Analysis of professional-client interactions

• US 9,786,274 B2
• Filed: 06/11/2015
• Issued: 10/10/2017
• Est. Priority Date: 06/11/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Carbonell, Lee A., Cheng, Tsz S., Edgington, Jeffrey L., Mariadoss, Pandian
• Primary Examiner(s): ZHU, RICHARD Z
• Application Number:
  US14/736,661
• Publication Number:
  US 20160365091A1
• Time in Patent Office: 852 Days
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06Q 30/0627 using item specifications
• CPC Class Codes: G10L 15/1807 using prosody or stress
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/197 Probabilistic grammars, e.g. word n-grams
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology
• CPC Class Codes: G10L 2015/228 of application context
• CPC Class Codes: G10L 25/51 for comparison or discrimination
• CPC Class Codes: G10L 25/57 for processing of video signals
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

One or more processors receive recording data of a meeting between a first individual and a second individual. One or more processors analyze the recording data to identify one or more characteristics of the first individual. One or more processors match the one or more characteristics of the first individual to one or more preferences of a third individual.

Claims

1. A method comprising:

receiving, by one or more processors, recording data of a meeting between a doctor and a patient;

analyzing, by the one or more computer processors, the recording data to make one or more determinations;

identifying, by the one or more computer processors, one or more characteristics of the doctor based on the one or more determinations, wherein the one or more characteristics of the doctor comprises that the doctor;

is a good listener, takes time with the patient, is direct, uses complicated language, explains a complicated subject matter in layman terms, is talkative, is loud, and is quiet;

matching, by the one or more processors, the one or more characteristics of the doctor to one or more preferences of an individual seeking one or more doctors;

building, by the one or more processors, a profile of the doctor based on the one or more characteristics;

storing, by the one or more processors, the profile of the doctor in a database;

querying, by the one or more processors, the individual seeking one or more doctors for the one or more preferences of the individual seeking one or more doctors;

searching, by the one or more processors, the database for one or more profiles that provide a match of the one or more preferences of the individual seeking one or more doctors; and

displaying, by the one or more processors, the one or more profiles that match the one or more preferences of the individual seeking one or more doctors.

2. The method of claim 1, wherein the recording data comprises one or both of audio recording data and video recording data, and the recording data is received from one or more recording devices deployed in an environment in which the doctor and the patient are conversing.

3. The method of claim 1, wherein analyzing, by the one or more processors, the recording data further comprises:

extracting, by the one or more processors, information from the subset of the recorded data through the use of one or more of the following;

speech recognition, named-entity-recognition (NER), part-of-speech tagging, and parsing text strings into component parts of speech;

identifying, by the one or more processors, content from the extracted information from the subset of the recorded data, wherein the identified content is indicative of one or more characteristics of the doctor;

analyzing, by the one or more computer processors, the identified content to determine one or more of;

an amount of time spent in the meeting, an amount of time the doctor spoke, an amount of time the patient spoke, a conversational tone, a word content, a word context, a voice intonation, a voice cadence, a voice lilt, a voice inflection, a voice volume, a body language, and a facial expression; and

identifying, by the one or more computer processors, the one or more characteristics of the doctor based on the one or more determinations.

4. A computer program product comprising:

one or more computer-readable storage media and program instructions stored on at least one of the one or more computer-readable storage media, the program instructions comprising;

program instructions to receive recording data of a meeting between a doctor and a patient;

program instructions to analyze the recording data to make one or more determinations;

program instructions to identify one or more characteristics of the doctor based on the one or more determinations, wherein the one or more characteristics of the doctor comprises that the doctor;

is a good listener, takes time with the patient, is direct, uses complicated language, explains a complicated subject matter in layman terms, is talkative, is loud, and is quiet;

program instructions to match the one or more characteristics of the doctor to one or more preferences of an individual seeking one or more doctors;

program instructions to build a profile of the doctor based on the one or more characteristics;

program instructions to store the profile, of the doctor in a database;

program instructions to query the individual seeking one or more doctors for the one or more preferences of the individual seeking one or more doctors;

program instructions to search the database for one or more profiles that provide a match of the one or more preferences of the individual seeking one or more doctors; and

program instructions to display the one or more profiles that match the one or more preferences of the individual seeking one or more doctors.

5. The computer program product of claim 4, wherein the recording data comprises one or both of audio recording data and video recording data, and the recording data is received from one or more recording devices deployed in an environment in which the doctor and the patient are conversing.

6. The computer program product of claim 4, wherein program instructions to analyze the recording data further comprises:

program instructions to extract information from the subset of the recorded data through the use of one or more of the following;

speech recognition, named-entity-recognition (NER), part-of-speech tagging, and parsing text strings into component parts of speech;

program instructions to identify content from the extracted information from the subset of the recorded data, wherein the identified content is indicative of one or more characteristics of the doctor;

program instructions to analyze the identified content to determine one or more of;

an amount of time spent in the meeting, an amount of time the doctor spoke, an amount of time the patient spoke, a conversational tone, a word content, a word context, a voice intonation, a voice cadence, a voice lilt, a voice inflection, a voice volume, a body language, and a facial expression; and

program instructions to identify the one or more characteristics of the doctor based on the one or more determinations.

7. A computer system comprising:

one or more computer processors;

one or more computer-readable storage media; and

program instructions stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising;

program instructions to receive recording data of a meeting between a doctor and a patient

program instructions to analyze the recording data to make one or more determinations;

program instructions to identify one or more characteristics of the doctor based on the one or more determinations, wherein the one or more characteristics of the doctor comprises that the doctor;

is a good listener, takes time with the patient, is direct, uses complicated language, explains a complicated subject matter in layman terms, is talkative, is loud, and is quiet;

program instructions to match the one or more characteristics of the doctor to one or more preferences of an individual seeking one or more doctors;

program instructions to build a profile of the doctor based on the one or more characteristics;

program instructions to store the profile of the doctor in a database;

program instructions to query the individual seeking one or more doctors for the one or more preferences of the individual seeking one or more doctors;

program instructions to search the database for one or more profiles that provide a match of the one or more preferences of the individual seeking one or more doctors; and

program instructions to display the one or more profiles that match the one or more preferences of the individual seeking one or more doctors.

8. The computer system of claim 7, wherein the recording data comprises one or both of audio recording data and video recording data, and the recording data is received from one or more recording devices deployed in an environment in which the doctor and the patient are conversing.

9. The computer system of claim 7, wherein program instructions to analyze the recording data further comprises:

program instructions to extract information from the subset of the recorded data through the use of one or more of the following;

speech recognition, named-entity-recognition (NER), part-of-speech tagging, and parsing text strings into component parts of speech;

program instructions to identify content from the extracted information from the subset of the recorded data, wherein the identified content is indicative of one or more characteristics of the doctor;

program instructions to analyze the identified content to determine one or more of;

an amount of time spent in the meeting, an amount of time the doctor spoke, an amount of time the patient spoke, a conversational tone, a word content, a word context, a voice intonation, a voice cadence, a voice lilt, a voice inflection, a voice volume, a body language, and a facial expression; and

program instructions to identify the one or more characteristics of the doctor based on the one or more determinations.