Program, method, information processing device and system

Abstract

To provide a program of providing measures for improving customer experience relating to human resource recruitment.SOLUTION: A program is for causing a computer including a processor and a memory to execute processing. The program causes the processor of the computer to execute the steps of: capturing a video of content of an interview conducted by a prescribed business operator; storing the captured video; and disclosing the captured video available for browsing by one or a plurality of business operators.SELECTED DRAWING: Figure 10

Description

[Technical field]

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

[0002] 2. Description of the Related Art Hiring support devices have been proposed to reduce the burden on job seekers of having to attend multiple company interviews or arrange opportunities to meet with company personnel.

[0003] The following JP 2020-086971 A (Patent Document 1) describes a recruitment support device of a recruitment support system. The recruitment support device of the recruitment support system is disclosed to have, as its functions, an authentication unit, a schedule information receiving unit that receives the date and time for distributing a video of the job seeker's presentation, a schedule information providing unit that provides schedule information, a video distributing a video of the job seeker's presentation, a recruitment information receiving unit that receives recruitment information and recruitment condition information from companies, a negotiation right acquisition notification unit that selects a company that will acquire the right to negotiate with the job seeker from the companies that have accepted the recruitment information, a COM means providing unit that provides a means of communication between the job seeker and the company that has acquired the right to negotiate with the job seeker, and a billing information generating unit. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-086971 A Summary of the Invention [Problem to be solved by the invention]

[0005] In Patent Document 1, the job seeker himself / herself needs to shoot the video. Therefore, the burden on the job seeker himself / herself is not small. In addition, Patent Document 1 leaves room for consideration of effective use of videos related to job seekers. When it comes to recruiting, reducing the burden on job seekers themselves and effectively using job seeker videos are important when considering measures to improve the customer experience in recruiting.

[0006] The purpose of this disclosure is to provide measures to improve the customer experience related to recruitment. [Means for solving the problem]

[0007] One embodiment of the present disclosure is a program for causing a computer having a processor and a memory to execute the following steps: recording a video of an interview conducted by a specific business, storing the recorded video, and publishing the recorded video so that it can be viewed by one or more businesses. Effect of the Invention

[0008] The present disclosure can provide measures to improve customer experience regarding recruitment. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing an example of the overall configuration of an interview video system 1. [Diagram 2] FIG. 2 is a block diagram showing the functional configuration of first device 10. As shown in FIG. [Diagram 3] FIG. 3 is a block diagram showing the functional configuration of the second device 30. As shown in FIG. [Figure 4] FIG. 4 is a block diagram showing the functional configuration of the server 20 for the interview video service. [Diagram 5] FIG. 5 is a diagram showing the data structure of the database 2021 of captured videos. [Figure 6] FIG. 6 is a diagram showing the data structure of the interviewer database 2022. [Figure 7] FIG. 7 is a diagram showing the data structure of the business operator database 2023. As shown in FIG. [Figure 8] FIG. 8 is a diagram showing the data structure of the chapter database 2024. [Figure 9] FIG. 9 is a diagram showing the data structure of the evaluation database 2025. As shown in FIG. [Figure 10] FIG. 10 is a diagram showing a process flow regarding the publication of a captured video. [Figure 11] FIG. 11 is a diagram showing a process flow for associating a captured video with transcribed information of spoken content in the video. [Figure 12] FIG. 12 is a diagram showing the flow of processing related to chapters. [Figure 13] FIG. 13 is a diagram showing the flow of processing related to the motivation chapter. [Figure 14] FIG. 14 is a diagram showing a process flow relating to a search. [Figure 15] FIG. 15 is a diagram showing a process flow relating to the disclosure of captured moving images. [Figure 16] FIG. 16 is a diagram showing a process flow relating to evaluation. [Figure 17] FIG. 17 is a diagram showing a process flow regarding the disclosure of evaluations. [Figure 18] FIG. 18 is a diagram showing a process flow regarding disclosure of information. [Figure 19] FIG. 19 is a diagram showing a screen on which a captured video is presented. [Figure 20] FIG. 20 shows a screen presenting information about the interviewer. [Figure 21] FIG. 21 shows a screen that presents information about the chapters of a captured video. [Figure 22] FIG. 22 shows a screen that presents various information related to the captured video. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] The following describes an embodiment of the present disclosure. The embodiment of the present disclosure will be described with reference to the drawings. In addition, in the description of the embodiment of the present disclosure, the same components are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions thereof will not be repeated.

[0011] <Overview of the First Embodiment> The interview video system 1 according to an embodiment of the present disclosure provides services related to recruitment. Specifically, the services related to recruitment are services related to employment, job change, etc. In this embodiment, the interview video system 1 provides a platform that connects job seekers and businesses. In this embodiment, the business operator refers to, for example, a person who runs a business and employs workers. In addition, in this embodiment, the business operator refers to, for example, a company that is recruiting, a qualification education institution, a training institution, a staffing agency, a recruitment agency, or at least any combination of these. The interview video system 1 provides, for example, the following functions. The following are examples and are not limited to these. Providing information about job seekers to businesses Providing information about businesses to job seekers - Revealing videos of job seekers to businesses Editing videos taken by job seekers Divide the job seeker's video into chapters according to specific conditions and make each chapter available to businesses. - Deleting certain information from the videos of job seekers - Ability to narrow down search results by specific criteria among many job seekers - It is possible to accept the operation to select subjects whose recorded videos will not be disclosed - To provide an effective matching system for both job seekers and businesses -Provide a smooth recruitment process for both job seekers and employers Accepting evaluations of job seekers from businesses Disclosure of some information about job applicants if certain conditions are met Disclosure of some information about a business operator if certain conditions are met. If a business wants to hire a job seeker, it must present the job seeker with the employment conditions. If the business is a qualification education institution, it may propose educational content to job seekers. If the business is a staffing agency, it will propose placement destinations. - Proposing to release the footage after a certain period of time has passed since the footage was shot - It is okay to publish videos for purposes other than job hunting.

[0012] <1.1 Overall system configuration> Fig. 1 is a block diagram showing an example of the overall configuration of an interview video system 1 of this embodiment. As shown in Fig. 1, the interview video system 1 includes a first device 10, an interview video service server 20, a second device 30, and a camera 70. These devices are connected to each other via a network 80 so as to be able to communicate with each other.

[0013] The example in FIG. 1 shows a first device 10. The first device 10 is a terminal device of a job seeker who uses the interview video system 1. In this embodiment, the job seeker is, for example, a person who is looking for a job. In this embodiment, the job seeker may hereinafter be referred to as a first user or an interviewer. The first device 10 is realized by, for example, a PC, a smartphone, a tablet, or the like.

[0014] The first device 10 accesses the server 20 of the interview video service in response to, for example, an input from the first user. The first device 10 requests, for example, predetermined information from the server 20 of the interview video service, and accepts a response from the server 20 of the interview video service. The first device 10 generates text, images, videos, etc. based on the information received from the server 20 of the interview video service, and displays the generated text, images, videos, etc.

[0015] The first device 10 executes a program to provide the first user with an environment for operating the interview video system 1. The first device 10 reads and executes the program to communicatively connect the first device 10 to the server 20 of the interview video service. The first device 10 then transmits and receives data related to the interview video system 1 between the first device 10 and the server 20 of the interview video service.

[0016] The first device 10 includes a communication IF (Interface) 12 , an input device 13 , an output device 14 , a memory 15 , a storage unit 16 , and a processor 19 .

[0017] The communication IF 12 is an interface for inputting and outputting signals so that the first device 10 can communicate with an external device.

[0018] The input device 13 is a device for accepting an input operation from the first device 10. The device for accepting an input operation includes, for example, a touch panel, a touch pad, a pointing device such as a mouse, a keyboard, and the like.

[0019] The output device 14 is a device (such as a display, a speaker, etc.) for presenting information to the first device 10.

[0020] The memory 15 is for temporarily storing programs, data to be processed by the programs, etc. The memory 15 is, for example, a volatile memory such as a DRAM (Dynamic Random Access Memory).

[0021] The storage unit 16 is for storing data and includes, for example, a flash memory, a HDD (Hard Disk Drive), and the like.

[0022] The processor 19 is hardware for executing an instruction set written in a program, and is composed of an arithmetic unit, a register, peripheral circuits, and the like.

[0023] The example of FIG. 1 shows a server 20 of an interview video service. The server 20 of the interview video service is a device that manages information related to the interview video system 1. The server 20 of the interview video service may hereinafter be abbreviated to server 20. For example, the server 20 manages information on interviewers, business operators, information on filmed videos, and other various information related to the interview video system 1. The server 20 appropriately transmits data necessary for using the interview video service to the first device 10, thereby visualizing the status of the interview video service on the first device 10. In addition, the server 20 communicates with the first device 10 and transmits images, files, text data, and the like to the first device 10 in response to the operation of the first user.

[0024] The server 20 includes a communication IF 22 , an input / output IF 23 , a memory 25 , a storage 26 , and a processor 29 .

[0025] The communication IF 22 is an interface for inputting and outputting signals so that the server 20 can communicate with external devices.

[0026] The input / output IF 23 functions as an input device for receiving input operations from the first device 10 and the second device 30. The input / output IF 23 also functions as an interface with an output device for presenting information to the first device 10 and the second device 30.

[0027] The memory 25 is for temporarily storing programs, data to be processed by the programs, etc. The memory 25 is, for example, a volatile memory such as a DRAM (Dynamic Random Access Memory).

[0028] The storage 26 is for storing data and includes, for example, a flash memory, a hard disk drive (HDD), and the like.

[0029] The processor 29 is hardware for executing an instruction set written in a program, and is composed of an arithmetic unit, a register, peripheral circuits, and the like.

[0030] The example in Fig. 1 shows a second device 30. The second device 30 is, for example, a terminal device that uses the interview video system 1 and is used by a business operator. In this embodiment, hereinafter, the business entity may be referred to as a second user. In this embodiment, the business entity is a recruiting company, a qualification education institution, a training institution, a staffing agency, a recruitment agency, or a combination of at least any of these. The second device 30 is realized by, for example, a PC, a smartphone, a tablet, or the like.

[0031] The second device 30 accesses the server 20 of the interview video service in response to, for example, an input from the second user. The second device 30 requests, for example, predetermined information from the server 20 of the interview video service, and accepts a response from the server 20 of the interview video service. The second device 30 generates text, images, videos, etc. based on the information received from the server 20 of the interview video service, and displays the generated text, images, videos, etc.

[0032] The second device 30 executes a program to provide the second user with an environment for operating the interview video system 1. The second device 30 reads and executes the program to communicatively connect the second device 30 with the server 20 of the interview video service. The second device 30 then transmits and receives data related to the interview video system 1 between the second device 30 and the server 20 of the interview video service.

[0033] The second device 30 is assumed to be a device that accepts an input operation from a second user.

[0034] The second device 30 includes a communication IF 32 , an input device 33 , an output device 34 , a memory 35 , a storage unit 36 ​​, and a processor 39 .

[0035] The communication IF 32 is an interface for inputting and outputting signals so that the second device 30 can communicate with an external device.

[0036] The input device 33 is a device for receiving an input operation from a second user. The device for receiving an input operation is, for example, a touch panel, a touch pad, a pointing device such as a mouse, or a keyboard.

[0037] The output device 34 is a device (such as a display or a speaker) for presenting information to the second user.

[0038] The memory 35 is for temporarily storing programs, data to be processed by the programs, etc. The memory 35 is, for example, a volatile memory such as a DRAM (Dynamic Random Access Memory).

[0039] The storage unit 36 ​​is for storing data and is, for example, a flash memory or a hard disk drive (HDD).

[0040] The processor 39 is hardware for executing an instruction set written in a program, and is composed of an arithmetic unit, a register, peripheral circuits, and the like.

[0041] The server 20 transmits data necessary for using the interview video service to the second device 30 as appropriate, thereby visualizing the status of the interview video service on the second device 30. The server 20 also communicates with the second device 30, and transmits images, files, text data, and the like to the second device 30 in response to the operations of each user.

[0042] The example in FIG. 1 shows a camera 70. The camera 70 is a camera that records video of the contents of an interview with a job seeker. Specifically, the camera 70 is realized by a camera itself, a camera built into a PC, a camera built into a smartphone, or the like. How the camera 70 is used will be described later with reference to FIG. 10.

[0043] <1.2 Functional configuration of the first device 10> 2 is a diagram showing a functional configuration of the first device 10. The first device 10 includes an antenna 111, a first wireless communication unit 121, a processor 19, an operation reception unit 130, a storage unit 16, a memory 15, a display 132, an audio processing unit 140, a microphone 141, and a speaker 142.

[0044] Antenna 111 radiates the signal emitted by first device 10 into space as a radio wave. Antenna 111 also receives the radio wave from space and provides the received signal to first wireless communication unit 121.

[0045] The first wireless communication unit 121 performs modulation / demodulation processing and the like for transmitting and receiving signals via an antenna or the like so that the first device 10 can communicate with other communication devices. The first wireless communication unit 121 is a communication module for wireless communication including a tuner, a high-frequency circuit, and the like, and performs modulation / demodulation and frequency conversion of wireless signals transmitted and received by the first device 10, and provides the received signals to the processor 19.

[0046] The processor 19 controls the operation of the first device 10 by reading and executing a program stored in the storage unit 16. The processor 19 is realized by, for example, an application processor.

[0047] The operation reception unit 130 has a mechanism for receiving an input operation from the first user. The operation reception unit 130 is realized as a pointing device such as a mouse, a touch pad, or a touch panel, a keyboard, a controller, a photographing means for sensing the body movement of the first user as an input operation, or the like. For example, the operation reception unit 130 senses the movement of a body part such as a hand, the facial expression of the first user, or the like as the body movement of the first user, and receives the movement of these body parts, or the like, as an input operation. The operation reception unit 130 determines the type of operation, such as whether the operation of the first user is a flick operation, a tap operation, or a drag operation, based on the coordinates at which the input operation is received by the first user touching a finger to a touch panel or the like.

[0048] The storage unit 16 is configured with a flash memory, a RAM (Random Access Memory), etc., and stores programs used by the first device 10, various data received by the first device 10 from the server 20, and the like.

[0049] The display 132 displays data such as images, videos, and text under the control of the processor 19. The display 132 is realized by a display device such as an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence).

[0050] The audio processing unit 140 modulates and demodulates an audio signal. The audio processing unit 140 modulates a signal provided from a microphone 141, and provides the modulated signal to the processor 19. The audio processing unit 140 also provides the audio signal to a speaker 142.

[0051] The microphone 141 receives a voice input and provides the voice processor 140 with a voice signal corresponding to the voice input.

[0052] The speaker 142 converts the audio signal provided from the audio processor 140 into audio, and outputs the audio to the outside of the first device 10.

[0053] The storage unit 16 stores the shot video information 161. It is to be noted that the storage unit 16 does not necessarily have to store the shot video information 161.

[0054] The filmed video information 161 is for holding information related to the filmed video in the interview video system 1. The filmed video information 161 includes, for example, an item "filmed video ID", an item "title", an item "video length", an item "upload date and time", an item "subject not to be disclosed", and an item "interviewer ID". The item “filmed video ID” is a unique ID for each filmed video that is required when managing each filmed video issued by the server 20 in the interview video system 1. The item "title" indicates information on the title of the shot video. The server 20 manages the shot video by giving it a title to indicate what kind of shot video it is. The first user can easily manage the shot videos by giving a title to each shot video. The title of the shot video may be automatically named by the server 20 when the shot video is uploaded to the server 20. The item "title" is, for example, Taro Tanaka_20230909_shot video, Kaori Yamada_○○ Co., Ltd._shot video_20240206, etc. The "title" is not limited to these examples. The item "video duration" indicates information that indicates the length of a shot video. The item "video duration" is used to indicate how many minutes and seconds a video is. The item "video duration" is useful information for viewers to understand the length of content and make selections. For example, the item "video duration" indicates a shot video that is 10 minutes and 30 seconds long as "10:30". The item “upload date and time” indicates information about the date and time when the captured video was uploaded to the server 20. The item "Target not to be disclosed" indicates a target for which the captured video is not to be disclosed. The first device 10 can accept an operation of selecting a target for which the captured video is not to be disclosed from the first user. In response to accepting the operation of selecting a target for which the video is not to be disclosed, the server 20 stores the information in the item "Target not to be disclosed" of the captured video database 2021. The target of non-disclosure can be selected by the first user on an industry basis, a company basis, a department basis, a person basis, or a job type basis. When considering the data structure, items that are not to be disclosed may be managed by creating a separate table as a database for access restrictions. The item “Interviewer ID” indicates a unique ID for a user that is required when managing interviewers in the interview video system 1. The item "Interviewer ID" can have various formats. For example, it can be a combination of character strings, a combination of numbers and character strings, etc. It is important that the interviewer ID is unique within the system, and it is designed to prevent duplication. In the item "Interviewer ID," for example, in the interview video system 1, when issuing an account to a job seeker who will be a user of the interview video system 1, the first device 10 accepts an input for registration of an email address from the interviewer who will be a user of the interview video system 1. The server 20 of the interview video service issues an interviewer ID in response to accepting the input for registration of an email address.

[0055] The processor 19 operates according to a program to thereby fulfill the functions of an input operation reception unit 191, a transmission / reception unit 192, a data processing unit 193, and a notification control unit 194. The input operation reception unit 191 performs a process of receiving an input operation of a first user to an input device such as an operation reception unit. When the operation reception unit 130 is, for example, a touch device, the input operation reception unit 191 determines the type of operation, such as whether the operation of the first user is a flick operation or a drag operation, based on information on the coordinates where the first user touches the touch device with a finger or the like. The transmission / reception unit 192 performs processing for the first device 10 to transmit and receive data to and from an external device such as the server 20 in accordance with a communication protocol. Data processing unit 193 performs a process of performing calculations on data that first device 10 accepts as input in accordance with a program, and outputs the calculation results to a memory or the like. The notification control unit 194 performs processing for presenting information to the first user, such as processing for displaying a display image on the display 132, processing for outputting sound to the speaker 142, processing for generating vibrations from a vibrator or the like.

[0056] <1.3 Functional configuration of the second device 30> 3 is a diagram showing a functional configuration of the second device 30. The second device 30 includes an antenna 311, a first wireless communication unit 321, a processor 39, an operation reception unit 330, a storage unit 36, a memory 35, a display 332, an audio processing unit 340, a microphone 341, and a speaker 342.

[0057] The second device 30 has the same functional configuration as the first device 10. Therefore, a description of the functional configuration of the second device 30 will be omitted.

[0058] <1.4 Functional configuration of server 20> Fig. 4 is a diagram showing a functional configuration of the server 20. As shown in Fig. 4, the server 20 fulfills the functions of a communication unit 201, a storage unit 202, and a control unit 203.

[0059] The communication unit 201 performs processing for the server 20 to communicate with external devices.

[0060] The storage unit 202 stores various databases such as a database 2021 of filmed videos, a database 2022 of interviewers, a database 2023 of businesses, a database 2024 of chapters, and a database 2025 of evaluations.

[0061] The photographed video database 2021 is a database for managing information about the photographed videos in the interview video system 1. Details of the photographed video database 2021 will be described later.

[0062] The interviewer database 2022 is a database for managing information on interviewers in the interview video system 1. The interviewer database 2022 will be described in detail later.

[0063] The business database 2023 is a database for managing information about businesses in the interview video system 1. The business database 2023 will be described in detail later.

[0064] The chapter database 2024 is a database for managing information on chapters of videos shot in the interview video system 1. The chapter database 2024 will be described in detail later.

[0065] The evaluation database 2025 is a database for managing information on evaluations in the interview video system 1. The evaluation database 2025 will be described in detail later.

[0066] The control unit 203 is realized by the processor 29 reading a program stored in the storage unit 202 and executing instructions included in the program. The control unit 203 performs functions shown as a reception control module 2031, a transmission control module 2032, a management module 2033, and a video processing module 2034 by operating in accordance with the program.

[0067] The reception control module 2031 controls the process in which the server 20 receives a signal from an external device in accordance with a communication protocol.

[0068] The transmission control module 2032 controls the process in which the server 20 transmits signals to external devices in accordance with a communication protocol.

[0069] The management module 2033 manages tables stored in the storage unit 202. Specifically, for example, the management module 2033 updates the photographed video database 2021 in response to an operation related to uploading a video. The interviewer database 2022 updates the interviewer database 2022 in response to an operation of accepting information about the interviewer from the interviewer. The business database 2023 updates the business database 2023 in response to an operation of accepting information about the business from the business. The chapter database 2024 updates the chapter database 2024 in response to a process of dividing the photographed video into chapters. The evaluation database 2025 updates the evaluation database 2025 in response to an operation of inputting an evaluation of the first user from the second user.

[0070] The video processing module 2034 controls processing related to captured video. The video processing module 2034 provides, for example, the following functions. The following are examples and are not limited to these. Editing the video footage Editing the video footage - To process the video into chapters - Processing the audio of the recorded video - Adding transcriptions of what is said in the video to the video - Search for video footage - Publishing the footage - Controlling access to recorded videos

[0071] <2 Data Structure> Figures 5, 6, 7, 8, and 9 are diagrams showing data structures of databases stored in the server 20. Note that Figures 5, 6, 7, 8, and 9 are merely examples, and do not exclude data that is not listed.

[0072] Fig. 5 is a diagram showing the data structure of the filmed video database 2021. The filmed video database 2021 is a database for managing information of filmed videos in the interview video system 1. Each record in the filmed video database 2021 in Fig. 5 includes an item "filmed video ID", an item "title", an item "video length", an item "upload date and time", an item "subject not to be disclosed", and an item "interviewer ID".

[0073] The item “filmed video ID” is a unique ID for each filmed video that is required when managing each filmed video issued by the server 20 in the interview video system 1.

[0074] The item "title" indicates information on the title of the shot video. The server 20 manages the shot video by giving it a title to indicate what kind of shot video it is. The first user can easily manage the shot videos by giving a title to each shot video. The title of the shot video may be automatically named by the server 20 when the shot video is uploaded to the server 20. The item "title" is, for example, Taro Tanaka_20230909_shot video, Kaori Yamada_○○ Co., Ltd._shot video_20240206, etc. The "title" is not limited to these examples.

[0075] The item "video duration" indicates information that indicates the length of a shot video. The item "video duration" is used to indicate how many minutes and seconds a video is. The item "video duration" is useful information for viewers to understand the length of content and make selections. For example, the item "video duration" indicates a shot video that is 10 minutes and 30 seconds long as "10:30".

[0076] The item “upload date and time” indicates information about the date and time when the captured video was uploaded to the server 20.

[0077] The item "Target not to be disclosed" indicates a target for which the captured video is not to be disclosed. The first device 10 can accept an operation of selecting a target for which the captured video is not to be disclosed from the first user. In response to accepting the operation of selecting a target for which the video is not to be disclosed, the server 20 stores the information in the item "Target not to be disclosed" of the captured video database 2021. The target of non-disclosure can be selected by the first user on an industry basis, a company basis, a department basis, a person basis, or a job type basis. When considering the data structure, items that are not to be disclosed may be managed by creating a separate table as a database for access restrictions.

[0078] The item “Interviewer ID” indicates a unique ID for a user that is required when managing interviewers in the interview video system 1. The item "Interviewer ID" can have various formats. For example, it can be a combination of character strings, a combination of numbers and character strings, etc. It is important that the interviewer ID is unique within the system, and it is designed to prevent duplication. In the item "Interviewer ID," for example, in the interview video system 1, when issuing an account to a job seeker who will be a user of the interview video system 1, the first device 10 accepts an input for registration of an email address from the interviewer who will be a user of the interview video system 1. The server 20 of the interview video service issues an interviewer ID in response to accepting the input for registration of an email address.

[0079] 6 is a diagram showing the data structure of the interviewer database 2022. The interviewer database 2022 is a database for managing information about interviewers in the interview video system 1. Each record in the interviewer database 2022 includes an item "interviewer ID", an item "name", an item "address", an item "email address", an item "date of birth", an item "educational background", an item "work history", an item "skills", and an item "resume file".

[0080] The interview video system 1 assumes the following examples of evaluation perspectives for interviewers. The following are examples, and are not limited to these. (Evaluation criteria) · Thinking skills: logical thinking, creativity, problem-solving skills Knowledge: education, specialized knowledge, language skills · Proactiveness: Project promotion experience, management experience ·Communication skills: logical thinking and expression Human power: Character, stress resistance, drive, and ability to involve others Among the evaluation aspects, for example, communication ability and human ability may be read from the filmed video. For example, information about the interviewer's character can be largely understood from the filmed video by the person's facial expression, speaking style, etc. Among the evaluation aspects, thinking ability, knowledge, and action ability can be estimated from the interviewer's educational background, work history, skills, and resume information. In addition to the filmed video, the interview video system 1 according to the present embodiment obtains information on each item of the interviewer database 2022 from the interviewer as information on the interviewer, and associates the video with this information. This makes it possible to provide information that can be used to evaluate the recruiter to the business operator.

[0081] The item "Interviewer ID" is as explained above.

[0082] The item "Name" indicates information about the name of the interviewer.

[0083] The item "Address" indicates information about the address of the interviewer.

[0084] The item "email address" indicates information about the interviewer's email address.

[0085] The item "Date of Birth" indicates information about the interviewer's date of birth.

[0086] The item "educational background" indicates information about the educational background of the interviewer. Specifically, the item "educational background" includes the following information. The following are examples, and are not limited to these. School name: Name of the school or educational institution attended. Includes elementary school, middle school, high school, university, graduate school, etc. ·Major, Department: Show the major and department you studied. Major and department information is important for showing that you have specialized skills and knowledge. Degree: Indicates the degree obtained. This may include bachelor's degree, master's degree, doctorate, etc. ·Date of attendance: Indicates the period during which you were enrolled in school. Academic achievement: Indicates the academic achievement at the school attended. The information in the "Educational Background" section can be an important factor when searching for a job. The information in the "Educational Background" section can also be used as a criterion to determine suitability for a particular job or position.

[0087] The item "Work History" indicates information about the work experience of the interviewer. Specifically, the item "Work History" includes the following information. The following are examples, and are not limited to these. ·Company name: Enter the name of the company or organization you worked for. · Job type: Indicate the type of job you worked in. Job type is important information for conveying the content of your work. · Job Title: Indicate what position you held. Your job title is important information for understanding your job description and scope of responsibilities. · Tenure: how long you have worked for the company. ·Job Description: Indicate the job description you were responsible for. The information in the "Work History" section is used by the interviewer to evaluate whether you are suitable for the company during the job search process. In addition, the skills and achievements gained from your past work experience are a means of showing your potential for the next job.

[0088] The item "skills" indicates information about the specific abilities and expertise of the interviewer. Specifically, the item "skills" includes the following information. The following are examples, but are not limited to these. Technical skills: Shows what technical skills you have. Technical skills can be, for example, programming, design skills, language skills, etc. Soft skills: Shows what soft skills the candidate possesses. Soft skills include, for example, communication skills, leadership, problem-solving skills, etc. · Credentials: Indicate what credentials the interviewer has. The information in the "Skills" category is an important element in job hunting activities for interviewers to highlight their own abilities, experience, etc. The information in the "Skills" category also serves as reference information for those who evaluate job applicants to select appropriate candidates.

[0089] The item "resume file" is an item that indicates information about the interviewer's resume file. The item "resume file" refers to information about the resume file that lists the individual's career history, work history, personal information, etc. The item "resume file" includes the following information. The following are examples and are not limited to these. Basic information (name, address, contact details, etc.) Educational background (school name, major, degree, etc.) Work history (company name, job type, length of employment, job description, etc.) Health status Credentials ·Achievements ·hobby ·Self promotion ·Person's preference field The information in the item "Resume File" will be a reference for those who evaluate job applicants to select suitable candidates.

[0090] Fig. 7 is a diagram showing the data structure of business database 2023. Business database 2023 is a database for managing information of businesses in interview video system 1. Business database 2023 in Fig. 7 includes an item "business ID", an item "business name", an item "email address", an item "telephone number", an item "location", and an item "industry".

[0091] The item “business ID” indicates a unique ID for each business, which is necessary when managing businesses in the interview video system 1 in the interview video system 1. There are various formats for the business ID. For example, it can be a combination of a character string, a combination of a number and a character string, an email address, etc. It is important that the business ID is unique within the system, and it is designed not to be duplicated. For example, in the interview video system 1, when issuing an account for a user of the interview video system 1, the second device 30 accepts an input for registration of an email address from a business that will be a user of the interview video system 1. The server 20 of the interview video service issues a business ID in response to accepting the input for registration of an email address. Although the example of registering each business in the business database 2023 has been described above, a system may be adopted in which multiple users can register within each business. For example, the interview video system 1 does not allow creation of only one account for the business ABC Co., Ltd., but allows creation of multiple user accounts within the business, such as the sales manager of ABC Co., Ltd., the human resources manager of ABC Co., Ltd., etc.

[0092] The item "business name" is information indicating the name of a business. For example, the item "business name" is a company name, an organization name, or the like.

[0093] The item "email address" indicates information about the email address of the business.

[0094] The item "phone number" is an item showing information on the telephone number of the business. The item "phone number" may be used for inquiries, contact, etc. between the business and the interviewer.

[0095] The item "Location" indicates the location of the business. The information in the item "Location" can be an important factor in considering the convenience of commuting for job seekers in recruiting activities.

[0096] The item "industry" indicates information about the business type of the business operator. Examples of the "Industry" item are as follows. The following are examples only and are not limited to these. ·Manufacturing industry Service industry ·Financial industry ·Education industry Retail ·Agriculture ·Fisheries ·IT industry ·Education industry

[0097] Fig. 8 is a diagram showing the data structure of the chapter database 2024. The chapter database 2024 is a database for managing information on chapters of the filmed videos in the interview video system 1. The chapter database 2024 in Fig. 8 includes an item "chapter ID", an item "filmed video ID", an item "title", an item "transcription content", an item "start time", and an item "end time". In addition, when considering the data structure, information regarding chapters may be incorporated into the database of filmed videos 2021 in a data structure schema.

[0098] The item "chapter ID" indicates a unique ID for a chapter that is required in the interview video system 1 when managing chapter information of videos shot by the interview video system 1.

[0099] The item "Video ID" is as explained above.

[0100] The item "title" indicates information on the title of the chapter of the filmed video. The server 20 manages each chapter of the filmed video by giving it a title. The first user can easily manage the chapters of the filmed video by giving a title to each chapter of each filmed video. The title of the chapter of the filmed video may be automatically named when the filmed video is uploaded. The item "title" is, for example, Taro Tanaka_20230909_filmed video_self-introduction, Kaori Yamada_○○ Co., Ltd._filmed video_motivation_20240206, etc. In addition, the item "title" may be given a title from information spoken in the filmed video as described in FIG. 10. The item "title" is not limited to these examples.

[0101] The item "transcription content" is a record of the transcription of the audio information (e.g., speech information, etc.) of the chapter of the filmed video in text format. The method of transcribing the audio information may be, for example, using a voice recognition service or a transcription service. When presenting the shot video to the second user, the second device 30 may present information on the item "transcript content" together with the shot video. For example, the second device 30 may present information on the transcript content (e.g., "Hello, my name is...") of a particular chapter of the shot video in the manner of subtitles in accordance with the playback of the particular chapter.

[0102] The item "start time" is information indicating the start time of a particular chapter in the captured video.

[0103] The item "end time" is information indicating the end time of a specific chapter in the captured video.

[0104] Fig. 9 is a diagram showing the data structure of evaluation database 2025. Evaluation database 2025 is a database for managing evaluation information in interview video system 1. Evaluation database 2025 in Fig. 9 includes an item "evaluation ID", an item "interviewer ID", an item "business ID", an item "evaluation", and an item "evaluation date and time".

[0105] The item “Evaluation ID” indicates a unique ID for an evaluation that is required in the interview video system 1 when managing evaluation information of the interview video system 1.

[0106] The item "interviewer ID" is as explained above. The item "interviewer ID" here indicates information on the interviewer ID of the interviewer who is to be evaluated by the business entity.

[0107] The item "business ID" is as explained above. The item "business ID" here indicates the business ID information of the business that will evaluate the interviewer.

[0108] The item "Evaluation" indicates information on the evaluation made by the business operator to the interviewer. Specifically, the item "Evaluation" includes the proposed annual salary, comments to the evaluator, etc. The following are examples and are not limited to these.

[0109] The item "evaluation date and time" is information indicating the date and time when the business operator accepted the operation to input an evaluation of the interviewer.

[0110] <Operation of the First Embodiment> Next, the operation of each device that constitutes the interview video system 1 will be explained.

[0111] (Release of the filmed video) FIG. 10 is a diagram showing a process flow regarding the publication of a captured video.

[0112] In the interview video system 1, the server 20 makes available to one or more businesses a video of the contents of an interview conducted at a specified business. In the interview video system 1, when taking a video, a camera 70 or the like is used to take a video of the interviewer. The server 20 receives information about the taken video from the camera 70 and stores it in the server 20's database 2021 of taken videos. The server 20 then refers to the information in the database 2021 of taken videos and makes the taken video available to one or more businesses for viewing. In addition, when the first user holds the data of the shot video, the server 20 may accept an operation to upload the data of the shot video from the first user. In response to the upload operation, the server 20 stores information about the shot video in the database 2021 of the shot video of the server 20.

[0113] In step S10071, the camera 70 captures a video of the contents of an interview with an interviewer being conducted at a predetermined business. For example, the camera 70 captures a video of the contents of a second interview being conducted at a certain company.

[0114] In step S10021, server 20 accepts information about the video captured in step S10071. The information about the captured video is, for example, data about the captured video itself, metadata about the captured video, etc. The metadata about the captured video is, for example, information about the capture date and time, information about the number of minutes of the captured video, information about the file format, information about the camera settings, etc.

[0115] In step S10022, the server 20 updates each item in the database 2021 of filmed videos based on the information received in step S10021. The server 20 updates information in the database 2021 of filmed videos, for example, the items "filmed video ID," "title," "video length," "upload date and time," and "interviewer ID," based on the information of the filmed video. The server 20 updates, for example, the item "video length" based on the information of the length of the filmed video received in step S10021.

[0116] In step S10023, the server 20 refers to information in the database 2021 of the shot video, and makes the shot video available for viewing by one or more businesses. When making the shot video available for viewing, the server 20 may present not only the shot video, but also information related to the shot video. The server 20 may also present information about the interviewer in conjunction with the captured video, as shown in Fig. 20. Similarly, the server 20 may present information about each chapter of the captured video in conjunction with the captured video, as shown in Fig. 21. The server 20 may also present a search window area for searching the captured video, an input field area for inputting an evaluation of the interviewer, and the like in conjunction with the captured video.

[0117] The captured video may be provided with information about the topics discussed in the captured video, as shown in the following example. Note that the timing for providing information to the captured video may be during the shooting of the captured video, after the shooting of the captured video, or after uploading the captured video to the server 20. Examples of topics in the video are as follows. The following are examples only and are not limited to these. ·self-introduction Biography Past goals and achievements ·Reason for applying Communication skills Matters related to reporting, contact, and consultation Stress tolerance About the future What we are working on Leadership experience ·customer negotiation experience Work style ·Home internet environment -Whether or not you own a PC -Whether or not you own a smartphone ·PC skills Regarding side jobs About other companies About self-assessment For example, the hiring manager may anticipate which of the above topics he or she will ask about during the interview. For example, the hiring manager may set a rule not to ask about the applicant's motivation for applying. In addition, the recruiter in the interview may record whether or not a specific topic was discussed during the interview, such as these topics. The interview video system 1 may have such a function built in. Specifically, the server 20 may accept an input of an operation related to which topic was discussed from the recruiter's terminal. For example, when a topic of self-introduction is discussed in a certain filmed video, the server 20 may accept an input of an operation such as recording information that the topic of self-introduction was discussed from the recruiter's terminal. The server 20 may store information related to the topic in the filmed video as described above in the filmed video database 2021. In addition, when accepting input of information related to the topic from the recruiter, the recruiter's terminal may accept input during the interview or may accept input of information related to the topic after the interview. Furthermore, when accepting input of information related to the topic from the recruiter during the interview, the recruiter's terminal may record information of the time stamp of the time when the information related to the topic was input together with the information related to the topic. The information on the topic and the time stamp information received from the recruiter may be stored in the filmed video database 2021 and then used as information in the chapter database 2024. For example, the server 20 may incorporate the topic (e.g., self-introduction, home internet environment) into a part of the item "title" in the chapter database. Also, for example, when dividing into predetermined chapters, the server 20 may divide into the predetermined chapters by referring to the information on the topic and the time stamp information. Furthermore, the hiring manager in the interview may check whether more detailed items are included in the self-introduction, which is one of the topics. For example, the self-introduction is a measure of the ability to verbalize, explain, express, etc., and specifically, there may be checklist items for whether the following items are included. The following are examples and are not limited to these. -Pay attention to the other person's prior knowledge - Not using company-specific terminology - The units and indicators used in the explanation are clear. - Mentioned the company you work for -Clear performance figures · Clear numerical targets -Succinctly summarized · Confident in speaking Be specific

[0118] By recording the video of the interview in this way and making the video available to other businesses, the interviewer can communicate to other businesses what he or she said in the interview without having to repeat it. As a result, the interviewer can provide interview information, etc. to various businesses registered in the interview video system 1 without much effort.

[0119] (Associating the recorded video with the transcribed information of what is said in the video) FIG. 11 is a diagram showing a process flow for associating a captured video with transcribed information of spoken content in the video.

[0120] In step S11021, the server 20 associates the captured video with information obtained by transcribing the contents of speech in the video.

[0121] In step S11022, the server 20 associates the video with the transcription information of the speech content in the video and information about the career of the interviewer who appears in the video. For example, the information about the career of the interviewer is as follows. The following is an example, and is not limited to these. Information on the "Educational Background" item in the interviewer database 2022 in Figure 6 Information on the "Work Experience" item in the interviewer database 2022 in Figure 6 Information on the "Skills" item in the interviewer database 2022 in Figure 6 Information on the item "Resume File" in the Interviewer Database 2022 in Figure 6 In addition, when presenting the above information, the interview video system 1 may present the information in a format that is easy for the second user to understand. For example, the interview video system 1 may present information on each item of the interviewer database 2022 in Fig. 6 in the form of a hashtag. In addition, the interview video system 1 may present information on the deviation value of the educational institution attended by the interviewer and the difference in deviation value between the average of the company's selection candidates and the information on the item "educational background" in the interviewer database 2022 in Fig. 6. In step S11022, the server 20 refers to and associates information about the career history of the interviewer appearing in the video, specifically, information on each item in the interviewer database 2022 of FIG. 6 as described above. The server 20 may perform steps S11021 and S11022 in any order.

[0122] In step S11023, server 20 allows one or more businesses to view the information associated in step S11022 together with the captured video. When server 20 allows the associated information to be viewed in step S11023, server 20 may display each item in interviewer database 2022 in Fig. 6 in an easily visible format such as a tag.

[0123] By performing a process of associating the transcribed information of the contents of the video with the recorded video, the second user can grasp the transcribed information of the contents of the video and information about the interviewer's career when viewing the recorded video. This reduces the effort required for the second user to collect various information about the interviewer.

[0124] (Chapter processing) FIG. 12 is a diagram showing the flow of a process for dividing a shot video into predetermined chapters.

[0125] With regard to FIG. 12, it is assumed that the server 20 stores information on the captured video in a database 2021 of captured videos.

[0126] In step S12021, the server 20 divides the captured video into predetermined chapters. The server 20 divides the captured video, for example, according to a specific theme, a specific scene, or a specific segment. The method of dividing the video into chapters is, for example, as follows. The following are examples, and the video is not limited to these. - Split the video from the transcript The server 20 first transcribes the captured video using audio processing. Then, the server 20 performs natural language processing based on the transcribed information and divides the video into chapters according to a specific theme, a specific scene, or a specific segment. - Split the video using audio processing information The server 20 performs audio processing on the captured video and divides the video into chapters based on a specific theme, a specific scene, or a specific segment. - Divide the video into specific time slots The server 20 divides the captured video by a specific time. For example, the server 20 divides the video at regular intervals. Specifically, the server 20 may divide the video into chapters every five minutes based on the time elapsed from the start of the captured video. Regarding dividing the shot video by a specific theme, a specific scene, or a specific segment, the server 20 divides the shot video into predetermined chapters, for example, as follows. The following are examples and are not limited to these. ·Self-introduction chapter A chapter that talks about reasons for changing jobs Chapters that talk about working styles Chapters that talk about work locations · A chapter that talks about motivation ·Chapters talking about work experience · Question and Answer chapter · Practical Exam Chapter -Chapters where you are talking to a specific person

[0127] In step S12022, the server 20 stores in the chapter database 2024 the information of the chapters divided in step S12021. The server 20 updates, for example, the items "chapter ID", "filmed video ID", "title", "transcription content", "start time", and "end time" of the chapter database 2024. The server 20 updates, for example, the item "start time" based on the information of the chapters divided in step S12021. For example, when storing information of a chapter from 8 minutes to 10 minutes of the filmed video, the server 20 stores 8:00 in the item "start time". In addition, the server 20 stores 10:00 in the item "end time" for that chapter. The server 20 may allow one or more businesses to view the stored chapter information together with the captured video. The server 20 may allow each chapter to be played back in response to receiving an input of a playback operation from the second user for each chapter.

[0128] By dividing the shot video into predetermined chapters, the second user can easily access a portion of the shot video that he or she particularly wants to view.

[0129] (Processing for the Motivation Chapter) FIG. 13 is a diagram showing the flow of processing related to the motivation chapter.

[0130] With regard to FIG. 13, it is assumed that the server 20 stores in the chapter database 2024 information on the chapters divided in step S12021.

[0131] In step S13021, the server 20 refers to the chapter database 2024 and determines whether there is a chapter on motivation for applying. Note that if motivation for applying is not discussed in the first place in the filmed video, there may be no chapter on motivation for applying in the filmed video. Examples of methods for determining whether there is a chapter on motivation for applying include the following. The following are examples and are not limited to these. · Determine whether the chapter title contains words related to the motivation for applying For example, when the item "title" in the chapter database 2024 contains a keyword related to motivation, the server 20 determines that the chapter is about motivation. - Determine whether the chapter is a good motive based on the transcript For example, the server 20 performs natural language processing on the item "transcription content" in the chapter database 2024, calculates correlations, etc., and determines whether the chapter is about motivation for applying.

[0132] In step S13022, if the server 20 determines that there is a chapter relating to the motivation for applying, it executes a process of deleting the information of the chapter relating to the motivation for applying.

[0133] For example, by deleting the chapter about the motivation for applying, the first user can delete the relevant part about the reason for applying to the company that he / she interviewed with during the interview. If the reason for applying contains private information, the interview video system 1 can delete the private part and present the filmed video to the second user.

[0134] (Search processing) FIG. 14 is a diagram showing a process flow relating to a search. In the interview video system 1, the second user can search for the first user, videos shot by the first user, etc., using a specific keyword, a specific tag, a specific condition, etc. The following example shows an example of accepting an operation to search from the second user using a specific keyword. As an assumed example, for example, the second user wants to strengthen the security measures of the company's products and is looking for someone who has experience working as a security engineer. In this case, the second user can search for search conditions such as security engineer in the interview video system 1. In addition, since the second user can search for specific keywords, specific tags, specific conditions, etc., it is also possible to search for someone who has experience in a specific programming language and also has experience as a security engineer. In this way, the second user can easily search for a security engineer.

[0135] With regard to FIG. 14, it is assumed that the server 20 stores in the chapter database 2024 information on the chapters divided in step S12021.

[0136] In step S14031, the second device 30 accepts an input of an operation to search for a captured video by a search keyword. For example, the second device 30 accepts an input of an operation to search for a captured video by a search keyword such as “security engineer” from the second user.

[0137] In step S14021, the server 20 refers to the chapter database 2024 and determines whether each chapter contains the search keyword or a similar keyword. The method for determining whether each chapter contains the search keyword is the method described in step S13021. Furthermore, the server 20 may refer to the information for each item in the interviewer database 2022 and determine whether the search keyword or a similar keyword is included.

[0138] In step S14022, if the server 20 determines that the chapter contains the search keyword, it extracts information about the chapter.

[0139] In step S14032, the second device 30 presents the extracted information of the chapter. For example, the second device 30 may present the extracted information of the chapter, etc. on a screen listing search results. The second device 30 may present, not only the chapter information, but also information on the first user, information on the evaluation of the first user, information on the number of search results, etc. on the screen listing search results. The second device 30 may also present information on the item “transcript” of the chapter database 2024. When presenting the transcript, the second device 30 may highlight the portion of the search keyword. In addition, the second device 30 may be able to change the sort order of the search result list based on indices such as the most recently uploaded captured videos or the number of views of the captured videos.

[0140] In this way, the second user can quickly find an interviewer who matches specific conditions or specific keywords from among many interviewers.

[0141] (Processing regarding disclosure of recorded video) FIG. 15 illustrates a process of receiving information on which shot videos should not be disclosed from a first user and controlling the disclosure range of the shot videos in accordance with the received information.

[0142] In step S15011, the first device 10 accepts an operation from the first user to select targets for which the captured video is not to be disclosed, for example, by industry, company, department, person, or occupation. For example, the first device 10 accepts the following operations for targets for which the video is not to be disclosed. The following are examples, and are not limited to these. -Do not disclose videos to IT companies -Do not disclose the video to DEF Co., Ltd. - The video will not be disclosed to the development department of DEF Corporation. - The video will not be shown to DEF Corporation engineers. - The video will not be shown to DEF Corporation's engineer, Mr. Tanaka. -Retail and manufacturing businesses will not be shown the video - The video will not be disclosed to retail businesses or the development department of DEF Corporation. The first device 10 accepts an operation from the first user to select a target for which the video is not to be disclosed, for example, by inputting information into a specific form, operating a specific button, or the like. The first device 10 accepts an operation from the first user to select a target whose video is not to be disclosed at any time. Specifically, the first device 10 may accept an operation from the first user to select a target whose video is not to be disclosed before the filmed video is made public, or may accept an operation to select a target whose video is not to be disclosed after the filmed video is made public.

[0143] In step S15021, the server 20 stores the received information in the item “subject not to be disclosed” in the database 2021 of the captured video.

[0144] In step S15022, the server 20 makes the captured video available to one or more businesses for viewing. However, at this time, the server 20 does not make the captured video available to the targets set in step S15011 for viewing.

[0145] By controlling the scope of disclosure of the captured video, the first user can prevent private information from being provided to people he or she does not want to know about.

[0146] (Evaluation Processing) FIG. 16 is a diagram showing a process flow relating to accepting an evaluation of a first user from a second user.

[0147] 16, the server 20 refers to information in the database 2021 of the shot video, and makes the shot video available for viewing by one or more businesses. When making the shot video available for viewing, the server 20 may present not only the shot video, but also information about the shot video.

[0148] In step S16031, the second device 30 accepts an input of an evaluation of the first user from the second user. The evaluation includes an evaluation regarding the hiring conditions. The second device 30 accepts an input of an offered annual salary from a specific business, for example. When making the evaluation, the interview video system 1 may accept an evaluation from the second user in a bidding format. For example, the interview video system 1 may accept an evaluation in a bidding format in which one company proposes an annual salary of 5 million yen and the other company proposes an annual salary of 7 million yen. It is considered that the contents of the evaluation accepted in the bidding format may include the following. The following are examples and are not limited to these. · Recruitment conditions: annual salary, benefits, etc. · Type of work: Full-time, side job, work from home, etc. -Suggestions for business content: side job content, etc. - For qualified educational institutions, suggesting educational content - For recruitment agencies, proposals for placements

[0149] In step S16021, the server 20 accepts the evaluation information input in step S16031.

[0150] In step S16022, the server 20 stores the evaluation information received in step S16021 in the evaluation database 2025. Based on the received evaluation information, the server 20 updates, for example, the items "evaluation ID", "interviewer ID", "business ID", "evaluation", and "evaluation date and time" of the evaluation database 2025.

[0151] In step S16023, the server 20 makes the evaluation information public. The evaluation information may be made public to the first user and the second user. The first user may be able to filter and view the evaluation information based on various conditions such as employment conditions, business form, business type, business location, etc.

[0152] By receiving an evaluation of the first user from the second user, the first user can confirm the evaluation. Then, the first user can receive the evaluation and understand the numerical evaluation of the first user (e.g., annual income, etc.), the first user's strengths, the first user's areas for improvement, etc.

[0153] (Processing regarding publication of evaluations) 17 is a diagram showing a process flow for disclosing an evaluation of a first user after the evaluation is received from a second user. For example, the interview video system 1 keeps part of the evaluation information private, and discloses the evaluation information in response to receiving a certain amount of money from the first user.

[0154] In step S17011, the first device 10 accepts a predetermined operation from the job seeker. The predetermined operation is, for example, a billing operation.

[0155] In step S17021, the server 20 accepts information on a predetermined operation.

[0156] In step S17022, the server 20 determines whether or not a predetermined condition is satisfied for the predetermined operation accepted in step S17021. For example, if the billing amount is 1000 yen or more, the server 20 determines that the predetermined condition is satisfied.

[0157] In step S17023, if a predetermined condition is satisfied, the server 20 makes information about the evaluation from the second user publicly available for viewing, for example.

[0158] In this way, the interview video system 1 can ensure stability of revenue. As a result, the interview video system 1 can provide the services related to the interview video system 1 in a sustainable manner.

[0159] (Processing of information disclosure) 18 is a diagram showing a process flow for disclosing various information of a first user in response to receiving a predetermined operation from a second user. For example, the interview video system 1 keeps part of the information of a face photo of the first user private, and discloses the information of the face photo in response to receiving a certain amount of money from the second user.

[0160] In step S18031, the second device 30 accepts a predetermined operation from the second user. The predetermined operation is, for example, a billing operation.

[0161] In step S18021, the server 20 accepts information on a predetermined operation.

[0162] In step S18022, the server 20 determines whether or not a predetermined condition is satisfied for the predetermined operation accepted in step S18021. For example, if the billing amount is 1000 yen or more, the server 20 determines that the predetermined condition is satisfied.

[0163] In step S18023, when a predetermined condition is satisfied, the server 20 makes available for viewing at least any combination of information on the job seeker and information on the evaluation from the second user. The information on the job seeker is, for example, information on the face photo of the job seeker, information on the career history of the job seeker, etc.

[0164] In this way, the interview video system 1 can ensure stability of revenue. As a result, the interview video system 1 can provide the services related to the interview video system 1 in a sustainable manner.

[0165] <Screen example> FIG. 19 is a diagram showing a screen on which a captured video is presented.

[0166] As explained in Fig. 10, the interview video system 1 presents the shot video to one or more businesses. Fig. 19 is an example of a screen for presenting the shot video.

[0167] Specifically, the second device 30 presents the following information on a dialog screen 1900: Area 1901 is an area for receiving input of an operation related to playing the video of the interviewer from the second user. In response to receiving input of an operation related to playing from the second user, the first device 10 plays the video. In addition, in area 1901, the second device 30 can also perform operations such as pausing the video and playing it at double speed.

[0168] FIG. 20 shows a screen presenting information about the interviewer.

[0169] As explained in Fig. 10, the interview video system 1 presents the captured video to one or more businesses. Also, as explained in Fig. 11, the second device 30 may present the career information of the interviewer together with the captured video. Fig. 20 is an example of a screen that presents the captured video together with the career information of the interviewer.

[0170] Specifically, the second device 30 presents the following information on the dialog screen 2000: Area 1901 is as explained above. Area 2001 is an area for presenting career information of the interviewer, etc. Specifically, the career information of the interviewer presents information on the interviewer's educational background, work history, and skills. Note that the career information of the interviewer may include information as described in step S11022 of FIG. 11.

[0171] FIG. 21 shows a screen that presents information about the chapters of a captured video.

[0172] As explained in Fig. 10, the interview video system 1 presents the shot video to one or more businesses. Also, as explained in Fig. 12, the second device 30 may present information on the chapters of the shot video together with the shot video. Fig. 21 is an example of a screen that presents the shot video and information on the chapters of the photo shoot together.

[0173] Specifically, the second device 30 presents the following information on a dialog screen 2100: Area 1901 is as explained above. Area 2101 is an area that presents information about each chapter of the shot video. Area 2101 can also receive input from the second user regarding operations related to playback for each chapter. In this way, the second user can view only the chapters that he or she wants to view. Additionally, area 2101 may display the title, description, and transcript of each chapter.

[0174] FIG. 22 shows a screen that presents various information related to the captured video.

[0175] As described in FIG. 10, the interview video system 1 presents the captured video to one or more businesses. 11, the second device 30 may present the career information of the interviewer together with the captured video. Also, as described in FIG. 12, the second device 30 may present the chapter information of the captured video together with the captured video. FIG. 22 is an example of a screen that displays, together with the captured video, various information such as information about the captured video and information about the person who interviewed the captured video on one screen.

[0176] Specifically, the second device 30 presents the following information on the dialog screen 2200: Area 1901 is as explained above. Area 2001 is as explained above. Area 2101 is as explained above. The area 2201 is an area where a second user can search for a first user, videos captured by the first user, etc., using a specific keyword, a specific tag, a specific condition, etc. Details of the search process are described in FIG. 14. The area 2202 is an area where an input of a rating from a second user to a first user can be received. Details regarding input of a rating are described with reference to FIG.

[0177] <Modification> (1) Market Value As described above, the server 20 makes available to one or more businesses a video of the contents of an interview conducted at a specified business. In the interview video system 1, when a video is shot, a video of the interviewer is shot using a camera 70 or the like. The server 20 receives information about the shot video from the camera 70 and stores it in the server 20's database 2021 of shot videos. The server 20 then refers to the information in the database 2021 of shot videos and makes the shot video available to one or more businesses for viewing. In the interview video system 1, the interview to be videotaped may be an interview in which performance is reported within one or more businesses. For example, the performance report may be a videotaped meeting held within a business where a presentation is given to a superior regarding a half-yearly evaluation. This allows the second user to see how the first user is actually working, what kind of achievements he or she has made at the company, and other aspects of how the first user is actually working, by watching the performance report. This also allows the first user to convey to the second user in detail the actual working conditions, achievements, atmosphere, and the like, through the contents of the meeting that he or she presented. This allows the first user to convey to the second user the good points of the first user that cannot be conveyed by interview alone. Furthermore, after the video in which the performance report is made public to the second user, the second user may accept an evaluation of the video. By accepting the evaluation in this way, the first user can objectively grasp his or her own market value. Furthermore, the interview video system 1 may suggest an opportunity for the first user to improve his or her skills based on the evaluation from the second user. Furthermore, the interview video system 1 may propose to disclose the filmed video when a certain requirement is met for the filmed video. The certain requirement may be, for example, to propose to disclose the filmed video when a certain period of time has passed since the filmed video was shot. In this way, the first user can realize if he or she has forgotten about the filmed video. Furthermore, for the interview video system 1, proposing to disclose the filmed video in this way also contributes to an increase in the number of filmed videos published on the platform. In the interview video system 1, even when the first user has the purpose of grasping the market value, the server 20 may release the video of the interview conducted at a specific business to one or more businesses. In other words, the release of a video for the purpose of grasping the market value is, for example, an example of releasing a video for a purpose other than job-seeking in step S10023. A purpose other than job-seeking is, for example, when the first user is not immediately seeking a job but wants to know his / her market value at that time. Knowing one's market value is very important not only when one is immediately considering job hunting, but also when considering future prospects, one's career plan, etc. In step S10023, when a video is made public for a purpose other than job-seeking, the interview video system 1 makes the video public in a manner that allows the viewer to recognize that the video is not for job-seeking purposes. Examples of a manner that allows the viewer to recognize that the video is not for job-seeking purposes include tagging the video to indicate that the video is not for job-seeking purposes, or using a specific UI design to indicate that the video is not for job-seeking purposes.

[0178] (2) Recommendations for the first user The server 20 may use AI (artificial intelligence) to recommend to the first user a business that is estimated to be suitable for the first user. For example, the server 20 realizes the recommendation in the following manner. The following is an example, and is not limited to this. First, the server 20 refers to information about the first user from various databases such as a database 2021 of filmed videos and a database 2022 of interviewers. Next, the server 20 refers to information about documents (e.g., job descriptions, etc.) in which the human resources required by the business are listed. Next, the server 20 uses correlation analysis to obtain a correlation between the information about the first user referred to and the information about documents (e.g., job descriptions, etc.) in which the human resources required by the business are listed. The correlation analysis evaluates the correlation between each piece of data using a statistical index such as the Pearson correlation coefficient. In the correlation analysis, the AI ​​automatically detects and evaluates the correlation between each piece of data from a large amount of data. For example, the server 20 inputs information about the first user and job descriptions of multiple businesses into the AI, and causes it to output businesses that are estimated to be suitable for the first user. The server 20 may use the results of the correlation analysis to present to the first user, for example, information about businesses that have a strong positive correlation with the information about the first user.

[0179] (3) Recommendations for the second user Assume that the server 20 receives an operation related to inputting an offer from a second user to a specific first user. In response to receiving the operation related to inputting an offer, the server 20 may recommend to the second user a first user different from the specific first user who made the offer, and similar to the attribute information of the specific first user who made the offer. The server 20 may make the recommendation using AI (artificial intelligence). For example, the server 20 realizes the recommendation in the following manner. The following is an example, and is not limited to this. First, the server 20 refers to information on the specific first user who made the offer from various databases such as the database 2021 of the filmed video and the database 2022 of the interviewer. Next, the server 20 refers to various databases such as the database 2021 of the filmed video and the database 2022 of the interviewer, and collects information on the first user who is different from the specific first user who made the offer. Next, the server 20 uses correlation analysis to obtain a correlation between the information on the specific first user who made the offer and the information on the first user who is different from the specific first user who made the offer. For example, the server 20 inputs information on a predetermined first user and information on a plurality of other first users to the AI, and outputs a first user who has a strong positive correlation (similar nature) with the specific first user who made the offer. The server 20 may use the result of the correlation analysis to present to the second user, for example, information on the specific first user who made the offer and information on the first user who is different from the specific first user who made the offer and has a strong positive correlation.

[0180] Although several embodiments of the present disclosure have been described above, these embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and modifications are within the scope of the invention and its equivalents as described in the claims, as well as the scope and spirit of the invention.

[0181] <Additional Notes> The following description adds to the matters described in the above embodiments. (Appendix 1) A program to be executed by a computer having a processor and a memory, the program causing the computer's processor to execute the steps of: recording video of the contents of an interview conducted by a specified business; storing the recorded video; and making the recorded video available for viewing by one or more businesses.

[0182] (Appendix 2) A program as described in (Appendix 1), which causes a processor to execute a step of associating information about the job seeker's career that appears in the video with the video, and in the step of making the video public, makes the information about the job seeker's career available to one or more businesses along with the video.

[0183] (Appendix 3) A program as described in (Appendix 1), which causes a processor to execute a step of associating transcribed information of the speech in the video with the video, and in a publishing step, makes the transcribed information of the speech in the video available to one or more businesses along with the video.

[0184] (Appendix 4) The program described in (Appendix 1), wherein in the step of storing the video, the video is divided into specified chapters, and the specified chapters are divided by either a specific theme, a specific scene, or a specific segment.

[0185] (Appendix 5) The program according to claim 4, wherein in the step of storing the video, if a divided chapter is a chapter about motivation for applying, the chapter is deleted.

[0186] (Appendix 6) The program described in (Appendix 1), wherein in the publishing step, the business is a company recruiting, a qualification education institution, a training institution, a staffing agency, a recruitment agency, or a combination of at least any of these.

[0187] (Appendix 7) The program described in (Appendix 1), wherein in the disclosure step, an operation is accepted from the job seeker to select one or more businesses not to disclose the video.

[0188] (Appendix 8) A program as described in (Appendix 7), in which, in the publishing step, an operation is accepted from the job seeker to select targets for which the video will not be disclosed, by industry, company, department, person, or job type.

[0189] (Appendix 9) A program as described in (Appendix 1), which causes a processor to execute a step of receiving evaluations of a job seeker from one or more businesses and a step of publishing the evaluations, and in the publishing step, publishes the evaluations entered by the businesses for the job seeker.

[0190] (Appendix 10) The program described in (Appendix 9), wherein, in the disclosure step, when a job seeker satisfies a specified condition, information regarding evaluations from one or more businesses becomes viewable.

[0191] (Appendix 11) The program described in (Appendix 9), wherein in the disclosure step, when a specified condition is satisfied by one or more businesses, at least any combination of information about the job seeker and information regarding evaluations from one or more businesses becomes available for viewing.

[0192] (Appendix 12) The program according to claim 9, wherein in the step of accepting an evaluation, the evaluation is an evaluation regarding employment conditions.

[0193] (Appendix 13) The program described in (Appendix 9), wherein in the step of accepting evaluation input, evaluations are accepted in the form of a bidding from one or more projects.

[0194] (Appendix 14) The program according to (Appendix 1), wherein in the step of filming the video, the interview includes an interview in which performance within one or more businesses is reported.

[0195] (Appendix 15) A program as described in (Appendix 14), which suggests disclosing the recorded video when certain requirements are met for the recorded video.

[0196] (Appendix 16) A program as described in (Appendix 14), in which, in the step of making the video publicly available for viewing, if the video is made public for a purpose other than job seeking, the video is made public in a manner that makes it clear that the video is not for job seeking purposes.

[0197] (Appendix 17) A program as described in (Appendix 1), which causes a processor to execute a step of receiving information about the topic discussed in the video from a person in charge of an interview conducted by a specified business, and in the storing step, associates the information about the topic with the video.

[0198] (Appendix 18) A method executed by a computer having a processor and a memory, the method comprising the steps of: recording video of the contents of an interview being conducted at a specified business; storing the recorded video; and making the recorded video available for viewing by one or more businesses.

[0199] (Appendix 19) An information processing device having a control unit and a memory unit, wherein the control unit executes the steps of: recording a video of the contents of an interview being conducted by a specified business; storing the recorded video; and making the recorded video available for viewing by one or more businesses.

[0200] (Appendix 20) The system includes a means for videotaping the contents of interviews conducted at a specified business, a means for storing the videotaped content, and a means for making the videotaped content available for viewing by one or more business operators. [Explanation of symbols]

[0201] 1: Interview video system, 10: First device, 12: Communication IF, 13: Input device, 14: Output device, 15: Memory, 16: Storage unit, 19: Processor, 20: Interview video service server, 22: Communication IF, 23: Input / output IF, 25: Memory, 26: Storage, 29: Processor, 30: Second device, 32: Communication IF, 33: Input device, 34: Output device, 35: Memory, 36: Storage unit, 39: Processor, 70: Camera, 80: Network, 111: Antenna, 121: First wireless communication unit, 130: Operation reception unit, 132: Display, 140: Audio processing unit, 141: Microphone, 142: Speaker, 161: Shooting video information, 191: Input operation reception unit, 192: Transmission and reception unit, 193: data processing unit, 194: notification control unit, 201: communication unit, 202: memory unit, 203: control unit, 311: antenna, 321: first wireless communication unit, 330: operation reception unit, 332: display, 340: audio processing unit, 341: microphone, 342: speaker, 391: input operation reception unit, 392: transmission / reception unit, 393: data processing unit, 394: notification control unit, 2021: database of captured videos, 2022: database of interviewers, 2023: database of businesses, 2024: database of chapters, 2025: database of evaluations, 2031: reception control module, 2032: transmission control module, 2033: management module, 2034: video processing module

Claims

1. A program to be executed by a computer having a processor and a memory, The program causes a processor of the computer to: A step of videotaping the contents of an interview conducted at a specified business; storing the captured video; Making the captured video available for viewing by one or more businesses; A program to execute.

2. having the processor associate with the video information about the career of the job seeker depicted in the video; 2. The program according to claim 1, wherein in the step of making the video public, information about the career of the job seeker is made available to the one or more businesses along with the video.

3. having the processor execute a step of associating a transcription of spoken content in the video with the video; The program according to claim 1 , wherein in the publishing step, the one or more businesses are made able to view information transcribed from the content of the speech in the video together with the video.

4. In the step of storing the moving image, The video is divided into predetermined chapters, The program according to claim 1 , wherein the predetermined chapter is divided according to any one of a specific theme, a specific scene, and a specific segment.

5. In the step of storing the moving image, 5. The program according to claim 4, further comprising: deleting a divided chapter if the divided chapter is a chapter about motivation for applying.

6. In the step of disclosing, The program according to claim 1 , wherein the business is a recruiting company, a qualification education institution, a training institution, a staffing agency, a recruitment agency, or at least any combination thereof.

7. In the step of disclosing, The program according to claim 1 , further comprising: an operation for selecting, from a job seeker, the one or more businesses to which the video is not to be disclosed.

8. In the step of disclosing, The program according to claim 7 , further comprising an operation for selecting targets to which the video should not be disclosed by industry, company, department, person, or job type from the job seeker.

9. receiving an evaluation of the job seeker from the one or more businesses; publishing the evaluation; In the step of disclosing, The program according to claim 1 , wherein the evaluation entered by the business operator for the job seeker is made public.

10. In the step of disclosing, When the job seeker meets the specified conditions, The program according to claim 9 , further comprising the step of enabling the user to browse information relating to evaluations from the one or more businesses.

11. In the step of disclosing, When the specified conditions are met by the one or more businesses, 10. The program according to claim 9, wherein at least any combination of the information about the job seeker and the information about the evaluation from the one or more businesses can be viewed.

12. In the step of receiving the evaluation, The program according to claim 9 , wherein the evaluation is an evaluation regarding employment conditions.

13. In the step of receiving an input of the evaluation, The program according to claim 9 , wherein evaluations are accepted from the one or more businesses in a bidding format.

14. In the step of taking a moving image, The program according to claim 1 , wherein the interview includes an interview in which a report is made on performance within the one or more businesses.

15. The program according to claim 14 , further comprising a suggestion to disclose the captured video when a predetermined condition is satisfied for the captured video.

16. In the step of publishing the information as viewable, The program according to claim 14 , wherein, when the video is made public for a purpose other than job-seeking, the video is made public in a manner that makes it recognizable that the video is not made public for the purpose of job-seeking.

17. having the processor execute a step of receiving information about a topic discussed in the video from a person in charge of the interview being conducted at the predetermined business; The program of claim 1 , wherein in the storing step, information about the topic is associated with the video.

18. A method implemented on a computer having a processor and a memory, comprising: The processor, A step of videotaping the contents of an interview conducted at a specified business; storing the captured video; Making the captured video available for viewing by one or more businesses; A method for performing.

19. An information processing device including a control unit and a storage unit, The control unit: A step of videotaping the contents of an interview conducted at a specified business; storing the captured video; Making the captured video available for viewing by one or more businesses; An information processing device that executes the above.

20. A means for recording video of the interviews being conducted at a designated business; A means for storing the captured video; A means for making the captured video available for viewing by one or more businesses; A system comprising:

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