Information generation device, information generation system, information generation method, and program

Abstract

To provide an information generation device that generates information that enables effect of employment support for a support object to be understood.SOLUTION: An information generation device includes: acquisition means that acquires support information that links date and time when a supporter provides employment support to a support object with contents of the employment support at the date and time; score calculation means that calculates a score representing degree of association between an evaluation item used to estimate motivation of the support object for the employment activity and the support information for each date and time when the employment support is provided; transition information generation means that generates transition information representing time series transition of the score calculated for each date and time when the employment support is provided; presentation information generation means that generates presentation information including support record information, which is record information of the support provided by the supporter to the support object, and the transition information; and output means that outputs the generated presentation information.SELECTED DRAWING: Figure 19

Description

Technical Field

[0001] The present disclosure relates to an information generation device, an information generation system, an information generation method, and a program.

Background Art

[0002] There is known a service that provides employment support for support recipients who are the targets of employment support. For example, Patent Document 1 discloses a technique related to employment support for disabled persons. When a learned model described in Patent Document 1 is input with predetermined information about a support recipient and a support goal, it outputs means for improving the ability to enhance the learning effect of the support recipient. The means for improving the ability includes teaching materials suitable for the support goal and reasonable considerations for enhancing the learning effect of the support recipient.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a service that provides employment support for support recipients, it is required that the supporter provide effective support leading to employment for the support recipient. For this purpose, it is desirable that the supporter can grasp what effects the support given to the support recipient has had.

[0005] An object of the present disclosure is to provide an information generation device, an information generation system, an information generation method, and a program that can generate information capable of grasping the effect of employment support for a support recipient.

Means for Solving the Problems

[0006] An information generation device according to an aspect of the present disclosure includes an acquisition unit that acquires support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated; a score calculation unit that calculates, for each date and time when employment support is provided, a score representing the degree of association between an evaluation item used to estimate the motivation of the support target for employment activities and the support information; a transition information generation unit that generates transition information representing the time-series transition of the scores calculated for each date and time when employment support is provided; a presentation information generation unit that generates presentation information including support record information, which is record information of the support provided by the supporter to the support target, and the transition information; and an output unit that outputs the generated presentation information.

[0007] An information generation method according to an aspect of the present disclosure includes a computer acquiring support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated, calculating, for each date and time when employment support is provided, a score representing the degree of association between an evaluation item used to estimate the motivation of the support target for employment activities and the support information, generating transition information representing the time-series transition of the scores calculated for each date and time when employment support is provided, generating presentation information including support record information, which is record information of the support provided by the supporter to the support target, and the transition information, and outputting the generated presentation information.

[0008] A program according to an aspect of the present disclosure causes a computer to execute a process of acquiring support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated, a process of calculating, for each date and time when support is provided, a score representing the degree of association between an evaluation item used to estimate the motivation of the support target for employment activities and the employment information, a process of generating transition information representing the time-series transition of the scores calculated for each date and time when employment support is provided, a process of generating presentation information including support record information, which is record information of the support provided by the supporter to the support target, and the transition information, and a process of outputting the generated presentation information.

Advantages of the Invention

[0009] According to the present disclosure, it is possible to provide an information generation device, an information generation system, an information generation method, and a program that can generate information capable of grasping the effect of employment support for a person to be supported.

Brief Description of the Drawings

[0010]

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Embodiments for Carrying Out the Invention

[0011] Hereinafter, embodiments according to the present disclosure will be described in detail with reference to the drawings. The embodiments described below have technically preferable limitations for carrying out the present disclosure, but do not limit the scope of the invention below. In all the drawings used in the description of the following embodiments, the same reference numerals are given to the same parts unless otherwise specified. In the following embodiments, repeated descriptions of similar configurations and operations may be omitted. Also, the GUI (Graphical User Interface) shown in the drawings is an example, and may be replaced by other GUIs. Also, the employment support in the present disclosure may include employment support, job transfer support, career formation support, etc. Career formation support includes work career support which is support for career formation and career advancement, life career support which is support for career and future lifestyle, and the like.

[0012] (First Embodiment) First, the information generation system according to the first embodiment will be described with reference to the drawings.

[0013] (Overview) The information generation system of this embodiment is a system for generating information for grasping what kind of job hunting support is effective for the person to be supported. The person to be supported refers to the person who receives support from the supporter.

[0014] FIG. 1 is a conceptual diagram for explaining the information generation system according to the present disclosure. The outline of the information generation system 1 will be described with reference to FIG. 1.

[0015] The information generation system 1 includes an information generation device 10 and a supporter terminal 80. The information generation device 10 and the supporter terminal 80 are communicably connected. Further, the information generation device 10 is communicably connected to a storage device 70.

[0016] [Supporter Terminal] The supporter terminal 80 is a terminal device operated by the supporter. The supporter terminal 80 has an input unit (not shown) and an output unit (not shown). The input unit is realized by an input / output interface connected to an input device such as a mouse or a keyboard. The output unit is realized by an input / output interface connected to a display device (display screen) such as a display. The supporter terminal 80 inputs the matters requested from the information generation device 10 via the input unit. Further, the supporter terminal 80 displays the information output from the information generation device 10 via the output unit.

[0017] [Storage Device] The storage device 70 stores a database 700 in which information about the person to be supported is stored. The storage device 70 stores one or more databases 700. In FIG. 1, the storage device 70 is shown as storing a plurality of databases (700-1, 700-2,... 700-n), but this is an example. Also, the classification of the information possessed by the databases 70-1 to 70-2 described below is an example and is not limited thereto. For example, the database 70-1 may have a configuration that has both the information possessed by the database 700-1 and the information possessed by the database 700-2 described below.

[0018] For example, the database 700-1 is a database having the profile information of the person to be supported. The profile information includes history information such as the work experience of the person to be supported, characteristic information regarding skills and abilities, personality information of the person to be supported, the support level of the person to be supported, and the like. The history information is information about the work history and educational history of the person to be supported. The support level is an index of the degree of support required by the person to be supported in employment. The support level is set in advance by a supporter or the like based on the skills and abilities of the person to be supported. For example, the support level is set based on the degree to which the abilities required in employment, such as concentration and discipline, reach compared to a certain level. For example, the support level A is assigned to those whose abilities do not reach the average level. The support level B is assigned to those whose abilities are at the average level. The support level C is assigned to those whose abilities exceed the average level. These profile information are obtained from documents for job hunting activities such as the resume of the person to be supported and documents created by the supporter, and stored as text information.

[0019] For example, the database 700-2 is a database having support information. The support information is information that links the date and time when the supporter provided employment support to the person to be supported and the content of the employment support. For example, the support information includes conversation information between the supporter and the person to be supported, support record information, and message information.

[0020] The conversation information is stored in the database 700-2 as text information. Figure 2 is an example of the conversation information between the supporter and the support target according to the present disclosure. As shown in Figure 2, the conversation information 61 is information that associates the date and time of the conversation with the text information of the conversation content. In the example of Figure 2, on October 1, 2023, conversation information including a question from the supporter "How are you feeling?" is recorded. Also, on October 1, 2023, in response to the supporter's question, conversation information from the support target "Actually, I haven't been sleeping well. I'm nervous because I have a job interview this afternoon." is recorded. The conversation information shown in Figure 2 is an example and does not limit the content of the conversation information in the present disclosure. The conversation information may include the content of the conversation between the supporter and the support target.

[0021] The support record information is the record information of the employment support provided by the supporter to the support target. Figure 3 is an example of the support record information according to the present disclosure. The support record information 62 is information that associates the date and time of the employment support with the text information of the support content. The support record information may be a summary text generated by inputting the conversation information into a large language model. In the example of Figure 3, on October 1, 2023, support information "Advised to attend the employment support briefing" is recorded. The support record information shown in Figure 3 is an example and does not limit the support record information in the present disclosure. The support record information may include the content of the employment support provided by the supporter to the support target.

[0022] The message information is the message information transmitted and received between the supporter and the support target. The message information is information that associates the date and time when the message was sent or received with the text information of the message. For example, the message information is obtained from a mail application, a chat application, etc. The message information may be information that associates the content of a letter sent by the support target to the supporter, converted into text information by a technology such as OCR (Optical Character Recognition), with the sending date of the letter.

[0023] The storage device 70 may store databases other than the databases 700-1 and 700-2 described above. For example, the storage device 70 may store a database 700 having purchase information of the support target person, or a database 700 having message information transmitted by the support target person to others than the supporter. The purchase information is information that associates text information for identifying the articles purchased by the support target person with the purchase date and time. The purchase information may represent the motivation of the support target person for their job hunting activities. For example, it can be understood from the purchase information that the support target person purchased a reference book for obtaining a qualification that the motivation of the support target person for their job hunting activities is increasing. The articles purchased by the support target person may include not only the articles purchased by the support target person himself / herself but also the articles for which the support target person requested the supporter to purchase.

[0024] [Information generation device]

[0025] (Configuration) FIG. 4 is a block diagram showing an example of the configuration of the information generation system according to the present disclosure. The configuration of the information generation device 10 will be described with reference to FIG. 4. As shown in FIG. 4, the information generation device 10 includes an acquisition unit 11, an input request unit 12, a score calculation unit 13, a storage unit 14, a transition information generation unit 15, an extraction unit 16, a presentation information generation unit 17, and an output unit 18.

[0026] The acquisition unit 11 acquires the profile information and support information of the support target person stored in the storage device 70. The profile information of the support target person is used to identify the characteristics of the support target person, etc. The support information is used to calculate the scores of the evaluation items described later. When information other than the profile information and support information of the support target person is further used in the calculation of the scores, the acquisition unit 11 also acquires those information.

[0027] The input request unit 12 requests the supporter terminal 80 to input evaluation items. The input request unit 12 acquires the evaluation items for which the input has been received. The evaluation items are items used for estimating the motivation of the support target person for their job hunting activities.

[0028] The processing of the input requirement unit 12 will be further described with reference to FIG. 5. FIG. 5 is a diagram showing an example of an evaluation item setting requirement screen according to the present disclosure. The evaluation item setting requirement screen W1 is displayed on the screen of the supporter terminal 80. The evaluation item setting requirement screen W1 is a GUI that requests setting of evaluation items. The evaluation item setting requirement screen W1 includes a data area D1 and a data area D2. The data area D2 includes buttons B1 for selecting a plurality of evaluation items. The input requirement unit 12 receives setting of one or more evaluation items via the evaluation item setting requirement screen W1. The data area D1 includes a text input field for inputting an evaluation item and a button for selecting a category of the evaluation item. The category of the evaluation item is information indicating, for example, whether the evaluation item belongs to a positive item or a negative item. The category of the evaluation item shown in FIG. 4 is an example. The category of the evaluation item can be freely specified by the system user. The evaluation item input in the text input field is reflected as the button B1 in the data area D2. The evaluation item is set when the button B1 is selected. The supporter selects one or more buttons B1 for selecting the evaluation items of the evaluation target via the evaluation item setting requirement screen W1. The display mode of the selected button B1 is changed, for example, to the display mode of a button B2 indicating that it has been selected. When the supporter terminal 80 detects that the selection of the evaluation items has ended, it transmits the input information to the information generation device 10. For example, the supporter terminal 80 detects that the selection of the evaluation items has ended when the button B3 is pressed on the evaluation item setting requirement screen W1. The input requirement unit 12 acquires the information received from the supporter terminal 80 as evaluation items.

[0029] The score calculation unit 13 calculates the score of the supported person for each date and time when the employment support is provided, using the acquired support information. The score of the supported person is a value indicating the degree of relevance between the support information and the evaluation items. The score calculation unit 13 semantically analyzes the support information using a known method, and calculates, for each date and time, a score indicating the degree of relevance to the evaluation items for the evaluation items acquired by the input request unit 12. FIG. 6 is a diagram showing an example of the score calculated by the score calculation unit according to the present disclosure. As shown in FIG. 6, the score calculation unit 13 calculates the score of each evaluation item for each date and time. The score calculation unit 13 obtains a score by inputting predetermined information to the score calculation model stored in the storage unit 14. The predetermined information includes the text information of the support information and the evaluation items. The score calculation unit 13 inputs the text information of the support information and the evaluation items to the score calculation model. The score calculation unit 13 obtains a score, which is a value indicating the degree of relevance between the evaluation item and the input text information, output from the score calculation model.

[0030] An example of the method by which the score calculation model outputs a score will be described below. First, the score calculation model divides the input text information into words by a known morphological analysis method. Next, the score calculation model calculates a score by performing semantic analysis on the divided words by a known method. For example, the score calculation model calculates a score according to the ratio of the words related to the evaluation items included in the text information. For example, for the evaluation item "having initiative", words such as "initiative", "by oneself", "oneself", and "challenge" are associated. The score calculation model calculates the ratio of these words included in the input text information, and calculates a score based on the calculated ratio. The score calculation model outputs the calculated score. Note that the above-described method of calculating the score is an example, and the score can be calculated by other known natural language processing techniques.

[0031] The storage unit 14 stores the score calculation model used by the score calculation unit 13. The score calculation model is a learned model generated by machine learning. The score calculation model may be a relearnable model. The storage unit 14 may also store data temporarily used by the information generation device 10.

[0032] The transition information generation unit 15 generates transition information representing the transition of scores for each evaluation item. For example, the transition information is expression information or graph information. The transition information may be expressed in a format other than expression information or graph information as long as the transition of scores for each evaluation item can be grasped.

[0033] For example, the transition information may be expression information associating the score for each evaluation item with the date and time. For example, the expression information 63 shown in FIG. 6 may be the transition information. The transition information may be graph information associating the score for each evaluation item with the date and time. FIG. 7 is a diagram showing an example of the transition information according to the present disclosure. In the example of FIG. 7, as the transition information, graph information 64 is shown with the score calculated by the score calculation unit 13 on the vertical axis and the date and time on the horizontal axis. The graph information 64 includes a line graph showing the time-series transition of scores for a plurality of evaluation items as the transition information. The line graphs included in the graph information 64 are easier to distinguish when represented by different colors or lines. The graph information 64 may include a graph showing the time-series change of a single evaluation item.

[0034] The transition information generation unit 15 may generate transition information representing the transition of scores for each group combining a plurality of evaluation items. For example, the transition information generation unit 15 generates transition information for each category of evaluation items. In this case, the transition information generation unit 15 calculates the average value of the scores of each evaluation item included in the same category for each date and time, and generates transition information using that value as the score. For example, the average value is an arithmetic mean, a geometric mean, or a harmonic mean. The transition information generation unit 15 may generate transition information for each group combining evaluation items in an antagonistic relationship. Evaluation items in an antagonistic relationship are, for example, a binary antagonistic relationship such as "motivated" and "unmotivated", "confident" and "unconfident", "assertive" and "unassertive". Information on which evaluation items are in an antagonistic relationship is received, for example, together with the input of the evaluation items in the input request unit 12. Information on which evaluation items are in an antagonistic relationship may be determined in advance. In this case, the transition information generation unit 15 generates transition information as follows. The transition information generation unit 15 assigns a positive weight to the score of the positive evaluation item and a negative weight to the score of the negative evaluation item among the evaluation items in an antagonistic relationship. The transition information generation unit 15 calculates the value obtained by adding the respective scores as the score. The transition information generation unit 15 generates the time-series data of the calculated scores as transition information. FIG. 8 is a diagram showing an example of the transition information according to the present disclosure. FIG. 8 is a table (expression information 65) in which the transition information for each evaluation item of a certain support target is expressed in a tabular format. As shown in FIG. 8, the transition information may be expression information 65 representing the transition of scores generated for each group combining evaluation items in an antagonistic relationship. According to FIG. 8, the tendencies of motivation, assertiveness, and confidence can be intuitively grasped.

[0035] The transition information generation unit 15 may generate transition information representing the transition of scores by summarizing all evaluation items into one. For example, the transition information generation unit 15 calculates the average value of the scores of each evaluation item included in the same category for each date and time. For example, the average value is an arithmetic mean, a geometric mean, or a harmonic mean. Next, the transition information generation unit 15 performs positive weighting on the average value of the scores classified as positive, and performs negative weighting on the average value of the scores classified as negative. The transition information generation unit 15 generates transition information using the value obtained by adding each value as a score. FIG. 9 is a diagram showing an example of the transition information according to the present disclosure. The transition information may be graph information 66 that summarizes the scores of all evaluation items into one. The transition information generation unit 15 may summarize all evaluation items using statistical values other than the average value. For example, the statistical values other than the average value include representative values such as a minimum value, a maximum value, a median value, and a mode value.

[0036] The extraction unit 16 extracts, as singularity points, the dates and times when the change value of the score of the evaluation item becomes equal to or greater than a predetermined value from the generated transition information. For example, the extraction unit 16 extracts, as singularity points, the dates and times when the score increases or decreases by a predetermined value or more. When the transition information is a graph, the extraction unit 16 may extract, as singularity points, the dates and times when the change value of the slope becomes equal to or greater than a predetermined value.

[0037] The presentation information generation unit 17 generates presentation information including the transition information and the support record information. The presentation information generation unit 17 generates presentation information by associating the support record information for each date and time included in the transition information. For example, for the date and time "October 4th", the score on October 4th and the content of the support information performed on October 4th are associated. That is, the content of the support information performed on October 4th is associated with the score on October 4th.

[0038] FIG. 10 is a diagram showing an example of presentation information according to the present disclosure. An example of presentation information (presentation information W2) will be described with reference to FIG. 10. The presentation information W2 includes transition information (D4) and support information (D5, D6). For example, when a specific point P1 on the graph is selected via the input unit of the supporter terminal 80, the support information (D5, D6) performed at the date and time corresponding to the point P1 is displayed. Note that the marker M1 is a pointer for indicating the position selected by the input unit of the supporter terminal 80. The support information D5 is information indicating a support record included in the support information. The support information D6 is a GUI for checking support information other than the support record. When any button included in the support information D6 is selected, the information of the selected item performed on that day is displayed on the output unit of the supporter terminal 80.

[0039] The presentation information generation unit 17 may further include the profile information of the support target person in the presentation information. In the example of FIG. 10, the presentation information W2 includes the profile information D3 of the support target person. Further, when the transition information D4 is displayed for each evaluation item, the presentation information W2 may include a button B5 for selecting other evaluation items. In the example shown in FIG. 10, the transition information included in the presentation information W2 is shown as transition information for one evaluation item, but is not limited thereto. For example, the transition information D4 may be graph information such as the graph information 64 shown in FIG. 7 or the graph information 66 shown in FIG. 9. Further, the transition information D4 is not limited to graph information and may be expression information. For example, the transition information D4 may be expression information such as the expression information 63 shown in FIG. 6 or the expression information 65 shown in FIG. 8. The presentation information W2 includes at least the transition information D4 and the support information D5 (support record information), and may not include other items. Further, the presentation information W2 may include information other than the information described above.

[0040] FIG. 11 is a diagram showing an example of presentation information according to the present disclosure. Using FIG. 11, another example of presentation information (presentation information W3) will be described. The presentation information generation unit 17 may generate presentation information in which a marker indicating the feature points extracted by the extraction unit 16 is superimposed on the transition information. In the example of FIG. 11, a marker M2 representing the feature points may be displayed superimposed on the transition information D4. The marker M2 may be changed to a marker M3 indicating that the feature point has been selected in response to the selection of the marker M2 of the feature point via the input unit of the supporter terminal 80. In the example of FIG. 11, in response to the change of the marker M2 of the feature point to the marker M3, the support information D7 performed at the date and time corresponding to the feature point displayed by the marker M3 is pop-up displayed.

[0041] The output unit 18 outputs the generated presentation information. The output unit 18 transmits the presentation information generated by the presentation information generation unit 17 to the supporter terminal 80. The output unit 18 causes the output unit of the supporter terminal 80 to display the received presentation information. The supporter who has seen the screen of the supporter terminal 80 can grasp the transition of the score regarding the evaluation items of the supporter.

[0042] (Operation) Next, an example of the operation of the information generation device 10 in the present embodiment will be described with reference to the drawings. FIG. 12 is a flowchart showing an example of the operation of the information generation device in the present disclosure.

[0043] First, the acquisition unit 11 acquires the profile information and support information of the support target person to be evaluated from the storage device 70 (step S11). The support information is information that associates the date and time when the supporter provided employment support to the support target person with the content of the employment support at that date and time.

[0044] Next, the input request unit 12 receives the input of evaluation items (step S12). The input request unit 12 requests the supporter terminal 80 to input evaluation items. The input request unit 12 acquires the evaluation items for which the input has been received.

[0045] Next, the score calculation unit 13 calculates, for each date and time, a score indicating the degree of relevance between the evaluation item input in step S12 and the support information using the support information acquired in step S11 (step S13). The score calculation unit 13 inputs the text information of the support information and the evaluation item into the score calculation model stored in the storage unit 14. The score calculation unit 13 acquires a score, which is a value indicating the degree of relevance between the evaluation item and the support information, output from the score calculation model. In step S12, when the input of a plurality of evaluation items is received, the score calculation unit 13 calculates a score for each evaluation item.

[0046] Next, the transition information generation unit 15 generates transition information representing the transition of the calculated score (step S14). For example, the transition information is generated as expression information or graph information.

[0047] Next, the extraction unit 16 extracts, from the generated transition information, the date and time when the change value of the score of the evaluation item becomes equal to or greater than a predetermined value as a singular point (step S15). For example, the extraction unit 16 extracts the date and time when the score increases or decreases by a predetermined value or more as a singular point. When the transition information is a graph, the extraction unit 16 may extract the date and time when the change value of the slope becomes equal to or greater than a predetermined value as a singular point.

[0048] Next, the presentation information generation unit 17 generates presentation information including the transition information and the support record information (step S16). The presentation information may be associated with the profile information of the support target person and the information of the singular point extracted by the extraction unit 16.

[0049] Next, the output unit 18 outputs the generated presentation information to the supporter terminal 80 (step S17). When the output of the presentation information is completed, the information generation device 10 ends the above-described series of processes.

[0050] As described above, the information generation device of the present embodiment includes an acquisition unit, an input request unit, a score calculation unit, a transition information generation unit, a presentation information generation unit, and an output unit. The acquisition unit acquires support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated. The input request unit accepts input of evaluation items. The score calculation unit calculates, for each date and time when employment support was provided, a score indicating the degree of relevance between the evaluation items and the support information using the support information. The transition information generation unit generates transition information representing the time-series transition of the calculated scores. The presentation information generation unit generates presentation information including support record information and transition information. The output unit outputs the generated presentation information.

[0051] With the above configuration, the information generation device of the present embodiment can generate presentation information that enables grasping the effect of employment support for the support target. The reason is that the presentation information is information that links the transition information and the support record information. The transition information is information indicating the transition of scores indicating the degree of relevance between the evaluation items and the support information. The evaluation items are items related to the motivation of the support target for employment activities. A supporter who checks the presentation information can grasp what kind of effect the employment support provided by the supporter to the support target has had on the motivation of the support target. That is, according to the information generation device of the present embodiment, it is possible to generate presentation information that enables grasping the effect of employment support for the support target.

[0052] The transition information generated by the information generation device according to one aspect of the present embodiment is graph information indicating the time-series transition of scores. According to one aspect of the present embodiment, it is possible to intuitively grasp the time-series transition of the motivation of the support target for employment activities.

[0053] An information generation device according to an aspect of the present embodiment acquires profile information of a person to be supported by an acquisition unit. Further, a presentation information generation unit adds the profile information of the person to be supported to the presentation information. For example, the profile information includes at least any one of the work history information of the person to be supported, the characteristic information regarding the ability of the person to be supported, the personality information of the person to be supported, or the support level of the person to be supported. According to this aspect, a supporter who checks the presentation information can grasp what kind of characteristics, accuracy, skills, and abilities the person to be supported has and the effect of job hunting support. That is, according to the information generation device of this aspect, it is possible to generate presentation information that enables grasping the effect of job hunting support according to the characteristics of the person to be supported.

[0054] An information generation device according to an aspect of the present embodiment further includes an extraction unit. The extraction unit extracts, as a singularity, a date and time when a change value of the score of an evaluation item becomes equal to or greater than a predetermined value from the generated transition information. The presentation information generation unit superimposes and displays a marker indicating the singularity extracted by the extraction unit on the transition information. According to this aspect, a supporter who checks the presentation information can grasp the support content that particularly affected the motivation of the person to be supported among the job hunting supports that the supporter provided to the person to be supported. That is, according to the information generation device of this aspect, it is possible to generate presentation information that enables grasping the effect of job hunting support for the person to be supported.

[0055] In one aspect of the present embodiment, the transition information is information that associates the score for each evaluation item with the date and time. According to this aspect, it is possible to grasp for each evaluation item what kind of effect the job hunting support provided by the supporter to the person to be supported has had on the motivation of the person to be supported.

[0056] Further, in one aspect of the present embodiment, the transition information is generated for each group combining a plurality of evaluation items. For example, the transition information is generated for each group combining evaluation items in an opposing relationship. According to this aspect, it is possible to grasp for each evaluation item in an opposing relationship what kind of effect the job hunting support provided by the supporter to the person to be supported has had on the motivation of the person to be supported.

[0057] Also, in one aspect of the present embodiment, the transition information is generated by summarizing all evaluation items into one. According to this aspect, it is possible to grasp what kind of effect the job hunting support provided by the supporter to the support target has on the motivation of the support target.

[0058] (Second Embodiment) Next, the information generation device in the present embodiment will be described with reference to the drawings. In the following description, the same reference numerals are given to the same parts as in the first embodiment, and the description will be omitted as appropriate. The information generation device of the present embodiment is different from the information generation device in the first embodiment in that it includes an analysis unit that analyzes the support content recommended according to the profile information of the support target. In the following, the recommended support content includes what is effective and what is not effective for the support target. The effective support content is the content of job hunting support that is preferably provided to the support target. On the other hand, the ineffective support content is the content of job hunting support that is preferably not provided to the support target.

[0059] The analysis unit included in the information generation device of the present embodiment will be further described with reference to FIG. 13. FIG. 13 is a conceptual diagram for explaining the processing of the analysis unit according to the present disclosure in the present embodiment. The analysis unit of the present embodiment estimates the support content 69 recommended for the support target person using the recommended support estimation model. The recommended support estimation model is a learned model generated by machine learning. The recommended support estimation model is a learned model that is learned using the support content performed at the date and time of the singular point extracted by the extraction unit, the change value of the score, and the profile information of the support target person as teacher data 67. The support content for which the score change value is a positive value is effective support content for the support target person. When the score change value is a positive value, the larger the score change value, the more effective the support content for the support target person. The support content for which the score change value is a negative value is ineffective support content for the support target person. When the score change value is a negative value, the larger the score change value, the more ineffective the support content for the support target person. The recommended support estimation model is trained to output the support content for the support target person in response to the input of the profile information of the support target person. For example, the recommended support estimation model is trained to output the support content for which the score change value becomes a positive value in response to the input of the profile information of the support target person. For example, the recommended support estimation model is trained to output one or more pieces of support information for which the score change value becomes a positive value. Further, the recommended support estimation model may be configured to estimate the support content recommended for the support target person including data other than the support information for which the score change value becomes a positive value. For example, the recommended support estimation model may be trained to output the support content for which the score change value becomes a negative value in response to the input of the profile information of the support target person. The recommended support estimation model may be a re-learnable model. By re-learning, the accuracy of the recommended support estimation model can be improved.

[0060] In the example of FIG. 13, the analysis unit of the present embodiment inputs the profile information 68 of the support target person to be analyzed into the recommended support estimation model. In the example of FIG. 13, the profile information 68 includes the level and characteristics of the support target person. The recommended support estimation model outputs the support content 69 recommended for the support target person in response to the input of the profile information 68. The analysis unit of the present embodiment estimates the support content 69 output from the recommended support estimation model as the support content recommended for the support target person. In the example of FIG. 13, three examples are illustrated as the recommended support content. The first is "support content effective for a person at support level A". The second is "support content with little effect even if performed on a person at support level A". The third is "support content effective for a person with low self - esteem".

[0061] (Configuration) FIG. 14 is a block diagram showing an example of the configuration of the information support system according to the present disclosure. The information support system 2 in the present embodiment includes an information generation device 20 and a supporter terminal 80. The information generation device 20 includes an acquisition unit 11, an input request unit 22, a score calculation unit 13, a storage unit 14, a transition information generation unit 15, an extraction unit 26, a presentation information generation unit 27, an output unit 18, and an analysis unit 29. The information generation device 20 of the present embodiment is communicably connected to a storage device 50 and a storage device 70.

[0062] [Storage device] The storage device 50 stores the extraction results of the extraction unit 26 regarding at least one support target person who has received employment support in the past and the recommended support estimation model used by the analysis unit 29. The storage device 50 stores the support content, the change value of the score, and the profile information of the support target person at the date and time of the singularity extracted by the extraction unit 26 regarding at least one support target person who has received support in the past. Note that these pieces of information may be stored in the storage device 70 or the storage unit 14. The storage device 70 has the same configuration as that of the first embodiment. The storage device 70 stores a database in which information regarding the support target person is stored.

[0063] [Information generation device] Next, the configuration of the information generation device 20 will be described. Note that the parts with the same reference numerals as those in the first embodiment are the same as those in the first embodiment, and thus the description thereof will be omitted.

[0064] The input request unit 22 requests the supporter terminal 80 to input the profile information of the support target person to be analyzed.

[0065] The process of the input request unit 22 will be further described with reference to FIG. 15. FIG. 15 is a diagram showing an example of a profile information input request screen according to the present disclosure. The profile information input request screen W4 includes a data area D8 showing a list of profile information about the support target person to be analyzed. In the example of FIG. 15, each item such as the support level and characteristics included in the profile information is represented by a button. The supporter selects the button of the item to be analyzed from among the items included in the data area D8 via the input unit of the supporter terminal 80. When the supporter terminal 80 detects that the selection of the item to be analyzed is completed, the input information is transmitted to the information generation device 20. For example, when the button B6 is pressed on the profile information input request screen W4, the supporter terminal 80 detects that the selection of the evaluation item is completed. The input request unit 22 acquires the information received from the supporter terminal 80 as an evaluation item.

[0066] The extraction unit 26 extracts, from the generated transition information, the date and time when the change value of the score of the evaluation item becomes equal to or greater than a predetermined value as a singular point. The extraction unit 26 stores, in the storage device 50 as an evaluation result, the support content, the change value of the score, and the profile information of the support target person performed at the date and time of the extracted singular point. The extraction unit 26 may further store the date and time of the singular point in the storage device 50.

[0067] The analysis unit 29 uses the evaluation result stored in the storage device 50 as teacher data to machine-learn a recommended support estimation model. The analysis unit 29 inputs the profile information of the support target person to the recommended support estimation model trained by machine learning. The analysis unit 29 acquires the support content recommended for the support target person output from the recommended support estimation model.

[0068] The prompting information generation unit 27 generates prompting information using the recommended support content acquired by the analysis unit 29. FIG. 16 shows an example of the prompting information according to the present disclosure. The prompting information W5 includes information D9 representing the recommended support content. In the example shown in FIG. 16, the recommended support content includes effective support and ineffective support for the support target person to be analyzed. Effective support includes support content for which the score of the evaluation item can change positively. In the example of FIG. 16, effective support includes support D and support E. Support D tends to increase the motivation of the support target person and is effective when performed in the middle of the support. Support E tends to enhance the self-affirmation feeling of the support target person and is effective when performed after support F (not shown). Support that should not be performed includes support content for which the score of the evaluation item can change negatively. In the example of FIG. 16, support that should not be performed includes support G and support H. Support G tends to decrease the motivation of the support target person, and in particular, it is better not to perform it when the motivation of the support target person is low. Support H tends to reduce the subjectivity of the support target person. When the date and time of the singular point are stored in the storage device 50, the information D9 included in the prompting information W5 may include the recommended timing for implementing the recommended support content.

[0069] (Operation) Next, an example of the operation of the information generation device 20 in the present embodiment will be described with reference to FIGS. 17 and 18. FIGS. 17 and 18 are flowcharts showing an example of the operation of the information generation device in the present disclosure.

[0070] [Preprocessing] Before performing the operation shown in FIG. 18, the information generation device 20 performs the operation shown in FIG. 17 as preprocessing. The process of FIG. 17 is performed after the processes of steps S11 to S17 shown in FIG. 12 are completed.

[0071] First, the extraction unit 26 stores, in the storage device 50 as evaluation results, the support content performed at the date and time of the extracted singular point, the change value of the score, and the profile information of the support target person (step S21).

[0072] Next, the analysis unit 29 uses the evaluation result as teacher data to machine-learn the recommended support estimation model (step S22).

[0073] [This operation] Next, with reference to FIG. 18, the main operation of the information generation device 20 will be described. First, the input request unit 22 requests the supporter terminal 80 to input profile information of the support target person to be analyzed (step S23).

[0074] Next, the analysis unit 29 inputs the profile information of the support target person into the recommended support estimation model stored in the storage device 50. The analysis unit 29 acquires the support content recommended for the support target person as the output from the recommended support estimation model (step S24).

[0075] Next, the presentation information generation unit 27 generates presentation information using the recommended support content acquired by the analysis unit 29 (step S25).

[0076] Next, the output unit 18 outputs the generated presentation information to the supporter terminal 80 (step S26).

[0077] The information generation device in this embodiment is configured as described above. In addition to the effects described in the first embodiment, the information generation device in this embodiment obtains the following effects.

[0078] The information generation device in this embodiment further includes an analysis unit. The analysis unit inputs the profile information of the support target person to be analyzed into the recommended support estimation model stored in the storage device. The analysis unit acquires the support content recommended for the support target person to be analyzed as the output from the recommended support estimation model. The recommended support estimation model is a learned model that has been machine-learned using the support content performed at the date and time of the singular point extracted by the extraction unit, the change value of the score, and the profile information of the support target person as teacher data. The presentation information generation unit generates presentation information using the recommended support content acquired by the analysis unit. The output unit outputs the generated presentation information.

[0079] With the above configuration, the information generation device of the present embodiment can generate information for grasping the support content recommended according to the history, characteristics, and personality of the support target person. In order to provide effective employment support for the support target person, it is necessary to provide employment support according to the history, characteristics, and personality of each support target person. It is preferable that the supporter actively provides effective support to the support target person and avoids ineffective support. Generally, the judgment of what kind of employment support is effective for the support target person and what kind of employment support is ineffective has been made based on the past experience of the supporter. The information generation device of the present embodiment generates presentation information including the support content recommended according to the history, characteristics, and personality of the support target person based on past cases. The supporter who checks the presentation information can grasp the support content recommended according to the history, characteristics, and personality of the support target person. Thereby, for example, even a supporter with little experience in employment support can provide effective employment support for the support target person.

[0080] The recommended support estimation model according to one aspect of the present embodiment is a learned model that is machine-learned using, as teacher data, the profile information of at least one support target person who has received employment support in the past, the support content provided at the time of the singularity, the change value of the score, and the time of the singularity. Further, the analysis unit acquires, as an output from the recommended support estimation model, the recommended timing for implementing the recommended support content. The presentation information generated by the presentation information generation unit further includes the recommended timing for implementing the recommended support content. According to this aspect, it is possible to grasp at what timing it is effective to provide support to the support target person.

[0081] (Third Embodiment)

[0082] (Configuration) Next, the configuration of the information generation device according to the present embodiment will be described with reference to the drawings. The information generation device 30 has a simplified configuration of the information generation devices according to the first and second embodiments. In the following description, parts similar to those of the first or second embodiment will be omitted as appropriate.

[0083] FIG. 19 is a block diagram showing an example of the configuration of the information generation device in the present disclosure. The information generation device 30 includes an acquisition unit 31, a score calculation unit 33, a transition information generation unit 35, a presentation information generation unit 37, and an output unit 38.

[0084] The acquisition unit 31 acquires support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated. The score calculation unit 33 calculates, for each date and time when employment support is provided, a score indicating the degree of association between the evaluation item and the support information using the support information. The transition information generation unit 35 generates transition information representing the time-series transition of the scores calculated for each date and time when employment support is provided. The presentation information generation unit 37 generates presentation information including support record information, which is record information of the support provided by the supporter to the support target, and the transition information. The output unit 38 outputs the generated presentation information.

[0085] (Operation) FIG. 20 is a flowchart showing an example of the operation of the information generation device according to the present disclosure. An example of the operation of the information generation device in the present disclosure will be described with reference to FIG. 20.

[0086] First, the acquisition unit 31 acquires support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated (step S31).

[0087] Next, the score calculation unit 33 calculates, for each date and time, a score indicating the degree of association between the evaluation item used to estimate the motivation of the support target for job hunting activities and the support information (step S32).

[0088] Next, the transition information generation unit 35 generates transition information representing the time-series transition of the scores calculated for each date and time when the job-hunting support was provided (step S33).

[0089] Next, the presentation information generation unit 37 generates presentation information including the support record information, which is the record information of the support provided by the supporter to the support target, and the transition information (step S34).

[0090] Next, the output unit 38 outputs the generated presentation information (step S35).

[0091] The information generation device of the present embodiment generates presentation information that is information linking the transition information and the support information. The transition information is information indicating the transition of scores indicating the degree of association between the evaluation items and the support information. The evaluation items are items related to the motivation of the support target for job-hunting activities. The supporter who checks the presentation information can grasp what kind of effect the job-hunting support provided by the supporter to the support target has on the motivation of the support target. That is, according to the information generation device of the present embodiment, it is possible to generate presentation information that can grasp the effect of the job-hunting support for the support target.

[0092] (Hardware Configuration) Each component according to each embodiment of the present disclosure described above can be realized not only by realizing its function as hardware, but also by a computer device or firmware based on program control.

[0093] FIG. 21 is a diagram showing an example of a hardware configuration in which the information generation device according to the present disclosure is realized by a computer device 90 including a processor. The information generation device of each embodiment is realized by the computer device 90. As shown in FIG. 21, the computer device 90 includes a CPU (Central Processing Unit) 91, a memory 92, a storage device 93 such as a hard disk for storing programs, an input / output interface 94 for connecting an input device and an output device, and a communication interface 95 for network connection.

[0094] The CPU 91 operates an operating system to control the information generation device of the present disclosure. For example, the CPU 91 reads programs and data from a storage medium mounted on a drive device or the like into the memory 92. Further, the CPU 91 functions as a part of, for example, the acquisition unit 11, the input request unit 12, the score calculation unit 13, the transition information generation unit 15, the extraction unit 16, the presentation information generation unit 17, and the output unit 18 of the information generation device 10 of the present disclosure, and executes processes or instructions based on the program.

[0095] The storage device 93 is, for example, an optical disk, a flexible disk, a magneto-optical disk, an external hard disk, or a semiconductor memory. A part of the storage medium of the storage device is a non-volatile storage device, and a program is recorded therein. Further, the program may be downloaded from an external computer (not shown) connected to a communication network.

[0096] The input device connected to the input / output interface 94 is realized by, for example, a mouse, a keyboard, or the like, and is used for input operations. Similarly, the output device connected to the input / output interface 94 is realized by, for example, a display or the like, and is used for displaying and confirming output results.

[0097] Although the present disclosure has been described with reference to the embodiments above, the present disclosure is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. And each embodiment can be combined with other embodiments as appropriate.

[0098] Some or all of the above embodiments may also be described as follows in the following supplementary notes. (Supplementary Note 1) An acquisition means for acquiring support information in which the date and time when a supporter provided employment support to a support target person is associated with the content of the employment support at that date and time; A score calculation means for calculating, for each date and time when the employment support is provided, a score representing the degree of association between an evaluation item used for estimating the motivation of the support target person for job hunting activities and the support information; Transition information generation means for generating transition information representing the time-series transition of the score calculated for each date and time when the employment support was provided; Presentation information generation means for generating presentation information including support record information, which is record information of the support provided by the supporter to the support target, and the transition information; Output means for outputting the generated presentation information An information generation device comprising: (Appendix 2) The transition information is Graph information showing the transition of the score, the information generation device according to Appendix 1. (Appendix 3) The information generation device according to Appendix 1, further comprising an input request unit for receiving an input of the evaluation item. (Appendix 4) The acquisition means Further acquires profile information including at least any one of the history information of the support target, the characteristic information regarding the ability of the support target, the personality information of the support target, or the support level of the support target, The presentation information generation means Adds the profile information to the presentation information, the information generation device according to Appendix 1. (Appendix 5) Further comprises extraction means for extracting, as singular points, the dates and times when the change value of the score becomes equal to or greater than a predetermined value from the transition information, The presentation information generation means Superimposes and displays a marker indicating the extracted singular point on the graph information, the information generation device according to Appendix 2. (Appendix 6) Extraction means for extracting, as singular points, the dates and times when the change value of the score becomes equal to or greater than a predetermined value from the transition information; and Analysis means for obtaining the support content recommended for the support target by using a recommended support estimation model that outputs the support content recommended for the support target in response to an input of the profile information of the support target to be analyzed; The profile information is including at least any one of the history information, characteristic information regarding capabilities, personality information, or support level of the support target person, the recommended support estimation model is, a trained model that has been machine - learned using, as teacher data, for at least one support target person who has received the support in the past, the profile information of the support target person, the content of the support provided at the date and time of the singularity, and the change value of the score, the acquisition means, acquires the profile information of the support target person to be analyzed, the analysis means, inputs the acquired profile information into the recommended support estimation model, acquires the recommended support content output from the recommended support estimation model, the presentation information generation means, is an information generation device according to Appendix 1 that generates the presentation information including the recommended support content. (Appendix 7) the recommended support estimation model is, a trained model that has been machine - learned using, as teacher data, for at least one support target person who has received support in the past, the profile information of the support target person, the content of the support provided at the date and time of the singularity, the change value of the score, and the date and time of the singularity, the analysis means, acquires the recommended timing for implementing the recommended support content, the presentation information generation means, is an information generation device according to Appendix 6 that outputs the presentation information further including the recommended timing for implementing the recommended support content. (Appendix 8) an information generation device according to any one of Appendices 1 to 7, and a supporter terminal having a display screen for displaying the presentation information comprising an information generation system. (Appendix 9) A computer, acquires support information in which the date and time when a supporter provided employment support to a support target person is associated with the content of the employment support at that date and time, Calculate a score representing the degree of relevance between the evaluation items used to estimate the motivation of the supported person for job hunting activities and the support information for each date and time when the job hunting support was provided, Generate transition information representing the time-series transition of the score calculated for each date and time when the job hunting support was provided, Generate presentation information including support record information, which is the record information of the support provided by the supporter to the supported person, and the transition information, Output the generated presentation information Information generation method. (Appendix 10) Cause a computer to Perform a process of obtaining support information in which the date and time when the supporter provided job hunting support to the supported person is associated with the content of the job hunting support at that date and time, Perform a process of calculating a score representing the degree of relevance between the evaluation items used to estimate the motivation of the supported person for job hunting activities and the support information for each date and time when the job hunting support was provided, Perform a process of generating transition information representing the time-series transition of the score calculated for each date and time when the job hunting support was provided, Perform a process of generating presentation information including support record information, which is the record information of the support provided by the supporter to the supported person, and the transition information, Perform a process of outputting the generated presentation information A program for causing the above to be executed.

[0099] Also, in the above appendices, part or all of the configurations described in Appendices 2 to 7 that are subordinate to Appendix 1 may be subordinate to Appendices 9 and 10 in the same subordinate relationship as Appendices 2 to 7. Furthermore, not limited to Appendices 1, 9, and 10, within the scope not departing from the above-described embodiments, similarly, part or all of the configurations described as appendices can be made subordinate to various hardware, software, various recording means for recording software, or systems.

Explanation of Signs

[0100] 1 Information generation system 10, 20, 30 Information Generation Device 11, 31 Acquisition Unit 12, Input Requirement Unit 13, 33 Score Calculation Unit 14 Memory Unit 15, 35 Transition Information Generation Unit 16, 26 Extraction Unit 17, 27, 37 Presentation Information Generation Unit 18, 28, 38 Output Unit 29 Analysis Unit 50 Memory Device 70 Memory Device 80 Supporter Terminal 90 Computer Device 91 CPU (Central Processing Unit) 92 Memory 93 Memory Device 94 Input / Output Interface 95 Communication Interface

Claims

1. An acquisition means for acquiring support information in which the date and time when a supporter provided employment support to a support target and the content of the employment support at that date and time are associated; A score calculation means for calculating, for each date and time when the employment support is provided, a score representing the degree of relevance between an evaluation item used for estimating the motivation of the support target for employment activities and the support information; A transition information generation means for generating transition information representing the time-series transition of the score calculated for each date and time when the employment support is provided; A presentation information generation means for generating presentation information including support record information which is record information of the support provided by the supporter to the support target and the transition information; An output means for outputting the generated presentation information An information generation device comprising:

2. The transition information is Graph information showing the time-series transition of the score, according to the information generation device of Claim 1.

3. The information generation device according to Claim 1, further comprising an input request unit for receiving an input of the evaluation item.

4. The acquisition means Further acquires profile information including at least any one of the history information of the support target, characteristic information regarding the ability of the support target, personality information of the support target, or the support level of the support target, The presentation information generation means Adds the profile information to the presentation information, according to the information generation device of Claim 1.

5. Further comprises an extraction means for extracting, from the transition information, a date and time when the change value of the score becomes equal to or greater than a predetermined value as a singular point, The presentation information generation means Superimposes and displays a marker indicating the extracted singular point on the graph information, according to the information generation device of Claim 2.

6. An extraction means for extracting, from the transition information, a date and time when the change value of the score becomes equal to or greater than a predetermined value as a singular point; and An analysis means for acquiring support content recommended for the support target by using a recommended support estimation model that outputs support content recommended for the support target to be analyzed in response to an input of profile information of the support target to be analyzed, The profile information Includes at least any one of the history information of the support target, characteristic information regarding the ability, personality information, or support level of the support target, The recommended support estimation model A learned model that has been machine-learned using, as teacher data, for at least one support target person who has received the employment support in the past, the profile information of the support target person, the support content provided at the date and time of the singularity, and the change value of the score. The acquisition means is to acquire the profile information of the support target person to be analyzed. The analysis means is to input the acquired profile information into the recommended support estimation model. to acquire the recommended support content output from the recommended support estimation model. The presentation information generation means is to generate the presentation information including the recommended support content, the information generation device according to claim 1.

7. The recommended support estimation model is a learned model that has been machine-learned using, as teacher data, for at least one support target person who has received the employment support in the past, the profile information of the support target person, the support content provided at the date and time of the singularity, the change value of the score, and the date and time of the singularity. The analysis means is to acquire the recommended timing for implementing the recommended support content. The presentation information generation means is to output the presentation information further including the recommended timing for implementing the recommended support content, the information generation device according to claim 6.

8. The information generation device according to any one of claims 1 to 7, and a supporter terminal having a display screen for displaying the presentation information An information generation system comprising.

9. A computer acquires support information in which the date and time when the supporter provided employment support to the support target person is associated with the content of the employment support at that date and time. calculates a score representing the degree of association between the evaluation items used for estimating the motivation of the support target person for job hunting activities and the support information for each date and time when the employment support was provided. generates transition information representing the time-series transition of the score calculated for each date and time when the employment support was provided. generates presentation information including support record information which is the record information of the support provided by the supporter to the support target person and the transition information. outputs the generated presentation information An information generation method.

10. In a computer, a process of acquiring support information in which the date and time when the supporter provided employment support to the support target person is associated with the content of the employment support at that date and time, and a process of calculating a score representing the degree of association between the evaluation items used for estimating the motivation of the support target person for job hunting activities and the support information for each date and time when the employment support was provided. A process of generating transition information representing the time-series transition of the score calculated for each date and time when the employment support was provided; A process of generating presentation information including support record information which is record information of the support provided by the supporter to the support target and the transition information; A process of outputting the generated presentation information; A program for executing the above.

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