee: Louise M Falevsky
• Original Assignee: Louise M Falevsky
• Inventors: Falevsky, Louise M., Fish, Robert D.
• Granted Patent: US 10,888,271 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/088 Word spotting
• CPC Class Codes: G10L 2015/225 Feedback of the input speech
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology
• CPC Class Codes: G10L 25/66 for extracting parameters related to health condition detecting or measuring for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Computer implemented biofeedback is used to facilitate discussions. Preferred embodiments include the steps of identifying a concept used by at least one of the participants during a discussion, sourcing additional content from outside the discussion, detecting use of a trigger expression by one of the participants, and then further to detecting use of the trigger expression rendering at least some of the additional content to one or more of the participants as an electronic biofeedback signal.

Claims

1. A method of using biofeedback to facilitate a discussion between at least a first participant and a second participant, comprising using an electronic processing system during the discussion to execute the following steps, in sequence:

(a) identify a first concept expressed by at least the first participant;

(b) source, from a source external to the discussion, a first content related to the first concept;

(c) detect use, by at least one of the participants, of a first trigger expression; and

(d) use detection of the first trigger expression to trigger delivery of at least some of the first content to at least the first participant as a first electronic biofeedback signal.

2. The method of claim 1, further comprising the electronic processing system repeating steps (a) through (d) as a biofeedback loop, optionally using any of a different second concept and a corresponding different second content, a different, second trigger expression, and a different second electronic biofeedback signal.

3. The method of claim 2, further comprising the electronic processing system prioritizing delivery of the first electronic biofeedback signal over delivery of the second electronic biofeedback signal by ranking relative amount of time that the first and second concepts have been discussed in the discussion.

4. The method of claim 2, wherein at least the first participant uses the first electronic biofeedback signal to begin discussion of the different second concept.

5. The method of claim 1, wherein the first trigger expression is a non-question, non-instruction expression.

6. The method of claim 1, further comprising the electronic processing system utilizing profile information of the first participant to assist in sourcing the first content.

7. The method of claim 1, further comprising using an electronic processing system to ask a question to the first participant, and utilizing an answer to the question to assist in sourcing the first content.

8. The method of claim 1, further comprising using an expression characteristic of the first participant to assist in sourcing the first content.

9. The method of claim 1, further comprising using an artificial intelligence (AI) system to assist in sourcing the first content.

10. The method of claim 1, further comprising symantically expanding terms used by the first participant to assist in sourcing the first content.

11. The method of claim 1, further comprising using terms expressed by the first participant to make a 2^nd order correlation, and using the 2^nd order correlation to assist in sourcing the first content.

12. The method of claim 1, further comprising rendering the first electronic biofeedback signal to the first participant as a computer-generated graphical image.

13. The method of claim 12, further comprising using an electronic processing system to create the computer-generated graphical image de novo during the discussion.

14. The method of claim 1, further comprising delaying rendering of the first electronic biofeedback signal to the first participant pending a lull in the discussion.

15. The method of claim 1, further comprising utilizing at least a portion of the first concept to create an agenda, and rendering the agenda to the first participant.