Developmental characteristics testing system, developmental characteristics testing method, server device, and program

JP2026147560AActive Publication Date: 2026-09-17LITALICO CO LTD
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Patent Information

Application Number
JP2025035525
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2026-09-17
Estimated Expiration
2045-03-06

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【0012】 本発明によれば、子供の発達特性に係る困りの強さを検査し、困りや特性の背景の要因やサポートの方向性を提示する技術を提供することができる。

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Abstract

This technology assesses the severity of developmental difficulties in children and provides information on the underlying factors and directions for support related to these difficulties and characteristics. [Solution] The server device includes a classification score calculation unit 11d-1 that calculates classification raw scores based on the answers to the corresponding question items for each subcategory, calculates a classification score based on the classification raw scores, determines the severity of the problem for each subcategory from the classification score, and determines the severity of the problem for each major category; a background calculation unit 11d-2 that calculates background raw scores for each background from the scores of the question items corresponding to the background, calculates a background score corresponding to the background raw scores, and sets the display settings for the background to be presented to the user based on the background score; and a support calculation unit 11d-3 that calculates the sum of the background scores for the backgrounds corresponding to the support as the support raw score for each support, calculates a support score corresponding to the support raw score, and sets the display settings for the support to be presented to the user.
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Description

[Technical Field]

[0001] The present invention relates to a technology for inspecting the severity of children's difficulties related to developmental characteristics, and presenting the difficulties, characteristics, underlying factors, direction of support, and the like. [Background Art]

[0002] Conventionally, general inspections on child development measure the degree of discrepancy between chronological age and developmental age for a wide range of development including social communication skills and the like in addition to motor development. Inspecting children's developmental characteristics is effective for enabling children to live healthy lives while making use of their individuality, and various technologies have been proposed for this purpose.

[0003] Here, for example, Patent Document 1 discloses software and the like that are used for evaluating individuals such as children with behavioral problems or developmental delays, and are used for analysis to support positive or negative diagnosis of an individual with one or more behavioral problems or developmental delays. [Prior Art Documents] [Patent Documents]

[0004] [Patent Document 1] Japanese National Publication of International Patent Application No. 2022-54896 [Summary of the Invention] [Problem to be Solved by the Invention]

[0005] However, the prior art does not provide optimal information tailored to each individual child, such as the background of characteristics and the direction of support, and does not disclose anything about contributing to building a society where all children can spend healthy lives while making use of their individuality, regardless of the surrounding environment or individual characteristics.

[0006] This invention has been made in view of these problems, and its purpose is to provide a technology that tests the severity of difficulties related to a child's developmental characteristics and suggests the underlying factors and directions for support for those difficulties and characteristics. [Means for solving the problem]

[0007] To solve the above problems, a server device according to a first aspect of the present invention includes: a receiving unit that receives questionnaire response information from a terminal device; a storage unit that stores information including: attribute information of the person being tested; major categories of problems; minor categories corresponding to the major categories; questionnaire questions corresponding to the minor categories; a first score conversion table for calculating a classification score from classification raw scores; a second score conversion table for calculating a background score from background raw scores; a third score conversion table for calculating a support score from support raw scores; the relationship between the classification score and the severity of the problem; a question item corresponding to the background; and a background corresponding to the support; a storage unit that calculates classification raw scores based on the answers to the question items corresponding to the minor categories included in the questionnaire response information; calculates a classification score by referring to the first score conversion table based on the classification raw scores; determines the severity of the problem for each minor category from the classification score; and sets the severity of the problem for each major category to the severity of the problem corresponding to the highest score among the severity of the problem for each minor category belonging to the major category. The system includes: a calculation unit; a background calculation unit that calculates a background score by referring to the second score conversion table, dividing the background score by the number of associated questions for each background, and then multiplying by a predetermined weight coefficient, and then setting the display settings for the backgrounds to be presented to the user based on the background scores; a support calculation unit that identifies a plurality of backgrounds corresponding to each support by referring to the storage unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and uses the sum of the support score for each support, dividing the support score by the number of associated questions, and then multiplying by a predetermined weight coefficient, and then setting the display settings for the supports to be presented to the user based on the support scores; a generation unit that generates display data based on the determination results and the display settings; and a transmission unit that transmits the display data to the terminal device.

[0008] A developmental characteristics testing system according to a second aspect of the present invention is a developmental characteristics testing system comprising a terminal device and a server device, wherein the terminal device includes a first transmission unit that transmits attribute information of the test subject and questionnaire response information to the server device, a first receiving unit that receives display data from the server device, and a display unit that displays based on the display data, and the server device includes a second receiving unit that receives questionnaire response information from the terminal device, attribute information of the test subject, major categories related to difficulties, minor categories corresponding to the major categories, and questionnaires corresponding to the minor categories. A memory unit that stores information including the question items, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, the question items corresponding to the background, and the background corresponding to the support, and calculates the classification raw scores based on the answers to the corresponding question items for the subcategories included in the response information of the questionnaire, calculates the classification score by referring to the first score conversion table based on the classification raw scores, and the above division A classification score calculation unit that determines the severity of the difficulty for each subcategory from the category score and sets the severity of the difficulty for each major category to be the severity of the difficulty corresponding to the highest score among the severity of the difficulty for each subcategory belonging to the major category; a background calculation unit that calculates the background score by referring to the second score conversion table, dividing the background score for each background by the number of questions associated with it, and then multiplying by a predetermined weight coefficient, and sets the display settings for the background to be presented to the user based on the background score; a support calculation unit that identifies multiple backgrounds corresponding to each support by referring to the storage unit, calculates the sum of the background scores for the multiple backgrounds corresponding to each support and sets the support score for each support by referring to the third score conversion table, dividing the support score by the number of questions associated with it, and then multiplying by a predetermined weight coefficient, and sets the display settings for the support to be presented to the user based on the support score; and a generation unit that generates display data based on the determination results and the display settings.It includes a second transmission unit that transmits the aforementioned display data to the terminal device.

[0009] A developmental characteristics testing method according to a third aspect of the present invention includes: a receiving unit that receives questionnaire response information from a terminal device; a storage unit that stores information including the attribute information of the test subject, a major category of difficulties, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of difficulties, questionnaire questions corresponding to the background, and background information corresponding to support; a classification score calculation unit that determines the classification raw score based on the answers to the corresponding questionnaire questions for the minor category included in the questionnaire response information, calculates the classification score by referring to the first score conversion table based on the classification raw score, determines the severity of difficulties for each minor category from the classification score, and determines the severity of difficulties for each major category as the severity of difficulties corresponding to the highest score among the severity of difficulties for each minor category belonging to the major category. The background calculation unit calculates the total score of the answers to the questions corresponding to each background included in the response information of the questionnaire and uses the total score as the background raw score for each background. Referring to the second score conversion table, it calculates the background score for each background by dividing the background raw score by the number of questions associated with it and then multiplying by a predetermined weight coefficient. Based on the background score, it sets the display settings for the backgrounds to be presented to the user. The support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the storage unit, calculates the total score of the background scores of the plurality of backgrounds corresponding to each support and uses the total score as the support raw score for each support. Referring to the third score conversion table, it calculates the support score by dividing the support raw score by the number of questions associated with it and then multiplying by a predetermined weight coefficient. Based on the support score, it sets the display settings for the supports to be presented to the user. The generation unit generates display data based on the determination results and the display settings, and the transmission unit transmits the display data to the terminal device.

[0010] A program according to a fourth aspect of the present invention is a computer equipped with a storage unit that stores information including attribute information of the person being tested, major categories of difficulties, minor categories corresponding to the major categories, questionnaire questions corresponding to the minor categories, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of difficulties, questionnaire questions corresponding to backgrounds, and backgrounds corresponding to support. The program is equipped with a storage unit that stores information including questionnaire response information from a terminal device, a receiving unit that receives questionnaire response information from a terminal device, calculates classification raw scores based on the answers to the questionnaire response information and corresponding questions for the minor categories, calculates a classification score by referring to the first score conversion table based on the classification raw scores, determines the severity of difficulties for each minor category from the classification score, and calculates the severity of difficulties for each major category to be the severity of difficulties corresponding to the highest score among the severity of difficulties for each minor category belonging to the major category. A background calculation unit calculates a background score by referring to the second score conversion table, dividing the background score by the number of questions associated with each background, and then multiplying it by a predetermined weight coefficient, and then setting the display settings for the backgrounds to be presented to the user based on the background score. A support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the storage unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and uses that sum as the support score for each support, and by referring to the third score conversion table, dividing the support score by the number of questions associated, and then multiplying it by a predetermined weight coefficient, and then setting the display settings for the supports to be presented to the user based on the support score. A generation unit generates display data based on the determination results and the display settings, and a transmission unit transmits the display data to the terminal device.

[0011] A server device according to a fifth aspect of the present invention includes a receiving unit that receives questionnaire response information from a terminal device, a storage unit that stores information including attribute information of the person being tested, major categories of problems, minor categories corresponding to the major categories, questionnaire questions corresponding to the minor categories, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background information corresponding to the support, and calculates classification raw scores based on the answers to the corresponding questionnaire questions for the minor categories included in the questionnaire response information, calculates a classification score by referring to the first score conversion table based on the classification raw scores, determines the severity of the problem for each minor category from the classification score, and determines the severity of the problem for each major category from the severity of the problem for each minor category belonging to the major category. The system includes: a classification score calculation unit that determines the severity of the difficulty corresponding to the highest score; a background calculation unit that calculates the background score for each background by referring to the second score conversion table, dividing the background score for each background by the number of associated questions, and then multiplying by a predetermined weight coefficient, and sets the display settings for the backgrounds to be presented to the user based on the background score; and a support calculation unit that identifies a plurality of backgrounds corresponding to each support by referring to the storage unit, calculates the sum of the background scores for the plurality of backgrounds corresponding to each support, taking the sum as the support score for each support, dividing the support score by the number of associated questions, and then multiplying by a predetermined weight coefficient, and sets the display settings for the support to be presented to the user based on the support score. [Effects of the Invention]

[0012] According to the present invention, it is possible to provide a technology that can examine the severity of difficulties related to a child's developmental characteristics and suggest the underlying factors and directions for support for those difficulties and characteristics. [Brief explanation of the drawing]

[0013] [Figure 1] FIG. 1 is a configuration diagram of a developmental characteristic testing system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a configuration diagram of a server device of the system. [Figure 3] FIG. 3 is a configuration diagram of a terminal device of the system. [Figure 4] FIG. 4 is a flowchart showing a processing procedure of the system. [Figure 5] FIG. 5 is a flowchart showing a processing procedure for classification score calculation. [Figure 6] FIG. 6 is a flowchart showing a processing procedure for background calculation. [Figure 7] FIG. 7 is a flowchart showing a processing procedure for calculating the direction of support. [Figure 8] FIG. 8 is a conceptual diagram showing the relationship between classifications and question items. [Figure 9] FIGS. 9(a) to 9(g) are conceptual diagrams illustrating the calculation of classification scores. [Figure 10] FIGS. 10(a) to 10(c) are conceptual diagrams illustrating background calculation. [Figure 11] FIGS. 11(a) to 11(d) are conceptual diagrams illustrating the calculation of the direction of support. [Figure 12] FIG. 12 is an example of a screen display showing test results. [Figure 13] FIG. 13 is an example of a screen display showing test results. [Figure 14] FIG. 14 is an example of a screen display showing test results. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0015] In FIG. 1, the configuration of a developmental characteristic testing system according to an embodiment of the present invention is shown and described.

[0016] As shown in the same figure, the developmental characteristic testing system is configured by connecting a server device 1 and a user's terminal device 2 wirelessly or by wire via a communication network 3 such as the Internet. Various types of devices can be adopted as the user's terminal device 2, such as smartphones, tablet terminals, notebook personal computers, and desktop personal computers.

[0017] In such a configuration, the user's terminal device 2 accesses a website provided by the server device 1 and inputs attribute information (for example, the subject's age, school grade, etc.). This attribute information is transmitted from the terminal device 2 to the server device 1. The server device 1 performs user registration, selects questionnaire question items based on the subject's school grade, and transmits the questionnaire to the terminal device 2. On the terminal device 2, answers to the questionnaire are input. This answer information is transmitted from the terminal device 2 to the server device 1.

[0018] Subsequently, the server device 1 performs a test on the intensity of the subject's concerns based on the answer information. Specifically, for small classifications linked to large classifications, raw scores are obtained based on answers to corresponding question items, scores are calculated based on the raw scores, the intensity of concerns for each small classification is determined, and the intensity of concerns for each large classification is determined. Furthermore, the server device 1 calculates a raw score for each factor behind the concerns or characteristics (hereinafter referred to as "background"), calculates a score corresponding to the raw score, and performs display settings for the background to be presented to the user. Further, the server device 1 calculates a raw score for each direction of support (hereinafter referred to as "support"), calculates a score corresponding to the raw score, and performs display settings for the support to be presented to the user.

[0019] The server device 1 visualizes the intensity of concerns calculated in this manner, generates display data together with the background and support for which display settings have been made, and transmits the display data to the terminal device 2. The terminal device 2 receives this display data and displays it on a display unit. This makes it possible to check the intensity of concerns for each large classification, the background to be confirmed, and the content of support.

[0020] Figure 2 shows and explains the configuration of the server device for the developmental characteristics testing system.

[0021] As shown in the figure, the server device 1 includes a control unit 11, a communication unit 12, and a storage unit 13. The control unit 11, the communication unit 12, and the storage unit 13 are connected to each other via a system bus. In addition to these components, the server may also include input units such as a keyboard or mouse, and display units such as a liquid crystal display for displaying various information.

[0022] The communication unit 12 is implemented, for example, by a network interface card (NIC), and is a communication interface that connects to a communication network 3 such as the Internet via wired or wireless connection and communicates with the terminal device 2. The storage unit 13 is implemented, for example, by semiconductor memory elements such as RAM (Random Access Memory) or flash memory, a hard disk drive (HDD), or an optical disc drive, and stores programs that are executed by the control unit 11 in advance. The storage unit 13 also includes a user information storage unit 14, a questionnaire information storage unit 15, and a classification / storage unit 16, etc.

[0023] The user information storage unit 14 stores, linked to the user ID, attribute information such as the user's (person being tested) name, age, grade level, gender, contact email address, and telephone number, as well as survey responses and past test information.

[0024] The questionnaire information storage unit 15 stores the questionnaire questions (each question is assigned a question ID) and their content, categorized by the grade level of the person being tested. In other words, the questionnaire information storage unit 15 stores a grade-question item correspondence table.

[0025] The classification and storage unit 16 stores major categories related to problems, minor categories corresponding to those major categories, questionnaire questions (question IDs) corresponding to those minor categories, a first score conversion table for calculating classification scores from classification raw scores, a second score conversion table for calculating background scores from background raw scores, and a third score conversion table for calculating support scores from support raw scores. More specifically, the second score conversion table associates backgrounds with their raw scores, the number of questions associated with the backgrounds, and weight coefficients, and may also store the background scores calculated using these parameters. The third score conversion table associates support with their raw scores, the number of questions associated with the support, and weight coefficients, and may also store the support scores calculated using these parameters. Support is associated with and managed across multiple backgrounds.

[0026] In the developmental characteristics testing system according to this embodiment, as shown in Figure 8, the major categories are divided into seven categories: "Hyperactivity / Inattention," "Interpersonal / Social Skills," "Learning," "Emotion / Behavior," "Speech," "Sensory," and "Motor Skills." The subcategories corresponding to each major category are as follows. ·Hyperactivity / inattention: inattention, hyperactivity / impulsivity Interpersonal and social skills: particularity, interpersonal and social skills Learning: Reading, writing, arithmetic • Emotions and Behavior: Behavioral problems, emotional problems, sleep • Speaking style: Speaking style • Sensation: Hypersensitivity, interest in sensation, hyposensitivity • Exercise: Full-body exercise, fine motor skills, posture maintenance, and correcting bad habits

[0027] The control unit 11 is implemented using a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), etc. The control unit 11 may be composed of an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Array). By executing the program stored in the memory unit 13, the control unit 11 functions as a main control unit 11a, a transmit / receive control unit 11b, a questionnaire execution unit 11c, an inspection unit 11d, and a generation unit 11e. The inspection unit 11d further functions as a classification score calculation unit 11d-1, a background calculation unit 11d-2, and a support calculation unit 11d-3, etc.

[0028] In this configuration, the transmission / reception control unit 11b functions as a receiving unit that receives attribute information and questionnaire response information sent from the terminal device 2, and a transmitting unit that transmits display data related to inspection results, etc., to the terminal device 2.

[0029] The questionnaire execution unit 11c refers to the questionnaire information storage unit 15 and selects questionnaire questions based on the grade level of the test subject included in the attribute information stored in the user information storage unit 14. It then transmits the display data related to the questionnaire, consisting of the selected questions and their content, to the terminal device 2 to conduct the questionnaire. The questionnaire execution unit 11c also aggregates the response information sent from the terminal device 2. This response information and aggregated information (including scores) are stored in the questionnaire information storage unit 15. Here, the questionnaire is in a format where each question can be answered by selecting from five options: "not applicable," "rarely," "sometimes," "usually," and "always." Points from 1 to 5 are pre-assigned to each answer to each question. Some question items are assigned points from 5 to 1 in the form of reversed items. Therefore, during aggregation, it is possible to obtain the score corresponding to each answer to each question as aggregated information. In this way, since the questionnaire responses are treated as raw scores, it can be said that the response information includes scores.

[0030] The testing unit 11d uses the questionnaire responses to examine the severity of the person being tested, the underlying factors behind their difficulties and characteristics, and the direction of support.

[0031] More specifically, the classification score calculation unit 11d-1 calculates raw scores for the subcategories linked to the major categories based on the answers to the corresponding question items, calculates a score based on these raw scores by referring to the score conversion table in the classification memory unit 16, determines the severity of the difficulties for each subcategory, and determines the severity of the difficulties for each major category. Furthermore, the background calculation unit 11d-2 calculates raw scores for each background, calculates a score corresponding to these raw scores, and sets the display settings for the backgrounds to be presented to the user. The support calculation unit 11d-3 calculates raw scores for each support, calculates a score corresponding to these raw scores, and sets the display settings for the supports to be presented to the user.

[0032] The generation unit 11e visualizes the calculated severity of the problem and generates display data along with the background and support for the display settings. In addition to the above, the main control unit 11a is responsible for the overall control of the server device 1.

[0033] Figure 3 shows and explains the configuration of the terminal device for the developmental characteristics testing system.

[0034] As shown in the figure, the terminal device 2 includes a control unit 21, a communication interface 22, a display unit 23, an operation unit 24, and a storage unit 25. Each unit 21 to 25 is connected via a system bus for communication. The communication unit 22 is implemented by, for example, a NIC, and is a communication interface that is connected to a communication network 3 such as the Internet by wired or wireless connection and communicates with the server device 1, etc. The display unit 23 is implemented by a liquid crystal display, etc., and displays various information. The operation unit 24 is implemented by a mouse, keyboard, etc., and accepts various operation inputs from the user. The display unit 23 and the operation unit 24 may be configured as a single touch panel. The storage unit 25 is implemented by, for example, a semiconductor memory element such as RAM or flash memory, an HDD, or an optical disc drive, and stores programs executed by the control unit 21.

[0035] The control unit 21 is implemented using a CPU or MPU, and may consist of an integrated circuit such as an ASIC or FPGA. The control unit 21 functions as a main control unit 21a, a transmit / receive control unit 21b, and a display control unit 21c by reading and executing a program stored in the memory unit 25.

[0036] In this configuration, the transmission / reception control unit 21b functions as a transmission unit that sends attribute information and questionnaire response information to the server device 1, and a reception unit that receives display data from the server device 1. The display control unit 21c displays information on the display unit 23 based on the display data from the server device 1. In addition, the main control unit 21a controls the entire terminal device 2.

[0037] The following describes the processing procedure of the developmental characteristics assessment system, referring to the flowchart in Figure 4.

[0038] When this process is started, first, terminal device 2, which has accessed the website provided by server device 1, inputs attribute information of the person to be inspected by operating the operation unit 24 on the display screen of display unit 23, and the transmission / reception control unit 21b transmits the input attribute information to server device 1 via communication I / F 22 as the transmission unit (S1).

[0039] In server device 1, the transmission / reception control unit 11b functions as a receiver and receives this attribute information (S2), the questionnaire execution unit 11c selects questionnaire questions by referring to the questionnaire information storage unit 15 based on the grade level of the person being tested included in the attribute information, the generation unit 11e generates the questionnaire (S3), and the transmission / reception control unit 11b functions as a transmission unit and transmits the display data of the questionnaire to terminal device 2 (S4).

[0040] In terminal device 2, the transmission / reception control unit 21b, acting as a receiver, receives the display data and, under the control of the display control unit 21c, displays a questionnaire screen based on the display data on the display unit 23 (S5). When an answer is entered to the displayed questionnaire by operating the operation unit 24 in terminal device 2, the transmission / reception control unit 21b functions as a transmitter and sends the questionnaire answer information to server device 1 (S6).

[0041] In server device 1, the transmission / reception control unit 11b functions as a receiver, receiving the questionnaire response information and storing it in the user information storage unit 14 (S7), and the testing unit 11d performs tests on the severity of difficulties related to developmental characteristics (S8-S10).

[0042] The details of the examination will be described later in Figures 5 to 7, but the classification score calculation unit 11d-1 refers to the classification memory unit 16 to obtain raw scores based on the answers to the corresponding question items for the minor categories linked to the major categories, and calculates a score based on these raw scores by referring to the first score conversion table of the classification memory unit 16, and determines the severity of the difficulties for each minor category and the severity of the difficulties for each major category (S8). The background calculation unit 11d-2 calculates raw scores for each background from the scores of the question items corresponding to the background, and calculates the score corresponding to these raw scores by referring to the second score conversion table of the classification memory unit 16, and sets the display settings for the backgrounds to be presented to the user (S9). The support calculation unit 11d-3 calculates the total score of the background scores for the backgrounds corresponding to the support as the raw score for each support, and calculates the score corresponding to these raw scores by referring to the third score conversion table of the classification memory unit 16, and sets the display settings for the supports to be presented to the user (S10).

[0043] Next, the generation unit 11e visualizes the calculated intensity of the problem, etc., and generates display data along with the background and support for the display settings. The transmission / reception control unit 11b then functions as the transmission unit and transmits this display data to the terminal device 2 (S11). In the terminal device 2, the transmission / reception control unit 21a functions as the reception unit and receives the display data (S12). Under the control of the display control unit 21c, the display unit 23 displays the information based on the display data (S13). This completes the series of processes.

[0044] The procedure for calculating classification scores will be explained by referring to the flowchart in Figure 5. Conceptual diagrams in Figures 9(a) to 9(g) will be referenced as appropriate.

[0045] In the preceding process (S1-S7), the age and grade level are entered on the terminal device 2 side as shown in Figure 9(a). Furthermore, on the server device 1, as shown in Figure 9(b), a pool of question items corresponding to the grade level is selected for each subcategory based on the grade-question item correspondence table stored in the questionnaire information storage unit 15, as shown in Figure 9(c). A questionnaire related to the question items in that question item pool is then administered, and the response information is obtained.

[0046] When this process begins, as shown in Figure 9(d), the classification score calculation unit 11d-1 calculates the total raw score of the answers to the corresponding questions for each subcategory (S21), and calculates the subcategory score corresponding to the raw score (S22), as shown in Figure 9(e). The subcategory score is a standard score created based on data of typically developing children for each gender and age (or grade), and is an indicator of how far the total raw score of the target child's subcategory is from the mean of the reference group (for example, the standard score may be calculated from reference data such that the mean of the reference group is 50 and the standard deviation is 10). Therefore, the higher the subcategory score, the stronger the degree of difficulty or characteristics. For example, a score of 59 or less may be judged as "not currently experiencing difficulties," a score of 60 to 69 as "somewhat experiencing difficulties," and a score of 70 or more as "experiencing significant difficulties."

[0047] Next, as shown in Figure 9(f), the severity of the problem for each subcategory is calculated from the subcategory score (S23). In this example, a score of 59 or less is defined as "not currently experiencing problems," a score of 60 to 69 is defined as "somewhat severe problems," and a score of 70 or more is defined as "severe problems." Then, the classification score calculation unit 11d-1 calculates the severity of the problem for each major category (S24). In this example, the severity of the problem corresponding to the highest score among the scores of the multiple subcategories corresponding to the major category is used as the severity of the problem for the major category. Thus, the process in Figure 5 is completed, and the system returns to the main process in Figure 4.

[0048] The background calculation process will be explained by referring to the flowchart in Figure 6. Conceptual diagrams in Figures 10(a) to 10(c) will be referenced as appropriate.

[0049] When this process begins, as shown in Figure 10(a), the background calculation unit 11d-2 calculates the total raw score of the answers to the corresponding questions for each background and uses this as the background raw score (S31). Then, as shown in Figure 10(b), it calculates the background score corresponding to the background raw score by referring to the parameters of the second score conversion table (S32). More specifically, the background calculation unit 11d-2 may, for example, calculate the total raw score of the answers to the corresponding questions for each background and use this as the background raw score, divide the background raw score by the number of questions associated with it, and then multiply by a predetermined weighting coefficient to calculate the background score. Then, as shown in Figure 10(c), the background calculation unit 11d-2 compares the background score with a predetermined threshold and sets the display settings so that backgrounds with a background score of or greater than the threshold are displayed, and backgrounds with a background score of less than the threshold are hidden (S33). In this way, the process in Figure 6 is completed, and the system returns to the main process in Figure 4.

[0050] The procedure for calculating the direction of support will be explained by referring to the flowchart in Figure 7. Here, the conceptual diagrams in Figures 11(a) to 11(d) will be referred to as appropriate.

[0051] When this process begins, as shown in Figures 11(a) and 11(b), the support calculation unit 11d-3 refers to the background score for each background calculated in S32, calculates the sum of the background scores for multiple backgrounds corresponding to the support and uses this as the raw support score (S41), and may also calculate the support score by referring to the parameters of the third score conversion table, for example, by dividing the raw support score by the number of questions associated with it and then multiplying by a predetermined weighting coefficient (S42). In that case, as shown in Figures 11(c) and 11(d), the display / hide setting for the support is set based on the support score (S43). Thus, the process in Figure 6 is completed and the system returns to the main process in Figure 4.

[0052] Furthermore, the number of support options displayed can vary depending on the severity of the problem. For example, if the user is judged as "not currently experiencing any problems," the top two options may be displayed; and if the user is judged as "severely experiencing problems," the top five to seven options for each major category may be displayed. The number of options can be arbitrarily set in advance.

[0053] Next, with reference to Figures 12 to 14, an example of how the inspection results are displayed on terminal device 2 will be explained.

[0054] Figure 12 shows the overall display screen of the test results. As shown in the figure, the overall display shows the test results related to the severity of the difficulties and the type classified based on those test results for each of the seven major categories: "Hyperactivity / Inattention," "Interpersonal / Social Skills," "Learning," "Emotion / Behavior," "Speech," "Sensory Skills," and "Motor Skills."

[0055] Figure 13 shows the display screen of the numerical graph of the test results. As shown in the figure, for each of the seven major categories, the test scores for the subcategories belonging to each major category are shown, making it possible to check the severity of the difficulties for each subcategory. For example, for the major category "Hyperactivity / Inattention," the subcategories are "Inattention" and "Hyperactivity / Impulsivity." For inattention, the score is 63, which belongs to "moderately severe difficulties," while for hyperactivity / impulsivity, the score is 81, which belongs to "severe difficulties."

[0056] Figure 14 shows the display screen for the severity of difficulties, background, and support for each major category. As shown in the figure, for the major category "Hyperactivity / Inattention," the severity of the difficulty is indicated along with a numerical graph of the subcategories belonging to that major category. In addition to the display of text describing the child's characteristics and common behaviors, the factors behind the difficulties and characteristics, and the direction of support are inserted and displayed using the processing settings described above. Depending on the severity of the difficulty, the necessary amount of explanation is inserted starting with the most important information, so that parents and guardians can read the background and support information and smoothly implement responses and improvements for the child being tested.

[0057] According to the embodiments of the present invention described above, the following effects are achieved.

[0058] In other words, according to the developmental characteristics testing system, etc., as embodied in the present invention, simply by answering a questionnaire, the severity of difficulties, underlying factors, and future support directions can be visualized and shown for each subcategory, and further for each corresponding major category. This allows parents and educators to comprehensively understand the severity of difficulties, underlying factors, and future support directions of the person being tested, and to take action accordingly. Furthermore, by conducting tests regularly, it becomes possible to review what needs to be done in accordance with the growth of the person being tested and changes in their environment.

[0059] Although embodiments of the present invention have been described above, the present invention is not limited thereto, and various improvements and modifications are possible.

[0060] For example, the direction of support could be differentiated based on factors such as intellectual disability or language development. Furthermore, external links containing detailed information could be provided, linked to the direction of support. Finally, based on the individual's attribute information and assessment results, appropriate information and detailed support methods could be recommended. [Explanation of Symbols]

[0061] 1...Server device, 2...Terminal device, 3...Communication network, 11...Control unit, 11a...Main control unit, 11b...Transmission / reception control unit, 11c...Questionnaire execution unit, 11d...Inspection unit, 11d-1...Classification score calculation unit, 11d-2...Background calculation unit, 11d-3...Support calculation unit, 11e...Generation unit, 12...Communication I / F, 13...Storage unit, 14...User information storage unit, 15...Questionnaire information storage unit, 16...Classification etc. storage unit, 21...Control unit, 21a...Main control unit, 21b...Transmission / reception control unit, 21c...Display control unit, 22...Communication I / F, 23...Display unit, 24...Operation unit, 25...Storage unit.

Claims

1. A receiving unit that receives survey response information from a terminal device, A storage unit that stores information including the attribute information of the person being tested, a major category of the problem, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background information corresponding to the support. A classification score calculation unit calculates classification raw scores based on the answers to the corresponding questions for each subcategory included in the response information of the questionnaire, calculates a classification score based on the classification raw scores by referring to the first score conversion table, determines the severity of the difficulty for each subcategory from the classification score, and sets the severity of the difficulty for each major category to the severity of the difficulty corresponding to the highest score among the severity of the difficulty for each subcategory belonging to the major category, A background calculation unit calculates the background score by determining the total score of the responses to the questions corresponding to each background included in the response information of the aforementioned questionnaire, and using that total score as the background raw score for each background, and by referring to the second score conversion table, dividing the background raw score for each background by the number of questions associated with it, and then multiplying by a predetermined weighting coefficient, and setting the display settings for the backgrounds to be presented to the user based on the background score. A support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the memory unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and calculates the support score by dividing the support raw score by the number of associated questions and multiplying it by a predetermined weight coefficient, referring to the third score conversion table, and sets the display settings for the support to be presented to the user based on the support score. A generation unit that generates display data based on the results of the determination and the display settings, The system includes a transmission unit that transmits the display data to the terminal device. Server device.

2. In a developmental characteristics testing system consisting of terminal devices and server devices, The aforementioned terminal device is The server device includes a first transmission unit that transmits attribute information of the person being tested and questionnaire response information, A first receiving unit that receives display data from the server device, A display unit that displays information based on the aforementioned display data, Equipped with, The server device is A second receiving unit that receives questionnaire response information from the terminal device, A storage unit that stores information including the attribute information of the person being tested, a major category of the problem, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background information corresponding to the support. A classification score calculation unit calculates classification raw scores based on the answers to the corresponding questions for each subcategory included in the response information of the questionnaire, calculates a classification score based on the classification raw scores by referring to the first score conversion table, determines the severity of the difficulty for each subcategory from the classification score, and sets the severity of the difficulty for each major category to the severity of the difficulty corresponding to the highest score among the severity of the difficulty for each subcategory belonging to the major category, A background calculation unit calculates the background score by determining the total score of the responses to the questions corresponding to each background included in the response information of the aforementioned questionnaire, and using that total score as the background raw score for each background, and by referring to the second score conversion table, dividing the background raw score for each background by the number of questions associated with it, and then multiplying by a predetermined weighting coefficient, and setting the display settings for the backgrounds to be presented to the user based on the background score. A support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the memory unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and calculates the support score by dividing the support raw score by the number of associated questions and multiplying it by a predetermined weight coefficient, referring to the third score conversion table, and sets the display settings for the support to be presented to the user based on the support score. A generation unit that generates display data based on the results of the determination and the display settings, A second transmission unit that transmits the aforementioned display data to the terminal device, Equipped with Developmental characteristics assessment system.

3. The display unit graphically displays the degree of difficulty for each subcategory belonging to the major category, calculated by the classification score calculation unit. The developmental characteristics testing system according to claim 2.

4. The display unit displays, for each major category, the background information to be presented to the user as set by the background calculation unit, and the support information to be presented to the user as set by the support calculation unit, as text. The developmental characteristics testing system according to claim 2.

5. The receiving unit receives the survey response information from the terminal device. The memory unit stores information including the attribute information of the person being tested, a major category of the problem, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background information corresponding to the support. The classification score calculation unit calculates raw classification scores based on the answers to the corresponding questions for each subcategory included in the response information of the questionnaire, calculates a classification score based on the raw classification scores by referring to the first score conversion table, determines the severity of the problem for each subcategory from the classification score, and sets the severity of the problem for each major category to the severity of the problem corresponding to the highest score among the severity of the problems for each subcategory belonging to the major category. The background calculation unit calculates the total score of the responses to the question items corresponding to each background included in the response information of the questionnaire, and uses this total score as the background raw score for each background. Referring to the second score conversion table, it calculates the background score for each background by dividing the background raw score by the number of questions associated with it, and then multiplying it by a predetermined weighting coefficient. Based on the background score, it sets the display settings for the backgrounds to be presented to the user. The support calculation unit refers to the storage unit to identify a plurality of backgrounds corresponding to each support, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and calculates the support score by dividing the support raw score by the number of associated questions, referring to the third score conversion table, and multiplying by a predetermined weight coefficient, and then sets the display settings for the support to be presented to the user based on the support score. The generation unit generates display data based on the results of the determination and the display settings. The transmission unit transmits the display data to the terminal device. Methods for assessing developmental characteristics.

6. A computer equipped with a storage unit that stores information including the attribute information of the person being tested, a major category of the problem, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background corresponding to the support, A receiving unit that receives survey response information from terminal devices. A classification score calculation unit calculates classification raw scores based on the answers to the corresponding questions for each subcategory included in the response information of the questionnaire, calculates a classification score based on the classification raw scores by referring to the first score conversion table, determines the severity of the difficulty for each subcategory from the classification score, and sets the severity of the difficulty for each major category to the severity of difficulty corresponding to the highest score among the severity of difficulty for each subcategory belonging to the major category. A background calculation unit calculates the background score by determining the total score of the responses to the questions corresponding to each background included in the response information of the aforementioned questionnaire, and using that total score as the background raw score for each background, and by referring to the second score conversion table, dividing the background raw score for each background by the number of questions associated with it, and then multiplying by a predetermined weighting coefficient, and then setting the display settings for the backgrounds to be presented to the user based on the background score. A support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the memory unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and calculates the support score by dividing the support raw score by the number of questions associated with it, referring to the third score conversion table, and then multiplying by a predetermined weight coefficient, and sets the display settings for the support to be presented to the user based on the support score. A generation unit that generates display data based on the results of the determination and the display settings, and It functions as a transmission unit that transmits the aforementioned display data to the terminal device. program.

7. A receiving unit that receives survey response information from a terminal device, A storage unit that stores information including the attribute information of the person being tested, a major category of the problem, a minor category corresponding to the major category, questionnaire questions corresponding to the minor category, a first score conversion table for calculating a classification score from classification raw scores, a second score conversion table for calculating a background score from background raw scores, a third score conversion table for calculating a support score from support raw scores, the relationship between the classification score and the severity of the problem, questionnaire questions corresponding to the background, and background information corresponding to the support. A classification score calculation unit calculates classification raw scores based on the answers to the corresponding questions for each subcategory included in the response information of the questionnaire, calculates a classification score based on the classification raw scores by referring to the first score conversion table, determines the severity of the difficulty for each subcategory from the classification score, and sets the severity of the difficulty for each major category to the severity of the difficulty corresponding to the highest score among the severity of the difficulty for each subcategory belonging to the major category, A background calculation unit calculates the background score by determining the total score of the responses to the questions corresponding to each background included in the response information of the aforementioned questionnaire, and using that total score as the background raw score for each background, and by referring to the second score conversion table, dividing the background raw score for each background by the number of questions associated with it, and then multiplying by a predetermined weighting coefficient, and setting the display settings for the backgrounds to be presented to the user based on the background score. A support calculation unit identifies a plurality of backgrounds corresponding to each support by referring to the memory unit, calculates the sum of the background scores of the plurality of backgrounds corresponding to each support, and calculates the support score by dividing the support raw score by the number of associated questions and multiplying it by a predetermined weight coefficient, referring to the third score conversion table, and sets the display settings for the support to be presented to the user based on the support score. A server device equipped with this feature.

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    JP2022054896A