Information processing apparatus, information processing method, and program

Abstract

To extract candidates of participant in a new project based on output record information of participants in a predetermined project in a predetermined community or organization.SOLUTION: A participant output record information acquisition unit 51 in a server 1 acquires participant output record information of a participant UK in a predetermined project in a predetermined community or organization. A participant relationship analysis unit 52 analyzes relationships with other participants U1 to UN in the predetermined project, for the participant output record information. A participant candidate extraction unit 53 extracts, from among the other participants U1 to UN, candidates UL of participant in a new project in which the participant UK participates, based on the output record information and the relationships.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] Conventionally, there exists a technique for evaluating the state of people participating in a community by collecting and evaluating voice information, image information, and relationship information between participants (see, for example, Patent Document 1). In addition, there is a technology in the past that receives conditions for identifying member candidates, extracts candidates from a database in which the candidate attribute information is recorded, and presents the candidates to a member selector by ranking them based on the personal "closeness" between the candidates. The member selector can select candidates in order of closest closeness, and the selected members are displayed on a graph that represents their closeness with the member selector (see, for example, Patent Document 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2023-014941 A [Patent Document 2] JP 2009-140029 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in recent years, there has been a demand for a mechanism for extracting potential participants for a new project based on the output record information of participants in a specific project in a specific community or organization, but conventional technologies, including the technologies of Patent Documents 1 and 2, are unable to adequately meet this demand.

[0005] The present invention has been made in consideration of the above-mentioned circumstances, and aims to make it possible to extract candidate participants for a new project based on output record information of participants in a specified project in a specified community or organization. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one aspect of the present invention comprises: A participant output record information acquisition means for acquiring participant output record information of a participant in a predetermined project; A participant relationship analysis means for analyzing the participant output record information with respect to relationships with a plurality of other participants in the predetermined project; a participant candidate extraction means for extracting participant candidates for a new project in which the participant will participate from among the plurality of other participants based on the output record information and the relationship; Equipped with.

[0007] An information processing method and a program according to one aspect of the present invention are a method and a program corresponding to an information processing device according to one aspect of the present invention. Effect of the Invention

[0008] According to the present invention, it is possible to extract participant candidates for a new project based on output record information of participants in a specified project in a specified community or organization. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing an overview of a service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. [Diagram 2] 1 is a diagram illustrating an example of a configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. [Diagram 3] 3 is a block diagram showing an example of a hardware configuration of a server in the information processing system shown in FIG. 2. [Figure 4] 4 is a functional block diagram showing an example of a functional configuration of a server in FIG. 3 that constitutes the information processing system in FIG. 2. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0011] First, referring to FIG. 1, an overview of a service (hereinafter referred to as "this service") that can be realized by an information processing system (see FIG. 2 described later) to which a server according to one embodiment of an information processing device of the present invention is applied will be described. FIG. 1 is a diagram showing an overview of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied.

[0012] This service extracts potential participants UL (L is any integer value from 1 to N excluding K) for a new project based on the output record information of a participant UK (K is any integer value from 1 to N) who will participate in a new project from among participants U1 to UN (N is an integer value of 2 or more) of a specified project in a specified community or organization.

[0013] Specifically, for example, in step S1 of this service, the participant output record information acquisition unit 51 of the server 1 acquires the participant output record information of a participant UK in a predetermined project in a predetermined community or organization. Here, the participant output record information is information that is output and recorded in a specified device when the participant UK participates in a specified project. For example, biological output information such as behavior, facial expression, written content, voice quality, pulse rate, breathing, body temperature, and autonomic nerve state of the participant UK is an example of the participant output information.

[0014] In step S2, the participant relationship analysis unit 52 of the server 1 analyzes the participant output record information for relationships with other participants U1 to UN in a given project.

[0015] In step S3, the participant candidate extraction unit 53 of the server 1 extracts participant candidates UL for the new project in which the participant UK will participate from among the other participants U1 to UN, based on the output record information and the relationships.

[0016] In this way, it becomes possible to extract potential participants UL for a new project based on the output record information of participants UK for a specific project in a specific community or organization.

[0017] Specifically, for example, the participant output record information is the facial expression of the participant UK in the performance of a specific project in the past, the contents of writing (positive / negative), the quality of the voice, and biological information such as pulse, respiration, body temperature, and autonomic nerves. Therefore, by using such participant output record information, it becomes possible to analyze the relationship of compatibility between the participant UK and other participants U1 to UN. Therefore, it becomes possible to extract participant candidates UL suitable for the participant UK by focusing on the aspect related to motivation such as "I want to work with this person" rather than on the ability based on the performance of a specific project in the past.

[0018] In addition, although not shown in FIG. 1, this service can also perform analysis using text-based participant output information. That is, the participant output record information acquisition unit 51 can also acquire participant output record information including at least text output information for the participant UK. The participant relationship analysis unit 52 can analyze the relationship with the other participants U1 to UN based on the meaning of the text output information. This makes it possible to analyze compatibility (relationships), such as whether people have similar or different ways of thinking about work, based on the meaning of the text output information, even in cases where there is no physiologically significant information in the participant output record information (for example, no change in pulse or breathing even when people are together).

[0019] In addition, although not shown in FIG. 1, this service also makes it possible to perform analysis using biological system participant output information. That is, the participant output record information acquisition unit 51 can acquire the participant output record information including at least the biometric output information for the participant U K. The participant relationship analysis unit 52 can analyze the relationships with the other participants U1 to UN based on the biometric output information. This makes it possible to analyze, for example, that even if two people have similar philosophies about work, their compatibility (relationship) is poor if significant physiological information is obtained from the participant output record information (for example, if being together causes a faster pulse or irregular breathing).

[0020] In addition, the service also allows weighting according to organizational level, although this is not shown in FIG. That is, the higher the organizational level of the participant candidate UL related to the new project, the more the participant candidate extraction unit 53 can extract the participant candidate UL by placing emphasis on the relationship with respect to the skills of the participant candidate UL. This allows the extraction of potential participants UL to be performed with more emphasis on relationships rather than skills at higher organizational levels.

[0021] In addition, this service can also extract leaders based on relationships, although this is not shown in FIG. That is, the participant candidate extraction unit 53 can extract a leader candidate for the new project based on the relationship between the participant candidate UL pertaining to the new project and the other participants U1 to UN. This makes it possible to extract a leader candidate who will have the best relationships with other participant candidates in a new project.

[0022] Next, with reference to FIG. 2, a description will be given of the configuration of an information processing system that realizes the provision of the above-mentioned service, that is, an information processing system to which a server according to an embodiment of an information processing device of the present invention is applied. FIG. 2 is a diagram showing an example of the configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied.

[0023] The information processing system shown in FIG. 2 is configured to include a server 1, N (N is an integer value of 2 or more) participant terminals 2-1 to 2-N, and an administrator terminal 3. The server 1, participant terminals 2-1 to 2-N, and manager terminal 3 are connected to one another via a network such as the Internet.

[0024] The server 1 is an information processing device managed by the provider of this service (FIG. 1). The server 1 executes various processes for realizing this service while appropriately communicating with the participant terminals 2-1 to 2-N and the administrator terminal 3. Each of the participant terminals 2-1 to 2-N is an information processing device operated by each of the N participants S1 to SN of a given project. In the following, when there is no need to distinguish between the participant terminals 2-1 to 2-N, they are collectively referred to as the "participant terminal 2." The participant terminal 2 is composed of a smartphone, a tablet, a personal computer, etc. The administrator terminal 3 is an information processing device operated by an administrator such as an owner of a specific project that is the subject of this service. Here, when a specific project is managed and provided by this service, the administrator belongs to the provider of this service. On the other hand, when a specific project is managed and provided by an external party, the administrator belongs to an external party, and the administrator terminal 3 may be an external system.

[0025] FIG. 3 is a block diagram showing an example of a hardware configuration of a server in the information processing system shown in FIG.

[0026] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0027] The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13 . The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0028] The CPU 11, ROM 12, and RAM 13 are connected to one another via a bus 14. An input / output interface 15 is also connected to this bus 14. An input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0029] The input unit 16 is configured with, for example, a keyboard and is used to input various information. The output unit 17 is configured with a display such as a liquid crystal display, a speaker, and the like, and outputs various information as images and sounds. The storage unit 18 is configured with a dynamic random access memory (DRAM) or the like, and stores various data. The communication unit 19 communicates with other devices (for example, the participant terminal 2 and the manager terminal 3 in FIG. 2) via a network N including the Internet.

[0030] Removable media 30, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is appropriately loaded into the drive 20. A program read from the removable media 30 by the drive 20 is installed in the storage unit 18 as necessary. Furthermore, the removable medium 30 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18 .

[0031] Although not shown, the participant terminal 2 and the administrator terminal 3 in Fig. 2 can also have a configuration basically similar to the hardware configuration shown in Fig. 3. Therefore, the description of the hardware configuration of the participant terminal 2 and the administrator terminal 3 will be omitted.

[0032] 1 can be executed by cooperation of various hardware and software constituting the information processing system of FIG. 2 including the server 1 of FIG. FIG. 4 is a functional block diagram showing an example of a functional configuration of the server of FIG. 3 in the information processing system of FIG.

[0033] As shown in FIG. 4, in the CPU 11 of the server 1, a participant output record information acquisition unit 51, a participant relationship analysis unit 52, and a participant candidate extraction unit 53 function.

[0034] In addition, in one area of ​​the storage unit 18 of the server 1, a participant output record information DB71, a participant relationship information DB72, and a participant candidate information DB73 are provided.

[0035] The participant output record information acquisition unit 51 acquires participant output record information of participant UK in a specified project in a specified community or organization from the administrator terminal 3 (or participant terminal 2-K of participant UK if necessary), and stores it in the participant output record information DB71.

[0036] The participant relationship analysis unit 52 analyzes the relationships with other participants U1 to UN in a given project for the participant output record information, and stores information indicating the analysis results in the participant relationship information DB 72 as participant relationship information.

[0037] Based on the output record information and the relationship (participant relationship information), the participant candidate extraction unit 53 extracts participant candidates UL related to the new project in which the participant UK will participate. Information related to the extracted participant candidates UL is stored in the participant candidate information DB 73 as participant candidate information.

[0038] In this way, it becomes possible to extract potential participants UL for a new project based on the output record information of participants UK for a specific project in a specific community or organization.

[0039] The participant output record information acquisition unit 51 can also acquire participant output record information including at least text output information for the participant U K. The participant relationship analysis unit 52 can analyze the relationship with the other participants U1 to UN based on the meaning of the text output information. This makes it possible to analyze compatibility (relationships), such as whether people have similar or different ways of thinking about work, based on the meaning of the text output information, even in cases where there is no physiologically significant information in the participant output record information (for example, no change in pulse or breathing even when people are together).

[0040] The participant output record information acquisition unit 51 can acquire the participant output record information including at least the biometric output information for the participant U K. The participant relationship analysis unit 52 can analyze the relationship with the other participants U1 to UN based on the biometric output information. This makes it possible to analyze, for example, that even if two people have similar philosophies about work, their compatibility (relationship) is poor if significant physiological information is obtained from the participant output record information (for example, if being together causes a faster pulse or irregular breathing).

[0041] The higher the organizational level of the participant candidate UL related to the new project, the more the participant candidate extraction unit 53 can extract the participant candidate UL by placing emphasis on the relationship with respect to the skills of the participant candidate UL. This allows the extraction of potential participants UL to be performed with more emphasis on relationships rather than skills at higher organizational levels.

[0042] The participant candidate extraction unit 53 can extract a leader candidate for the new project based on the relationships of the participant candidate UL related to the new project with the other participants U1 to UN. This makes it possible to extract a leader candidate who will have the best relationships with other participant candidates in a new project.

[0043] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope that can achieve the object of the present invention are considered to be included in the present invention.

[0044] For example, the system configuration shown in FIG. 2 and the hardware configuration of the server 1 shown in FIG. 3 are merely examples for achieving the object of the present invention, and are not particularly limited.

[0045] In addition, the functional block diagram shown in Fig. 4 is merely an example and is not particularly limited. In other words, it is sufficient that the information processing system in Fig. 2 is provided with a function capable of executing the above-mentioned various processes as a whole, and the functional blocks and databases used to realize this function are not particularly limited to the example in Fig. 4.

[0046] Furthermore, the locations of the functional blocks and databases are not limited to those shown in FIG. 4 and may be arbitrary. For example, at least some of the functional blocks and databases arranged on the server 1 side may be provided on the participant terminal 2 side, the administrator terminal 3 side, or another information processing device (not shown).

[0047] Furthermore, the above-described series of processes can be executed by hardware or software. Furthermore, one functional block may be configured as a single piece of hardware, a single piece of software, or a combination of both.

[0048] When the series of processes is executed by software, the program constituting the software is installed into a computer or the like from a network or a recording medium. The computer may be a computer implemented with dedicated hardware. Furthermore, the computer may be a computer capable of executing various functions by installing various programs thereon, such as a server, a general-purpose smartphone, or a personal computer.

[0049] A recording medium containing such a program may be composed not only of a removable medium (not shown) that is distributed separately from the device body in order to provide the program to the user, but also of a recording medium that is provided to the user in a pre-installed state in the device body.

[0050] In this specification, the steps of describing a program to be recorded on a recording medium include not only processes that are performed chronologically according to the order, but also processes that are not necessarily performed chronologically but are executed in parallel or individually.

[0051] In summary, it is sufficient for an information processing device to which the present invention is applied to have the following configuration, and various embodiments can be adopted. That is, an information processing device to which the present invention is applied (for example, the server 1 in FIG. 1 to FIG. 4) A participant output record information acquisition unit (e.g., the participant output record information acquisition unit 51 in FIG. 4 ) for acquiring participant output record information of a participant (e.g., participant UK in FIG. 1 ) in a specific project (in a specific community or organization); A participant relationship analysis unit (e.g., the participant relationship analysis unit 52 in FIG. 4) that analyzes the participant output record information with respect to relationships with a plurality of other participants in the predetermined project (e.g., the other participants U1 to UN in FIG. 1); a participant candidate extraction unit (e.g., the participant candidate extraction unit 53 in FIG. 4) for extracting a participant candidate (e.g., the participant candidate SL in FIG. 1) for a new project in which the participant will participate, from among the multiple other participants, based on the participant output record information and the relationship; It will be enough if you have this.

[0052] In this way, it becomes possible to extract potential participants for a new project based on the output record information of participants in a specific project in a specific community or organization.

[0053] Here, the participant output record information acquisition means acquires the participant output record information including at least text output information for the participant, the participant relationship analysis means analyzes the relationship with the other participants based on the meaning of the text output information; It is possible.

[0054] This makes it possible to analyze compatibility (relationships), such as whether people have similar or different ways of thinking about work, based on the meaning of the text output information, even in cases where there is no physiologically significant information in the participant output record information (for example, no change in pulse or breathing even when people are together).

[0055] the participant output record information acquisition means acquires the participant output record information including at least biological output information for the participant; The participant relationship analysis means analyzes the relationship with the other participants based on the biological output information. It is possible.

[0056] This makes it possible to analyze, for example, that even if two people have similar philosophies about work, their compatibility (relationship) is poor if significant physiological information is obtained from the participant output record information (for example, if being together causes a faster pulse or irregular breathing).

[0057] The participant candidate extraction means can extract the participant candidate UL by placing more importance on the relationship with respect to the skills of the participant candidate, the higher the organizational level of the participant candidate related to the new project. This allows the extraction of potential participants UL to be performed with more emphasis on relationships rather than skills at higher organizational levels.

[0058] The participant candidate extraction means can extract a leader candidate for the new project based on a relationship of the participant candidate with the other participants in the new project. This makes it possible to extract a leader candidate who will have the best relationships with other participant candidates in a new project. [Explanation of symbols]

[0059] 1 server, 2, 2-1 to 2-n participant terminal, 3 administrator terminal, 11 CPU, 12 ROM, 13 RAM, 14 bus, 15 input / output interface, 16 input section, 17 output section, 18 storage section, 19 communication section, 20 drive, 30 removable media, 51 participant output record information acquisition section, 52 participant relationship analysis section, 53 participant candidate extraction section, 71 participant output record information DB, 72 participant relationship information DB, 73 participant candidate information DB

Claims

1. A participant output record information acquisition means for acquiring participant output record information of a participant in a predetermined project; A participant relationship analysis means for analyzing the participant output record information with respect to relationships with a plurality of other participants in the predetermined project; a participant candidate extraction means for extracting participant candidates for a new project in which the participant will participate from among the plurality of other participants based on the participant output record information and the relationship; An information processing device comprising:

2. the participant output record information acquisition means acquires the participant output record information including at least text output information for the participant; the participant relationship analysis means analyzes the relationship with the other participants based on the meaning of the text output information; The information processing device according to claim 1 .

3. the participant output record information acquisition means acquires the participant output record information including at least biological output information for the participant; The participant relationship analysis means analyzes the relationship with the other participants based on the biological output information. The information processing device according to claim 1 .

4. the participant candidate extraction means extracts the participant candidate UL by placing more importance on the relationship with respect to the skills of the participant candidate as the organizational level of the participant candidate in the new project increases; The information processing device according to claim 1 .

5. the participant candidate extraction means extracts a leader candidate for the new project based on a relationship of the participant candidate with the other participants in the new project; The information processing device according to claim 1 .

6. An information processing method executed by an information processing device, A participant output record information acquisition step of acquiring participant output record information of participants in a predetermined project; A participant relationship analysis step of analyzing the participant output record information with respect to relationships with a plurality of other participants in the predetermined project; a participant candidate extraction step of extracting participant candidates for a new project in which the participant will participate from among the plurality of other participants based on the participant output record information and the relationship; An information processing method comprising:

7. On the computer, A participant output record information acquisition step of acquiring participant output record information of participants in a predetermined project; A participant relationship analysis step of analyzing the participant output record information with respect to relationships with a plurality of other participants in the predetermined project; a participant candidate extraction step of extracting participant candidates for a new project in which the participant will participate from among the plurality of other participants based on the participant output record information and the relationship; A program for executing control processing including:

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