IP Library Granted Patent US 11,990,139
Granted Patent B1
US 11,990,139 · App. 18/483,078 · Granted May 21, 2024

System that conducts dialogs using artificial intelligence

Inventor: Barry Sandrew (Encinitas, CA)
Assignee: SANDREW & COMPANY, LLC
G10L17/22G06F3/167G06F40/58G06V20/50G10L13/02G10L17/14
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Quick Facts
Patent No.
US 11,990,139
App. No.
18/483,078
Granted
May 21, 2024
Kind
B1
Abstract

An artificial intelligence system that conducts dialogs with one or more participants to achieve an educational outcome, such as teaching material with a Socratic question-and-answer method, reviewing material to reinforce ideas or to prepare a participant for future tests or events, or evaluating a participant's knowledge or communication skills. The system may use an artificial intelligence engine that can understand and generate natural language, such as a large-language model like ChatGPT. Text-to-speech and speech-to-text converters may be coupled to the AI engine to enable the system to communicate directly with participants using spoken language. The system may provide an interface for entry of contextual information for a dialog, such as background information on topics for discussion. It may provide an interface for moderation of a dialog, for example by a teacher, lawyer, thesis advisor, etc. System may evaluate the performance of the participants at the end of a dialog.

Claims (105)

1. A system that conducts dialogs using artificial intelligence, comprising:

an artificial intelligence engine comprising

a processor; and

a large language model;

a text-to-speech converter coupled to said artificial intelligence engine;

a speech-to-text converter coupled to said artificial intelligence engine; and,

a data collection user interface configured to accept a dialog context and to transmit said dialog context to said artificial intelligence engine;

wherein

said artificial intelligence engine is configured to

receive said dialog context

generate text questions for one or more dialog participants based on said dialog context and based on previous responses of said one or more dialog participants,

wherein said dialog context is received and entered into said data collection user interface prior to a dialog between said one or more dialog participants,

wherein said dialog context comprises information that is configured to be received from one or more of

 a user other than said one or more dialog participants,

 other data sources other than said one or more dialog participants; and

transmit said text questions to said text-to-speech converter;

said text-to-speech converter is configured to

transform said text questions to audio questions; and

output said audio questions to said one or more dialog participants; and,

said speech-to-text converter is configured to

receive audio responses from said one or more dialog participants;

transform said audio responses to text responses; and

transmit said text responses to said artificial intelligence engine; and,

said artificial intelligence engine is further configured to

generate one or more evaluations of said one or more dialog participants based on said text responses and on said dialog context.

2. The system that conducts dialogs using artificial intelligence of claim 1 , further comprising

a moderator user interface configured to accept commands to perform one or more of

selection of said one or more dialog participants;

starting said dialog;

terminating said dialog;

generating said one or more evaluations.

3. The system that conducts dialogs using artificial intelligence of claim 1 ,

wherein said dialog context comprises one or more of

written output generated by said one or more dialog participants;

a course rubric;

assignment instructions;

class notes;

class lectures;

anticipated learning outcomes;

background information on a discussion topic.

4. The system that conducts dialogs using artificial intelligence of claim 1 ,

wherein said speech-to-text converter is further configured to

receive a voice sample from each of said one or more dialog participants;

identify a dialog participant associated with each of said audio responses; and,

transmit said dialog participant to said artificial intelligence engine.

5. The system that conducts dialogs using artificial intelligence of claim 1 ,

wherein

said speech-to-text converter is further configured to translate said text questions into a preferred language of said one or more dialog participants; and,

said speech-to-text converter is further configured to

translate said text responses from said preferred language of said one or more dialog participants.

6. The system that conducts dialogs using artificial intelligence of claim 1 ,

wherein

said speech-to-text converter is further configured to

identify said one or more dialog participants by comparing previous audio associated with said one or more dialog participants with said audio responses.

7. The system that conducts dialogs using artificial intelligence of claim 1 ,

wherein

said speech-to-text converter is further configured to

identify said one or more dialog participants by analyzing said audio responses to determine a name associated with said audio responses.

8. The system that conducts dialogs using artificial intelligence of claim 1 , wherein said one or more evaluations comprises a combined evaluation of a plurality of said one or more dialog participants based on said text responses and on said dialog context.

9. The system that conducts dialogs using artificial intelligence of claim 1 , further comprising an image interpreter configured to obtain an image wherein said image interpreter is coupled with or is within said artificial intelligence engine; and, wherein said artificial intelligence engine in configured to update said dialog context

based on said image.

10. A system that conducts dialogs using artificial intelligence, comprising:

an artificial intelligence engine comprising

a processor; and

a large language model;

a text-to-speech converter coupled to said artificial intelligence engine;

a speech-to-text converter coupled to said artificial intelligence engine; and,

a data collection user interface configured to accept a dialog context and to transmit said dialog context to said artificial intelligence engine;

wherein

said artificial intelligence engine is configured to

receive said dialog context

generate text questions for one or more dialog participants based on said dialog context and based on previous responses of said one or more dialog participants,

wherein said dialog context is received and entered into said data collection user interface prior to a dialog between said one or more dialog participants,

wherein said dialog context comprises information that is configured to be received from one or more of

a user other than said one or more dialog participants,

other data sources other than said one or more dialog participants; and

transmit said text questions to said text-to-speech converter;

said text-to-speech converter is configured to

transform said text questions to audio questions; and

output said audio questions to said one or more dialog participants; and,

said speech-to-text converter is configured to

receive audio responses from said one or more dialog participants;

transform said audio responses to text responses; and

transmit said text responses to said artificial intelligence engine; and,

said artificial intelligence engine is further configured to

generate one or more evaluations of said one or more dialog participants based on said text responses and on said dialog context;

a moderator user interface configured to accept commands to perform one or more of

selection of said one or more dialog participants;

starting a dialog;

terminating said dialog;

generating said one or more evaluations;

wherein said dialog context comprises one or more of

written output generated by said one or more dialog participants;

a course rubric;

assignment instructions;

class notes;

class lectures;

anticipated learning outcomes;

background information on a discussion topic;

receive a voice sample from each of said one or more dialog participants;

identify a dialog participant associated with each of said audio responses; and,

transmit said dialog participant to said artificial intelligence engine.

11. The system that conducts dialogs using artificial intelligence of claim 10 , wherein said one or more evaluations comprises a combined evaluation of a plurality of said one or more dialog participants based on said text responses and on said dialog context.

12. The system that conducts dialogs using artificial intelligence of claim 10 , further comprising an image interpreter configured to obtain an image wherein said image interpreter is coupled with or is within said artificial intelligence engine; and, wherein said artificial intelligence engine in configured to update said dialog context

based on said image.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 29, 2026
From: SANDREW & COMPANY, LLC
To: SOCRATIC METRIC, LLC
Reel/Frame 073629/0632 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2023
From: SANDREW, BARRY
To: SANDREW & COMPANY, LLC
Reel/Frame 065159/0561 →
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