Information processing system, information processing method, and program

Abstract

This information processing system includes: an information acquisition unit that acquires place information indicating at least one place among a departure point of a user who uses a mobile body, a destination point of the user, and a via-point between the departure point and the destination point; and a control unit that creates content targeting the user by inputting, to artificial intelligence, input information based on the place information acquired by the information acquisition unit.

Description

Information processing system, information processing method, and program

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

[0002] Conventional elevator advertising devices generate passenger attribute information from images of passengers inside the elevator car, and display data extracted from multiple display data stored in a table in a display data storage unit based on the generated passenger attribute information (see, for example, Patent Document 1).

[0003] Japanese Patent Application Laid-Open No. 2017-218257

[0004] The elevator advertising device described above has a problem in that a huge amount of display data must be created in advance in order to display display data suitable for users with various attributes who use a moving object such as an elevator.

[0005] The present disclosure has been made in consideration of the above circumstances, and aims to easily create content aimed at users who use mobile devices.

[0006] One aspect of the present disclosure that solves the above-mentioned problems is an information processing system that includes an information acquisition unit that acquires location information indicating at least one of the departure point of a user using a mobile device, the destination of the user, and a waypoint between the departure point and the destination, and a control unit that creates content targeted at the user by inputting input information based on the location information acquired by the information acquisition unit into artificial intelligence.

[0007] Furthermore, one aspect of the present disclosure is an information processing method in an information processing system, which includes an information acquisition step in which an information processing acquisition unit acquires location information indicating at least one of the departure point of a user using a mobile device, the destination of the user, and a waypoint between the departure point and the destination, and a control step in which a control unit creates content targeted at the user by inputting input information based on the location information acquired in the information acquisition step into artificial intelligence.

[0008] Furthermore, one aspect of the present disclosure is a program for causing a computer in an information processing system to function as an information acquisition unit that acquires location information indicating at least one of the departure point of a user using a mobile device, the destination of the user, and an intermediate point between the departure point and the destination, and a control unit that creates content targeted at the user by inputting input information based on the location information acquired by the information acquisition unit into artificial intelligence.

[0009] As described above, according to the present disclosure, content aimed at users who use mobile objects can be easily created.

[0010] FIG. 1 is a diagram showing an example of the overall configuration of an information processing system in a first embodiment. FIG. 2 is a sequence diagram showing an example of a processing procedure executed by the information processing system in the first embodiment in relation to the presentation of content to a user who is riding in an elevator car. FIG. 3 is a sequence diagram showing an example of a processing procedure executed by the information processing system in the first embodiment in response to a change of content according to a user's evaluation. FIG. 4 is a sequence diagram showing an example of a processing procedure executed by the information processing system in the first embodiment in response to the presentation of content with a playback time according to the user's riding time. FIG. 5 is a sequence diagram showing an example of a processing procedure executed by the information processing system in the first embodiment in relation to the presentation of content including a user's avatar.

[0011] First Embodiment [Overall Configuration Example of Information Processing System] Fig. 1 shows an overall configuration example of an information processing system according to a first embodiment. The information processing system according to this embodiment presents content to a user U traveling in an elevator car 100 (an example of a moving object). In the figure, an example is given in which the content is presented in the elevator car 100 by displaying a video of the content on a display monitor 101 (an example of a first device) provided inside the car 100. Note that the content may be presented by audio instead of video, or by a combination of video and audio. The display monitor 101 displays the video in accordance with the control of the information processing device 300.

[0012] The car 100 is provided with an operation panel 102. The operation panel 102 is used by a user U to perform an operation to specify a destination floor.

[0013] The car 100 may also be provided with a camera 103. The camera 103 captures an image of a user U inside the car 100. The captured image of the user U may be used to obtain, for example, appearance information indicating the user's appearance. The appearance information may be used to generate content suited to the corresponding user U. The camera 103 may be communicably connected to the information processing device 300.

[0014] The elevator control device 200 controls the movement of the car 100. The car 100 performs control corresponding to movement to a call floor where an elevator call operation has been performed by a user U waiting to board, and movement to a destination floor specified by an operation on the operation panel 102. The elevator control device 200 is connected to an information processing device 300 so as to be able to communicate with the car 100.

[0015] The information processing device 300 executes information processing for presenting content to a user U riding in the car 100. The figure shows an example of the functional configuration of the information processing device 300. The information processing device 300 may be configured to include, as hardware, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), etc. The functions of the information processing device 300 shown in the figure are realized by the CPU provided in the information processing device 300 executing a program.

[0016] The information processing device 300 includes an information acquisition unit 301, a control unit 302, and an advertising material information storage unit 303. The information acquisition unit 301 acquires information elements to be included in input information to be input to the trained model stored in the artificial intelligence 400 when the trained model creates content.

[0017] The control unit 302 executes control to cause the trained model to generate content and control to display the generated content on the display monitor 101.

[0018] The advertising material information storage unit 303 stores advertising material information to be included in the input information to be input to the trained model. That is, in this embodiment, the content presented on the display monitor 101 is, for example, an advertisement having content corresponding to the advertising material information stored in the advertising material information storage unit 303. Note that the content presented on the display monitor 101 is not limited to advertisements, and may be, for example, news, weather forecasts, etc.

[0019] The artificial intelligence 400 constructs a trained model known as generative AI (Artificial Intelligence) that creates content based on input information, and provides (deploys) the constructed trained model so that it can be used by the control unit 302 of the information processing device 300.

[0020] The artificial intelligence 400 includes a model control unit 401, a trained model storage unit 402, and a reference information storage unit 403.

[0021] The model control unit 401 performs control related to the construction of a trained model through learning processing, the storage of the constructed trained model in the trained model storage unit 402, and the use of the stored trained model by the control unit 302.

[0022] The trained model storage unit 402 stores the trained model constructed by the model control unit 401.

[0023] The reference information storage unit 403 stores reference information that the trained model refers to when creating content.

[0024] [Processing Procedure Example: Content Presentation] With reference to the sequence diagram of Figure 2, an example of a processing procedure executed by the information processing system of this embodiment in relation to presenting content to a user U aboard the car 100 will be described. Step S100: The elevator control device 200 acquires destination floor information (an example of location information) indicating a destination floor (an example of a destination) specified by the user U aboard the car 100 by operating the operation panel 102. Note that, for example, a mobile terminal carried by the user U may be communicably connected to the elevator control device 200, and the destination floor information may be transmitted from the mobile terminal to the elevator control device 200 in response to the user U performing an operation to specify a destination floor on the mobile terminal. Alternatively, an operation panel that can be operated to specify a destination floor may be provided at the elevator hall, and the destination floor information indicating the destination floor specified by an operation performed on the operation panel may be acquired by the elevator control device 200.

[0025] Step S102: The elevator control device 200 also acquires departure floor information (an example of location information) indicating the floor where the car 100 was stopped when the operation to specify the destination floor information in step S100 was performed as the departure floor (an example of a departure point). The elevator control device 200 controls the car 100 to move from the departure floor to the specified destination floor. The location information is information indicating at least one of the departure point of a user U using a mobile object, the destination of the user U, and intermediate points between the departure point and the destination. Specifically, the destination floor information is location information indicating the destination floor specified by the user U using the elevator car 100, and the departure floor information is location information indicating the departure floor from which the user U using the elevator car 100 boards the car 100. In this embodiment, the location information is the departure floor information and the destination information. Note that when the mobile object is the elevator car 100, the intermediate point may be, for example, a floor between the departure floor and the destination floor. The intermediate point may also be a floor at which the car 100 stops between the time the car 100 departs from the departure floor and the time the car 100 arrives at the destination floor.

[0026] Step S104: The elevator control device 200 also acquires user information indicating predetermined attributes of the user U who boarded the car 100. For example, the elevator control device 200 may estimate attributes of the user U, such as the age group, age, and gender, by analyzing the captured image of the user U captured by the camera 103. The elevator control device 200 may also estimate attributes of the user, such as the user's physique, clothing, and hairstyle, by analyzing the captured image. For example, when the user U has a card reader read the user U's identification card before boarding the car 100, the elevator control device 200 may acquire profile information of the user U from a user database (not shown) or the like based on the user U's identification information read from the identification card by the card reader. Specific examples of the profile information may include the user U's age, age group, gender, residential area, family structure, hobbies, and occupation.

[0027] Step S106: The elevator control device 200 transmits content creation and usage information, including the destination floor information, departure floor information, and user information acquired in steps S100 to S104, to the information processing device 300. The content creation and usage information transmitted in step S106 is acquired by the information acquisition unit 301 of the information processing device 300. In this case, the information acquisition unit 301 acquires location information (destination floor information, departure floor information) and user information. Note that the user information may be generated by the information acquisition unit 301. In other words, the content creation and usage information transmitted from the elevator control device 200 in step S106 includes an image captured by the camera 103. The information acquisition unit 301 may acquire the user information by estimating attributes of the user U, such as gender, age group, and age, from the captured image included in the content creation and usage information.

[0028] Step S108: Based on the content creation use information acquired in step S106, the control unit 302 extracts advertising material information (an example of content configuration information) to be used in the current content creation from the advertising material information stored in the advertising material information storage unit 303. At this time, the information acquisition unit 301 may extract advertising material information that matches the location information and user information included in the acquired content creation use information. As a specific example, the information acquisition unit 301 may extract advertising material information advertising stores or products sold at stores located on a destination floor indicated by the destination floor information included in the content creation use information. Furthermore, the information acquisition unit 301 may extract advertising material information that matches predetermined attributes, such as gender and age group, indicated by the user information included in the content creation use information.

[0029] Step S110: In the information processing device 300, the control unit 302 generates input information including the content creation usage information (destination floor information, departure point information, and user information) acquired in response to step S106 and the advertising material information extracted in step S108.

[0030] Step S112: The control unit 302 inputs the input information generated in step S110 into the trained model stored in the trained model storage unit 402 of the artificial intelligence 400.

[0031] Step S114: The trained model creates content in response to the input information entered in step S112. The created content may reflect the location information (destination floor information, departure location information) included in the content creation usage information and the user information included in the content creation usage information, in addition to the advertising material information extracted in step S108. The content created by the trained model may be a still image or a video. In step S110, the control unit 302 may generate input information that does not include content creation usage information but includes advertising material information. In this case, the content created in step S114 reflects the advertising material information extracted in step S108. The content created in step S114 may be a still image or a video with audio added. In this case, step S114 may utilize, for example, a video generation trained model that creates video content and an audio generation trained model that creates audio corresponding to the content of the created video content. Alternatively, a single trained model capable of creating content including video and audio may be utilized.

[0032] Step S116: The trained model outputs the content created in step S114 to the information processing device 300.

[0033] Step S118: The control unit 302 of the information processing device 300 transmits the content output in step S116 to the display monitor 101 of the car 100.

[0034] Step S120: The display monitor 101 plays the content transmitted in step S118. By playing the content on the display monitor 101 in this manner, the user U in the car 100 can view the video (and audio) of the content containing the advertising content targeted to him or her.

[0035] [Processing Procedure Example: Changing Playback Content According to Evaluation] In this embodiment, the content played on the display monitor 101 may be changed according to the evaluation of the content by the target user U. An example of a processing procedure in which the information processing system of this embodiment changes the content according to the evaluation of the user U will be described with reference to the sequence diagram of FIG.

[0036] Step S200: The display monitor 101 is in a state where it is reproducing the content transmitted from the information processing device 300.

[0037] Step S202: While the content is being played in step S200, the elevator control device 200 acquires evaluation usage information that is used to generate evaluation information indicating an evaluation of the content being played by a user U who is viewing the content being played in the elevator car 100. The elevator control device 200 may acquire, as the evaluation usage information, a captured image obtained by capturing an image of the user U using the camera 103, for example. The captured image serving as the evaluation usage information may be a still image or a video.

[0038] Step S204: The elevator control device 200 transmits the evaluation use information acquired in step S202 to the information processing device 300.

[0039] Step S206: In the information processing device 300, the information acquisition unit 301 acquires evaluation information. That is, the information acquisition unit 301 generates evaluation information indicating the user U's evaluation of the content by using the evaluation usage information transmitted in step S204. The information acquisition unit 301 may use, as the evaluation information, a value obtained by quantifying the degree to which the user U is gazing at the display monitor 101 on which the content is being played, based on the state of the user U's line of sight in the captured image. Furthermore, for example, if the captured image is a video, the information acquisition unit 301 may also use, as the evaluation information, a value obtained by quantifying the length of time the user U is gazing at the display monitor 101 on which the content is being played.

[0040] Step S208: The control unit 302 determines the degree of interest of the user U in the content being played based on the evaluation information obtained in step S206. For example, the control unit 302 may determine that the user U is highly interested if the value of the evaluation information is higher than a predetermined threshold, and may determine that the user U is not highly interested if the value of the evaluation information is equal to or lower than the predetermined threshold. If the evaluation is determined to be high, i.e., the user U is highly interested, the processing from step S210 onwards may be skipped. If the evaluation is determined to be low, i.e., the user U is not highly interested, the processing from step S210 onwards is executed.

[0041] Step S210: If it is determined in step S208 that the evaluation is low, a process for changing the content to be played is executed, for example, as follows: First, the control unit 302 extracts, from the advertising material information storage unit 303, advertising material information that is different from that used in the previous content playback, based on the content creation and usage information corresponding to the same user U as used in the previous content generation.

[0042] Step S212: The control unit 302 generates input information including content creation and usage information corresponding to the same user U as in the previous content generation, and the advertising material information extracted in step S210.

[0043] The processes of steps S214 to S220 are the same as steps S112 to S118 in Fig. 2. That is, the process of step S214 is the same as the process of step S112, the process of step S216 is the same as the process of step S114, the process of step S218 is the same as the process of step S116, and the process of step S220 is the same as the process of step S118. The content created by the trained model in step S216 is different from the content whose playback is stopped in step S222, which will be described later.

[0044] Step S222: The display monitor 101 changes the content to be reproduced. That is, the display monitor 101 stops the content that has been reproduced so far, and instead reproduces the content transmitted in step S220. In this way, if the content reproduced on the display monitor 101 receives a low rating from the user U, different content is reproduced, thereby increasing the possibility of providing content that is more interesting to the user U.

[0045] Note that playback of the content transmitted in step S220 may be started after the display monitor 101 has completed playback of the content that has been played up to that point. Note that the evaluation information indicating the user U's evaluation of the content acquired by the information acquisition unit 301 in step S206 may be used when creating content targeted at other users U. For example, after a first user U boards and disembarks the car 100, a second user U having the same location information as the first user U may board the car 100. In such a case, while the first user U is boarding the car 100, the information acquisition unit 301 may acquire evaluation information indicating the first user U's evaluation of the content. Thereafter, when the second user U boards the car 100, the control unit 302 may extract advertising material information based on the location information of the second user U and the evaluation information of the first user U.

[0046] [Example of Processing Procedure: Creating Content According to Boarding Time] For example, the time that a user U spends in the elevator car 100 (boarding time) varies depending on the speed of the moving body and the distance between the departure floor and the destination floor. For example, if content for a predetermined period of time is played in the car 100 while the user U is in the car 100, it may happen that the playback of the content is not completed even though the user U has arrived at the destination floor, or that the playback of the content ends before the user U arrives at the destination floor. Therefore, the information processing system of this embodiment may be configured to present to the user U content with a playback time according to the user U's boarding time in the elevator 100.

[0047] 4, an example of a processing procedure executed by the information processing system of this embodiment in response to playback of content with a playback time corresponding to the boarding time of user U will be described. The processing of steps S300 to S306 is the same as steps S100 to S106 in FIG. 1. That is, the processing of step S300 is the same as the processing of step S100, the processing of step S302 is the same as the processing of step S102, the processing of step S304 is the same as the processing of step S104, and the processing of step S306 is the same as the processing of step S106.

[0048] Step S308: In the information processing device 300, the control unit 302 calculates the boarding time for the user U to board the elevator 100. For example, the control unit 302 may calculate the boarding time based on the floor difference between the departure floor indicated by the departure floor information and the destination floor indicated by the destination floor information included in the content creation usage information acquired by the information acquisition unit 301 in response to step S306, and the travel time required to travel a unit number of floors. Specifically, for example, the boarding time may be calculated by multiplying the floor difference (the absolute value of the difference between the departure floor and the destination floor) by the travel time per floor. Alternatively, for example, a table correlating departure floors, destination floors, and boarding times may be stored in a memory accessible to the information processing device 300, and the control unit 302 may acquire the boarding time by referencing the table. Alternatively, the control unit 302 may calculate the boarding time by adding the travel time for the car 100 to move according to the floor difference and the time for the car 100 to stop at floors between the departure floor and the destination floor.

[0049] Step S310: The control unit 302 extracts advertising material information to be used in the current content creation from the advertising material information stored in the advertising material information storage unit 303, in accordance with the content creation usage information acquired in response to step S306.

[0050] Step S312: In the information processing device 300, the control unit 302 generates input information including the content creation usage information (destination floor information, departure point information, and user information) acquired in response to step S306, the boarding time calculated in step S308, and the advertising material information extracted in step S310.

[0051] Step S314: The control unit 302 inputs the input information generated in step S312 into the trained model stored in the trained model storage unit 402 of the artificial intelligence 400.

[0052] Step S316: The trained model creates content in response to the input information entered in step S314. In this case, the trained model may create content with a playback time set based on the boarding time included in the input information. For example, the trained model may create content with a playback time equal to or shorter than the boarding time. Specifically, it may create content with a playback time equal to the boarding time. The trained model may also create a piece of content with a playback time that starts when the user departs from the departure floor and ends when the user arrives at the destination floor. Furthermore, the trained model may create a piece of content with a playback time several seconds shorter than the boarding time. A few seconds is, for example, three seconds. After user U boards the elevator, there is a period of time during the boarding time when user U cannot face the display monitor due to pressing the destination floor button or preparing to disembark from the car. By shortening the content playback time to be shorter than user U's boarding time in this way, it is possible to prevent user U from missing the content.

[0053] Alternatively, the trained model may create multiple pieces of content corresponding to, for example, the boarding time. In this case, the total playback time of the multiple pieces of content may correspond to the boarding time. For example, the trained model may create content whose total playback time is equal to or shorter than the boarding time. The trained model may create each piece of content so that the total playback time of the multiple pieces of content is the same as the boarding time. Furthermore, the trained model may create multiple pieces of content so that if playback of the first piece of content starts when departing from the departure floor, playback of the last piece of content ends when arriving at the destination floor. Furthermore, the trained model may create multiple pieces of content whose total playback time is several seconds shorter than the boarding time. When creating multiple pieces of content in this way, an upper limit on the number of pieces of content that can be created for the target user U may be specified, and the trained model may create multiple pieces of content within the specified upper limit. As a specific example of creating multiple pieces of content within the upper limit, for example, the control unit 302 of the information processing device 300 may calculate individual playback times by dividing the total playback time by a specified upper limit, and then create multiple pieces of content whose individual playback times are the same as the upper limit. In this case, the information acquisition unit 301 and control unit 302 of the information processing device 300 may repeat the processes of steps S108 to S116 in FIG. 2 the same number of times as the upper limit, and when creating content in step S114, may provide the trained model with a prompt including the same playback time as the individual playback time. In this case, in step S108 from the second time onwards, the information acquisition unit 301 may extract advertising material information extracted in the previous step S108 or advertising material information excluding advertising material information extracted in steps S108 up to the previous times. Through this process, the upper limit number of contents each having an individual playback time are created. In step S118 of FIG. 2, the control unit 302 causes the display 101 to continuously play the same number of created contents as the upper limit number.As another example of creating multiple pieces of content within an upper limit, the control unit 302 may specify that the number of pieces of content to be created must be within a predetermined upper limit, and input a constraint specifying a total playback time into the trained model, so that the trained model creates pieces of content with a number and playback time that satisfy the constraint.

[0054] Furthermore, for example, a user U may be able to change the destination floor by operating the operation panel 102 while riding in the elevator 100 and moving between floors after specifying a destination floor. In this case, after the operation to change the destination floor is performed, the elevator control device 200 may transmit destination floor information indicating the changed destination floor to the information processing device 300. The control unit 302 updates the input information used to create the currently played content with the destination floor information indicating the changed destination floor. That is, the control unit 302 replaces the destination floor information indicating the pre-change destination floor included in the input information with the destination floor information indicating the changed destination floor. The control unit 302 may also extract advertising material information corresponding to the changed destination floor and replace the advertising material information corresponding to the pre-change destination floor included in the input information with advertising material information corresponding to the changed destination floor. The control unit 302 may input the updated input information into the trained model, causing the trained model to recreate the content. By displaying the content thus recreated on the display monitor 101, the user U can view the video of the content corresponding to the changed destination floor instead of the content corresponding to the destination floor before the change.

[0055] [Example of Processing Procedure: Creating Content Using User's Avatar] In the information processing system of this embodiment, content including an avatar of a user U who is in an elevator may be created and presented to the user U. With reference to the sequence diagram of FIG. 5 , an example of processing procedure executed by the information processing system of this embodiment in relation to the presentation of content including the avatar of the user U will be described.

[0056] The processes of steps S400 to S404 may be the same as steps S100 to S104 in Fig. 1. That is, the process of step S400 is the same as the process of step S100, the process of step S402 is the same as the process of step S102, and the process of step S404 is the same as the process of step S104.

[0057] Step S406: The elevator control device 200 further acquires appearance information of the user U. The appearance information is information indicating the appearance of the user U. Here, the appearance of the user U may be information indicating the external appearance of the user U, such as the user U's outline, hairstyle, physique, clothing, etc., omitting facial features such as the eyes, nose, and mouth of the user U. Such appearance information may be acquired based on an image captured by the camera 103.

[0058] Step S408: The elevator control device 200 transmits content creation and usage information, including the destination floor information, departure floor information, user information, and appearance information acquired in steps S400 to S406, to the information processing device 300. The content creation and usage information transmitted in step S408 is acquired by the information acquisition unit 301 of the information processing device 300. In this case, the information acquisition unit 301 acquires location information (destination floor information, departure floor information), user information, and appearance information. Note that the appearance information may also be generated by the information acquisition unit 301, similar to the user information. In other words, the content creation and usage information transmitted from the elevator control device 200 in step S106 includes an image captured by the camera 103. The information acquisition unit 301 may generate the appearance information from the captured image included in the content creation and usage information.

[0059] Step S410: Based on the content creation use information acquired in step S408, the control unit 302 extracts the advertising material information to be used in the current content creation from the advertising material information stored in the advertising material information storage unit 303.

[0060] Step S412: In the information processing device 300, the control unit 302 generates input information including the content creation usage information (destination floor information, departure point information, user information, and exterior information) acquired in response to step S408 and the advertising material information extracted in step S410.

[0061] Step S414: The control unit 302 inputs the input information generated in step S412 into the trained model stored in the trained model storage unit 402 of the artificial intelligence 400.

[0062] Step S416: The trained model creates content in response to the input information entered in step S414. In this case, the trained model generates an avatar for user U using the appearance information included in the input information. The trained model creates content (avatar content) that associates the advertising material indicated by the advertising material information with the user's avatar. Specifically, for example, if the advertising material information is information about a certain product, avatar content may be created that shows user U's avatar using or wearing the product. For example, if the advertising material information is information about a certain service, avatar content may be created that shows user U's avatar receiving the service.

[0063] By executing the processes of steps S418 to S422, the avatar content is played on display monitor 101. In this case, user U can view content in which his or her corresponding avatar appears, which increases user U's interest in the content.

[0064] In this embodiment, content is created each time using a trained model as the generative AI, so there is no need to prepare a huge amount of display data in advance. In this way, the information processing system of this embodiment makes it possible to easily create content for users U who use the moving object such as the elevator car 100.

[0065] Second Embodiment Next, a second embodiment will be described. In the second embodiment, an example is given in which the moving body that the user U boards is an airplane.

[0066] In the information processing system of this embodiment in which the moving object is an airplane, the content creation usage information (departure point information, destination information, user information, etc.) may be acquired by reading ticket information for boarding confirmation at a boarding gate or the like, from an application used by the user U on a terminal such as a smartphone when purchasing a ticket or using other services provided by the airline, or from an airline system that stores passenger information held by the airline. The passenger information may be, for example, information including gender, age, etc. registered by the user U when purchasing an airplane ticket. Furthermore, if the content creation usage information includes appearance information, the information processing device 300 may generate the appearance information based on an image captured by a camera installed at the boarding gate, for example.

[0067] In this case, the information processing device 300 and the artificial intelligence 400 may be provided on the airplane. Alternatively, the information processing device 300 and the artificial intelligence 400 may be provided on a network, and the information processing device 300 may be connected to an information processing system of the airplane so as to be able to communicate with it.

[0068] In this case, the display monitor 101 may be provided for each seat in the aircraft. Alternatively, the content may be played back not only on the display monitor 101 but also on a user terminal such as a smartphone or tablet carried by the user U.

[0069] With this configuration, the information processing system can easily create different content using a trained model to suit each user U boarding the same plane, and can present each of the created contents on the display monitor 101 or user terminal of the corresponding user U.

[0070] Third Embodiment Next, a third embodiment will be described. In the third embodiment, an example is given in which the moving body in which the user U boards is a taxi.

[0071] In the information processing system of this embodiment in which the mobile object is a taxi, the content creation usage information (such as departure point information, destination information, and user information) may be obtained, for example, from information reserved in a taxi company's dispatch system by a user using a dispatch application used to reserve a taxi. The content creation usage information may also be obtained from information reserved in a taxi company's dispatch system by a user U operating a reservation device, such as a touch panel, installed at a taxi stand. The content creation usage information may also be obtained by estimating the destination and other information by analyzing the user U's voice input into the reservation device installed at the taxi stand. Furthermore, if the content creation usage information includes appearance information, the appearance information may be generated based on, for example, an image captured by a camera installed at the taxi stand.

[0072] In this case, the information processing device 300 and the artificial intelligence 400 may be provided, for example, on a network, and the taxi may be communicatively connected to the information processing device 300.

[0073] In this case, the display monitor 101 may be installed in a position inside the taxi where the user U can view it.

[0074] With this configuration, the information processing system can easily create content suitable for user U in a taxi using a trained model and present the created content to user U.

[0075] Fourth Embodiment Next, a fourth embodiment will be described. In the fourth embodiment, an example is given in which the moving body on which the user U rides is a PMV (Personal Mobility Vehicle).

[0076] In the information processing system of this embodiment in which the moving object is a PMV, the content creation usage information (such as departure point information, destination information, and user information) may be acquired from information reserved in the reservation system using, for example, a rental application used by a user U to reserve a PMV rental. Furthermore, if the content creation usage information includes appearance information, for example, an image taken by the user U using a user terminal may be transmitted from the reservation system to the information processing device 300 via the rental application, and the appearance information may be generated using the image received by the information processing device 300.

[0077] In this case, the information processing device 300 and the artificial intelligence 400 may be provided on a network, for example, and the PMV may be communicably connected to the information processing device 300.

[0078] In this case, the display monitor 101 may be provided at a position where the user U can view the PMV.

[0079] With this configuration, the information processing system can easily create content suitable for a user U on board a PMV using a trained model, and present the created content to the user U. Note that in this embodiment, audio content without video may also be created, taking into consideration the possibility that the user U may be operating the PMV, for example.

[0080] Fifth Embodiment Next, a fifth embodiment will be described. In the fifth embodiment, an example will be given in which the moving body on which the user U boards is a train.

[0081] In the information processing system of this embodiment in which the moving object is a train, the content creation usage information (such as departure point information, destination information, and user information) may be obtained, for example, from route information set in a train operation application, such as a transfer guide, that the user U uses on a user terminal such as a smartphone. Alternatively, the content creation usage information may be obtained from section information recorded on an IC card commuter pass in response to entry through a ticket gate using the IC card commuter pass. Furthermore, if the content creation usage information includes appearance information, for example, an image captured by a camera of the user U at the time of passing through the ticket gate using the IC card may be transmitted to the information processing device 300, and the appearance information may be generated using the image received by the information processing device 300.

[0082] In this case, the information processing device 300 and the artificial intelligence 400 may be provided on a network, for example, and the train may be connected to the information processing device 300 so that it can communicate with the train.

[0083] In this case, the display monitor 101 may be provided in a position inside the train where the user U can view it.

[0084] With this configuration, the information processing system can easily create content suitable for a user U on a train using the train-trained model and present the created content to the user U. In the case of a train, for example, multiple users U whose travel routes overlap at least partially are present in the same train. Therefore, the control unit 302 may cause the trained model to create identical content that is common to multiple users U whose travel routes overlap, and present the content in the train. Meanwhile, the control unit 302 may cause the trained model to create content personalized for a user U based on the travel route set in the train application for that user U or the travel section recorded on the user's IC card commuter pass, and present the content in the train. Furthermore, the device on which the content is presented may be, in addition to the display monitor 101, a user terminal carried by the user U, for example.

[0085] Sixth Embodiment Next, a sixth embodiment will be described. In the sixth embodiment, an example will be given in which the moving body that the user U boards is a bus.

[0086] In the information processing system of this embodiment in which the moving object is a bus, the content creation usage information (such as departure point information, destination information, and user information) may be obtained from route information set in a bus operation application, such as a bus transfer guide, that user U uses on a user terminal such as a smartphone. Alternatively, the content creation usage information may be obtained from section information recorded on an IC card commuter pass when the IC card pass is read by a card reader installed near the bus entrance / exit. Furthermore, if the content creation usage information includes appearance information, for example, an image captured by a camera of user U presenting an IC card when boarding the bus may be transmitted to the information processing device 300, and the appearance information may be generated using the image received by the information processing device 300.

[0087] In this case, the information processing device 300 and the artificial intelligence 400 may be provided on a network, for example, and the bus may be communicably connected to the information processing device 300.

[0088] In this case, the display monitor 101 may be installed in a position inside the bus where the user U can view the content. The device on which the content is presented may be, in addition to the display monitor 101, a user terminal carried by the user U, for example.

[0089] With this configuration, the information processing system can easily create content suitable for a user U on a bus using the trained model and present the created content to the user U. In the case of a bus, for example, multiple users U whose travel routes overlap at least partially are present in the same vehicle. Therefore, the control unit 302 may cause the trained model to create content with content common to multiple users U whose travel routes overlap, and present the content in the vehicle. On the other hand, the control unit 302 may cause the trained model to create content with content tailored to a specific user U based on the travel route set in the travel application for the user U or the travel section recorded on the user's IC card commuter pass, and present the content in the vehicle.

[0090] <Modifications> Modifications of the above embodiments are described below. [First Modification] When extracting advertising material information from the advertising material information storage unit 303 (steps S108, S310, S410) during content creation, the control unit 302 of the information processing device 300 may extract multiple pieces of advertising material information. The control unit 302 may then classify the extracted multiple pieces of advertising material information into multiple sections based on predetermined conditions (e.g., distance, time, elapsed points, etc.) of the travel route of the mobile object from its departure point to its destination. That is, the control unit 302 may classify the multiple pieces of advertising material information into sections based on the time or distance of the travel of the mobile object. As a specific example, if the mobile object is a train, the sections can be divided by the stations between the departure station and the destination station, and the advertising material information can be classified into each section. The control unit 302 may classify the extracted multiple pieces of advertising material information as corresponding to at least one of the multiple sections. The control unit 302 may use the classified advertising material information to cause the trained model to create content corresponding to each of the multiple sections. In this case, one or more pieces of content may be created corresponding to one section. Furthermore, the control unit 302 may control the display monitor 101 (or the user terminal) so that the content for the corresponding section is played back each time the mobile object moves through multiple sections. As a specific example, the control unit 302 may acquire advertising material information for each of multiple stores located along the travel route, and classify the acquired pieces of advertising material information in association with the stores located in each section. The content for each section generated using the classified advertising material information has content advertising the stores located in the corresponding section.

[0091] [Second Modification] The display monitor 101 that presents content to the user U may be provided not only inside the vehicle but also at the departure location. Specifically, if the vehicle is an elevator 100, the display monitor 101 (an example of the second device) provided at the departure location may be provided in an elevator hall. If the vehicle is an airplane, the display monitor 101 may be provided in a departure lobby or a waiting room. If the vehicle is a taxi, the display monitor 101 may be provided in a waiting area. If the vehicle is a PMV, the display monitor 101 may be provided in a port where rental PMVs are stored. If the vehicle is a train, the display monitor 101 may be provided on a station platform, for example. If the vehicle is a bus, the display monitor 101 may be provided at a bus stop.

[0092] When the display monitor 101 is installed at the departure point as described above, the control unit 302 may calculate the waiting time, which is the time that the user U will wait at the departure point before boarding the vehicle.

[0093] For example, if the mobile object is a train or bus, the control unit 302 may calculate the waiting time as the difference between the arrival time when the mobile object arrives at a location (departure point) such as a station platform or bus stop and the current time.

[0094] Furthermore, for example, information on the current location of a mobile object moving toward a departure point may be transmitted from the mobile object or a system controlling the mobile object to the information processing device 300. Then, the control unit 302 of the information processing device 300 may estimate the time it will take for the mobile object to reach the departure point from its current location, and set the estimated time as the standby time.

[0095] The control unit 302 may cause the trained model to create content having content related to the location as the departure point and a playback time that is set to be completed within the waiting time, and may cause the created content to be played on a display monitor 101 provided at the departure point.

[0096] The display monitor 101 that presents content to the user U may also be provided at the destination location. In this case, the control unit 302 of the information processing device 300 may create content having details related to the destination location. The control unit 302 may also control the display monitor 101 to play content from the time when the user U, who is riding on a moving object, reaches the destination, gets off the moving object, and becomes able to observe the display monitor 101.

[0097] The control unit 302 may also cause the learned model to create content having a playback time corresponding to the user U's boarding time and to be played on the display monitor 101 in the vehicle, according to the processing procedure of FIG. 4 . Here, the playback time corresponding to the user U's boarding time may be a time included in the user U's boarding time. Specifically, the playback time corresponding to the user U's boarding time may be the same as the boarding time. Furthermore, the playback time corresponding to the user U's boarding time may be a time from a point a few seconds after the start of the boarding time to the end of the boarding time, a time from a point a few seconds after the start of the boarding time to a few seconds before the end of the boarding time, or a time from the start of the boarding time to a few seconds before the end of the boarding time. Then, the control unit 302 may control playback to start on the display monitor 101 in the vehicle when the user U boards the vehicle after the waiting time has elapsed. That is, the control unit 302 may create content corresponding to the waiting time (an example of the first content) and content corresponding to the boarding time (an example of the second content). The control unit 302 may play a first content on a display monitor 101 (an example of a first device) installed at the departure point in accordance with user U's waiting time, and may play a second content on a display monitor 101 (an example of a second device) installed inside the vehicle in accordance with user U's boarding time.

[0098] [Third Modification] In this embodiment, multiple pieces of content may be created to be presented in response to the boarding time or waiting time of a user U using a mobile device. When creating multiple pieces of content for the user U in this manner, the control unit 302 may set priorities for the created multiple pieces of content. The control unit 302 may rank the created pieces of content based on predetermined conditions. One example of the conditions may be the importance assigned to advertising materials included in the content. Furthermore, the control unit 302 may extract multiple pieces of advertising material information, each prioritized based on predetermined conditions, and create multiple pieces of content corresponding to each of the extracted pieces of advertising material information. In this case, the priority assigned to the extracted advertising material information may be set as the priority of the corresponding content. The control unit 302 may play the multiple pieces of content created as described above in a playback order according to the set priorities during the boarding time or waiting time of the user U.

[0099] [Fourth Modification] In each of the above embodiments, the content creation usage information includes user information, thereby creating content that reflects the attributes of user U. Furthermore, the content is created to have a playback time corresponding to the waiting time or boarding time. In this modification, the control unit 302 may cause the trained model to create content with a playback time set according to the attributes indicated by the user information included in the content creation usage information. As an example, if the mobile object is an elevator installed in a commercial facility such as a shopping mall, the control unit 302 may set the playback time of the content based on information about the user U's residential area, which is one of the attributes included in the user information. Specifically, the farther the residential area is from the commercial facility, the more likely the user U is visiting the facility with the purpose of purchasing some kind of product. On the other hand, the closer the residential area is to the commercial facility, the more likely or likely the purpose of the user U's visit is not to purchase a product, but rather to have a meal or take a walk nearby. Therefore, the control unit 302 may increase the duration of the content to be created as the residential area, indicated as an attribute included in the user information, becomes farther from the commercial facility. As another example, if the moving object is an elevator installed in a commercial facility such as a shopping mall, the playback time of the content may be set longer for age groups with higher purchase amounts based on the relationship between the amount of purchases at the commercial facility and the age group of the user U. The playback time of the content may also be set based on a combination of multiple attributes. As a specific example, the playback time of the content may be set based on a combination of the age group and gender of the user U. For example, if the extracted advertising material information is related to daily necessities, the control unit 302 may set the playback time of the content to be longer in accordance with the combination of age group and gender with a higher history of purchasing daily necessities, based on the history of age groups and genders regarding the purchase of daily necessities. In this case, the user information may also include appearance information of the user U. In other words, the control unit 302 may set the playback time of the content according to the appearance of the user U indicated by the appearance information.

[0100] [Fifth Modification] Furthermore, in cases where multiple users U board the same vehicle, such as an airplane, train, bus, or elevator, the control unit 302 may classify multiple users U who are boarding the vehicle or waiting to board at the departure point into one of multiple groups. For example, the control unit 302 may classify the users U into groups by classifying attributes indicated in the user information of the multiple users U according to predetermined classification criteria. Examples of attribute classification criteria include age group, gender, place of residence, and relationships between members within the group (e.g., parent-child, friends). The control unit 302 may then create content corresponding to each group. In this case, when creating content corresponding to a group, the control unit 302 may extract advertising material information using statistical user information obtained by performing predetermined statistical processing on the user information corresponding to each user U belonging to the corresponding group, and input information including the statistical user information into the trained model to create content for the corresponding group. As an example, if statistical processing is performed to calculate the ratio of male to female users U within a group, and the statistical user information shows that the ratio of female users is above a predetermined level, content aimed at women may be created.

[0101] Furthermore, the plurality of contents corresponding to the plurality of groups thus created may be sequentially played on, for example, the display monitor 101 in a playback order set according to predetermined conditions. Alternatively, the plurality of created contents may be simultaneously played on split screens obtained by dividing a single screen of the display monitor 101. That is, the control unit 302 may create a plurality of contents, such as moving images or still images, and simultaneously play the plurality of contents on different areas of a single screen of a device that plays the content. In this case, the size of the split screen may be changed according to the priority or priorities set between the corresponding groups. Specifically, the size of the split screen may be increased as the priority or priorities increase, and decreased as the priority or priorities decrease. The criteria for setting the priority or priorities between groups are not particularly limited. For example, the priority or priorities may be set based on the proportion of users of a predetermined attribute, such as gender or age group, within the group.

[0102] In addition, the control unit 302 may include appearance information for each corresponding user U in the input information corresponding to each group, and cause the trained model to create content corresponding to each group that features the avatar of the user U belonging to the corresponding group.

[0103] This modification may also be applicable to multiple users waiting to board at the departure airport. That is, the control unit 302 may classify multiple users U waiting to board at the departure airport into multiple groups, have the trained model create content corresponding to each group, and present the created content to the multiple users U.

[0104] [Sixth Modification] In this modification, the control unit 302 may store the created content (pre-created content) in a predetermined storage unit. The control unit 302 may create the content by inputting input information including the created content in addition to location information, user information, etc., into the trained model. In this case, the control unit 302 may include the entire created content in the input information, or may include only a portion of the created content in the input information. Here, the portion of the created content may be, for example, a content portion obtained by extracting a certain time section from the entire playback time of the created content, or a content portion obtained by extracting a portion of the entire screen area of ​​the created content.

[0105] The embodiments described so far can be summarized as follows: (1) One aspect of the present embodiment is an information processing system including: an information acquisition unit 301 that acquires location information indicating at least one of a departure point of a user U who uses a mobile object (e.g., an elevator car 100, an airplane, a taxi, a PMV, a train, or a bus), a destination of the user U, and a stopover point between the departure point and the destination; and a control unit 302 that creates content targeted at the user U by inputting input information based on the location information acquired by the information acquisition unit to an artificial intelligence 400.

[0106] The above-mentioned departure point is a place where a person boards a moving object, and may include, for example, the departure floor of the elevator car 100, a bus stop, a train station, an airport, a taxi stand, etc. Furthermore, a place of accommodation such as a hotel or inn at a travel destination may also be the departure point of a moving object such as a bus or a taxi.

[0107] The destination may be a place where the user disembarks the mobile object, such as a destination floor of the elevator car 100, a destination bus stop, a train station, an airport, etc. The destination may also be a predetermined location (e.g., a final destination) to which the user travels after disembarking the mobile object.

[0108] The above-mentioned waypoints are places to pass through or places to stop off at between the departure point and the destination, and may be, for example, train stations, bus stops, floors, airports (countries) to transit through, etc.

[0109] The input information based on the location information may include the location information, content composition information extracted based on the location information, etc. In this case, the input information may include the location information and the content composition information, or may include either the location information or the content composition information.

[0110] According to the above configuration, content can be easily created. Furthermore, by displaying the created content, the user U can obtain information about the departure point, intermediate points, or destination.

[0111] (2) One aspect of this embodiment is the above-mentioned information processing system, in which the control unit 302 may extract content composition information based on the location information, and input information including the extracted content composition information to the artificial intelligence.

[0112] According to the above configuration, by displaying the created content, the user U can obtain information about the departure point, intermediate points, or destination. Compared to inputting location information into the artificial intelligence, inputting content configuration information into the artificial intelligence can create more reliable content.

[0113] (3) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 extracts multiple pieces of content composition information based on the location information, classifies the multiple pieces of content composition information into categories divided by the time or distance of the movement of the mobile object, and inputs input information including the classified multiple pieces of content composition information into the artificial intelligence, thereby creating multiple pieces of content corresponding to the categories.

[0114] According to the above configuration, it is possible to easily create content corresponding to each section divided by time or distance in the movement of a mobile object. Furthermore, by displaying the multiple contents created under the above configuration in the order of the sections (chronological order, from the departure point to the destination), the user U can obtain information in order.

[0115] (4) One aspect of this embodiment is the above-mentioned information processing system, wherein the control unit 302 inputs input information including a boarding time, which is the time from when the user U boards the vehicle to when the user U disembarks from the vehicle, into the artificial intelligence, thereby creating content whose playback time is less than or equal to the boarding time.

[0116] According to the above configuration, it is possible to easily create content whose playback time is equal to or shorter than the boarding time. Furthermore, according to the above configuration, the user U can finish watching the content within the boarding time, and the user U is prevented from missing the content.

[0117] (5) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 may create a plurality of pieces of content that are equal to or less than the upper limit of the number of pieces of content by inputting input information including the upper limit of the number of pieces of content set for the boarding time and the boarding time into the artificial intelligence.

[0118] According to the above configuration, excessive content creation relative to the boarding time is suppressed, and the efficiency of processing related to content creation is improved.

[0119] (6) In one aspect of the present embodiment, in the information processing system described above, the control unit 302 may create a plurality of pieces of content whose total playback time is equal to or less than the boarding time.

[0120] According to the above configuration, it is possible to easily create content whose playback time is equal to or shorter than the boarding time. Furthermore, the user U can finish watching multiple pieces of content within the boarding time, and is prevented from missing multiple pieces of content.

[0121] (7) One aspect of this embodiment is the above-mentioned information processing system, wherein when the boarding time is changed, the control unit 302 may input input information including the changed boarding time to the artificial intelligence, thereby recreating the content such that the playback time of the content is equal to or shorter than the changed boarding time.

[0122] According to the above configuration, content whose playback time corresponds to the boarding time can be easily created regardless of changes in the boarding time. The user U can finish watching the content within the boarding time, and is less likely to miss the content.

[0123] (8) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit acquires the location information of multiple users U who use the mobile object, and the control unit 302 inputs input information based on the location information into artificial intelligence, thereby creating the content targeted at the multiple users U who have the same location information.

[0124] In the above embodiment, the "same location information" may specifically mean that at least one of the departure point, intermediate points, and destination indicated in the location information is the same.

[0125] According to the above configuration, common content can be created for users U who are in the same location, and content can be created more efficiently than if content were created for each user U each time.

[0126] (9) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit acquires evaluation information indicating the user U's evaluation of the content, and the control unit 302 may extract the content composition information based on the location information and the evaluation information.

[0127] According to the above configuration, content can be created that reflects the evaluations of the user U, making it possible to create content that matches the preferences (high interest) of the user U. As a result, it is possible to prevent content that does not match the preferences (low interest) of the user U from being created.

[0128] (10) One aspect of this embodiment is the information processing system described above, wherein the information acquisition unit acquires evaluation information indicating the user U's evaluation of the content, and the control unit 302 may stop playback of the content on a device that plays the content if the user U's level of interest in the content is determined to be below a predetermined threshold based on the evaluation information.

[0129] According to the above configuration, it is possible to shorten the playback time of content that has a low level of interest to the user U. As a result, it is possible to secure time for playing other content by the amount corresponding to the shortened playback time of the content that has a low level of interest to the user U.

[0130] (11) One aspect of this embodiment is the above-mentioned information processing system, wherein the control unit 302 may create content different from the content whose playback was stopped by inputting the input information into the artificial intelligence.

[0131] According to the above configuration, it is possible to easily create content that is different from content that the user U is less interested in. Furthermore, by displaying the created alternative content, it is possible to provide new content to the user U.

[0132] (12) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 may transmit the content to each of a first device provided at the departure location and playing the content, and a second device provided in the moving body and playing the content.

[0133] According to the above configuration, content can be provided to the user U both at the departure point and inside the vehicle.

[0134] (13) One aspect of this embodiment is the above-mentioned information processing system, wherein the control unit 302 may play the content on the second device after a waiting time has elapsed, which is the time from when the user U arrives at the departure point until when the user U boards the moving object.

[0135] According to the above configuration, the user U is prevented from missing content being played on the second device.

[0136] (14) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 creates a first content corresponding to the waiting time and a second content corresponding to a boarding time, which is the time from when the user U boards the vehicle to when he or she disembarks after the waiting time, and plays the first content on the first device during the waiting time, and then plays the second content on the second device during the boarding time.

[0137] According to the above configuration, the user U can obtain information while waiting to board a moving object, and then viewing the contents in order from the time he or she boards the moving object until he or she disembarks.

[0138] (15) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 may input force information including a waiting time, which is the time from when the user U arrives at the departure point until the user U boards the moving object, to the artificial intelligence, thereby creating content whose playback time is less than or equal to the waiting time.

[0139] According to the above configuration, compared to calculating the waiting time based on the time shown in a timetable, for example, it is possible to calculate the waiting time more accurately, for example, to accommodate delays in moving objects, and easily create content to be provided to user U based on the calculated waiting time.

[0140] (16) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 may calculate the waiting time based on the departure point and the current position of the moving body that has not yet arrived at the departure point.

[0141] According to the above configuration, it is possible to easily create content whose playback time corresponds to the waiting time, allowing the user U to finish watching the content within the waiting time, thereby reducing the risk of missing the content.

[0142] (17) One aspect of this embodiment is the above-mentioned information processing system, in which the control unit 302 creates multiple pieces of content targeted at the user U who uses the mobile object, and may sequentially play the multiple pieces of content according to a priority order determined for the multiple pieces of content based on predetermined conditions.

[0143] According to the above configuration, it is possible to play back the contents in order of priority.

[0144] (18) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 extracts multiple pieces of content composition information with prioritized values ​​based on the location information and predetermined conditions, and creates multiple pieces of content with prioritized values ​​by inputting input information including the multiple pieces of content composition information with prioritized values ​​into the artificial intelligence.

[0145] According to the above configuration, it is possible to easily create content for which a priority order is set, and also to reflect the priority order of the content configuration information in the priority order of the content.

[0146] (19) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit further acquires user information indicating predetermined attributes of the user U, and the control unit 302 may create the content by inputting input information including the user information into the artificial intelligence.

[0147] According to the above configuration, it is possible to easily create content that is suited to the attributes of the user U. It is also possible to play back content that is likely to interest the user U.

[0148] (20) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit further acquires user information indicating predetermined attributes of the user U, and the control unit 302 creates the content by inputting the content playback time set based on the attributes of the user U indicated by the user information and the input information into the artificial intelligence.

[0149] According to the above configuration, it is possible to create content with a content playback time that is changed in accordance with the attributes of the user U.

[0150] (21) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit acquires user information indicating predetermined attributes of the user U from each of the multiple users U, and the control unit 302 classifies the multiple users U into one of multiple groups based on the user information of the multiple users U, extracts the content composition information based on the user information of the multiple users U classified into the group, and creates the content by inputting input information including the extracted content composition information into the artificial intelligence.

[0151] According to the above configuration, compared to creating content for each user U, it is possible to create content efficiently for each group, which is a collection of users U.

[0152] (22) One aspect of this embodiment is the information processing system described above, wherein the control unit 302 creates multiple pieces of content, which are videos or still images, and may play each of the multiple pieces of content in different areas of a single screen of a device that plays the content.

[0153] According to the above configuration, by simultaneously reproducing a plurality of contents on one screen, it is possible to provide a plurality of pieces of information to the user U at the same time.

[0154] (23) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit further acquires appearance information indicating the appearance of the user U, and the control unit 302 may create the content including an avatar corresponding to the user U by inputting the input information including the appearance information into the artificial intelligence.

[0155] According to the above configuration, content that will be of great interest to the user U can be easily created in accordance with the user U's appearance.

[0156] (24) One aspect of this embodiment is the information processing system described above, wherein the appearance information may indicate an outline of the user U.

[0157] According to the above configuration, the appearance information indicates the outline of the user U, and does not indicate, for example, the face, etc., so that it is possible to easily create content that is of great interest to the user U while protecting the privacy of the user U.

[0158] (25) One aspect of this embodiment is the above-mentioned information processing system, wherein the information acquisition unit acquires the appearance information of multiple users U and user group information related to a group of the multiple users U, and the control unit 302 inputs the input information including the appearance information and user group information for each of the multiple users U into the artificial intelligence, thereby creating the content including multiple avatars corresponding to the multiple users U belonging to the same group.

[0159] According to the above configuration, it is possible to easily create content that includes avatars corresponding to users U who belong to the same group. As a result, it is possible to provide content that is likely to interest users U who belong to the group.

[0160] (26) One aspect of this embodiment is the above-mentioned information processing system, in which the control unit 302 stores the created content in a memory unit as created content, and creates content by inputting input information based on the location information including the created content into the artificial intelligence.

[0161] According to the above configuration, content is created that reflects the details of previously created content, making it possible to create better content by utilizing the details of content created in the past.

[0162] (27) One aspect of this embodiment is the above-mentioned information processing system, in which the control unit 302 may create content by inputting input information based on the location information, including a portion of the created content, into the artificial intelligence.

[0163] According to the above configuration, a portion of the already-created content is used to create the content, so the processing load when creating the content that uses the already-created content is reduced, and the content can be created with high processing efficiency.

[0164] (28) One aspect of this embodiment is the above-mentioned information processing system, which is an information processing method in the information processing system, including an information acquisition step in which an information processing acquisition unit acquires location information indicating at least one of the departure point of a user U using a mobile device, the destination of the user U, and a waypoint between the departure point and the destination, and a control step in which a control unit 302 creates content targeted at the user U by inputting input information based on the location information acquired in the information acquisition step into artificial intelligence.

[0165] (29) One aspect of this embodiment is the above-mentioned information processing system, which is a program for causing a computer in the information processing system to function as an information acquisition unit that acquires location information indicating at least one of the departure point of a user U using a mobile device, the destination of the user U, and intermediate points between the departure point and the destination, and a control unit 302 that creates content targeted at the user U by inputting input information based on the location information acquired by the information acquisition unit into artificial intelligence.

[0166] In addition, a program for implementing the functions of each system, device, etc. provided in the information processing system of each of the above embodiments may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be loaded into a computer system and executed to perform the processing of each of the above systems, devices, etc. Here, "loading a program recorded on a recording medium into a computer system and executing it" includes installing the program on a computer system. The term "computer system" here includes hardware such as an OS and peripheral devices. The term "computer system" may also include multiple computer devices connected via a network, including communication lines such as the Internet, WAN, LAN, and dedicated lines. The term "computer-readable recording medium" refers to portable media such as floppy disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into a computer system. Thus, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM. The recording medium may also include internal or external recording media accessible from a distribution server to distribute the program. The program code stored on the distribution server's recording medium may be different from the program code executable on a terminal device. In other words, the format in which the program is stored on the distribution server does not matter as long as it can be downloaded from the distribution server and installed in a form that is executable on the terminal device. The program may be divided into multiple parts, each of which may be downloaded at different times and then combined on the terminal device, or each of the divided programs may be distributed by a different distribution server. Furthermore, the term "computer-readable recording medium" also includes a storage medium that stores a program for a certain period of time, such as volatile memory (RAM) within a computer system that serves as a server or client when a program is transmitted over a network. The program may also be one that realizes part of the functions described above.Furthermore, the above-mentioned functions may be realized in combination with a program already recorded in the computer system, that is, a so-called differential file (differential program).

[0167] According to the present invention, it is possible to easily create content aimed at users who use mobile devices.

[0168] 100 Elevator, 101 Display monitor, 102 Operation panel, 103 Camera, 200 Elevator control device, 300 Information processing device, 301 Information acquisition unit, 302 Control unit, 303 Advertising material information storage unit, 400 Artificial intelligence, 401 Model control unit, 402 Model storage unit, 403 Reference information storage unit

Claims

1. An information processing system comprising: an information acquisition unit that acquires location information indicating at least one of the starting point of a user using a mobile device, the user's destination, and intermediate points between the starting point and the destination; and a control unit that creates content targeted at the user by inputting input information based on the location information acquired by the information acquisition unit into artificial intelligence.

2. An information processing system as described in claim 1, wherein the control unit extracts content composition information based on the location information and inputs input information including the extracted content composition information to the artificial intelligence.

3. The information processing system of claim 2, wherein the control unit extracts a plurality of pieces of content composition information based on the location information, classifies the plurality of pieces of content composition information into categories divided by the time or distance of the movement of the mobile object, and creates a plurality of pieces of content corresponding to the categories by inputting input information including the plurality of classified content composition information into the artificial intelligence.

4. An information processing system as described in any one of claims 1 to 3, wherein the control unit inputs input information including a boarding time, which is the time from when the user boards the vehicle to when the user disembarks from the vehicle, to the artificial intelligence, thereby creating the content whose playback time is less than or equal to the boarding time.

5. The information processing system of claim 4, wherein the control unit creates a plurality of pieces of content equal to or less than the upper limit number of pieces of content by inputting input information including the upper limit number of pieces of content set for the boarding time and the boarding time into the artificial intelligence.

6. An information processing system according to claim 4 or 5, wherein the control unit creates a plurality of pieces of content whose total playback time is equal to or less than the boarding time.

7. An information processing system as described in any one of claims 4 to 6, wherein when the boarding time is changed, the control unit inputs input information including the changed boarding time into the artificial intelligence, thereby recreating the content so that the playback time of the content is equal to or shorter than the changed boarding time.

8. An information processing system as described in any one of claims 1 to 7, wherein the information acquisition unit acquires the location information of multiple users who use the mobile object, and the control unit inputs input information based on the location information into artificial intelligence to create the content targeted at the multiple users who have the same location information.

9. An information processing system as described in claim 2 or 3, wherein the information acquisition unit acquires evaluation information indicating the user's evaluation of the content, and the control unit extracts the content composition information based on the location information and the evaluation information.

10. An information processing system as described in any one of claims 1 to 9, wherein the information acquisition unit acquires evaluation information indicating the user's evaluation of the content, and the control unit stops playback on a device that plays back content for which the user's level of interest in the content is determined to be below a predetermined threshold based on the evaluation information.

11. An information processing system according to claim 10, wherein the control unit creates the content different from the content whose playback is stopped by inputting the input information to the artificial intelligence.

12. An information processing system according to any one of claims 1 to 11, wherein the control unit transmits the content to a first device provided at the departure location and playing back the content, and a second device provided at the mobile body and playing back the content.

13. An information processing system as described in claim 12, wherein the control unit plays the content on the second device after a waiting time has elapsed, which is the time from when the user arrives at the departure point until when the user boards the vehicle.

14. The information processing system of claim 13, wherein the control unit creates first content corresponding to the waiting time and second content corresponding to the boarding time, which is the time from when the user boards the vehicle to when he or she disembarks after the waiting time, plays the first content on the first device during the waiting time, and then plays the second content on the second device during the boarding time.

15. An information processing system as described in any one of claims 1 to 14, wherein the control unit inputs input information including a waiting time, which is the time from when the user arrives at the departure point until when the user boards the vehicle, to the artificial intelligence, thereby creating the content whose playback time is less than the waiting time.

16. An information processing system according to claim 14 or 15, wherein the control unit calculates the waiting time based on the departure point and the current position of the mobile object that has not yet arrived at the departure point.

17. An information processing system as described in any one of claims 1 to 16, wherein the control unit creates a plurality of pieces of content targeted at the user who uses the mobile object, and sequentially plays back the plurality of pieces of content in accordance with a priority determined for the plurality of pieces of content based on predetermined conditions.

18. An information processing system as described in any one of claims 2 to 17, wherein the control unit extracts multiple pieces of content composition information with prioritized values ​​based on the location information and predetermined conditions, and creates multiple pieces of content with prioritized values ​​by inputting input information including the multiple pieces of content composition information with prioritized values ​​into the artificial intelligence.

19. An information processing system described in any one of claims 1 to 18, wherein the information acquisition unit further acquires user information indicating predetermined attributes related to the user, and the control unit creates the content by inputting input information including the user information into the artificial intelligence.

20. An information processing system as described in any one of claims 1 to 19, wherein the information acquisition unit further acquires user information indicating predetermined attributes of the user, and the control unit creates the content by inputting the content playback time set based on the user attributes indicated in the user information and the input information into the artificial intelligence.

21. An information processing system described in any one of claims 2 to 20, wherein the information acquisition unit acquires user information indicating predetermined attributes related to each of the multiple users from the multiple users, and the control unit classifies the multiple users into one of multiple groups based on the user information of the multiple users, extracts the content composition information based on the user information of the multiple users classified into the group, and creates the content by inputting input information including the extracted content composition information into the artificial intelligence.

22. An information processing system according to any one of claims 1 to 21, wherein the control unit creates a plurality of pieces of content, which are moving images or still images, and plays each of the plurality of pieces of content in different areas of a single screen of a device that plays the content.

23. An information processing system described in any one of claims 1 to 22, wherein the information acquisition unit further acquires appearance information indicating the appearance of the user, and the control unit creates the content including an avatar corresponding to the user by inputting input information including the appearance information into the artificial intelligence.

24. The information processing system according to claim 23, wherein the appearance information indicates an outline of the user.

25. An information processing system as described in claim 23 or 24, wherein the information acquisition unit acquires the appearance information of multiple users and user group information related to a group of the multiple users, and the control unit inputs input information including the appearance information and user group information for each of the multiple users to the artificial intelligence, thereby creating the content including multiple avatars corresponding to the multiple users belonging to the same group.

26. An information processing system as claimed in any one of claims 1 to 25, wherein the control unit stores the created content in a memory unit as created content, and creates content by inputting input information based on the location information and including the created content into the artificial intelligence.

27. An information processing system according to claim 26, wherein the control unit creates content by inputting input information based on the location information and including a portion of the created content into the artificial intelligence.

28. An information processing method in an information processing system, comprising: an information acquisition step in which an information processing acquisition unit acquires location information indicating at least one of the departure point of a user using a mobile device, the user's destination, and a waypoint between the departure point and the destination; and a control step in which a control unit creates content targeted at the user by inputting input information based on the location information acquired in the information acquisition step into artificial intelligence.

29. A program for causing a computer in an information processing system to function as: an information acquisition unit that acquires location information indicating at least one of the departure point of a user using a mobile device, the user's destination, and intermediate points between the departure point and the destination; and a control unit that creates content targeted at the user by inputting input information based on the location information acquired by the information acquisition unit into artificial intelligence.

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