JP7665849B1 - Programs and Systems - Google Patents

Abstract

When a server device provides a terminal device with objects (also referred to as content) generated within a game, the server device provides the terminal device with a game environment and in-game content associated with a real-world location.
[Solution] In the server device, the content generation unit functions as an acquisition unit that acquires a generation instruction including a generation condition of an object, an instruction unit that instructs a generation AI to generate an object in response to the generation instruction, an output unit that outputs an advertisement according to a generation time when the generation AI generates an object according to the generation condition, and a selection unit that selects at least one advertisement having a length according to the generation time from a plurality of advertisements each having a predetermined playback time. The output unit outputs each advertisement selected by the selection unit in order.
[Selected figure] Figure 5

Description

The present invention relates to a program and a system.

Patent Documents 1 and 2 state that "an advertisement is displayed within a display area of a virtual object or in a peripheral area of the display area" (claim 1 of Patent Document 1), etc.
[Prior Art Literature]
[Patent Documents]
[Patent Document 1] JP 2022-174992 A [Patent Document 2] Japanese Patent No. 5961736

In a first aspect of the present invention, a program is provided that causes a computer to function as an acquisition unit that acquires a generation instruction including a generation condition for an object, an instruction unit that instructs a generation AI to generate an object in response to the generation instruction, and an output unit that outputs an advertisement according to a generation time for which the generation AI generates an object according to the generation conditions.

The above program may further cause the computer to function as a selection unit that selects at least one advertisement having a length corresponding to the generation time from a plurality of advertisements each having a predetermined playback time, and the output unit may output each advertisement selected by the selection unit in sequence.

In the above program, the selection unit may select two or more advertisements provided by the same advertiser from among the plurality of advertisements.

In any of the above programs having a selection unit, the selection unit may select two or more advertisements for the same target from among the plurality of advertisements.

In any of the above programs having a selection unit, the selection unit may select one advertisement multiple times, and the output unit may output the one advertisement the number of times it is selected.

In the program of the first aspect described above, the output unit may output an advertisement that has a length of a reference playback time when played at a reference playback speed, at a playback speed different from the reference playback speed so as to have the length of the generated time.

In the program of the first aspect above, the output unit may output a portion of an advertisement having a predetermined playback time that corresponds to the generation time.

The above program may further cause the computer to function as a detection unit that detects the generation of an object by the generation AI, and the output unit may output a portion of an advertisement having a predetermined playback time that corresponds to the generation time from when the instruction unit instructs the generation AI to generate an object to when the detection unit detects the generation of the object.

The computer may further function as a measurement unit that measures the generation time, and the output unit may output an error message when the generation time measured by the measurement unit exceeds a reference time.

Any of the above programs may further cause the computer to function as a storage unit that stores the advertisement in advance.

Any of the above programs may further cause the computer to function as a prediction unit that predicts the generation time based on the generation conditions.

Any of the above programs may further cause the computer to function as the generating AI.

In any of the above programs, the output unit may output advertisements for a period of time until the generation time has elapsed after the generation AI is instructed to generate an object.

In any of the above programs, the output unit may further output at least one of the generation time or the remaining time until the advertisement is output.

In any of the above programs, the acquisition unit may acquire a generation instruction from a user, and the program may further cause the computer to function as a disabling unit that disables the output of the advertisement by the output unit in response to the user satisfying a predetermined condition.

In a second aspect of the present invention, a system is provided that includes an acquisition unit that acquires a generation instruction including a generation condition of an object, an instruction unit that instructs a generation AI to generate an object in response to the generation instruction, and an output unit that outputs an advertisement according to a generation time at which the generation AI generates an object according to the generation conditions.

Note that the above summary of the invention does not list all of the necessary features of the present invention. Also, subcombinations of these features may also be inventions.

1 illustrates a system 10 according to an embodiment. 2 shows a server device 20 according to an embodiment. The configuration of a terminal device 30 according to the embodiment is shown together with an input device 50 and a display device 60. 4 shows a process flow in the server device 20 according to the embodiment. 2 shows a content generating unit 230 according to the first embodiment. The advertisement memory unit 5022 is shown. 4 shows a processing flow in a content generating unit 230 according to the first embodiment. An example of the operation of the content generating unit 230 will be described. 13 shows a content generating unit 230A according to the second embodiment. 13 shows a processing flow in a content generating unit 230A according to the second embodiment. 13 shows a content generating unit 230B according to the third embodiment. 13 shows a processing flow in a content generating unit 230B according to the third embodiment. 12 illustrates an example computer 1200 in which aspects of the present invention may be embodied, in whole or in part.

The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

First Embodiment
1 shows a system 10 according to this embodiment. The system 10 includes a server device 20, a plurality of terminal devices 30, and a network 40. The system 10 has a function that enables one or a plurality of users to each play a game using one or a plurality of terminal devices 30.

The server device 20 is connected to a plurality of terminal devices 30 via a network 40. The server device 20 receives access from one or more terminal devices 30 and provides the terminal devices 30 with objects (also referred to as content) generated within the game. Such content may be made available via the terminal devices 30 through display, playback, operation, interaction, or the like. In this embodiment, the server device 20 can, as an example, provide the terminal devices 30 with a game environment and in-game content associated with a real-world location.

The server device 20 may be a computer such as a PC (personal computer), a workstation, a server computer, a general-purpose computer, a tablet computer, or a smartphone, or may be a computer system in which multiple computers are connected. Such a computer system is also a computer in the broad sense. The server device 20 may also be implemented by one or more virtual computer environments executable within the computer. Alternatively, the server device 20 may be a dedicated computer designed for the system 10, or may be dedicated hardware realized by a dedicated circuit.

The terminal device 30 is connected to the server device 20 via the network 40. The terminal device 30 may be a personal computer, a notebook computer, a mobile phone, a smartphone, a tablet computer, a game terminal, or any other terminal device capable of inputting and outputting data.

The network 40 connects the server device 20 and multiple terminal devices 30. The network 40 may be, for example, the Internet, a wide area network (WAN), a local area network, a mobile phone network, or any other wired or wireless network, or a combination of these.

Figure 2 shows the server device 20 according to this embodiment. The server device 20 has a database 200, an instruction input unit 210, a game processing unit 220, a content generation unit 230, and a display processing unit 240.

The database 200 stores user information about users. In this embodiment, the user information is data that records the play history of each user who is a game player, the content they have generated, and the like. The user information may also include preference data that indicates the subjects in which the user is interested. The database 200 may be realized by at least a portion of the storage area of an external storage device, such as a hard disk drive, connected to the server device 20, or may be realized by a storage device external to the server device 20, for example, provided by a cloud storage service or the like.

The instruction input unit 210 is connected to multiple terminal devices 30 via the network 40. The instruction input unit 210 receives various instructions, including various operations performed by the user while playing the game, from the terminal devices 30. The instruction input unit 210 supplies the received game-related instructions to the game processing unit 220 and the content generation unit 230.

The game processing unit 220 is connected to the database 200, the instruction input unit 210, the content generation unit 230, and the display processing unit 240. In response to instructions relating to the game received from the instruction input unit 210, the game processing unit 220 performs processing for progressing the game in cooperation with the content generation unit 230 based on the user information stored in the database 200. In the example of this embodiment, the server device 20 provides, as the game to be provided, a game that generates various contents.

The content generation unit 230 is connected to the database 200, the instruction input unit 210, the game processing unit 220, and the display processing unit 240. The content generation unit 230 performs processing for generating content in response to instructions regarding content generation received from the instruction input unit 210. The content generation unit 230 may generate content based on user information stored in the database 200.

The display processing unit 240 is connected to the terminal device 30 via the network 40. The display processing unit 240 performs display processing to display various display screens related to the game and content on the terminal device 30 to be displayed in response to instructions from the game processing unit 220 and the content generation unit 230.

Figure 3 shows the configuration of the terminal device 30 according to this embodiment together with the input device 50 and the display device 60. The input device 50 may be a keyboard, a mouse, or a touch sensor of a touch panel, or may be an imaging device such as a camera or a barcode reader, and inputs user instructions to the server device 20 of the system 10 and supplies them to the terminal device 30. The display device 60 may be an image display unit such as a display or a touch panel, and displays a display screen output by the server device 20 of the system 10. The input device 50 and the display device 60 may be integrated with the terminal device 30. The terminal device 30 has a terminal input processing unit 300, a terminal status acquisition unit 305, a terminal transmission unit 310, a terminal reception unit 320, and a terminal display processing unit 330.

The terminal input processing unit 300 is connected to the input device 50 and the terminal transmission unit 310. The terminal input processing unit 300 receives user instructions from the input device 50 and supplies them to the terminal transmission unit 310.

The terminal status acquisition unit 305 is connected to the terminal transmission unit 310. The terminal status acquisition unit 305 receives location information of the terminal device 30 from a position sensor such as a GPS receiver provided in the terminal device 30, and supplies the location information to the terminal transmission unit 310.

The terminal transmission unit 310 is connected to the network 40. The terminal transmission unit 310 supplies the user's instructions received from the terminal input processing unit 300 to the server device 20 via the network 40. The terminal transmission unit 310 supplies the location information of the terminal device 30 received from the terminal state acquisition unit 305 to the server device 20 via the network 40.

The terminal receiving unit 320 is connected to the network 40 and the terminal display processing unit 330. The terminal receiving unit 320 receives various display screens that the server device 20 outputs to the terminal device 30 via the network 40.

The terminal display processing unit 330 is connected to the display device 60. The terminal display processing unit 330 performs processing to display the display screen received from the terminal receiving unit 320 on the display device 60.

In this embodiment, the terminal device 30 transmits user instructions input to the input device 50 to the server device 20, and the display screen output by the server device 20 is supplied to the display device 60 for output, thereby reducing the processing load on the terminal device 30. Alternatively, the terminal device 30 may include a component corresponding to at least a portion of at least one of the instruction input unit 210, the game processing unit 220, the content generation unit 230, and the display processing unit 240 shown in relation to FIG. 2, and at least a portion of the processing may be executed locally within the terminal device 30.

Figure 4 shows the process flow in the server device 20 according to this embodiment. In response to receiving an instruction to start a game from a terminal device 30, the server device 20 starts the process flow shown in this figure to provide a game to the user of that terminal device 30.

At S502 (step 502), the game processing unit 220 and the content generation unit 230 refer to the information stored in the database 200 about the target user and instruct the display processing unit 240 to generate a display screen. In response to the instructions from the game processing unit 220 and the content generation unit 230, the display processing unit 240 performs processing to generate a game screen and display it on the terminal device 30 of the target user.

In S504, the user of the terminal device 30, who has viewed the display screen displayed on the display device 60, inputs an instruction corresponding to the display screen via the input device 50 and transmits the instruction to the server device 20. The terminal device 30 may transmit the location information acquired by the terminal state acquisition unit 305 to the server device 20. The instruction input unit 210 supplies the instruction from the terminal device 30 to the game processing unit 220 or the content generation unit 230 depending on the content of the instruction. When location information of the terminal device 30 is supplied, the instruction input unit 210 may supply the location information to the game processing unit 220 or the content generation unit 230.

In S506, the game processing unit 220 or the content generation unit 230 performs processing according to the instruction input from the instruction input unit 210 in S504. For example, the game processing unit 220 performs processing such as having the user input the content generation conditions and outputting (displaying, as an example) the generated content. In addition, the content generation unit 230 performs processing related to content generation based on the generation conditions input from the instruction input unit 210.

In S508, the game processing unit 220 or the content generation unit 230 changes the user information stored in the database 200 for the target user in accordance with the processing in S506. For example, the content generation unit 230 may add the generated content to the user information. In addition, the game processing unit 220 updates the state of the game in accordance with the generated content.

In S502, which is the time when the process returns from S508, the display processing unit 240 performs processing to display a screen after the game state change on the display device 60 of the terminal device 30.

Figure 5 shows the content generation unit 230 according to this embodiment. The content generation unit 230 generates content in response to a user request, and outputs advertisements to the user during the generation process. The content generation unit 230 may include an acquisition unit 500, a storage unit 502, an instruction unit 503, a selection unit 504, a detection unit 506, a measurement unit 508, an output unit 509, and an invalidation unit 510.

The acquisition unit 500 acquires a content generation instruction. The acquisition unit 500 may acquire the generation instruction from the user via the terminal device 30 and the instruction input unit 210. The generation instruction may include the content generation conditions. As an example, the generation instruction may be text in a natural language including the generation conditions.

Here, in this embodiment, as an example, the content provided may be an image. The generation conditions may include at least one of a condition related to the content (also referred to as a theme) shown in the generated content and a condition related to the expression. The condition related to the content may include at least one of a condition related to the type of theme and a condition related to the attributes of the theme. The type of theme may indicate, for example, a type of living thing, a type of object such as a structure, or a type of event such as a natural phenomenon. As an example, the condition related to the type of theme may include a condition that the theme is a person, a dish, a typhoon, etc. The attributes of the theme may indicate the color, shape, impression, personality, nature, characteristics, country, region, name, etc. of the theme. As an example, the condition related to the attributes of the theme may include a condition that the theme is cute, scary, calm, sweet, spicy, or related to the user's current location. If the condition related to the attributes of the theme includes a condition related to the user's current location, the generation instruction may include location information of the terminal device 30. The conditions regarding the expression may include conditions such as the image of the generated content being an illustration, being in a pixel art style, being in an oil painting style, having a plain background, etc. The conditions regarding the expression may also include conditions such as the image of the generated content being a moving image or a still image.

The acquisition unit 500 may supply the acquired generation instruction to the instruction unit 503. In addition, the acquisition unit 500 may acquire, together with the content generation instruction, identification information (also referred to as a user ID) of the user who instructed the content generation, and may supply the acquired user ID to the invalidation unit 510.

The memory unit 502 stores various information. The memory unit 502 has a generation AI 5021 and an advertisement memory unit 5022.

The generation AI 5021 generates content according to the generation conditions. In response to input of a generation instruction including the generation conditions, the generation AI 5021 may generate content according to the generation conditions. As an example in this embodiment, the generation AI 5021 may generate image content in response to input of a generation instruction text expressed in natural language. Note that the generation time from input of a generation instruction to the generation AI 5021 to generation of the content may vary depending on the content, the state of the server device 20, etc. The generation AI 5021 may be a conventionally known generation AI.

The advertisement storage unit 5022 stores advertisements to be output to the user in advance. The advertisement storage unit 5022 may store data of a plurality of advertisements (also referred to as advertisement data). Each advertisement may have a predetermined playback time. The playback times of the advertisements may be the same as or different from each other. As an example, the advertisement may be a video. The advertisement storage unit 5022 may store, for each advertisement, advertisement identification information (also referred to as advertisement ID), playback time, advertiser identification information (also referred to as advertiser ID), advertisement target identification information (also referred to as target ID), advertisement data, etc. The advertisement target may be a product (for example, a game, book, music, etc.), a service (for example, a distribution service, etc.), or a business (for example, a company, cultural activity, etc.).

The instruction unit 503 instructs the generation AI 5021 to generate content in response to the generation instruction. The instruction unit 503 may instruct the generation AI 5021 to generate content by supplying the generation instruction supplied from the acquisition unit 500 to the generation AI 5021. As a result, content according to the generation conditions included in the generation instruction is generated in the generation AI 5021. The instruction unit 503 may cause the generation AI 5021 to output the generated content to the output unit 509. In response to supplying the generation instruction to the generation AI 5021, the instruction unit 503 may supply a trigger signal to the selection unit 504 and the measurement unit 508 to cause predetermined processing to be performed.

The selection unit 504 selects at least one advertisement from the plurality of advertisements stored in the advertisement storage unit 5022. The selection unit 504 may select a preset reference number of advertisements from the plurality of advertisements stored in the advertisement storage unit 5022 in response to a trigger signal from the instruction unit 503. The reference number may be 1 or an integer of 2 or more. When selecting a plurality of advertisements, the selection unit 504 may select two or more advertisements provided by the same advertiser from the plurality of advertisements stored in the advertisement storage unit 5022 based on the advertiser ID or the target ID stored in the advertisement storage unit 5022, or may select two or more advertisements for the same target. The selection unit 504 may randomly select one or more advertisements, or may preferentially select an advertisement for a target in which the user is interested based on preference data included in the user information. The selection unit 504 may read out advertisement data of the selected advertisement from the advertisement storage unit 5022 and supply it to the output unit 509 as an advertisement to be output. When multiple advertisements are selected, the selection unit 504 may sequentially arrange the multiple advertisements and supply them to the output unit 509 as advertisements to be output. Note that the playback time of the advertisement to be output may be the sum of the playback times of the advertisements included in the advertisement to be output.

The detection unit 506 detects the generation of content by the generation AI 5021. The detection unit 506 may detect that content has been generated in response to the content being output from the generation AI 5021 to the output unit 509. The detection unit 506 may supply a signal indicating that the generation of content has been detected (also referred to as a detection signal) to the measurement unit 508 and the output unit 509. Note that, as an example in this embodiment, the detection unit 506 may supply the detection signal to the output unit 509 via the measurement unit 508.

The measurement unit 508 measures the generation time taken by the generation AI 5021 to generate content according to the generation conditions. The measurement unit 508 may start measuring the generation time in response to a trigger signal from the instruction unit 503, and may end measuring the generation time in response to a detection signal from the detection unit 506. The measurement unit 508 may sequentially compare the generation time being measured with a predetermined reference time, and may supply an error signal to the output unit 509 in response to the generation time exceeding the reference time. The measurement unit 508 may sequentially supply the current generation time to the output unit 509 while measuring the generation time.

The output unit 509 outputs the content generated by the generation AI 5021. The output unit 509 may output information indicating the generated content to the database 200, the game processing unit 220, and the display processing unit 240. As a result, the generated content may be stored in the user information in the database 200, the game state may be updated according to the generated content, and the content may be displayed on the game screen.

Furthermore, before outputting the content, the output unit 509 outputs an advertisement according to the generation time of the content. The output unit 509 may output the advertisement to be output, which is supplied from the selection unit 504. The output unit 509 may output advertisement data to the display processing unit 240 to play the advertisement to be output. The output unit 509 may further output the current generation time, which is supplied from the measurement unit 508, to the display processing unit 240 to display it together with the advertisement. An advertisement according to the generation time may be an advertisement according to the length of the generation time, and in this embodiment, as an example, may be an advertisement of the length of the generation time. However, the advertisement according to the generation time may be an advertisement of a length obtained by adding or subtracting a predetermined time to the length of the generation time.

Here, the output unit 509 according to this embodiment outputs a portion of the advertisement to be output that has a predetermined playback time, corresponding to the generation time. The output unit 509 may output a portion of the advertisement to be output that corresponds to the generation time from when the instruction unit 503 instructs the generation AI 5021 to generate content to when the detection unit 506 detects the generation of the content. The output unit 509 may output the advertisement to be output over a period from when the generation AI 5021 is instructed to generate an object until the generation time has elapsed. When the output unit 509 outputs the advertisement to be output over that period, it may mean that the advertisement to be output is played over that period.

After the instruction unit 503 instructs the generation AI 5021 to generate content, the period until the detection unit 506 detects the generation of content may be the period from when the selection unit 504 supplies advertising data to the output unit 509 to when the detection unit 506 or the measurement unit 508 supplies a detection signal to the output unit 509. The output unit 509 may output the advertisement to be output over the period from when the output unit 509 receives advertising data from the selection unit 504 to when the detection signal is received from the detection unit 506 or the measurement unit 508. The output unit 509 may end the output of the advertisement in response to receiving the detection signal. Alternatively, the output unit 509 may enable an end operation to end the output of the advertisement to be input to the terminal device 30 in response to receiving the detection signal, and end the output of the advertisement in response to the end operation being performed. The output unit 509 may output the generated content after the output of the advertisement is ended.

Here, if the playback time of the advertisement to be output is longer than the generation time, the output unit 509 may output a portion of the advertisement to be output that has a length corresponding to the generation time (for example, the portion from the beginning of the advertisement until the generation time has elapsed). If the advertisement to be output is shorter than the generation time, the output unit 509 may repeatedly output the advertisement to be output until the generation time has elapsed. If the playback time of the advertisement to be output is not an integer multiple of the generation time, a portion up to the middle of the advertisement to be output may be output.

The output unit 509 may output an error message in response to the generation time measured by the measurement unit 508 exceeding the reference time. The output unit 509 may output an error message in response to receiving an error signal from the measurement unit 508. The output unit 509 may supply the error message to the display processing unit 240 for display. The error message may indicate that an error has occurred in the generation of the content. The output unit 509 may display the error message while displaying the advertisement, or may end the display of the advertisement and display the error message.

The invalidation unit 510 invalidates the output of the advertisement by the output unit 509 in response to the user who inputs the content generation instruction satisfying a predetermined condition (also referred to as the invalidation condition). The invalidation unit 510 may determine whether the user satisfies the invalidation condition by referring to the user information corresponding to the user ID supplied from the acquisition unit 500 among the multiple user information stored in the database 200. For example, the user information may include information indicating whether the invalidation condition is satisfied, and the invalidation unit 510 may determine whether the user satisfies the invalidation condition based on the information. The information indicating whether the invalidation condition is satisfied may be set to content indicating that the condition is satisfied in response to the user upgrading the contract content of the service or paying a predetermined additional fee. The invalidation unit 510 may supply a signal (also referred to as the invalidation signal) indicating that the output of the advertisement is to be invalidated to the output unit 509 in response to the user satisfying the invalidation condition, thereby invalidating the output of the advertisement. Note that invalidating the output of the advertisement may mean disabling the output of the advertisement, or may mean not allowing the advertisement to be output.

According to the server device 20 having the above content generation unit 230, the generation AI 5021 is instructed to generate content in response to a generation instruction including the content generation conditions, and an advertisement according to the generation time in which the generation AI 5021 generates content according to the generation conditions is output. Therefore, unlike the case in which an advertisement of a uniform length is output regardless of the generation time, it is possible to prevent a decrease in interest. That is, for example, when an advertisement of a uniform length longer than the generation time is output, a waiting time occurs from the generation of the content until the end of the advertisement, which reduces interest. Also, when an advertisement of a uniform length shorter than the generation time is output, a waiting time occurs from the end of the advertisement until the content is generated, which also reduces interest. In contrast, when an advertisement according to the generation time is output, the waiting time before and after the content is generated is reduced, and a decrease in interest can be prevented.

In addition, after the generation AI 5021 is instructed to generate content, advertisements are output for the period until the generation time has elapsed, so the period waiting for content generation can be efficiently utilized for outputting advertisements.

In addition, from among the multiple advertisements, two or more advertisements provided by the same advertiser are selected as the advertisements to be output, so advertisements from the same advertiser can be output intensively, thereby improving the advertising effectiveness.

In addition, from among the multiple advertisements, two or more advertisements for the same target are selected as the advertisements to be output, so that advertisements for the same target can be output intensively, thereby increasing the advertising effectiveness.

In addition, because the portion of an advertisement having a predetermined playback time that corresponds to the generation time is output, advertisements of various lengths that correspond to the generation time can be output regardless of the predetermined playback time.

In addition, since the portion corresponding to the generation time from when the generation AI 5021 is instructed to generate content to when the generation of the content is detected is output, it is possible to obtain the accurate generation time and output an advertisement corresponding to that generation time.

In addition, an error message is output when the measured generation time exceeds the reference time, which prevents the user from having to wait continuously if an error occurs in the generation of the content.

In addition, the generation time is output along with the advertisement, which helps reduce the stress that users experience when watching an advertisement.

In addition, since the output of advertisements is disabled when the user meets the disabling conditions, the user can choose whether or not to disable the output of advertisements. In addition, since the user can be motivated to meet the disabling conditions, revenue can be increased by setting additional payment, upgrade contracts, etc. as disabling conditions.

In addition, since advertisements are stored in advance in the server device 20, the process can be simplified compared to when advertisements are obtained from an external device and output.

In addition, since the generation AI 5021 is provided within the server device 20, it is possible to prevent an increase in communication load due to sending generation instructions or receiving generated content, unlike when the generation AI 5021 is provided outside the server device 20.

Figure 6 shows the advertisement storage unit 5022. The advertisement storage unit 5022 may store, for each advertisement, an advertisement ID (such as "C001" in this figure as an example), a playback time (such as "30" seconds in this figure as an example), an advertiser ID (such as "XXX001" in this figure as an example), a target ID (such as "G01" in this figure as an example), and advertisement data.

Figure 7 shows the processing flow in the content generation unit 230 according to this embodiment. The content generation unit 230 may execute the processing flow in this figure in the game processing in S506 described above.

In S702, the acquisition unit 500 acquires a content generation instruction including the generation conditions. The acquisition unit 500 may acquire the generation instruction from the user via the terminal device 30 and the instruction input unit 210.

In S704, the instruction unit 503 instructs the generation AI 5021 to generate content according to the generation conditions. This causes the generation AI 5021 to start generating content.

In S706, the measurement unit 508 starts measuring the generation time. The measurement unit 508 may start supplying the generation time to the output unit 509.

In S708, the selection unit 504 selects at least one advertisement from the multiple advertisements stored in the advertisement storage unit 5022 as an advertisement to be output. As an example, the selection unit 504 may select two or more advertisements provided by the same advertiser as advertisements to be output, or may select two or more advertisements for the same target.

In S710, the output unit 509 starts outputting the advertisement to be output. The output unit 509 may output advertisement data to the display processing unit 240 to play the advertisement to be output. The output unit 509 may further output the current generation time to the display processing unit 240 to display it together with the advertisement.

In S712, the measurement unit 508 determines whether or not a reference time has elapsed since S706, that is, whether or not the generation time being measured has exceeded the reference time. If it is determined that the reference time has elapsed (S706; Yes), the process may proceed to S720, and if it is determined that the reference time has not elapsed (S706; No), the process may proceed to S714.

In S714, the detection unit 506 determines whether or not content generation by the generation AI 5021 has been completed. The detection unit 506 may determine that content generation has been completed in response to detecting that content has been output from the generation AI 5021 to the output unit 509. If it is determined that content generation has not been completed (S714; No), processing may proceed to S712, and if it is determined that content generation has been completed (S714; Yes), processing may proceed to S716.

In S716, the output unit 509 ends the output of the advertisement. As a result, a portion of the advertisement to be output that corresponds to the generation time of the content is output. The output unit 509 may also end the output of the generation time. The measurement unit 508 may end the measurement of the generation time and the supply of the generation time to the output unit 509.

In S718, the output unit 509 outputs the generated content. As a result, the generated content is stored in the user information in the database 200. In addition, the game state is updated according to the generated content, and the content is displayed on the game screen.

In S720, the output unit 509 outputs an error message. In response to a reference time having elapsed since the output of the error message or in response to a user operation being performed, the output unit 509 may instruct the display processing unit 240 and the game processing unit 220 to return the state of the game to the state before the advertisement was displayed.

Figure 8 shows an example of the operation of the content generation unit 230. As an example, in this figure, as shown in the upper box, when a user inputs a generation command in natural language such as "I want you to make something spicy," the generation AI 5021 starts generating image content according to the generation condition of "spicy food." This causes a pop-up advertisement video to be displayed over the duration of the content generation time, as shown in the middle box. Then, when an image of curry and rice is generated as content according to the generation conditions, the advertisement display ends and the content image is displayed, as shown in the lower box.

Second Embodiment
9 shows a content generating unit 230A according to the second embodiment. The content generating unit 230A has a storage unit 502A, a prediction unit 511A, a selection unit 504A, and an output unit 509A. In the content generating unit 230A according to the present embodiment, components that are substantially the same as those in the content generating unit 230 shown in FIG. 5 are designated by the same reference numerals, and description thereof will be omitted.

The storage unit 502A has a prediction model 5023. The prediction model 5023 outputs a predicted content generation time (also referred to as a predicted generation time) in response to input of content generation conditions. The prediction model 5023 may be trained in advance using learning data including the generation conditions and the generation time actually required to generate the content. In the present embodiment, as an example, the prediction model 5023 may be trained using learning data including a content generation instruction including the generation conditions and the content generation time, and may output a predicted generation time in response to input of a generation instruction. As an example, the prediction model 5023 may be generated by a learning algorithm such as logistic regression, a support vector machine, a decision tree, a random forest, or a neural network. The learning data may further include state data indicating the state of the server device 20 when generating the content. The state of the server device 20 may be, for example, the magnitude of the load, and may be, for example, the CPU usage rate or the memory usage rate. If the learning data includes state data of the server device 20, the prediction model 5023 may output a predicted generation time in response to input of a generation instruction and state data.

The prediction unit 511A predicts the generation time based on the generation conditions. The prediction unit 511A may receive a generation instruction from the acquisition unit 500 together with the instruction unit 503, and may predict the generation time based on the generation conditions included in the generation instruction. The prediction unit 511A may perform prediction using the prediction model 5023, and may supply the generation instruction supplied from the acquisition unit 500 to the prediction model 5023, and may output the predicted generation time from the prediction model 5023 as a prediction result of the generation time. When the learning data includes state data of the server device 20, the prediction unit 511A may acquire current state data, supply the generation instruction and the state data to the prediction model 5023, and may output the predicted generation time from the prediction model 5023 as a prediction result of the generation time. The prediction unit 511A may supply the predicted generation time to the selection unit 504A.

The selection unit 504A selects at least one advertisement from the multiple advertisements stored in the advertisement storage unit 5022. The selection unit 504A according to this embodiment selects at least one advertisement having a length corresponding to the predicted generation time from the multiple advertisements each having a predetermined playback time. Here, the advertisement corresponding to the predicted generation time may be an advertisement corresponding to the length of the predicted generation time, and as an example, may be an advertisement of the length of the predicted generation time. The selection unit 504A may select one or more advertisements as advertisements to be outputted such that the sum of the playback times is the predicted generation time. The selection unit 504A may select one advertisement multiple times.

When selecting multiple advertisements, the selection unit 504A may select two or more advertisements provided by the same advertiser from among the multiple advertisements stored in the advertisement storage unit 5022 based on the advertiser ID or target ID stored in the advertisement storage unit 5022, or may select two or more advertisements for the same target. The selection unit 504A may randomly select one or more advertisements, or may preferentially select an advertisement for a target in which the user is interested based on preference data included in the user information. The selection unit 504A may read out advertisement data of the selected advertisement from the advertisement storage unit 5022 and supply it to the output unit 509A as an advertisement to be output. When selecting multiple advertisements, the selection unit 504A may arrange the multiple advertisements in order and supply them to the output unit 509A as advertisements to be output. The selection unit 504A may supply the predicted generation time supplied from the prediction unit 511A to the output unit 509A together with the advertisement to be output.

The output unit 509A outputs the content generated by the generation AI 5021. The output unit 509A may output information indicating the generated content to the database 200, the game processing unit 220, and the display processing unit 240. As a result, the generated content may be stored in the user information in the database 200, the game state may be updated according to the generated content, and the content may be displayed on the game screen.

Furthermore, before outputting the content, the output unit 509A outputs an advertisement according to the generation time of the content. In this embodiment, as an example, the output unit 509A may output an advertisement according to the predicted generation time. The output unit 509A may output the advertisement to be output, which is supplied from the selection unit 504A. The output unit 509A may output advertisement data to the display processing unit 240 to display the advertisement to be output.

Here, since the selection unit 504A according to this embodiment selects at least one advertisement having a length according to the predicted generation time as the advertisement to be output, the output unit 509A may output the advertisement to be output over a period from when a content generation instruction is input until the predicted generation time has elapsed by outputting the entire advertisement to be output. Furthermore, when multiple advertisements are selected as advertisements to be output by the selection unit 504A, the output unit 509A may output each advertisement selected by the selection unit 504 in order. When an advertisement is selected multiple times by the selection unit 504A as an advertisement to be output, the output unit 509A may output the advertisement the number of times it was selected. After the output of the advertisement is completed, the output unit 509A may output the generated content.

The output unit 509A may further output at least one of the predicted generation time supplied from the selection unit 504A or the remaining time until the advertisement is output, and display them together with the advertisement. The remaining time until the advertisement is output may be the time obtained by subtracting the elapsed time from the time the predicted generation time was supplied from the selection unit 504A from the predicted generation time. As an example, the remaining time until the advertisement is output may be calculated by the output unit 509A by counting down the predicted generation time over time.

According to the server device 20 having the above-described content generation unit 230A, the generation time is predicted based on the generation conditions, so unlike when the generation time is measured, the advertisement can be output according to the generation time obtained in advance.

In addition, at least one advertisement having a length corresponding to the generation time is selected from a plurality of advertisements each having a predetermined playback time and output in sequence, so that advertisements of various lengths corresponding to the generation time can be output.

In addition, two or more advertisements provided by the same advertiser are selected from among the multiple advertisements, so advertisements from the same advertiser can be output intensively, thereby improving advertising effectiveness.

In addition, two or more advertisements for the same target are selected from among the multiple advertisements, so advertisements for the same target can be output intensively, thereby increasing advertising effectiveness.

In addition, one advertisement is selected multiple times as an advertisement to be output, and is output the same number of times as selected, so the same advertisement can be output intensively, thereby increasing the advertising effectiveness.

In addition, at least one of the generation time or the remaining time until the advertisement is output is output together with the advertisement, which reduces the stress that the user feels when viewing the advertisement.

Figure 10 shows the processing flow in the content generation unit 230A according to this embodiment. The content generation unit 230A may execute the processing flow of this figure in the game processing in S506 described above. Note that the processing in S702 and S704 is similar to that in the first embodiment described above, and therefore will not be described here.

In S736, the prediction unit 511A predicts the generation time based on the content generation conditions included in the generation instruction. The prediction unit 511A may perform the prediction using the prediction model 5023.

At S738, the selection unit 504A selects at least one advertisement having a length corresponding to the predicted generation time from the multiple advertisements stored in the advertisement storage unit 5022. The selection unit 504A may select one or multiple advertisements as the advertisements to be output so that the sum of the playback times is the predicted generation time.

In S740, the output unit 509A outputs an advertisement according to the predicted generation time of the content. The output unit 509A may output advertisement data to the display processing unit 240 to play the advertisement to be output. The output unit 509A may play the advertisement to be output for a period from when an instruction to generate the content is input until the predicted generation time has elapsed by outputting the entire advertisement to be output. As a result, after the advertisement to be output is played, the predicted generation time has elapsed and the generation of the content is completed. The output unit 509A may further output at least one of the predicted generation time supplied from the selection unit 504A or the remaining time for which the advertisement will be output, and display it together with the advertisement.

At S742, the output unit 509A outputs the generated content. As a result, the generated content is stored in the user information in the database 200. In addition, the game state is updated according to the generated content, and the content is displayed on the game screen.

Third Embodiment
Fig. 11 shows a content generation unit 230B according to the third embodiment. The content generation unit 230B has an output unit 509B. Note that in the content generation unit 230B according to this embodiment, components that are substantially the same as those in the content generation units 230 and 230A shown in Figs. 5 and 9 are designated by the same reference numerals, and descriptions thereof will be omitted.

The output unit 509B has an adjustment unit 5091B, and acquires the predicted generation time from the prediction unit 511A and acquires advertisement data of the advertisement to be output from the selection unit 504. The adjustment unit 5091B adjusts the playback speed of the advertisement to be output. Adjusting the playback speed may mean making the playback speed faster or slower than a reference playback speed. The reference playback speed may be a predetermined playback speed. The adjustment unit 5091B may adjust the playback speed of the advertisement to be output so that the length of the playback time of the advertisement to be output is the length of the predicted generation time, and may adjust the playback speed so that the advertisement to be output, which has the length of the reference playback time when played back at the reference playback speed, has the length of the predicted generation time. The adjustment of the playback speed may be performed by changing the frame rate included in the header of the advertisement data, etc.

By having such an adjustment unit 5091B, the output unit 509B according to this embodiment outputs the advertisement to be output, which will have the length of the reference playback time when played at the reference playback speed, at a playback speed different from the reference playback speed so that it has the length of the predicted generation time. When the output unit 509B outputs the advertisement to be output at a playback speed different from the reference playback speed, this may mean changing the frame rate included in the header of the advertisement data, etc., to a playback speed different from the reference playback speed and outputting the advertisement data of the advertisement to be output. Note that the advertisement to be output, which will have the length of the predicted generation time when played at the reference playback speed, may be output at the reference playback speed without having its playback speed adjusted by the adjustment unit 5091B.

The output unit 509B may further output at least one of the predicted generation time supplied from the prediction unit 511A or the remaining time until the advertisement is to be output, in the same manner as the output unit 509A in the second embodiment described above, and display it together with the advertisement. The output unit 509B may output the generated content after the output of the advertisement is completed, in the same manner as the output unit 509A in the second embodiment described above.

According to the server device 20 having the above-described content generation unit 230B, an advertisement that has the length of the standard playback time when played back at the standard playback speed is output at a playback speed different from the standard playback speed so that the advertisement has the length of the generated time. Therefore, advertisements according to various lengths of generation times can be output.

Figure 12 shows the processing flow in the content generation unit 230B according to this embodiment. The content generation unit 230B may execute the processing flow of this figure in the game processing in S506 described above. Note that the processing in S702, S704, and S736 is similar to that in the first and second embodiments described above, and therefore will not be described here.

In S758, the selection unit 504 selects at least one advertisement from the multiple advertisements stored in the advertisement storage unit 5022 as an advertisement to be output. The selection unit 504 may select an advertisement in the same manner as in S708 described above.

In S760, the output unit 509B outputs the advertisement to be output so that it is played for the length of the predicted generation time. The output unit 509B may output an advertisement that has the length of the standard playback time when played at the standard playback speed, at a playback speed different from the standard playback speed so that it has the length of the predicted generation time. As a result, after the advertisement to be output is played, the predicted generation time has elapsed and the generation of the content is completed.

In S762, the output unit 509B outputs the generated content. As a result, the generated content is stored in the user information in the database 200. In addition, the game state is updated according to the generated content, and the content is displayed on the game screen.

In the above third embodiment, the adjustment unit 5091B has been described as adjusting the overall playback speed of the advertisements to be output, but the adjustment unit 5091B may adjust the playback speed of only some of the advertisements included in the advertisements to be output. For example, the adjustment unit 5091B may maintain the playback speed of one or more advertisements at the beginning or end of the advertisements to be output at the standard playback speed, and adjust only the playback speed of the remaining advertisements.

(Modification)
In the above embodiments, the output units 509 and 509B have been described as outputting the advertisement to be output and the generated content to the display processing unit 240, but they may be output to the user via a display. In other words, the output units 509 and 509B may play the advertisement to be output and display the generated content.

In addition, while the advertisement has been described as a video, it may be a video with audio, a still image, or audio. In these cases, the output units 509 and 509B may output the advertisement to be output to at least one of the display processing unit 240 and the audio output processing unit.

In addition, although the content generated by the generation AI 5021 has been described as an image, the type of content is not limited to this. As an example, the content may be text or audio. If the content is audio, the output units 509, 509B may output the generated content to an audio output processing unit. Furthermore, although the content has been described as being generated within the game, the content may be generated independently of the game.

Although the content generating unit 230 has been described as having a memory unit 502, a selection unit 504, a detection unit 506, a measurement unit 508, and an invalidation unit 510, any of these may not be included. If the content generating unit 230 does not have a memory unit 502, the generation AI 5021 and the advertisement storage unit 5022 may be stored in an external storage device. If the content generating unit 230 does not have a selection unit 504, only the advertisement to be output may be stored in the advertisement storage unit 5022. If the content generating unit 230 does not have a detection unit 506, the content generating unit 230 may have a prediction unit 511A and a prediction model 5023, and a part of the advertisement to be output that corresponds to the generation time predicted by the prediction unit 511A may be output from the output unit 509. If the content generating unit 230 does not have a measurement unit 508, the output unit 509 may not output an error message. If the content generation unit 230 does not have the disabling unit 510, the output of the advertisement by the output unit 509 does not need to be disabled.

Similarly, although the content generation unit 230A has been described as having a memory unit 502A and an invalidation unit 510, it may not have any of these. If the content generation unit 230A does not have a memory unit 502A, the generation AI 5021, advertisement memory unit 5022, and prediction model 5023 may be stored in an external storage device. If the content generation unit 230A does not have an invalidation unit 510, the output of advertisements by the output unit 509A does not need to be invalidated.

Similarly, although the content generation unit 230B has been described as having a memory unit 502A, a selection unit 504, and a disabling unit 510, it may not have any of these. If the content generation unit 230B does not have a selection unit 504, only the advertisement to be output may be stored in the advertisement storage unit 5022. If the content generation unit 230B does not have a storage unit 502A, the generation AI 5021, the advertisement storage unit 5022, and the prediction model 5023 may be stored in an external storage device. If the content generation unit 230B does not have a disabling unit 510, the output of advertisements by the output unit 509B does not need to be disabled.

Various embodiments of the present invention may be described with reference to flow charts and block diagrams, where a block may represent (1) a stage of a process in which an operation is performed or (2) a section of an apparatus responsible for performing an operation. Particular stages and sections may be implemented by dedicated circuitry, programmable circuitry provided with computer readable instructions stored on a computer readable medium, and/or a processor provided with computer readable instructions stored on a computer readable medium. Dedicated circuitry may include digital and/or analog hardware circuitry and may include integrated circuits (ICs) and/or discrete circuits. Programmable circuitry may include reconfigurable hardware circuitry including logical AND, logical OR, logical XOR, logical NAND, logical NOR, and other logical operations, memory elements such as flip-flops, registers, field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), and the like.

A computer-readable medium may include any tangible device capable of storing instructions that are executed by a suitable device, such that a computer-readable medium having instructions stored thereon comprises an article of manufacture that includes instructions that can be executed to create means for performing the operations specified in the flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, and the like. More specific examples of computer-readable media may include floppy disks, diskettes, hard disks, random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), electrically erasable programmable read-only memories (EEPROMs), static random access memories (SRAMs), compact disk read-only memories (CD-ROMs), digital versatile disks (DVDs), Blu-ray disks, memory sticks, integrated circuit cards, and the like.

The computer readable instructions may include either assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk®, JAVA®, C++, etc., and conventional procedural programming languages such as the "C" programming language or similar programming languages.

The computer-readable instructions may be provided to a processor or programmable circuit of a programmable data processing device such as a computer, either locally or over a wide area network (WAN) such as a local area network (LAN) or the Internet, and the computer-readable instructions may be executed to create a means for performing the operations specified in the flowchart or block diagram. Here, the computer may be a personal computer (PC), a tablet computer, a smartphone, a workstation, a server computer, a general-purpose computer, or a special-purpose computer, or may be a computer system in which multiple computers are connected. Such a computer system in which multiple computers are connected is also called a distributed computing system, and is a computer in the broad sense. In a distributed computing system, multiple computers collectively execute a program by each executing a part of the program and transferring data between the computers as necessary during program execution.

Examples of processors include computer processors, central processing units (CPUs), processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc. A computer may have one processor or multiple processors. In a multiprocessor system with multiple processors, each processor executes a part of a program, and the multiple processors collectively execute a program by passing data between processors as necessary during program execution. For example, in multitasking, each of the multiple processors may execute a part of each task in small chunks by task switching for each time slice. In this case, which part of a program each processor executes changes dynamically. Which part of a program each of the multiple processors executes may be statically determined by programming that is aware of the multiprocessor.

13 shows an example of a computer 1200 in which aspects of the present invention may be embodied in whole or in part. A program installed on the computer 1200 may cause the computer 1200 to function as or perform operations associated with an apparatus or one or more sections of the apparatus according to an embodiment of the present invention, and/or to perform a process or steps of the process according to an embodiment of the present invention. Such a program may be executed by the CPU 1212 to cause the computer 1200 to perform certain operations associated with some or all of the blocks of the flowcharts and block diagrams described herein.

The computer 1200 according to this embodiment includes a CPU 1212, a RAM 1214, a graphics controller 1216, and a display device 1218, which are interconnected by a host controller 1210. The computer 1200 also includes input/output units such as a communication interface 1222, a storage device 1224 such as a hard disk drive, a DVD-ROM drive 1226, and an IC card drive, which are connected to the host controller 1210 via an input/output controller 1220. The computer also includes legacy input/output units such as a ROM 1230 and a keyboard 1242, which are connected to the input/output controller 1220 via an input/output chip 1240.

The CPU 1212 operates according to the programs stored in the ROM 1230 and the RAM 1214, thereby controlling each unit. The graphics controller 1216 retrieves image data generated by the CPU 1212 into a frame buffer or the like provided in the RAM 1214 or into itself, and causes the image data to be displayed on the display device 1218.

The communication interface 1222 communicates with other electronic devices via a network. The storage device 1224 stores programs and data used by the CPU 1212 in the computer 1200. The DVD-ROM drive 1226 reads programs or data from the DVD-ROM 1227 and provides the programs or data to the storage device 1224 via the RAM 1214. The IC card drive reads programs and data from an IC card and/or writes programs and data to an IC card.

ROM 1230 stores therein a boot program, etc., executed by computer 1200 upon activation, and/or a program that depends on the hardware of computer 1200. I/O chip 1240 may also connect various I/O units to I/O controller 1220 via a parallel port, a serial port, a keyboard port, a mouse port, etc.

The programs are provided by a computer-readable medium such as a DVD-ROM 1227 or an IC card. The programs are read from the computer-readable medium, installed in the storage device 1224, RAM 1214, or ROM 1230, which are also examples of computer-readable media, and executed by the CPU 1212. The information processing described in these programs is read by the computer 1200, and brings about cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be constructed by realizing the manipulation or processing of information according to the use of the computer 1200.

For example, when communication is performed between computer 1200 and an external device, CPU 1212 may execute a communication program loaded into RAM 1214 and instruct communication interface 1222 to perform communication processing based on the processing described in the communication program. Under the control of CPU 1212, communication interface 1222 reads transmission data stored in a transmission buffer processing area provided in RAM 1214, storage device 1224, DVD-ROM 1227, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes reception data received from the network to a reception buffer processing area or the like provided on the recording medium.

The CPU 1212 may also cause all or a necessary portion of a file or database stored in an external recording medium such as the storage device 1224, DVD-ROM drive 1226 (DVD-ROM 1227), an IC card, etc. to be read into the RAM 1214, and perform various types of processing on the data on the RAM 1214. The CPU 1212 then writes back the processed data to the external recording medium.

Various types of information, such as various types of programs, data, tables, and databases, may be stored in the recording medium and may undergo information processing. The CPU 1212 may perform various types of processing on the data read from the RAM 1214, including various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, information search/replacement, etc., as described throughout this disclosure and specified by the instruction sequence of the program, and writes back the results to the RAM 1214. The CPU 1212 may also search for information in a file, database, etc. in the recording medium. For example, if multiple entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, the CPU 1212 may search for an entry that matches a condition in which an attribute value of the first attribute is specified from among the multiple entries, read the attribute value of the second attribute stored in the entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

The above-described programs or software modules may be stored on a computer-readable medium on the computer 1200 or in the vicinity of the computer 1200. In addition, a recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as a computer-readable medium, thereby providing the programs to the computer 1200 via the network.

The present invention has been described above using an embodiment, but the technical scope of the present invention is not limited to the scope described in the above embodiment. It is clear to those skilled in the art that various modifications and improvements can be made to the above embodiment. It is clear from the claims that forms with such modifications or improvements can also be included in the technical scope of the present invention.

The order of execution of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before" or "prior to," and it should be noted that the processes may be performed in any order, unless the output of a previous process is used in a later process. Even if the operational flow in the claims, specifications, and drawings is explained using "first," "next," etc. for convenience, it does not mean that it is necessary to perform the processes in this order.

"Additional Notes"
According to the specification and drawings of the present application, the following features are also disclosed as appendices.
"assignment"
The purpose is to prevent a decline in interest.
"Solution"
(Appendix 1)
Computer,
an acquisition unit that acquires a generation instruction including a generation condition of the object;
An instruction unit that instructs a generation AI to generate an object in response to the generation instruction;
A program that causes an object according to the generation conditions to function as an output unit that outputs an advertisement according to the generation time generated by the generation AI.
(Appendix 2)
The computer,
a selection unit that selects at least one advertisement having a length corresponding to the generation time from a plurality of advertisements each having a predetermined playback time;
2. The program according to claim 1, wherein the output unit sequentially outputs each advertisement selected by the selection unit.
(Appendix 3)
The program according to claim 2, wherein the selection unit selects two or more advertisements provided by the same advertiser from among the plurality of advertisements.
(Appendix 4)
The program according to claim 2, wherein the selection unit selects two or more advertisements for the same target from among the plurality of advertisements.
(Appendix 5)
The selection unit selects one advertisement multiple times,
3. The program according to claim 2, wherein the output unit outputs the one advertisement a selected number of times.
(Appendix 6)
The program described in Appendix 1, wherein the output unit outputs an advertisement that has a length of a standard playback time when played at a standard playback speed, at a playback speed different from the standard playback speed so that the advertisement has the length of the generated time.
(Appendix 7)
The program according to claim 1, wherein the output unit outputs a portion of an advertisement having a predetermined playback time corresponding to the generation time.
(Appendix 8)
The computer,
Further functioning as a detection unit that detects the generation of an object by the generation AI,
The program described in Appendix 7, wherein the output unit outputs a portion of an advertisement having a predetermined playback time corresponding to the generation time from when the instruction unit instructs the generation AI to generate an object to when the detection unit detects the generation of the object.
(Appendix 9)
The computer,
The measurement unit further functions as a measurement unit for measuring the generation time,
9. The program according to claim 8, wherein the output unit outputs an error message in response to the generation time measured by the measurement unit exceeding a reference time.
(Appendix 10)
2. The program of claim 1, further causing the computer to function as a storage unit that stores the advertisement in advance.
(Appendix 11)
11. The program according to any one of appendices 1 to 7 and 10, further causing the computer to function as a prediction unit that predicts the generation time based on the generation conditions.
(Appendix 12)
The program of claim 1, further causing the computer to function as the generating AI.
(Appendix 13)
The program described in Appendix 1, wherein the output unit outputs an advertisement for a period of time until a generation time has elapsed after the generation AI is instructed to generate an object.
(Appendix 14)
2. The program according to claim 1, wherein the output unit further outputs at least one of the generation time or a remaining time until the advertisement is output.
(Appendix 15)
The acquisition unit acquires a generation instruction from a user,
The program causes the computer to:
The program according to claim 1, further functioning as a disabling unit that disables the output of advertisements by the output unit in response to the user satisfying a predetermined condition.
(Appendix 16)
an acquisition unit that acquires a generation instruction including a generation condition of the object;
An instruction unit that instructs a generation AI to generate an object in response to the generation instruction;
An output unit that outputs an advertisement according to a generation time at which the generation AI generates an object according to the generation conditions.

The solution constituted by the above program may be appropriately diverted to the fields of devices, systems, methods, and media.

10 System 20 Server device 30 Terminal device 40 Network 50 Input device 60 Display device 200 Database 210 Instruction input unit 220 Game processing unit 230, 230A, 230B Content generation unit 240 Display processing unit 300 Terminal input processing unit 305 Terminal state acquisition unit 310 Terminal transmission unit 320 Terminal reception unit 330 Terminal display processing unit 500 Acquisition unit 502, 502A Storage unit 503 Instruction unit 504, 504A Selection unit 506 Detection unit 508 Measurement unit 509, 509A, 509B Output unit 510 Invalidation unit 511A Prediction unit 1200 Computer 1210 Host controller 1212 CPU
1214 RAM
1216 Graphic controller 1218 Display device 1220 Input/output controller 1222 Communication interface 1224 Storage device 1226 DVD-ROM drive 1227 DVD-ROM
1230 ROM
1240 Input/Output Chip 1242 Keyboard 5021 Generation AI
5022 Advertisement storage unit 5023 Prediction model 5091B Adjustment unit

Claims (16)

Computer,
an acquisition unit that acquires a generation instruction including a generation condition of the object;
An instruction unit that instructs a generation AI to generate an object in response to the generation instruction;
A program that causes an object according to the generation conditions to function as an output unit that outputs an advertisement according to the generation time generated by the generation AI. The computer,
a selection unit that selects at least one advertisement having a length corresponding to the generation time from a plurality of advertisements each having a predetermined playback time;
The program according to claim 1 , wherein the output unit sequentially outputs each advertisement selected by the selection unit. The program according to claim 2, wherein the selection unit selects two or more advertisements provided by the same advertiser from among the plurality of advertisements. The program according to claim 2, wherein the selection unit selects two or more advertisements about the same target from among the plurality of advertisements. The selection unit selects one advertisement multiple times,
The program according to claim 2 , wherein the output unit outputs the one advertisement a selected number of times. The program according to claim 1, wherein the output unit outputs an advertisement that has a length of a reference playback time when played at a reference playback speed, at a playback speed different from the reference playback speed so that the advertisement has the length of the generated time. The program according to claim 1, wherein the output unit outputs a portion of an advertisement having a predetermined playback time that corresponds to the generation time. The computer,
Further functioning as a detection unit that detects the generation of an object by the generation AI,
The program according to claim 7, wherein the output unit outputs a portion of an advertisement having a predetermined playback time corresponding to the generation time from when the instruction unit instructs the generation AI to generate an object to when the detection unit detects the generation of the object. The computer,
The measurement unit further functions as a measurement unit for measuring the generation time,
The program according to claim 8 , wherein the output unit outputs an error message in response to the generation time measured by the measurement unit exceeding a reference time. The program according to claim 1, further causing the computer to function as a storage unit that stores the advertisement in advance. The program according to any one of claims 1 to 7 and 10, further causing the computer to function as a prediction unit that predicts the generation time based on the generation conditions. The program of claim 1, further causing the computer to function as the generating AI. The program according to claim 1, wherein the output unit outputs the advertisement for a period of time until the generation time has elapsed after the generation AI is instructed to generate the object. The program according to claim 1, wherein the output unit further outputs at least one of the generation time or the remaining time until the advertisement is output. The acquisition unit acquires a generation instruction from a user,
The program causes the computer to:
The program according to claim 1 , further functioning as a disabling unit that disables output of the advertisement by the output unit in response to the user satisfying a predetermined condition. an acquisition unit that acquires a generation instruction including a generation condition of the object;
An instruction unit that instructs a generation AI to generate an object in response to the generation instruction;
An output unit that outputs an advertisement according to a generation time at which the generation AI generates an object according to the generation conditions.

Images