CN115630310A - Security method and system for group interaction in meta universe - Google Patents
Security method and system for group interaction in meta universe Download PDFInfo
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Abstract
The invention discloses a security protection method and a system for group interaction in a meta universe, and belongs to the field of network security. The method comprises the following steps: setting matching similarity between a user and a group, wherein the matching similarity can adjust the visual state of the user meta-universe image and the mutual visual state of the group member meta-universe images; after entering or joining the group, the aforementioned visual state is that the user metauniverse character can interact with the group member metauniverse character without obstruction. By the method and the device, when the user wants to join the group chat, the matching similarity between the user and the group can be obtained, the user can judge not to join according to the matching similarity, meanwhile, the group can also obtain the information of the user and judge whether to agree with the user to join, and the matching similarity can also adjust the visual states of the user and the group members, so that the group is prevented from being disturbed by external users during the conversation.
Description
Technical Field
The invention relates to a security protection method and a system for group interaction in a meta universe, and belongs to the field of network security.
Background
Virtual digital people: a virtual digital person refers to a virtual character having a digitized appearance. Different from a robot with an entity, a virtual digital person exists depending on display equipment, and a plurality of known virtual persons can only display through equipment such as a mobile phone, a computer or an intelligent large screen. The system has four capabilities, namely image capability, perception capability, expression capability and entertainment interaction capability.
In the prior art, as patent numbers: CN 1350241A, chinese patent proposes a network chat room content security supervision system, comprising several end users (1, 2, 3), a chat room server (4) and an administrator (5), characterized by a filter server (10), the filter server (10) is connected with the several end users (1, 2, 3) and the administrator (5) via a bidirectional network (6, 7, 8) and a bidirectional network (11), respectively, and the chat room server (4) is connected via a unidirectional network (12), the filter server (6) filters bad speech from the end users (1, 2, 3) and discards it in a garbage box and generates audit records, the administrator (5) manages the garbage box and audit logs via the network (11), the patent filters bad speech and filters out bad speech in the chat room and is then handled by the administrator, but in the virtual space of the meta, the users via conversations between virtual digital people are similar to the real life, all are a plurality of groups, thus the interaction of the groups together affects the communication of the outside world, and it is difficult for the participants to communicate with each other group.
Therefore, a group interaction security protection method in the meta universe and an application are designed to solve the problems.
Disclosure of Invention
The application provides a group interaction security precaution method and system in a metachronous, when a user is close to a group chat or participates in an activity, the discussion content of the group and the interest field of the user can be matched, so that the user can determine whether to enter the group or whether the group accepts the user, and disturbance of surrounding users to the group during discussion is avoided.
In order to solve the technical problems, the invention comprises the following technical scheme:
a security method for group interaction in a meta universe comprises the following steps:
setting matching similarity between a user and a group, wherein the matching similarity can adjust the visual state of the user meta-universe image and the group member meta-universe image;
after entering or joining the group, the aforementioned visual state is that the user metauniverse image can interact with the group member metauniverse image without obstruction.
Further, the step of the user entering the community comprises,
when a user approaches to a group, collecting related information of the group and related information of the user, and correspondingly generating a group information list and a user information list;
when the information that the user selects to enter the group is collected, generating matching similarity between the user and the group based on the group information list and the user information list;
collecting the voting information of the group members to the users, and allowing the users to enter the group when the number of votes agreeing to enter the group by the users exceeds a preset value, or allowing the users to directly enter the group based on matching similarity;
the group information list comprises chat information and/or activity information of group members, the user information list comprises one or more of preference information, activity information and mark value information of the user, and the mark value information comprises related content information discussed in a group in which the user participates in history.
Further, the step of the user joining the community includes,
acquiring interaction information within a preset time after the user enters the group, and generating an interaction information data list;
collecting voting information of group members to the user based on the interactive information data list, and allowing the user to join the group when the number of votes agreeing to the user to join the group exceeds a preset value;
wherein, the user can only interact when entering the group, is not a member in the group and has no voting right; and after the user joins the group, the user is considered as a member in the group and has the right of voting.
Further, the method for allowing the user to directly enter the aforementioned community based on the matching similarity includes:
and collecting the matching similarity, wherein the matching similarity is generated based on the marking value information and the group information list, and when the similarity value of the matching similarity information reaches a preset value, the user is allowed to directly enter the group.
Further, the method for generating the matching similarity comprises,
acquiring the activity degree of the user in the group, and generating an activity degree weight data list;
and generating matching similarity between the user and the community based on the activity weight data list, the mark value information and the community information list.
Further, the method for generating the activity weight data list comprises the ratio of the time of the user talking about the related content to the total time of the community talking about the related content.
Further, the visual state is linearly related to the similarity matching degree, the higher the matching similarity is, the clearer the image and/or communication between the user and the community members is, and on the contrary, the more fuzzy the communication is;
the images between the aforementioned community members and the user are not visible and/or cannot interact with each other when the community refuses the user to enter.
Further, when the user does not enter the group and is within the preset range of the group, the emotion information of the group members is collected, and the numerical value of the matching similarity is adjusted based on the emotion information.
Further, when it is collected that the emotion of the team member becomes angry or falls down, the numerical value of the matching similarity is reduced, otherwise, the numerical value of the matching similarity is unchanged.
A system for group interaction security in a meta universe, the system comprising:
the system comprises an information acquisition subsystem, a group information acquisition subsystem and a group information acquisition subsystem, wherein the information acquisition subsystem is used for acquiring information of users and groups, generating a user information list and a group information list, and acquiring selection information of the users and voting information of group members;
and the data processing server is used for processing the data of the user information list and the community information list, generating matching similarity data and adjusting the visual state between the user and the community members.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: the group interaction security protection method in the metasma can judge based on the group chat content and the preference of an external user when a group or a group discusses chatting or performs activities, according to the judgment result, the user can select whether to enter the group or the group can select whether to accept the user, the problem that the chatting or activities of the group are disturbed by external users is avoided, in addition, in the scheme, the user can be marked after participating in the discussion or activities in the related field, and the user with the mark can directly enter the group chatting.
Drawings
Fig. 1 is a schematic step diagram of a security method for group interaction in the meta universe according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating a step of a user joining a group in the group interaction security method in the meta universe according to the embodiment.
Fig. 3 is a schematic diagram illustrating a generating step of friend matching similarity in the group interaction security method in the meta universe according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a group interaction security system in the meta universe according to an embodiment of the present invention.
The numbers in the figures are as follows:
100-an information acquisition subsystem; 200-data processing server.
Detailed Description
The following describes in detail a method and system for security against group interaction in the meta universe according to the present invention with reference to the accompanying drawings and embodiments. It should be noted that technical features or combinations of technical features described in the following embodiments should not be considered as being isolated, and they may be combined with each other to achieve better technical effects. In the drawings of the embodiments described below, the same reference numerals appearing in the respective drawings denote the same features or components, and may be applied to different embodiments. Thus, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.
It should be noted that the structures, the proportions, the sizes, and the like shown in the drawings are only used for matching the disclosure of the present invention, and are not used for limiting the practical limitations of the invention, and any modifications of the structures, changes of the proportion relationships, or adjustments of the sizes, which do not affect the efficacy and the purpose of the invention, should fall within the scope of the disclosure of the invention. The scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that described or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.
(1) The metauniverse (Metaverse) is a novel virtual-real fused internet application and social modality resulting from integration of a variety of new technologies, provides immersive experience based on an augmented reality technology, generates a mirror image of a real world based on a digital twin technology, builds an economic system based on a block chain technology, closely fuses the virtual world and the real world on an economic system, a social system, an identity system, and allows each user to perform content production and world editing.
(2) Cosine similarity, the similarity between two vectors is measured by measuring their cosine value of their angle. The similarity calculation of the user and the group discussion content can be based on the discussion content of the group and the content related to the user as a vector so as to bring the cosine similarity formula calculation.
(3) Virtual digital person: a virtual digital person refers to a virtual character having a digitized appearance. Different from a robot with an entity, a virtual digital person exists depending on display equipment, and a plurality of known virtual persons can only display through equipment such as a mobile phone, a computer or an intelligent large screen. The system has four capabilities, namely image capability, perception capability, expression capability and entertainment interaction capability.
Examples
And setting matching similarity between the user and the group, wherein the matching similarity can adjust the visual state of the user meta-universe image and the group member meta-universe image.
After entering or joining the group, the aforementioned visual state is that the user metauniverse character can interact with the group member metauniverse character without obstruction.
The group composition mode comprises interaction composition of more than two virtual digital persons in the meta universe or establishment composition of at least one virtual digital person.
The visual state of the metauniverse image between the user and the group is adjusted by setting the matching similarity between the user and the group, when the matching similarity between the user and the group is low, the image between the user and the group cannot be clear, communication is obstructed, and therefore in the group interaction process, disturbance of strange users can be avoided.
Example 1
Referring to fig. 1, in the present embodiment, the step of the user entering the community includes:
s101, when a user approaches to a group, collecting the related information of the group and the related information of the user, and correspondingly generating a group information list and a user information list.
And S102, when the information that the user selects to enter the group is collected, generating the matching similarity between the user and the group based on the group information list and the user information list.
S103, collecting the voting information of the group members to the user, and allowing the user to enter the group when the number of votes agreeing to enter the group by the user exceeds a preset value, or allowing the user to directly enter the group based on matching similarity.
The group information list comprises chat information and/or activity information of group members, the user information list comprises one or more of preference information, activity information and mark value information of the user, and the mark value information comprises related content information discussed in a group in which the user participates in history
When a user approaches to a preset range of a group being conversed, the system collects the content being conversed by the group, generates a group information list and sends the group information list to the user, and the user can decide not to enter the group to participate in chat or discussion by combining with own preference after reading the content of the group information list; if the user chooses to continue to approach, the system collects the information of the user, and generates matching similarity by combining the collected contents being discussed by the group, wherein the matching similarity is used for representing the matching degree of the user and the contents being discussed by the group, and the visual state between the user and the group members changes: based on the value of the matching similarity, the image of the user may become blurred or transparent in the visual field of the group member, the sound emitted by the user may become blurred or the volume of the sound may become smaller within the range of the group member, and the visual state of the group member may also change in the visual field of the user. By way of example, the user's preferences, or range of motion, may be collected; the method comprises the steps that matching similarity is generated through cosine similarity based on content of group talk, meanwhile, when a user decides to enter the group chat, the system collects information of the user and generates a user information list, the user information list comprises information related to the group talk content, the system sends the related information and the matching similarity of the user to members in a group, the members in the group decide whether the user enters the group chat or not based on the related information and the matching similarity, when the passing percentage of the group members reaches a preset value, the user can enter the group chat, the image and sound of the user are completely visible under the visual angle of the group members, interaction between the user and the group members is not obstructed, otherwise, the user is not allowed to enter the group, the image of the user is not visible under the visual angle of the group members, the image of the group members is not visible under the visual angle of the user, interaction between the user and the group members is avoided, and the disturbance of the user on the group activities is avoided.
By way of example, when a user a approaches a 3m area of a group B, the user a receives the group B chatting about contents such as food and game entertainment, if the user a is not interested in the chatting contents, the user a chooses to leave, but if the user a chooses to continue to enter the group, the user a is collected with his/her favorite information and/or frequent activity areas, for example, the user a frequently goes to an entertainment place C to play games, likes reading books and clothes, while the information data list related to the chatting contents of the user a and the group B contains the information that the user a frequently goes to the entertainment place C to play back, and the similarity between the user a and the chatting contents is calculated by using a similarity calculation method based on the favorite information of the user a, the activity place and the group B:
the cosine similarity algorithm is as follows, collecting the relevant information of user A as entertainment, reading and clothes, and the talk content of group B contains entertainment and food, and the key words are entertainment, reading, clothes and food; the vector of user A is (1, 0), the vector of group B is (1, 0, 1), and the cosine similarity formula is substituted:
if 41% is used as matching similarity, the members of the group B will receive the message that the user A frequently visits the entertainment place C to play and the matching similarity between the user A and the talking content is 41%, at this time, the image of the user will become fuzzy, the group members can only see the specific image of 41% of the user A, or the transparency of the image of the user A is 41%, and similarly, the user A can see the image of the members in the group B; based on the voting, whether the members in the group B agree to the user A to join the group B for chatting or playing or not can be determined, if the percentage of the members agreeing to the user A to enter the group B reaches more than 60%, the user A is allowed to enter, at the moment, 100% of the image of the user A is visible for the group B, 100% of the image of the members in the group B is also visible for the user A, if the percentage of the image of the user A does not reach 60%, the members in the user A and the group B are completely invisible and cannot interact with each other, and the visible state cannot be effective until the distance from the user A to the group B reaches 3 m.
Example 2
The step of joining the community by the user comprises:
s201, collecting the interactive information of the user in a preset time after the user enters the group, and generating an interactive information data list.
S202, collecting the voting information of the group members to the users based on the interactive information data list, and allowing the users to join the group after the number of votes for joining the group by the users exceeds a preset value.
Wherein, the user can only interact when entering the group, is not a member in the group and has no voting right; and after the user joins the group, the user is regarded as a member in the group and has the right of voting.
In this embodiment, after allowing the user to enter the group chat, the user does not count as a group member, and the user does not have the right of voting at this time, and can join the group after passing the verification of the group member, the verification method may be to collect the speech content of the user within a preset time, or the group member may ask questions like the user, and the group member performs voting again according to the performance of the user within the preset time, and when the percentage of the number of the user who agrees to join the group is greater than the preset value, the user is agreed to join the group.
For example, when a user a enters a chat of a group B, the user D also wants to enter the group B, at this time, the user a does not count to be a member of the group B, and has no right to vote for the user D to enter the group B, after the user a enters the chat of the group B, the user a describes some experiences of playing in an entertainment venue C, and answers some questions of members in the group B, people are happy to chat, after five minutes, the members of the group B also vote on whether the user a can join the group, at this time, the number of people who the user a is allowed to join the group B accounts for 90%, the user a belongs to the members of the group B, at this time, the user a can vote for the entry request or the entry request of the user D, and if the number of people who the user a is allowed to join the group B does not exceed 60%, the user a only allows to enter the chat of the group B, and cannot vote for the entry request or the entry request of the user D.
Example 3
The method for allowing the user to directly enter the community based on the matching similarity comprises the following steps:
and collecting the matching similarity, wherein the matching similarity is generated based on the marking value information and the group information list, and when the similarity value of the matching similarity information reaches a preset value, the user is allowed to directly enter the group.
In this embodiment, after a user joins a group, the chat content of the group corresponding to the user generates tag value information, where the tag information is used to indicate that the user enters a certain group and talks about some content, and when the user wants to enter another group for chatting, if the matching similarity between the chat content of the other group and the tag value information content reaches a preset value, the user may directly enter the group chat activity without the decision of voting by members in the group, and the visual state between the user and the group is adjusted by the matching similarity between the group chat content and the tag value information of the user, but the user still needs to vote in the members when joining the group.
As an example, the user a chats and discusses the related content about entertainment and food in the group B, so the related information about food and entertainment of the user a is recorded in the tag value information, when the user a wants to enter the group E for chatting, if the chat content of the group E is related to food and entertainment, the tag value is more similar to the chat content of the group E, for example, if the chat content of the group E is entertainment, food and outdoor adventure, the related keywords are: entertainment, food and outdoor adventure, user A vector is (1, 0), group E vector value is (1, 1), and the cosine similarity formula is substituted:
the similarity is that 82% exceeds the preset similarity value of 30%, the visual state between the user A and the members in the group E is 82% visible, the user A can directly enter the group E for chatting, at the moment, the members in the group E do not need to vote, and when the user A selects to enter the group E, the visual state between the user A and the group E is 100% visible; however, if the chat content of the group E is the content in the aspects of clothing and travel, the tag value of the user a has no record of related content, so that the similarity between the tag value of the user a and the chat content is low and is less than 30%, the determination of entering the group E chat for the user a is performed, and the same determination as the determination when the user a enters the group B chat is performed.
Example 4
The method for generating the matching similarity comprises the following steps:
s301, collecting the activity degree of the user in the community, and generating an activity weight data list.
S302, based on the activity weight data list, the mark value information and the community information list, generating matching similarity between the user and the community.
In this embodiment, the activity level includes speaking time, speaking times, etc. of the user on the related content, and the value of the activity level weight is used to represent the user's understanding and sharing level of a certain related content, when the user enters a group, it is determined whether the user matches the group conversation content by collecting related mark value information of the user, but if the activity level of the user on the related content is too low, it indicates that the user is not very familiar with the content being discussed by the group, or is not willing to share, therefore, the similarity between the user mark value information and the group conversation content should also be related to the activity level of the related content of the user.
For example, when the user a talks about the content of the entertainment activity in the group B, frequently speaks, and chats very pleasantly, when talking or the activity is over, the speaking amount of the user a on the content related to the entertainment activity reaches 80%, so the activity weight of the user a is 80%, and later, when the user a wants to enter the group E for talking, the group E just talks about the content related to the entertainment activity, the activity weight takes a value of 1 when calculating the similarity of the tag value information of the user a to the chat discussed by the group E, but in the calculation process, the activity weight also has a certain influence on the similarity, the activity weight of the user a on the entertainment activity item takes a value of 1 × 0.8=0.8 when calculating the similarity, and when calculating the similarity of the tag value information of the user a to the group E, 0.8 is substituted into the formula for calculation, and at this time, the vector of the tag value of the user a is (0.8, 1, 0).
It should be noted that the activity weight is used to indicate the understanding and sharing degree of the user on a certain content, and if the user knows a certain content very well, but does not share and discuss it, the activity weight is not very high, and the activity weight is 100% at the highest, which indicates that the user knows the related content to the extent that he can talk about chat and like to talk about topics, and the activity weight can also be accumulated and superimposed many times.
Example 5
The visual state is linearly related to the similarity matching degree, the higher the matching similarity is, the clearer the image and/or communication between the user and the group members are, and on the contrary, the more fuzzy the communication is; the images between the aforementioned community members and the user are not visible and/or cannot interact with each other when the community refuses the user to enter.
And when the user does not enter the group and is within the preset range of the group, acquiring the emotion information of the group members, and adjusting the numerical value of the matching similarity based on the emotion information.
And when the collected emotion of the team member becomes angry or falls down, reducing the numerical value of the matching similarity, and otherwise, keeping the numerical value of the matching similarity unchanged.
In this embodiment, the visual state is linearly related to the similarity matching degree, a corresponding relationship between the matching similarity and the visual state may be established, a corresponding relationship list is generated, then the matching similarity between the user and the community is compared with the corresponding relationship list, so as to obtain the visual state between the user and the members of the community.
For example, the matching similarity corresponds to the visual state one by one, the numerical value of the matching similarity between the user and the group is large, the definition of the user image in the view angle of the group member is large, for example, the matching similarity is 41%, the definition of the user image in the view angle of the group member is only 41%, and the sound produced by the user image is only 41%; or, the matching similarity is divided into different numerical regions, which respectively correspond to different clear images of different users, for example, when the matching similarity between the user and the group is less than 30%, the group member can only see the images of the user which are very fuzzy, see not clearly the five sense organs, and only see clearly the outline of the user, like a mosaic; when the matching similarity is between 30% and 60%, the team members can see the clothes color of the user image but are fuzzy and not detailed; when the matching similarity is between 60% and 90%, the image of the user can be seen clearly in the visual angle of the team members, and only the image of the face is fuzzy; when the matching similarity is larger than 90%, barrier-free interaction can be carried out with the user in the community members; if the user is refused to join by the community, the visual state between the user and the community members is invisible, at the moment, the user cannot see the virtual digital human image of the community members, and the community members cannot see the virtual digital human image of the user.
If the user does not apply to enter or join the community, but remains near the community, the interaction between the community members is undoubtedly influenced, at the moment, although the visual state of the user is adjusted through the matching similarity between the user and the community, if the matching similarity between the user and the community is higher, the user does not apply to enter the community, the community interaction is influenced, at the moment, the community cannot select to refuse to enter or join the user, and in this case, the matching similarity between the user and the community is adjusted by collecting the emotion change of the community members.
By way of example, the community members are happy to communicate before the user approaches the community, and the mood of the community members is happy, but when the user approaches the community, the mood of the community members becomes worse and less happy, the matching similarity between the user and the community is reduced, the degree of reduction is related to the degree of reduction of the mood of the user, and the visual state between the user and the community members is changed, so that the influence of the user on the interaction of the community can be reduced. On the contrary, if the emotion of the group member is not disturbed when the user stays near the group, the matching similarity between the user and the group is not adjusted.
Example 6
A system for security against group interactions in a meta universe, the system comprising:
the information collecting subsystem 100 is used for collecting information of users and groups, generating a user information list and a group information list, and collecting selection information of the users and voting information of group members.
The data processing server 200 is used for processing the data of the user information list and the community information list, generating matching similarity, and adjusting the visual state between the user and the community members.
In this embodiment, when a user approaches a group, the information collecting subsystem 100 collects relevant information of the group, generates a group information list, and sends the group information list to the user, where the relevant information of the group includes information such as the content discussed by group members and the emotion of the group members; the information acquisition subsystem 100 can also acquire selection information of a user, when the user selects to approach a group, the information acquisition subsystem 100 can also acquire the user information to generate a user information list, the information acquisition subsystem 100 sends the group information list and the user information list to the data processing server 200, the data processing server 200 can process the received information to obtain matching similarity between the user and the group, and then the visual state between the user and the group members is processed based on the matching similarity; the information collecting subsystem 100 can also collect voting information of group members, including voting when the user enters the group and voting when the user joins the group, and the speech information of the user when the user enters the group, etc. is also collected by the information collecting subsystem 100 and is sent to the group members for the group members to refer to whether the user agrees to join the group.
Other technical features are referred to in the previous embodiments and are not described herein.
In the description above, the various components may be selectively and operatively combined in any number within the intended scope of the present disclosure. In addition, terms like "comprising," "including," and "having" should be interpreted as inclusive or open-ended, rather than exclusive or closed-ended, by default, unless explicitly defined to the contrary. All technical, scientific, or other terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. Common terms found in dictionaries should not be interpreted as being too idealized or too impractical in the context of related art documents unless the present disclosure expressly limits them to that.
While exemplary aspects of the present disclosure have been described for illustrative purposes, those skilled in the art will appreciate that the foregoing description is by way of description of the preferred embodiments of the present disclosure only, and is not intended to limit the scope of the present disclosure in any way, which includes additional implementations in which functions may be performed out of the order of presentation or discussion. Any changes and modifications of the present invention based on the above disclosure may be made by those of ordinary skill in the art and shall fall within the scope of the appended claims.
Claims (10)
1. A security method for group interaction in a meta universe is characterized by comprising the following steps:
setting matching similarity between a user and a group, wherein the matching similarity can adjust the visual state of the user meta-universe image and the group member meta-universe image;
after entering or joining the group, the aforementioned visual state is that the user metauniverse image can interact with the group member metauniverse image without obstruction.
2. The method of claim 1, wherein the method further comprises: the step of the user entering the community comprises,
when a user approaches a group, collecting the related information of the group and the related information of the user, and correspondingly generating a group information list and a user information list;
when the information that the user selects to enter the group is collected, generating matching similarity between the user and the group based on the group information list and the user information list;
collecting the voting information of the group members to the users, and allowing the users to enter the group when the number of votes agreeing to enter the group by the users exceeds a preset value, or allowing the users to directly enter the group based on matching similarity;
the group information list comprises chat information and/or activity information of group members, the user information list comprises one or more of preference information, activity information and mark value information of the user, and the mark value information comprises related content information discussed in a group in which the user participates in history.
3. The method of claim 2, wherein the method further comprises: the step of a user joining the community comprises,
acquiring interaction information within a preset time after the user enters the group, and generating an interaction information data list;
collecting voting information of group members to the users based on the interactive information data list, and allowing the users to join the group when the number of votes for the users to join the group exceeds a preset value;
wherein, the user can only interact when entering the group, is not a member in the group and has no voting right; and after the user joins the group, the user is considered as a member in the group and has the right of voting.
4. The method of claim 2, wherein the method for allowing the user to directly enter the community based on matching similarity comprises:
and collecting the matching similarity, wherein the matching similarity is generated based on the marking value information and the group information list, and when the similarity value of the matching similarity information reaches a preset value, the user is allowed to directly enter the group.
5. The method of claim 4, wherein the method further comprises: the generation method of the matching similarity comprises the following steps,
acquiring the activity degree of the user in the community, and generating an activity weight data list;
and generating matching similarity between the user and the community based on the activity weight data list, the mark value information and the community information list.
6. The method of claim 5, wherein the method further comprises: the method for generating the activity weight data list comprises the ratio of the time for the user to talk about the relevant content to the total time for the user to talk about the relevant content.
7. The method of claim 1, wherein the method further comprises: the visual state is linearly related to the similarity matching degree, the higher the matching similarity is, the clearer the meta-universe image and/or communication between the user and the group members are, and on the contrary, the more fuzzy the meta-universe image and/or communication are;
when the community refuses the user to enter, the meta-universe image between the community members and the user is invisible and/or can not mutually communicate.
8. The method of claim 7, wherein the method further comprises: and when the user does not enter the group and is within the preset range of the group, acquiring the emotion information of the group members, and adjusting the numerical value of the matching similarity based on the emotion information.
9. The method of claim 8, wherein the method further comprises: and when the collected emotion of the team member becomes angry or falls down, reducing the numerical value of the matching similarity, and otherwise, keeping the numerical value of the matching similarity unchanged.
10. A system for security against community interaction in a meta universe, the system performing the method of any one of claims 1 to 9 and comprising:
the system comprises an information acquisition subsystem, a group information acquisition subsystem and a group information acquisition subsystem, wherein the information acquisition subsystem is used for acquiring information of users and groups, generating a user information list and a group information list, and acquiring selection information of the users and voting information of group members;
and the data processing server is used for processing the data of the user information list and the community information list, generating matching similarity and adjusting the visual state between the user and the community members.
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| CN117349484B (en) * | 2023-12-06 | 2024-02-27 | 四川物通科技有限公司 | Virtual-real fusion method and system based on meta universe |
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