Information processing apparatus and information processing method

Abstract

To provide an information processing apparatus and an information processing method for evaluating that a predetermined place is provided for a virtual space.SOLUTION: An information processing apparatus 1 connected to a portable terminal of a user, a server that provides a virtual space, and an analyst terminal by communication, includes: an acquisition unit 131 which acquires location history information formed by associating a user ID with terminal location information indicating a location where the portable terminal used by the user exists, and acquires use state information indicating a use state of the virtual space that simulates a predetermined place by the user; an estimation unit 132 which estimates, based on the location history information acquired by the acquisition unit, movement-related action related to the movement of the user to the predetermined place; an analysis unit 133 which analyzes a relation between the use of the virtual space by the user and the movement-related action of the user with respect to the predetermined place, based on the movement-related action of the user estimated by the estimation unit and the use state indicated by the use state information acquired by the acquisition unit; and an output unit 134 which outputs analysis result information indicating an analysis result analyzed of the analysis unit.SELECTED DRAWING: Figure 2

Description

[Technical field]

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

[0002] In recent years, local governments, schools, etc. have been using virtual spaces such as the metaverse to transmit information. Specifically, local governments have launched DAOs (Decentralized Autonomous Organizations) for the purpose of regional revitalization, and there has been an increasing movement to convey the charm of regional areas through the operation of the metaverse, leading to donations and relocation to regional areas. For example, Patent Document 1 discloses a device that allows a user in a different location from a specific location, such as a school or travel destination, to view images of the specific location in a virtual space, thereby allowing the user to have a simulated experience of the specific location. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2023-150583 A Summary of the Invention [Problem to be solved by the invention]

[0004] The conventional technology has a problem in that the provision of a predetermined location in a virtual space is not evaluated.

[0005] The present invention has been made in consideration of these points, and has an object to make it possible to evaluate the provision of a predetermined location in a virtual space. [Means for solving the problem]

[0006] An information processing device according to a first aspect of the present invention has an acquisition unit that acquires location history information that associates user identification information for identifying a user with terminal location information that indicates the location where a mobile terminal used by the user was located, and acquires usage status information that indicates the usage status of a virtual space simulating a specified location by the user, an estimation unit that estimates travel-related behavior related to the user's movement to the specified location based on the location history information acquired by the acquisition unit, an analysis unit that analyzes the relationship between the user's usage of the virtual space and the user's travel-related behavior with respect to the specified location based on the user's travel-related behavior estimated by the estimation unit and the usage status indicated by the usage status information acquired by the acquisition unit, and an output unit that outputs analysis result information that indicates the analysis result by the analysis unit.

[0007] The location history information includes terminal location information indicating the location where the mobile terminal was present and time information indicating the time when the mobile terminal was present at the location, and the usage status information includes usage time information indicating the time when the user used the virtual space, and the estimation unit estimates the time when the movement-related action was performed based on the location history information, and the analysis unit may analyze whether the user moved to the specified location by using the virtual space based on the time when the movement-related action was performed estimated by the estimation unit and the usage time of the virtual space indicated by the usage status information acquired by the acquisition unit.

[0008] The estimation unit may estimate, based on the location history information acquired by the acquisition unit, whether or not the user will participate in an event that involves the action of moving to a specific location as the travel-related action, and the analysis unit may analyze the relationship between the user's use of the virtual space and whether or not the user will participate in the event as the travel-related action of the user estimated by the estimation unit.

[0009] The acquisition unit may acquire the location history information of each of a plurality of users and the usage status information of each of the plurality of users, the estimation unit may estimate the travel-related behavior of each of the plurality of users based on the location history information of each of the plurality of users acquired by the acquisition unit, and the analysis unit may analyze the relationship between usage of the virtual space and the travel-related behavior based on the travel-related behavior of each of the plurality of users estimated by the estimation unit and the usage status indicated by the usage status information of each of the plurality of users acquired by the acquisition unit.

[0010] The analysis unit may analyze whether or not a travel-related behavior has occurred of a user who has used the virtual space, and whether or not the travel-related behavior has occurred of a user who has not used the virtual space, based on the travel-related behavior of the user estimated by the estimation unit and the usage status indicated by the usage status information acquired by the acquisition unit.

[0011] The estimation unit may identify the user's place of residence based on address information indicating the user's address associated with the user identification information or the location history information, and may estimate, based on the relationship between the identified place of residence of the user and the specified location, whether the user has performed a long-term stay behavior, which is an action of staying at the specified location for a long period of time, or a short-term stay behavior, which is an action of staying at the specified location for a short period of time, as the travel-related behavior.

[0012] The usage information includes an index value indicating the strength of the user's relationship with other users in the virtual space, and when the estimation unit estimates that the user has performed a long-term stay at the specified location as the travel-related behavior, the analysis unit may analyze the relationship between the strength of the user's relationship with other users indicated by the index value and the long-term stay at the specified location. The index value may be an index value indicating a degree of communication between the user and other users in the virtual space.

[0013] The usage information may include an index value indicating the user's usage time or number of times of use of the virtual space, and the analysis unit may analyze the relationship between the user's usage time or number of times of use of the virtual space indicated by the index value and the user's long-term stay in the specified location.

[0014] When the estimation unit estimates that the user performed a short stay at the specified location as the travel-related behavior, it may estimate whether the user visited the specified location for tourism purposes based on the relationship between the location of the mobile device indicated by the location history information and a location corresponding to a tourist facility present at the specified location.

[0015] The usage information indicates a usage status of the tourist facility in the virtual space, and the analysis unit may analyze the relationship between the usage status of the tourist facility in the virtual space indicated by the usage information and the user's visit to the specified location for tourist purposes.

[0016] The specified location indicates a specified school, the location history information includes the terminal location information indicating the location where the mobile terminal was present and time information indicating the time when the mobile terminal was present at the location, and the usage status information includes usage time information indicating the time when the user used the virtual space, and the estimation unit estimates whether the user has enrolled in the specified school as the travel-related behavior based on the location of the specified school and the location history information before and after a specified time period, and the analysis unit may analyze whether the user has enrolled in the specified school by using the virtual space based on the estimation by the estimation unit of whether the user has enrolled in the specified school and the usage time of the virtual space indicated by the usage status information acquired by the acquisition unit.

[0017] The usage information includes at least one of a first index value indicating the degree of communication of the user with persons associated with the specified school in the virtual space and a second index value indicating the degree of communication of the user with other users in the virtual space who are not associated with the specified school, and the acquisition unit may acquire the location history information of each of a plurality of users and also acquire the usage information of each of the plurality of users, and the analysis unit may analyze the relationship between at least one of the first index value and the second index value and enrollment in the specified school.

[0018] When the estimation unit is unable to estimate the travel-related behavior of the user, the analysis unit may analyze whether or not the user is likely to move to the specified location based on the usage status indicated by the usage status information acquired by the acquisition unit.

[0019] The acquisition unit may acquire, as the usage status information, payment information indicating a payment made by the user in the virtual space that simulates the specified location, and the analysis unit may analyze whether or not there is a high likelihood that the user will move to the specified location based on the payment information indicated by the usage status information acquired by the acquisition unit.

[0020] The user is fitted with a measuring device that measures the user's biometric information, and the acquisition unit acquires, as the usage status information, the user's biometric information measured by the measuring device when the user is active in the virtual space that simulates the specified location, and the analysis unit may analyze whether or not the user is likely to move to the specified location based on the biometric information indicated by the usage status information acquired by the acquisition unit.

[0021] An information processing method according to a second aspect of the present invention includes the steps of: acquiring location history information, executed by a computer, that associates user identification information for identifying a user with terminal location information indicating the location where a mobile terminal used by the user was located, and acquiring usage status information indicating the usage status of a virtual space simulating a specified location by the user; estimating travel-related behavior related to the user's movement to the specified location based on the acquired location history information; analyzing the relationship between the user's usage of the virtual space and the user's travel-related behavior relative to the specified location based on the estimated travel-related behavior of the user and the usage status indicated by the acquired usage status information; and outputting analysis result information indicating the results of the analysis. Effect of the Invention

[0022] According to the present invention, it is possible to provide an effect of being able to evaluate whether a predetermined place has been provided in a virtual space. [Brief description of the drawings]

[0023] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing device. [Diagram 2] FIG. 2 is a diagram illustrating a functional configuration of an information processing device. [Diagram 3] FIG. 4 is a diagram illustrating an example of user information. [Figure 4] FIG. 11 is a diagram illustrating an example of location history information. [Diagram 5] FIG. 11 is a diagram illustrating an example of usage status information. [Figure 6] FIG. 13 is a diagram showing an example of an analysis result screen. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0024] [Overview of information processing device 1] 1 is a diagram showing an overview of an information processing device 1. The information processing device 1 is, for example, a server that analyzes the relationship between the usage status of a virtual space by a user and the user's behavior.

[0025] The information processing device 1 is communicably connected to a mobile terminal 2 used by a user, a server 3 that provides a virtual space, and an analyst terminal 4 used by an analyst who analyzes the relationship between the usage status of the virtual space and the user's behavior. The user can use the virtual space provided by the server 3 using the mobile terminal 2 and a user's terminal (not shown) different from the mobile terminal 2.

[0026] The virtual space provided by the server 3 is, for example, a metaverse space constructed to imitate a real space, and a user can live a social life, such as communicating with other users in the metaverse space, using an avatar that the user plays. The virtual space also includes a virtual space imitating a predetermined place. The predetermined place is, for example, a place where a local government that has a policy of increasing the population of a town, village, etc., or a school that is recruiting students is located. In the following description, the virtual space imitating a predetermined place is also referred to as a predetermined virtual space.

[0027] The information processing device 1 acquires from the mobile terminal 2 location history information that associates a user ID (Identification) as user identification information for identifying a user with terminal location information that indicates the location where the mobile terminal 2 used by the user was located ((1) in FIG. 1). The information processing device 1 acquires from the server 3 usage status information that associates the user ID with the usage status of a predetermined virtual space ((2) in FIG. 1).

[0028] The information processing device 1 estimates a movement-related behavior, which is a behavior related to the user's movement to a predetermined location, based on the acquired location history information ((3) in FIG. 1). The information processing device 1 analyzes the relationship between the user's use of the virtual space and the user's movement-related behavior, based on the estimated movement-related behavior of the user and the user's usage status of the predetermined virtual space indicated by the acquired usage status information ((4) in FIG. 1).

[0029] Then, the information processing device 1 transmits analysis result information indicating the analysis result to the analyst terminal 4 ((5) in FIG. 1). In this way, the analyst can evaluate the provision of the predetermined place in the virtual space based on the analysis result information.

[0030] [Functional configuration of information processing device 1] Next, a detailed description will be given of the configuration of the information processing device 1. Fig. 2 is a diagram showing the functional configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, and a control unit 13.

[0031] The communication unit 11 is a communication interface for transmitting and receiving data to and from the mobile terminal 2 and the server 3 via a network such as the Internet. The storage unit 12 is a storage medium that stores various data, and includes a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, etc. The storage unit 12 stores a program executed by the control unit 13. The storage unit 12 stores a program that causes the control unit 13 to function as an acquisition unit 131, an estimation unit 132, an analysis unit 133, and an output unit 134.

[0032] The storage unit 12 also stores user information in which the user ID of the user is associated with attribute information indicating the user's attributes. Fig. 3 is a diagram showing an example of user information. As shown in Fig. 3, the attribute information includes information indicating the user's age, sex, occupation, and place of residence, for example. Note that the attribute information may include information indicating the user's family structure, hobbies, and genres of interest and concern, and the amount of assets held, in addition to those shown in Fig. 3.

[0033] The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 executes a program stored in the storage unit 12, thereby functioning as an acquisition unit 131, an estimation unit 132, an analysis unit 133, and an output unit .

[0034] [Acquisition of location history information and usage information] The acquisition unit 131 acquires location history information that associates the user ID of the user, terminal location information indicating the location where the portable terminal 2 used by the user was present, and the time when the portable terminal 2 was present at that location, and also acquires usage status information indicating the usage status of a predetermined virtual space by the user. The acquisition unit 131 acquires the location history information of each of the multiple users, and also acquires the usage status information of each of the multiple users.

[0035] The acquisition unit 131 acquires location history information from the mobile terminal 2 of each of a plurality of users, for example, at predetermined time intervals. FIG. 4 is a diagram showing an example of location history information. As shown in FIG. 4, it can be confirmed that the location history information is information in which a user ID, a time, and terminal location information are associated with each other. The acquisition unit 131 stores the acquired location history information in the storage unit 12.

[0036] The acquisition unit 131 also acquires usage status information of each of the multiple users from the server 3 that provides the virtual space, for example, at predetermined time intervals. The usage status information is information that associates a location space ID indicating a location or facility that simulates a real space in a virtual space, a user ID of a user who used the location or facility, a time when the user used the location or facility, a communication level of the user, and a usage level of the virtual space of the user.

[0037] Fig. 5 is a diagram showing an example of the usage status information. As shown in Fig. 5, it can be seen that the usage status information includes a user ID, a location space ID, a time, a communication level, and a virtual space usage level. The acquisition unit 131 stores the acquired usage status information in the storage unit 12.

[0038] Here, the communication level is an index value indicating the strength of the relationship between the user and other users in the virtual space, for example, an index value indicating the degree of communication between the user and other users in the virtual space. The higher the communication level, the more actively the user communicates with other users in the virtual space, and the higher the degree of communication. The communication level is determined, for example, based on the amount of data per unit time of text chat or voice chat between the user and other users, or the time of communication via video.

[0039] The virtual space utilization degree is an index value indicating the usage time or number of times that a user uses a place or facility that simulates a real space in a virtual space. The higher the virtual space utilization degree, the more actively the user uses the virtual space. In addition, when a service such as providing various contents corresponding to a specific place is performed in the virtual space, the virtual space utilization degree may be calculated based on at least one of the usage time and the number of times of use of the service. In addition, the usage status information may include payment information indicating the payment of the user in the entire virtual space including the specific virtual space. In this case, the payment information is associated with the location space ID, the user ID, and the time. Here, the payment information may include information indicating the product purchased by the user, the type of product, and the payment amount.

[0040] [Estimation of travel-related behavior] The estimation unit 132 estimates a travel-related behavior related to the user's movement to a predetermined location and a time when the user performed the travel-related behavior, based on the position history information acquired by the acquisition unit 131 and stored in the storage unit 12. The estimation unit 132 estimates the travel-related behavior and the time when the travel-related behavior was performed for each of the multiple users, based on the position history information of each of the multiple users acquired by the acquisition unit 131.

[0041] When the specified location is the location of a specified municipality, the travel-related behavior is, for example, a long-term stay behavior at the specified location and a short-term stay behavior at the specified location. The long-term stay behavior is, for example, migration or long-term stay. Also, the short-term stay behavior is, for example, a trip for tourism purposes or an inspection behavior at the specified location for a long-term stay. The estimation unit 132 estimates whether a long-term stay behavior at the specified location or a short-term stay behavior at the specified location has been performed.

[0042] In this case, the estimation unit 132 first identifies the residence based on the location history information associated with the user ID of the user. For example, the estimation unit 132 identifies the place where the user stays most during a predetermined period as the residence of the user based on the location information associated with the user ID and the time. Note that the estimation unit 132 identifies the residence based on the location history information, but is not limited to this. The estimation unit 132 may refer to the user information stored in the storage unit 12, acquire residence information indicating the residence of the user associated with the user ID, and identify the residence of the user.

[0043] Also, for example, if the user ID is a user ID assigned by a telecommunications carrier to a user who uses a service provided by the telecommunications carrier, the estimation unit 132 may obtain the user's residence information included in the contract information with the telecommunications carrier for the user's communication service that is managed by the telecommunications carrier in association with the user ID, and identify the user's residence based on the residence information.

[0044] The estimation unit 132 estimates whether the user has performed a long-term stay behavior or a short-term stay behavior as a travel-related behavior based on the relationship between the identified user's residence and the predetermined place. For example, when the identified user's residence is included in a range of positions indicating the predetermined place, the estimation unit 132 determines that the user has performed a long-term stay behavior indicating that the user is staying in the predetermined place for a long time. In addition, when the identified user's residence is not included in a range of positions indicating the predetermined place and a position included in the range of the predetermined place is included in the multiple positions of the mobile terminal 2 indicated by each of the multiple terminal position information associated with the user ID of the user included in the position history information, the estimation unit 132 determines that the user has performed a short-term stay behavior indicating that the user is staying in the predetermined place for a short time.

[0045] Furthermore, when the estimation unit 132 estimates that the user has performed a short-term stay behavior at a predetermined place as a travel-related behavior, the estimation unit 132 estimates whether the user has visited the predetermined place for tourism purposes based on the relationship between the position of the mobile terminal 2 indicated by the position history information and the position corresponding to a tourist facility existing at the predetermined place. The tourist facility is, for example, a facility that provides tourist information, a facility that provides products such as local specialties, or a tourist attraction. In this case, the storage unit 12 stores facility position information indicating the position of the tourist facility existing at the predetermined place. The estimation unit 132 estimates that the user has visited the predetermined place for tourism purposes on the condition that the position of the mobile terminal 2 indicated by the user's position history information includes the position of the tourist facility indicated by the facility position information.

[0046] In addition, when the predetermined place is the location of the predetermined school, the travel-related behavior is the enrollment behavior to the predetermined school. When the predetermined place is the location of the predetermined school, the estimation unit 132 estimates whether the user has enrolled in the predetermined school as the travel-related behavior based on the location of the predetermined school and the user's location history information before and after the enrollment time of the school as the predetermined time.

[0047] In this case, school location information indicating the location of the predetermined school is stored in the storage unit 12. The estimation unit 132 estimates that the user has enrolled in the predetermined school on condition that, before the enrollment time of the predetermined school as the predetermined period, the location of the mobile terminal 2 indicated by the user's location history information does not include the location of the predetermined school indicated by the school location information stored in the storage unit 12, and, after the enrollment time, the location of the predetermined school is included in the location of the mobile terminal 2 indicated by the user's location history information.

[0048] The travel-related behavior is not limited to long-term stay behavior, short-term stay behavior, and school enrollment behavior, but may also be a user's participation behavior in a travel-related event that is an event involving a behavior of moving to a predetermined location. Then, the estimation unit 132 estimates the presence or absence of a user's participation behavior in a travel-related event as a travel-related behavior, based on the location history information acquired by the acquisition unit 131. For example, when the predetermined location is the location of a predetermined municipality, the travel-related event is a relocation briefing session for the location of the municipality or a briefing session for a sightseeing tour. Also, when the predetermined location is the location of a predetermined school, the travel-related event is an admission briefing session for the predetermined school or an open campus.

[0049] In this case, for example, the storage unit 12 stores in advance event information that associates the event location with the event time. The estimation unit 132 refers to the event information to identify the event time and the event location, and refers to the user's location history information acquired by the acquisition unit 131 to determine whether the user's mobile terminal 2 was present at the event location at the event time, thereby estimating whether the user will participate in the travel-related event.

[0050] [Analysis of the relationship between the use of designated virtual spaces and travel-related behavior] The analysis unit 133 analyzes the relationship between the user's use of the predetermined virtual space and the user's movement-related behavior with respect to a predetermined place, based on the user's movement-related behavior estimated by the estimation unit 132 and the user's usage status indicated by the usage status information acquired by the acquisition unit 131. The analysis unit 133 analyzes the relationship between the use of the predetermined virtual space and the movement-related behavior, based on the movement-related behavior of each of the multiple users estimated by the estimation unit 132 and the usage status indicated by the usage status information of each of the multiple users acquired by the acquisition unit 131.

[0051] For example, based on the user's travel-related behavior estimated by the estimation unit 132 and the usage status indicated by the usage status information acquired by the acquisition unit 131, the analysis unit 133 analyzes the relationship between whether or not a user who uses a specified virtual space has performed travel-related behavior and whether or not a user who does not use the specified virtual space has performed travel-related behavior.

[0052] In this case, first, the analysis unit 133 refers to the usage status information and identifies whether or not each of the multiple users has used the predetermined virtual space based on the usage status of each of the multiple users in a predetermined period. For example, the analysis unit 133 identifies whether or not the user has used the predetermined virtual space based on whether or not a location space ID corresponding to a predetermined location is associated with the user ID of the user in the usage status information corresponding to a predetermined period (e.g., six months).

[0053] Then, the analysis unit 133 analyzes the relationship between whether or not a user who has used a specified virtual space has engaged in travel-related behavior and whether or not a user who has not used a specified virtual space has engaged in travel-related behavior, based on whether or not long-term stay behavior and short-term stay behavior as travel-related behavior to a specified location estimated by the estimation unit 132 for each of the multiple users, and whether or not a specified virtual space has been used, identified for each of the multiple users.

[0054] For example, the analysis unit 133 calculates the ratio of the number of users who have performed a travel-related behavior to the number of users who have used a predetermined virtual space, and the ratio of the number of users who have not performed a travel-related behavior to the number of users who have used a predetermined virtual space. Similarly, the analysis unit 133 calculates the ratio of the number of users who have performed a travel-related behavior to the number of users who have not used a predetermined virtual space, and the ratio of the number of users who have not performed a travel-related behavior to the number of users who have not used a predetermined virtual space.

[0055] Here, the analysis unit 133 may calculate these ratios for each attribute of the user. For example, the analysis unit 133 may calculate these ratios for each gender, age, and occupation of the user. In this way, the analyst can analyze what attributes users who have a high relationship between the use of a predetermined virtual space and movement to a predetermined place have.

[0056] Furthermore, the analysis unit 133 may analyze the tendency of products purchased by users who performed the travel-related behavior, based on payment information included in the usage status information of the multiple users who performed the travel-related behavior. For example, the analysis unit 133 identifies the type of product that is likely to be purchased by users who performed the travel-related behavior, based on the payment information included in the usage status information of the multiple users who performed the travel-related behavior. In this way, the analyst can consider a new product for increasing interest in a predetermined place, based on the identified type of product.

[0057] Furthermore, the analysis unit 133 may analyze whether or not a user has moved to a predetermined location by using a predetermined virtual space, based on the time when the travel-related behavior estimated by the estimation unit 132 was performed and the time when the predetermined virtual space was used, which is indicated by the usage status information acquired by the acquisition unit 131. In this case, the analysis unit 133 calculates the ratio of the number of users who did not perform a travel-related behavior before the time when the predetermined virtual space was used and performed a travel-related behavior after the time when the predetermined virtual space was used, to the number of users who performed a travel-related behavior. Similarly, the analysis unit 133 calculates the ratio of the number of users who did not use the predetermined virtual space before the travel-related behavior, to the number of users who performed a travel-related behavior. In this way, the analyst can compare the two calculated ratios to analyze whether or not the use of the predetermined virtual space contributes to travel to a predetermined location.

[0058] Furthermore, the analysis unit 133 may analyze the relationship between the use of the predetermined virtual space by the user and the presence or absence of the user's participation in an event as the user's travel-related behavior estimated by the estimation unit 132. In this case, the analysis unit 133 calculates, for example, the ratio of the number of users who participated in a travel-related event to the number of users who used the predetermined virtual space. Similarly, the analysis unit 133 calculates, for example, the ratio of the number of users who participated in a travel-related event to the number of users who do not use the predetermined virtual space. In this way, the analyst can compare the two calculated ratios to analyze whether or not the use of the predetermined virtual space contributes to participation in a travel-related event.

[0059] Furthermore, when the estimation unit 132 estimates that the user has performed a long-term stay in a predetermined place as a travel-related behavior, the analysis unit 133 may analyze the relationship between the strength of the user's relationship with other users, which is indicated by the communication degree indicating the strength of the relationship with other users in the predetermined virtual space of the user, and the long-term stay in the predetermined place. In this case, the analysis unit 133 calculates, for example, the average communication degree of multiple users who have performed a long-term stay and the average communication degree of multiple users who have not performed a long-term stay. Furthermore, the analysis unit 133 calculates the distribution of the communication degrees of multiple users who have performed a long-term stay and the distribution of the communication degrees of multiple users who have not performed a long-term stay.

[0060] Furthermore, when the predetermined place is the location of a predetermined local government, the analysis unit 133 may analyze the degree of communication of the user in the predetermined virtual space with people related to the predetermined place and with other users not related to the predetermined place, and the correlation with the user's long-term stay in the predetermined place. In this case, the usage information includes the degree of communication of the user in the predetermined virtual space with people related to the predetermined local government, such as residents and workers of the predetermined local government, and the degree of communication of the user in the predetermined virtual space with other users not related to the predetermined local government.

[0061] Then, the analysis unit 133 calculates, for example, the average value or distribution of communication degrees between a plurality of users who have stayed for a long period of time and related parties of the specified local government, and the average value or distribution of communication degrees between the plurality of users who have stayed for a long period of time and related parties of the specified local government. Similarly, the analysis unit 133 calculates the average value or distribution of communication degrees between a plurality of users who have not stayed for a long period of time and related parties of the specified local government, and the average value or distribution of communication degrees between the plurality of users who have not stayed for a long period of time and related parties of the specified local government.

[0062] In this way, it is possible to analyze how a user's communication in a specified virtual space with related parties of a specified local government and communication with other users who are not related parties to the related parties affect, for example, long-term stays such as relocation in the real world. This makes it possible to consider whether to increase the number of users of the specified virtual space by residents of the local government, or to increase the number of users of the specified virtual space by other users unrelated to the local government, in order to increase the number of long-term residents such as relocates in the specified local government.

[0063] The analysis unit 133 may also analyze the relationship between the usage time or number of times of a specific virtual space of a user, which is indicated by the virtual space usage degree, and the user's long-term stay in a specific location. In this case, the analysis unit 133 calculates, for example, an average value of the virtual space usage degree corresponding to the specific virtual space of multiple users who have performed a long-term stay, and an average value of the virtual space usage degree corresponding to the specific virtual space of multiple users who have not performed a long-term stay. The analysis unit 133 also calculates a distribution of the virtual space usage degree of multiple users who have performed a long-term stay, and a distribution of the virtual space usage degree of multiple users who have not performed a long-term stay.

[0064] In this way, by calculating the average value and distribution of the communication level or virtual space usage level for users who are engaged in long-term stays and users who are not engaged in long-term stays, the analyst can determine whether the strength of a user's relationship with other users in a specified virtual space, or the level of virtual space usage, is related to the implementation of long-term stays.

[0065] The usage information also includes information indicating the usage of tourist facilities in the specified virtual space, and the analysis unit 133 may analyze the relationship between the usage of the tourist facilities in the specified virtual space by the user indicated by the usage information and the visit of the user to the specified location for the purpose of sightseeing estimated by the estimation unit 132. In this case, the analysis unit 133 calculates, for example, the usage rate of the tourist facilities in the specified location by the user who has used the tourist facilities in the specified virtual space, and the usage rate of the tourist facilities in the specified location by the user who has not used the tourist facilities in the specified virtual space. In this way, the analyst can determine whether the usage of the tourist facilities in the specified virtual space contributes to attracting customers to the tourist facilities in the actual specified location.

[0066] Furthermore, when the predetermined location is the location of a predetermined school, the analysis unit 133 may analyze whether or not the user has enrolled in the predetermined school by using the predetermined virtual space corresponding to the predetermined school, based on the estimation by the estimation unit 132 of whether the user has enrolled in the predetermined school and the usage time of the virtual space indicated by the usage status information acquired by the acquisition unit 131. In this case, the analysis unit 133 determines whether or not each of the multiple users who have enrolled in the predetermined school has used the predetermined virtual space corresponding to the predetermined school before enrolling in the predetermined school, based on the usage status information of the multiple users who have enrolled in the predetermined school. Then, the analysis unit 133 calculates the ratio of the number of users who have used the predetermined virtual space before enrolling in the predetermined school to the number of users who have enrolled in the predetermined school, and the ratio of the number of users who have not used the predetermined virtual space before enrolling in the predetermined school to the number of users who have enrolled in the predetermined school. In this way, the analyst can determine whether providing a predetermined school for the predetermined virtual space is effective in encouraging users to enroll in the predetermined school.

[0067] Furthermore, when the predetermined location is the location of a predetermined school, the analysis unit 133 may analyze the degree of communication between the user and other users in the predetermined virtual space and the user's enrollment in the predetermined school. In this case, the usage information includes at least one of a first index value indicating the degree of communication between the user and those related to the predetermined school in the predetermined virtual space and a second index value indicating the degree of communication between the user and those other users not related to the predetermined school in the predetermined virtual space. The first index value and the second index value are determined based on, for example, the amount of data of text chat or voice chat between the user and other users per unit time, or the time of communication via video, and the higher the index value, the greater the amount of communication.

[0068] Then, the analysis unit 133 analyzes the relationship between at least one of the first index value and the second index value and enrollment in the specified school. For example, the analysis unit 133 calculates the average value and distribution of at least one of the first index value and the second index value for each of a plurality of users who are estimated to have enrolled in the specified school, and the average value and distribution of at least one of the first index value and the second index value for each of a plurality of users who are estimated not to have enrolled in the specified school. In this way, the analyst can determine whether the user's communication with people related to the specified school in the specified virtual space and communication with other users not related to the specified school have an effect on the enrollment in the specified school.

[0069] [Analysis of expected movement] Although the analysis unit 133 analyzed the relationship between the user's use of the predetermined virtual space and the user's movement-related behavior with respect to the predetermined place, a different analysis may be performed. For example, when the estimation unit 132 cannot estimate the movement-related behavior of the user, the analysis unit 133 may analyze whether or not the user is likely to move to the predetermined place based on the usage status indicated by the usage status information acquired by the acquisition unit 131.

[0070] Specifically, the analysis unit 133 identifies the communication levels of the multiple users and the average virtual space utilization level of the specified virtual space based on the usage status information of the multiple users who performed the movement-related behavior in relation to the use of the specified virtual space. Then, when the estimation unit 132 cannot estimate the movement-related behavior of the user, the analysis unit 133 calculates an expected score, which is a score indicating the likelihood that the user will move to a specified location, based on the communication level and virtual space utilization level indicated by the usage status information corresponding to the user acquired by the acquisition unit 131 and the average communication level and virtual space utilization level of the identified multiple users. For example, the analysis unit 133 subtracts the average communication level of the multiple users from the user's communication level, and subtracts the average virtual space utilization level of the multiple users from the user's virtual space utilization level. Then, the analysis unit 133 calculates the expected score such that the larger the subtraction result, the higher the expected score.

[0071] In this case, the analysis unit 133 may analyze the likelihood that the user will move to a predetermined location based on the attributes of the user who is estimated not to have performed the travel-related behavior. In this case, the analysis unit 133 analyzes the relationship between the user's use of the predetermined virtual space and the user's travel-related behavior to the predetermined location for each user attribute, and identifies, among multiple attributes, the value of an attribute that is likely to cause a travel-related behavior in response to the use of the predetermined virtual space. For example, the analysis unit 133 identifies the age group, sex, occupation, family structure, hobbies, genres of interest, and amount of assets owned as the attribute values ​​of a user who is likely to perform a travel-related behavior in response to the use of the predetermined virtual space.

[0072] Then, the analysis unit 133 adjusts the expected score of the user based on the matching rate between the attribute value of the user who is estimated not to have performed the travel-related behavior and the specified attribute value. For example, the analysis unit 133 adjusts the expected score so that the higher the specified matching rate, the higher the expected score.

[0073] Furthermore, the analysis unit 133 may analyze whether or not the user is likely to move to a predetermined location, based on payment information indicating a payment made by the user in a predetermined virtual space indicated by the usage status information of the user estimated to have not performed a movement-related behavior, acquired by the acquisition unit 131. For example, the analysis unit 133 adjusts the expected score so that the higher the payment amount indicated by the payment information, the higher the expected score.

[0074] Furthermore, when the payment information includes product information indicating a product purchased by the user, the analysis unit 133 identifies the type of product that is likely to be purchased by multiple users who performed the travel-related behavior. Then, when the products purchased by the user, which are indicated by the payment information indicated by the usage status information of the user who is estimated not to have performed the travel-related behavior, include the identified type of product, the analysis unit 133 adjusts the expected score to be higher.

[0075] The acquisition unit 131 may also acquire, as the usage status information, biometric information of the user when the user is active in a predetermined virtual space. In this case, the user is fitted with a measuring device that measures the heart rate and emotions as biometric information of the user. The acquisition unit 131 then acquires the biometric information measured by the measuring device when the user is active in the predetermined virtual space. The analysis unit 133 then analyzes whether or not the user is likely to move to a predetermined location based on the biometric information indicated by the usage status information acquired by the acquisition unit 131. Here, the acquisition unit 131 acquires the biometric information measured by the measuring device, but is not limited thereto. For example, the acquisition unit 131 may acquire voice data of the user collected by the mobile terminal 2, and analyze the voice data to acquire emotion information indicating the emotion of the user as biometric information. The acquisition unit 131 may also acquire image data indicating a face image of the user captured by the mobile terminal 2, and analyze the image data to acquire facial expression information indicating the facial expression of the user as biometric information.

[0076] For example, if the heart rate indicated by the biometric information is high, or if the emotion or facial expression indicated by the biometric information indicates a positive emotion such as elation or joy, it is considered that the user has a positive view of the use of the predetermined virtual space and has a high favorability rating for the predetermined place. Therefore, if the average value of the heart rate as biometric information acquired when the user who is estimated not to have performed a movement-related behavior is active in the predetermined virtual space exceeds a predetermined value, or if the time during which the emotion as the biometric information indicates a positive emotion exceeds a predetermined time, the analysis unit 133 adjusts the expected score to be higher.

[0077] In this way, by calculating the expected score further based on the user's attributes, payment information corresponding to the specified virtual space, and biometric information, users with high expected scores from among multiple users can be identified as users who are likely to move to a specified location, and relevant parties at the specified location can take measures such as actively communicating with the user in the specified virtual space.

[0078] The output unit 134 outputs analysis result information indicating the analysis result by the analysis unit 133. For example, the output unit 134 outputs an analysis result screen summarizing a plurality of analysis results analyzed by the analysis unit 133 as the analysis result information to the analyst terminal 4, and causes the analyst terminal 4 to display the analysis result screen. FIG. 6 is a diagram showing an example of the analysis result screen. In the example shown in FIG. 6, it can be confirmed that the ratio of the number of users who have generated a movement-related behavior and the ratio of the number of users who have not generated a movement-related behavior, with respect to the users who have used the predetermined virtual space and the users who have not used the predetermined virtual space, and the ratio of users by attribute who have used the predetermined virtual space are displayed.

[0079] [Effects of information processing device 1] As described above, the information processing device 1 according to the present embodiment estimates a movement-related behavior related to a user's movement to a predetermined place based on location history information that associates a user ID for identifying a user with terminal location information indicating the location where the mobile terminal 2 used by the user was located, analyzes the relationship between the user's use of the virtual space and the user's movement-related behavior with respect to the predetermined place based on the movement-related behavior and the user's usage status of the virtual space simulating the predetermined place, and outputs analysis result information indicating the result of the analysis. In this way, the information processing device 1 can evaluate the provision of a predetermined place in the virtual space.

[0080] Furthermore, this invention will make it possible to contribute to Goal 9 of the United Nations' Sustainable Development Goals (SDGs), which is to "build resilient infrastructure, promote industry, innovation and infrastructure."

[0081] Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, all or part of the device can be configured by distributing or integrating functionally or physically in any unit. In addition, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment resulting from the combination combines the effect of the original embodiment. [Explanation of symbols]

[0082] 1. Information processing device 2. Mobile devices 3 Server 4. Analyst terminal 11 Communications Department 12 Storage section 13 Control section 131 Acquisition Department 132 Estimation Department 133 Analysis Department 134 Output section

Claims

1. an acquisition unit that acquires location history information that associates user identification information for identifying a user with terminal location information that indicates a location where a mobile terminal used by the user was located, and acquires usage status information that indicates a usage status of a virtual space that simulates a predetermined location by the user; an estimation unit that estimates a movement-related behavior of the user related to the movement to the predetermined location based on the location history information acquired by the acquisition unit; an analysis unit that analyzes a relationship between the user's use of the virtual space and the user's movement-related behavior with respect to the specified location, based on the movement-related behavior of the user estimated by the estimation unit and the usage status indicated by the usage status information acquired by the acquisition unit; an output unit that outputs analysis result information indicating an analysis result by the analysis unit; An information processing device having the above configuration.

2. the location history information includes the terminal location information indicating the location where the mobile terminal was present and time information indicating the time when the mobile terminal was present at the location, and the usage status information includes usage time information indicating the time when the user used the virtual space, The estimation unit estimates an execution time of the travel-related behavior based on the location history information; the analysis unit analyzes whether the user has moved to the predetermined location by using the virtual space, based on the performance time of the movement-related behavior estimated by the estimation unit and the use time of the virtual space indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 1 .

3. The estimation unit estimates, based on the location history information acquired by the acquisition unit, whether or not the user will participate in an event involving an action of moving to the predetermined location, as the movement-related action; The analysis unit analyzes a relationship between the use of the virtual space by the user and the presence or absence of the user's participation in the event as the travel-related behavior of the user estimated by the estimation unit. The information processing device according to claim 1 .

4. The acquisition unit acquires the location history information of each of a plurality of users and acquires the usage status information of each of the plurality of users; The estimation unit estimates the travel-related behavior of each of the plurality of users based on the position history information of each of the plurality of users acquired by the acquisition unit; The analysis unit analyzes a relationship between the use of the virtual space and the movement-related behavior based on the movement-related behavior of each of the plurality of users estimated by the estimation unit and the usage status indicated by the usage status information of each of the plurality of users acquired by the acquisition unit. The information processing device according to claim 1 .

5. The analysis unit analyzes whether or not a travel-related behavior of a user who uses the virtual space has occurred, and whether or not a travel-related behavior of a user who does not use the virtual space has occurred, based on the travel-related behavior of the user estimated by the estimation unit and the usage status indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 4.

6. the estimation unit identifies a place of residence of the user based on address information indicating an address of the user associated with the user identification information or the location history information, and estimates, as the travel-related behavior, whether the user has performed a long-term stay behavior, which is a behavior of staying at the specified place for a long period of time, or a short-term stay behavior, which is a behavior of staying at the specified place for a short period of time, based on a relationship between the identified place of residence of the user and the specified place. The information processing device according to claim 4.

7. the usage status information includes an index value indicating a strength of a relationship between the user and other users in the virtual space, When the estimation unit estimates that the user has performed a long-term stay at the predetermined place as the travel-related behavior, the analysis unit analyzes a relationship between a strength of a relationship between the user and another user, which is indicated by the index value, and the long-term stay at the predetermined place. The information processing device according to claim 6.

8. The index value is an index value indicating a degree of communication between the user and other users in the virtual space. The information processing device according to claim 7.

9. The usage status information includes an index value indicating the usage time or number of times of the user of the virtual space, The analysis unit analyzes a relationship between the usage time or the number of usages of the virtual space by the user, which is indicated by the index value, and a long-term stay of the user in the predetermined place. The information processing device according to claim 7.

10. when the estimation unit estimates that the user has performed a short stay at the specified place as the travel-related behavior, the estimation unit estimates whether the user has visited the specified place for the purpose of sightseeing, based on a relationship between a position of the mobile device indicated by the position history information and a position corresponding to a tourist facility present at the specified place; The information processing device according to claim 6.

11. the usage status information indicates a usage status of the tourist facility in the virtual space, The analysis unit analyzes a relationship between a usage status of the tourist facility in the virtual space indicated by the usage status information and a visit to the predetermined place by the user for a tourist purpose. The information processing device according to claim 10.

12. The predetermined location indicates a predetermined school, the location history information includes the terminal location information indicating the location where the mobile terminal was present and time information indicating the time when the mobile terminal was present at the location, and the usage status information includes usage time information indicating the time when the user used the virtual space, the estimation unit estimates, as the travel-related behavior, whether the user has enrolled in the specified school based on a location of the specified school and the location history information before and after a specified time period; The analysis unit analyzes whether the user has enrolled in the specified school as a result of using the virtual space, based on the estimation by the estimation unit as to whether the user has enrolled in the specified school and the use time of the virtual space indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 1 .

13. the usage status information includes at least one of a first index value indicating a degree of communication between the user and people associated with the specified school in the virtual space, and a second index value indicating a degree of communication between the user and other users not associated with the specified school in the virtual space, The acquisition unit acquires the location history information of each of a plurality of users and acquires the usage status information of each of the plurality of users; The analysis unit analyzes a relationship between at least one of the first index value and the second index value and enrollment in the specified school. The information processing device according to claim 12.

14. the analysis unit, when the estimation unit is unable to estimate the travel-related behavior of the user, analyzes whether or not the user is likely to travel to the predetermined location based on the usage status indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 1 .

15. The acquisition unit acquires, as the usage status information, payment information indicating a payment made by the user in the virtual space simulating the predetermined place, The analysis unit analyzes whether or not the user is likely to move to the predetermined location based on the payment information indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 14.

16. a measuring device that measures biological information of the user is attached to the user; the acquisition unit acquires, as the usage information, biological information of the user measured by the measurement device when the user is active in the virtual space simulating the predetermined place, the analysis unit analyzes whether or not the user is likely to move to the predetermined location based on the biological information indicated by the usage status information acquired by the acquisition unit. The information processing device according to claim 14.

17. The computer executes acquiring location history information that associates user identification information for identifying a user with terminal location information that indicates a location where a mobile terminal used by the user was present, and acquiring usage status information that indicates a usage status of a virtual space simulating a predetermined location by the user; estimating a movement-related behavior related to the movement of the user to the predetermined location based on the acquired location history information; analyzing a relationship between the user's use of the virtual space and the user's movement-related behavior with respect to the predetermined location based on the estimated movement-related behavior of the user and the usage status indicated by the acquired usage status information; outputting analysis result information indicating a result of the analysis; An information processing method comprising the steps of:

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