CN117097833A - Remote calling method and system based on meta universe - Google Patents

Remote calling method and system based on meta universe Download PDF

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Publication number
CN117097833A
CN117097833A CN202311353302.2A CN202311353302A CN117097833A CN 117097833 A CN117097833 A CN 117097833A CN 202311353302 A CN202311353302 A CN 202311353302A CN 117097833 A CN117097833 A CN 117097833A
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information
call
chain
behavior information
behavior
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CN117097833B (en
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邓迪
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Taiyi Yunjing Technology Co ltd
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Taiyi Yunjing Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/22—Arrangements for supervision, monitoring or testing
    • H04M3/2281—Call monitoring, e.g. for law enforcement purposes; Call tracing; Detection or prevention of malicious calls
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/06—Message adaptation to terminal or network requirements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21—Monitoring or handling of messages
    • H04L51/214—Monitoring or handling of messages using selective forwarding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21—Monitoring or handling of messages
    • H04L51/222—Monitoring or handling of messages using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/42—Systems providing special services or facilities to subscribers
    • H04M3/42348—Location-based services which utilize the location information of a target
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/42—Systems providing special services or facilities to subscribers
    • H04M3/42365—Presence services providing information on the willingness to communicate or the ability to communicate in terms of media capability or network connectivity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/42—Systems providing special services or facilities to subscribers
    • H04M3/42382—Text-based messaging services in telephone networks such as PSTN/ISDN, e.g. User-to-User Signalling or Short Message Service for fixed networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention relates to the technical field of meta-universe information interaction, and particularly discloses a remote calling method and a remote calling system based on meta-universe, wherein the method comprises the steps of reading target information in a target information base and displaying the target information, acquiring a behavior information chain of a user and calling information aiming at the target information based on an information acquisition device built in VR equipment, performing self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points; based on the behavior information tree statistics call information, determining the probability of corresponding various call information at each node; based on the information collector built in the VR equipment, the behavior information of the user is collected in real time, the behavior information is matched with the behavior information chain, the probability of various call information is read according to the matching result, and the call preprocessing step is executed based on the read probability. The invention pre-processes the call information in advance, advances the pre-processing time of the call information, and reduces the delay on the subsequent user's look and feel scale.

Description

Remote calling method and system based on meta universe
Technical Field
The invention relates to the technical field of meta-universe information interaction, in particular to a remote calling method and a remote calling system based on meta-universe.
Background
The essence of the call is to select preset data according to the instruction input by the user and transmit the data, and in the simplest way, the user presses a certain button, and the system sends a certain short message, and the short message is used for executing a certain action, wherein the generated short message is preset.
Under the existing social background, the virtual reality technology is very different day by day and has a great probability in the future, so that the construction of the metauniverse is possible, a great deal of calling needs exist in the information interaction process of the metauniverse or based on virtual reality, for example, a user sends out an instruction, the system executes a certain preset function, in the process, the instruction sent by the user is mostly expression or action, the system execution function is complex, a certain hysteresis exists in the loading process of certain calling processes, even if the hysteresis duration is a fraction of a second, negative experience is brought to the user, and the hysteresis duration is reduced, so that the calling process with great optimization operand is the technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a remote calling method and a remote calling system based on metauniverse, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a meta-universe based remote call method, the method comprising:
receiving an information index input by a user, and positioning a target information base according to the information index;
reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, performing self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points;
based on the behavior information tree statistics call information, determining the probability of corresponding various call information at each node;
based on the information collector built in the VR equipment, the behavior information of the user is collected in real time, the behavior information is matched with the behavior information chain, the probability of various call information is read according to the matching result, and the call preprocessing step is executed based on the read probability.
As a further scheme of the invention: the step of receiving the information index input by the user and positioning the target information base according to the information index comprises the following steps:
receiving an index group containing order input by a user; the order is used to characterize the user's preference level;
sequentially reading indexes from an index group based on the order, performing traversal matching in a preset index library, and determining similar indexes;
displaying the similar indexes, receiving selection information of a user, and determining a final index group;
and limiting the preset information base according to the final index group to obtain a target information base.
As a further scheme of the invention: the step of reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, performing self-comparison on the behavior information chain, determining a chain node, and creating a behavior information tree according to a chain link point comprises the following steps:
sequentially reading and displaying target information in a target information base, and activating an information collector arranged in VR equipment when starting to display;
acquiring behavior information of a user according to the information acquisition device until a generation signal of calling information is monitored, so as to obtain behavior information in an acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
acquiring interactive information of a user according to the information acquisition device, and inserting nodes containing node types into behavior information according to the interactive information;
dividing behavior information in a collection period according to the nodes to obtain a behavior information chain;
and carrying out self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to the chain link points.
As a further scheme of the invention: the step of self-comparing the behavior information chains to determine chain nodes and creating a behavior information tree according to chain link points comprises the following steps:
extracting the node type of each behavior information chain to obtain a node type group;
sequentially calculating the Hamming distance between two node type groups, and determining a trunk information chain according to the Hamming distance; when the sizes of the node type groups are different in the calculation of the hamming distance, filling the missing positions with the space codes; the main information chain determining rule is determined according to the hamming distance:
；
wherein J is a node type group corresponding to a trunk information chain,is a general formula of a node type group,is->Hamming distance with any other node type group, E is mean, ++>Is standard deviation (S)>For a preset mean threshold, +.>Is a preset standard deviation threshold;
sequentially reading the non-trunk information chain, comparing the non-trunk information chain with the determined trunk information chain, and fusing the non-trunk information chain into the trunk information chain according to a comparison result to obtain a behavior information tree; the comparison content and the fusion content are behavior information between two nodes.
As a further scheme of the invention: the step of determining probabilities of corresponding various call information at each node based on the behavior information tree statistics call information comprises:
sequentially combining the chain nodes according to a preset sequence to obtain a node group;
counting call information corresponding to branches included in each node group;
comparing the call information, and calculating the probability of the call information according to the corresponding times of various call information to obtain a probability group;
the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
and connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
As a further scheme of the invention: the step of performing a call preprocessing step based on the probability of reading various call information according to the probability of matching results by matching the behavior information with a behavior information chain based on the behavior information of the user acquired in real time by the information acquirer built in the VR device comprises the steps of:
collecting behavior information of a user in real time based on an information collector built in VR equipment;
matching the behavior information acquired in real time with the behavior information segment, and reading a probability group according to a matching result;
various call information is preprocessed based on the probability group.
The technical scheme of the invention also provides a remote calling system based on meta universe, which comprises:
the information positioning module is used for receiving an information index input by a user and positioning a target information base according to the information index;
the information tree creation module is used for reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, carrying out self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points;
the probability calculation module is used for counting call information based on the behavior information tree and determining the probability of corresponding various call information at each node;
and the call preprocessing module is used for acquiring behavior information of the user in real time based on an information acquisition device built in the VR equipment, matching the behavior information with a behavior information chain, reading the probability of various call information according to a matching result, and executing a call preprocessing step based on the read probability.
As a further scheme of the invention: the information positioning module comprises:
an index group receiving unit for receiving the index groups containing orders input by the user; the order is used to characterize the user's preference level;
the index expansion unit is used for sequentially reading indexes from the index group based on the sequence, performing traversal matching in a preset index library and determining similar indexes;
the display selection unit is used for displaying the similar indexes, receiving selection information of a user and determining a final index group;
and the information limiting unit is used for limiting the preset information base according to the final index group to obtain a target information base.
As a further scheme of the invention: the information tree creation module includes:
the acquisition starting unit is used for sequentially reading and displaying target information in the target information base and activating an information acquisition device arranged in the VR equipment when the target information base starts to be displayed;
the behavior information identification unit is used for acquiring the behavior information of the user according to the information acquisition unit until the generation signal of the call information is monitored, so as to obtain the behavior information in one acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
the node inserting unit is used for collecting interaction information of a user according to the information collector and inserting nodes containing node types into the behavior information according to the interaction information;
the information segmentation unit is used for segmenting the behavior information in one acquisition period according to the nodes to obtain a behavior information chain;
and the self-comparison unit is used for carrying out self-comparison on the behavior information chain, determining chain nodes and creating a behavior information tree according to the chain link points.
As a further scheme of the invention: the probability calculation module comprises:
the information statistics unit is used for counting call information corresponding to branches included in each node group;
the calculation execution unit is used for comparing the call information, calculating the probability of the call information according to the corresponding times of various call information, and obtaining a probability group;
the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
the information connection unit is used for connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the behavior information of the user is acquired, the behavior information is disassembled, the corresponding relation between each section of behavior information and the final call information is further determined, the behavior information is continuously acquired in the subsequent application process, the current behavior information and the call information corresponding to the current behavior information can be inquired based on the determined corresponding relation, the call information is further preprocessed in advance, the preprocessing time of the call information is advanced, and the delay on the subsequent user's look and feel scale is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow diagram of a meta-universe based remote call method.
Fig. 2 is a first sub-flowchart of a meta-universe based remote call method.
Fig. 3 is a second sub-flowchart of a meta-universe based remote call method.
Fig. 4 is a third sub-flowchart of a meta-universe based remote call method.
Fig. 5 is a fourth sub-flowchart of a meta-universe based remote call method.
Fig. 6 is a block diagram showing the composition and structure of a remote call system based on meta-universe.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flow chart of a remote call method based on metauniverse, in an embodiment of the present invention, a remote call method based on metauniverse, the method includes:
step S100: receiving an information index input by a user, and positioning a target information base according to the information index;
step S200: reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, performing self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points;
step S300: based on the behavior information tree statistics call information, determining the probability of corresponding various call information at each node;
step S400: based on the information collector built in the VR equipment, the behavior information of the user is collected in real time, the behavior information is matched with the behavior information chain, the probability of various call information is read according to the matching result, and the call preprocessing step is executed based on the read probability.
Step S100 to step 300 are calibration phases, step S400 is an application phase, the processing logic of the two phases is similar, and the result of the calibration phase is used as a standard of the application phase, and specifically described as follows:
receiving an information index input by a user, wherein the information index is used for representing information of which fields the user wants to acquire, a data space (a set of all information indexes) of the information index is determined by a management party, and the information index can be news indexes such as entertainment, science and technology, life and the like, and a target information base positioned correspondingly is limited to the indexes; it is conceivable that the more the index, the smaller the data amount of the target information base; in some specific fields, a manager sets an information base first to create an index, and after receiving the index input by a user, a very small range can be defined.
Further, the target information is read from the target information base and displayed to the user, then feedback of the user aiming at the target information is obtained in real time, the feedback is called call information, the types of the call information are limited, in the process that the user sends the call information, multiple intermediate steps exist, the intermediate steps are counted into behavior information, each behavior information corresponds to one call information finally, the behavior information is divided into multiple sections, different sections of behavior information are compared, and then the possibility that each section of behavior information corresponds to the call information is determined.
Finally, in the practical application process, the generation probability of various call information can be continuously read only by collecting the behavior information of the user, so that the call information can be generated more quickly on the basis of the pretreatment completion as the pretreatment, and the call speed is greatly improved (the user is not actually improved, and only the pretreatment is performed in advance).
Fig. 2 is a block diagram of a first sub-flowchart of a remote call method based on metauniverse, where the steps of receiving an information index input by a user and locating a target information base according to the information index include steps S101 to S104:
step S101: receiving an index group containing order input by a user; the order is used to characterize the user's preference level;
step S102: sequentially reading indexes from an index group based on the order, performing traversal matching in a preset index library, and determining similar indexes;
step S103: displaying the similar indexes, receiving selection information of a user, and determining a final index group;
step S104: and limiting the preset information base according to the final index group to obtain a target information base.
The above-mentioned contents specifically describe the process of obtaining the target information base, firstly, in the process of receiving indexes, the number of indexes is expanded, that is, the original indexes are expanded into index groups, and the user can represent the importance degree of each index by means of adjusting the sequence; then, querying a similar index of each index in a preset index library as a subsequent information extraction reference; the similar query process can reduce the required accuracy of indexes input by a user (allow the user to input some similar descriptions) on one hand, and can expand the number of indexes and the subsequent target information amount on the other hand.
Fig. 3 is a second sub-flowchart of a meta-universe-based remote call method, where target information is read and displayed in a target information base, a behavior information chain of a user is acquired based on an information acquisition unit built in a VR device and call information for the target information, the behavior information chain is self-aligned, a chain node is determined, and a behavior information tree is created according to link points, where the steps include:
step S201: sequentially reading and displaying target information in a target information base, and activating an information collector arranged in VR equipment when starting to display;
the information collector is used for collecting information of a user, and a camera can be used for detecting expression or action of the user and the like.
Step S202: acquiring behavior information of a user according to the information acquisition device until a generation signal of calling information is monitored, so as to obtain behavior information in an acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
a whole action process finally generates a call message, so that the process of starting to display the target message until the call message is generated is a collection period; the behavior information takes time as an independent variable, the behaviors at different moments are different, the behaviors are represented by labels, the labels are used for describing the current behaviors, for example, the labels describing expressions can be smiles; in one example of the technical solution of the present invention, the information collector is defined as a camera, and the behavior information needs to be determined by the shooting data of the camera, and thus, the behavior information is defined as being generated by the visual information of the user.
Step S203: acquiring interactive information of a user according to the information acquisition device, and inserting nodes containing node types into behavior information according to the interactive information;
in the process of selecting one call information, a user can generate a plurality of behaviors, and a plurality of interaction information is inserted between the behaviors, wherein the interaction information can be data communication between the user and VR equipment or unidirectional visual information identification (the moment of identifying the obtained result is taken as a node) of the VR equipment, and is specifically determined by a management party; in addition, the nodes may be inserted according to a predetermined time interval, such as every two seconds, to create a node.
Step S204: dividing behavior information in a collection period according to the nodes to obtain a behavior information chain;
the behavior information can be segmented by the nodes to obtain behavior information containing the nodes, which can be understood as that a plurality of pieces of behavior information (labels) are connected, and therefore, the behavior information chain is called.
Step S205: self-comparing the behavior information chains, determining chain nodes, and creating a behavior information tree according to the chain link points;
from the above, it can be known that the behavior information is composed of labels, and the labels are limited, so that different behavior information chains may be repeated or partially repeated, different behavior information chains are compared, and the repeated parts are fused according to the comparison result, so as to finally obtain a tree structure containing a plurality of nodes, which is called a behavior information tree.
As a preferred embodiment of the technical scheme of the invention, the step of self-comparing the behavior information chains to determine chain nodes and creating a behavior information tree according to chain link points comprises the following steps:
extracting the node type of each behavior information chain to obtain a node type group;
sequentially calculating the Hamming distance between two node type groups, and determining a trunk information chain according to the Hamming distance; when the sizes of the node type groups are different in the calculation of the hamming distance, filling the missing positions with the space codes; the main information chain determining rule is determined according to the hamming distance:
；
wherein J is a node type group corresponding to a trunk information chain,is a general formula of a node type group,is->Hamming distance with any other node type group, E is mean, ++>Is standard deviation (S)>For a preset mean threshold, +.>Is a preset standard deviation threshold;
sequentially reading the non-trunk information chain, comparing the non-trunk information chain with the determined trunk information chain, and fusing the non-trunk information chain into the trunk information chain according to a comparison result to obtain a behavior information tree; the comparison content and the fusion content are behavior information between two nodes.
The above-mentioned content describes the creation process of the behavior information tree specifically, firstly, the node type of the node involved in each behavior information chain needs to be counted, and as can be known from the above-mentioned content, the node is a separation point of each piece of behavior information and is generated by interaction information, if in one behavior process, the intermediate interaction information is the same, and the finally obtained call information is also the same in probability, and based on the node type of each behavior information chain is extracted as the characteristic of the behavior information chain; then, comparing node type groups (existence sequence), calculating the Hamming distance between the two node type groups, wherein the Hamming distance represents the number of different characters at the corresponding positions of two character strings with equal length (different lengths are filled by using space codes, and the comparison results are different), and the Hamming distance between the character strings x and y is represented by d (x, y); the larger the hamming distance, the larger the gap between the two behavior information chains.
And finally, calculating the mean value and standard deviation of the Hamming distance between each behavior information chain and all other behavior information chains, selecting the behavior information chains with the mean value and standard deviation small enough (similar to more behavior information chains) as a main information chain, comparing each segment of behavior information (tag set) of each behavior information chain and the main information chain, and if the behavior information chains are the same, merging, so that all the behavior information chains are fused, and obtaining a behavior information tree.
FIG. 4 is a third sub-flowchart of a meta-universe based remote call method, wherein the step of determining probabilities of corresponding various call information at each node based on the behavior information tree statistics call information includes:
step S301: sequentially combining the chain nodes according to a preset sequence to obtain a node group;
step S302: counting call information corresponding to branches included in each node group;
step S303: comparing the call information, and calculating the probability of the call information according to the corresponding times of various call information to obtain a probability group; the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
step S304: and connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
In an example of the technical scheme of the present invention, a specific node and probability corresponding scheme is provided, and the process is as follows:
the method comprises the steps of combining link points in a behavior information chain in sequence to obtain a plurality of node groups, wherein the length of each node group is not limited, the shortest length is 2, the longest length is the number of nodes included in the longest behavior information chain, the obtained plurality of node groups are all subsets of one or more behavior information chains, the total number of the behavior information chains including the node groups is obtained, each behavior information chain corresponds to one complete behavior information and corresponds to one call information, and the probability of each call information corresponding to each node group can be obtained by dividing the number of each call information by the total number of the links due to repetition of the call information.
Specifically, regarding the above node group and branches included in the node group, in colloquial terms, the node group is a certain defined branch, corresponding to a certain piece of behavior information, the branches included in the node group are all branches taking the branches defined by the node group as trunks, and each included branch corresponds to a behavior information chain.
Fig. 5 is a fourth sub-flowchart of a meta-universe-based remote call method, where an information collector built in a VR device collects behavior information of a user in real time, matches the behavior information with a behavior information chain, reads probabilities of various call information according to a matching result, and performs a call preprocessing step based on the read probabilities, where the steps include:
step S401: collecting behavior information of a user in real time based on an information collector built in VR equipment;
step S402: matching the behavior information acquired in real time with the behavior information segment, and reading a probability group according to a matching result;
step S403: various call information is preprocessed based on the probability group.
Step S401 to step S403 are specific descriptions of step S400, and the flow of the specific descriptions is similar to step S100 to step S300, for example, the difference is that, based on the behavior information collection process of the VR device, the collected behavior information is more and the length of the node groups is longer and longer over time, in this process, each node group can query the corresponding call information and the probability thereof, the longer the node group is, the more accurate the probability calculation is, at this time, different call information can be preprocessed by means of the probability, and when it is determined that certain call information is generated, the call information can be generated as soon as possible.
Fig. 6 is a block diagram of a component structure of a remote call system based on metauniverse, and in an embodiment of the present invention, a remote call system based on metauniverse, the system 10 includes:
the information positioning module 11 is used for receiving an information index input by a user and positioning a target information base according to the information index;
the information tree creation module 12 is configured to read and display target information in a target information base, collect a behavior information chain of a user and call information for the target information based on an information collector built in the VR device, perform self-comparison on the behavior information chain, determine a chain node, and create a behavior information tree according to the link point;
a probability calculation module 13, configured to determine probabilities of corresponding various call information at each node based on the behavior information tree statistics call information;
the call preprocessing module 14 is configured to collect behavior information of a user in real time based on an information collector built in the VR device, match the behavior information with a behavior information chain, read probabilities of various call information according to the matching result, and execute a call preprocessing step based on the read probabilities.
Further, the information positioning module 11 includes:
an index group receiving unit for receiving the index groups containing orders input by the user; the order is used to characterize the user's preference level;
the index expansion unit is used for sequentially reading indexes from the index group based on the sequence, performing traversal matching in a preset index library and determining similar indexes;
the display selection unit is used for displaying the similar indexes, receiving selection information of a user and determining a final index group;
and the information limiting unit is used for limiting the preset information base according to the final index group to obtain a target information base.
Specifically, the information tree creation module 12 includes:
the acquisition starting unit is used for sequentially reading and displaying target information in the target information base and activating an information acquisition device arranged in the VR equipment when the target information base starts to be displayed;
the behavior information identification unit is used for acquiring the behavior information of the user according to the information acquisition unit until the generation signal of the call information is monitored, so as to obtain the behavior information in one acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
the node inserting unit is used for collecting interaction information of a user according to the information collector and inserting nodes containing node types into the behavior information according to the interaction information;
the information segmentation unit is used for segmenting the behavior information in one acquisition period according to the nodes to obtain a behavior information chain;
and the self-comparison unit is used for carrying out self-comparison on the behavior information chain, determining chain nodes and creating a behavior information tree according to the chain link points.
Further, the probability calculation module 13 includes:
the information statistics unit is used for counting call information corresponding to branches included in each node group;
the calculation execution unit is used for comparing the call information, calculating the probability of the call information according to the corresponding times of various call information, and obtaining a probability group;
the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
the information connection unit is used for connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (10)

1. A meta-universe based remote call method, the method comprising:
receiving an information index input by a user, and positioning a target information base according to the information index;
reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, performing self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points;
based on the behavior information tree statistics call information, determining the probability of corresponding various call information at each node;
based on the information collector built in the VR equipment, the behavior information of the user is collected in real time, the behavior information is matched with the behavior information chain, the probability of various call information is read according to the matching result, and the call preprocessing step is executed based on the read probability.
2. The meta-universe based remote call method of claim 1 wherein the step of receiving a user input containing an information index, locating a target information base based on the information index comprises:
receiving an index group containing order input by a user; the order is used to characterize the user's preference level;
sequentially reading indexes from an index group based on the order, performing traversal matching in a preset index library, and determining similar indexes;
displaying the similar indexes, receiving selection information of a user, and determining a final index group;
and limiting the preset information base according to the final index group to obtain a target information base.
3. The meta-universe-based remote call method of claim 1 wherein the steps of reading and displaying target information in a target information base, self-comparing the behavior information chain based on an information collector built in VR equipment collecting a behavior information chain of a user and call information for the target information, determining chain nodes, and creating a behavior information tree from link points include:
sequentially reading and displaying target information in a target information base, and activating an information collector arranged in VR equipment when starting to display;
acquiring behavior information of a user according to the information acquisition device until a generation signal of calling information is monitored, so as to obtain behavior information in an acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
acquiring interactive information of a user according to the information acquisition device, and inserting nodes containing node types into behavior information according to the interactive information;
dividing behavior information in a collection period according to the nodes to obtain a behavior information chain;
and carrying out self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to the chain link points.
4. The meta-universe based remote call method of claim 3 wherein the step of self-aligning the chain of behavioral information, determining chain nodes, and creating a behavioral information tree from link points comprises:
extracting the node type of each behavior information chain to obtain a node type group;
sequentially calculating the Hamming distance between two node type groups, and determining a trunk information chain according to the Hamming distance; when the sizes of the node type groups are different in the calculation of the hamming distance, filling the missing positions with the space codes; the main information chain determining rule is determined according to the hamming distance:
；
wherein J is a node type group corresponding to a trunk information chain,general formula for node type group, +.>Is->Hamming distance with any other node type group, E is mean, ++>Is standard deviation (S)>For a preset mean threshold, +.>Is a preset standard deviation threshold;
sequentially reading the non-trunk information chain, comparing the non-trunk information chain with the determined trunk information chain, and fusing the non-trunk information chain into the trunk information chain according to a comparison result to obtain a behavior information tree; the comparison content and the fusion content are behavior information between two nodes.
5. The meta-universe based remote call method of claim 1 wherein the step of determining probabilities of corresponding various call information at each node based on the behavioral information tree statistics call information comprises:
sequentially combining the chain nodes according to a preset sequence to obtain a node group;
counting call information corresponding to branches included in each node group;
comparing the call information, and calculating the probability of the call information according to the corresponding times of various call information to obtain a probability group;
the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
and connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
6. The meta-universe-based remote call method of claim 1, wherein the step of performing the call preprocessing step based on the read probabilities by acquiring behavior information of a user in real time based on an information acquirer built in a VR device, matching the behavior information with a behavior information chain, and reading probabilities of various call information according to the matching result comprises:
collecting behavior information of a user in real time based on an information collector built in VR equipment;
matching the behavior information acquired in real time with the behavior information segment, and reading a probability group according to a matching result;
various call information is preprocessed based on the probability group.
7. A meta-universe based remote call system, the system comprising:
the information positioning module is used for receiving an information index input by a user and positioning a target information base according to the information index;
the information tree creation module is used for reading and displaying target information in a target information base, acquiring a behavior information chain of a user and call information aiming at the target information based on an information acquisition device built in VR equipment, carrying out self-comparison on the behavior information chain, determining chain nodes, and creating a behavior information tree according to chain link points;
the probability calculation module is used for counting call information based on the behavior information tree and determining the probability of corresponding various call information at each node;
and the call preprocessing module is used for acquiring behavior information of the user in real time based on an information acquisition device built in the VR equipment, matching the behavior information with a behavior information chain, reading the probability of various call information according to a matching result, and executing a call preprocessing step based on the read probability.
8. The meta-universe based remote call system of claim 7 wherein the information locating module comprises:
an index group receiving unit for receiving the index groups containing orders input by the user; the order is used to characterize the user's preference level;
the index expansion unit is used for sequentially reading indexes from the index group based on the sequence, performing traversal matching in a preset index library and determining similar indexes;
the display selection unit is used for displaying the similar indexes, receiving selection information of a user and determining a final index group;
and the information limiting unit is used for limiting the preset information base according to the final index group to obtain a target information base.
9. The meta-universe based remote call system of claim 7 wherein the information tree creation module comprises:
the acquisition starting unit is used for sequentially reading and displaying target information in the target information base and activating an information acquisition device arranged in the VR equipment when the target information base starts to be displayed;
the behavior information identification unit is used for acquiring the behavior information of the user according to the information acquisition unit until the generation signal of the call information is monitored, so as to obtain the behavior information in one acquisition period; wherein the behavior information contains time variable and is generated by visual information about a user, and the behavior information is a tag set;
the node inserting unit is used for collecting interaction information of a user according to the information collector and inserting nodes containing node types into the behavior information according to the interaction information;
the information segmentation unit is used for segmenting the behavior information in one acquisition period according to the nodes to obtain a behavior information chain;
and the self-comparison unit is used for carrying out self-comparison on the behavior information chain, determining chain nodes and creating a behavior information tree according to the chain link points.
10. The meta-universe based remote call system of claim 7 wherein the probability calculation module comprises:
the information statistics unit is used for counting call information corresponding to branches included in each node group;
the calculation execution unit is used for comparing the call information, calculating the probability of the call information according to the corresponding times of various call information, and obtaining a probability group;
the probability calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Probability of being the i-th call information, +.>For the ith call information>The number of times corresponding to the ith call information is given, and n is the total category number of the call information;
the information connection unit is used for connecting behavior information included in the node group to obtain a behavior information segment, and establishing a mapping relation between the behavior information segment and the probability group.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109600525A (en) * 2018-11-15 2019-04-09 中国联合网络通信集团有限公司 The control method and device of call center based on virtual reality
CN110381110A (en) * 2019-06-03 2019-10-25 广东元一科技实业有限公司 Calling auxiliary system and its implementation based on Internet of Things
CN115426178A (en) * 2022-09-01 2022-12-02 中国联合网络通信集团有限公司 Calling method, calling device, electronic equipment and computer readable medium
US20230300292A1 (en) * 2022-03-15 2023-09-21 Meta Platforms, Inc. Providing shared augmented reality environments within video calls

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109600525A (en) * 2018-11-15 2019-04-09 中国联合网络通信集团有限公司 The control method and device of call center based on virtual reality
CN110381110A (en) * 2019-06-03 2019-10-25 广东元一科技实业有限公司 Calling auxiliary system and its implementation based on Internet of Things
US20230300292A1 (en) * 2022-03-15 2023-09-21 Meta Platforms, Inc. Providing shared augmented reality environments within video calls
CN115426178A (en) * 2022-09-01 2022-12-02 中国联合网络通信集团有限公司 Calling method, calling device, electronic equipment and computer readable medium

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