Information processing apparatus, information processing method, and program

Abstract

To provide a technique for extracting challenges for improving abilities possessed by an individual and outputting recommendations for solving the challenges.SOLUTION: An object person information acquisition unit 51 acquires information including the copyrighted works (such as documents, sentences and pictures) of an object person and at least one of an image(s) or voice data picked up or recorded for the object person as object person information. The recommendation unit 52 outputs recommendations including solutions to challenges for improving the specific abilities possessed by the object person based on the object person information acquired by the object person information acquisition unit 51 and stored in an object person information DB 81.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] BACKGROUND ART Conventionally, there have been human resource development support systems that diagnose the skills of users and support human resource development based on the results of the diagnosis (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-246507 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technologies, including the technology described in Patent Document 1 above, are aimed at students who want to improve their skills, but they do not extract issues that can improve an individual's existing abilities and output recommendations for solving those issues.

[0005] The present invention was made in consideration of such circumstances, and aims to provide a technology that extracts issues to improve an individual's skills and outputs recommendations for solving those issues. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one aspect of the present invention comprises: a subject information acquisition means for acquiring, as subject information, information including at least one of the subject's copyrighted work and image or audio data of the subject; a recommendation means for outputting a recommendation including a solution to a problem for improving a predetermined ability possessed by the subject based on the subject information; Equipped with. Note that an information processing method and a program corresponding to the information processing device according to one aspect of the present invention are also provided as an information processing method and a program according to one aspect of the present invention. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide a technology that extracts issues to improve the skills possessed by an individual and outputs recommendations for solving those issues. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating an example of a configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. [Figure 2] 2 is a block diagram showing an example of a hardware configuration of a server in the information processing system of FIG. 1. FIG. [Figure 3] 3 is a functional block diagram showing an example of a functional configuration of a server of FIG. 2 that constitutes the information processing system of FIG. 1. [Figure 4] FIG. 10 is a diagram showing an overview of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied, in the case where "the desired image (goal) is present." [Figure 5] FIG. 10 is a diagram showing an overview of the case where there is no desired image (goal) in the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. [Figure 6] 10A and 10B are diagrams for explaining types of electronic files and units of recommendations to be output; [Figure 7] FIG. 10 is a diagram for explaining output of recommendations. [Figure 8] FIG. 10 is a diagram for explaining the logic of processing (processing A, processing B). [Figure 9]FIG. 10 is a diagram relating to Case 1 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. [Figure 10] FIG. 10 is a diagram relating to Case 1 (with goal) and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. [Figure 11] FIG. 10 is a diagram relating to Case 1 (with goal) and is a diagram for explaining process A-3 of the processing logic. [Figure 12] FIG. 10 is a diagram relating to Case 1 (with goal) and is a diagram for explaining process A-4 of the processing logic. [Figure 13] FIG. 10 is a diagram relating to Case 2 (no goal), and is a diagram for explaining attribute information to be input, input text and video, and processing logic. [Figure 14] FIG. 10 is a diagram relating to Case 3 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. [Figure 15] FIG. 10 is a diagram relating to Case 3 (with goal) and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. [Figure 16] FIG. 10 is a diagram relating to Case 3 (with goal) and is a diagram for explaining process A-3 of the processing logic. [Figure 17] FIG. 10 is a diagram relating to Case 3 (with goal) and is a diagram for explaining process A-4 (attribute 1, attribute 2) of the processing logic. [Figure 18] FIG. 10 is a diagram relating to Case 3 (with goal) and is a diagram for explaining process A-4 (attribute 3) of the processing logic. [Figure 19] FIG. 10 is a diagram relating to Case 4 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. [Figure 20] FIG. 10 is a diagram relating to Case 4 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. [Figure 21]FIG. 10 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-3 (attributes 1 to 3) of the processing logic. [Figure 22] FIG. 10 is a diagram relating to Case 4 (with goal) and is a diagram for explaining process A-3 (attribute 4, attribute 5) of the processing logic. [Figure 23] FIG. 10 is a diagram relating to Case 4 (with goal) and is a diagram for explaining process A-4 (attribute 1, attribute 2) of the processing logic. [Figure 24] FIG. 10 is a diagram relating to Case 4 (with goal) and is a diagram for explaining process A-4 (attribute 3, attribute 4) of the processing logic. [Figure 25] FIG. 10 is a diagram relating to Case 4 (with goal) and is a diagram for explaining process A-4 (attribute 5) of the processing logic. [Figure 26] FIG. 10 is a diagram relating to Case 5 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. [Figure 27] FIG. 10 is a diagram relating to Case 5 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. [Figure 28] FIG. 10 is a diagram relating to Case 5 (with goal), and is a diagram for explaining processing A-3 and processing A-4 of the processing logic. [Figure 29] FIG. 10 is a diagram relating to Case 6 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. [Figure 30] FIG. 10 is a diagram relating to Case 6 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. [Figure 31] FIG. 10 is a diagram relating to Case 6 (with goal), and is a diagram for explaining processing A-3 and processing A-4 of the processing logic. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0010] First, with reference to FIG. 1, an example of the configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied will be described. FIG. 1 is a diagram showing an example of the configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied.

[0011] The information processing system shown in FIG. 1 is configured to include a server 1, a subject terminal 2, and an organization terminal 3. Here, there are n target user terminals 2 (not shown) (n is any integer value equal to or greater than 1) (since there is no need to distinguish between them, they are simply called target user terminals 2). There are also m organization terminals 3 (not shown) (m is an arbitrary integer value of 1 or more) (there is no need to distinguish them, so they are simply called organization terminals 3). The server 1, the subject terminal 2, and the organization terminal 3 are connected to each other via a network N such as the Internet. The server 1 is an information processing device managed by a service provider of this service (described later with reference to FIG. 4). The server 1 communicates with the target terminal 2 and the organization terminal 3 as needed, and executes various processes for realizing this service.

[0012] The subject terminal 2 is an information processing device operated and managed by a subject (user) (not shown) who belongs to a predetermined organization, and is configured, for example, as a personal computer, a tablet terminal, a smartphone, or the like. The above-mentioned organization is a group of people with a set goal, and with members whose status, roles, and corresponding responsibilities are determined. In this case, a company is taken as an example. In addition, in the case of such a company, the above-mentioned target person corresponds to the employees belonging to the company.

[0013] The organizational terminal 3 is an information processing device managed by the above-mentioned organization, and is configured, for example, by a personal computer, a tablet terminal, a smartphone, or the like. If the organizational end 3 is operated by a related person related to the above-mentioned target person, in this case, since the target person is an employee, it would be someone related to them at work, such as a supervisor, colleague, or person in the human resources department (this is just one example).

[0014] This service (details will be provided later) outputs recommended actions (recommendations) including solutions based on documents created by the subject himself / herself, video footage of the subject's actions (i.e., his / her own actions), electronic audio files, etc. In other words, this service outputs a recommendation, including a solution, based on the subject's copyrighted work (documents, writings, pictures, etc.) and image or audio data captured or recorded of the subject.

[0015] With this service, if the target person (the person, the user) sets a goal for what they want to become, the service will output recommendations for reaching that goal; if no goal is set, the service will derive recommendations based on the target person's attribute information and output these. Entering a goal is optional, and if a goal is entered, the service will output more precise recommendations. This service uses data from electronic files such as documents and videos that are not visualized or quantified to identify issues that can be addressed to improve an individual's skills, and outputs recommendations for solving those issues. This service uses input data not only from individuals but also from organizations (email exchanges, video footage of meetings, etc.), making it possible to present recommendations to both individuals and organizations. This service makes judgments based on the condition of electronic files such as documents and videos, and outputs recommendations of suitable attributes and appropriate rewards. In addition to recommendations related to improving skills, this service also presents recommendations from the perspective of the knowledge that individuals and organizations should have and the mindset they should have.

[0016] In this embodiment, the server 1 operates in cooperation with the subject terminal 2 and the organization terminal 3 as follows. That is, server 1 acquires data such as electronic files that are not visualized or quantified, such as documents and videos, as subject information, and based on this acquired data, extracts issues to improve the individual's abilities and outputs recommendations for solving those issues. In addition, the server 1 outputs a recommendation including a recommended initiative. Furthermore, when a goal is set by the subject, the server 1 outputs a recommendation including a recommended effort to reach the goal. The server 1 also outputs the recommendation together with the estimated time required to reach the goal.

[0017] The server 1 further acquires the subject's attributes as part of the above-mentioned subject information, and if the above-mentioned goal is not set, outputs recommendations including recommended actions to help the subject reach their desired state in terms of their attributes, i.e., to reach their goal. Furthermore, if the above-mentioned goal is not set, the server 1 outputs a recommendation including an ideal state of the subject's attributes.

[0018] The server 1 outputs a recommendation including attributes that are suitable for the subject, regardless of whether the subject has set a goal. Furthermore, the server 1 outputs the recommendation including the appropriate reward for the subject, regardless of whether a goal is set or not.

[0019] FIG. 2 is a block diagram showing an example of a hardware configuration of a server in the information processing system of FIG.

[0020] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0021] The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13 . The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0022] The CPU 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output interface 15 is also connected to this bus 14. An input unit 16, an output unit 17, a memory unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0023] The input unit 16 is configured with, for example, a keyboard and is used to input various information. The output unit 17 is configured with a display such as a liquid crystal display, a speaker, etc., and outputs various information as images and sounds. The storage unit 18 is configured with a DRAM (Dynamic Random Access Memory) or the like, and stores various data. The communication unit 19 communicates with other devices (for example, the subject terminal 2 and the organization terminal 3 in FIG. 1) via a network including the Internet.

[0024] Removable media 30, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is appropriately attached to the drive 20. A program read from the removable media 30 by the drive 20 is installed in the storage unit 18 as needed. Furthermore, the removable medium 30 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18.

[0025] Although not shown, the subject terminal 2 and the organization terminal 3 in Fig. 1 may each have a configuration basically similar to the hardware configuration shown in Fig. 2. Therefore, a description of the hardware configuration of each of the subject terminal 2 and the organization terminal 3 will be omitted.

[0026] The various hardware and software components of the server 1 shown in Fig. 2 cooperate to execute various processes, thereby making it possible to provide the above-described service.

[0027] The functional configuration of the server 1 in FIG. 2 of the information processing system in FIG. 1 will be described below. FIG. 3 is a functional block diagram showing an example of the functional configuration of the server of FIG. 2 that constitutes the information processing system of FIG.

[0028] As shown in FIG. 3, in the CPU 11, a target person information acquisition unit 51 and a recommendation unit 52 function. The storage unit 18 also includes a target person information DB 81 and a recommendation information DB 82.

[0029] The subject information acquisition unit 51 acquires, as subject information, information including at least one of the subject's copyrighted work (documents, writings, pictures, etc.) and image or audio data of an image or audio recording of the subject. The acquired subject information is stored and managed in the subject information DB 81 by the subject information acquisition unit 51.

[0030] The recommendation unit 52 outputs recommendations including solutions to problems for improving specific abilities possessed by the subject, based on the subject information acquired by the subject information acquisition unit 51 and stored in the subject information DB 81. The recommendation unit 52 extracts, for example, the above-mentioned problems and derives solutions to the problems. In this embodiment, the information stored in the recommendation information DB82 is utilized to extract problems and derive solutions (the recommendations output by the recommendation unit 52 are also stored in the recommendation information DB82 and are utilized, for example, to extract problems and derive solutions the next time, etc.).

[0031] By having the subject information acquisition unit 51 and the recommendation unit 52 function in this manner, the server 1 can extract tasks to improve the skills possessed by an individual and output recommendations to solve those tasks.

[0032] Regarding the recommendation unit 52, the recommendation unit 52 outputs a recommendation including a recommended initiative. Furthermore, when a goal is set by the subject, the recommendation unit 52 outputs a recommendation including a recommended effort to reach the goal. Furthermore, the recommendation unit 52 outputs the recommendation together with the estimated time required to reach the above-mentioned goal. Therefore, by further functioning the recommendation unit 52 as described above, better recommendations can be output (which can also contribute to improving the skills possessed by individuals).

[0033] Regarding the subject information acquisition unit 51, the subject information acquisition unit 51 further acquires attributes of the subject as part of the subject information described above. Furthermore, with regard to the recommendation unit 52, if no goal is set, the recommendation unit 52 outputs a recommendation including a recommended effort to reach an ideal state in terms of the attributes of the subject. Therefore, by further functioning the subject information acquisition unit 51 and recommendation unit 52 as described above, better recommendations can be output even if no goal is set (which can also contribute to improving the abilities possessed by individuals).

[0034] Regarding the recommendation unit 52, the recommendation unit 52 outputs a recommendation that includes an ideal state of the target person in terms of attributes. Furthermore, the recommendation unit 52 outputs the recommendation including attributes that are suitable for the subject. Furthermore, the recommendation unit 52 outputs the recommendation including the appropriate remuneration for the subject. Therefore, by further functioning the recommendation unit 52 as described above, better recommendations can be output (which can also contribute to improving the skills possessed by individuals).

[0035] Here, we will explain the outline of this service. FIG. 4 is a diagram showing an overview of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied, in the case where "the desired image (goal) is present." On the other hand, FIG. 5 is a diagram showing an overview of the case where there is no desired image (goal) in this service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied.

[0036] This service extracts issues that can be addressed to improve an individual's skills and outputs recommendations for solving those issues. Specifically, in this service shown in Fig. 4, the server 1 acquires target person information in step S1 (the target person information also includes the target person's attributes). Then, based on the acquired target person information, in step S2, the service extracts issues to improve the target person's predetermined abilities and outputs recommendations including solutions to those issues.

[0037] In the example shown in Figure 4, there is a desired state (goal), and this service presents recommendations to the target person to close the gap between the goal and the current state (these recommendations may also be presented to the organization, not just the target person). This service recommends recommended activities (such as training, actions, books, useful information, work, occupations, etc.). This service also recommends the period (N years (N is an integer greater than or equal to 1)) required to reach the goal, as well as appropriate attributes and rewards.

[0038] On the other hand, the service shown in Figure 5 is for cases where there is no desired image (goal), and in such cases, the service presents recommendations based on the target person's attribute information. Specifically, in this service shown in Fig. 5, the server 1 acquires subject information in step S1 (the subject information must include the subject's attributes). Then, based on the acquired subject information, in step S2, a recommendation including a solution to a problem for improving a predetermined ability possessed by the subject is output. Therefore, in this service, a recommendation based on the subject's attribute information is presented to the subject. This service recommends what the ideal situation should be, as well as recommended initiatives (recommended initiatives include training, actions, books, useful information, work / job types, etc., as in Figure 4). In addition, this service recommends the period (N years (N is an integer value greater than or equal to 1)) required to reach the goal based on the recommended ideal state. This service also recommends appropriate attributes and appropriate compensation.

[0039] FIG. 6 is a diagram for explaining the types of electronic files and the units of recommendations to be output.

[0040] First, the types of electronic files will be explained. As shown in input information IJ in Figure 6, the types of electronic files include 1. documents (e.g., emails, contracts, minutes, etc.), 2. video, 3. audio, and 4. other electronic data (e.g., pictures, text, etc.). The data to be used shall be 1 or more N types from the above (N is an integer value). The organizational data used as input information IJ includes information about meetings and documents created by the organization. In addition to organizational data, data from multiple different individuals can also be used as input information IJ. The above-mentioned "document" refers to "a document: a set of records expressed in characters." The above-mentioned "sentence" refers to "a sentence: a series of sentences made up of multiple sentences."

[0041] Next, the unit of recommendation to be output will be described. As shown in output information OJ-1 in Figure 6, the units of recommendations that are output include: 1. Recommendations for individuals based on personal data, 2. Recommendations for individuals based on data for multiple individuals within the same organization, 3. Recommendations for individuals based on data for an organization (a collection of two or more N individuals (N is an integer)), 4. Recommendations for an organization based on data for an organization (a collection of two or more N individuals (N is an integer)), and 5. Recommendations for an organization based on data for multiple individuals within the same organization.

[0042] Next, the output of recommendations will be described. As shown in output information OJ-2 in Figure 7, the recommendation output includes 1. recommended activities, 2. period to reach the desired state, 3. desired state based on the individual's attributes, 4. suitable attributes, and 5. appropriate compensation. Regarding the above-mentioned 1. Recommended efforts, "the recommendations that are output are to reach a goal if one has been set, or if no goal has been set, the following efforts to reach the desired state in terms of skills, knowledge, mindset, etc. are derived," and examples of these include "training," "specific actions," "books," "useful information," and "specific tasks, affiliations, and job types." Regarding the above mentioned 2. period until the desired state is reached, it is stated that "it will be output if the desired state (goal) is included in the input information." Regarding the above-mentioned 3. desired state of the individual's attributes, it is stated that "it will be output if the desired state (goal) is not included in the input information." Regarding the above-mentioned 4. Suitable attributes, it is defined as "a job type in which the following attributes suitable for the individual can be derived from the assessment results."

[0043] Next, the processing logic (processing A, processing B) will be explained. As shown in the processing logic LOG of Figure 8, the processing related to "Process A: When the input information contains the desired appearance (goal)" includes processes A-1 to A-4, and process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. In addition, process A-3 extracts issues from the analysis results of process A-1 and the criteria calculated in process A-2. In addition, process A-4 outputs recommendations based on the assignment.

[0044] On the other hand, the process related to "Process B: When the desired form (goal) is not present in the input information" includes processes B-1 to B-4, and process B-1 analyzes the input electronic file. Furthermore, process B-2 calculates the required criteria from the analysis results of process B-1, the individual's personal attributes, and information held in the DB (database). Furthermore, process B-3 extracts issues from the criteria calculated in process B-2. In addition, process B-4 outputs recommendations based on the assignment.

[0045] Note that the above-described processes A-1 to A-4 and processes B-1 to B-4 correspond to processes A-1 to A-4 in cases 1 to 6 shown in FIG. 9 and subsequent figures.

[0046] A specific example will be given below for explanation. Case 1 (with goal) will be described with reference to FIGS. FIG. 9 is a diagram relating to Case 1 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. FIG. 10 is a diagram relating to Case 1 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. FIG. 11 is a diagram relating to Case 1 (with goal), and is a diagram for explaining process A-3 of the processing logic. FIG. 12 is a diagram relating to Case 1 (with goal), and is a diagram for explaining process A-4 of the processing logic.

[0047] As shown in Example C1-1 of Case 1 in Figure 9, Case 1 is an example of "recommendations to individuals (with goals) based on their personal data," specifically, "an example of outputting recommendations for electronic files created by individuals to help them reach their desired state (goal)." The attribute information to be input is "20s, male, sales position, second year with the company." The goal (desired state) is to be able to create emails to send to clients from scratch without review by superiors or seniors. The input document / video is an email (file) to be sent to a client to arrange a meeting date.

[0048] As shown in Example C1-2 of Case 1 in Figure 10, the processing logic is the logic for "Process A: When the input information has a desired form (goal)," and as described above, Process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. The above-mentioned criteria are as shown in the "Criteria Table" in Case Study 1 Explanation Example C1-2 (a criteria table like the one shown in the figure is created from the information held in the DB (database) and the input goals and personal attributes. The "criteria table" shows categories, items corresponding to each category, and the required criteria for each item). The required standards are set as standards that must be met for this attribute. Indicators that can be judged quantitatively will be judged based on actual results. Qualitative indicators that cannot be judged quantitatively will be judged using AI. The data used for the judgment will be stored in a database.

[0049] As shown in the explanatory example C1-3 of the case 1 in FIG. 11, the process A-3 extracts issues from the analysis results of the process A-1 and the criteria calculated in the process A-2. Through preprocessing, the issues shown in Case 1 Explanation Example C1-3 are extracted by category.

[0050] As shown in the explanatory example C1-4 of case 1 in FIG. 12, the process A-4 outputs a recommendation based on the assignment. Specifically, for 1. Recommended initiatives, the following recommendations are output: "Training: training on how to write emails, business writing, and business etiquette," "Specific action: printing out and checking the written text," "Books: books on business emails, business etiquette, business writing, and honorific language," "Useful information: keywords: 'business emails,' 'humble language,' 'communicative writing,' 'phrases,' 'how to communicate without misunderstandings,'" and "Specific tasks, affiliation, and job type: none in particular." In addition, regarding 2. the time it takes to reach the desired appearance, the recommendation will include "0.2 years" and be output. In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "4 million yen" is included in the recommendation and output.

[0051] Case 2 (no goal) will be described with reference to FIG. FIG. 13 is a diagram relating to Case 2 (no goal), and is a diagram for explaining attribute information to be input, text and video to be input, and processing logic.

[0052] As shown in Example C2-1 of Case 2 in Figure 13, Case 2 is an example of "recommendations to individuals based on their personal data (no goal)," specifically, "an example of outputting the desired state (goal) and recommendations for reaching that state for an electronic file created by an individual." The attribute information to be input is "20s, male, sales position, second year with the company." The input document / video is an email (file) to be sent to a client to arrange a meeting date.

[0053] The logic of the process is the same as that of "Process B: When the input information does not have the desired form (goal)," and as described above, process B-1 analyzes the input electronic file. Furthermore, process B-2 calculates the required criteria from the analysis results of process B-1, the individual's personal attributes, and information held in the DB (database). Although not shown here, the above-mentioned criteria are similar to the "criteria table" in Case 1 Explanation Example C1-2. Although not shown in the figure, process B-3 extracts issues based on the criteria calculated in process B-2. Issues are extracted by category through pre-processing (these are the same as the issues shown in case 1 explanatory example C1-3, so are not shown in the figure).

[0054] Although not shown, process B-4 outputs recommendations based on the issues. Specifically, for 1. Recommended initiatives, the following recommendations are output: "Training: training on how to write emails, business writing, and business etiquette," "Specific action: printing out and checking the written text," "Books: books on business emails, business etiquette, business writing, and honorific language," "Useful information: keywords: 'business emails,' 'humble language,' 'communicative writing,' 'phrases,' 'how to communicate without misunderstandings,'" and "Specific tasks, affiliation, and job type: none in particular." In addition, regarding 2. the ideal state of the individual's attributes, the "email text that clears the challenge" will be included in the recommendation and output. In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "4 million yen" is included in the recommendation and output.

[0055] In addition, in Case 2, the standard table is assumed to be similar in content to the standard table created in Case 1 (as a result, the attribute information and inputs are common between the two cases, and the goal in Case 1, "without review by superiors or seniors," is considered to be roughly synonymous with the ideal state for this attribute, resulting in similar content).

[0056] Case 3 (with goal) will be described with reference to FIGS. FIG. 14 is a diagram relating to Case 3 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. FIG. 15 is a diagram relating to Case 3 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. FIG. 16 is a diagram relating to Case 3 (with goal), and is a diagram for explaining process A-3 of the processing logic. FIG. 17 is a diagram relating to Case 3 (with goal), and is a diagram for explaining process A-4 (attribute 1, attribute 2) of the processing logic. FIG. 18 is a diagram relating to Case 3 (with goal), and is a diagram for explaining process A-4 (attribute 3) of the processing logic.

[0057] As shown in the explanatory example C3-1 of Case 3 in FIG. 14, Case 3 is a case in which recommendations are output to an individual based on electronic files created by multiple people belonging to the same organization. The attribute information to be input is "1. 20s, male, sales, second year with the company" (attribute 1), "2. 20s, female, sales, second year with the company" (attribute 2), and "3. 20s, female, sales, second year with the company" (attribute 3). The goal (desired outcome) is to "make appointments with new customers to introduce products to them." The input documents / videos are "audio recordings (3 files in total) of telemarketing calls for product introduction sales conducted with a list of new customers."

[0058] As shown in Example C3-2 of Case 3 in Figure 15, the processing logic is the logic for "Process A: When the input information has a desired form (goal)," and as described above, Process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. The above-mentioned standards are as shown in the "Standards Table" in Case 3 Explanation Example C3-2 (the "Standards Table" shows categories, items according to the category, and the required standards for each item).

[0059] As shown in the explanatory example C3-3 of the case 3 in FIG. 16, the process A-3 extracts issues from the analysis results of the process A-1 and the criteria calculated in the process A-2. Through preprocessing, the issues shown in Example C3-3 of Case 3 are extracted for each attribute and category.

[0060] As shown in the explanatory example C3-4 of case 3 in FIG. 17, the process A-4 outputs a recommendation based on the assignment. Specifically, with regard to attribute 1, the following recommendations are output for 1. Recommended initiatives: "Training: Training on the basics of sales calls and business talking," "Specific actions: Recording your own voice and reviewing it," "Books: Books on the basics of sales and business talking," "Useful information: Keywords 'telemarketing,' 'customer service techniques,' 'sales calls,' 'business talking,'" and "Specific tasks, affiliation, and job type: Facilitating internal meetings." In addition, regarding 2. the time it takes to reach the desired appearance, the recommendation will include "0.3 years" and be output. In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "4 million yen" is included in the recommendation and output.

[0061] Specifically, with regard to attribute 2, the following recommendations are output for 1. Recommended initiatives: "Training: Business talking, training on the basics of communication," "Specific actions: recording your own voice and reviewing it," "Books: Business talking, basics of communication, books on conversation frameworks," "Useful information: Keywords 'business talking,' 'understanding the other person,' 'conversation framework,'" and "Specific work, affiliation, job type: internal presentations." In addition, regarding 2. the time it takes to reach the desired state, the recommendation will include "0.5 years." In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "4 million yen" is included in the recommendation and output.

[0062] Furthermore, as shown in Example C3-5 of Case Study 3 in Figure 18, specifically, with regard to attribute 3, the following recommendations are output for 1. Recommended efforts: "Training: Training on the basics of sales calls, business talking", "Specific actions: Recording your own voice and reviewing it", "Books: Books on the basics of sales calls, business talking", "Useful information: Keywords 'telemarketing', 'customer service techniques', 'sales calls', 'business talking'", and "Specific work, affiliation, and occupation: Clerical position". In addition, regarding 2. the time it takes to reach the desired appearance, the recommendation will include "0.8 years" and be output. In addition, for attributes that are suitable, "clerical work" will be included in the recommendations. Also, for 4. Appropriate Reward, "4 million yen" is included in the recommendation and output.

[0063] Case 4 (with goal) will be described with reference to FIGS. FIG. 19 is a diagram relating to Case 4 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. FIG. 20 is a diagram relating to Case 4 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. FIG. 21 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-3 (attributes 1 to 3) of the processing logic. FIG. 22 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-3 (attribute 4, attribute 5) of the processing logic. FIG. 23 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-4 (attribute 1, attribute 2) of the processing logic. FIG. 24 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-4 (attribute 3, attribute 4) of the processing logic. FIG. 25 is a diagram relating to Case 4 (with goal), and is a diagram for explaining process A-4 (attribute 5) of the processing logic.

[0064] As shown in Example C4-1 of Case 4 in Figure 19, Case 4 is a case of "recommendations to individuals based on data from an organization (a collection of two or more N people (N is an integer value))," and more specifically, a case of "outputting recommendations to individuals belonging to an organization based on electronic files created by the organization." The attribute information to be input is "1. Male, in his 40s, sales position, 20 years since joining the company" (attribute 1), "2. Female, in his 30s, sales position, 15 years since joining the company" (attribute 2), "3. Male, in his 20s, sales position, 9 years since joining the company" (attribute 3), "4. Female, in his 30s, office work, 14 years since joining the company" (attribute 4), "5. Female, in his 20s, office work, 8 years since joining the company" (attribute 5). The goal (desired state) is to "reach a conclusion within the time limit at an internal meeting." The input document / video is a video (file) of an internal meeting.

[0065] As shown in Example C4-2 of Case 4 in Figure 20, the processing logic is the logic for "Process A: When the input information has a desired form (goal)," and as described above, Process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. The above-mentioned standards are as shown in the "Standards Table" in Case 4 Explanation Example C4-2 (the "Standards Table" shows categories, items according to the category, and the required standards for each item).

[0066] As shown in Example C4-3 of Case 4 in Figure 21 and Example C4-4 of Case 4 in Figure 22, Process A-3 extracts issues from the analysis results of Process A-1 and the criteria calculated in Process A-2. As a result of the preprocessing, the issues shown in Example C4-3 for Explanation of Case 4 are extracted for each attribute and category. Also, the issues shown in Example C4-4 for Explanation of Case 4 are extracted for each attribute and category.

[0067] As shown in the explanatory example C4-5 of Case 4 in FIG. 23, the process A-4 outputs a recommendation based on the assignment. Specifically, with regard to attribute 1, the following recommendations are output for 1. Recommended initiatives: "Training: Training on facilitation," "Specific actions: Review of 360-degree feedback," "Books: Books on facilitation," "Useful information: Keywords 'facilitation', 'how to conduct meetings,'" and "Specific work, affiliation, job type: Facilitation of internal meetings." In addition, regarding 2. the period required to reach the desired appearance, the recommendation will include "1 year." In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "7.8 million yen" is included in the recommendation and output.

[0068] Specifically, with regard to attribute 2, the following recommendations are output for 1. Recommended initiatives: "Training: Business talking, training on the basics of communication," "Specific actions: Organizing the content you want to communicate by fitting it into a framework," "Books: Business talking, basics of communication, books on conversation frameworks," "Useful information: Keywords 'business talking,' 'understanding the other person,' 'conversation frameworks,'" and "Specific work, affiliation, job type: internal presentations." In addition, regarding 2. the time it takes to reach the desired state, the recommendation will include "0.5 years." In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "6.8 million yen" is included in the recommendation and output.

[0069] Furthermore, as shown in Example C4-6 of Case 4 in Figure 24, specifically, with regard to attribute 3, the following recommendations are output for 1. Recommended initiatives: "Training: training on how to proceed with work, self-management", "Specific actions: reviewing recorded meetings", "Books: how to proceed with work, 10-year employee, books on business talking", "Useful information: keywords "business talking", "understanding the other person", "conversation framework", and "Specific work, affiliation, job type: internal presentation". In addition, regarding 2. the period required to reach the desired appearance, the recommendation will include "1 year." In addition, for attributes with aptitude, "technical jobs" will be included in the recommendations. Also, for 4. Appropriate Reward, "5.5 million yen" is included in the recommendation and output.

[0070] Specifically, with regard to attribute 4, the following recommendations are output for 1. Recommended initiatives: "Training: Training on self-management," "Specific actions: Reviewing recorded meetings," "Books: Books on work procedures, emotions, and emotional management," "Useful information: Keywords 'self-management', 'emotional management'," and "Specific tasks, affiliation, and job type: Internal presentations." In addition, regarding 2. the time it takes to reach the desired appearance, the recommendation will include "1.2 years" and be output. In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "6.2 million yen" is included in the recommendation and output.

[0071] Furthermore, as shown in Example C4-7 of Case 4 in Figure 25, specifically, with regard to attribute 5, the following recommendations are output for 1. Recommended initiatives: "Training: Training on how to proceed with work, self-management", "Specific actions: Reviewing recorded meetings", "Books: How to proceed with work, 10-year employee, books on self-management", "Useful information: Keywords 'self-management', 'emotional management'", and "Specific work, affiliation, job type: Internal presentation". In addition, regarding 2. the time it takes to reach the desired appearance, the recommendation will include "1.2 years" and be output. In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. Also, for 4. Appropriate Reward, "6.2 million yen" is included in the recommendation and output.

[0072] Case 5 (with goal) will be described with reference to FIGS. FIG. 26 is a diagram relating to Case 5 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. FIG. 27 is a diagram relating to Case 5 (with goal), and is a diagram for explaining Process A-1 and Process A-2 of the processing logic. FIG. 28 is a diagram relating to Case 5 (with goal), and is a diagram for explaining processes A-3 and A-4 of the processing logic.

[0073] As shown in Example C5-1 for Case 5 in Figure 26, Case 5 is a case of "recommendations to an organization based on data on the organization (a collection of two or more N people (N is an integer value))," and more specifically, a case of "outputting recommendations to an organization based on electronic files created by the organization." The attribute information (organization) to be input is manufacturing industry, number of employees 250, organizational chart, and company-wide policy for this fiscal year. The attribute information (individual) to be input is: "1. 40s, male, sales, 20 years since joining the company," "2. 30s, female, sales, 15 years since joining the company," "3. 20s, male, sales, 9 years since joining the company," "4. 30s, female, office worker, 14 years since joining the company," and "5. 20s, female, office worker, 8 years since joining the company." The goal (desired state) is to "reach a conclusion within the time limit at an internal meeting." The input document / video is a video (file) of an internal meeting.

[0074] As shown in Example C5-2 of Case 5 in Figure 27, the processing logic is the logic of "Process A: When the input information contains the desired form (goal)", and as described above, Process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. The above-mentioned standards are as shown in the "Standards Table" in Case 5 Explanation Example C5-2 (the "Standards Table" shows categories, items according to the category, and the required standards for each item).

[0075] As shown in the explanatory example C5-3 of case 5 in FIG. 28, the process A-3 extracts issues from the analysis results of the process A-1 and the criteria calculated in the process A-2. Through preprocessing, the issues shown in Case 5 Explanation Example C5-3 are extracted by category. As shown in Example C5-3 of Case 5, Process A-4 outputs recommendations based on the assignment. Specifically, for 1. Recommended initiatives, the following recommendations are output: "Training: Training on how to proceed with work, training on facilitation," "Specific actions: Setting and enforcing general rules for meetings, attending training on the same topic for the entire company," "Books: Books on facilitation," "Useful information: Keywords "facilitation," "how to proceed with meetings," and "Specific work, affiliation, and job type: None in particular." In addition, regarding 2. the time it takes to reach the desired state, the recommendation will include "2 years." In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. In addition, for 4. Appropriate Reward, "None in particular" will be included in the recommendation and output.

[0076] Case 6 (with goal) will be described with reference to FIGS. FIG. 29 is a diagram relating to Case 6 (with goal), and is a diagram for explaining attribute information to be input, a goal, and sentences and images to be input. FIG. 30 is a diagram relating to Case 6 (with goal), and is a diagram for explaining processing A-1 and processing A-2 of the processing logic. FIG. 31 is a diagram relating to Case 6 (with goal), and is a diagram for explaining processes A-3 and A-4 of the processing logic.

[0077] As shown in Example C6-1 for Case 6 in Figure 29, Case 6 is a case of "recommendations to an organization based on multiple personal data within the same organization," specifically, "a case of outputting recommendations to an organization based on electronic files created by multiple people belonging to the same organization." The attribute information (organization) to be input is manufacturing industry, number of employees 250, organizational chart, and company-wide policy for this fiscal year. The attribute information (individual) to be input is "1. 20s, male, sales, second year with the company," "2. 20s, female, sales, second year with the company," and "3. 20s, female, sales, second year with the company." The goal (desired outcome) is to "make appointments with new customers to introduce products to them." The input documents / videos are "audio recordings (3 files in total) of telemarketing calls for product introduction sales conducted with a list of new customers."

[0078] As shown in Example C6-2 of Case 6 in Figure 30, the processing logic is the logic for "Process A: When the input information has a desired form (goal)," and as described above, Process A-1 analyzes the input electronic file. In addition, process A-2 calculates the required criteria based on the information stored in the DB (database) and the person's desired image and personal attributes. The above-mentioned standards are as shown in the "Standards Table" in Case 6 Explanation Example C6-2 (the "Standards Table" shows categories, items according to the category, and the required standards for each item).

[0079] As shown in the explanatory example C6-3 of Case 6 in FIG. 31, the process A-3 extracts issues from the analysis results of the process A-1 and the criteria calculated in the process A-2. Through preprocessing, the issues shown in Case 6 Explanation Example C6-3 are extracted by category. As shown in Example C6-3 of Case 6, Process A-4 outputs recommendations based on the assignment. Specifically, for 1. Recommended initiatives, the following are output as recommendations: "Training: Training on the basics of sales calls and business talking," "Specific actions: Record your own voice and review it," "Books: Books on the basics of sales and business talking," "Useful information: Keywords: 'telemarketing,' 'customer service techniques,' 'sales calls,' 'business talking,'" and "Specific tasks, affiliation, and job type: Participate in internal projects." In addition, regarding 2. the period required to reach the desired appearance, the recommendation will include "1 year." In addition, for attributes that are suitable, 3. "None in particular" will be included in the recommendation and output. In addition, for 4. Appropriate Reward, "None in particular" will be included in the recommendation and output.

[0080] As can be seen from Cases 1 to 6, this service can output recommended actions (recommendations) including solutions from documents created by the subject himself, video footage of the subject's behavior (i.e., his own behavior), electronic audio files, etc. In other words, a recommendation including a solution can be output from the subject's copyrighted work (documents, writings, pictures, etc.) and image or audio data captured or recorded of the subject.

[0081] With this service, if the subject (the person, the user) sets the desired image (goal), recommendations for reaching that goal will be output; if no goal is set, recommendations will be derived based on the subject's attribute information and output. This service uses data such as electronic files that are not visualized or quantified, such as documents and videos, to extract issues that can be addressed to improve an individual's skills, and outputs recommendations for solving those issues. This service allows input data to be used not only on an individual level, but also on organizational data (email exchanges, video footage of meetings, etc.), making it possible to present recommendations to both individuals and organizations. This service can output recommendations that include highly suitable attributes and appropriate rewards based on the results of judgments made based on the condition of electronic files such as documents and videos. With this service, recommendations can be made not only about improving skills, but also from the perspective of the knowledge that individuals and organizations should have and the mindset they should have.

[0082] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are included in the present invention.

[0083] For example, the system configuration shown in FIG. 1 and the hardware configuration of the server 1 shown in FIG. 2 are merely examples for achieving the object of the present invention, and are not particularly limited.

[0084] Furthermore, the functional block diagram shown in Fig. 3 is merely an example and is not particularly limited. That is, it is sufficient if the information processing system in Fig. 1 is provided with functions that can execute the various processes described above as a whole, and the functional blocks and databases used to realize these functions are not particularly limited to the example in Fig. 3.

[0085] Furthermore, the locations of the functional blocks and databases are not limited to those shown in FIG. 3 and may be arbitrary. For example, at least some of the functional blocks and databases arranged on the server 1 side may be provided on the subject terminal 2 side, the organization terminal 3 side, or another information processing device (not shown).

[0086] The above-described series of processes can be executed by hardware or software. Furthermore, one functional block may be configured as a single piece of hardware, a single piece of software, or a combination thereof.

[0087] When a series of processes is executed by software, the programs that make up the software are installed into a computer or the like from a network or a recording medium. The computer may be a computer built on dedicated hardware. The computer may also be a computer that can execute various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0088] The recording medium containing such a program may be composed of not only a removable medium (not shown) that is distributed separately from the device main body in order to provide the program to the user, but also a recording medium that is provided to the user in a state that it is pre-installed in the device main body.

[0089] In this specification, the steps describing the program to be recorded on the recording medium include not only processes that are performed chronologically in accordance with the order, but also processes that are not necessarily performed chronologically but are performed in parallel or individually.

[0090] To sum up, the information processing system to which the present invention is applied is sufficient as long as it has the following configuration, and can take on a variety of different embodiments. That is, an information processing device to which the present invention is applied (for example, the server 1 shown in FIGS. 1 to 3) a target person information acquisition means (e.g., target person information acquisition unit 51 in FIG. 3) for acquiring, as target person information, information including at least one of a copyrighted work (document, text, picture, etc.) of a target person (e.g., an employee of a company) and image or audio data of a captured or recorded image of the target person (e.g., in case 1 in FIG. 9, an email message (file) to be sent to a business partner to arrange a meeting date); A recommendation means (for example, the recommendation unit 52 in FIG. 3) that outputs recommendations including solutions to problems for improving the predetermined abilities possessed by the subject based on the subject information (for example, in case 1 in FIG. 12, the recommendation means outputs recommended efforts, the period until the desired state is reached, the desired state in terms of the subject's attributes, attributes for which the subject is suitable, and appropriate compensation); It is enough to have this.

[0091] This makes it possible to extract issues that can be addressed to improve an individual's skills and output recommendations for solving those issues.

[0092] The recommendation means outputs the recommendation including the recommended initiative (for example, output of the recommendation in Case 1 of FIG. 12 ), It is possible.

[0093] Furthermore, when a goal is set by the subject, the recommendation means outputs the recommendation including the recommended effort to reach the goal (for example, output of a recommendation including a recommended effort in Case 1 of FIG. 12 ); It is possible.

[0094] The recommendation means further outputs the recommendation by including in it an expected period of time until the goal is reached (for example, outputting a recommendation including a period of time until the desired appearance is reached in Case 1 of FIG. 12 ). It is possible.

[0095] In addition, the subject information acquisition means further acquires attributes of the subject as part of the subject information (for example, attribute information to be input in Case 2 of FIG. 13 ), When no goal is set (for example, no goal in Case 2 of FIG. 13), the recommendation means outputs the recommendation including the recommended efforts to reach the desired state in the attribute (for example, Case 2 of FIG. 13 outputs the desired state (goal) and recommendations to reach it), It is possible.

[0096] The recommendation means further outputs the recommendation by including in it the ideal state of the subject in terms of the attributes (for example, in case 2 of FIG. 13, although not shown, the recommendation is output by including in it an "email message that clears the problem" regarding the ideal state of the subject in terms of the attributes of the subject). It is possible.

[0097] The recommendation means further includes attributes that are suitable for the subject in the recommendation and outputs the recommendation (for example, output of a recommendation including suitable attributes in Case 1 of FIG. 12 ). It is possible.

[0098] The recommendation means further includes the appropriate remuneration for the subject in the recommendation and outputs it (for example, outputting a recommendation including the appropriate remuneration in Case 1 of FIG. 12 ); It is possible. [Explanation of symbols]

[0099] 1 Server, 2 Subject terminal, 3 Organization terminal, 11 CPU, 12 ROM, 13 RAM, 14 Bus, 15 Input / output interface, 16 Input section, 17 Output section, 18 Storage section, 19 Communication section, 20 Drive, 30 Removable media, 51 Subject information acquisition section, 52 Recommendation section, 81 Subject information DB, 82 Recommendation information DB

Claims

1. a subject information acquisition means for acquiring, as subject information, information including at least one of the subject's copyrighted work and image or audio data of the subject; a recommendation means for outputting a recommendation including a solution to a problem for improving a predetermined ability possessed by the subject based on the subject information; An information processing device comprising:

2. The recommendation means outputs the recommendation including a recommended initiative. The information processing device according to claim 1 .

3. When a goal is set by the subject, the recommendation means outputs the recommendation including the recommended effort to reach the goal. The information processing device according to claim 2 .

4. The recommendation means further outputs the recommendation together with an expected period of time required to reach the goal. The information processing device according to claim 3 .

5. The subject information acquisition means further acquires attributes of the subject as part of the subject information, When a goal is not set, the recommendation means outputs the recommendation including the recommended efforts for achieving the desired state in the attribute. The information processing device according to claim 2 .

6. The recommendation means further outputs the recommendation by including an ideal state of the subject in the attribute. The information processing device according to claim 5 .

7. The recommendation means further outputs the recommendation by including attributes suitable for the subject in the recommendation. The information processing device according to claim 1 .

8. The recommendation means further outputs the recommendation by including an appropriate remuneration for the subject. The information processing device according to claim 1 .

9. The information processing method executed by the information processing device includes: a subject information acquisition step of acquiring, as subject information, information including at least one of the subject's copyrighted work and image or audio data of the subject; a recommendation step of outputting a recommendation including a solution to a problem for improving a predetermined ability possessed by the subject based on the subject information; An information processing method including:

10. On the computer, a subject information acquisition step of acquiring, as subject information, information including at least one of the subject's copyrighted work and image or audio data of the subject; a recommendation step of outputting a recommendation including a solution to a problem for improving a predetermined ability possessed by the subject based on the subject information; A program that executes control processing including:

Images