JP7163263B2 - Output device, output method and output program - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to an output device, an output method, and an output program.

In recent years, MaaS (Mobility as a service) technology has been discussed that realizes movement of users by using mobile bodies such as buses and taxis. In order to make the movement of users using such mobile bodies more efficient, for example, there is known a technique for estimating areas where there is a high possibility that passengers are present, based on information from in-vehicle sensors installed on the mobile body. there is

JP-A-2002-81957

However, with the above-described technology, there is a possibility that it may not be possible to promote appropriate use by the user.

For example, by using MaaS technology, we provide users with mobility services using various vehicles such as buses and taxis, various trains such as subways, and various mobile vehicles such as bicycles. A fee-based subscription-type service may be offered. However, the above-described technology cannot prevent unauthorized use of a pass for using a mobile object. Further, it takes time and effort to perform detailed authentication of the user each time the mobile body is used.

The present application has been made in view of the above, and aims to facilitate appropriate use by users.

When the output device according to the present application detects use of a predetermined mobile body by a user, based on the tendency of the usage history of the mobile body by the user, and an output unit for outputting a notification requesting confirmation of the user when it is determined that the use of the predetermined mobile unit is not by the user. It is characterized by

According to one aspect of the embodiment, it is possible to promote appropriate use by the user.

FIG. 1 is a diagram illustrating an example of output processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of an information providing system according to the embodiment. FIG. 3 is a diagram illustrating an example of a usage history storage unit according to the embodiment; FIG. 4 is a flow chart showing a processing procedure according to the embodiment. FIG. 5 is a hardware configuration diagram showing an example of a computer that implements the functions of the information providing apparatus.

Embodiments for implementing an output device, an output method, and an output program (hereinafter referred to as "embodiments") according to the present application will be described below with reference to the drawings. Note that the output device, the output method, and the output program according to the present application are not limited by this embodiment. In addition, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[Overview of output processing]
First, an example of output processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of output processing according to the embodiment.

For example, when a subscription-type service is provided to a user who uses the mobile unit M1, the information providing apparatus 10 described below can be used to determine the tendency of the usage history of the mobile unit M1 by the user. Based on this, it is determined whether or not the mobile object M1 is used by the user. When the information providing apparatus 10 determines that the user is not provided with the service, the information providing apparatus 10 outputs a notification requesting confirmation of the user to the mobile unit M1. The term "subscription form" as used herein refers to a form in which a user pays monthly or yearly fees for receiving mobile services provided by various mobile units M1. A user who has registered in a subscription format can use a mobile object that can receive service provision, for example, using a pass that holds the user's ID.

The mobile M1 includes various vehicles such as buses and taxis, various trains such as subways, and two-wheeled vehicles such as bicycles. The mobile unit M1 includes a short-range wireless communication device capable of reading the ID included in the user's pass, and a long-range wireless communication device capable of communicating with the information providing device 10 . A short-range wireless communication device is a device equipped with a short-range wireless communication technology such as NFC or Bluetooth (registered trademark). A long-distance wireless communication device is, for example, a NIC (Network Interface Card).

Here, an example of output processing will be specifically described. The information providing device 10 causes the learning model to learn the characteristics of the usage history of the mobile unit for each user who can receive the service (S1). Here, it is assumed that GU and RU are the users who can receive service provision. For example, the information providing apparatus 10 saves the GU information acquired from the mobile object M1 in the GU usage history. Then, the information providing apparatus 10 generates a learning model in which the usage history of the GU is input and the information indicating the usage by the GU is output. The usage history includes, for example, the type of mobile body used by the user, route, boarding position, alighting position, usage time period, weather, and the like. Similarly, the information providing apparatus 10 generates a learning model in which the movement history of the RU is input and the information indicating the usage by the RU is output.

Under such circumstances, it is assumed that the user GU has boarded the mobile object M1, which is the object of the service, with a pass holding an ID1 (ID: Identifier) for identifying the GU (S2).

On the other hand, the user RU illegally lends out to the user BU the pass holding the ID2 for identifying the RU (S3). Then, it is assumed that the user BU has boarded the mobile object M1, which is the object of the service, with the pass holding the ID2 (S4).

Then, the moving object M1 notifies the information providing device 10 of the ID of the user who has boarded the vehicle (S5). For example, the mobile unit M1 acquires the ID1 of the user GU by using the short-range wireless communication device, and notifies the information providing device 10 of the acquired ID1 using the long-range wireless communication device. The mobile unit M1 acquires the ID2 of the user BU using the short-range wireless communication device, and notifies the information providing device 10 of the acquired ID2 using the long-distance communication device.

The information providing device 10 that has received the ID of the user inputs the characteristics of the mode of movement of the moving body M1 on which the user rides into the learning model associated with each user, and determines whether or not the movement is by the person himself/herself. (S6). That is, the information providing apparatus 10 determines whether or not the characteristics of the usage mode when the user used the mobile body in the past are similar to the characteristics of the input usage mode. It is determined that the use of M1 is not by the user.

As an example, the information providing apparatus 10 inputs the type of the mobile object M1 of the user who has boarded the vehicle M1 into the learning model linked with the ID of the user as a feature of the usage mode, Determine whether or not there is

As another example, the information providing apparatus 10 inputs the feature of the boarding position of the moving body M1 of the user who boarded the vehicle into the learning model linked with the ID of the user as the feature of the usage mode, and It is determined whether or not the movement is by the user himself/herself.

As another example, the information providing apparatus 10 inputs the characteristics of the alighting position of the movement by the mobile object M1 of the user who got on the board into the learning model linked with the user's ID as the characteristics of the usage mode, and It is determined whether or not the movement is by the user himself/herself.

As another example, the information providing apparatus 10 inputs the movement route of the mobile object M1 of the user who has boarded the vehicle into the learning model linked with the ID of the user as a feature of the usage mode, and the user corresponding to the ID It is determined whether or not the movement is by the person himself/herself.

As another example, the information providing apparatus 10 inputs the time period when the user who has boarded the mobile object M1 uses the mobile object M1 into the learning model associated with the ID of the user as a feature of the usage mode, and It is determined whether or not the movement is by the user himself/herself.

The characteristics of the movement mode to be input to the learning model may be a single item such as the type of mobile object, boarding position, alighting position, movement route, time period, etc., or an item group combining a plurality of items. may be

Then, when the information providing apparatus 10 determines that the movement is not by the person himself/herself, the information providing apparatus 10 notifies the mobile unit M1 to confirm the user having the ID for which it is determined that the movement is not by the person himself (S7). Here, for ID2, since the user corresponding to ID2 is RU, the information providing device 10 inputs the characteristics of the movement mode of the moving object M1 on board into the learning model associated with RU. It is determined that the person (RU) did not move. That is, the information providing apparatus 10 does not match the characteristics of the usage mode when the user RU used the mobile unit in the past and the input characteristics of the usage mode when the user BU uses the mobile unit M1. It is determined that the use of mobile unit M1 is not by user RU. Then, the information providing device 10 notifies the user BU having ID2 to the mobile unit M1 to confirm.

Thereafter, the mobile unit M1 displays, for example, a monitor to notify the user BU having the ID2 of confirmation. When such notification is displayed on the monitor, the mobile unit M1 confirms the user BU. Verbal authentication by a person, palm authentication, face authentication, iris authentication, or verbal authentication by a person may be used to confirm the user.

In other words, when a subscription-type service is provided, the information providing device 10 learns the past boarding patterns of the user who receives the service, and when detecting a boarding pattern that is not similar to the boarding pattern, issues an alert. Output. Then, the information providing device 10 allows the mobile object M1 to confirm whether the user is valid. As a result, the information providing apparatus 10 can prevent unauthorized use of the path for using the mobile object M1. In addition, since the information providing apparatus 10 does not perform detailed authentication of the user each time the mobile object M1 is used, it is possible to save labor for authentication. That is, the information providing device 10 can be used appropriately by the user.

[System configuration]
Next, the configuration of the information providing system 1 including the information providing device 10 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of an information providing system according to the embodiment. As illustrated in FIG. 2 , the information providing system 1 according to the embodiment includes an information providing device 10 and a terminal device 100 . The information providing device 10 and the terminal device 100 are communicably connected via a network N by wire or wirelessly. In addition, although one terminal device 100 is included in the information providing system 1 shown in FIG. 2, a plurality of terminal devices 100 may be included.

The terminal device 100 transmits and receives information to and displays information from the information providing device 10 and a short-range wireless communication device (not shown). The terminal device 100 has a position specifying function, such as a GPS (Global Positioning System) function, in order to specify the user's get-on position and get-off position. The terminal device 100 is an in-vehicle terminal arranged on a moving body, and is, for example, a tablet terminal, a notebook PC, or a desktop PC, but may be a dedicated terminal device or the like.

For example, when the user uses a mobile object, the terminal device 100 transmits the user's ID read by the short-range wireless communication device and the usage mode of the user obtained by the terminal device 100 through long-distance wireless communication. It transmits to the information providing apparatus 10 via the device. The short-range wireless communication device is, as described above, a device equipped with a short-range wireless communication technology such as NFC or Bluetooth. A long-range wireless communication device is, for example, a NIC.

As an example, the terminal device 100 acquires the user's ID read by the short-range wireless communication device from the pass possessed by the user when the user uses a mobile object. In addition, the terminal device 100 acquires the usage mode of the user when the user uses the mobile object, such as the date and time, the type of the mobile object, the boarding position, and the alighting position. Information stored in advance in the storage unit of the terminal device 100 may be obtained as the type of mobile object. As the boarding position, location information such as the station name and place obtained from the position information obtained by GPS when the user gets on the mobile body may be obtained. As the alighting position, location information obtained by GPS when the user gets off the mobile body, and point information such as a station name and a location obtained from the positional information may be obtained. The terminal device 100 then transmits the user's ID and usage mode to the information providing device 10 .

Note that the timing of acquiring the alighting position may be determined using a short-range wireless communication device arranged at the door of the moving body, for example. That is, when the user gets off the mobile body, the short-range wireless communication device attached to the door of the mobile body reads the user ID, the terminal device 100 acquires the read user ID, The position information or point information at the time of acquisition may be used as the get-off position.

Also, the terminal device 100 receives a notification requesting confirmation of the user from the information providing device 10 and displays it on the monitor.

Here, a pass is a medium necessary for a user to receive subscription-type services. The pass holds the ID of the user who can receive the service. Also, the pass can be realized by, for example, an IC card such as Suica (registered trademark) or a mobile phone including a smart phone.

The information providing device 10 has a communication section 20 , a control section 40 and a storage section 30 .

The communication unit 20 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 100 and the like. The communication unit 20 is implemented by, for example, a NIC.

The storage unit 30 stores various information. The storage unit 30 is implemented by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 30 has a usage history storage unit 31 as a usage history of usage patterns of users.

The usage history storage unit 31 stores the usage history of the moving object for each user. An example of the usage history storage unit 31 will now be described with reference to FIG. FIG. 3 is a diagram illustrating an example of a usage history storage unit according to the embodiment; As shown in FIG. 3, the usage history storage unit 31 stores items such as "user ID", "user information", "usage history", and "determination model" in association with each other.

"User ID" is identification information that identifies a user. The user ID is synonymous with IDs such as ID1 and ID2 used in the description.

"User information" is the information of the user indicated by the user ID. "User information" includes, for example, name, address, and date of birth. In addition, the "user information" may include the place of work, etc., if the user is a member of society. In addition, the "user information" may include contact information for a parent or guardian if the user is a minor.

“Usage history” is information related to the history when the user indicated by the user ID uses the mobile object. The "usage history" includes, for example, small items such as "date and time", "mobile information", "boarding position", and "dropping position". "Date and time" indicates the date and time when the user indicated by the user ID used the mobile object. The "date and time" may be the usage time period. "Mobile information" indicates the type of mobile used by the user indicated by the user ID. The types of moving bodies include, for example, various vehicles such as buses and taxis, various trains such as subways, and two-wheeled vehicles such as bicycles. "Boarding position" indicates the position when the user indicated by the user ID boarded the moving object. The boarding position may be, for example, the longitude and latitude at which the train is boarded, or may be a station name or place estimated from the boarding position. Further, when the moving body is a train, for example, the boarding position may be information such as the number of the car, the number of the car and the door. "Getting off position" indicates the position when the user indicated by the user ID gets off the moving body. The alighting position may be, for example, the longitude and latitude of the alighting position, or may be a station name or place estimated from the alighting position. Further, when the moving object is a train, for example, the alighting position may be information such as the number of the car, the number of the car and the door. The sub-items of "usage history" may include "route" and "weather", or may include other sub-items. The "route" may be any information as long as it shows the route taken from the boarding position to the alighting position. The "weather" may be information about the weather when the user uses the mobile object.

“Determination model” is information indicating a learning model associated with the user ID. The “judgment model” indicates a learning model for judging whether the use of a mobile object by a user is an authorized user. A “determination model” is generated by the learning unit 41, which will be described later.

Returning to FIG. 2 , the control unit 40 is, for example, a controller, and uses a CPU (Central Processing Unit), MPU (Micro Processing Unit), etc. to perform various functions stored in the storage device inside the information providing apparatus 10. It is implemented by executing the program using the RAM as a work area. Also, the control unit 40 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 40 has a learning unit 41 , an acquisition unit 42 , a determination unit 43 and an output unit 44 .

The learning unit 41 learns so that when a user inputs a usage mode when a user has used a moving body in the past, information indicating that it is by the user of the moving body is output. In other words, the learning unit 41 learns the characteristics of the usage mode of the user using the mobile object. The term "user" here refers to a person who has made a contract with a service provider in order to receive a subscription-type service. For example, the learning unit 41 uses the usage history storage unit 31 to perform the following process for each user ID. The learning unit 41 reads a plurality of usage histories associated with the user ID. The learning unit 41 generates a learning model in which a plurality of read usage histories are input and information indicating usage is output. In other words, the learning unit 41 receives a plurality of read usage histories as input and generates a learning model in which information indicating that the usage history is used by the user himself/herself is output. Note that the learning unit 41 may generate the learning model at the timing when the usage history is accumulated to some extent, or may generate the learning model at a predetermined timing.

Any type of learning model can be adopted as the learning model described above. For example, the information providing device 10 may adopt SVM (Support Vector Machine) or DNN (Deep Neural Network) as a learning model. Here, the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network). Also, the RNN may be LSTM (Long short-term memory) or the like. That is, any type of learning model can be adopted as the learning model. Also, the learning model may be a learning model realized by combining a plurality of learning models, such as a learning model combining CNN and RNN, for example.

The acquisition unit 42 acquires the usage mode of the user at the time of usage by the user. For example, the acquisition unit 42 acquires the user ID and usage mode of the user from the terminal device 100 . Further, when the determination unit 43, which will be described later, determines that the acquired usage mode is the usage by the user himself/herself, the acquisition unit 42 associates the acquired usage mode with the user ID and stores the usage history storage unit 31 in the usage history storage unit 31. to register.

If the determination unit 43 detects that the user has used the predetermined mobile object, the determination unit 43 determines whether the user has used the predetermined mobile object based on the tendency of the user's usage history of the mobile object. determine whether For example, when the acquisition unit 42 acquires the user ID of the user and the usage mode of the user, the determination unit 43 uses the learning model corresponding to the user ID to determine the acquired usage mode of the user. , it is determined whether or not the user corresponding to the user ID has used the mobile unit of the user. That is, the determination unit 43 inputs the acquired usage mode of the user to the learning model corresponding to the user ID, and determines whether or not the movement is by the user corresponding to the user ID.

As an example, the determining unit 43 uses a learning model corresponding to the user ID to determine whether the feature of the past usage pattern (usage history) corresponding to the user ID is similar to the acquired feature of the usage pattern of the user. You may decide whether to

As another example, the determination unit 43 uses a learning model corresponding to the user ID to determine whether the boarding position when the user used a moving body in the past and the boarding position in the acquired usage mode of the user are determined. You may judge whether it is similar.

As another example, the determining unit 43 uses a learning model corresponding to the user ID to determine the drop-off position when the user used a moving body in the past and the drop-off position in the acquired usage mode of the user. You may judge whether it is similar.

As another example, the determination unit 43 uses the learning model corresponding to the user ID to determine the type of mobile object when the user used the mobile object in the past, It may be determined whether or not the body type is similar.

As another example, the determination unit 43 uses a learning model corresponding to the user ID to determine whether the route when the user used a mobile object in the past is similar to the route obtained in the usage mode of the user. It may be determined whether

As another example, the determination unit 43 uses the learning model corresponding to the user ID to determine whether the time period when the user used a moving object in the past and the time period in the acquired usage mode of the user are different. You may judge whether it is similar.

Note that the determination unit 43 uses the learning model corresponding to the user ID to determine whether or not the user corresponding to the user ID uses the mobile object of the user based on the acquired usage mode of the user. explained that it will judge However, the determination unit 43 uses the usage history storage unit 31 instead of the learning model to compare the characteristics of the past usage pattern (usage history) corresponding to the user ID and the characteristics of the acquired usage pattern of the user. It may be determined whether or not the user corresponding to the user ID has used the mobile unit of the user based on whether or not they are similar. For example, the determination unit 43 quantifies the closeness between features to be compared with each other based on a method of comparing the quantified values, and determines whether the acquired features of the usage mode of the user are similar. may be determined.

The output unit 44 outputs a notification requesting the user's confirmation when it is determined that the use of the predetermined mobile unit is not due to the user. For example, the output unit 44 outputs an alert to the terminal device 100 that is the transmission source when the determination unit 43 determines that the user corresponding to the user ID does not use the mobile object. . The alert may be a character string indicating confirmation, a warning mark, or a warning sound. As a result, the output unit 44 can prevent unauthorized use of the path for using the mobile object.

[Processing procedure]
Next, with reference to FIG. 4, a procedure of processing by the information providing device 10 according to the embodiment will be described. FIG. 4 is a flow chart showing a processing procedure according to the embodiment.

The information providing device 10 determines whether or not a user ID has been received from the mobile terminal device 100 (step S101). If it is determined that the user ID has not been accepted (step S101; No), the information providing apparatus 10 repeats the determination process until the user ID is accepted.

On the other hand, when it is determined that the user ID has been received (step S101; Yes), the information providing device 10 performs the following processing. In other words, the information providing apparatus 10 determines whether or not the characteristics of the movement mode (usage mode) indicated by the usage history associated with the user ID are similar to the usage mode of the new moving body received together with the user ID. , it is determined whether the user is the person himself/herself (step S102). For example, the information providing apparatus 10 is a learning model that has been learned to output information indicating that the usage history (usage mode) of the mobile device corresponding to the user ID is input, and that the usage is by the user of the mobile device. is used to determine whether or not the use of the mobile object is by the user corresponding to the user ID, based on the characteristics of the usage mode of the mobile object by the user.

When the information providing device 10 determines that the usage is by the person who indicates the user corresponding to the user ID (step S103; Yes), the processing ends.

On the other hand, when the information providing device 10 determines that the user corresponding to the user ID is not used by the person himself/herself (Step S103; No), the information providing device 10 notifies the terminal device 100 of the mobile body that the use is by someone other than the person himself/herself. (step S104). That is, the information providing device 10 outputs an alert to the mobile terminal device 100 when the characteristics of the received movement manner and the characteristics of the movement manner of the user corresponding to the user ID are not similar. to confirm that it is from a legitimate user. The information providing device 10 then terminates the process.

[Modification]
The information providing device 10 described above may be implemented in various different forms other than the above embodiment. So, below, the modification of embodiment is demonstrated.

[Modification 1]
In the above embodiment, the information providing apparatus 10 uses the learning model corresponding to the user to determine the characteristics of the usage mode when the user used a moving body in the past and An example of determining whether or not the features of usage modes are similar has been described. In such an example, the information providing apparatus 10 determines that the use of the predetermined mobile unit is not caused by the user when the information is not similar, and outputs a notification requesting confirmation of the user to the terminal apparatus 100 .

Here, the information providing apparatus 10 calculates a score indicating the dissimilarity between the characteristics of the manner of use when the user used a mobile object in the past and the characteristics of the manner of use when the user uses a predetermined mobile object. It may be calculated and whether or not the calculated score exceeds a predetermined threshold may be determined. In this modification, if the calculated score exceeds a predetermined threshold, the information providing apparatus 10 determines that the use of the predetermined mobile object is not caused by the user, and sends a notification requesting confirmation of the user to the terminal. Output to device 100 .

For example, the information providing apparatus 10 calculates a DTW (Dynamic Time Warping) score (DTW distance) for features to be compared as a score indicating dissimilarity, and determines whether the calculated score exceeds a predetermined threshold. may be determined. Then, when the calculated score exceeds a predetermined threshold, the information providing apparatus 10 determines that the use of the predetermined mobile object is not caused by the user, and sends a notification requesting confirmation of the user to the terminal apparatus 100. output.

[Modification 2]
In the above embodiment, when the user ID of the user and the usage mode of the user are acquired, the information providing apparatus 10 uses the learning model corresponding to the user ID to obtain the acquired usage mode of the user. , it is determined whether or not the user corresponding to the user ID has used the mobile unit of the user. If the information providing device 10 determines that the user corresponding to the user ID is not using the mobile unit, that is, if it is determined that the user is not provided with the service, the information providing apparatus 10 confirms the user with the mobile unit. is output to the terminal device 100 .

Here, when the information providing apparatus 10 receives a response from the user to the notification requesting confirmation of the user, that is, the user himself/herself to whom the service is provided, It may be determined that the usage mode is different from usual, and some kind of notification may be sent to a predetermined area included in the user information. As an example, when the unusual mode of use is “route”, the information providing apparatus 10 includes “(user) Mr. xxx has changed jobs?” in the user information. You may notify your place of employment. As another example, if the unusual mode of use is the “route” and the user is a minor, the information providing device 10 may indicate that “(user) xxx is taking a bus on an unusual route. is being used." may be notified to the guardian included in the user information. In addition, by acquiring location information and time information of the area where the user usually behaves in relation to each other, even if the area where the user usually lives in the area is different, or the day of the week and time when the user usually behaves Notification may be made when the patterns are different. As an example, when the location information and time information of the user's behavior are different from when the user usually behaves, it may be determined that the user is traveling or on a business trip.

In the second modification, when the information providing apparatus 10 determines that the use of the mobile object is not by the user corresponding to the user ID, the information providing apparatus 10 once prompts the mobile object to confirm the user. explained. However, the information providing device 10 is not limited to this, and when it determines that the use of the mobile device is likely to be by the user corresponding to the user ID, it determines that the usage mode is different from usual, Some notification may be sent directly to a predetermined area included in the user information.

[Hardware configuration]
The information providing device 10 and the terminal device 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 5, for example. The information providing device 10 will be described below as an example. FIG. 5 is a hardware configuration diagram showing an example of a computer that implements the functions of the information providing apparatus. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, a HDD (Hard Disk Drive) 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F). ) 1700.

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, programs depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via communication network 500 (corresponding to network N shown in FIG. 2), sends data to CPU 1100, and transmits data generated by CPU 1100 to other devices via communication network 500. Send to device.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . Also, CPU 1100 outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the information providing apparatus 10 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control section 40 by executing programs loaded on the RAM 1200 . The data in the storage unit 30 is also stored in the HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from other devices via communication network 500 .

〔others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution/integration of each device is not limited to the illustrated one, and all or part of them can be functionally or physically distributed/integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. For example, the determination unit 43 and the output unit 44 shown in FIG. 2 may be integrated. Further, for example, the information stored in the storage unit 30 may be stored via the network N in an external storage device.

Further, for example, in the above-described embodiment, the example in which the information providing apparatus 10 performs the learning process of learning the usage mode of the user and the determination process of determining using the learning model has been described. However, the information providing device 10 described above may be separated into a learning device that performs learning processing and a determination device that performs determination processing. In this case, the learning device has at least a learning unit 41 . The determination device has at least an acquisition unit 42 , a determination unit 43 and an output unit 44 . Further, processing by the information providing device 10 according to the embodiment is implemented by the information providing system 1 including devices such as a learning device and a determination device.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing content.

〔effect〕
As described above, the information providing device 10 according to the embodiment has the determination section 43 and the output section 44 . When detecting the use of the predetermined mobile body by the user, the determination unit 43 determines whether or not the use of the predetermined mobile body is by the user based on the tendency of the usage history of the mobile body by the user. determine whether The output unit 44 outputs a notification requesting the user's confirmation when it is determined that the use of the predetermined mobile unit is not due to the user.

As described above, the information providing apparatus 10 according to the embodiment, when it is determined that the use of a predetermined mobile object is not caused by the user by using the tendency of the usage history of the mobile object by the user, Output a notification requesting confirmation. As a result, the information providing apparatus 10 can prevent unauthorized use of, for example, a pass used to use a mobile object. Moreover, since the information providing apparatus 10 does not perform detailed authentication of the user each time the user uses a mobile object, it is possible to save labor for authentication. That is, the information providing device 10 can be used appropriately by the user.

In addition, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines that the characteristics of the usage mode when the user has used a moving body in the past and the characteristics of the usage mode when the user has used a predetermined mobile body. If not similar, it is determined that the user did not use the predetermined mobile unit.

In this way, the information providing apparatus 10 can determine that the usage that is not similar to the pattern of the usage mode is not due to the user by using the characteristics of the history of the usage mode for user determination. As a result, the information providing apparatus 10 can be used appropriately by the user.

Further, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines that if the boarding position when the user used a moving body in the past is not similar to the boarding position when the user uses a predetermined moving body, , it is determined that the use of the predetermined mobile unit is not by the user.

In this way, the information providing apparatus 10 uses the feature of the boarding position for user determination, so that it can determine that the use that is not similar to the boarding position pattern as the usage mode is not by the user. As a result, the information providing apparatus 10 can be used appropriately by the user.

In addition, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines that if the alighting position when the user used a mobile body in the past is not similar to the alighting position when the user used a predetermined mobile body, , it is determined that the use of the predetermined mobile unit is not by the user.

In this way, the information providing apparatus 10 uses the characteristics of the drop-off position for user determination, and thus can determine that usage that does not resemble the pattern of the drop-off position as a usage mode is not caused by the user. As a result, the information providing apparatus 10 can be used appropriately by the user.

In addition, the determination unit 43 of the information providing apparatus 10 according to the embodiment, when the moving route of the moving object used by the user in the past and the moving route of the predetermined moving object are not similar, the predetermined moving object It is determined that the use of is not by the user.

In this way, the information providing apparatus 10 uses the characteristics of the route along which the moving object moves to determine the user, and thus can determine that the usage that does not resemble the pattern of the route as the movement mode is not due to the user. . As a result, the information providing apparatus 10 can be used appropriately by the user.

Further, if the type of mobile body used by the user in the past is not similar to the type of the predetermined mobile body, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines that the use of the predetermined mobile body is used. It is determined that it is not caused by a person.

In this way, the information providing apparatus 10 uses the type of mobile object to determine the user, and thus can determine that the use of a different type of mobile object is not caused by the user. As a result, the information providing apparatus 10 can be used appropriately by the user.

In addition, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines that the time period when the user used a moving body in the past does not resemble the time period when the user uses a predetermined moving body. If so, it is determined that the use of the given mobile unit is not by the user.

In this way, the information providing apparatus 10 uses the time period during which the mobile object is used for user determination, thereby recognizing that the usage that does not resemble the pattern of the time period as the mode of movement is not caused by the user. I can judge. As a result, the information providing apparatus 10 can be used appropriately by the user.

In addition, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines the characteristics of the usage mode when the user used a moving body in the past and the characteristics of the usage mode when the user uses a predetermined mobile body. A score indicating dissimilarity is calculated, and if the calculated score exceeds a predetermined threshold, it is determined that the use of the predetermined mobile object is not by the user.

In this way, the information providing apparatus 10 uses a score that indicates the dissimilarity between the characteristics of the history of usage mode and the characteristics of the usage mode of the user's use of a predetermined mobile body for user determination. As a result, the information providing apparatus 10 can determine that the use with a dissimilarity score greater than the threshold is not by the user. As a result, the information providing apparatus 10 can be used appropriately by the user.

In addition, when the user inputs the usage mode when the user has used a mobile object in the past, the determination unit 43 of the information providing apparatus 10 according to the embodiment indicates that the user has used the mobile object. Using a model that has been trained to output information, it is determined whether or not the user is using the predetermined mobile object based on how the user uses the predetermined mobile object.

In this way, the information providing apparatus 10 can predict that the use of a predetermined mobile object is not caused by the user by using the learning model for user determination. As a result, the information providing apparatus 10 can be used appropriately by the user.

Further, the determination unit 43 of the information providing apparatus 10 according to the embodiment determines whether or not the user uses a predetermined mobile object for which a fee is charged in a subscription format.

As a result, the information providing apparatus 10 can prevent unauthorized use by users who have not registered for a subscription.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means", "circuit", or the like. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information providing system 10 information providing device 20 communication unit 30 storage unit 31 usage history storage unit 40 control unit 41 learning unit 42 acquisition unit 43 determination unit 44 output unit 100 terminal device

Claims (12)

When the use of a specified mobile object by a user is detected in a specified form of mobile service, the usage mode of the user's usage history of the mobile object and the detected use of the specified mobile object and a learning model that is associated with the user's identification information and that has learned the characteristics of the user's usage history of the mobile object. A determination unit that determines whether or not the use of is by the user;
and an output unit that outputs a notification requesting confirmation of the user to the predetermined mobile body when it is determined that the use of the predetermined mobile body is not by the user. output device. If the feature of the usage mode when the user used a moving body in the past and the feature of the usage mode when the user used the predetermined mobile body are not similar, the determination unit determines whether the predetermined moving body 2. The output device according to claim 1, wherein it is determined that the use of the body is not by the user. If the boarding position at which the user used a moving body in the past is not similar to the boarding position at which the user used the predetermined moving body, the determination unit determines that the use of the predetermined moving body is not possible. 3. The output device according to claim 2, wherein it is determined that it is not caused by the user. The determination unit determines that, if the exit position when the user used a moving body in the past is not similar to the exit position when the user uses the predetermined moving body, the use of the predetermined moving body 4. The output device according to claim 2 or 3, wherein it is determined that the output is not caused by the user. The determination unit determines that, when the route traveled by the mobile body used by the user in the past and the route traveled by the predetermined mobile body are not similar, the use of the predetermined mobile body is by the user. 5. The output device according to any one of claims 2 to 4, characterized in that it determines that it is not. The determination unit determines that the use of the predetermined mobile object is not by the user when the type of the mobile object used by the user in the past is not similar to the type of the predetermined mobile object. The output device according to any one of claims 2 to 5, characterized in that: If the time period when the user used a moving body in the past and the time period when the user used the predetermined moving body are not similar, the determination unit determines whether the predetermined moving body 7. The output device according to any one of claims 2 to 6, wherein it determines that the usage of is not by said user. The determination unit calculates a score that indicates dissimilarity between a usage mode feature when the user has used a mobile body in the past and a usage mode feature when the user uses a predetermined mobile body. 8. The method according to any one of claims 2 to 7, wherein if the calculated score exceeds a predetermined threshold, it is determined that the use of the predetermined mobile object is not by the user. output device. The determination unit is trained so that when the user inputs a usage mode when the user has used a mobile object in the past, the determination unit outputs information indicating that the user has used the mobile object. and determining whether or not the user has used the predetermined mobile unit based on how the user uses the predetermined mobile unit, using the model obtained from the above model. An output device according to any one of the preceding claims. 10. The judging unit judges whether or not the predetermined mobile unit is used by the user for a mobile unit for which charges are incurred in a subscription format. 1. An output device according to claim 1. An output method executed by an output device,
When the use of a specified mobile object by a user is detected in a specified form of mobile service, the usage mode of the user's usage history of the mobile object and the detected use of the specified mobile object and a learning model that is associated with the user's identification information and that has learned the characteristics of the user's usage history of the mobile object. A determination step of determining whether or not the use of is by the user;
and an output step of outputting a notification requesting confirmation of the user to the predetermined mobile body when it is determined that the use of the predetermined mobile body is not by the user. and output method. When the use of a specified mobile object by a user is detected in a specified form of mobile service, the usage mode of the user's usage history of the mobile object and the detected use of the specified mobile object and a learning model that is associated with the user's identification information and that has learned the characteristics of the user's usage history of the mobile object. A determination procedure for determining whether or not the use of is by the user;
and causing a computer to execute an output procedure of outputting a notification requesting confirmation of the user to the predetermined mobile body when it is determined that the use of the predetermined mobile body is not caused by the user. output program for

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