Information processing apparatus, information processing method, and program

Abstract

To suitably linking a content provider to a consumer in a virtual space.SOLUTION: An information processing apparatus includes an information acquisition section that acquires avatar information indicating attributes of an avatar for each of a plurality of avatars and acquires content provider information indicating attributes of a content provider for each of a plurality of content providers. The information processing apparatus includes an estimation section that estimates a degree of relevance between the avatar and the content provider on the basis of the avatar information and the content provider information. The information processing apparatus includes a consent reception section that receives, from a user, a consent to disclose personal information of the user corresponding to the avatar to the content provider with the degree of relevance with the avatar of not less than a threshold value. The information processing apparatus includes a disclosure section that discloses the personal information of the user to the content provider in a case where the consent reception section receives the consent.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] For example, in a virtual space constructed on the Internet by computers, such as a metaverse, content including advertisements is provided. Users enter the virtual space in the form of, for example, an avatar. The avatar performs actions that mimic the actions of the user.

[0003] Patent Document 1 describes tracking the actions of an avatar that has viewed an advertisement and providing information about the tracked avatar actions to an advertiser. Patent Document 1 also describes performing data mining and profiling to determine predefined likes and dislikes, geographic location, language, and other attribute information of the user corresponding to the avatar. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Special Publication No. 2010-535362 Summary of the Invention [Problem to be solved by the invention]

[0005] In recent years, with the advancement of virtual space-related technologies, the advertising business in virtual space has begun to attract attention. There is a demand for the development of technology to optimize the content of advertisements in virtual space.

[0006] However, in recent years, protection of personal data and privacy has become stricter, as evidenced by the enactment of the General Data Protection Regulation (GDPR) in Europe in 2016. This makes it difficult to obtain user attribute information.

[0007] Therefore, an object of the present disclosure is to provide a technology that optimally connects content providers and consumers in a virtual space. [Means for solving the problem]

[0008] an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; Including, An information processing device is provided.

[0009] The computer, acquiring avatar information indicating attributes of each of the plurality of avatars, and acquiring content provider information indicating attributes of each of the plurality of content providers; estimating a degree of association between the avatar and the content provider based on the avatar information and the content provider information; receiving consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; If the consent acceptance unit accepts the consent, the personal information of the user is disclosed to the content provider. A method for processing information is provided.

[0010] On the computer, an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; To function as, Programs are offered. [Effects of the Invention]

[0011] According to the present disclosure, content providers and consumers can be suitably connected in a virtual space. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a schematic block diagram illustrating an example of a configuration of an information processing device according to the present disclosure. [Figure 2] 1 is a flowchart illustrating an example of an information processing method according to the present disclosure. [Figure 3] 1 is a schematic block diagram illustrating an example of a configuration of an information processing system according to the present disclosure. [Figure 4] 1 is a flowchart illustrating an example of an information processing method according to the present disclosure. [Figure 5] FIG. 10 is a schematic block diagram illustrating another example of the configuration of an information processing system according to the present disclosure. [Figure 6] FIG. 1 is a block diagram illustrating an example of a configuration of a computer according to the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0013] (Embodiment 1) An example of the configuration of an information processing device 100 according to the present disclosure will be described below with reference to Fig. 1. The information processing device 100 includes an information acquisition unit 101, an estimation unit 102, an acceptance acceptance unit 103, and a disclosure unit 104.

[0014] The information acquisition unit 101 acquires avatar information indicating the attributes of each of a plurality of avatars, and also acquires content provider information indicating the attributes of each of a plurality of content providers.

[0015] The estimation unit 102 estimates the degree of association between the avatar and the content provider based on the avatar information and the content provider information.

[0016] The consent receiving unit 103 receives consent from a user to disclose personal information of the user corresponding to the avatar to a content provider whose degree of association with the avatar is equal to or greater than a threshold value.

[0017] If the consent receiving unit 103 receives consent, the disclosure unit 104 discloses the user's personal information to the content provider.

[0018] 2 is a flowchart showing an example of an information processing method according to the present disclosure. First, the information acquisition unit 101 acquires avatar information indicating the attributes of each of a plurality of avatars, and acquires content provider information indicating the attributes of each of a plurality of content providers (S100). Next, the estimation unit 102 estimates the degree of association between the avatar and the content provider based on the avatar information and the content provider information (S110). Next, the consent acceptance unit 103 accepts consent from the user to disclose personal information of the user corresponding to the avatar to content providers whose degree of association with the avatar is equal to or greater than a threshold (S120). Next, if the consent acceptance unit 103 accepts consent, the disclosure unit 104 discloses the user's personal information to the content provider (S130), and the process ends.

[0019] According to the above configuration, content providers and users (consumers) can be suitably connected in a virtual space.

[0020] (Embodiment 2) Next, with reference to FIG. 3, an example of the configuration of an information processing system 1 according to the present disclosure will be described. The information processing system 1 suitably connects users corresponding to avatars entering a virtual space with content providers. Here, the virtual space is a virtual three-dimensional space constructed by a computer on a network such as the Internet. Specifically, the virtual space is generated by a computer and represented using three-dimensional computer graphics. An example of a virtual space is the metaverse. Users enter the virtual space in the form of, for example, an avatar. The avatar performs actions that mimic the actions of the user. The avatar is also generated by a computer and represented using three-dimensional computer graphics.

[0021] In the following explanation, the metaverse will be used as an example of a virtual space. Information processing system 1 shown in Fig. 3 includes a user terminal 2, a metaverse operating system 3, an advertisement sending system 4, and an advertisement distribution system 5. User terminal 2, metaverse operating system 3, advertisement sending system 4, and advertisement distribution system 5 are capable of communicating with each other via network N. The number of user terminals 2 provided in information processing system 1 need only be equal to or greater than the number of avatars participating in the metaverse.

[0022] The user terminal 2 is a smartphone, a personal computer (PC), a virtual reality (VR) goggles, or the like used by the user. The user terminal 2 may be equipped with a camera that captures the user's actions. The user terminal 2 may also be equipped with various sensors that measure the user's line of sight, heart rate, brain waves, and the like.

[0023] The metaverse operation system 3 builds a metaverse on the network N and operates the metaverse. The metaverse operation system 3 includes a storage device 6. The storage device 6 stores user information 7 and avatar information 8 for each of multiple users participating in the metaverse.

[0024] User information 7 is information indicating the attributes of the corresponding user. User attributes typically include the user's name, address, phone number, gender, age, occupation, annual income, financial assets, family structure, preferences, hobbies, etc. Therefore, user information 7 can also be considered the personal information of the corresponding user. Hereinafter, the user's personal information will also be referred to simply as user information. A user's personal information has multiple disclosure levels that define the scope of disclosure. For example, if there are three disclosure levels that define the scope of disclosure of a user's personal information, the disclosure scope of disclosure level 1, which has the narrowest disclosure scope, consists of the user's preferences and hobbies. The disclosure scope of disclosure level 2, which has the next narrowest disclosure scope, consists of the user's preferences, hobbies, and gender. The disclosure scope of disclosure level 3, which has the widest disclosure scope, consists of all of the user's name, address, phone number, gender, age, occupation, annual income, financial assets, family structure, preferences, and hobbies.

[0025] Avatar information 8 is information indicating the attributes of the corresponding avatar. Avatar information 8 can also be considered information that can be collected by other avatars participating in the metaverse. In other words, avatar information 8 is also public information available to any user participating in the metaverse. Avatar attributes typically include the avatar's appearance, speech content, and chat content. Avatar attributes may also include avatar action information in the metaverse. Avatar action information typically includes the avatar's field of view movement, avatar's line of sight movement, avatar's position, avatar's movement trajectory, avatar's movement speed, etc. The avatar's field of view is the range from the center of the avatar's face to a certain angle to the left and right. The avatar's line of sight is the forward direction in which the center of the avatar's face is facing. Therefore, the amount of information in avatar information 8 typically increases as the corresponding avatar becomes more active in the metaverse.

[0026] The advertisement transmission system 4 generates content including various advertisements that can be provided in the metaverse (hereinafter simply referred to as “advertising content”) and transmits (bids for) the content to the advertisement distribution system 5.

[0027] The advertisement distribution system 5 provides appropriate advertisement content to avatars in the metaverse from various advertisement contents transmitted (bid) from the advertisement transmission system 4. Specifically, the advertisement distribution system 5 includes an information processing device 9 and a storage device 10, as shown in FIG.

[0028] The storage device 10 stores content provider information 11. The content provider information 11 is information indicating the attributes of the content provider. The attributes of the content provider typically include the type of product or service advertised in the advertising content provided by the content provider, and the gender, age, occupation, annual income, financial assets, family structure, preferences, hobbies, etc. of the consumers targeted by the advertising content.

[0029] The information processing device 9 includes an information acquisition unit 12 , an estimation unit 13 , a consent acceptance unit 14 , a disclosure unit 15 , and a right granting unit 16 .

[0030] The information acquisition unit 12 acquires avatar information for each of the plurality of avatars and content provider information for each of the plurality of content providers. That is, the information acquisition unit 12 acquires the avatar information for each of the plurality of avatars from the metaverse operating system 3 via the network N. The information acquisition unit 12 acquires content provider information 11 for each of the plurality of content providers from the storage device 10.

[0031] The estimation unit 13 estimates the degree of association between an avatar and a content provider based on the avatar information and the content provider information. In other words, the estimation unit 13 selects any one piece of avatar information from the plurality of pieces of avatar information, selects any one piece of content provider information from the plurality of pieces of content provider information, and estimates the degree of association between an avatar corresponding to the selected avatar information and a content provider corresponding to the selected content provider information based on the selected avatar information and the selected content provider information. The estimation unit 13 generates all combinations of one piece of avatar information and one piece of content provider information from the plurality of pieces of content provider information, and estimates the degree of association for each generated combination. Here, the degree of association between an avatar and a content provider is considered to be correlated with the degree of association between the user corresponding to the avatar and the content provider corresponding to the content provider information. In this way, the estimation unit 13 can estimate the degree of association between a user and a content provider using avatar information that is available to any user participating in the metaverse without referencing the user's personal information. Therefore, the degree of association between a user and a content provider can be estimated to some extent even in situations where it is difficult to obtain the user's personal information.

[0032] Here, the estimation method by which the estimation unit 13 estimates the degree of association between the avatar and the content provider based on the avatar information and the content provider information includes, but is not limited to, the following first estimation method and second estimation method.

[0033] In the first estimation method, first, the estimation unit 13 estimates user information of a user corresponding to the avatar information based on the avatar information. For example, the appearance of an avatar tends to reflect the user's age, gender, and hobbies. Therefore, it can be said that the estimation unit 13 can estimate the user's age, gender, and hobbies based on the appearance of the avatar. Furthermore, for example, the content of utterances and chats made by an avatar tends to reflect the user's age, gender, family structure, preferences, and hobbies. Therefore, it can be said that the estimation unit 13 can estimate the user's age, gender, family structure, preferences, and hobbies based on the content of utterances and chats made by an avatar.

[0034] The estimation unit 13 can also use an estimation model generated by machine learning when estimating user information of a user corresponding to avatar information based on the avatar information. That is, the estimation unit 13 can generate an estimation model by optimizing a neural network so that user information is output when avatar information is input, using multiple pieces of avatar information and multiple pieces of user information that are associated one-to-one with each other as training data. The estimation unit 13 can then estimate user information by inputting the avatar information into the generated estimation model. Note that since the avatar information and user information are stored in the storage device 6 of the metaverse operating system 3, it is also conceivable that the metaverse operating system 3, instead of the estimation unit 13, generates the above estimation model and provides the generated estimation model to the advertisement distribution system 5.

[0035] Next, the estimation unit 13 estimates the relevance between the avatar and the content provider based on the estimated user information and content provider information. As described above, the user information includes the user's gender, age, occupation, annual income, financial assets, family structure, preferences, hobbies, etc. The content provider information includes the gender, age, occupation, annual income, financial assets, family structure, preferences, hobbies, etc. of the consumer targeted by the advertising content. Therefore, the estimation unit 13 compares multiple attributes that make up the user information with multiple attributes that make up the content provider information and calculates a degree of match for each of the multiple attributes. The estimation unit 13 then sums up the degrees of match calculated for each of the multiple attributes to estimate the degree of relevance between the corresponding avatar and the content provider. Here, the estimation unit 13 may multiply the degree of match for each of the multiple attributes by a predetermined weighting coefficient and then sum up the degrees of match for each of the multiple attributes to calculate the relevance.

[0036] In the second estimation method, the estimation unit 13 first inputs avatar information and content provider information into a trained interest estimation model to estimate the avatar's level of interest in the content provider. Specifically, when the avatar information and content provider information are input, the estimation unit 13 generates an interest estimation model by optimizing a neural network so as to output the level of interest when an avatar corresponding to the avatar information views content related to the content provider information. In this case, the training data is composed of the avatar information, the content provider information, and the level of interest. The level of interest can be generated from action information constituting the avatar information. That is, the level of interest can typically be calculated based on the amount of time the corresponding avatar's gaze was directed toward a certain piece of content. In this case, the level of interest corresponding to the avatar information and the content provider information can be calculated by multiplying the above-mentioned time by a predetermined coefficient. Furthermore, the level of interest can typically be calculated based on the amount of time the corresponding avatar stayed in an advertising space where specific content is provided. In this case, the level of interest corresponding to the avatar information and the content provider information can be calculated by multiplying the above-mentioned time by a predetermined coefficient. In this way, the estimation unit 13 can generate the training data by calculating the interest level corresponding to the avatar information and the content provider information.

[0037] Next, the estimation unit 13 estimates the degree of relevance between the avatar and the content provider based on the estimated degree of interest. Typically, the estimation unit 13 may estimate the degree of relevance by multiplying the estimated degree of interest by a predetermined coefficient.

[0038] The consent accepting unit 14 accepts consent from the user to disclose personal information of the user corresponding to an avatar to a content provider whose degree of association with the avatar is equal to or greater than a threshold, via the user terminal 2. Specifically, the consent accepting unit 14 presents to the user, via the user terminal 2, a plurality of content providers whose degree of association with a certain avatar is equal to or greater than a threshold. The user inputs consent to the disclosure of personal information for each of the plurality of content providers into the user terminal 2. The user terminal 2 then transmits the consent result to the consent accepting unit 14.

[0039] In this embodiment, a plurality of disclosure levels are set for the user's personal information, which define the scope of disclosure. Therefore, the consent receiving unit 14 may input consent to disclose personal information for each disclosure level into the user terminal 2. The user terminal 2 transmits the consent results for each disclosure level to the consent receiving unit 14.

[0040] The consent receiving unit 14 may perform a process of prompting the user to give similar consent to disclosure to other content providers similar to the content provider in question, depending on the disclosure level consented to by the user.

[0041] When the consent receiving unit 14 receives consent, the disclosure unit 15 discloses the user's personal information to the content provider. This allows the content provider to obtain personal information of users that is highly relevant to the content provider. When consent is given for each disclosure level, the disclosure unit 15 discloses the user's personal information to the content provider within the disclosure range corresponding to the accepted disclosure level.

[0042] When the consent receiving unit 14 receives consent, the rights granting unit 16 grants the user the right to receive a reward from the content provider. This can encourage the user to disclose their personal information to the content provider. When the consent receiving unit 14 receives consent, the rights granting unit 16 may grant the user the right to receive a reward from the content provider according to the disclosure level for which consent was received. For example, when consent is obtained for a disclosure level with a broader disclosure scope, the rights granting unit 16 may grant the user the right to receive a larger reward from the content provider compared to when consent is obtained only for a disclosure level with a narrower disclosure scope.

[0043] FIG. 4 is a flowchart illustrating an example of an information processing method according to the present disclosure. As illustrated in FIG. 4, the information acquisition unit 12 acquires avatar information indicating the attributes of each of a plurality of avatars, and acquires content provider information indicating the attributes of each of a plurality of content providers (S200). Next, the estimation unit 13 estimates the degree of association between the avatar and the content provider based on the avatar information and the content provider information (S210). Next, the consent acceptance unit 14 presents content providers whose degree of association with the avatar is equal to or greater than a threshold, i.e., content providers with high degrees of association, to the user (S220). Next, the consent acceptance unit 14 accepts consent from the user to disclose personal information to the content provider (S230). If the consent acceptance unit 14 accepts consent from the user in step S230 (S230: YES), the disclosure unit 15 discloses the user's personal information to the content provider (S240). Then, the right granting unit 16 grants the user the right to receive a reward from the content provider (S250), and the process ends. If the consent receiving unit 14 does not receive consent from the user in step S230 (S230: NO), the consent receiving unit 14 also ends the process.

[0044] The second embodiment has been described above, and has the following features.

[0045] The information processing device 9 includes an information acquisition unit 12 that acquires avatar information indicating the attributes of each of a plurality of avatars, and acquires content provider information indicating the attributes of each of a plurality of content providers. The information processing device 9 includes an estimation unit 13 that estimates the degree of association between the avatar and the content provider based on the avatar information and the content provider information. The information processing device 9 includes a consent acceptance unit 14 that accepts, from a user, consent to disclose personal information of the user corresponding to the avatar to a content provider whose degree of association with the avatar is equal to or greater than a threshold. The information processing device 9 includes a disclosure unit 15 that discloses the user's personal information to the content provider when the consent acceptance unit 14 accepts consent. The above configuration enables content providers and consumers to be appropriately connected in a virtual space.

[0046] Furthermore, estimating the degree of association between an avatar and a content provider based on the avatar information and the content provider information means estimating user information indicating attributes of a user corresponding to the avatar information based on the avatar information, and estimating the degree of association between the avatar and the content provider based on the user information and the content provider information. With the above configuration, the degree of association between an avatar and a content provider can be estimated with high accuracy.

[0047] Furthermore, estimating the degree of association between an avatar and a content provider based on avatar information and content provider information involves inputting the avatar information and content provider information into an interest estimation model that has been trained to output the degree of interest that an avatar corresponding to the avatar information would have when viewing content from the content provider information, thereby estimating the degree of interest that the avatar will have in the content provider, and estimating the degree of association between the avatar and the content provider based on the degree of interest. With the above configuration, the degree of association between an avatar and a content provider can be estimated with high accuracy.

[0048] In addition, multiple disclosure levels are set for the user's personal information, which stipulate the scope of disclosure. The consent receiving unit 14 receives consent from the user for each of the multiple disclosure levels. With the above configuration, the user can set the scope of disclosure of personal information in detail.

[0049] The information processing device 9 further includes a right granting unit 16 that grants the user the right to receive a reward from the content provider when the consent receiving unit 14 accepts consent. The above configuration can encourage users to disclose their personal information to content providers.

[0050] Furthermore, the information processing device 9 further includes a right granting unit 16 that grants the user the right to receive a reward from the content provider in accordance with the disclosure level for which consent has been accepted by the consent accepting unit 14. With the above configuration, it is possible to expand the range of disclosure of the user's personal information to the content provider.

[0051] (Embodiment 3) Next, an example of the configuration of an information processing system 1 according to the present disclosure will be described with reference to Fig. 5. Below, differences between this embodiment and the second embodiment will be mainly described, and overlapping descriptions will be omitted.

[0052] In the above-described second embodiment, the information processing system 1 includes the advertisement distribution system 5, and the advertisement distribution system 5 includes the information processing device 9 and the storage device 10.

[0053] In contrast, in this embodiment, as shown in Fig. 5, the information processing system 1 does not include the advertisement delivery system 5. Instead of the advertisement delivery system 5, the metaverse operation system 3 is equipped with an information processing device 9. The storage device 6 of the metaverse operation system 3 stores content provider information 11 in addition to user information 7 and avatar information 8. In this way, the information processing system 1 does not need to include the advertisement delivery system 5 shown in Fig. 3.

[0054] In the above-described embodiment, the present disclosure has been described as a hardware configuration, but the present disclosure is not limited to this. The above-described functions (processing) of the information processing device 100, the user terminal 2, the metaverse operation system 3, the advertisement sending system 4, and the advertisement distribution system 5 may be realized by a computer 1000 having, for example, the following configuration.

[0055] 6 is a block diagram showing the configuration of a computer 1000 that realizes the processing of the information processing device 100, the user terminal 2, the metaverse operating system 3, the advertisement sending system 4, and the advertisement distribution system 5. As shown in FIG. 6, the computer 1000 includes a memory 1002 and a processor 1001.

[0056] The memory 1002 is configured, for example, by a combination of volatile memory and non-volatile memory. The memory 1002 is used to store programs executed by the processor 1001, data used for various processes, and the like. The storage units of the information processing device 100, the user terminal 2, the metaverse operation system 3, the advertisement sending system 4, and the advertisement distribution system 5 may be realized by the memory 1002. However, these may also be realized by any other storage device.

[0057] The processor 1001 performs processing for each device by reading and executing programs from the memory 1002. The processor 1001 may be, for example, a microprocessor, a microprocessor unit (MPU), or a central processing unit (CPU). The processor 1001 may include multiple processors.

[0058] In the above example, the program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Non-transitory computer-readable media include, for example, magnetic recording media, magneto-optical recording media, CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories. Semiconductor memories include, for example, mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory). The program may also be supplied to a computer by various types of transient computer-readable media. Examples of transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. The transient computer-readable media can be supplied to a computer via wired communication paths such as electrical wires and optical fibers, or wireless communication paths.

[0059] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0060] The information processing device 9 can also be implemented as a behavior information providing device within the metaverse space. Obtain attribute information of users who use the metaverse space, Acquire response information indicating the types of behavioral information (such as location, line of sight, and biometric information) that the user has responded that they do not mind being collected from among the behavioral information of the user in the metaverse space; Obtain advertiser demand information (advertising target information) based on user attribute information, Matching the acquired attribute information with the demand information and selecting advertisers for whom matching is successful; presenting the selection results to the user and accepting a selection of the advertiser from the user; Based on the response information, behavioral information of the user is provided to the advertiser.

[0061] In addition, the metaverse space behavior information providing device acquires reward information (information on the degree of reward that can be returned for personal information) of the selected advertiser, Further presenting to the user the reward information and a reward rate of each advertiser derived from the user's response information; A selection of the advertiser is accepted from the user.

[0062] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but also to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0063] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes.

[0064] (Appendix 1) an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; Including, Information processing device. (Appendix 2) 10. The information processing device according to claim 1, The attributes of the avatar include the appearance of the avatar. Information processing device. (Appendix 3) 10. The information processing device according to claim 1, The attributes of the avatar include the content of the avatar's speech or chat content. Information processing device. (Appendix 4) 10. The information processing device according to claim 1, estimating the degree of association between the avatar and the content provider based on the avatar information and the content provider information, estimating user information indicating attributes of a user corresponding to the avatar information based on the avatar information, and estimating a degree of association between the avatar and the content provider based on the user information and the content provider information; Information processing device. (Appendix 5) 10. The information processing device according to claim 1, estimating the degree of association between the avatar and the content provider based on the avatar information and the content provider information, an interest level estimation model that is trained to output a degree of interest when the avatar information and the content provider information are input, estimates the degree of interest of the avatar in the content provider, and estimates the degree of association between the avatar and the content provider based on the degree of interest; Information processing device. (Appendix 6) 10. The information processing device according to claim 1, The user's personal information is set with a plurality of disclosure levels that define the scope of disclosure, the consent receiving unit receives consent from the user for each of the plurality of disclosure levels. Information processing device. (Appendix 7) 10. The information processing device according to claim 1, a right granting unit that grants the user a right to receive a reward from the content provider when the consent receiving unit receives the consent; Information processing device. (Appendix 8) 7. The information processing device according to claim 6, and a right granting unit that grants the user a right to receive a reward from the content provider in accordance with the disclosure level for which the consent has been accepted, when the consent accepting unit has accepted the consent. Information processing device. (Appendix 9) The computer, acquiring avatar information indicating attributes of each of the plurality of avatars, and acquiring content provider information indicating attributes of each of the plurality of content providers; estimating a degree of association between the avatar and the content provider based on the avatar information and the content provider information; receiving consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; If the consent acceptance unit accepts the consent, the personal information of the user is disclosed to the content provider. Information processing methods. (Appendix 10) On the computer, an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; To function as, program.

[0065] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 8 that are dependent on Supplementary Notes 1 may also be dependent on Supplementary Notes 9 to 10 in the same dependency relationship as Supplementary Notes 2 to 8. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods. [Explanation of symbols]

[0066] 1. Information Processing Systems 2. User terminal 3 Metaverse Management System 4. Advertising transmission system 5. Advertising distribution system 6 Storage device 7. User Information 8 Avatar Information 9. Information processing equipment 10 Storage device 11 Content provider information 12 Information acquisition department 13 Estimation part 14. Acceptance Department 15. Disclosure Department 16 Entitlement Department N Network

Claims

1. an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; Including, Information processing device.

2. 2. The information processing device according to claim 1, The attributes of the avatar include the appearance of the avatar. Information processing device.

3. 2. The information processing device according to claim 1, The attributes of the avatar include the content of the avatar's speech or chat. Information processing device.

4. 2. The information processing device according to claim 1, estimating the degree of association between the avatar and the content provider based on the avatar information and the content provider information, estimating user information indicating attributes of a user corresponding to the avatar information based on the avatar information, and estimating a degree of association between the avatar and the content provider based on the user information and the content provider information; Information processing device.

5. 2. The information processing device according to claim 1, estimating the degree of association between the avatar and the content provider based on the avatar information and the content provider information, an interest level estimation model that is trained to output a degree of interest when the avatar information and the content provider information are input, estimates the degree of interest of the avatar in the content provider, and estimates the degree of association between the avatar and the content provider based on the degree of interest; Information processing device.

6. 2. The information processing device according to claim 1, The user's personal information is set with a plurality of disclosure levels that define the scope of disclosure, the consent receiving unit receives consent from the user for each of the plurality of disclosure levels. Information processing device.

7. 2. The information processing device according to claim 1, a right granting unit that grants the user a right to receive a reward from the content provider when the consent receiving unit receives the consent; Information processing device.

8. 7. The information processing device according to claim 6, and a right granting unit that grants the user a right to receive a reward from the content provider in accordance with the disclosure level for which the consent has been accepted, when the consent accepting unit has accepted the consent. Information processing device.

9. The computer acquiring avatar information indicating attributes of each of the plurality of avatars, and acquiring content provider information indicating attributes of each of the plurality of content providers; estimating a degree of association between the avatar and the content provider based on the avatar information and the content provider information; receiving consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; If the consent acceptance unit accepts the consent, the personal information of the user is disclosed to the content provider. Information processing methods.

10. On the computer, an information acquisition unit that acquires avatar information indicating attributes of each of a plurality of avatars, and acquires content provider information indicating attributes of each of a plurality of content providers; an estimation unit that estimates a degree of association between the avatar and the content provider based on the avatar information and the content provider information; a consent receiving unit that receives consent from the user to disclose personal information of the user corresponding to the avatar to the content provider whose degree of association with the avatar is equal to or greater than a threshold; a disclosure unit that discloses personal information of the user to the content provider when the consent acceptance unit accepts the consent; To function as, program.

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