Information processing device

Abstract

It can sometimes be difficult to support the development of a concept for the subject under consideration. [Solution] The information processing device includes a genre information acquisition unit that acquires genre information indicating the genre to which the subject under consideration belongs, a framework information acquisition unit that acquires framework information corresponding to the subject under consideration, a value information acquisition unit that acquires value information indicating the values ​​that the subject under consideration wishes to incorporate, and a concept information generation unit that generates concept information indicating the results of the examination of the subject under consideration according to the genre information, framework information and value information.

Description

Technical Field

[0005] , ,

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

Background Art

[0002] Techniques used when supporting business operations are known.

[0003] For example, Patent Document 1 describes an information processing system that supports the creation of a document for evaluating the business performance of a business operator. For example, the information processing system includes a first acquisition unit, a second acquisition unit, and a first output unit. According to Patent Document 1, the first acquisition unit instructs a generation AI to output input information for input items of a document for evaluating business performance for a specified business operator, and acquires the output input information. Further, the second acquisition unit instructs a generation AI to output a question sentence for acquiring missing information from the specified business operator for the acquired input information, and acquires the output question sentence. At this time, the second acquisition unit instructs the generation AI to specify missing information based on the input information for the input items output by the generation AI in the past. Then, the first output unit outputs the acquired question sentence.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] When promoting a business, there may be a case where it is desired to formulate a concept for items to be considered such as new products and new content. However, it is difficult to handle such formulation with the techniques described in Patent Document 1. As a result, there has been a problem that it may be difficult to support the formulation of a concept for items to be considered.

[0006] Therefore, one of the objectives of this disclosure is to provide an information processing device, an information processing method, and a program that can solve the above-mentioned problems. [Means for solving the problem]

[0007] To achieve this objective, the information processing device in this disclosure is A genre information acquisition unit that acquires genre information indicating the genre to which the subject under consideration belongs, A framework information acquisition unit that acquires framework information corresponding to the subject under consideration, A values ​​information acquisition unit that acquires values ​​information indicating values ​​that the subject of consideration wishes to incorporate, A concept information generation unit generates concept information that shows the results of the examination of the subject under consideration, in accordance with the genre information, the framework information, and the values ​​information. has This is the structure it takes.

[0008] Furthermore, the information processing method in this disclosure is Information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Concept information showing the results of the examination of the subject under consideration is generated based on the genre information, framework information, and values ​​information. This is the structure it takes.

[0009] Furthermore, the program in this disclosure is In an information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Generate concept information indicating the examination result of the examination target according to the genre information, the framework information, and the value concept information It is a program for realizing the process.

Effect of the Invention

[0010] According to each configuration as described above, it is possible to support concept planning for the examination target.

Brief Description of the Drawings

[0011] [Figure 1] It is a diagram showing the configuration of the generation system in the present disclosure. [Figure 2] It is a block diagram showing a configuration example of the generation device. [Figure 3] It is a diagram for explaining a processing example of the environment information acquisition unit. [Figure 4] It is a diagram showing an example of business environment information. [Figure 5] It is a diagram for explaining a processing example of the strategic information acquisition unit. [Figure 6] It is a diagram showing an example of business strategy information. [Figure 7] It is a diagram showing an example when acquiring value concept information. [Figure 8] It is a diagram showing an example when acquiring value concept information. [Figure 9] It is a diagram for explaining a processing example of the concept information generation unit. [Figure 10] It is a diagram showing an example of concept information. [Figure 11] It is a flowchart showing an operation example of the generation device. [Figure 12] It is a diagram showing a configuration example of the generation system in the second embodiment of the present disclosure. [Figure 13] It is a block diagram showing a hardware configuration example of the information processing device in the third embodiment of the present disclosure. [Figure 14] It is a block diagram showing a configuration example of the information processing device. [Figure 15]This flowchart shows an example of the operation of an information processing device. [Modes for carrying out the invention]

[0012] [First Embodiment] An example configuration of the generation system 100 in this disclosure will be described with reference to Figures 1 to 11. Figure 1 is a diagram showing the configuration of the generation system 100. Figure 2 is a block diagram showing an example configuration of the generation device 200. Figure 3 is a diagram illustrating an example of processing by the environmental information acquisition unit 252. Figure 4 is a diagram showing an example of business environmental information. Figure 5 is a diagram illustrating an example of processing by the strategic information acquisition unit 253. Figure 6 is a diagram showing an example of business strategic information. Figures 7 and 8 are diagrams showing an example of acquiring value information. Figure 9 is a diagram illustrating an example of processing by the concept information generation unit 255. Figure 10 is a diagram showing an example of concept information. Figure 11 is a flowchart showing an example of operation of the generation device 200. Note that in this disclosure, the drawings may be associated with one or more embodiments.

[0013] This disclosure describes a generation system 100 that formulates concepts for new products, new content, and other items under consideration based on acquired information. As described later, the generation system 100 acquires genre information indicating the genre to which the item under consideration belongs, framework information corresponding to the item under consideration, and value information indicating the values ​​that the item under consideration should incorporate. The generation system 100 then generates concept information indicating the results of the consideration of the item under consideration, based on the genre information, framework information, and value information. For example, the generation system 100 generates concept information, including information indicating the concept of a new product, by inputting the genre information, framework information, and value information into a trained model such as a Large Language Model (LLM). As described later, the genre information may be configured to be input directly into the trained model, or it may be configured to be input via the framework information by being used when generating the framework information.

[0014] In the following, we will explain the case where the subject of consideration is a new product as an example. For example, Figure 1 shows an overview of the generation system 100 when the subject of consideration is a new product. Referring to Figure 1, the generation system 100 acquires product genre information, framework information such as business environment information and business strategy information, and value information. The generation system 100 then generates concept information by inputting each of the acquired pieces of information into a trained model. As will be described later, the subject of consideration is not limited to a new product. For example, the subject of consideration may be a new program or any other new content. The subject of consideration may be any other subject.

[0015] Furthermore, in this disclosure, framework information may correspond to the subject under consideration. For example, if the subject under consideration is a new product, framework information may be at least one of the following: business environment information or business strategy information. Here, business environment information refers to information that shows the environment in which the company developing the new product under consideration is located. For example, business environment information may be 3C information obtainable as a result of a 3C analysis, a framework that analyzes three environments: "Customer," "Competitor," and "Company." Furthermore, business environment information may be other information than those exemplified above. For example, business environment information may be PEST information obtainable as a result of a PEST analysis, which analyzes four external environments: "Politics," "Economy," "Society," and "Technology." Business environment information may also be information that shows the environment analyzed using any other framework. Furthermore, business strategy information refers to information that shows the company's strategy or information for formulating a strategy. For example, business strategy information may include SWOT information obtained as a result of a SWOT analysis, a framework that analyzes a company using four categories: Strengths, Weaknesses, Opportunities, and Threats. Furthermore, business strategy information may be other types of information besides those exemplified above. For example, business strategy information may include Five Forces information obtained as a result of a Five Forces analysis. Business strategy information may also include information corresponding to strategies analyzed using any other framework.

[0016] Furthermore, in this disclosure, "values" refers to information that describes the characteristics of the subject under consideration, such as a product. For example, values ​​may be an abstraction of the characteristics of a product. In addition to the examples given above, values ​​may also include at least some of the following: information that describes the image the product has, information that describes the objects associated with the product, information that describes the impression or emotion the user receives from the product, and related words associated with the product.

[0017] The generation system 100 will be described in more detail below. Figure 2 shows an example of the main configuration of the generation device 200, which is an information processing device of the generation system 100. The generation device 200 is an information processing device that formulates concepts for new products. Referring to Figure 2, the generation device 200 has as its main components an operation input unit 210, a screen display unit 220, a communication interface unit 230, a storage unit 240, and an arithmetic processing unit 250.

[0018] Figure 2 illustrates a case where the functions of the generation device 200 are realized using a single information processing device. However, at least a part of the functions of the generation device 200 may be realized using multiple information processing devices, for example, by being implemented on the cloud. Furthermore, the generation device 200 does not have to include some of the configurations exemplified above, such as not having an operation input unit 210 or a screen display unit 220, and may have configurations other than those exemplified above.

[0019] The operation input unit 210 consists of an operation input device such as a keyboard or mouse. The operation input unit 210 detects the user's operation of the generation device 200 and outputs it to the calculation processing unit 250.

[0020] The screen display unit 220 consists of a screen display device such as a liquid crystal display or an organic EL (electro-luminescence) display. The screen display unit 220 can display various information stored in the storage unit 240 on the screen in response to instructions from the arithmetic processing unit 250.

[0021] The communication interface unit 230 consists of data communication circuits and the like. The communication interface unit 230 performs data communication with external devices connected via a communication line.

[0022] The storage unit 240 is a storage device such as a hard disk or memory. The storage unit 240 stores processing information and programs 246 necessary for various processes in the arithmetic processing unit 250. The programs 246 are read into the arithmetic processing unit 250 and executed to realize various processing processes. The programs 246 are pre-read from external devices or recording media via data input / output functions such as the communication interface unit 230 and stored in the storage unit 240. Examples of the main information stored in the storage unit 240 include the genre information DB (database) 241, business environment information DB 242, business strategy information DB 243, values ​​information DB 244, and concept information DB 245.

[0023] The genre information database 241 contains genre information indicating the genre to which the new product under consideration belongs. The genre information database 241 can be updated by means of genre information acquisition, such as product genre information, by the genre information acquisition unit 251.

[0024] The Business Environment Information DB242 contains business environment information such as 3C information. In other words, the Business Environment Information DB242 contains framework information. The Business Environment Information DB242 can be updated by means of the environment information acquisition unit 252, which functions as one of the framework information acquisition units, acquiring business environment information such as 3C information.

[0025] The business strategy information DB243 contains business strategy information such as SWOT information. In other words, the business strategy information DB243 contains framework information. The business strategy information DB243 can be updated by means of acquiring business strategy information such as SWOT information by the strategy information acquisition unit 253, which functions as one of the framework information acquisition units.

[0026] The values ​​information DB244 contains values ​​information. The values ​​information DB244 can be updated by means of the values ​​information acquisition unit 254 acquiring values ​​information.

[0027] Concept information DB245 contains concept information. Concept information DB245 can be updated by the concept information generation unit 255 generating concept information, etc.

[0028] The arithmetic processing unit 250 has an arithmetic device such as a CPU (Central Processing Unit) and its peripheral circuits. The arithmetic processing unit 250 reads and executes the program 246 from the memory unit 240, thereby realizing various processing functions by having the hardware and the program 246 work together. Examples of the main processing functions realized by the arithmetic processing unit 250 include the genre information acquisition unit 251, the environmental information acquisition unit 252, the strategic information acquisition unit 253, the values ​​information acquisition unit 254, the concept information generation unit 255, and the output unit 256.

[0029] The arithmetic processing unit 250 may have a GPU (Graphic Processing Unit), DSP (Digital Signal Processor), MPU (Micro Processing Unit), FPU (Floating Point Number Processing Unit), PPU (Physics Processing Unit), TPU (Tensor Processing Unit), quantum processor, microcontroller, or a combination thereof, instead of the CPU described above.

[0030] The genre information acquisition unit 251 acquires information indicating the genre to which the subject under consideration belongs, such as product genre information. For example, the genre information acquisition unit 251 acquires product genre information by receiving operations to the operation input unit 210, or by receiving information from an external device via the communication interface unit 230. The genre information acquisition unit 251 also stores the acquired product genre information in the genre information DB 241.

[0031] For example, the genre information acquisition unit 251 acquires information indicating the type of product under consideration, such as "kitchen goods," "beverages," and "daily necessities," as product genre information. The genre information acquisition unit 251 may also acquire more specific product genre information, such as "daily necessities for action heroes," "stylish kitchen goods," "coffee," and "beer." The genre information acquisition unit 251 may also acquire any more comprehensive product genre information.

[0032] The environmental information acquisition unit 252 functions as one of the framework information acquisition units. The environmental information acquisition unit 252 acquires business environment information such as 3C information. The environmental information acquisition unit 252 also stores the acquired business environment information in the business environment information DB 242.

[0033] For example, the environmental information acquisition unit 252 can acquire business environment information such as 3C information by receiving operations to the operation input unit 210, receiving information from external devices via the communication interface unit 230, etc.

[0034] Furthermore, the environmental information acquisition unit 252 may acquire business environment information such as 3C information by inputting information for analysis (hereinafter referred to as analysis information) into a trained model. Figure 3 shows a more detailed example of the processing when the environmental information acquisition unit 252 acquires business environment information such as 3C information using analysis information. Referring to Figure 3, the environmental information acquisition unit 252 acquires analysis information by receiving operations to the operation input unit 210, receiving information from external devices via the communication interface unit 230, etc. In this case, it is desirable for the environmental information acquisition unit 252 to acquire analysis information that includes information about the company, information about customers, and information about competitors. It is also desirable for the environmental information acquisition unit 252 to acquire analysis information corresponding to product genre information, etc. In other words, it is desirable for the environmental information acquisition unit 252 to acquire information about the company, customers, and competitors from the perspective of the genre that you want to create.

[0035] Furthermore, the environmental information acquisition unit 252 inputs the acquired analysis information and product genre information into a trained model such as a large-scale language model. The trained model then performs 3C analysis using the received information. As a result, the environmental information acquisition unit 252 can acquire business environment information, such as 3C information, as output from the trained model. As described above, the training model can be input with information other than analysis, such as product genre information. Therefore, the business environment information, such as 3C information, output from the trained model can reflect the product genre information.

[0036] The environmental information acquisition unit 252 may acquire business environment information such as 3C information in an editable state. For example, the environmental information acquisition unit 252 acquires 3C information, including analysis results for "Customer," "Competitor," and "Company," from a trained model. The environmental information acquisition unit 252 then displays the acquired 3C information on the screen display unit 220 or the like, and accepts edits from users who have viewed the display. As an example, as shown in Figure 4, the environmental information acquisition unit 252 displays the 3C information after adding an edit icon to each analysis result. This allows users who have viewed the display to add, delete, or change the content of each analysis result by operating the edit icon using the operation input unit 210 or the like.

[0037] Furthermore, the environmental information acquisition unit 252 may be configured to accept requests to perform hallucination checks using a trained model or the like for each analysis result included in the acquired 3C information. In this case, when the environmental information acquisition unit 252 produces output as illustrated in Figure 4, it may be configured to add a check icon or the like to instruct the execution of a hallucination check, along with an edit icon, or instead.

[0038] The strategic information acquisition unit 253 functions as one of the framework information acquisition units. The strategic information acquisition unit 253 acquires business strategy information such as SWOT information. The strategic information acquisition unit 253 also stores the acquired business strategy information in the storage unit 240.

[0039] For example, the strategic information acquisition unit 253 can acquire business strategy information such as SWOT information by receiving operations to the operation input unit 210, receiving information from external devices via the communication interface unit 230, etc.

[0040] Furthermore, the strategic information acquisition unit 253 may acquire business strategy information such as SWOT information by inputting business environment information such as 3C information into a trained model. Figure 5 shows a more detailed example of the processing when the strategic information acquisition unit 253 acquires business strategy information such as SWOT information using business environment information. Referring to Figure 5, the strategic information acquisition unit 253 acquires business environment information from the environment information acquisition unit 252. In this case, the strategic information acquisition unit 253 may acquire business environment information that has been edited by the user. In addition, the strategic information acquisition unit 253 can acquire additional information as needed by accepting operations to the operation input unit 210, accepting information from external devices via the communication interface unit 230, etc. The strategic information acquisition unit 253 may acquire arbitrary information as additional information, such as data that supplements the business environment information.

[0041] Furthermore, the strategic information acquisition unit 253 inputs the acquired business environment information and additional information into a trained model such as a large-scale language model. The trained model then performs a SWOT analysis using the received information. As a result, the strategic information acquisition unit 253 can acquire business strategy information, such as SWOT information, as output from the trained model. The strategic information acquisition unit 253 can also input business environment information reflecting product genre information into the trained model. As a result, the strategic information acquisition unit 253 can acquire business strategy information reflecting product genre information. Additionally, the strategic information acquisition unit 253 may acquire business strategy information using the same model as when acquiring business environment information. Alternatively, the strategic information acquisition unit 253 may acquire business strategy information using a different model than the one used to acquire business environment information.

[0042] Similar to the case of business environment information, the strategic information acquisition unit 253 may acquire business strategy information such as SWOT information in an editable state. For example, the strategic information acquisition unit 253 acquires SWOT information from a trained model, including analysis results for each of "Strengths," "Weaknesses," "Opportunities," and "Threats." The strategic information acquisition unit 253 then displays the acquired SWOT information on the screen display unit 220 or the like, and accepts edits from users who have viewed the display. As an example, as shown in Figure 6, the strategic information acquisition unit 253 displays the SWOT information after adding an edit icon to each analysis result. This allows users who have viewed the display to add, delete, or change the content for each analysis result by operating the edit icon using the operation input unit 210 or the like.

[0043] Furthermore, the strategic information acquisition unit 253 may be configured to accept requests to perform hallucination checks using a trained model or the like for each analysis result included in the acquired SWOT information. In this case, when the strategic information acquisition unit 253 produces output as illustrated in Figure 6, it may be configured to add a check icon or the like to instruct the execution of a hallucination check, along with an edit icon, or instead.

[0044] The values ​​information acquisition unit 254 acquires values ​​information that indicates the values ​​that the customer wishes to incorporate into the new product. The values ​​information acquisition unit 254 may acquire values ​​information that includes one or more values. The values ​​information acquisition unit 254 also stores the acquired values ​​information in the storage unit 240.

[0045] For example, the values ​​information acquisition unit 254 can acquire values ​​information by receiving operations on the operation input unit 210, receiving information from an external device via the communication interface unit 230, etc. As an example, the values ​​information acquisition unit 254 may acquire values ​​information by receiving a selection from a predetermined list of values. For example, the values ​​information acquisition unit 254 displays a list of values ​​to be stored in advance on the screen display unit 220 or the like. The values ​​information acquisition unit 254 also accepts a selection of a desired value from the displayed list by receiving operations on the operation input unit 210 from the user. In this way, the values ​​information acquisition unit 254 can acquire values ​​information that includes at least one value.

[0046] Furthermore, the values ​​information acquisition unit 254 may acquire values ​​information by accepting value selections using a product values ​​network that associates products with values. Figure 7 shows an example of a product values ​​network that the values ​​information acquisition unit 254 can display on the screen display unit 220 or the like. For example, in Figure 7, the product values ​​network includes a certain product and values ​​related to that product. In addition, the product values ​​network may include a second product that shares values ​​with the values ​​related to the first product, and values ​​related to the second product. In other words, in Figure 7, the product values ​​network includes not only values ​​related to beer A, but also values ​​related to chocolate A, beer B, instant ramen A, etc., which share common values. Thus, it is desirable for the product values ​​network to include values ​​related to multiple types of products. By including values ​​related to multiple types of products in the product values ​​network, users can make value selections from a more cross-cutting perspective.

[0047] The product value network may be configured to allow users to narrow down the product genres displayed by selecting them using the operation input unit 210 or the like. The product value network may also be configured to allow users to narrow down the types of values ​​displayed by selecting them using the operation input unit 210 or the like. For example, the product value network may be configured to display only certain values ​​based on user selection, such as displaying only values ​​common to various products or only values ​​found in a small number of products. Furthermore, the product value network may be configured to allow users to zoom in or out on the display by selecting them.

[0048] Furthermore, the values ​​information acquisition unit 254 may be configured to accept the selection of products whose values ​​it wants to analyze from the user through operations on the operation input unit 210 or the like. In this case, the values ​​information acquisition unit 254 can be configured to display a product values ​​network centered on the products selected by the user. For example, as shown in Figure 8, the values ​​information acquisition unit 254 may be configured to display candidate products on the screen display unit 220 or the like, and then accept the selection of products whose values ​​it wants to analyze from the user. Alternatively, the values ​​information acquisition unit 254 may be configured to allow the user to narrow down the candidate products through selection. For example, as illustrated in Figure 8, the user can narrow down the candidate products by selecting an option from a dropdown menu through operations on the operation input unit 210 or the like.

[0049] The values ​​network and the list of candidate products may be prepared in advance using any means necessary. For example, the values ​​network and the list of candidate products may be stored in advance in the memory unit 240 or the like.

[0050] The concept information generation unit 255 generates concept information indicating the results of the new product review in response to the input of information acquired by each of the processing units described above. The concept information generation unit 255 also stores the generated concept information in the storage unit 240.

[0051] Figure 9 shows a more detailed example of the processing when the concept information generation unit 255 generates concept information. Referring to Figure 9, the concept information generation unit 255 acquires business environment information, business strategy information, and values ​​information. The concept information generation unit 255 also inputs the business environment information, business strategy information, and values ​​information into a trained model such as a large-scale language model. As a result, the trained model performs analysis using the received information and generates concept information. Consequently, the concept information generation unit 255 can acquire concept information as output from the trained model. In addition to the information exemplified above, the concept information generation unit 255 may also input product genre information, etc., into the trained model. In other words, product genre information may be used when generating framework information such as business environment information and business strategy information, or it may be used together with or instead of the above when generating concept information. Furthermore, the concept information generation unit 255 can use a trained model that has been adjusted for concept information generation. The concept information generation unit 255 may use a pre-trained model common to the environmental information acquisition unit 252 and the like described above.

[0052] For example, a trained model can combine some of the multiple values ​​contained in the value information to generate a concept sheet that shows the concept of a new product for that combination. Furthermore, by changing the combination of values, the trained model can generate a concept sheet corresponding to each combination. For example, by performing the above processes, the trained model can generate concept information consisting of multiple concept sheets.

[0053] Figure 10 shows an example of concept information generated by the concept information generation unit 255. In the example in Figure 10, the concept information includes five concept sheets, from "Proposal 1" to "Proposal 5". Each concept sheet has items such as "Image," "Concept," "Target," "Commitment," "Background," "Values," and "Competitor Activities." Here, the "Image" item may include image data generated by inputting text from items such as "Concept" into an image generation AI (Artificial Intelligence). The image generation AI may be input with text from at least some of the arbitrary items such as "Commitment" and "Values" in addition to "Concept." The "Concept" item may also include information showing the results of consideration regarding the new product, such as concepts to be reflected in the new product or information showing the concept of the new product. The "Values" item may also include information showing the values ​​used when generating the corresponding concept sheet from among multiple values ​​included in the values ​​information. In addition, each item may include information corresponding to each item.

[0054] The concept information generation unit 255 may acquire concept information in an editable state. For example, the concept information generation unit 255 acquires concept information from a trained model. The concept information generation unit 255 then displays the acquired concept information on the screen display unit 220 or the like, and accepts edits from users who have viewed the display. As an example, as shown in Figure 10, the concept information generation unit 255 displays the concept information after adding an edit icon to each item. This allows users who have viewed the display to add, delete, or change the content of each item by operating the edit icon using the operation input unit 210 or the like. If there are changes to items used when generating images within "Image," such as the "Concept" item, the concept information generation unit 255 may be configured to regenerate the images within "Image" by inputting the changed information into the image generation AI.

[0055] Furthermore, Figure 10 is merely an example of a concept sheet or concept information. The structure of a concept sheet or concept information is not limited to the example shown in Figure 10. For example, a concept sheet may contain only some of the items exemplified above. A concept sheet may also contain items other than those exemplified above.

[0056] The output unit 256 outputs concept information, such as the example shown in Figure 10. The output unit 256 may transmit the concept information to an external device via the communication interface unit 230. For example, the output unit 256 may output the concept information as an electronic document in any format.

[0057] The output unit 256 may be configured to output at least some of the following in addition to the concept information: business environment information, business strategy information, values ​​information, etc.

[0058] The above is an example of the configuration of the generation device 200. Next, an example of the operation of the generation device 200 will be described with reference to Figure 11.

[0059] Figure 11 is a flowchart showing an example of the operation of the generation device 200. Referring to Figure 11, the genre information acquisition unit 251 acquires product genre information (step S101).

[0060] The environmental information acquisition unit 252 acquires business environment information such as 3C information (step S102). For example, the environmental information acquisition unit 252 can acquire business environment information by inputting analysis information into a trained model.

[0061] The strategic information acquisition unit 253 acquires business strategy information such as SWOT information (step S103). For example, the strategic information acquisition unit 253 can acquire business strategy information by inputting business environment information such as 3C information into a trained model.

[0062] The values ​​information acquisition unit 254 acquires values ​​information (step S104). The values ​​information acquisition unit 254 can acquire values ​​information by receiving operations to the operation input unit 210, receiving information from external devices via the communication interface unit 230, etc. The values ​​information acquisition unit 254 may also acquire values ​​information using a product values ​​network or the like.

[0063] The concept information generation unit 255 inputs business environment information, business strategy information, and values ​​information into a pre-trained model such as a large-scale language model. The concept information generation unit 255 also obtains concept information as output from the pre-trained model. In this way, the concept information generation unit 255 generates concept information from business environment information, business strategy information, and values ​​information by utilizing the pre-trained model (step S105).

[0064] The output unit 256 outputs concept information, etc. (step S106). In addition to concept information, the output unit 256 may output at least some of the following: business environment information, business strategy information, values ​​information, etc.

[0065] The above is an example of the operation of the generation device 200. Note that the operation of the generation device 200 is not limited to the example shown in Figure 11. For example, the processes from step S101 to step S104 may be performed in a different order than the one shown in Figure 11.

[0066] Thus, the generation device 200 includes a genre information acquisition unit 251, an environmental information acquisition unit 252, a strategic information acquisition unit 253, a values ​​information acquisition unit 254, and a concept information generation unit 255. With this configuration, the concept information generation unit 255 can generate concept information according to product genre information, business environment information, business strategy information, and values ​​information. As a result, users who have reviewed the generated concept information can easily confirm the concept of a new product. In this way, the generation device 200 can support the concept formulation of a new product under consideration.

[0067] Furthermore, with the configuration described above, the environmental information acquisition unit 252 can acquire business environment information such as 3C information by inputting analytical information into a trained model. Similarly, the strategic information acquisition unit 253 can acquire business strategic information such as SWOT information by inputting business environment information into a trained model. It is often difficult to perform logical analysis using the collected analytical information. However, with the configuration described above, the generation device 200 can easily perform logical analysis using the collected analytical information.

[0068] Furthermore, the values ​​information acquisition unit 254 can be configured to acquire values ​​information using a product values ​​network that includes values ​​related to multiple types of products. With such a configuration, it is possible to select values ​​that you want to incorporate into the concept from among the values ​​related to multiple products that cross genres. As a result, it is possible to acquire more flexible values ​​information that crosses genres.

[0069] [Second Embodiment] Next, with reference to Figure 12, a modified example of the generation system 100 will be described. For example, in the first embodiment, the case where the subject of consideration is a new product was illustrated. However, as mentioned above, the subject of consideration may be new content such as a new program, or any other subject.

[0070] Figure 12 shows an overview of the generation system 100 when the subject of consideration is new content. Referring to Figure 12, the generation system 100 acquires content genre information, arbitrary framework information corresponding to the subject of consideration, and value information. The generation system 100 then generates concept information by inputting each of the acquired pieces of information into a trained model. In this way, when the subject of consideration is different from a new product, the genre information will be appropriate to the subject of consideration. Similarly, the framework information can also be appropriate to the subject of consideration. The generation system 100 can generate concept information in the same way as described above by acquiring information appropriate to the subject of consideration as illustrated above and inputting it into a trained model.

[0071] As explained above, even if the subject of consideration is not a new product, the generation system 100 can generate concept information by obtaining information corresponding to the subject of consideration and performing the same processing as in the first embodiment.

[0072] [Third Embodiment] Next, with reference to Figures 13 to 15, we will describe the information processing device 300, which is a modified version of the generation device 200. Figure 13 is a diagram showing an example of the hardware configuration of the information processing device 300. Figure 14 is a block diagram showing an example of the configuration of the information processing device 300. Figure 15 is a flowchart showing an example of the operation of the information processing device 300.

[0073] The information processing device 300 is a device that generates concept information showing the results of the examination of the subject under consideration, according to genre information, framework information, and value information. Figure 13 shows an example of the hardware configuration of the information processing device 300. Referring to Figure 13, the information processing device 300 has the following hardware configuration as an example. ·CPU(Central Processing Unit)301(Arithmetic unit) ROM (Read Only Memory) 302 (Storage Device) • RAM (Random Access Memory) 303 (storage device) • Program group 304 loaded into RAM303 • Storage device 305 for storing the program group 304 • Drive device 306 for reading and writing to the recording medium 310 outside the information processing device. • Communication interface 307 that connects to the communication network 311 outside the information processing device. • Input / output interface 308 for data input and output. • Bus 309 connecting each component

[0074] Furthermore, the information processing device 300 can realize the functions of the genre information acquisition unit 321, framework information acquisition unit 322, value information acquisition unit 323, and concept information generation unit 324 shown in Figure 14 by having the CPU 301 acquire the program group 304 and execute it. The program group 304 is, for example, stored in advance in a storage device 305 or ROM 302, and the CPU 301 loads it into RAM 303 or the like and executes it as needed. Alternatively, the program group 304 may be supplied to the CPU 301 via a communication network 311, or it may be stored in advance in a recording medium 310, and the drive device 306 may read the program and supply it to the CPU 301.

[0075] Figure 13 shows an example of the hardware configuration of the information processing device 300. The hardware configuration of the information processing device 300 is not limited to the case described above. For example, the information processing device 300 may consist of only a part of the configuration described above, such as not having a drive device 306. Also, the CPU 301 may be a GPU or the like as exemplified in the first embodiment.

[0076] The genre information acquisition unit 321 acquires genre information indicating the genre to which the subject under consideration belongs. For example, the genre information acquisition unit 321 may acquire genre information by accepting operations from the user.

[0077] The framework information acquisition unit 322 acquires framework information corresponding to the subject under consideration. The framework information acquisition unit 322 may acquire framework information by any means, such as accepting operations from the user or inputting arbitrary analysis information into the trained model. In addition, the framework information acquisition unit 322 may acquire framework information by inputting genre information and other information into the trained model in addition to analysis information.

[0078] The values ​​information acquisition unit 323 acquires values ​​information that indicates the values ​​that the user wishes to incorporate into the subject of consideration. The values ​​information acquisition unit 323 may acquire values ​​information by accepting operations from the user, etc.

[0079] The concept information generation unit 324 generates concept information that shows the results of the examination of the subject under consideration, according to genre information, framework information, and values ​​information. As an example, the concept information generation unit 324 can generate concept information by inputting genre information, framework information, values ​​information, and a trained model. Genre information may also be used when acquiring framework information and input into the trained model via the framework information.

[0080] The above is an example of the configuration of the information processing device 300. Next, an example of the operation of the information processing device 300 will be explained with reference to Figure 15.

[0081] Figure 15 is a flowchart illustrating an example of the operation of the information processing device 300. Referring to Figure 15, the genre information acquisition unit 321 acquires genre information indicating the genre to which the subject under consideration belongs (step S201). The framework information acquisition unit 322 acquires framework information corresponding to the subject under consideration (step S202). The values ​​information acquisition unit 323 acquires values ​​information indicating the values ​​that the subject under consideration wishes to incorporate (step S203). Note that the order of processing from step S201 to step S203 may be changed as appropriate.

[0082] The concept information generation unit 324 generates concept information that shows the results of the examination of the subject under consideration, according to the genre information, framework information, and values ​​information (step S204). As an example, the concept information generation unit 324 can generate concept information by inputting the genre information, framework information, values ​​information, and a trained model.

[0083] Thus, the information processing device 300 includes a genre information acquisition unit 321, a framework information acquisition unit 322, a values ​​information acquisition unit 323, and a concept information generation unit 324. With this configuration, the concept information generation unit 324 can generate concept information that shows the results of the consideration of the subject of consideration, according to the genre information, framework information, and values ​​information. As a result, users who check the generated concept information can easily check the concept of the new product. In this way, the information processing device 300 can support the concept formulation of the new product that is under consideration.

[0084] The information processing device 300 described above can be realized by incorporating a predetermined program into the information processing device 300. Specifically, another form of the program described herein is a program for implementing the following processes in the information processing device: acquiring genre information indicating the genre to which the subject under consideration belongs, acquiring framework information corresponding to the subject under consideration, acquiring value information indicating the values ​​to be incorporated into the subject under consideration, and generating concept information indicating the results of the examination of the subject under consideration according to the genre information, framework information, and value information.

[0085] Furthermore, the information processing method performed by the information processing device 300 described above involves the information processing device acquiring genre information indicating the genre to which the subject of consideration belongs, acquiring framework information corresponding to the subject of consideration, acquiring value information indicating the values ​​that the subject of consideration wishes to incorporate, and generating concept information indicating the results of the consideration of the subject of consideration according to the genre information, framework information, and value information.

[0086] Even a program having the configuration described above, or a recording medium readable by a computer on which a program is recorded, or an information processing method, can achieve the same functions and effects as the information processing device 300 described above, and thus the objectives of this disclosure described above can be achieved.

[0087] <Note> Some or all of the above embodiments may also be described as follows. The following outlines the information processing device and other components described in this disclosure. However, this disclosure is not limited to the following configurations.

[0088] (Note 1) A genre information acquisition unit that acquires genre information indicating the genre to which the subject under consideration belongs, A framework information acquisition unit that acquires framework information corresponding to the subject under consideration, A values ​​information acquisition unit that acquires values ​​information indicating values ​​that the subject of consideration wishes to incorporate, A concept information generation unit generates concept information that shows the results of the examination of the subject under consideration, in accordance with the genre information, the framework information, and the values ​​information. has Information processing device. (Note 2) The concept information generation unit generates concept information that includes information indicating the concept under consideration, along with image data generated according to the concept. The information processing device described in Appendix 1. (Note 3) The concept information generation unit generates the concept information which includes information indicating the values ​​used when generating the concept information from among the values ​​included in the value information. The information processing device described in Appendix 1 or Appendix 2. (Note 4) The framework information acquisition unit acquires at least one of the following as framework information: business environment information, which is information corresponding to the business environment, and business strategy information, which is information corresponding to the business strategy. The concept information generation unit generates the concept information according to the genre information, at least one of the business environment information and the business strategy information, and the values ​​information. An information processing device as described in any one of the items from Appendix 1 to Appendix 3. (Note 5) The framework information acquisition unit acquires the business environment information corresponding to the subject under consideration in an editable format in response to the input of analytical information corresponding to the subject under consideration. The information processing device described in Appendix 4. (Note 6) The framework information acquisition unit acquires the business strategy information in an editable format according to the acquired business environment information. The information processing device described in Appendix 5. (Note 7) The aforementioned value information acquisition unit acquires the value information by accepting the selection of values ​​using a product value network that links products with values. An information processing device as described in any one of the items from Appendix 1 to Appendix 6. (Note 8) The value information acquisition unit displays the product value network in a state that allows users to narrow down the values ​​to be displayed, and accepts the selection of values ​​using the displayed product value network. The information processing device described in Appendix 7. (Note 9) Information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Concept information showing the results of the examination of the subject under consideration is generated based on the genre information, framework information, and values ​​information. Information processing methods. (Note 10) In an information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Concept information showing the results of the examination of the subject under consideration is generated based on the genre information, framework information, and values ​​information. A program to perform the processing.

[0089] Furthermore, some or all of the configurations described in Appendices 2 to 8, which are dependent on the information processing device described in Appendice 1, may also be dependent on the information processing method described in Appendice 9, the program described in Appendice 10, etc., through a similar dependency relationship. Moreover, not limited to Appendices 9 and 10, some or all of the configurations described in the appendices may also be dependent on various hardware, software, various recording means, methods, programs, or systems for recording software, without departing from the embodiments described above.

[0090] Furthermore, the programs described in each of the above embodiments and appendices can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). Programs may also be supplied to a computer using various types of transient computer-readable media. Examples of transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can be supplied to a computer via wired communication channels such as electric wires and optical fibers, or via wireless communication channels.

[0091] Although the present disclosure has been described above with reference to the embodiments described above, the present disclosure is not limited to the embodiments described above. Various modifications to the structure and details of the present disclosure can be made as can be understood by those skilled in the art within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate. [Explanation of symbols]

[0092] 100 generation systems 200 generator 210 Operation Input Section 220 Screen display section 230 Communication Interface Section 240 Storage section 241 Genre Information Database 242 Business environment information DB 243 Business Strategy Information Database 244 Values ​​Information Database 245 Concept Information Database 246 Programs 250 Arithmetic Processing Unit 251 Genre Information Acquisition Department 252 Environmental Information Acquisition Department 253 Strategic Information Acquisition Department 254 Values ​​Information Acquisition Department 255 Concept Information Generation Unit 256 Output section 300 Information Processing Devices 301 CPU 302 ROM 303 RAM 304 Program Groups 305 Storage device 306 Drive unit 307 Communication Interface 308 Input / Output Interfaces Bus 309 310 Recording media 311 Communication Network 321 Genre Information Acquisition Department 322 Framework Information Acquisition Unit 323 Values ​​Information Acquisition Department 324 Concept Information Generation Unit

Claims

1. A genre information acquisition unit that acquires genre information indicating the genre to which the subject under consideration belongs, A framework information acquisition unit that acquires framework information corresponding to the subject under consideration, A values ​​information acquisition unit that acquires values ​​information indicating values ​​that the subject of consideration wishes to incorporate, A concept information generation unit generates concept information that shows the results of the examination of the subject under consideration, in accordance with the genre information, the framework information, and the values ​​information. has Information processing device.

2. The concept information generation unit generates concept information that includes information indicating the concept under consideration, along with image data generated according to the concept. The information processing apparatus according to claim 1.

3. The concept information generation unit generates the concept information which includes information indicating the values ​​used when generating the concept information from among the values ​​included in the value information. The information processing apparatus according to claim 1.

4. The framework information acquisition unit acquires at least one of the following as framework information: business environment information, which is information corresponding to the business environment, and business strategy information, which is information corresponding to the business strategy. The concept information generation unit generates the concept information according to the genre information, at least one of the business environment information and the business strategy information, and the values ​​information. The information processing apparatus according to claim 1.

5. The framework information acquisition unit acquires the business environment information corresponding to the subject under consideration in an editable format in response to the input of analytical information corresponding to the subject under consideration. The information processing apparatus according to claim 4.

6. The framework information acquisition unit acquires the business strategy information in an editable format according to the acquired business environment information. The information processing apparatus according to claim 5.

7. The aforementioned value information acquisition unit acquires the value information by accepting the selection of values ​​using a product value network that links products with values. The information processing apparatus according to claim 1.

8. The value information acquisition unit displays the product value network in a state that allows users to narrow down the values ​​to be displayed, and accepts the selection of values ​​using the displayed product value network. The information processing apparatus according to claim 7.

9. Information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Concept information showing the results of the examination of the subject under consideration is generated based on the genre information, framework information, and values ​​information. Information processing methods.

10. In an information processing device, We obtain genre information indicating the genre to which the subject under consideration belongs. Obtain framework information corresponding to the subject under consideration, We obtain value information that indicates the values ​​that the subject of consideration wishes to incorporate. Concept information showing the results of the examination of the subject under consideration is generated based on the genre information, framework information, and values ​​information. A program to perform a process.

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