Token transmission and reception system

Abstract

To provide a system capable of analyzing characteristics of an organization on the basis of the type and number of tokens traded in the organization.SOLUTION: A server unit included in a token transmission and reception device performs cluster analysis on meta tokens transmitted and received in an organization on the basis of a value indicating a correlation, and classifies users in the organization into a plurality of clusters as collections of users having similar characteristics, so as to associate each cluster with one of a plurality of labels.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a system for calculating user characteristics by comparing the amounts of praise cards sent and received. More specifically, it relates to a meta-card transmission / reception system in which a plurality of tokens each assigned a meaning for each organization are transmitted and received by users belonging to the organization, and by statistically analyzing this, users with similar characteristics and users with complementary characteristics are found.

Background Art

[0002] To activate an organization, there is a system in which users belonging to the organization communicate with each other. Specifically, it is known that users belonging to an organization exchange a plurality of types of virtual coins with each other, record and classify the number of exchanged virtual coins for each type, and display them according to the number.

Summary of the Invention

Problems to be Solved by the Invention

[0003] However, the above existing system only exchanges a plurality of types of virtual coins with each other, records and classifies the number of exchanged virtual coins for each type, and displays them according to the number, and it is not shown that the coins thus recorded are used for any analysis. Unlike the existing system, the present invention aims to provide a system that can analyze the characteristics of an organization, etc., based on the types and numbers of tokens exchanged within the organization, and find users with similar characteristics and users with complementary characteristics.

Means for Solving the Problems

[0004] To solve the above problems, the token transmission / reception device according to the first invention of the present application is A correspondence relationship between a plurality of tokens each assigned a meaning for each organization and a plurality of meta-tokens prepared in advance and used across organizations, and a database that records values indicating the correlation between the plurality of factors obtained as a result of factor analysis and each meta-token. A transmission / reception device used by a plurality of users belonging to the organization, wherein the user transmits a token to another user or receives a token transmitted from another user. A server device that can access the database, controls the transmission and reception of tokens, records data related to the transmission and reception of the tokens in the database together with data related to the transmission and reception of the corresponding meta-tokens, and performs an analysis of the correlation degree between the factors and the users. A token transmission / reception system comprising: The server device performs cluster analysis based on the type and number of meta-tokens transmitted and received within the organization, classifies the users within the organization into a plurality of clusters that are aggregates of users having similar characteristics, and associates any one of them.

[0005] A second invention is characterized in that, in the first invention described above, each of the plurality of tokens is accompanied by image data that allows a user to identify the type of the token and seems like exchanging cards.

[0006] A third invention is characterized in that, in the second invention described above, when exchanging cards, the sender can attach a message.

Advantages of the Invention

[0007] The server device performs cluster analysis based on the value indicating the correlation relationship for the meta-tokens transmitted and received within the organization, and classifies the users within the organization into a plurality of clusters that are aggregates of users with similar characteristics. By doing so, not only can it be seen that users belonging to the same cluster have similar characteristics, but users belonging to another cluster with a large distance between clusters can be considered as complementary users.

Brief Description of Drawings

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Mode for Carrying Out the Invention

[0009] FIG. 1 is a block diagram showing the overall hardware configuration of a system for calculating the characteristics between individual companies and between an individual company and the whole while ensuring confidentiality according to an embodiment of the present invention. As will be described later, with the system shown in FIG. 1, a plurality of users belonging to a company or organization such as a company can exchange praise cards to praise each other.

[0010] Here, the praise card is an example of what is called a "token". Generally, a token refers to something that can be transferred among users with specific information or value attached. In the present embodiment, in order to enable users to use tokens as if they were actually exchanging cards with some meaning, the tokens exchanged are called praise "cards", but the term "card" is merely an example, and it can be called a coin, money, points, or anything else according to the embodiment. Also, the meta-cards described later can generally be called meta-tokens.

[0011] As shown in Fig. 1, the hardware configuration of this embodiment has a two-layer structure, including the part of the blockchain network 10 in the lower layer (the first layer) and the part other than the blockchain network 10 shown in the upper layer (the second layer) thereof. The blockchain network 10 in the first layer includes a number of blockchain (BC) servers 11 (111, 112, 113, ···) and BC state databases (BC state DBs) 12 (121, 122, 123, 124, ···) connected to the respective BC servers 11. In the second layer, an application programming interface (API) server 13 (an example of a "server device") and a database 14 connected thereto are provided, and the software necessary for this system is installed therein and the necessary data is stored. Further, a plurality of users of this system belonging to the enterprise or organization that has introduced this system access this system through a PC or a smartphone 16 (an example of a "transmission / reception device").

[0012] In addition, an administrator 17 belonging to an enterprise or organization can access the API server 13 via the management web screen 19 using a PC browser and perform necessary management operations. The management operations include editing / registering praise cards, registering users, displaying the transmission / reception history of praise cards, and the like.

[0013] Assuming that Company X is the entity providing this system, Company X constructs an environment using, for example, a specific cloud computing service of Microsoft as the second layer and manages data there. In Figure 1, the API server 13 and the management web screen 19 are servers managed by Company X. Some areas within the API server 13 are prepared for Company A, Company B, Company C... which actually receive system provision from Company X and use this system with their company employees as users. That is, the servers of Company X manage the systems provided to each of Company A, Company B, Company C... on the cloud. The administrator 17 at the upper left of Figure 1 is an administrator of either Company A, Company B, Company C..., and the two users 15 shown below are also users of the same organization. Figure 1 shows that the user 15 is using a smartphone 16, but the user 15 can also use a PC.

[0014] Through the application of the API server 13, the database 14 manages the content of the praise cards and the information of the users. When the user 15 conducts praise card exchanges using a PC, it is through a browser. When the user 15 conducts praise card exchanges using a smartphone, a dedicated praise card app is installed and used. There are multiple types of apps for users to conduct praise card exchanges, which can be prepared according to the platforms that users usually use, and can be accessed and downloaded from the download site in advance and installed.

[0015] Both the interface of the PC browser and the praise card app of the smartphone 16 directly access the API server 13 and communicate via the network. The management web server creates HTML data based on the data recorded in the API server and sends it to each user's smartphone 16 to display a screen based on that HTML data on the smartphone.

[0016] When an actual user sends a compliment card to another user, data on who sent what kind of compliment card to whom is sent to the API server 13. Then, the API server 13 records in the database 14 the specific names of the person who actually sent the compliment card and the person who received the compliment card, the sent compliment card, and the accompanying message. Further, the user IDs of the sender and the receiver with the organization names to which these people belong removed, the information on who sent to whom, and the ID of the meta-card corresponding to the sent compliment card are sent to the BC server 11 via the blockchain API. And the BC server 11 on the blockchain records the received information.

[0017] The BC state DB 12 is a database managed by the BC server. Here, the BC server uses functions such as "token issuance" and "token transfer" to write to the BC state DB. As a result, this information is registered in the blockchain (BC). "Token information" has multiple blockchain servers on the BC server network, and the contents of the databases hanging on each BC server are all exactly the same. So once the BC server uses functions such as "token issuance" and "token transfer" to write to the BC state DB, it is transferred to the databases of all BC servers connected in the network, and the same data is held.

[0018] Figure 2 shows an overview of the data stored in the database exchanged between each of the hardware shown in Figure 1. In Figure 2, the lower row shows the data stored in the blockchain (BC) state database (BC state DB) 12, and the upper row shows the data stored in the API server 13.

[0019] Next, an explanation will be given of the theoretical background for the possibility of enhancing the engagement of users with the company or organization to which they belong by sending praise cards to each other. The system of this embodiment is based on the Success Loop Model of Daniel Kim of the Massachusetts Institute of Technology as this theoretical background. FIG. 3 schematically shows this Success Loop Model.

[0020] In FIG. 3, the starting point is the phase of "quality of relationship". This is a phase in which the density of communication is increased through conversation and interaction, and feelings such as a sense of camaraderie, unity, assistance, and cooperation are fostered. It can also be said to be the groundwork (warming up the scene) for running the Success Loop Model. If this phase is neglected, it becomes difficult to generate the subsequent success loop of "quality of thinking" → "quality of action". Also, if starting from the "quality of result" instead of the "quality of relationship", there is a risk of falling into a cycle of failure where there is excessive focus on numerical goals (quality of result), leading to confrontation and friction within the organization and the prevalence of blaming others.

[0021] When dialogue and cooperation increase due to an improvement in the "quality of relationship", the communication density within the organization increases, and at the same time, conversations with people and organizations that have had few contacts so far increase. This increases the opportunity to come into contact with "distant knowledge" such as different perspectives, values, and ways of thinking, and deep thinking (introspection) such as why there is a gap with one's own way of thinking and whether one has only been able to see things in a short-sighted manner begins to emerge. This is also in line with the idea of "The Strength of Weak Ties" proposed by sociologist Mark Granovetter in 1973. "The Strength of Weak Ties" means that information from strong connections (for example, one's usual organization) is mostly predictable, but information from weak connections (for example, an organization that has had few contacts so far) can give new discoveries that one has not noticed. Since the "quality of thinking" is improved by firmly accepting "distant knowledge", an attitude of listening to the other person's story is important, and a virtuous cycle of problem discovery / problem solving and proposal of new ideas is generated starting from listening.

[0022] When the "quality of thinking" improves, specific actions begin as one tries to put into practice new ideas discovered by being liberated from homogenized thinking. This is the "quality of action". To further improve this "quality of action", two points are important: (1) having ownership and (2) providing opportunities and a place to act. "Having ownership" in the process of improving the quality of thinking means that by coming into contact with "distant knowledge" such as different perspectives, values, and ways of thinking from one's own, and reflecting on one's own values (introspecting), it is synonymous with clarifying what one should do (what one wants to do) and progressing towards making it one's own. It is not about feeling being forced, but rather how much one has made things one's own that greatly affects the quality of action. Next, "providing opportunities and a place to act" means that even if one has ownership through introspection, without a place to practice, the enthusiasm will gradually fade. Therefore, providing a timely place, combined with "(1) having ownership", can be said to be the two wheels for improving the quality of action.

[0023] Since the improvement of the "quality of results" is achieved by improving the "quality of relationships → thinking → action", we do not adopt the idea of only improving the quality of results. By enhancing the density of communication (quality of relationships) through conversations and exchanges, introspection progresses by coming into contact with different values and ways of thinking from one's own, enabling one to make things one's own (quality of thinking), and having ownership to continue challenging (quality of action), one can approach the results set as the desired image. Through this successful experience, we can have confidence that our efforts were not in vain, and furthermore, a cycle of success of increasing communication, having conversations, and having ownership to challenge will circulate. The above are the characteristics of the success cycle model.

[0024] Next, referring to FIG. 4, the praise cards actually exchanged between users belonging to each organization and the meta-cards prepared in advance separately will be described. In the middle of FIG. 4, in the column of the meta-card 100 written "Classification by Social Psychological Research" below, 15 types of meta-cards from "Problem Discovery and Solution Awareness" to "Overall Perspective" are shown. In the column of the praise card 101 of the enterprise / organization written "Design for Each Enterprise / Organization" below on the left side thereof, 12 types of praise cards from "Break through" to "Nice Support" are shown. On the right side, in the personal characteristics 102 written "Characteristic Analysis by Statistical Survey" below, 7 characteristics such as "Creativity" are listed.

[0025] FIG. 5(a) shows a table explaining what each meta-card shown in FIG. 4 is like. As described above, these 15 types of meta-cards are derived from social psychological research, and even if the companies or organizations (Company A, Company B, Company C...) introducing the system of this embodiment are different, these 15 types of meta-cards are commonly used. FIG. 5(b) shows an example of which phase of the aforementioned success cycle model these 15 types of meta-cards correspond to. The significance of associating each of these meta-cards with the phases of the success cycle model will be described later. On the other hand, the system of the praise cards 101 of each enterprise / organization shown in FIG. 4 can be independently designed by each enterprise or organization according to the characteristics of the enterprise or organization when introducing the system of this embodiment. Therefore, if the companies or organizations introducing the system of this embodiment are different, the system of praise cards prepared will naturally be different. Note that the association between each meta-card shown in FIG. 5(b) and the phases of the success cycle model is merely an example and can vary depending on the design of the system.

[0026] And when each enterprise / organization designs the system of praise cards, each of the praise cards is associated with one of the 15 types of meta-cards. In FIG. 4, a plurality of arrows connecting each of the praise cards 101 with one of the 15 types of meta-cards 100 indicate which praise card is associated with which meta-card.

[0027] Users belonging to a company or organization that has introduced the system of this embodiment send each other any of the praise cards 101 independently designed by their own company. In practice, each user communicates via an app or software on a device such as their own smartphone or PC.

[0028] Figure 6 vividly shows a situation where praise cards are actually exchanged in a certain company or organization. In the example of Figure 6, as praise cards, "Gold Card" (the highest-level praise) 1031, "Great Direction" (which gave direction to a stuck meeting or thinking) 1032, "Good Connection" (which connected to a person who contributed to idea creation) 1033, "Nice Idea" (which came up with an idea that one couldn't think of) 1034, and "Good Job" (praising a person who worked hard) 1035 are prepared. Users 1041, 1042, 1043, and 1044 belonging to this company or organization are sending and receiving these prepared praise cards to and from each other. And when sending, as described above, messages as shown in speech bubbles 1051, 1052, 1053, and 1054 can be attached to the praise card and sent.

[0029] The actual way to send a compliment card is as follows: First, in the app or software, select the person to whom you want to send the compliment card from, for example, the list in the app. Then, select the type of compliment card you want to send from the list of types. Write a text message if necessary, and then send it. The action of the person for which the compliment card is being sent is not specifically displayed. However, if the sender describes what they are complimenting about in the message, for example, while considering what actions of the recipient they are complimenting, the person who receives the compliment card can understand what they are being complimented on by looking at the attached message. The smartphones of the users who send compliment cards list the compliment cards they have sent, and the smartphones of the users who receive compliment cards list the compliment cards they have received. The user who receives the compliment card will have received it by opening the received compliment card.

[0030] In this way, when users send compliment cards to each other, for example, by receiving a compliment card from another user, they may gain confidence in their actions or get a boost for their next actions. They may also be able to understand their own characteristics that they were not aware of. Additionally, when users belonging to companies or organizations send compliment cards to each other, the cycle of the success model can circulate, increasing the possibility of leading to the success of the company or organization, and further contributing to enhancing the engagement with the company or organization.

[0031] When a user sends a compliment card to another user, it can be considered that one vector is created. Therefore, when a large number of users belonging to a certain company or organization send compliment cards to each other, a large number of vectors are created, and it can be displayed as a network diagram connecting those vectors with arrows. And based on this network diagram, various analyses such as the density of the arrows and the number of cards can be performed. The compliment card is positioned as a tool for enhancing the "quality of relationships", "quality of thinking", "quality of actions", and "quality of results" in the above-mentioned success cycle model. A company or organization that introduces the system of this embodiment can obtain information about which of the four phases of "quality of relationships", "quality of thinking", "quality of actions", and "quality of results" its own company is in by analyzing the data of the compliment cards exchanged among the users belonging to the company or organization as described below.

[0032] Figure 7 shows a block diagram showing the overall hardware configuration of the system shown in Figure 1 from the perspective of a user who uses this system. As described above, the hardware configuration has a two-layer structure, which is the part of the blockchain network 10 in the lower layer (first layer) and the part other than the blockchain network 10 shown in the upper layer (second layer) thereof. However, even when the area is divided with focus on the user, it has a two-layer structure as shown in Figure 7. The first layer of Figure 7 is an area for managing personal relationships and common social values regardless of the company or organization to which the user belongs, while the second layer is an area for actually exchanging compliment cards within a closed relationship in units of each company or organization to which the user belongs.

[0033] Figure 8 shows the division of information areas from the perspective of information to be publicly disclosed to society (information in the open area) and information that is shared within an enterprise or organization to which a user belongs but is not publicly disclosed outside (information in the closed area). And for the management of information in this open area, blockchain technology is used. In this way, the data management method has a two-layer structure. At the second layer, the exchange of praise cards is managed in a closed area for each enterprise or organization. The first layer uses blockchain technology to manage information across enterprises that use praise cards and discloses it to society.

[0034] As shown in Figure 8, for the first layer of the two layers, only the types of meta-cards sent from User A to User B are recorded in a form that removes personal information and company information. Here, Users A and B are represented only by their internal user IDs. In this way, the "sender ID" and "recipient ID" are used to represent which user ID sent to which user ID, and which types of meta-cards were sent are recorded.

[0035] As described above, the "praise card" is designed based on the values and corporate philosophy of each enterprise. On the other hand, the 15 types of "meta-cards" are more universal than the "praise cards" derived from social psychology research as described above. When designing the praise cards for each enterprise, it is associated with which of these meta-cards each enterprise's praise card corresponds to. When actually creating praise cards for each company, the titles of the 15 types of meta-cards shown in Figure 5(a) and an explanation of what kind of praise each meta-card is for are provided, so the company's praise cards can be associated with the meta-cards by referring to this.

[0036] In Fig. 8, when looking at the first - layer data, it is possible to view across companies which of the 15 types of meta - cards were sent, but it is not possible to know specifically which company's it is, who sent the card, or the specific person to whom it was sent. However, it is possible to compare what types of meta - cards were exchanged among Company A, Company B, and Company C, and by doing so, analyze the characteristics of the relationships between employees of each company. At the second layer, the actual person and the actual organization to which the person belongs are identified, and it is possible to know within the closed environment of each company or organization what kind of praise cards and messages were sent.

[0037] Blockchain is a public thing that anyone can view, and the purpose of doing so is to ensure transparency. For example, if Company A, which uses the system of this embodiment, exchanged 100,000 praise cards in one year, each of them is recorded on the blockchain. Since the content of the blockchain can be viewed by a third party as described above, anyone can confirm that Company A actually exchanged 100,000 praise cards in one year. And, since the blockchain has the characteristic that once data is recorded, the data cannot be modified or tampered with, companies cannot modify the once - written data to suit themselves later.

[0038] Also, when Company A, Company B, Company C... send praise cards, information about common meta - cards is recorded in the blockchain network. Therefore, by looking at the blockchain, it is possible to compare and analyze the necessary information about Company A, Company B, Company C... This is also another purpose of utilizing the blockchain.

[0039] Regarding the blockchain, as shown in FIG. 1, each of the multiple blockchain (BC) servers 111, 112, 113, ··· is also referred to as a node, and they have the same structure where the information held by each node is exactly the same. The server managed by Company X that provides the system of this embodiment is also included in the blockchain network. However, when other servers transfer (data) to the public blockchain, multiple unspecified companies will manage the data of this blockchain. For this reason, it becomes an environment where it is unknown which company or who has the server that manages the blockchain hardware and how it is managed. Regarding the blockchain, Company X that provides the system constructs an environment using, for example, a specific cloud computing service of Microsoft as described above at the second layer and manages data there. However, it is impossible to know what kind of cloud server other companies are using or whether they are using on-premises servers.

[0040] Regarding FIG. 8, further explanation is as follows. In the closed area, the card master information includes "Card ID", "Meta Card ID", "Community ID", "Card Name", "Card Description", and "Card Image". "Card ID" is the ID of each commendation card created for each company or organization. "Meta Card ID" is the ID indicating which one of the 15 types of meta cards associated with the commendation card. "Community ID" is the ID for each company or organization indicating which company or organization is using it. "Card Name" is the name of the card. "Card Image" is the image data depicted on the commendation card and can be changed for each company.

[0041] "Community Information" is the part that records information about companies and organizations, and includes "Community ID", "Community Name", and "Community Information". "Community ID" is the same as that in the master information, "Community Name" is the name of the company or organization using the praise card, and information about the company is recorded in "Community Information". "User Information" is the part that records information about each individual user, and "User ID", "User Name" (the person's own name), "Affiliated Community ID" is the ID of the company to which the "Community Information" belongs, and the email address is the email address of each user.

[0042] The information written in the above "Closed" area is not written to the blockchain network. The information written to the blockchain network is the information in the "Open" area. As described above, in the "Blockchain Transmission / Reception Record", "From ID", "To ID", "Meta Card ID", and "Card ID" are written. Also, in the "Meta Card Master Information", not only the "Meta Card ID" but also the "Meta Card Name" and "Meta Card Explanation" are managed.

[0043] Next, in the companies and organizations that use the system of this embodiment, the analysis of the actually exchanged praise cards will be described. As described above, the system of this embodiment is based on the success cycle model proposed by Mr. Daniel Kim. However, until now, it has not been possible to visualize in which phase of the model the company or organization is. In this embodiment, as shown in FIG. 5(b), each of the 15 types of meta cards is associated with one of the phases of "Quality of Relationships", "Quality of Thinking", and "Quality of Action" in the success cycle model. The description of what each meta card shown in FIG. 5(a) is like is made public on the blockchain, but the association between each meta card shown in FIG. 5(b) and each phase of the success cycle model is not managed on the blockchain and is held inside the analysis software and used for calculation.

[0044] Suppose hundreds of employees of a certain company exchange compliment cards with each other. By examining how many corresponding meta-cards are exchanged, various analyses can be conducted. For example, if 80% of the exchanged cards are compliment cards corresponding to the "quality of thinking" meta-card, or if it is found that more compliment cards corresponding to the "quality of action" are being used, it can be understood, roughly speaking, at which phase of the success cycle model the communication is taking place within that company. That is, it becomes possible to visualize at which phase of the success cycle model that company or organization is.

[0045] Figure 9 shows an example of the results of analyzing the characteristics of three companies or organizations, Company A, Company B, and Company C, by aggregating the exchange of compliment cards. As shown in Figure 4, the compliment cards designed by each company are associated with 15 types of meta-cards, and each meta-card is associated with one of the phases of the success cycle model based on the table in Figure 5(b).

[0046] Therefore, by aggregating the compliment cards exchanged over a certain period, it is possible to aggregate for each of Company A, Company B, and Company C how many of the 15 types of meta-cards shown on the horizontal axis of Figure 9 were exchanged. Referring to Figure 9 obtained in this way, for example, it can be seen that Company A sends relatively many meta-cards such as "enthusiastic actions" and "cultivation of unity", but does not send any meta-cards related to "desire to achieve goals" at all, and the characteristics of each company can be visually understood. Also, even if the compliment cards are created according to the specific circumstances of each company or organization, by associating and analyzing them with more universal meta-cards and displaying Company A, Company B, and Company C side by side as in Figure 9, the characteristics of multiple companies or organizations can be compared with each other.

[0047] As described above, when users belonging to a company or organization send praise cards to each other, the chain of the success cycle model circulates, leading to the success of the company or organization, further strengthening organizational engagement, and moreover, for users belonging to the company or organization using the system of this embodiment, it is possible to derive the characteristics of each individual user, and to find users who are characteristically similar and users who are characteristically complementary to each user. This will be described below.

[0048] As a preparatory step for that, for a sufficient number of employees belonging to a certain company to derive socially general characteristics, among the 15 types of meta-cards shown in Fig. 5(a), an example of 5 meta-cards that the user thinks are important in doing their job is selected and a questionnaire is conducted asking them to choose. Then, based on the results, a table for calculating points given to the sender or receiver each time a meta-card is sent or received is created using a well-known method called cluster analysis.

[0049] An example of creating this table is as follows. First, each person who participated in the questionnaire is classified into 7 factors (corresponding to the numbers on the horizontal axis) shown in Fig. 10. However, this is just an example, and the number of factors can be changed according to the implementation mode. Also, the numerical values in the table of Fig. 10 have been deleted except for some. And if, for example, there are 49 people belonging to the first factor, and among them 71% selected "3 Future orientation and visioning ability", 63% selected "14 Idea sending and proposal ability", and 55% selected "6 Enthusiastic action". Although not shown in the table of Fig. 10, similar numbers are required for other parts of the table. For the 7 classified factors, as an example, labels such as "Creativity", "Honesty", "Dialogue ability", "Execution ability", "Overview ability", "Transformation ability", and "Leadership ability" are assigned to each from 1 to 7.

[0050] Adding the numbers on the vertical axis of the first factor, since one person has selected 5 meta-cards, the total is 500%. The same applies to other factors. In the table of Figure 10, each number included in the gray column from the upper left to the lower right is the largest percentage value in each row. Also, Figure 11 is the result of recalculating so that the sum of the 7 numbers in the same row of Figure 10 is 100 without changing the ratio of the 7 numbers. Regarding Figure 11, although only some numbers are shown, the sum of the numbers in the same row for each meta-card is 100. This table of Figure 11 becomes the table for calculating the points given to the sender or receiver in relation to the corresponding meta-card when praise cards are sent and received. Note that the basic table of Figure 11 is obtained from the table of Figure 10 for the convenience of calculation, but point calculation may also be performed using the table of Figure 10.

[0051] Figure 11 is a table showing the correlation between each meta-card and each factor in %. For example, if user A sends a praise card corresponding to the first meta-card of "awareness of problem discovery and solution" to user B, the system of this embodiment internally adds 0.14 points to "creativity", 0.19 points to "honesty", 0.02 points to "communication ability", 0.20 points to "execution ability", 0.12 points to "overview ability", 0.13 points to "transformation ability", and 0.20 points to "leadership ability" as B's share. When such calculations are performed every time a praise card is sent over a certain period, the points for each of these 7 factors for user B are accumulated. As a result, to some extent, the personal characteristics of user B can be known depending on how many points are obtained for each factor.

[0052] Fig. 12 shows an example of an image of a smartphone displaying an evaluation of one's own characteristics obtained by performing the above point calculation over a certain period. In the upper right side slightly above the center of the screen, it is displayed as "1 Interaction ability 28%", "2 Overlooking ability 23%", "3 Creativity 17%", "4 Honesty ability", "5 Execution ability 9%", "6 Others 11%" from top to bottom. This represents the person's characteristics in percentages, and in the pie chart on the left side, the arc lengths corresponding to the ratios of the respective characteristics are color-coded and displayed. In the case of this person, it can be seen that the interaction ability shows the highest ratio. By looking at this, based on the praise cards sent by others, it is possible to visualize what kind of things one has been recognized for by others. Similarly, the praise cards sent by oneself to others can be displayed in the same way, thereby visualizing what kind of characteristics one values more in others.

[0053] As described above, based on the praise cards received from other users belonging to the same company or organization, it becomes possible to visualize what kind of things one has been recognized for by others, or what values one cherishes. This visualized information also serves as a trigger to notice the "uniqueness of oneself" recognized by others, and it also becomes the driving force to demonstrate that uniqueness in the workplace or the like as a value.

[0054] Subsequently, an explanation will be given regarding finding users who are similar in characteristics and users who are complementary in characteristics to each user. For this, clustering analysis methods such as the K-means method and hierarchical clustering are used. Fig. 13 is a diagram for explaining this method. In Fig. 13, taking the vertical axis as a meta-card such as "awareness of problem discovery and solution" and the horizontal axis as a meta-card such as "desire to achieve goals", and aggregating and plotting based on the table in Fig. 11 how many of these meta-cards have been sent, a graph as shown in Fig. 13, for example, can be obtained. In Fig. 13, each point corresponds to one user who has sent or received a praise card.

[0055] Note that although FIG. 13 shows only two axes, the vertical axis and the horizontal axis, for simplicity, there are actually 15 types of meta cards, and since each has transmission and reception, a virtual space of a total of 30 axes (30 dimensions) can be assumed. That is, plots as shown in FIG. 13 are made in a 30-dimensional space. And, for example, when using the K-means method, by designating, for example, "7" as the number of clusters, seven clusters are formed in this 30-dimensional space. Further, by performing distance calculation for each plot belonging to each cluster, the center (centroid) of that cluster is obtained.

[0056] As a result, all the plotted points, that is, all users, are classified into one of the seven clusters. Each of these seven clusters is labeled with one of "creativity", "honesty", "dialogue ability", "execution ability", "overview ability", "transformation ability", "leadership ability" under the individual characteristics 102 shown on the right side of FIG. 4.

[0057] By doing so, it is possible to know which cluster each user belongs to. And when displaying a list of users belonging to the same cluster, for example, the list can be made in ascending order of the distance from the centroid. Users belonging to the same cluster can be considered to have similar characteristics. As a result, for example, when one has to skip work for some reason, the possibility of smoothly continuing the work increases by filling in users with similar characteristics to oneself.

[0058] On the one hand, it can be considered that users belonging to different clusters have different characteristics. In particular, users belonging to the clusters with the longest distances between centroids can be considered to have characteristics that complement each other, and thus can be called "complementary clusters". Therefore, for example, when starting a new project and wanting to gather diverse talents with different characteristics, it becomes possible to gather talents with a wide range of characteristics by gathering talents belonging to different clusters with far distances between their centers.

[0059] As shown in FIG. 12, it is possible to display users with characteristics similar to oneself and users in a complementary relationship with oneself. That is, at the lower part of the smartphone screen, other users are shown in two levels. The upper ones are users with characteristics similar to oneself, and the lower ones are users in a complementary relationship with oneself. In this way, it is possible to visualize users with characteristics similar to oneself and users in a complementary relationship with oneself.

Description of Signs

[0060] 10 Blockchain Network 11 Blockchain (BC) Server 12 BC State Database 13 Application Programming Interface (API) Server 14 Database 15 User 16 Smartphone 19 Management WEB Screen 100 Meta Card 101 Praise Card 102 Personal Characteristics

Claims

1. A correspondence relationship between a plurality of tokens each assigned a meaning for each organization and a plurality of meta-tokens prepared in advance and used across organizations, and a database that records values indicating the correlation between the plurality of factors obtained as a result of factor analysis and each meta-token, A transmission / reception device used by a plurality of users belonging to the organization, wherein the user transmits a token to another user or receives a token transmitted from another user, A server device that can access the database, controls the transmission and reception of tokens, records data related to the transmission and reception of the tokens in the database together with data related to the transmission and reception of the corresponding meta-tokens, and performs an analysis of the correlation degree between the factors and the users, A token transmission / reception system comprising: The server device performs cluster analysis on the types and numbers of meta-tokens transmitted and received within the organization, classifies the users within the organization into a plurality of clusters that are aggregates of users with similar characteristics, and associates any one of the plurality of labels with each cluster. Token transmission / reception system.

2. The token transmission / reception system according to claim 1, wherein each of the plurality of tokens is accompanied by image data that allows a user to identify the type of token at a glance and appears as if cards are being exchanged.

3. The token transmission / reception system according to claim 2, wherein the sender can attach a message when exchanging cards.

Images