WO2023166562A1 - Childcare state estimation device, childcare state estimation method, and recording medium - Google Patents

Childcare state estimation device, childcare state estimation method, and recording medium Download PDF

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WO2023166562A1
WO2023166562A1 PCT/JP2022/008611 JP2022008611W WO2023166562A1 WO 2023166562 A1 WO2023166562 A1 WO 2023166562A1 JP 2022008611 W JP2022008611 W JP 2022008611W WO 2023166562 A1 WO2023166562 A1 WO 2023166562A1
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information
childcare
child
terminal
state estimation
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PCT/JP2022/008611
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French (fr)
Japanese (ja)
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具英 濱谷
友也 早川
洋 佐藤
恭介 稲村
譲 山本
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日本電気株式会社
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Priority to PCT/JP2022/008611 priority Critical patent/WO2023166562A1/en
Publication of WO2023166562A1 publication Critical patent/WO2023166562A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services

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  • the present invention relates to a childcare state estimation device, a childcare state estimation method, and a recording medium.
  • Patent Literature 1 describes an information processing device that supports decision-making by employees of a child guidance center or the like. This information processing device identifies an index value representing the probability of occurrence of temporary protection using a learned model of past abuse cases.
  • Patent Document 2 discloses a program that causes a computer to execute the following processes. First, the computer acquires image information of a child to be identified. Next, the computer utilizes the reference image information of the child imaged in the past and the degree of association of three or more levels with the possibility of abuse of the child, and uses the reference image information according to the acquired image information. determine the potential for child abuse based on
  • the terminal-related information including at least one of the operation history of the target person's terminal, the information stored in the terminal, and the information stored externally in association with the terminal an acquisition means for acquiring; output means for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
  • a childcare state estimation device is provided.
  • a computer is configured to: Acquiring terminal-related information including at least one of the operation history of the target person's terminal, information stored in the terminal, and information stored externally linked to the terminal, A method for estimating child-rearing state is provided, wherein the terminal-related information is used to generate and output child-rearing state information indicating the child-rearing state of the subject's child by the subject.
  • a recording medium recording a computer-executable program
  • the program causes the computer to: an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal; an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
  • an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal
  • an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information
  • a child-rearing state estimation device a child-rearing state estimation method, and a program capable of estimating a child's child-rearing state with high accuracy.
  • FIG. 1 is a diagram showing an overview of the childcare state estimation device 10 according to the embodiment.
  • Parenting state estimation device 10 includes acquisition unit 110 and output unit 120 .
  • Acquisition unit 110 acquires terminal-related information.
  • the terminal-related information includes at least one of an operation history of the target person's terminal, information stored in the terminal, and information stored externally in association with the terminal.
  • the output unit 120 uses the terminal-related information to generate and output childcare status information indicating the childcare status of the subject's child by the subject.
  • the childcare state estimation device 10 collects at least one of the target person's terminal operation history, information stored in the terminal, and information stored externally in association with the terminal. use. It is highly likely that this information reflects the extent of childcare and the level of interest in the child by the subject. Therefore, by using the child-rearing state estimation device 10, the child's child-rearing state can be estimated with high accuracy.
  • FIG. 2 is a diagram showing an example of an environment in which the childcare state estimation device 10 is used.
  • Parenting state estimation device 10 is used together with terminal 20 , server 30 , consultation office information storage device 40 , health information storage device 50 , and model generation device 60 . Further, the parenting state estimation device 10 may be used together with the staff terminal 70 used by the staff of the child guidance center.
  • the childcare state estimation device 10 generates childcare state information using a model.
  • the model generation device 60 generates this model using machine learning such as neural networks.
  • the explanatory variables of the training data of this model are the same as the explanatory variables input when using this model. Also, the objective variable of this training data is information indicating whether or not the child was abused or neglected.
  • the terminal 20 is used by the subject.
  • the target audience is an adult who is raising a child, such as the child's father or mother.
  • the terminal 20 is, for example, a portable terminal such as a smart phone, but may be a stationary terminal such as a personal computer.
  • the subject uses the terminal 20 to perform various tasks. Information about this work is stored in at least one of the terminal 20 and the server 30 . Although only one server 30 is shown in FIG. 2 , the terminal 20 may be used together with a plurality of servers 30 . In this case, administrators of the multiple servers 30 may be different from each other.
  • the work performed by the subject using the terminal 20 is, for example, at least one of the following.
  • Acts of searching for information on the Internet This search history is saved in at least one of the terminal 20 and the server 30 .
  • the image captured here is saved in at least one of the terminal 20 and the server 30 .
  • Use of social network services This use includes the act of posting at least one of text data and images, and the act of searching for at least one of text data and images posted by others on social networks.
  • the posted information is saved in the server 30 .
  • the search history by the terminal 20 is saved in at least one of the terminal 20 and the server 30 .
  • record childcare information Childcare information includes at least one of text data and images.
  • the childcare information includes, for example, records of breastfeeding, content of baby food, history and results of visits to medical institutions, and information to be transmitted to others.
  • Childcare information is recorded using application software for childcare, for example.
  • Childcare information is stored in at least one of terminal 20 and server 30 .
  • the counseling center information storage device 40 stores information input by the staff of the child guidance center, which is related to at least one of the subject and the child. This information is hereinafter referred to as consultation center information.
  • the counseling office information storage device 40 stores the following information as at least part of the counseling office information, for example, for each subject or child.
  • B Report history to the Child Guidance Center. The call indicates that the child may have been abused.
  • the health information storage device 50 stores health information of children.
  • Health information includes at least one of the following: (a) medical record information generated by a medical institution; For example, information recorded in the maternal and child health handbook (c) Vaccination history
  • the acquiring unit 110 of the parenting state estimation device 10 acquires information necessary for generating parenting state information.
  • This information includes terminal-related information.
  • the terminal-related information includes at least one of the operation history of the terminal 20, information stored in the terminal 20, and information stored externally in association with the terminal 20, as described using FIG. I'm in.
  • a specific example of the terminal-related information includes at least one of (1) to (4) described above.
  • the terminal-related information includes at least one of an image including a child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a childcare information record generated by the subject.
  • the acquisition unit 110 acquires counseling center information stored in the counseling center information storage device 40 as necessary.
  • the acquisition unit 110 also acquires health information stored in the health information storage device 50 as necessary.
  • the output unit 120 generates childcare-related information using the information acquired by the acquisition unit 110 and the model generated by the model generation device 60 .
  • Parenting-related information indicates, for example, that the subject may be abusing a child.
  • the child-rearing-related information indicates the degree of possibility by numbers, but may indicate the degree of possibility by ranks.
  • explanatory variables of the model described above include at least one of the information acquired by the acquisition unit 110 and the secondary information generated by processing this information. That is, explanatory variables include the terminal-related information described above. The explanatory variables may further include at least one of the counseling center information and health information described above.
  • examples of secondary information used as explanatory variables are at least one of the following.
  • the first example of secondary information is the result of processing an image containing children. Specifically, this image processing detects at least one of the child's facial expression, the presence or absence of a bruise, and the presence or absence of a wound. It can be estimated that the brighter the child's expression, for example, the higher the smile ratio, the more properly the subject is raising the child. Also, if the child has no bruises or scars, it can be presumed that the subject is taking care of the child properly. Note that the output unit 120 also performs this image processing.
  • a second example of secondary information is the shooting frequency of images that include children.
  • the acquiring unit 110 acquires a plurality of images including children.
  • the image may be stored as image data in the terminal 20 or the server 30, or may be stored in the server 30 as part of the posting history to the SNS.
  • the acquiring unit 110 may perform image processing on the images stored in the terminal 20 and the images stored in the server 30, specify images including children, and acquire the specified images. . These multiple images are generated at different timings.
  • the acquisition unit 110 also acquires information indicating the shooting date and time of each of the plurality of images or the timing of posting to the SNS. Then, the output unit 120 uses this information to calculate the image capturing frequency. It can be estimated that the higher the photographing frequency, that is, the shorter the photographing interval, the more properly the subject is raising the child.
  • a third example of secondary information is the result of negative/positive determination of text data included in the SNS posting history.
  • the acquisition unit 110 acquires text data included in the SNS posting history.
  • the output unit 120 identifies text data relating to childcare or children from this text data, and performs a negative/positive determination on the identified text data. It can be estimated that the higher the degree of positivity in this determination result, the more properly the subject is raising the child.
  • a fourth example of secondary information is the search and viewing intervals for childcare information.
  • the acquisition unit 110 acquires the Internet search history and browsing history of the terminal 20 .
  • the output unit 120 acquires a search history using keywords related to childcare and a browsing history of sites related to childcare.
  • the output unit 120 then calculates the search and browsing intervals. It can be estimated that the shorter this interval is, the more properly the subject is raising the child.
  • a fifth example of secondary information is the update interval of the childcare information record by the subject.
  • Acquisition unit 110 acquires an update history of childcare information records via terminal 20 .
  • the output unit 120 uses this update history to calculate the update interval of the childcare information record. It can be estimated that the shorter this interval is, the more properly the subject is raising the child.
  • the sixth example of secondary information is the result of negative/positive determination of text data included in childcare information generated by the subject.
  • the acquisition unit 110 acquires text data included in the childcare information generated by the subject.
  • the output unit 120 identifies text data relating to childcare or children from this text data, and performs a negative/positive determination on the identified text data. It can be estimated that the higher the degree of positivity in this determination result, the more properly the subject is raising the child.
  • FIG. 3 is a diagram showing a hardware configuration example of the parenting state estimation device 10. As shown in FIG. Parenting state estimation device 10 has bus 1010 , processor 1020 , memory 1030 , storage device 1040 , input/output interface 1050 and network interface 1060 .
  • the bus 1010 is a data transmission path for the processor 1020, the memory 1030, the storage device 1040, the input/output interface 1050, and the network interface 1060 to exchange data with each other.
  • the method of connecting processors 1020 and the like to each other is not limited to bus connection.
  • the processor 1020 is a processor realized by a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or the like.
  • the memory 1030 is a main memory implemented by RAM (Random Access Memory) or the like.
  • the storage device 1040 is a removable medium such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, or an auxiliary storage device realized by a ROM (Read Only Memory).
  • the storage device 1040 stores program modules that implement each function of the parenting state estimation device 10 (for example, the acquisition unit 110 and the output unit 120). Each function corresponding to the program module is realized by the processor 1020 reading each program module into the memory 1030 and executing it.
  • the storage device 1040 also functions as storage means for storing models used by the output unit 120 .
  • the input/output interface 1050 is an interface for connecting the parenting state estimation device 10 and various input/output devices.
  • the network interface 1060 is an interface for connecting the parenting state estimation device 10 to a network.
  • This network is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network).
  • a method for connecting the network interface 1060 to the network may be a wireless connection or a wired connection.
  • Parenting state estimation device 10 may communicate with terminal 20 , server 30 , counseling center information storage device 40 , health information storage device 50 , and model generation device 60 via network interface 1060 .
  • FIG. 4 is a flowchart showing an example of processing performed by the childcare state estimation device 10.
  • FIG. Childcare state estimation device 10 is used, for example, by a staff member of a child guidance center, but may be used by a subject.
  • Parenting state estimation device 10 may also periodically perform the processing shown in the figure.
  • the acquisition unit 110 acquires information necessary to generate childcare status information.
  • An example of this information is as described with reference to FIG. 2 (step S10).
  • the output unit 120 uses the information acquired by the acquisition unit 110 to generate childcare status information.
  • the output unit 120 uses the model generated by the model generation device 60 .
  • the objective variable of this model is parenting status information. Also, examples of explanatory variables of this model are as described with reference to FIG. 2 (step S20).
  • the output unit 120 outputs childcare status information.
  • the output unit 120 may output the child care status information to the terminal 20, or may output the child care status information to the staff terminal 70 used by the child guidance center staff (Step S30).
  • the childcare state estimation device 10 may erase the information acquired by the acquisition unit 110 .
  • the childcare state estimation device 10 when generating the childcare state information, the childcare state estimation device 10 generates at least one of the operation history of the target person's terminal, the information stored in the terminal, and the information stored externally in association with the terminal. use one. It is highly likely that this information reflects the extent of childcare and the level of interest in the child by the subject. Therefore, by using the child-rearing state estimation device 10, the child's child-rearing state can be estimated with high accuracy.
  • a childcare state estimation device comprising: 2.
  • the terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. State estimator. 3.
  • the terminal-related information includes the image; The childcare state estimation device, wherein the output means generates the childcare state information using a result of processing the image. 4.
  • the terminal-related information includes a plurality of the images generated at different timings, The child-rearing state estimation device, wherein the output means generates the child-rearing state information using a generation interval of the plurality of images. 5.
  • the terminal-related information includes a history of SNS usage by the subject,
  • the output means is identifying text data relating to childcare or the child from among the text data included in the usage history;
  • a parenting state estimation device that performs a negative/positive determination on text data relating to child care or a child, and generates the parenting state information using the result of the determination.
  • the terminal-related information includes a history of searches and browsing of the childcare information;
  • the child-rearing state estimation device, wherein the output means generates the child-rearing state information using intervals between searches and browsing of the child-rearing information. 7.
  • the terminal-related information includes a record of childcare information by the subject; The childcare state estimation device, wherein the output means generates the childcare state information using an update interval of the childcare information.
  • the terminal-related information includes a record of the childcare information generated by the subject; The childcare state estimation device, wherein the output means performs a negative/positive determination on text data included in the record of the childcare information, and generates the childcare state information using the result of the determination.
  • the acquisition means further acquires the child's health information
  • the child-rearing state estimation device, wherein the output means further generates the child-rearing state information using the health information. 10.
  • the childcare state estimation device wherein the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
  • the acquisition means further acquires counseling center information, which is information input by a child guidance center staff member and is information about the subject or the child,
  • the childcare state estimation device, wherein the output means further generates the childcare state information using the consultation office information.
  • the childcare state estimation device wherein the output means generates the childcare state information using a model generated by machine learning.
  • the computer Acquiring terminal-related information including at least one of the operation history of the target person's terminal, information stored in the terminal, and information stored externally linked to the terminal, A method of estimating a child-rearing state, wherein child-rearing state information indicating a child-rearing state of a child of the target person by the target person is generated and output using the terminal-related information.
  • the terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. State estimation method. 15.
  • the terminal-related information includes the image; The childcare state estimation method, wherein the computer generates the childcare state information using a result of processing the image. 16.
  • the terminal-related information includes a plurality of the images generated at different timings, The parenting state estimation method, wherein the computer generates the parenting state information using a generation interval of the plurality of images. 17.
  • the terminal-related information includes a history of SNS usage by the subject,
  • the computer is identifying text data relating to childcare or the child from among the text data included in the usage history;
  • a method of estimating a childcare state wherein a negative/positive judgment is made on the text data relating to the childcare or the child, and the childcare state information is generated using the result of the judgment.
  • the terminal-related information includes a history of searches and browsing of the childcare information;
  • the parenting state estimation method wherein the computer generates the parenting state information using an interval of searching and viewing the parenting information. 19.
  • the terminal-related information includes a record of childcare information by the subject; The childcare state estimation method, wherein the computer generates the childcare state information using an update interval of the childcare information.
  • the terminal-related information includes a record of the childcare information generated by the subject; The childcare state estimation method, wherein the computer makes a negative/positive judgment on text data included in the childcare information record, and generates the childcare state information using the result of the judgment. 21.
  • the parenting state estimation method wherein the computer further acquires health information of the child and generates the parenting state information using the health information. 22.
  • the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
  • the computer further acquires counseling center information, which is information about the subject or the child, which is information input by a staff member of the child guidance center, and generates the childcare status information using the information of the counseling center.
  • counseling center information which is information about the subject or the child, which is information input by a staff member of the child guidance center, and generates the childcare status information using the information of the counseling center.
  • Parenting State Estimation Method 24.
  • the parenting state estimation method wherein the computer generates the parenting state information using a model generated by machine learning. 25.
  • a recording medium recording a computer-executable program, The program causes the computer to: an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal; an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information; A recording medium that has 26.
  • the terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. medium. 27.
  • the terminal-related information includes the image; The recording medium, wherein the output function generates the parenting state information using a result of processing the image. 28.
  • the terminal-related information includes a plurality of the images generated at different timings, The recording medium, wherein the output function generates the childcare status information using a generation interval of the plurality of images. 29.
  • the terminal-related information includes a history of SNS usage by the subject,
  • the output function is identifying text data relating to childcare or the child from among the text data included in the usage history;
  • the terminal-related information includes a history of searches and browsing of the childcare information;
  • the recording medium, wherein the output function generates the childcare status information using an interval between searches and browsing of the childcare information.
  • the terminal-related information includes a record of childcare information by the subject; A recording medium in which the output function generates the childcare status information using an update interval of the childcare information.
  • the terminal-related information includes a record of the childcare information generated by the subject; The recording medium, wherein the output function performs a negative/positive determination on text data included in the record of the childcare information, and generates the childcare status information using the result of the determination.
  • the obtaining function further obtains health information of the child, The recording medium, wherein the output function further uses the health information to generate the parenting status information. 34.
  • a recording medium wherein the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
  • the acquisition function further acquires counseling center information, which is information input by a child guidance center staff member and is information about the subject or the child,
  • a recording medium, wherein the output function further generates the childcare status information using the consultation office information.
  • the recording medium, wherein the output function generates the childcare status information using a model generated by machine learning.

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Abstract

This childcare state estimation device (10) comprises an acquisition unit (110) and an output unit (120). The acquisition unit (110) acquires terminal-related information. The terminal-related information includes at least one of the operation history of a terminal in the possession of a subject, information saved on the terminal, and information stored externally and linked to the terminal. The output unit (120) generates childcare state information indicating the state of childcare of a child of the subject by the subject using the terminal-related information and outputs the result. The output unit (120) generates childcare state information using, for example, a model generated by machine learning.

Description

育児状態推定装置、育児状態推定方法、及び記録媒体Parenting state estimation device, parenting state estimation method, and recording medium
　本発明は、育児状態推定装置、育児状態推定方法、及び記録媒体に関する。 The present invention relates to a childcare state estimation device, a childcare state estimation method, and a recording medium.
　保護者から子への虐待に対しては、一般的に、児童相談所の職員や学校の教員が対応している。特許文献１には、児童相談所などの職員の意思決定を支援する情報処理装置が記載されている。この情報処理装置は、過去の虐待事例の学習済みモデルを用いて、一時保護発生の蓋然性を表す指標値を特定する。 Child guidance center staff and school teachers generally respond to child abuse by parents. Patent Literature 1 describes an information processing device that supports decision-making by employees of a child guidance center or the like. This information processing device identifies an index value representing the probability of occurrence of temporary protection using a learned model of past abuse cases.
　また特許文献２には、以下の処理をコンピュータに実行させるプログラムが開示されている。まず、コンピュータは、判別対象の子供を撮像した画像情報を取得する。次いで、このコンピュータは、過去において撮像した子供の参照用画像情報と、その子供への虐待の可能性との３段階以上の連関度を利用し、上記取得した画像情報に応じた参照用画像情報に基づき、子供への虐待の可能性を判別する。 In addition, Patent Document 2 discloses a program that causes a computer to execute the following processes. First, the computer acquires image information of a child to be identified. Next, the computer utilizes the reference image information of the child imaged in the past and the degree of association of three or more levels with the possibility of abuse of the child, and uses the reference image information according to the acquired image information. determine the potential for child abuse based on
特開２０２０－１８４１８５号公報JP 2020-184185 A 特開２０２１－６８３３３号公報JP 2021-68333 A
　上述した特許文献１及び２においては、子供への虐待の可能性を判断する際に、十分な精度が出ない可能性があった。この制度が低い場合、子供を保護できなかったり、逆に保護者に対する冤罪が発生する可能性が出てくる。本発明の目的の一例は、上述した課題を鑑み、子供の育児状態を高い精度で推定することができる育児状態推定装置、育児状態推定方法、及び記録媒体を提供することにある。 In Patent Documents 1 and 2 mentioned above, there was a possibility that sufficient accuracy could not be achieved when judging the possibility of child abuse. If this system is weak, children may not be protected, and conversely, there is a possibility that parents may be falsely accused. SUMMARY OF THE INVENTION It is an object of the present invention to provide a child-rearing state estimation device, a child-rearing state estimation method, and a recording medium capable of estimating a child's child-rearing state with high accuracy.
　本発明の一態様によれば、対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得手段と、
　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力手段と、
を備える育児状態推定装置が提供される。 According to one aspect of the present invention, the terminal-related information including at least one of the operation history of the target person's terminal, the information stored in the terminal, and the information stored externally in association with the terminal an acquisition means for acquiring;
output means for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
A childcare state estimation device is provided.
　本発明の一態様によれば、コンピュータが、
　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得し、
　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する、育児状態推定方法が提供される。 According to one aspect of the invention, a computer is configured to:
Acquiring terminal-related information including at least one of the operation history of the target person's terminal, information stored in the terminal, and information stored externally linked to the terminal,
A method for estimating child-rearing state is provided, wherein the terminal-related information is used to generate and output child-rearing state information indicating the child-rearing state of the subject's child by the subject.
　本発明の一態様によれば、コンピュータが実行可能なプログラムを記録した記録媒体であって、
　前記プログラムは、前記コンピュータに、
　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得機能と、
　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力機能と、
を持たせる記録媒体が提供される。 According to one aspect of the present invention, a recording medium recording a computer-executable program,
The program causes the computer to:
an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal;
an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
There is provided a recording medium having
　本発明の一態様によれば、子供の育児状態を高い精度で推定することができる育児状態推定装置、育児状態推定方法、及びプログラムを提供できる。 According to one aspect of the present invention, it is possible to provide a child-rearing state estimation device, a child-rearing state estimation method, and a program capable of estimating a child's child-rearing state with high accuracy.
　上述した目的、およびその他の目的、特徴および利点は、以下に述べる好適な実施の形態、およびそれに付随する以下の図面によってさらに明らかになる。 The above-mentioned objects, as well as other objects, features and advantages, will become further apparent from the preferred embodiments described below and the accompanying drawings below.
実施形態に係る育児状態推定装置の概要を示す図である。BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the outline|summary of the childcare state estimation apparatus which concerns on embodiment. 育児状態推定装置の使用環境の一例を示す図である。It is a figure which shows an example of the usage environment of a childcare state estimation apparatus. 育児状態推定装置のハードウェア構成例を示す図である。It is a figure which shows the hardware structural example of a childcare state estimation apparatus. 育児状態推定装置が行う処理の一例を示すフローチャートである。It is a flowchart which shows an example of the process which a childcare state estimation apparatus performs.
　以下、本発明の実施の形態について、図面を用いて説明する。尚、すべての図面において、同様な構成要素には同様の符号を付し、適宜説明を省略する。 Embodiments of the present invention will be described below with reference to the drawings. In addition, in all the drawings, the same constituent elements are denoted by the same reference numerals, and the description thereof will be omitted as appropriate.
　図１は、実施形態に係る育児状態推定装置１０の概要を示す図である。育児状態推定装置１０は、取得部１１０及び出力部１２０を備えている。取得部１１０は、端末関連情報を取得する。端末関連情報は、対象者の端末の操作履歴、端末に保存されている情報、及び端末に紐づいて外部に保存されている情報の少なくとも一つを含んでいる。出力部１２０は、端末関連情報を用いて、対象者による対象者の子供の育児状態を示す育児状態情報を生成して出力する。 FIG. 1 is a diagram showing an overview of the childcare state estimation device 10 according to the embodiment. Parenting state estimation device 10 includes acquisition unit 110 and output unit 120 . Acquisition unit 110 acquires terminal-related information. The terminal-related information includes at least one of an operation history of the target person's terminal, information stored in the terminal, and information stored externally in association with the terminal. The output unit 120 uses the terminal-related information to generate and output childcare status information indicating the childcare status of the subject's child by the subject.
　育児状態推定装置１０は、育児状態情報を生成する際に、対象者の端末の操作履歴、端末に保存されている情報、及び端末に紐づいて外部に保存されている情報の少なくとも一つを用いる。これらの情報は、対象者による育児の程度や子供に対する関心の高さが反映されている可能性が高い。このため、育児状態推定装置１０を用いると、子供の育児状態を高い精度で推定することができる。 When generating the childcare state information, the childcare state estimation device 10 collects at least one of the target person's terminal operation history, information stored in the terminal, and information stored externally in association with the terminal. use. It is highly likely that this information reflects the extent of childcare and the level of interest in the child by the subject. Therefore, by using the child-rearing state estimation device 10, the child's child-rearing state can be estimated with high accuracy.
　以下、育児状態推定装置１０の詳細例について説明する。 A detailed example of the childcare state estimation device 10 will be described below.
　図２は、育児状態推定装置１０の使用環境の一例を示す図である。育児状態推定装置１０は、端末２０、サーバ３０、相談所情報記憶装置４０、健康情報記憶装置５０、及びモデル生成装置６０と共に使用される。また育児状態推定装置１０は、児童相談所の職員が利用する職員端末７０と共に使用されてもよい。 FIG. 2 is a diagram showing an example of an environment in which the childcare state estimation device 10 is used. Parenting state estimation device 10 is used together with terminal 20 , server 30 , consultation office information storage device 40 , health information storage device 50 , and model generation device 60 . Further, the parenting state estimation device 10 may be used together with the staff terminal 70 used by the staff of the child guidance center.
　育児状態推定装置１０は、モデルを用いて育児状態情報を生成する。モデル生成装置６０は、ニューラルネットワークなどの機械学習を用いてこのモデルを生成する。なお、このモデルの教師データの説明変数は、このモデルを使用するときに入力される説明変数と同じである。また、この教師データの目的変数は、子供に対する虐待又は育児放棄が行われていたか否かを示す情報である。 The childcare state estimation device 10 generates childcare state information using a model. The model generation device 60 generates this model using machine learning such as neural networks. The explanatory variables of the training data of this model are the same as the explanatory variables input when using this model. Also, the objective variable of this training data is information indicating whether or not the child was abused or neglected.
　端末２０は、対象者によって使用される。対象者は、子供を育児している大人、例えばその子供の父親又は母親である。端末２０は、例えばスマートフォンなどの携帯型の端末であるが、パーソナルコンピュータなどの据え置き型の端末であってもよい。 The terminal 20 is used by the subject. The target audience is an adult who is raising a child, such as the child's father or mother. The terminal 20 is, for example, a portable terminal such as a smart phone, but may be a stationary terminal such as a personal computer.
　対象者は、端末２０を用いて様々な作業を行う。この作業に関する情報は、端末２０及びサーバ３０の少なくとも一方に保存される。なお、図２において、サーバ３０は一つのみ示されているが、端末２０は複数のサーバ３０と共に使用されてもよい。この場合、複数のサーバ３０の管理者は互いに異なっていてもよい。 The subject uses the terminal 20 to perform various tasks. Information about this work is stored in at least one of the terminal 20 and the server 30 . Although only one server 30 is shown in FIG. 2 , the terminal 20 may be used together with a plurality of servers 30 . In this case, administrators of the multiple servers 30 may be different from each other.
　対象者が端末２０を用いて行う作業は、例えば以下の少なくとも一つである。
（１）インターネット上の情報を検索する行為。この検索履歴は、端末２０及びサーバ３０の少なくとも一方に保存される。
（２）子供を撮影する行為。ここで撮影された画像は、端末２０及びサーバ３０の少なくとも一方に保存される。
（３）ソーシャルネットワークサービスの利用。この利用は、テキストデータ及び画像の少なくとも一方を投稿する行為、並びに、他人がソーシャルネットワークに投稿したテキストデータ及び画像の少なくとも一方を検索する行為を含む。投稿された情報は、サーバ３０に保存される。また、端末２０による検索履歴は、端末２０及びサーバ３０の少なくとも一方に保存される。
（４）育児情報の記録。育児情報は、テキストデータ及び画像の少なくとも一方を含む。育児情報は、例えば、授乳記録、離乳食の内容、医療機関の受診履歴及びその結果、並びに、他人へ発信する情報を含んでいる。育児情報の記録は、例えば育児用のアプリケーションソフトウェアを用いて行われる。育児情報は、端末２０及びサーバ３０の少なくとも一方に保存される。 The work performed by the subject using the terminal 20 is, for example, at least one of the following.
(1) Acts of searching for information on the Internet. This search history is saved in at least one of the terminal 20 and the server 30 .
(2) Acts of photographing children. The image captured here is saved in at least one of the terminal 20 and the server 30 .
(3) Use of social network services. This use includes the act of posting at least one of text data and images, and the act of searching for at least one of text data and images posted by others on social networks. The posted information is saved in the server 30 . Also, the search history by the terminal 20 is saved in at least one of the terminal 20 and the server 30 .
(4) record childcare information; Childcare information includes at least one of text data and images. The childcare information includes, for example, records of breastfeeding, content of baby food, history and results of visits to medical institutions, and information to be transmitted to others. Childcare information is recorded using application software for childcare, for example. Childcare information is stored in at least one of terminal 20 and server 30 .
　相談所情報記憶装置４０は、児童相談所の職員が入力した情報であって、対象者及び子供の少なくとも一方に関する情報を記憶している。以下、この情報を、相談所情報と記載する。相談所情報記憶装置４０は、相談所情報の少なくとも一部として、例えば、対象者毎又は子供毎に、以下の情報を記憶している。
（Ａ）職員による訪問日時、及び記録。この記録には、対象者及び子供の状態を示すテキストデータ、及び職員による対象者への応対内容を示すテキストデータが含まれる。
（Ｂ）児童相談所への通報履歴。この通報は、子供が虐待されている可能性があることを示している。 The counseling center information storage device 40 stores information input by the staff of the child guidance center, which is related to at least one of the subject and the child. This information is hereinafter referred to as consultation center information. The counseling office information storage device 40 stores the following information as at least part of the counseling office information, for example, for each subject or child.
(A) Dates and records of visits by personnel; This record includes text data indicating the condition of the subject and the child, and text data indicating the content of the staff's response to the subject.
(B) Report history to the Child Guidance Center. The call indicates that the child may have been abused.
　健康情報記憶装置５０は、子供の健康情報を記憶している。健康情報は、以下の少なくとも一つを含んでいる。
（ａ）医療機関によって生成されたカルテ情報
（ｂ）乳幼児時の定期健康診断の記録。例えば母子手帳に記録されている情報
（ｃ）予防接種の接種履歴 The health information storage device 50 stores health information of children. Health information includes at least one of the following:
(a) medical record information generated by a medical institution; For example, information recorded in the maternal and child health handbook (c) Vaccination history
　そして育児状態推定装置１０の取得部１１０は、育児状態情報を生成するために必要な情報を取得する。この情報は、端末関連情報を含んでいる。端末関連情報は、図１を用いて説明したように、端末２０の操作履歴、端末２０に保存されている情報、及び端末２０に紐づいて外部に保存されている情報の少なくとも一つを含んでいる。そして端末関連情報の具体例は、上記した（１）～（４）の少なくとも一つを含んでいる。言い換えると、端末関連情報は、子供を含む画像、対象者によるＳＮＳの利用履歴、対象者による育児情報の検索履歴、及び対象者が生成した育児情報記録の少なくとも一つを含んでいる。 Then, the acquiring unit 110 of the parenting state estimation device 10 acquires information necessary for generating parenting state information. This information includes terminal-related information. The terminal-related information includes at least one of the operation history of the terminal 20, information stored in the terminal 20, and information stored externally in association with the terminal 20, as described using FIG. I'm in. A specific example of the terminal-related information includes at least one of (1) to (4) described above. In other words, the terminal-related information includes at least one of an image including a child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a childcare information record generated by the subject.
　また、取得部１１０は、必要に応じて、相談所情報記憶装置４０が記憶している相談所情報を取得する。また取得部１１０は、必要に応じて、健康情報記憶装置５０が記憶している健康情報を取得する。 In addition, the acquisition unit 110 acquires counseling center information stored in the counseling center information storage device 40 as necessary. The acquisition unit 110 also acquires health information stored in the health information storage device 50 as necessary.
　出力部１２０は、取得部１１０が取得した情報、及びモデル生成装置６０が生成したモデルを用いて育児関連情報を生成する。育児関連情報は、例えば対象者が子供を虐待している可能性を示している。育児関連情報は、例えば数字によってこの可能性の高低を示しているが、ランクによってこの可能性の高低を示していてもよい。 The output unit 120 generates childcare-related information using the information acquired by the acquisition unit 110 and the model generated by the model generation device 60 . Parenting-related information indicates, for example, that the subject may be abusing a child. The child-rearing-related information, for example, indicates the degree of possibility by numbers, but may indicate the degree of possibility by ranks.
　上記したモデルの説明変数は、取得部１１０が取得した情報、及びこの情報を処理することによって生成された２次情報、の少なくとも一方を含んでいる。すなわち、説明変数は、上記した端末関連情報を含んでいる。また説明変数は、さらに、上記した相談所情報及び健康情報の少なくとも一方を含んでいてもよい。 The explanatory variables of the model described above include at least one of the information acquired by the acquisition unit 110 and the secondary information generated by processing this information. That is, explanatory variables include the terminal-related information described above. The explanatory variables may further include at least one of the counseling center information and health information described above.
　また、説明変数として用いられる２次情報の例は、少なくとも以下の一つである。 In addition, examples of secondary information used as explanatory variables are at least one of the following.
　２次情報の第１例は、子供を含む画像を処理した結果である。具体的には、この画像処理は、子供の表情、あざの有無、及び傷の有無の少なくとも一方を検出する。子供の表情が明るい程、例えば笑顔の比率が高い程、対象者は子供の育児をきちんと行っている、と推定できる。また、子供にあざや傷がない場合、対象者は子供の育児をきちんと行っている、と推定できる。なお、出力部１２０は、この画像処理も行う。 The first example of secondary information is the result of processing an image containing children. Specifically, this image processing detects at least one of the child's facial expression, the presence or absence of a bruise, and the presence or absence of a wound. It can be estimated that the brighter the child's expression, for example, the higher the smile ratio, the more properly the subject is raising the child. Also, if the child has no bruises or scars, it can be presumed that the subject is taking care of the child properly. Note that the output unit 120 also performs this image processing.
　２次情報の第２例は、子供を含む画像の撮影頻度である。この場合、取得部１１０は、子供を含む画像を複数取得する。画像は、端末２０又はサーバ３０が画像データとして保存されていてもよいし、サーバ３０にＳＮＳへの投稿履歴の一部として保存されていてもよい。この際、取得部１１０は、端末２０が保存している画像及びサーバ３０が保存している画像に対して画像処理を行い、子供を含む画像を特定し、特定した画像を取得してもよい。これら複数の画像は、互いに異なるタイミングで生成されている。そして取得部１１０は、複数の画像に加えて、これら複数の画像それぞれの撮影日時又はＳＮＳへの投稿タイミングを示す情報も取得する。そして出力部１２０は、この情報を用いて画像の撮影頻度を算出する。この撮影頻度が多い程すなわち撮影間隔が短い程、対象者は子供の育児をきちんと行っている、と推定できる。 A second example of secondary information is the shooting frequency of images that include children. In this case, the acquiring unit 110 acquires a plurality of images including children. The image may be stored as image data in the terminal 20 or the server 30, or may be stored in the server 30 as part of the posting history to the SNS. At this time, the acquiring unit 110 may perform image processing on the images stored in the terminal 20 and the images stored in the server 30, specify images including children, and acquire the specified images. . These multiple images are generated at different timings. In addition to the plurality of images, the acquisition unit 110 also acquires information indicating the shooting date and time of each of the plurality of images or the timing of posting to the SNS. Then, the output unit 120 uses this information to calculate the image capturing frequency. It can be estimated that the higher the photographing frequency, that is, the shorter the photographing interval, the more properly the subject is raising the child.
　２次情報の第３例は、ＳＮＳの投稿履歴に含まれるテキストデータに対するネガティブ／ポジティブ判定の結果である。この場合、取得部１１０は、ＳＮＳの投稿履歴に含まれるテキストデータを取得する。出力部１２０は、このテキストデータから、育児又は子供に関するテキストデータを特定し、特定したテキストデータに対してネガティブ／ポジティブ判定を行う。この判定結果においてポジティブ度が高い程、対象者は子供の育児をきちんと行っている、と推定できる。 A third example of secondary information is the result of negative/positive determination of text data included in the SNS posting history. In this case, the acquisition unit 110 acquires text data included in the SNS posting history. The output unit 120 identifies text data relating to childcare or children from this text data, and performs a negative/positive determination on the identified text data. It can be estimated that the higher the degree of positivity in this determination result, the more properly the subject is raising the child.
　２次情報の第４例は、育児情報の検索及び閲覧の間隔である。この場合、取得部１１０は、端末２０によるインターネットの検索履歴及び閲覧履歴を取得する。そして出力部１２０は、育児に関連するキーワードを用いた検索履歴、及び育児関連のサイトの閲覧履歴を取得する。そして出力部１２０は、これら検索及び閲覧の間隔を算出する。この間隔が短い程、対象者は子供の育児をきちんと行っている、と推定できる。 A fourth example of secondary information is the search and viewing intervals for childcare information. In this case, the acquisition unit 110 acquires the Internet search history and browsing history of the terminal 20 . Then, the output unit 120 acquires a search history using keywords related to childcare and a browsing history of sites related to childcare. The output unit 120 then calculates the search and browsing intervals. It can be estimated that the shorter this interval is, the more properly the subject is raising the child.
　２次情報の第５例は、対象者による育児情報の記録の更新間隔である。取得部１１０は、端末２０を介した育児情報の記録の更新履歴を取得する。そして出力部１２０は、この更新履歴を用いて、育児情報の記録の更新間隔を算出する。この間隔が短い程、対象者は子供の育児をきちんと行っている、と推定できる。 A fifth example of secondary information is the update interval of the childcare information record by the subject. Acquisition unit 110 acquires an update history of childcare information records via terminal 20 . The output unit 120 then uses this update history to calculate the update interval of the childcare information record. It can be estimated that the shorter this interval is, the more properly the subject is raising the child.
　２次情報の第６例は、対象者が生成した育児情報に含まれるテキストデータに対するネガティブ／ポジティブ判定の結果である。詳細には、取得部１１０は、対象者が生成した育児情報に含まれるテキストデータを取得する。出力部１２０は、このテキストデータから、育児又は子供に関するテキストデータを特定し、特定したテキストデータに対してネガティブ／ポジティブ判定を行う。この判定結果においてポジティブ度が高い程、対象者は子供の育児をきちんと行っている、と推定できる。 The sixth example of secondary information is the result of negative/positive determination of text data included in childcare information generated by the subject. Specifically, the acquisition unit 110 acquires text data included in the childcare information generated by the subject. The output unit 120 identifies text data relating to childcare or children from this text data, and performs a negative/positive determination on the identified text data. It can be estimated that the higher the degree of positivity in this determination result, the more properly the subject is raising the child.
　図３は、育児状態推定装置１０のハードウェア構成例を示す図である。育児状態推定装置１０は、バス１０１０、プロセッサ１０２０、メモリ１０３０、ストレージデバイス１０４０、入出力インタフェース１０５０、及びネットワークインタフェース１０６０を有する。 FIG. 3 is a diagram showing a hardware configuration example of the parenting state estimation device 10. As shown in FIG. Parenting state estimation device 10 has bus 1010 , processor 1020 , memory 1030 , storage device 1040 , input/output interface 1050 and network interface 1060 .
　バス１０１０は、プロセッサ１０２０、メモリ１０３０、ストレージデバイス１０４０、入出力インタフェース１０５０、及びネットワークインタフェース１０６０が、相互にデータを送受信するためのデータ伝送路である。ただし、プロセッサ１０２０などを互いに接続する方法は、バス接続に限定されない。 The bus 1010 is a data transmission path for the processor 1020, the memory 1030, the storage device 1040, the input/output interface 1050, and the network interface 1060 to exchange data with each other. However, the method of connecting processors 1020 and the like to each other is not limited to bus connection.
　プロセッサ１０２０は、ＣＰＵ（Central Processing Unit）やＧＰＵ（Graphics Processing Unit）などで実現されるプロセッサである。 The processor 1020 is a processor realized by a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or the like.
　メモリ１０３０は、ＲＡＭ（Random Access Memory）などで実現される主記憶装置である。 The memory 1030 is a main memory implemented by RAM (Random Access Memory) or the like.
　ストレージデバイス１０４０は、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）、メモリカードなどのリムーバブルメディア、又はＲＯＭ（Read Only Memory）などで実現される補助記憶装置である。ストレージデバイス１０４０は育児状態推定装置１０の各機能（例えば取得部１１０及び出力部１２０）を実現するプログラムモジュールを記憶している。プロセッサ１０２０がこれら各プログラムモジュールをメモリ１０３０上に読み込んで実行することで、そのプログラムモジュールに対応する各機能が実現される。また、ストレージデバイス１０４０は出力部１２０が用いるモデルを記憶する記憶手段としても機能する。 The storage device 1040 is a removable medium such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, or an auxiliary storage device realized by a ROM (Read Only Memory). The storage device 1040 stores program modules that implement each function of the parenting state estimation device 10 (for example, the acquisition unit 110 and the output unit 120). Each function corresponding to the program module is realized by the processor 1020 reading each program module into the memory 1030 and executing it. The storage device 1040 also functions as storage means for storing models used by the output unit 120 .
　入出力インタフェース１０５０は、育児状態推定装置１０と各種入出力機器とを接続するためのインタフェースである。 The input/output interface 1050 is an interface for connecting the parenting state estimation device 10 and various input/output devices.
　ネットワークインタフェース１０６０は、育児状態推定装置１０をネットワークに接続するためのインタフェースである。このネットワークは、例えばＬＡＮ（Local Area Network）やＷＡＮ（Wide Area Network）である。ネットワークインタフェース１０６０がネットワークに接続する方法は、無線接続であってもよいし、有線接続であってもよい。育児状態推定装置１０は、ネットワークインタフェース１０６０を介して端末２０、サーバ３０、相談所情報記憶装置４０、健康情報記憶装置５０、及びモデル生成装置６０と通信してもよい。 The network interface 1060 is an interface for connecting the parenting state estimation device 10 to a network. This network is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network). A method for connecting the network interface 1060 to the network may be a wireless connection or a wired connection. Parenting state estimation device 10 may communicate with terminal 20 , server 30 , counseling center information storage device 40 , health information storage device 50 , and model generation device 60 via network interface 1060 .
　図４は、育児状態推定装置１０が行う処理の一例を示すフローチャートである。育児状態推定装置１０は、例えば児童相談所の職員によって利用されるが、対象者によって利用されてもよい。また、育児状態推定装置１０は、定期的に本図に示す処理を行ってもよい。 FIG. 4 is a flowchart showing an example of processing performed by the childcare state estimation device 10. FIG. Childcare state estimation device 10 is used, for example, by a staff member of a child guidance center, but may be used by a subject. Parenting state estimation device 10 may also periodically perform the processing shown in the figure.
　まず取得部１１０は、育児状態情報を生成するために必要な情報を取得する。この情報の例は、図２を用いて説明した通りである（ステップＳ１０）。 First, the acquisition unit 110 acquires information necessary to generate childcare status information. An example of this information is as described with reference to FIG. 2 (step S10).
　次いで出力部１２０は、取得部１１０が取得した情報を用いて、育児状態情報を生成する。この際、出力部１２０は、モデル生成装置６０が生成したモデルを使用する。このモデルの目的変数は育児状態情報である。またこのモデルの説明変数の例は、図２を用いて説明した通りである（ステップＳ２０）。 Next, the output unit 120 uses the information acquired by the acquisition unit 110 to generate childcare status information. At this time, the output unit 120 uses the model generated by the model generation device 60 . The objective variable of this model is parenting status information. Also, examples of explanatory variables of this model are as described with reference to FIG. 2 (step S20).
　次いで出力部１２０は、育児状態情報を出力する。例えば出力部１２０は、端末２０に育児状態情報を出力してもよいし、児童相談所の職員が利用する職員端末７０に育児状態情報を出力してもよい（ステップＳ３０）。 Then, the output unit 120 outputs childcare status information. For example, the output unit 120 may output the child care status information to the terminal 20, or may output the child care status information to the staff terminal 70 used by the child guidance center staff (Step S30).
　なお、育児状態情報が出力された後、育児状態推定装置１０は、取得部１１０が取得した情報を消去してもよい。 After the childcare state information is output, the childcare state estimation device 10 may erase the information acquired by the acquisition unit 110 .
　以上、育児状態推定装置１０は、育児状態情報を生成する際に、対象者の端末の操作履歴、端末に保存されている情報、及び端末に紐づいて外部に保存されている情報の少なくとも一つを用いる。これらの情報は、対象者による育児の程度や子供に対する関心の高さが反映されている可能性が高い。このため、育児状態推定装置１０を用いると、子供の育児状態を高い精度で推定することができる。 As described above, when generating the childcare state information, the childcare state estimation device 10 generates at least one of the operation history of the target person's terminal, the information stored in the terminal, and the information stored externally in association with the terminal. use one. It is highly likely that this information reflects the extent of childcare and the level of interest in the child by the subject. Therefore, by using the child-rearing state estimation device 10, the child's child-rearing state can be estimated with high accuracy.
　以上、図面を参照して本発明の実施形態について述べたが、これらは本発明の例示であり、上記以外の様々な構成を採用することもできる。 Although the embodiments of the present invention have been described above with reference to the drawings, these are examples of the present invention, and various configurations other than those described above can be adopted.
　また、上述の説明で用いたフローチャートでは、複数の工程（処理）が順番に記載されているが、各実施形態で実行される工程の実行順序は、その記載の順番に制限されない。各実施形態では、図示される工程の順番を内容的に支障のない範囲で変更することができる。また、上述の各実施形態は、内容が相反しない範囲で組み合わせることができる。 Also, in the flowchart used in the above description, a plurality of steps (processes) are described in order, but the execution order of the steps executed in each embodiment is not limited to the described order. In each embodiment, the order of the illustrated steps can be changed within a range that does not interfere with the content. Moreover, each of the above-described embodiments can be combined as long as the contents do not contradict each other.
　上記の実施形態の一部または全部は、以下の付記のようにも記載されうるが、以下に限られない。
　１．対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得手段と、
　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力手段と、
を備える育児状態推定装置。
２．上記１に記載の育児状態推定装置において、
　前記端末関連情報は、前記子供を含む画像、前記対象者によるＳＮＳの利用履歴、前記対象者による育児情報の検索履歴、及び前記対象者が生成した育児情報の記録の少なくとも一つを含む、育児状態推定装置。
３．上記２に記載の育児状態推定装置において、
　前記端末関連情報は前記画像を含み、
　前記出力手段は、前記画像を処理した結果を用いて前記育児状態情報を生成する、育児状態推定装置。
４．上記２に記載の育児状態推定装置において、
　前記端末関連情報は、異なるタイミングで生成された複数の前記画像を含み、
　前記出力手段は、前記複数の画像の生成間隔を用いて前記育児状態情報を生成する、育児状態推定装置。
５．上記２に記載の育児状態推定装置において、
　前記端末関連情報は、前記対象者によるＳＮＳの利用履歴を含み、
　前記出力手段は、
　　前記利用履歴に含まれるテキストデータのうち、育児又は前記子供に関するテキストデータを特定し、
　　前記育児又は子供に関するテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定装置。
６．上記２に記載の育児状態推定装置において、
　前記端末関連情報は前記育児情報の検索及び閲覧の履歴を含み、
　前記出力手段は、前記育児情報の検索及び閲覧の間隔を用いて前記育児状態情報を生成する、育児状態推定装置。
７．上記２に記載の育児状態推定装置において、
　前記端末関連情報は前記対象者による育児情報の記録を含み、
　前記出力手段は、当該育児情報の更新間隔を用いて前記育児状態情報を生成する、育児状態推定装置。
８．上記２に記載の育児状態推定装置において、
　前記端末関連情報は前記対象者が生成した前記育児情報の記録を含み、
　前記出力手段は、前記育児情報の記録に含まれるテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定装置。
９．上記１～８のいずれか一項に記載の育児状態推定装置において、
　前記取得手段は、さらに、前記子供の健康情報を取得し、
　前記出力手段は、さらに前記健康情報を用いて前記育児状態情報を生成する、育児状態推定装置。
１０．上記９に記載の育児状態推定装置において、
　前記健康情報は、予防接種の履歴、健康診断の履歴、及び医療機関が生成したカルテ情報の少なくとも一つを含む、育児状態推定装置。
１１．上記１～１０のいずれか一項に記載の育児状態推定装置において、
　前記取得手段は、さらに、児童相談所の職員が入力した情報であって、前記対象者又は前記子供に関する情報である相談所情報を取得し、
　前記出力手段は、さらに前記相談所情報を用いて前記育児状態情報を生成する、育児状態推定装置。
１２．上記１～１１のいずれか一項に記載の育児状態推定装置において、
　前記出力手段は、機械学習により生成されたモデルを用いて前記育児状態情報を生成する、育児状態推定装置。
１３．コンピュータが、
　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得し、
　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する、育児状態推定方法。
１４．上記１３に記載の育児状態推定方法において、
　前記端末関連情報は、前記子供を含む画像、前記対象者によるＳＮＳの利用履歴、前記対象者による育児情報の検索履歴、及び前記対象者が生成した育児情報の記録の少なくとも一つを含む、育児状態推定方法。
１５．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は前記画像を含み、
　前記コンピュータは、前記画像を処理した結果を用いて前記育児状態情報を生成する、育児状態推定方法。
１６．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は、異なるタイミングで生成された複数の前記画像を含み、
　前記コンピュータは、前記複数の画像の生成間隔を用いて前記育児状態情報を生成する、育児状態推定方法。
１７．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は、前記対象者によるＳＮＳの利用履歴を含み、
　前記コンピュータは、
　　前記利用履歴に含まれるテキストデータのうち、育児又は前記子供に関するテキストデータを特定し、
　　前記育児又は子供に関するテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定方法。
１８．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は前記育児情報の検索及び閲覧の履歴を含み、
　前記コンピュータは、前記育児情報の検索及び閲覧の間隔を用いて前記育児状態情報を生成する、育児状態推定方法。
１９．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は前記対象者による育児情報の記録を含み、
　前記コンピュータは、当該育児情報の更新間隔を用いて前記育児状態情報を生成する、育児状態推定方法。
２０．上記１４に記載の育児状態推定方法において、
　前記端末関連情報は前記対象者が生成した前記育児情報の記録を含み、
　前記コンピュータは、前記育児情報の記録に含まれるテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定方法。
２１．上記１３～２０のいずれか一項に記載の育児状態推定方法において、
　前記コンピュータは、さらに、前記子供の健康情報を取得し、当該健康情報を用いて前記育児状態情報を生成する、育児状態推定方法。
２２．上記２１に記載の育児状態推定方法において、
　前記健康情報は、予防接種の履歴、健康診断の履歴、及び医療機関が生成したカルテ情報の少なくとも一つを含む、育児状態推定方法。
２３．上記１３～２２のいずれか一項に記載の育児状態推定方法において、
　前記コンピュータは、さらに、児童相談所の職員が入力した情報であって、前記対象者又は前記子供に関する情報である相談所情報を取得し、当該相談所情報を用いて前記育児状態情報を生成する、育児状態推定方法。
２４．上記１３～２３のいずれか一項に記載の育児状態推定方法において、
　前記コンピュータは、機械学習により生成されたモデルを用いて前記育児状態情報を生成する、育児状態推定方法。
２５．コンピュータが実行可能なプログラムを記録した記録媒体であって、
　前記プログラムは、前記コンピュータに、
　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得機能と、
　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力機能と、
を持たせる記録媒体。
２６．上記２５に記載の記録媒体において、
　前記端末関連情報は、前記子供を含む画像、前記対象者によるＳＮＳの利用履歴、前記対象者による育児情報の検索履歴、及び前記対象者が生成した育児情報の記録の少なくとも一つを含む、記録媒体。
２７．上記２６に記載の記録媒体において、
　前記端末関連情報は前記画像を含み、
　前記出力機能は、前記画像を処理した結果を用いて前記育児状態情報を生成する、記録媒体。
２８．上記２６に記載の記録媒体において、
　前記端末関連情報は、異なるタイミングで生成された複数の前記画像を含み、
　前記出力機能は、前記複数の画像の生成間隔を用いて前記育児状態情報を生成する、記録媒体。
２９．上記２６に記載の記録媒体において、
　前記端末関連情報は、前記対象者によるＳＮＳの利用履歴を含み、
　前記出力機能は、
　　前記利用履歴に含まれるテキストデータのうち、育児又は前記子供に関するテキストデータを特定し、
　　前記育児又は子供に関するテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、記録媒体。
３０．上記２６に記載の記録媒体において、
　前記端末関連情報は前記育児情報の検索及び閲覧の履歴を含み、
　前記出力機能は、前記育児情報の検索及び閲覧の間隔を用いて前記育児状態情報を生成する、記録媒体。
３１．上記２６に記載の記録媒体において、
　前記端末関連情報は前記対象者による育児情報の記録を含み、
　前記出力機能は、当該育児情報の更新間隔を用いて前記育児状態情報を生成する、記録媒体。
３２．上記２６に記載の記録媒体において、
　前記端末関連情報は前記対象者が生成した前記育児情報の記録を含み、
　前記出力機能は、前記育児情報の記録に含まれるテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、記録媒体。
３３．上記２５～３２のいずれか一項に記載の記録媒体において、
　前記取得機能は、さらに、前記子供の健康情報を取得し、
　前記出力機能は、さらに前記健康情報を用いて前記育児状態情報を生成する、記録媒体。
３４．上記３３に記載の記録媒体において、
　前記健康情報は、予防接種の履歴、健康診断の履歴、及び医療機関が生成したカルテ情報の少なくとも一つを含む、記録媒体。
３５．上記２５～３４のいずれか一項に記載の記録媒体において、
　前記取得機能は、さらに、児童相談所の職員が入力した情報であって、前記対象者又は前記子供に関する情報である相談所情報を取得し、
　前記出力機能は、さらに前記相談所情報を用いて前記育児状態情報を生成する、記録媒体。
３６．上記２５～３５のいずれか一項に記載の記録媒体において、
　前記出力機能は、機械学習により生成されたモデルを用いて前記育児状態情報を生成する、記録媒体。
３７．上記２５～３６のいずれか一項に記載のプログラム。 Some or all of the above embodiments can also be described as the following additional remarks, but are not limited to the following.
1. Acquisition means for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal;
output means for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
A childcare state estimation device comprising:
2. In the parenting state estimation device according to 1 above,
The terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. State estimator.
3. In the parenting state estimation device according to 2 above,
the terminal-related information includes the image;
The childcare state estimation device, wherein the output means generates the childcare state information using a result of processing the image.
4. In the parenting state estimation device according to 2 above,
The terminal-related information includes a plurality of the images generated at different timings,
The child-rearing state estimation device, wherein the output means generates the child-rearing state information using a generation interval of the plurality of images.
5. In the parenting state estimation device according to 2 above,
The terminal-related information includes a history of SNS usage by the subject,
The output means is
identifying text data relating to childcare or the child from among the text data included in the usage history;
A parenting state estimation device that performs a negative/positive determination on text data relating to child care or a child, and generates the parenting state information using the result of the determination.
6. In the parenting state estimation device according to 2 above,
the terminal-related information includes a history of searches and browsing of the childcare information;
The child-rearing state estimation device, wherein the output means generates the child-rearing state information using intervals between searches and browsing of the child-rearing information.
7. In the parenting state estimation device according to 2 above,
the terminal-related information includes a record of childcare information by the subject;
The childcare state estimation device, wherein the output means generates the childcare state information using an update interval of the childcare information.
8. In the parenting state estimation device according to 2 above,
the terminal-related information includes a record of the childcare information generated by the subject;
The childcare state estimation device, wherein the output means performs a negative/positive determination on text data included in the record of the childcare information, and generates the childcare state information using the result of the determination.
9. In the childcare state estimation device according to any one of the above 1 to 8,
The acquisition means further acquires the child's health information,
The child-rearing state estimation device, wherein the output means further generates the child-rearing state information using the health information.
10. In the parenting state estimation device according to 9 above,
The childcare state estimation device, wherein the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
11. In the childcare state estimation device according to any one of the above 1 to 10,
The acquisition means further acquires counseling center information, which is information input by a child guidance center staff member and is information about the subject or the child,
The childcare state estimation device, wherein the output means further generates the childcare state information using the consultation office information.
12. In the childcare state estimation device according to any one of 1 to 11 above,
The childcare state estimation device, wherein the output means generates the childcare state information using a model generated by machine learning.
13. the computer
Acquiring terminal-related information including at least one of the operation history of the target person's terminal, information stored in the terminal, and information stored externally linked to the terminal,
A method of estimating a child-rearing state, wherein child-rearing state information indicating a child-rearing state of a child of the target person by the target person is generated and output using the terminal-related information.
14. In the parenting state estimation method according to 13 above,
The terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. State estimation method.
15. In the parenting state estimation method according to 14 above,
the terminal-related information includes the image;
The childcare state estimation method, wherein the computer generates the childcare state information using a result of processing the image.
16. In the parenting state estimation method according to 14 above,
The terminal-related information includes a plurality of the images generated at different timings,
The parenting state estimation method, wherein the computer generates the parenting state information using a generation interval of the plurality of images.
17. In the parenting state estimation method according to 14 above,
The terminal-related information includes a history of SNS usage by the subject,
The computer is
identifying text data relating to childcare or the child from among the text data included in the usage history;
A method of estimating a childcare state, wherein a negative/positive judgment is made on the text data relating to the childcare or the child, and the childcare state information is generated using the result of the judgment.
18. In the parenting state estimation method according to 14 above,
the terminal-related information includes a history of searches and browsing of the childcare information;
The parenting state estimation method, wherein the computer generates the parenting state information using an interval of searching and viewing the parenting information.
19. In the parenting state estimation method according to 14 above,
the terminal-related information includes a record of childcare information by the subject;
The childcare state estimation method, wherein the computer generates the childcare state information using an update interval of the childcare information.
20. In the parenting state estimation method according to 14 above,
the terminal-related information includes a record of the childcare information generated by the subject;
The childcare state estimation method, wherein the computer makes a negative/positive judgment on text data included in the childcare information record, and generates the childcare state information using the result of the judgment.
21. In the parenting state estimation method according to any one of 13 to 20 above,
The parenting state estimation method, wherein the computer further acquires health information of the child and generates the parenting state information using the health information.
22. In the parenting state estimation method described in 21 above,
The health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
23. In the parenting state estimation method according to any one of 13 to 22 above,
The computer further acquires counseling center information, which is information about the subject or the child, which is information input by a staff member of the child guidance center, and generates the childcare status information using the information of the counseling center. , Parenting State Estimation Method.
24. In the parenting state estimation method according to any one of 13 to 23 above,
The parenting state estimation method, wherein the computer generates the parenting state information using a model generated by machine learning.
25. A recording medium recording a computer-executable program,
The program causes the computer to:
an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal;
an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
A recording medium that has
26. In the recording medium described in 25 above,
The terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. medium.
27. In the recording medium described in 26 above,
the terminal-related information includes the image;
The recording medium, wherein the output function generates the parenting state information using a result of processing the image.
28. In the recording medium described in 26 above,
The terminal-related information includes a plurality of the images generated at different timings,
The recording medium, wherein the output function generates the childcare status information using a generation interval of the plurality of images.
29. In the recording medium described in 26 above,
The terminal-related information includes a history of SNS usage by the subject,
The output function is
identifying text data relating to childcare or the child from among the text data included in the usage history;
A recording medium for performing a negative/positive determination on the text data relating to the child care or the child, and generating the child care status information using the result of the determination.
30. In the recording medium described in 26 above,
the terminal-related information includes a history of searches and browsing of the childcare information;
The recording medium, wherein the output function generates the childcare status information using an interval between searches and browsing of the childcare information.
31. In the recording medium described in 26 above,
the terminal-related information includes a record of childcare information by the subject;
A recording medium in which the output function generates the childcare status information using an update interval of the childcare information.
32. In the recording medium described in 26 above,
the terminal-related information includes a record of the childcare information generated by the subject;
The recording medium, wherein the output function performs a negative/positive determination on text data included in the record of the childcare information, and generates the childcare status information using the result of the determination.
33. In the recording medium according to any one of 25 to 32 above,
The obtaining function further obtains health information of the child,
The recording medium, wherein the output function further uses the health information to generate the parenting status information.
34. In the recording medium described in 33 above,
A recording medium, wherein the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
35. In the recording medium according to any one of 25 to 34 above,
The acquisition function further acquires counseling center information, which is information input by a child guidance center staff member and is information about the subject or the child,
A recording medium, wherein the output function further generates the childcare status information using the consultation office information.
36. In the recording medium according to any one of 25 to 35 above,
The recording medium, wherein the output function generates the childcare status information using a model generated by machine learning.
37. 37. The program according to any one of 25-36 above.
１０　育児状態推定装置
２０　端末
３０　サーバ
４０　相談所情報記憶装置
５０　健康情報記憶装置
６０　モデル生成装置
７０　職員端末
１１０　取得部
１２０　出力部 10 Parenting state estimation device 20 Terminal 30 Server 40 Counseling center information storage device 50 Health information storage device 60 Model generation device 70 Staff terminal 110 Acquisition unit 120 Output unit

Claims (14)

  1. 　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得手段と、
    　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力手段と、
    を備える育児状態推定装置。     Acquisition means for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal;
    output means for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
    A childcare state estimation device comprising:
  2. 　請求項１に記載の育児状態推定装置において、
    　前記端末関連情報は、前記子供を含む画像、前記対象者によるＳＮＳの利用履歴、前記対象者による育児情報の検索履歴、及び前記対象者が生成した育児情報の記録の少なくとも一つを含む、育児状態推定装置。     In the parenting state estimation device according to claim 1,
    The terminal-related information includes at least one of an image including the child, a history of SNS usage by the subject, a search history of childcare information by the subject, and a record of childcare information generated by the subject. State estimator.
  3. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は前記画像を含み、
    　前記出力手段は、前記画像を処理した結果を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    the terminal-related information includes the image;
    The childcare state estimation device, wherein the output means generates the childcare state information using a result of processing the image.
  4. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は、異なるタイミングで生成された複数の前記画像を含み、
    　前記出力手段は、前記複数の画像の生成間隔を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    The terminal-related information includes a plurality of the images generated at different timings,
    The child-rearing state estimation device, wherein the output means generates the child-rearing state information using a generation interval of the plurality of images.
  5. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は、前記対象者によるＳＮＳの利用履歴を含み、
    　前記出力手段は、
    　　前記利用履歴に含まれるテキストデータのうち、育児又は前記子供に関するテキストデータを特定し、
    　　前記育児又は子供に関するテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    The terminal-related information includes a history of SNS usage by the subject,
    The output means is
    identifying text data relating to childcare or the child from among the text data included in the usage history;
    A parenting state estimation device that performs a negative/positive determination on text data relating to child care or a child, and generates the parenting state information using the result of the determination.
  6. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は前記育児情報の検索及び閲覧の履歴を含み、
    　前記出力手段は、前記育児情報の検索及び閲覧の間隔を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    the terminal-related information includes a history of searches and browsing of the childcare information;
    The child-rearing state estimation device, wherein the output means generates the child-rearing state information using intervals between searches and browsing of the child-rearing information.
  7. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は前記対象者による育児情報の記録を含み、
    　前記出力手段は、当該育児情報の更新間隔を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    the terminal-related information includes a record of childcare information by the subject;
    The childcare state estimation device, wherein the output means generates the childcare state information using an update interval of the childcare information.
  8. 　請求項２に記載の育児状態推定装置において、
    　前記端末関連情報は前記対象者が生成した前記育児情報の記録を含み、
    　前記出力手段は、前記育児情報の記録に含まれるテキストデータに対してネガティブ／ポジティブ判定を行い、当該判定の結果を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to claim 2,
    the terminal-related information includes a record of the childcare information generated by the subject;
    The childcare state estimation device, wherein the output means performs a negative/positive determination on text data included in the record of the childcare information, and generates the childcare state information using the result of the determination.
  9. 　請求項１～８のいずれか一項に記載の育児状態推定装置において、
    　前記取得手段は、さらに、前記子供の健康情報を取得し、
    　前記出力手段は、さらに前記健康情報を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to any one of claims 1 to 8,
    The acquisition means further acquires the child's health information,
    The child-rearing state estimation device, wherein the output means further generates the child-rearing state information using the health information.
  10. 　請求項９に記載の育児状態推定装置において、
    　前記健康情報は、予防接種の履歴、健康診断の履歴、及び医療機関が生成したカルテ情報の少なくとも一つを含む、育児状態推定装置。     In the childcare state estimation device according to claim 9,
    The childcare state estimation device, wherein the health information includes at least one of vaccination history, health checkup history, and chart information generated by a medical institution.
  11. 　請求項１～１０のいずれか一項に記載の育児状態推定装置において、
    　前記取得手段は、さらに、児童相談所の職員が入力した情報であって、前記対象者又は前記子供に関する情報である相談所情報を取得し、
    　前記出力手段は、さらに前記相談所情報を用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to any one of claims 1 to 10,
    The acquisition means further acquires counseling center information, which is information input by a child guidance center staff member and is information about the subject or the child,
    The childcare state estimation device, wherein the output means further generates the childcare state information using the consultation center information.
  12. 　請求項１～１１のいずれか一項に記載の育児状態推定装置において、
    　前記出力手段は、機械学習により生成されたモデルを用いて前記育児状態情報を生成する、育児状態推定装置。     In the childcare state estimation device according to any one of claims 1 to 11,
    The childcare state estimation device, wherein the output means generates the childcare state information using a model generated by machine learning.
  13. 　コンピュータが、
    　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得し、
    　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する、育児状態推定方法。     the computer
    Acquiring terminal-related information including at least one of the operation history of the target person's terminal, information stored in the terminal, and information stored externally linked to the terminal,
    A method of estimating a child-rearing state, wherein child-rearing state information indicating a child-rearing state of a child of the target person by the target person is generated and output using the terminal-related information.
  14. 　コンピュータが実行可能なプログラムを記録した記録媒体であって、
    　前記プログラムは、前記コンピュータに、
    　　対象者の端末の操作履歴、前記端末に保存されている情報、及び前記端末に紐づいて外部に保存されている情報の少なくとも一つを含む端末関連情報を取得する取得機能と、
    　　前記端末関連情報を用いて、前記対象者による当該対象者の子供の育児状態を示す育児状態情報を生成して出力する出力機能と、
    を持たせる記録媒体。     A recording medium recording a computer-executable program,
    The program causes the computer to:
    an acquisition function for acquiring terminal-related information including at least one of an operation history of a target person's terminal, information stored in the terminal, and information stored externally in association with the terminal;
    an output function for generating and outputting child-rearing state information indicating a child-rearing state of the target person's child by the target person using the terminal-related information;
    A recording medium that has
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Publication number Priority date Publication date Assignee Title
JP2003346256A (en) * 2002-05-29 2003-12-05 Soriton Syst:Kk Recognition of abnormal state and its solving method
JP2014191467A (en) * 2013-03-26 2014-10-06 Hitachi Solutions Ltd Maternity passbook computerizing system
JP2020184185A (en) * 2019-05-08 2020-11-12 国立研究開発法人産業技術総合研究所 Information processing method and device in child consultation office
JP2021068333A (en) * 2019-10-26 2021-04-30 Ａｓｓｅｓｔ株式会社 Child abuse sign determination program and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003346256A (en) * 2002-05-29 2003-12-05 Soriton Syst:Kk Recognition of abnormal state and its solving method
JP2014191467A (en) * 2013-03-26 2014-10-06 Hitachi Solutions Ltd Maternity passbook computerizing system
JP2020184185A (en) * 2019-05-08 2020-11-12 国立研究開発法人産業技術総合研究所 Information processing method and device in child consultation office
JP2021068333A (en) * 2019-10-26 2021-04-30 Ａｓｓｅｓｔ株式会社 Child abuse sign determination program and system

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