JP6402345B1 - Instruction support system, instruction support method and instruction support program - Google Patents

Abstract

【Task】
Provide a guidance support system that can appropriately support guidance in consideration of the reaction of the instructor to guidance.
[Solution]
The guidance support system includes the information recognition unit 312 that recognizes information from the target instructor U1 and the willingness of the instructor U1 to be predicted by the guidance reaction prediction unit 311 with respect to the information J1 from the instructor U1. And the guidance assistance information search part 313 which searches the guidance assistance information J21-J23 in which one or both of action and one or both of predetermined | prescribed motivation and predetermined | prescribed action become, and the output part 240 for the searched guidance assistance information And an output control unit 210 to be output to 270.
[Selection] Figure 8

Description

  The present invention relates to a guidance support system, a guidance support method, and a guidance support program.

  Conventionally, a long-term management system using a computer for a patient's disease is known (see, for example, Patent Document 1).

  The system of patent document 1 evaluates a patient's treatment after evaluating a patient's health condition, and performs adjustment. The system will review the patient's current therapy based on the patient's physical condition and adjust various parameters of the therapy, such as adjusting the dosage regimen, in order to maximize the outcome of the treatment and minimize side effects. Monitor the effects of these changes.

JP 2008-210399 A

  When a patient's behavior has a greater influence on the disease than a specific therapy, such as a lifestyle-related disease, it is important to give guidance in consideration of the patient's response to guidance such as patient motivation or behavior. Depending on the method of instruction, the patient may be better off following the instruction, or the patient may have an adverse effect on the disease without following the instruction. However, the technique described in Patent Document 1 is limited to the adjustment of therapy such as the adjustment of the prescription amount of medication based on the physical condition of the patient, and does not consider the method of instruction taking into account the patient's response to the instruction.

  In view of such a problem, an object of the present invention is to provide a guidance support system, a guidance support method, and a guidance support program that can appropriately support guidance in consideration of the response of the instructor to guidance. .

The teaching support system of the present invention is
An instructor terminal having an output unit for outputting information and configured to be able to make online calls with the instructor terminal ;
Work on guidance based on guidance assistance information that indicates at least how to teach, information on at least one or both of past willingness to work on guidance of the trainee and past behavior in accordance with the guidance of the trainee. wherein a guidance reaction prediction unit for predicting one or both actions of the object to be leaders in accordance with the desire及beauty guidance of the leader,
An information recognition unit for recognizing information indicating at least one or both of past willingness to tackle guidance of a subject instructor who uses the instructed terminal and past behavior according to guidance of the subject instructor ; ,
The guidance response to information indicating at least one or both of the past willingness to tackle the guidance of the subject instructor recognized by the information recognition unit and the past behavior according to the guidance of the subject instructor. A guidance auxiliary information search unit for searching for the guidance auxiliary information such that one or both of the will and behavior of the target trainee predicted by the prediction unit become one or both of the predetermined will and the predetermined behavior;
Wherein when online conversation with the leader terminal, characterized in that it comprises an output control unit to output the guidance auxiliary information the is searched to the output portion of the leader terminal.

According to the guidance support system of the present invention, the guidance response prediction unit includes guidance assistance information indicating at least a guidance method, past willingness to tackle the guidance of the trainee, and past behavior according to the guidance of the trainee. Based on the information indicating at least one or both of the above, one or both of the will of the instructor who is engaged in instruction and the behavior of the instructor according to the instruction are predicted.
In addition, the guidance auxiliary information search unit at least one or both of the past willingness to tackle the guidance of the target instructor recognized by the information recognition unit and the past behavior according to the guidance of the target instructor The guidance assistance information is searched for such that one or both of the motivation and behavior of the target instructor predicted by the guidance response prediction unit is one or both of the predetermined motivation and the predetermined behavior with respect to the information shown To do.
When the patient's behavior has a greater impact on the disease than with a specific therapy, such as lifestyle-related diseases, it is important to give guidance in consideration of the patient's response to guidance on patient motivation or behavior, etc. “Patients who are engaged in guidance based on information indicating at least one or both of past willingness to work on guidance of the instructor and past behavior according to guidance of the instructed person” Predict one or both of the behavior of the instructor ”and“ one or both of the will and behavior of the target instructor predicted by the guidance response prediction unit is one or both of the predetermined will and the predetermined behavior ” By searching for the above-mentioned guidance assistance information to become “the guidance can be appropriately supported in consideration of the response of the trainee to the guidance.

And the instruction | indication support system of the said structure is provided with "the leader terminal which has the output part which outputs information, and was comprised so that online communication with the to-be-instructed terminal" was possible.
In addition, the guidance support system having the above configuration causes “the guidance assistance information searched by the guidance assistance information search unit to be output to the output unit of the leader terminal during the online call with the instructor terminal”.
In order to make the willingness of the instructor who is engaged in instruction or the behavior of the instructor after instruction in the system configured to be able to communicate online with the instructor terminal, how to instruct the instructor (Matters related to how to convey contents such as voice tone or facial expression) are important. “Guidance assistance that shows at least the guidance method searched by the guidance assistance information search unit during online communication with the instructor terminal” By outputting the information to the output unit of the instructor terminal, it is possible to appropriately support the instruction in consideration of the instruction by the instructor.

  Thereby, guidance can be appropriately supported in consideration of the will and behavior of the target trainee predicted by the guidance response prediction unit.

In the guidance support system of the present invention,
One or both of the method of guidance actually conducted, the past willingness to work on the guidance of the instructor who actually received the instruction, and the past action according to the instruction of the instructor who actually received the instruction A real information recognition unit that recognizes at least information and one or both of the willingness and behavior of the instructor after the guidance,
The leadership reaction prediction unit, said a manner of guidance actually conducted recognized by the real information recognizing unit, actually received historical willingness and the guidance to address guidance of the leader actually received the guidance It is configured to perform prediction learning using information indicating at least one or both of past actions according to the instruction of the instructor and one or both of the willingness and action of the instructor after the instruction. Preferably it is.

According to the guidance support system of the present invention, the actual information recognizing unit actually performs the teaching method actually performed, the past willingness to tackle the guidance of the instructor who has actually performed the guidance, and the guidance. Information indicating at least one or both of past actions according to the guidance of the received trainee and one or both of the willingness and behavior of the trainee when receiving the guidance are recognized.

The guidance response prediction unit recognizes one of the recognized guidance method actually performed, the reaction information of the trainee who actually performed the guidance, and the willingness and behavior of the trainee after the guidance. Alternatively, prediction learning is performed using both.

  By repeating the learning, the willingness of the target instructor and the prediction accuracy of the behavior by the guidance reaction prediction unit are improved.

  Thus, guidance can be supported more appropriately by providing guidance support in consideration of the will and behavior of the target trainee whose prediction accuracy has been improved.

In the relevant guidance support system,
A trainee terminal comprising a trainee terminal input unit that receives input by the trainee, a trainee terminal communication unit that performs communication, and a trainee terminal output unit that outputs information,
A leader terminal input unit that receives input by a leader, a leader terminal communication unit that performs communication, and a leader terminal that includes a leader terminal output unit that outputs information,
The instructor terminal and the instructor terminal are configured to support remote instruction to the instructor by the instructor by communicating with each other via each communication unit,
The actual information recognizing unit, based on the information input at the time of the remote instruction in one or both of the instructed terminal input unit and the instructor terminal input unit , how to perform the instruction and the instruction Information indicating at least one or both of past willingness to work on the guidance of the trainee actually received and past behavior according to the guidance of the trainee who actually received the guidance, and the trainee after the guidance It is preferable to be configured to recognize one or both of motivation and behavior.

According to the guidance support system of the said structure, the real information recognition part actually performed based on the information input in the case of remote guidance in one or both of a to-be-trained terminal input part and a leader terminal input part and how guidance and information at least indicating one or both of the past behavior in accordance with the teaching of the prior motivation and the leader actually received the instruction to address a guidance of the leader actually received the guidance It is configured to recognize one or both of the motivation and behavior of the trainee after the guidance.

And, by the guidance response prediction unit, the actual guidance method recognized by the real information recognition unit , the past willingness to tackle the guidance of the trainee who actually received the guidance, and the guidance actually Prediction learning is performed by using information indicating at least one or both of past actions according to the instruction of the received instructor and one or both of the willingness and action of the instructor after the instruction.

  As a result, learning is performed by utilizing the information acquired during actual remote instruction, so that the accuracy of learning can be improved and the workload of the instructor or instructor learning regarding information collection can be reduced. Can be planned.

In the relevant guidance support system,
The actual information recognizing unit, based on the information input in the remote instruction in the instructed terminal input unit, the past willingness to tackle the instruction of the instructor who actually received the instruction and the instruction actually It is configured to recognize information indicating at least one or both of the past actions according to the instruction of the instructor who received the instruction and one or both of the willingness and action of the instructor after the instruction. Is preferred.

According to the guidance support system of the said structure, when it is guessed that the information input in the instructor terminal input part is the information input by the instructor, in the remote instruction in the instructor terminal input part Based on the input information, the past willingness to tackle the guidance of the instructor who actually received the instruction by the actual information recognition unit and the past behavior according to the instruction of the instructor who actually received the instruction Information indicating at least one or both, and one or both of the willingness and behavior of the trainee after the guidance are recognized.

  Thereby, since the information derived from the instructor can be distinguished from the information derived from the instructor and the prediction can be learned, the accuracy of the prediction can be improved.

In the relevant guidance support system,
It is preferable that the real information recognition unit is configured to recognize a method of actual guidance based on information input at the time of the remote guidance in the leader terminal input unit.

According to the guidance support system of the said structure, when it is guessed that the information input in the leader terminal input part is the information which the leader input, it was input in the leader terminal input part at the time of the said remote guidance Based on the information, the actual information recognition information unit recognizes the way of instruction actually performed.

  Thereby, since the information derived from the leader can be distinguished from the information derived from the trainee and learning for prediction can be performed, the accuracy of prediction can be improved.

In the relevant guidance support system,
The actual information recognizing unit is an instruction method actually performed based on one or both of the voice information of the leader and the image showing the facial expression of the leader input at the time of remote guidance in the leader terminal input unit. It is preferable that it is comprised so that it may recognize.

  According to the guidance support system of the said structure, it is guessed that the information input in the leader terminal input part is the information input by the leader, but guidance that is presumed to strongly influence the will of the trainee One or both of the voice information of the person or the image showing the instructor's facial expression can be learned after being distinguished from the image showing the instructor's voice or facial expression, thus improving the accuracy of the prediction be able to.

In the guidance support system of the present invention,
The instruction response prediction unit is configured to provide the instructor's willingness to tackle the instruction of the instructor based on at least the instruction assistance information indicating the instruction method and the instructor's health condition information indicating the instructor's health condition. And in addition to one or both of the behaviors of the instructor according to the instruction of the instructor, configured to predict a change in the health status of the instructor before and after the instruction,
The guidance auxiliary information search unit is one of the motivation and behavior of the target trainee predicted by the guidance response prediction unit with respect to the response information of the target trainee recognized by the information recognition unit or The instruction in which both become one or both of a predetermined will and a predetermined action, and a change in the health condition of the instructor before and after the instruction predicted by the instruction response prediction unit is a predetermined change. It is preferably configured to search for auxiliary information.

  According to the guidance support system of the said structure, prediction of the change of a health condition of a to-be-led person is further considered, and guidance assistance information is searched. As a result, in addition to the willingness and behavior of the subject instructor, guidance is supported in consideration of changes in the health status of the instructor.

The whole block diagram of an example of a guidance assistance system. The figure which shows the example of the information memorize | stored in the 1st element memory | storage part. The figure which shows the example of the information memorize | stored in the 2nd element memory | storage part. The figure which shows the example of the information memorize | stored in the to-be-leader information storage part. 3A is a diagram showing an example of information stored in the questionnaire storage unit, FIG. 3B is a diagram showing an example of information stored in the questionnaire response storage unit, and FIG. 3C is accumulated in the history storage unit The figure which shows the example of information. The flowchart of a guidance assistance process. The flowchart of guidance pre-processing. The flowchart of the process at the time of instruction | indication. Explanatory drawing of the process which obtains the evaluation value by the evaluation part using the prediction by a prediction part. Explanatory drawing of the search of the optimal instruction | indication assistance information using the evaluation value by an evaluation part. The figure which shows an example of the screen containing the element of the selected instruction | indication output on the touch panel of a leader terminal. The flowchart of a guidance post-process. The flowchart of a reference | standard update process.

The guidance support system of the present invention will be described with reference to FIGS.

(Teaching support system)
The guidance support system is a system that supports guidance for the trainee by the leader.

  As shown in FIG. 1, the instruction support system includes one or more instructor terminals 100, one or more instructor terminals 200, and an instruction support server 300. The one or more instructor terminals 100, the one or more instructor terminals 200, and the instruction support server 300 are configured to be able to communicate with each other via a network such as the Internet. In FIG. 1, one instructor terminal 100 and one instructor terminal 200 are illustrated.

(Leader terminal)
The instructor terminal 100 includes an instructor terminal control unit 110, an instructor terminal storage unit 120, an instructor terminal communication unit 130, a touch panel 140, a camera 150, a microphone 160, and a speaker 170. Prepare. Each of the touch panel 140, the camera 150, and the microphone 160 corresponds to an example of the “instructor terminal input unit” of the present invention. In addition, each of the touch panel 140 and the speaker 170 corresponds to an example of the “instructed terminal output unit” of the present invention.

  The trainee terminal 100 is configured by a computer whose size, shape, and weight are designed to be portable by the trainee U1 who is the user of the trainee terminal 100, such as a tablet terminal or a smartphone. . The instructor terminal 100 may be configured by a computer whose size, shape, and weight are designed to be installed at a specific location, such as a desktop computer.

  The instructed terminal control unit 110 has an instructed support program downloaded from the instructing support server 300 installed. When the instructed support program is started, the instructed terminal control unit 110 is configured to execute arithmetic processing described later.

  The trainee terminal storage unit 120 stores the trainee ID of the trainee U1 who is the user of the trainee terminal 100. The instructor U1 is, for example, a person who has received a chronic medical treatment or a remote nutrition management instruction for suffering from a chronic disease such as a lifestyle-related disease or for the prevention of a chronic disease. The trainee U1 corresponds to the “target trainee” of the present invention.

  The trainee terminal communication unit 130 is configured to communicate with an external terminal such as the guidance support server 300 via wired communication or wireless communication according to a communication standard such as WiFi (registered trademark).

  The wearable sensor W is configured to be worn by the trainee U1. The wearable sensor W recognizes the biological information or behavior information of the instructor U1 or the wearing state of the wearable sensor W, and transmits the information to the instruction support server 300 periodically or according to the operation of the instructor U1. It is configured.

  Note that one device “recognizes” information means that one device receives the information from another device, and one device stores information stored in a storage medium connected to the one device. Reading, one device acquiring information based on a signal output from a sensor connected to the one device, one device acquiring from received information or information or sensor stored in a storage medium Based on the obtained information, a predetermined calculation process (calculation process or search process) is performed to derive the information, and one apparatus uses the information as a calculation process result of the other apparatus as the other apparatus. Means that any arithmetic processing for acquiring the information is executed, such as reading the information from the internal storage device or the external storage device in accordance with the received signal.

  The biological information of the instructor U1 is, for example, the blood pressure, heart rate, respiratory rate, body temperature, weight, and height of the instructor U1.

  The behavior information of the instructor U1 is, for example, the sleep time of the instructor U1, the number of steps of the instructor U1, the time that the instructor U1 walked, and the time that the instructor U1 ran.

  The wearable sensor W has an individual communication unit, and may transmit biometric information to the instruction support server 300 via the communication unit. Instead, for example, the wearable sensor W may be connected to the instructor terminal 100 by USB or the like. The biometric information may be transmitted to the guidance support server 300 via the instructed terminal communication unit 130.

  A touch panel 140 is configured by combining a display device such as a liquid crystal panel and a position input device such as a touch pad. In addition to or instead of this, the instructor terminal 100 may include an input device such as a keyboard and a mouse, and a display device configured separately from the input device.

  The camera 150 is arranged on the surface where the touch panel 140 of the instructor terminal 100 is provided. Alternatively or additionally, a camera may be provided on a different surface from the touch panel 140 of the instructor terminal 100.

  The microphone 160 is arranged on the instructor terminal 100 so that the voice of the user of the instructor terminal 100 can be collected.

  The speaker 170 is disposed at an appropriate location on the instructor terminal 100.

(Leader terminal)
The leader terminal 200 includes a leader terminal control unit 210, a leader terminal storage unit 220, a leader terminal communication unit 230, a touch panel 240, a camera 250, a microphone 260, and a speaker 270. The leader terminal control unit 210 corresponds to the “output control unit” of the present invention. Each of the touch panel 240 and the speaker 270 corresponds to an “output unit” of the present invention. In addition, each of the touch panel 240, the camera 250, and the microphone 260 corresponds to an example of the “leader terminal input unit” of the present invention. In addition, each of the touch panel 240 and the speaker 270 corresponds to an example of the “instructor terminal output unit” of the present invention.

  The instructor terminal 200 is configured by a computer such as a desktop computer whose size, shape, and weight are designed so as to be installed at a specific location. The leader terminal 200 may be configured by a computer whose size, shape, and weight are designed so as to be portable by the leader U2 who is a user of the leader terminal 200, such as a tablet terminal or a smartphone. The instructor U2 is a person who provides medical or health management instruction to the instructor U1 such as a doctor, a dentist, a nurse, or a nutrition manager.

  The instructor terminal control unit 210 includes an arithmetic processing unit such as a CPU, a memory, an I / O device, and the like. The instructor terminal control unit 210 is installed with a telemedicine support program downloaded from the instruction support server 300. When the remote medical care support program is activated, the instructor terminal control unit 210 is configured to execute arithmetic processing described later.

  The leader terminal storage unit 220 is configured by a storage device such as a ROM, a RAM, and an HDD, for example. The leader terminal storage unit 220 is configured to store a leader ID of the leader U2 registered in advance.

  The instructor terminal communication unit 230 is configured to communicate with an external terminal such as the instruction support server 300 via wired communication or wireless communication in accordance with a communication standard such as WiFi (registered trademark).

  A touch panel 240 is configured by combining a display device such as a liquid crystal panel and a position input device such as a touch pad. In addition to or instead of this, the instructor terminal 200 may include an input device such as a keyboard and a mouse, and a display device configured separately from the input device.

  The camera 250 is arranged on the side where the touch panel 240 of the instructor terminal 200 is provided. Alternatively or additionally, a camera may be provided on a different surface from the touch panel 240 of the instructor terminal 200.

  The microphone 260 is arranged on the instructor terminal 200 so as to collect the voice of the user of the instructor terminal 200.

  The speaker 270 is disposed at an appropriate location on the instructor terminal 200.

(Teaching support server)
The guidance support server 300 includes a server control unit 310, a server storage unit 320, and a server communication unit 330. A part or all of the computer constituting the guidance support server 300 may be configured by another terminal, for example, a computer constituting the leader terminal 200. For example, a part or all of the guidance support server 300 may be configured by one or a plurality of leader terminals 200 as mobile stations.

  The server control unit 310 includes an arithmetic processing unit such as a CPU (Central Processing Unit), a memory, an I / O (Input / Output) device, and the like. The server control unit 310 may be configured by a single processor, or may be configured by a plurality of processors that can communicate with each other.

  The server control unit 310 functions as a guidance reaction prediction unit 311, an information recognition unit 312, a guidance auxiliary information search unit 313, and an evaluation unit 314 that execute arithmetic processing described later by reading and executing a predetermined program.

  The server storage unit 320 includes a storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), and an HDD (Hard Disk Drive). The server storage unit 320 is configured to store the calculation result of the server control unit 310 or the data received by the server control unit 310 via the server communication unit 330.

  The server storage unit 320 includes a first element storage unit 321, a second element storage unit 322, a trainee information storage unit 323, a questionnaire storage unit 324, a questionnaire response storage unit 325, and a history storage unit 326.

  As shown in FIG. 2A, the first element storage unit 321 includes a first element ID, a guidance target disease, a guidance target reference value, a guidance goal, a guidance problem, a cause of the disease, a reason for hindering the goal, and guidance. One or more combinations of elements relating to the content of the guidance or the guidance method, such as the category, the guidance policy, the concrete explanation of the guidance, the tone of the voice of the leader U1, and the facial expression of the leader U1, are stored. Hereinafter, this combination is appropriately referred to as “first combination”, and each element included in this combination is appropriately referred to as “first element”. In this specification, the contents of the instruction to be communicated to the instructor such as the disease to be instructed, the reference value for the instruction, the goal of the instruction, the problem of the instruction, the cause of the disease, the reason for obstructing the goal, the instruction category or the instruction policy It is said that guidance on matters related to how to convey content such as voice tone or facial expression. In addition, some elements such as specific explanations of instruction may have both the nature of instruction contents and the method of instruction.

  As a specific explanation of the guidance, explaining that the cause of the disease is “there is a lot of take-out of bento”, for example, "It is also good to get used to." An explanation of the measure to get used to the light taste and "You can finish a dish that does not feel unsatisfactory by applying spices and sourness." An explanation of a measure different from the measure used to taste can be adopted.

  In addition, as a specific explanation of the instruction, although not shown in FIG. 2A, an example of instruction on exercise habits is as follows: “If you wear such exercise habits, even after reaching retirement age, "You can enjoy your hobbies and leisure." An explanation explaining the benefits of the instructor U1 in the case of acquiring exercise habits according to the guidance, "Without wearing such exercise habits now If you stay there, you will have difficulty walking, bedridden, and the risk of dying from arteriosclerosis is high. "Explains the disadvantages of the instructor U1 when he does not follow the guidance and fails to acquire exercise habits An explanatory note can be adopted. These explanations are, for example, “If you wear such exercise habits, you can enjoy your hobbies and leisure even after retirement.” “If you have been exercising so much, Even if you repeat, you can walk younger and spend your daily life without any problems. ”“ It seems that you can forgive yourself even if you drink too much by exercising. ”“ If you do not exercise too much, your muscles will fall and your bones will be brittle. “It ’s easier to get injured.” “If you do n’t wear these exercise habits, you ’ll have difficulty walking, bedridden, and a higher risk of dying from arteriosclerosis.” An explanatory note in which the degree of disadvantage is changed in stages can be adopted.

  Moreover, even if the content of instruction is the same, the explanatory text in which the wording is changed can be recognized as a different explanatory text.

  As shown in FIG. 2B, the second element storage unit 322 is a combination of elements relating to instruction different from the first element, such as the second element ID, the gender of the instructor U2, the age of the instructor U2, and the instruction interval. Multiple items are stored. Hereinafter, this combination is appropriately referred to as “second combination”, and each element included in this combination is appropriately referred to as “second element”. The first element and the second element are collectively referred to as “guidance elements” as appropriate.

  As shown in FIG. 2C, the instructor information storage unit 323 has the instructor ID, the name of the instructor U1, the gender of the instructor U1, the lifestyle of the instructor U1, the age of the instructor U1. In addition, information derived from the instructor U1 such as biological information such as the disease of the instructor U1 and the latest blood pressure of the instructor U1 is stored.

  As shown in FIG. 3A, the questionnaire storage unit 324 stores a questionnaire ID, a questionnaire category, a question, and a criterion for each level (in FIG. 3A, level 5, level 3, and level 1 are illustrated). Questionnaire categories can include exercise habits, eating habits, illness, physical condition, mental state, motivation, qualities, external environment, skills, past experience, and the like.

  As shown in FIG. 3B, the questionnaire response storage unit 325 stores the instructor ID, the questionnaire response date and time, the questionnaire ID, and the answered level.

  As shown in FIG. 3C, the history storage unit 326 includes the date and time, the instructor ID, the first element ID, the second element ID, the facial expression of the instructor U1, the tone of the instructor U1, the instructor The information regarding the guidance acquired at the time of guidance, such as the action of U1, the intention level of the trainee U1, the result of guidance, and before and after guidance is stored.

  The server storage unit 320 may further store data related to the receipt data of the instructor U1 and the result of the health check of the instructor U1. These data can be recognized by receiving the data from an external terminal such as a hospital or a health insurance association via the server communication unit 330, or reading the data from a storage medium such as a USB memory, a CD, or a DVD.

  The server storage unit 320 may store history information on guidance related to preventive medicine for preventing or preventing the progression of lifestyle-related diseases received from the leader terminal 200 via the server communication unit 330. The history information of treatment for making the lifestyle condition of the lifestyle-related disease received from the instructor terminal 200 via the server communication unit 330 in a pleasant manner may be stored.

  The server communication unit 330 is connected to a public communication network (for example, the Internet) as a network, and includes a communication device that communicates with external terminals such as the instructor terminal 100 and the instructor terminal 200.

(Overview of guidance support processing)
With reference to FIG. 4, the outline | summary of a guidance assistance process is demonstrated.

  First, the instructor terminal 100, the instructor terminal 200, and the instruction support server 300 execute instruction pre-processing by transmitting and receiving data to and from each other via communication (FIG. 4 / STEP 100). Details of the pre-guidance processing will be described later.

  Then, the instructor terminal 100, the instructor terminal 200, and the instruction support server 300 execute instruction processing by transmitting and receiving data to and from each other via communication (FIG. 4 / STEP 200). Details of the guidance process will be described later.

  The instructor terminal 100 and the instruction support server 300 perform post-instruction processing by transmitting and receiving data to and from each other via communication (FIG. 4 / STEP 300). Details of the post-guidance processing will be described later.

  The guidance support server 300 executes the reference update process based on the data obtained in FIG. 4 / STEP 100 to STEP 300 (FIG. 4 / STEP 400). Details of the reference update process will be described later.

(Pre-guidance processing)
Next, with reference to FIG. 5, the details of the pre-guidance process of FIG. 4 / STEP 100 will be described. In addition, the guidance support server 300 is based on reservation information (not shown), etc., the instructor's terminal 100 and the instructor ID of the instructor U1 who is instructed on the day of this processing, and the instructor of the instructor U2 who provides the instruction. The terminal 200 and the leader ID are specified.

  The information recognition unit 312 reads the questionnaire information from the questionnaire storage unit 324 (FIG. 5 / STEP 162). The information recognition unit 312 transmits the read questionnaire information to the instructed terminal 100 via the server communication unit 330 (FIG. 5 / STEP 164).

  The questionnaire information includes, for example, information asking about willingness to work on guidance, information asking whether or not the action pointed out in the previous guidance was performed, the recent lifestyle (exercise habits, eating habits) of the instructor U1, Includes information on physical condition, mental state, external environment, skills, and past experiences. The information asking the recent physical condition may be, for example, information asking the subjective health of the instructor U1 such as whether he / she thinks he is healthy, or objective information of the instructor U1 such as blood pressure. It may be information asking for health status.

  The instructor terminal control unit 110 determines whether or not the questionnaire information has been received via the instructor terminal communication unit 130 (FIG. 5 / STEP 122). When the determination result is negative (FIG. 5 / STEP 122... NO), the instructor terminal control unit 110 executes the process of FIG.

  When the determination result is affirmative (FIG. 5 / STEP 122... YES), the instructor terminal control unit 110 outputs a questionnaire screen including the received questionnaire information to the touch panel 140 (FIG. 5 / STEP 124). The questionnaire screen includes, for example, an input form (for example, a slide bar) related to VAS (Visual Analogue Scale).

  The trainee terminal control unit 110 recognizes the answer to the questionnaire through the touch panel 140 (FIG. 5 / STEP 126).

  The trainee terminal control unit 110 transmits the questionnaire response recognized via the trainee terminal communication unit 130 to the guidance support server 300 together with the survey ID and the trainee ID stored in the trainee terminal storage unit 120. (FIG. 5 / STEP 128).

  The information recognition unit 312 determines whether or not a questionnaire response has been received via the server communication unit 330 (FIG. 5 / STEP 166). If the determination result is negative (FIG. 5 / STEP 166... NO), the information recognition unit 312 executes the process of FIG. 5 / STEP 166.

  If the determination result is affirmative (FIG. 5 / STEP 166... YES), the information recognition unit 312 stores the received questionnaire response in the questionnaire response storage unit 325 (FIG. 5 / STEP 168).

  In addition, the information recognition unit 312 determines the degree of willingness of the instructor U1 to accept the instruction with respect to the previous instruction based on the answer of the questionnaire, the presence or absence of the action of the instructor U1, the instructor's U1. The health condition is recognized (FIG. 5 / STEP 170). For example, the information recognizing unit 312 includes a parameter indicating the degree of willingness to tackle the previous instruction specified on the questionnaire screen, a parameter indicating whether or not the action indicated in the previous instruction has been performed, a recent health condition (for example, It recognizes parameters indicating the instructor U1's subjective view of health, physical condition or mental state.

  The information recognizing unit 312 updates the history information stored in the history storage unit 326 based on the recognized degree of motivation of the instructed person U1, the presence or absence of the instructed person U1, and the health state of the instructed person U1 ( FIG. 5 / STEP 172). The information recognizing unit 312 updates the information of the record with the latest date (in other words, the record related to the previous instruction) among the records including the instructor ID of the instructor U1 in the history information.

  Also, the leader terminal control unit 210 executes online call processing with the leader terminal 100 via the leader terminal communication unit 230 (FIG. 5 / STEP 142).

  And the leader terminal control part 210 recognizes the hearing information input via the touch panel 240 (FIG. 5 / STEP 144), and transmits the recognized hearing information to the guidance support server 300 via the leader terminal communication part 230. (FIG. 5 / STEP 146).

  The hearing information is information heard from the instructor U1 by the instructor U2, and for example, whether the instructor U1 has performed the degree of motivation of the instructor U1 for instruction and the behavior indicated in the instruction. (Or a value expressed as a numerical value of 0 to 100), recent life habits of the instructor U1, the subjective health view of the instructor U1, the physical condition or disease of the instructor U1 (For example, the latest blood pressure value). In the case of the first time, the hearing information may include the name of the instructor U1, the gender of the instructor U1, the date of birth (or age) of the instructor U1, and the like. The leader terminal control unit 210 may output a screen for inputting these items to the touch panel 240. In addition, the leader U2 is not limited to hearing from the instructor U1 directly via the leader terminal 200, and the assistant of the leader U2 uses a terminal separate from the leader terminal 200 or the leader terminal 200. You may hear from the instructor U1.

  In addition to or instead of this, the guidance support server 300 indicates the intention of the instructor U1 to the instruction, the state of the disease of the instructor U1, and the instruction based on the information received from the instructor terminal 200 or the like. Information that inquires whether or not the instructed person U1 has performed the action may be transmitted to the instructed terminal 100, and a screen that prompts input of the information may be output to the instructed terminal 100. In this case, the input information is transmitted to the instructor terminal 200 or the instruction support server 300 via the instructor terminal 100.

  The information recognition unit 312 determines whether or not hearing information has been received via the server communication unit 330 (FIG. 5 / STEP 174). If the determination result is negative (FIG. 5 / STEP 174... NO), the information recognition unit 312 executes the process of FIG. 5 / STEP 174.

  If the determination result is affirmative (FIG. 5 / STEP 174... YES), the information recognition unit 312 updates the instructor information stored in the instructor information storage unit 323 based on the received hearing information. (FIG. 5 / STEP 176).

  In addition, the information recognition unit 312 determines whether or not the instructor U1 has performed the willingness of the instructor U1 with respect to the guidance included in the received hearing information and the behavior indicated in the guidance (or the rate of execution is 0-100). The history information stored in the history storage unit 326 is updated based on the latest biological information and the like (FIG. 5 / STEP178). The information recognizing unit 312 updates the information of the record with the latest date (in other words, the record related to the previous instruction) among the records including the instructor ID of the instructor U1 in the history information.

(Processing during instruction)
Next, the guidance process will be described with reference to FIGS. In addition, the guidance support server 300 is based on reservation information (not shown), etc., the instructor's terminal 100 and the instructor ID of the instructor U1 who is instructed on the day of this processing, and the instructor of the instructor U2 who provides the instruction. The terminal 200 and the leader ID are specified.

  The information recognizing unit 312 refers to the instructor information storage unit 323, the questionnaire response storage unit 325, and the history storage unit 326 based on the instructor ID, a parameter indicating the willingness of the instructor U1 who is engaged in instruction, Information indicating whether or not the instructor U1 has followed the previous instruction, such as the number of steps, and information including instructor health status information of the instructor U1 are recognized (FIG. 6 / STEP 262). The instructor's health status information is information representing the health status of the instructor U1. For example, the previous medical results such as the disease name and dose of the instructor U1, the blood pressure, blood glucose, etc. before the current guidance It is information which shows information, information about the subject's U1 subjective view of health, proportion of preventive medicine, proportion of treatment, and mental state before guidance this time. In addition to the above, the information recognized in FIG. 6 / STEP 262 includes attributes of the instructor U1 such as age, sex, and lifestyle. The information recognized in FIG. 6 / STEP 262 can be represented by a set of parameters indicating the respective information.

  For example, the information recognizing unit 312 includes, for example, the degree of motivation indicated in the answer to the questionnaire acquired in the current instruction preprocessing, the degree of motivation indicated in the hearing information acquired in the current instruction preprocessing, and the previous instruction processing. The parameter indicating the willingness of the instructor U1 who is engaged in the instruction may be recognized based on the facial expression of the instructor U1 acquired in step 1 and the tone of the voice of the instructor U1. When the facial expression of the instructor U1 acquired in the previous guidance process is a predetermined facial expression such as a smile, the information recognition unit 312 shows the will of the instructor U1 more than when the facial expression is not the predetermined facial expression. You may determine the parameter which shows the instructor's U1 motivation so that a parameter may become high. In the case of a predetermined tone such as the voice tone of the instructor U1 acquired in the previous guidance process is higher, the information recognition unit 312 receives the instructor U1 than in the case where the voice tone is not the predetermined tone. The parameter may be determined so that the motivation parameter increases.

  The information recognition unit 312 determines whether or not the previous instruction can be executed directly from the information obtained from the wearable sensor W, such as walking more than steps, and the information recognition unit 312 A parameter indicating whether or not the previous guidance was followed may be recognized based on the information obtained from. In addition to or instead of this, whether or not the information recognition unit 312 has followed the previous guidance according to information on whether or not the user has acted according to the previous guidance included in the hearing information acquired in the current guidance preprocessing. May be recognized. In addition to or instead of these, has the information recognition unit 312 followed the previous guidance according to information regarding whether or not the user has acted according to the previous guidance included in the answer to the questionnaire acquired in the current pre-processing of the guidance? You may recognize the parameter which shows whether.

  Instead of or in addition to these, the information recognition unit 312 may recognize a parameter indicating a time-series change in physical condition of the instructor U1 from information obtained from the wearable sensor W. In addition to or in addition to this, the information recognition unit 312 may recognize a parameter indicating a time-series change in the physical condition of the instructor U1 from the amount of change in the amount of medicine stored in FIG. . In addition to or in addition to the above, the information recognition unit 312 changes the biological information such as the blood pressure of the instructor U1 indicated in the health check data stored in the server storage unit 320 or the medical practice or dispensing indicated in the receipt data. You may recognize the parameter which shows the time-sequential change of the physical condition of the to-be-led | instructed person U1 based on a change of an action or a sick name. Instead of or in addition to these, the information recognition unit 312 may recognize a parameter indicating a time-series change in physical condition of the instructor U1 from information obtained from the wearable sensor W. The information recognizing unit 312 may recognize a parameter indicating a time-series change in the ratio between the preventive medical treatment and the treatment based on the preventive medical history information and the treatment historical information stored in the server storage unit 320. The instructor health information state information may include parameters indicating these changes.

  The information recognition unit 312 may recognize a parameter indicating the cost of preventive medicine and treatment based on the history information of preventive medicine and the history information of treatment stored in the server storage unit 320. Further, the information recognition unit 312 may recognize a parameter indicating the cost of the medicine based on the medicine stored in the server storage unit 320 and the dispensing amount of the medicine. The information recognized in FIG. 6 / STEP 262 may include parameters indicating these costs.

  The information recognized in FIG. 6 / STEP 262 may include the external environment, skills, or past experience of the instructor U1.

  The guidance assistance information search unit 313 searches for guidance assistance information based on the information recognized in FIG. 6 / STEP 262 (FIG. 6 / STEP 264).

  With reference to FIGS. 7 and 8, the details of the process for searching for guidance assistance information will be described.

  The guidance auxiliary information search unit 313 inputs the information J1 recognized in FIG. 6 / STEP 262 (hereinafter referred to as premise information J1) and the guidance auxiliary information J2 to the guidance reaction prediction unit 311, and the guidance reaction prediction unit 311. The prediction information J3 output from is acquired.

  The guidance auxiliary information J2 is information including any one of the first combinations stored in the first element storage unit 321. The guidance auxiliary information J2 may be information including any of the second combinations stored in the second element storage unit 322 instead of or in addition to the first combination. Supplementally, the guidance assistance information J2 is information on matters that can be determined or adjusted by the guidance organization or the leader U2, for example, information on the leader U2, information on timing of guidance, or information on the content or method of guidance. . The instruction assistance information J2 is represented by a set of parameters indicating one or both of each first element and each second element.

  The prediction information J3 is information for predicting the state of the instructor U1 after the current guidance, and predicts the medical results in the next and subsequent guidance such as the disease and the amount of medicine to be dispensed, and the guidance after the current guidance. Prediction of the degree of willingness of the instructor U1, prediction of whether to take action in accordance with the instruction after the current instruction, prediction regarding the subjective health view of the instructor U1 after the current instruction, after the current instruction The information including the prediction of the biological information of the instructor U1 and the prediction of the mental state of the instructor U1 after the current instruction. The prediction information J3 is represented by a set of parameters indicating each prediction.

  In addition, for example, for the input one parameter or the plurality of parameter sets, the guidance response prediction unit 311 sets one parameter or a plurality of parameter sets corresponding to the one parameter or the plurality of parameter sets. It is a discriminator to output.

  This discriminator is obtained by machine learning, for example. This learning method will be described later.

  For example, functions connected to each other by a neural network in deep learning correspond to an example of the guidance reaction prediction unit 311. Also, the support vector machine classifier corresponds to another example of the guidance reaction prediction unit 311.

  In addition, a guidance reaction prediction unit 311 is configured by a plurality of prediction units (in FIG. 7, a first prediction unit 3111, a second prediction unit 3112, a third prediction unit 3113,...) That output different parameters. Also good. More specifically, a parameter indicating the age of the user, a parameter indicating gender,... Included in the premise information J1, a parameter indicating the instruction category, and a parameter indicating the instruction content included in the auxiliary instruction information J2. ,... Is a set of input parameters (hereinafter referred to as input parameter set). These input parameter sets are input to each of the plurality of prediction units (a first prediction unit 3111, a second prediction unit 3112, a third prediction unit 3113,...). Instead, an individual parameter set may be input to each prediction unit. For example, the first prediction unit 3111 outputs a parameter indicating prediction of the degree of motivation of the instructor U1 who is engaged in the guidance after the current guidance. Moreover, the 2nd prediction part 3112 outputs the parameter which shows the prediction whether the to-be-instructed person U1 will take the action instruct | indicated after this instruction | indication, for example. For example, the third prediction unit 3113 outputs a parameter indicating prediction of the subjective health view of the instructor U1 himself after the current guidance. Thus, the guidance reaction prediction unit 311 may be configured to include each prediction unit that outputs different parameters.

  In addition, the parameter which shows the item contained in the guidance assistance information J2 parameterizes each guidance element (For example, if it is guidance content, the guidance which reduces the salt content of the whole meal, or the proposal of the dish using a spice). (For example, 1 is the instruction to reduce the amount of salt in the whole meal, 2 is the suggestion of cooking using spices), or 1 if the instruction is adopted for each instruction element. When guidance is not employed, an individual value such as -1 may be set.

  And guidance auxiliary information search part 313 inputs prediction information J3 into evaluation part 314, and obtains evaluation value V to prediction information J3. The evaluation unit 314 includes a parameter indicating prediction of a diagnosis result in the next and subsequent guidance indicated by the prediction information J3, a parameter indicating prediction of the degree of willingness of the instructor U1 with respect to the guidance after the current guidance, and after the current guidance. A parameter indicating a prediction as to whether or not to take an action according to the guidance, a parameter indicating a prediction regarding the subjective health view of the instructor U1 after the current instruction, and a prediction of the biological information of the instructor U1 after the current instruction Or the parameter indicating the prediction of the mental state of the instructor U1 after the current instruction is a parameter indicating the prediction for making the health state of the instructor U1 more healthy. It is comprised so that it may be set as a high evaluation value intermittently.

  The parameter indicating the prediction of the diagnosis result in the guidance after the next time is a parameter indicating the prediction that makes the health state of the instructor U1 more healthy. For example, the instructor U1 is recovered from the disease. This is a parameter indicating a prediction that the type of medicine to be diagnosed, the kind of medicine to be dispensed will be a light medicine, or the amount or amount of the medicine to be dispensed will be reduced.

  An example in which the parameter indicating the prediction of the degree of motivation of the instructor U1 for the instruction after the current instruction is a parameter indicating the prediction for moving the health state of the instructor U1 toward a healthier state is This is a case where the answer to the questionnaire or the questionnaire acquired before the next instruction is a parameter indicating a prediction that the answer will be a predetermined answer. The predetermined answer is, for example, an answer indicating that the trainee U1 has a high willingness to follow the guidance. In addition to or instead of this, a parameter indicating a prediction of the degree of motivation of the instructor U1 for the instruction after the current instruction indicates a prediction for making the health state of the instructor U1 more healthy. An example of a parameter is a case where a parameter indicating a prediction of an answer to a hearing after the current guidance or a hearing acquired before the next guidance is a parameter indicating a prediction that a predetermined answer is obtained. The predetermined answer is, for example, an answer indicating that the trainee U1 has a high willingness to follow the guidance. The above-mentioned parameter indicating the prediction of the degree of motivation of the instructor U1 for the instruction after the current instruction is “a parameter indicating the prediction for making the health state of the instructor U1 more healthy”. This corresponds to the prediction indicating the “predetermined will” of the invention.

  An example of the case where the parameter indicating whether or not to take an action in accordance with the guidance after the current guidance is a parameter indicating a prediction that causes the health state of the instructor U1 to be in a healthier state is as follows: It is a case where it is a parameter which shows prediction that person U1 will take action according to this guidance. The above-mentioned parameter indicating the prediction of whether or not to take an action in accordance with the guidance after the current guidance is “a parameter indicating the prediction that makes the health state of the instructor U1 more healthy”. This corresponds to prediction indicating “predetermined behavior”.

  An example of the case where the parameter indicating the prediction of the subjective health view of the instructor U1 after the current instruction is a parameter indicating the prediction that makes the health state of the instructor U1 more healthy This is a case in which the subjective health view of the instructor U1 after the guidance is a parameter indicating a prediction that the subject health view falls within the range of the subjective health view that is medically healthy.

  An example of the case where the parameter indicating the prediction of the biometric information of the instructor U1 after the current instruction is a parameter indicating the prediction for making the health state of the instructor U1 move to a healthier state is as follows. Is a parameter indicating a prediction that the biological information of the instructor U1 falls within the range of biological information medically defined as healthy.

  An example of the case where the parameter indicating the prediction of the biometric information of the instructor U1 after the current instruction is a parameter indicating the prediction for making the health state of the instructor U1 move to a healthier state is as follows. The biometric information of the instructor U1 may be a parameter indicating a prediction indicating that it approaches the range of biometric information that is medically determined to be healthy.

  An example of the case where the parameter indicating the prediction of the mental state of the instructor U1 after the current instruction is a parameter indicating the prediction for moving the health state of the instructor U1 toward a healthier state is It is a case where it is a parameter which shows the prediction that the mental state of the to-be-instructed person U1 will become a mental state medically defined as healthy.

  Each of the parameters indicating the prediction of the subjective health view of the instructor U1, the parameter indicating the prediction of the biological information of the instructor U1, and the parameter indicating the prediction of the mental state of the instructor U1 are described above. This corresponds to “Predicting changes in the health status of the instructor”. For each of a parameter indicating prediction of the subjective health view of the instructor U1, a parameter indicating prediction of the biological information of the instructor U1, and a parameter indicating prediction of the mental state of the instructor U1, The “parameter that indicates the prediction that moves the health state toward a healthier state” corresponds to the “predetermined change” of the present invention.

  As for blood pressure, 140/90 or more is high blood pressure, 139-130 / 89-85 is normal hypertension, and 129-120 / 84-80 is normal blood pressure. In view of the above, when the evaluation unit 314 indicates prediction that blood pressure value can be diagnosed as 145/95, for example, the evaluation value is 1, and the predicted blood pressure value is 135/88. Thus, when indicating a prediction that can be diagnosed as normal hypertension, the evaluation value is 2, and when the predicted blood pressure value indicates a prediction that can be diagnosed as normal blood pressure as 125/83, the evaluation value is set to 3. A stepwise evaluation value may be determined according to the state of the predicted matter.

  The evaluation unit 314 may determine the magnitude of the influence on the evaluation value of each parameter according to the importance of each parameter.

  The evaluation unit 314 may be configured by a discriminator obtained by machine learning. For example, the evaluation unit 314 may be each function constituting a deep learning neural network, or may be a support vector-machine classifier. In this case, for example, the instructor U2 such as a doctor evaluates the plurality of pieces of prediction information J3, specifies each evaluation value of the plurality of pieces of prediction information J3 via the leader terminal 200, and the leader terminal 200 The evaluation value may be transmitted to the guidance support server 300, and the evaluation unit 314 may learn using the plurality of pieces of prediction information J3 as training data and the determined evaluation value as teacher data. Further, based on the actual information of the instructor U1 accumulated by using the system and the evaluation value for the information of the instructor U1 after a predetermined period of time, the evaluation value of the prediction information J3 as teacher data May be determined. The evaluation value for the information of the instructor U1 after the elapse of a predetermined period may be specified by the instructor U2 via the instructor terminal 200, for example.

  Based on the evaluation value evaluated by the evaluation unit 314, the guidance auxiliary information search unit 313 searches for guidance auxiliary information J2 recommended for the teacher U2.

  More specifically, the guidance assistance information search unit 313 inputs a plurality of guidance assistance information J21, J22, J23 to the guidance reaction prediction unit 311 for the premise information J1, as shown in FIG. Prediction information J31, J32, J33... Is obtained. And guidance auxiliary information search part 313 inputs prediction information J31, J32, J33 ... into evaluation part 314, and obtains evaluation value V1, V2, and V3 of prediction information J31, J32, and J33, respectively. The guidance auxiliary information search unit 313 searches for guidance auxiliary information J2 (instruction auxiliary information J21 in FIG. 8) which is the highest evaluation value (evaluation value V1 in FIG. 8).

  Instead of or in addition to this, the guidance auxiliary information searching unit 313 may search for the guidance auxiliary information J2 corresponding to the prediction information J3 having the largest number of parameters indicating each prediction that falls within a predetermined range. . For example, the guidance auxiliary information search unit 313 includes a parameter indicating a prediction of the degree of motivation of the instructed person U1 who follows the current guidance after the current guidance within a predetermined range (for example, a range indicating that the guidance is followed). After the guidance, the parameter indicating the prediction of whether to act according to the current guidance falls within a predetermined range (for example, the range indicating the behavior according to the current guidance), and the trainee U1 after the current guidance Prediction information J3 having the largest number of parameters indicating each prediction that falls within a predetermined range, for example, a parameter indicating the prediction of the biological information falls within a predetermined range (for example, a range that is normal blood pressure in the case of blood pressure). You may search the guidance assistance information J2 corresponding to.

  As each predetermined range, for example, a range designated in advance by a developer or the like may be stored in the server storage unit 320, or there is a positive correlation with the preferable biological information of the instructor U1 obtained in the present system. The parameter ranges may be the respective predetermined ranges, and the respective parameter ranges that are not negatively correlated with the preferred biological information of the instructor U1 obtained in the present system may be the respective predetermined ranges.

  The guidance reaction prediction unit 311 transmits the guidance assistance information J2 searched in FIG. 6 / STEP 264 to the leader terminal 200 via the server communication unit 330 (FIG. 6 / STEP 266).

  The leader terminal control unit 210 determines whether or not the guidance auxiliary information J2 searched for via the leader terminal communication unit 230 has been received (FIG. 6 / STEP 242). When the determination result is negative (FIG. 6 / STEP 242... NO), the instructor terminal control unit 210 executes the process of FIG. 6 / STEP 242.

  When the determination result is affirmative (FIG. 6 / STEP 242... YES), the instructor terminal control unit 210 outputs the received instruction auxiliary information J2 to the touch panel 240 (FIG. 6 / STEP 244).

  For example, as shown in FIG. 9, the leader terminal control unit 210 outputs a guidance support screen P <b> 1 to the touch panel 240. Here, the guidance support screen P1 is a display P11 of information about the instructor U1, such as a disease, biological information, goal, problem, cause, and cause to prevent the problem of the instructor U1, a display P12 of instruction information, and guidance A specific explanatory text display P13, a voice tone display P14 during guidance, and a facial expression display P15 during guidance are included. For example, the leader terminal control unit 210 creates displays P12 to P15 based on the information included in the guidance assistance information J2, and further transmits the trainee ID of the trainee U1 to the guidance support server 300 to be guided. Information regarding the instructor U1 such as the disease, biological information, goal, problem, cause, and cause of obstructing problem resolution of the person U1 may be acquired. Instead, information for configuring the displays P11 to P15 may be included in the guidance auxiliary information J2.

  Thereafter, the leader terminal control unit 210 performs an online call with the leader terminal 100 via the leader terminal communication unit 230 (FIG. 6 / STEP 264). In the online call, the instructor U2 provides instruction to the instructor U1 in accordance with the instruction support screen P1. The instructor U2 may arrange the contents of the instruction support screen P1 according to his / her own knowledge, but in order to maximize the effect of the instruction support by the present system, the instruction text included in the instruction support screen P1 is used. It is preferable to perform guidance according to the guidance support screen P1, such as reading it out as it is.

  The trainee terminal control unit 110 captures and records the facial expression and voice of the trainee U1 via the camera 150 and the microphone 160 during the online call (FIG. 6 / STEP222). The trainee terminal control unit 110 transmits the acquired data to the guidance support server 300 via the trainee terminal communication unit 130 (FIG. 6 / STEP 224).

  In addition, the leader terminal control unit 210 captures and records the facial expression and voice of the leader U2 via the camera 250 and the microphone 260 during the online call (FIG. 6 / STEP248). The leader terminal control unit 210 transmits the acquired data to the guidance support server 300 via the leader terminal communication unit 230 (FIG. 6 / STEP 250).

  The information recognition unit 312 determines whether data is received from the instructor terminal 100 and the instructor terminal 200 via the server communication unit 330 (FIG. 6 / STEP 268). If the determination result is negative (FIG. 6 / STEP 268... NO), the information recognition unit 312 executes the process of FIG. 6 / STEP 268.

  If the determination result is affirmative (FIG. 6 / STEP 268... YES), the information recognition unit 312 analyzes the received data (FIG. 6 / STEP 270). Here, the information recognizing unit 312 includes the facial expression of the instructor U1 included in the imaging data received from the instructor terminal 100, and the tone of the instructor U1 voice included in the recording data received from the instructor terminal 100. The facial expression of the leader U2 included in the imaging data received from the leader terminal 200, the tone of the voice of the leader U2 included in the recording data received from the leader terminal 200, and the recording data received from the leader terminal 200 The statement made by the instructor U2 during the instruction is analyzed and parameterized. For example, the information recognition unit 312 performs analysis of FIG. 6 / STEP 270 using a discriminator generated by machine learning. For example, the information recognition unit 312 inputs the captured image data to a classifier that performs facial expression analysis, and classifies the facial expression of the instructor U1. The discriminator assigns a parameter corresponding to the facial expression classification (smile etc.).

  The information recognition unit 312 updates the history information stored in the history storage unit 326 based on the parameters obtained as a result of the analysis in FIG. 6 / STEP 270 (FIG. 6 / STEP 272). The information recognition unit 312 generates a new first element ID and a first combination when the instruction by the instructor U2 is partly or entirely different from the elements of the selected first combination, and the generated first element The element ID and the first combination may be stored in the first element storage unit 321 and the history information may be updated based on the first element ID. The information recognizing unit 312 may add a parameter indicating how much of each type of medicine has been dispensed to the history information. The information recognizing unit 312 may add a parameter indicating the disease name of the instructor U1 diagnosed by the instructor U2 to the history information.

(Post-instruction processing)
Next, with reference to FIG. 10, the post-guidance processing of FIG. 4 / STEP 300 will be described.

  The instructor terminal control unit 110 acquires biometric information of the instructor U1, behavior information, and data regarding the wearing state of the wearable sensor W from the wearable sensor W through communication with the wearable sensor W (FIG. 10 / STEP322). . The biological information of the instructor U1 acquired from the wearable sensor W is a set of values indicating the systolic blood pressure and the diastolic blood pressure of the instructor U1, for example. The behavior information of the instructor U1 acquired from the wearable sensor W is, for example, the number of steps of the instructor U1 every day.

  The instructed terminal control unit 110 transmits the data acquired in FIG. 10 / STEP 322 to the instructing support server 300 via the instructed terminal communication unit 130 (FIG. 10 / STEP 324).

  The information recognition unit 312 determines whether data has been received from the instructor terminal 100 via the server communication unit 330 (FIG. 10 / STEP 362). When the determination result is negative (FIG. 10 / STEP 362... NO), the information recognition unit 312 executes the process of FIG. 10 / STEP 362.

  When the determination result is negative (FIG. 10 / STEP 362... NO), the information recognition unit 312 is based on the biological information, behavior information, and wearing state of the wearable sensor W of the instructor U1 indicated in the acquired data. Then, the history information stored in the history storage unit 326 is updated (FIG. 10 / STEP 364). For example, the information recognition unit 312 may reflect the information obtained from the wearable sensor W as it is in the history information, or whether the behavior follows the current guidance based on the information obtained from the wearable sensor W and the result of the guidance. And the history information may be updated with a parameter indicating the evaluation.

(Predictor learning process)
Next, the prediction unit learning process will be described with reference to FIG.

  The guidance response prediction unit 311 updates each prediction unit 3111, 3112, 3113,... By performing machine learning based on parameters indicating various information stored in the server storage unit 320 (FIG. 11 / STEP462). ).

  For example, in the following, a set of parameters indicating the premise information J1 in the current guidance, a set of parameters indicating the content of the current guidance recognized in FIG. Data. The parameter set indicating the method of instruction this time includes a parameter set indicating the tone of the voice of the instructor U2 at the time of current instruction indicated by the voice information collected through the microphone 260 of the instructor terminal 200, and the instructor A parameter set indicating the facial expression of the instructor U2 at the time of the current instruction taken through the camera 250 of the terminal 200 is included.

  Also, a set of parameters indicating the willingness of the instructor U1 for the current instruction obtained in the process after the current instruction, and whether the instructor U1 has followed the current instruction obtained in the process after the current instruction. A set of parameters to be shown, a set of parameters to indicate the health condition (for example, subjective health view, physical condition, mental state) of the instructed person U1 obtained in the processing after the current guidance, obtained in the processing after the next guidance Part or all of the set of parameters indicating the cost of preventive medicine or the cost of treatment for the instructor U1 is set as the second data. Here, the process after the current instruction is, for example, the process of FIG. 5, the process of FIG. 6, or the process of FIG. 10 executed after the current instruction process (FIG. 4 / STEP 200). Not limited. The process after the next instruction is, for example, the process of FIG. 5, the process of FIG. 6, or the process of FIG. 10 executed after the next instruction process (FIG. 4 / STEP200). I can't.

  The instruction reaction prediction unit 311 performs machine learning with a teacher signal using, for example, deep learning or a support vector machine, using the first data as training data and the second data as a teacher signal, and each prediction unit 3111, 3112, 3113, Update ...

  The instruction response prediction unit 311 may select training data and teacher signals according to the functions of the respective prediction units 3111, 3112, 3113,.

  The instruction reaction prediction unit 311 may update each prediction unit 3111, 3112, 3113,... By performing machine learning without a teacher signal by deep learning or the like using the first data and the second data.

  The guidance assistance information search unit 313 uses each guidance assistance information J2 including the first combination and the second combination shown in FIGS. 2A and 2B, the guidance response prediction unit 311 after learning, and the evaluation unit 314, Recognize an instruction element whose magnitude of change in evaluation value when each element of instruction is changed is greater than or equal to a predetermined value (FIG. 11 / STEP 464).

  For example, the guidance auxiliary information search unit 313 creates a parameter set indicating the prerequisite information based on the history information of FIG. 3C and the like. In addition to or instead of this, the guidance auxiliary information search unit 313 may create a random parameter set. One set of premise information parameters may be created, or a plurality of premise information parameter sets may be created.

  And the guidance assistance information search part 313 changes the parameter which shows the element (for example, explanatory text at the time of guidance) contained in each guidance assistance information J2, and new 1st guidance assistance information (for example, , A parameter indicating instruction assistance information in which the explanation A at the time of guidance is changed to the explanation B is created. The guidance assistance information search unit 313 inputs a parameter indicating the first guidance assistance information and a parameter indicating the created premise information to the guidance reaction prediction unit 311, and a parameter indicating prediction information for the first guidance assistance information Get. The guidance auxiliary information search unit 313 obtains an evaluation value for the first guidance auxiliary information by inputting a parameter indicating the obtained prediction information to the evaluation unit 314. The guidance assistance information search part 313 changes the parameter of the element of 1st guidance, and shows new 2nd guidance assistance information (For example, guidance assistance information which changed the explanatory note B at the time of guidance to the explanatory note C). A parameter is created and the same processing as described above is executed to obtain an evaluation value for the second guidance auxiliary information. The guidance auxiliary information search unit 313 obtains an evaluation value when the element of the first instruction is changed by repeating the above, and changes the element of the first instruction based on the obtained evaluation value. The magnitude of the fluctuation of the evaluation value at the time (for example, the variance or the difference between the maximum value and the longest value) is acquired.

  The guidance auxiliary information search unit 313 changes the parameter indicating the second guidance element (for example, the tone of the voice of the leader U2) different from the first guidance element included in each guidance assistance information J2, and newly A parameter indicating the third guidance assistance information (for example, guidance assistance information in which the voice tone D is changed to the voice tone E) is created. The guidance auxiliary information search unit 313 performs the same process as that of the first guidance element, thereby acquiring the magnitude of change in the evaluation value when the second guidance element is changed.

  The guidance auxiliary information search unit 313 recognizes a guidance element in which the magnitude of variation in the evaluation value when each guidance element is changed is greater than or equal to a predetermined value.

  The guidance auxiliary information search unit 313 includes the instruction combination recognized in FIG. 11 / STEP 464 out of the first combination stored in the first element storage unit 321 or the second combination stored in the second element storage unit 322. A new combination in which elements (for example, explanatory text at the time of instruction) are changed is created and added to the first element storage unit 321 or the second element storage unit 322 (FIG. 11 / STEP 466).

  Here, the guidance assistance information search part 313 changes the element of guidance according to the rule according to the content of each guidance.

  For example, if the content of the target guidance is an explanatory text at the time of guidance, the guidance auxiliary information search unit 313 generates an explanatory text having the same or similar meaning as the explanatory text at the time of guidance. More specifically, the instruction assistance information search unit 313 may provide an explanation at the time of the instruction “... First, experience a properly seasoned dish with your family and gradually get used to the light taste. For “good”, replace terms that have the same or similar meaning as each word in the description (for example, proper seasoning → recommended seasoning), change the order of the sentences ( In order to get used to the light taste gradually, it is also possible for the family to experience a dish with proper seasoning. ”) And rephrasing regular terms such as endings (“ ... Is it possible? "), Etc., etc. to generate the same or similar explanatory text. In these processes, the guidance auxiliary information search unit 313 performs semantic analysis to check whether the original explanatory note and the newly generated explanatory note have the same or similar meaning. Good. In addition, the guidance auxiliary information search unit 313 may perform term replacement using a semantic distance between words in these processes.

  Also, for example, if the content of the target instruction is a voice tone, the instruction assistance information search unit 313 refers to the history information in the server storage unit 320 to acquire a dark voice tone, and the like. Change the tone.

  After the processing of FIG. 11 / STEP 466, the guidance auxiliary information search unit 313 ends this processing.

(Operational effect of this embodiment)
According to the guidance support system of the present invention, the guidance of the target predicted by the guidance response prediction unit 311 with respect to the information of the target trainee U1 recognized by the information recognition unit 312 by the guidance assistance information search unit 313. The guidance assistance information J2 is searched for such that one or both of the person's motivation and action become one or both of the predetermined motivation and action (FIG. 6 / STEP 264).

  Then, the instructor terminal control unit 210 outputs the searched instruction auxiliary information J2 to the touch panel 240.

  Thereby, guidance can be appropriately supported in consideration of the will and behavior of the subject instructor U1 predicted by the guidance response prediction unit 311.

  According to the guidance support system of the present invention, the information recognizing unit 312 performs one or both of the contents of the guidance actually conducted and the manner of guidance, the information of the instructor U1 who received the guidance, and the subjects after the guidance. One or both of motivation and behavior of the instructor U1 are recognized (FIG. 5 / STEP 170, FIG. 5 / STEP 174 to FIG. 5 / STEP 178, FIG. 6 / STEP 268 to FIG. 6 / STEP 272, FIG. 10 / STEP 362 to FIG. 10 / (STEP 364).

  Then, the guidance response prediction unit 311 recognizes one or both of the content of the actually conducted guidance and the manner of guidance, the response information of the instructor who has actually conducted the guidance, and the subjects after the guidance. Prediction learning is performed using one or both of the motivation and behavior of the leader (FIG. 11 / STEP 462).

  By repeating the learning, the willingness and behavior prediction accuracy of the target instructor U1 by the guidance reaction prediction unit 311 is improved.

  In this way, guidance is supported more appropriately by taking into account the will and behavior of the subject instructor U1 whose prediction accuracy has been improved, and thus guidance can be supported more appropriately.

  According to the guidance support system of the configuration, the information recognition unit 312 is one of the instructor terminal input unit (touch panel 140, camera 150, microphone 160) and the instructor terminal input unit (touch panel 240, camera 250, microphone 260). Or, based on the information input at the time of remote guidance in both, one or both of the content of the guidance actually conducted and the way of guidance, the information from the instructor U1 who actually received the guidance, It is configured to recognize one or both of the willingness and behavior of the instructor U1 after guidance (FIG. 5 / STEP 170, FIG. 5 / STEP 174 to FIG. 5 / STEP 178, FIG. 6 / STEP 268 to FIG. 6 / STEP 272). FIG. 10 / STEP 362 to FIG. 10 / STEP 364).

  Then, by the guidance reaction prediction unit 311, one or both of the content of the guidance actually performed recognized by the information recognition unit 312 and the manner of guidance, and information from the instructor U1 who actually received the guidance, Prediction learning is performed using one or both of the willingness and behavior of the trainee U1 after the guidance.

  Thereby, since learning is performed by utilizing information acquired in actual remote instruction, learning accuracy can be improved, and learning work of the instructor U2 or the instructor U1 regarding information collection can be performed. The load can be reduced.

  According to the guidance support system of the said structure, based on the information input in the said remote instruction | indication in the to-be-instructed terminal input part (touch panel 140, camera 150, microphone 160), the said guidance is performed by the real information recognition part. Information actually received from the instructor U1 and one or both of the willingness and behavior of the instructor U1 after the instruction are recognized (FIG. 5 / STEP 170, FIG. 5 / STEP 174 to FIG. 5 / STEP 178, FIG. 6 / STEP 268 to FIG. 6 / STEP 272, FIG. 10 / STEP 362 to FIG. 10 / STEP 364).

  Thereby, since the information derived from the instructor U1 can be distinguished with high accuracy and learning for prediction can be performed, the accuracy of prediction can be improved.

  In addition, according to the guidance support system having the configuration, the guidance assistance information J2 is searched by further taking into account the prediction of the change in the health state of the instructor U1 (FIG. 6 / STEP 264). Thereby, in addition to the willingness and action of the target instructor U1, the change in the health condition of the instructor U1 is taken into consideration, and the instruction is supported.

  11 / STEP 464 to FIG. 11 / STEP 466, the combination of instruction elements including various variations of instruction elements that are expected to have a relatively large effect on the evaluation value is the first element storage unit 321 or the second element combination. Stored in the element storage unit 322. The combination of these newly created instruction elements becomes a search target in the next and subsequent instruction processing, whereby the variation of the auxiliary instruction information J2 to be searched can be increased. As a result, since more instruction assistance information J2 can be evaluated by the evaluation part 314 in STEP264 of FIG. 6, the probability that more suitable instruction assistance information J2 can be searched increases.

(Other embodiments)
When the leader terminal control unit 210 executes a predetermined program stored in the leader terminal storage unit 220, all of the guidance reaction prediction unit 311, the information recognition unit 312, the guidance auxiliary information search unit 313, and the evaluation unit 314 are all performed. Or it may function as a part. In this case, the leader terminal control unit 210 may download information necessary for each process from the guidance support server 300 in advance or at the time of processing.

  In addition, the trainee terminal control unit 110 executes a predetermined program stored in the trainee terminal storage unit 120, whereby the guidance reaction prediction unit 311, the information recognition unit 312, the guidance auxiliary information search unit 313, and the evaluation The part 314 may function as all or part of the part 314. In this case, the trainee terminal control unit 110 may download information necessary for each process from the guidance support server 300 in advance or during the process.

  210 ··· Instructor terminal control unit (output control unit), 240 ·· Touch panel, 311 · · Guidance response prediction unit, 312 · · Information recognition unit, 313 · · Guidance auxiliary information search unit, 326 · · History storage unit, U1 ... Leader, U2 ... Leader.

Claims (9)

An instructor terminal having an output unit for outputting information and configured to be able to make online calls with the instructor terminal ;
Work on guidance based on guidance assistance information that indicates at least how to teach, information on at least one or both of past willingness to work on guidance of the trainee and past behavior in accordance with the guidance of the trainee. wherein a guidance reaction prediction unit for predicting one or both actions of the object to be leaders in accordance with the desire及beauty guidance of the leader,
An information recognition unit for recognizing information indicating at least one or both of past willingness to tackle guidance of a subject instructor who uses the instructed terminal and past behavior according to guidance of the subject instructor ; ,
The guidance response to information indicating at least one or both of the past willingness to tackle the guidance of the subject instructor recognized by the information recognition unit and the past behavior according to the guidance of the subject instructor. A guidance auxiliary information search unit for searching for the guidance auxiliary information such that one or both of the will and behavior of the target trainee predicted by the prediction unit become one or both of the predetermined will and the predetermined behavior;
Guidance support system, wherein the time of online conversation with the leader terminal, and an output control unit to output to the output portion of the leader terminal the guidance auxiliary information said searched. In the instruction support system according to claim 1,
One or both of the method of guidance actually conducted, the past willingness to work on the guidance of the instructor who actually received the instruction, and the past action according to the instruction of the instructor who actually received the instruction A real information recognition unit that recognizes at least information and one or both of the willingness and behavior of the instructor after the guidance,
The leadership reaction prediction unit, said a manner of guidance actually conducted recognized by the real information recognizing unit, actually received historical willingness and the guidance to address guidance of the leader actually received the guidance It is configured to perform prediction learning using information indicating at least one or both of past actions according to the instruction of the instructor and one or both of the willingness and action of the instructor after the instruction. Guidance support system characterized by being. In the guidance support system according to claim 2,
A trainee terminal comprising a trainee terminal input unit that receives input by the trainee, a trainee terminal communication unit that performs communication, and a trainee terminal output unit that outputs information,
A leader terminal input unit that receives input by a leader, a leader terminal communication unit that performs communication, and a leader terminal that includes a leader terminal output unit that outputs information,
The instructor terminal and the instructor terminal are configured to support remote instruction to the instructor by the instructor by communicating with each other via each communication unit,
The actual information recognizing unit, based on the information input at the time of the remote instruction in one or both of the instructed terminal input unit and the instructor terminal input unit , how to perform the instruction and the instruction Information indicating at least one or both of past willingness to work on the guidance of the trainee actually received and past behavior according to the guidance of the trainee who actually received the guidance, and the trainee after the guidance A guidance support system configured to recognize one or both of motivation and behavior. In the guidance support system according to claim 3,
The actual information recognizing unit, based on the information input in the remote instruction in the instructed terminal input unit, the past willingness to tackle the instruction of the instructor who actually received the instruction and the instruction actually It is configured to recognize information indicating at least one or both of the past actions according to the instruction of the instructor who received the instruction and one or both of the willingness and action of the instructor after the instruction. Guidance support system characterized by In the guidance support system according to claim 3 or 4,
The real information recognizing unit is configured to recognize a method of actual guidance based on information input at the time of remote guidance in a leader terminal input unit. system. In the guidance support system according to any one of claims 3 to 5,
The actual information recognizing unit is an instruction method actually performed based on one or both of the voice information of the leader and the image showing the facial expression of the leader input at the time of remote guidance in the leader terminal input unit. A guidance support system characterized in that it is configured to recognize. In the guidance support system according to any one of claims 1 to 6,
The instruction response prediction unit is configured to provide the instructor's willingness to tackle the instruction of the instructor based on at least the instruction assistance information indicating the instruction method and the instructor's health condition information indicating the instructor's health condition. And in addition to one or both of the behaviors of the instructor according to the instruction of the instructor, configured to predict a change in the health status of the instructor before and after the instruction,
The guidance auxiliary information search unit is one of the motivation and behavior of the target trainee predicted by the guidance response prediction unit with respect to the response information of the target trainee recognized by the information recognition unit or The instruction in which both become one or both of a predetermined will and a predetermined action, and a change in the health condition of the instructor before and after the instruction predicted by the instruction response prediction unit is a predetermined change. An instruction support system configured to search for auxiliary information. An instructor terminal having an output unit for outputting information and configured to be able to make online calls with the instructor terminal ;
Work on guidance based on guidance assistance information that indicates at least how to teach, information on at least one or both of past willingness to work on guidance of the trainee and past behavior in accordance with the guidance of the trainee. wherein there is provided a method of system and a guidance reaction prediction unit for predicting one or both actions of the object to be leaders in accordance with the desire及beauty guidance of the leader is executed,
An information recognition step for recognizing information indicating at least one or both of past willingness to tackle guidance of a subject instructor who uses the instructor terminal and guidance of the subject instructor ; ,
The guidance response to information indicating at least one or both of past willingness to tackle guidance of the subject instructor recognized in the information recognition step and past behavior in accordance with guidance of the subject instructor A guidance auxiliary information search step for searching for the guidance auxiliary information such that one or both of the will and behavior of the target trainee predicted by the prediction unit become one or both of the predetermined will and the predetermined behavior,
A guidance support method , comprising: an output control step of outputting the searched guidance assistance information to the output unit of the leader terminal during an online call with the trainee terminal . An instructor terminal having an output unit for outputting information and configured to be able to make online calls with the instructor terminal ;
Work on guidance based on guidance assistance information that indicates at least how to teach, information on at least one or both of past willingness to work on guidance of the trainee and past behavior in accordance with the guidance of the trainee. said system comprising a guidance reaction prediction unit for predicting one or both actions of the object to be leaders in accordance with the desire及beauty guidance of the leader,
An information recognition step for recognizing information indicating at least one or both of past willingness to tackle guidance of a subject instructor who uses the instructor terminal and guidance of the subject instructor ; ,
The guidance response to information indicating at least one or both of past willingness to tackle guidance of the subject instructor recognized in the information recognition step and past behavior in accordance with guidance of the subject instructor A guidance auxiliary information search step for searching for the guidance auxiliary information such that one or both of the will and behavior of the target trainee predicted by the prediction unit become one or both of the predetermined will and the predetermined behavior,
An instruction support program for executing an output control step for outputting the searched instruction assistance information to the output unit during an online call with the instructor terminal .