Information processing device, information processing method, and information processing program

Abstract

This technology provides optimal support for users involved in conducting online research using web-based questionnaires. [Solution] The information processing device of the present disclosure is an information processing device that assists in carrying out a predetermined survey. The information processing device includes a control unit that performs the following: obtaining a questionnaire generated for the survey; generating question items based on the questionnaire for a questionnaire that can be answered via a predetermined network, and generating a web interface to be provided via the network; distributing the questionnaire to predetermined survey subjects; and obtaining the results of the questionnaire responses from the subjects.

Description

Technical Field

[0005]

[0001] The present invention relates to an information processing apparatus, an information processing method, and an information processing program for assisting in executing a predetermined investigation.

Background Art

[0002] Conventionally, when a company develops and sells products or services, it has been collecting and analyzing information about the market and customers. And in such market research, a questionnaire survey may be used to collect non-public information.

[0003] Here, a questionnaire survey is a survey method that asks respondents to answer unified questions, and in recent years, Internet surveys have become popular. Furthermore, in such Internet surveys, a technique has been proposed that enables asking a variety of questions to questionnaire target users instead of the conventional fixed questions.

[0004] <原子力機器の制御装置及び制御方法 For example, Patent Document 1 discloses a program for obtaining evaluable expectations and satisfaction levels by asking a variety of questions to questionnaire target users. In this program, for questionnaire items for a plurality of users belonging to an organization or service, a prompt for instructing the creation of questions about the future and questions about the present is sent to a generation AI server, and questions about the future and questions about the present are received from the generation AI server, whereby the questions are created. At this time, the prompt includes attribute information of the organization or service so that questions based on the organization or service are created.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] In marketing research, online research using web (World Wide Web) questionnaires has the advantage of being quick and easy to conduct, as it requires less effort from the user involved in conducting the survey compared to mail surveys, street surveys, venue surveys, and face-to-face surveys. In recent years, self-service research tools and simple questionnaire creation tools have also become widespread. However, while conventional simple questionnaire creation tools can easily create simple lists of questions, creating web questionnaires that can be answered via a network, especially questionnaires specifically designed for online research, has presented problems such as the need for relatively expensive systems, the need for specialized knowledge (specialized programming knowledge), and the difficulty of easily expanding functionality. In other words, while it has become possible for users involved in conducting surveys to create simple questionnaires, challenges remain in creating web questionnaires that have sufficient functionality necessary for marketing research.

[0007] While the technology described in Patent Document 1 allows for the automatic generation of questions to be used in a survey using a generation AI, it cannot automatically generate the interface for a web survey distributed over a network. Thus, there is still room for improvement in technologies that support users involved in conducting online research using web surveys.

[0008] The purpose of this disclosure is to provide a technology that can suitably support users involved in conducting online research using web questionnaires. [Means for solving the problem]

[0009] The information processing device disclosed herein is an information processing device that assists in carrying out a predetermined survey. This information processing device includes a control unit that performs the following actions: obtaining a questionnaire generated for the survey; generating question items based on the questionnaire for a questionnaire that can be answered via a predetermined network, and generating a web interface to be provided via the network; distributing the questionnaire to predetermined survey subjects; and obtaining the results of the questionnaire responses from the subjects. The above survey is, for example, marketing research for a company to develop and sell products or services.

[0010] According to the information processing device described above, it is possible to generate a web interface in a format that allows users to answer questions based on a questionnaire. This makes it possible to automatically generate a web questionnaire interface that can be seamlessly distributed over a network from the questionnaire.

[0011] In the above-described information processing device, the control unit may acquire the purpose of the survey and generate the questionnaire based on the acquired purpose. This allows users involved in conducting the survey to use questionnaires that are flexibly customized according to the purpose of each individual survey (marketing research).

[0012] Furthermore, in the above-described information processing device, the control unit may, when generating the questionnaire, further provide a questionnaire generation interface to a user terminal used by a user who is a user involved in the execution of the survey, which includes an input field for receiving prompt text input for the generation AI model, and an output field for displaying the output from the generation AI model. In the questionnaire generation interface, the prompt text based on the questionnaire for generating the question items is entered into the input field, and the web interface in a format that allows answers to the question items based on the questionnaire is displayed in the output field.

[0013] In this case, the control unit may, in the questionnaire generation interface, obtain a predetermined identifier representing the question type from the prompt text entered in the input field, and display the web interface having an answer format corresponding to the obtained identifier in the output field. Furthermore, the identifier may be a string for requesting a single multiple-choice answer, a string for requesting multiple multiple-choice answers, a string for requesting a numerical answer, or a string for requesting an open-ended answer.

[0014] Furthermore, in the information processing device of this disclosure, the control unit may detect fraudulent or inconsistent responses in the survey responses based on the following: obtaining interview results from the subject using a chat service via a chatbot, and quantitative information from the survey responses and qualitative information from the interview results. This makes it possible to obtain more useful information from survey subjects for marketing research (online research).

[0015] Furthermore, this disclosure can be viewed from the perspective of a computer-based information processing method. Specifically, the information processing method of this disclosure is an information processing method that supports the execution of a predetermined survey, wherein the computer obtains a questionnaire generated for the survey, generates question items based on the questionnaire for a questionnaire that can be answered via a predetermined network, generates a web interface to be provided via the network, distributes the questionnaire to predetermined survey subjects, and obtains the results of the questionnaire responses from the subjects.

[0016] Furthermore, this disclosure can be viewed from the perspective of an information processing program. Specifically, the information processing program of this disclosure is an information processing program that assists in carrying out a predetermined survey, and causes a computer to perform the following actions: obtain a questionnaire generated for the said survey; generate question items based on the said questionnaire for a questionnaire that can be answered via a predetermined network, and generate a web interface to be provided via the network; distribute the said questionnaire to predetermined subjects of the said survey; and obtain the results of the questionnaire responses from the said subjects. [Effects of the Invention]

[0017] According to this disclosure, it is possible to suitably support users involved in conducting online research using web questionnaires. [Brief explanation of the drawing]

[0018] [Figure 1] This figure shows the schematic configuration of the information processing system in the first embodiment. [Figure 2] This figure shows in more detail the components of the server included in the information processing system in the first embodiment, as well as the components of the user terminal that communicates with the server. [Figure 3] This diagram illustrates the flow of operation of the information processing system in the first embodiment. [Figure 4] This figure illustrates the identification results obtained from the input to the pre-trained model in the first embodiment, and the neural network that constitutes the pre-trained model. [Figure 5] This diagram illustrates a questionnaire generated based on the purpose of the survey. [Figure 6] This is the first diagram illustrating the survey creation interface. [Figure 7] This is the second diagram illustrating the survey creation interface. [Figure 8]It is a third diagram for explaining the questionnaire creation interface. [Figure 9] It is a diagram illustrating the flow of operations of the information processing system in the second embodiment.

Embodiments for Carrying Out the Invention

[0019] Hereinafter, embodiments of the present disclosure will be described based on the drawings. The configurations of the following embodiments are examples, and the present disclosure is not limited to the configurations of the embodiments.

[0020] <First Embodiment> The overview of the information processing system in the first embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing the schematic configuration of the information processing system in this embodiment. The information processing system 100 according to this embodiment includes a network 200, a server 300, and a user terminal 400. The information processing system of the present disclosure is a system that supports the execution of a predetermined survey, and the support is executed by the server 300. The above survey is, for example, a marketing research for a company to develop and sell products and services.

[0021] The network 200 is, for example, an IP network. As long as the network 200 is an IP network, it may be wireless, wired, or a combination of wireless and wired. For example, if it is wireless communication, the user terminal 400 may access a wireless LAN access point (not shown) and communicate with the server 300 via a LAN or a WAN. Further, the network 200 is not limited to these examples, and may be, for example, a public switched telephone network, an optical line, an ADSL line, a satellite communication network, or the like.

[0022] The server 300 is connected to the user terminal 400 via the network 200. In FIG. 1, for the sake of simplicity of explanation, one server 300 and four user terminals 400 are shown, but it is needless to say that these are not limited thereto.

[0023] Server 300 can be any electronic computer equipment with processing capabilities for computational and processing operations such as data acquisition, generation, and updating. For example, it may be a personal computer, server, mainframe, or other electronic device. In other words, Server 300 can be configured as a computer having a processor such as a CPU or GPU, main memory such as RAM or ROM, and auxiliary storage such as an EPROM, hard disk drive, or removable media. The removable media may be, for example, a USB memory stick or a disk recording medium such as a CD or DVD. The auxiliary storage device stores the operating system (OS), various programs, various tables, etc.

[0024] Furthermore, the server 300 may use SaaS (Software as a Service), PaaS (Platform as a Service), or IaaS (Infrastructure as a Service) via a cloud server as appropriate, without providing dedicated software, hardware, or OS for the information processing system 100 according to this embodiment.

[0025] The user terminal 400 may be any electronic device such as a mobile terminal owned by a user who is involved in conducting the survey using the information processing system 100, or by a survey subject. For example, it may be a mobile terminal, tablet terminal, smartphone, wearable device, personal computer, or other terminal device.

[0026] Next, a detailed explanation of the components of the server 300 will be given based on Figure 2. Figure 2 shows in more detail the components of the server 300 included in the information processing system 100 in the first embodiment, as well as the components of the user terminal 400 that communicates with the server 300.

[0027] The server 300 has a communication unit 301, a storage unit 302, and a control unit 303 as functional units. It loads a program stored in the auxiliary storage device into the working area of ​​the main memory and executes it. Through the execution of the program, each functional unit is controlled, thereby enabling each functional unit to perform its respective function according to its predetermined purpose. However, some or all of the functions may be implemented by hardware circuits such as ASICs or FPGAs.

[0028] Here, the communication unit 301 is a communication interface for connecting the server 300 to the network 200. The communication unit 301 consists of, for example, a network interface board and a wireless communication circuit for wireless communication. The server 300 is connected to a user terminal 400 and other external devices for communication via the communication unit 301.

[0029] The storage unit 302 comprises a main memory and an auxiliary storage device. The main memory is the memory where programs executed by the control unit 303 and data used by said control programs are stored. The auxiliary storage device is the device where programs executed by the control unit 303 and data used by said control programs are stored. The server 300 can acquire data transmitted from user terminals 400, etc., via the communication unit 301 and store the acquired data in the storage unit 302.

[0030] The control unit 303 is a functional unit that manages the control performed by the server 300. The control unit 303 can be implemented by a processing unit such as a CPU. The control unit 303 is further composed of four functional units: a first acquisition unit 3031, a generation unit 3032, a distribution unit 3033, and a second acquisition unit 3034. Each functional unit may be implemented by the CPU executing a stored program.

[0031] The first acquisition unit 3031 acquires questionnaires generated for a survey using the information processing system 100. Here, the questionnaire is, for example, a form (document) that has been pre-written with the purpose of the marketing research and the items that need to be surveyed in order to achieve that purpose. Alternatively, the questionnaire may be generated by the information processing system 100 based on the predetermined purpose of the survey (marketing research). The first acquisition unit 3031 acquires questionnaires, for example, those entered via the user terminal 400 of the user. Alternatively, the first acquisition unit 3031 may acquire questionnaires by generating them based on the purpose of the survey entered via the user terminal 400 of the user.

[0032] In this embodiment, the user terminal 400 has a communication unit 401, an input / output unit 402, and a storage unit 403 as functional units. The communication unit 401 is a communication interface for connecting the user terminal 400 to the network 200, and is configured to include, for example, a network interface board and a wireless communication circuit for wireless communication. The input / output unit 402 is a functional unit for displaying information transmitted from the outside via the communication unit 401, and for inputting information when transmitting information to the outside via the communication unit 401. The storage unit 403 is configured to include a main memory and an auxiliary memory, similar to the storage unit 302 of the server 300.

[0033] The input / output unit 402 further includes a display unit 4021, an operation input unit 4022, and an image / audio input / output unit 4023. The display unit 4021 has the function of displaying various information and is implemented by, for example, an LCD (Liquid Crystal Display) display, an LED (Light Emitting Diode) display, or an OLED (Organic Light Emitting Diode) display. The operation input unit 4022 has the function of receiving operation input from the user and is specifically implemented by soft keys such as a touch panel or hard keys. The image / audio input / output unit 4023 has the function of receiving image input such as still images and videos and is specifically implemented by a camera using an image sensor such as Charged-Coupled Devices (CCD), Metal-oxide-semiconductor (MOS), or Complementary Metal-Oxide-Semiconductor (CMOS). The image / audio input / output unit 4023 also has the function of receiving audio input and output and is specifically implemented by a microphone or speaker.

[0034] Then, the first user can use the user terminal 400 configured in this way to input the above-mentioned questionnaire or the purpose of the survey.

[0035] The generation unit 3032 generates question items based on the above-mentioned questionnaire for a survey that can be answered via the network 200, and also generates a web interface to be provided via the network 200. Such a survey is a Web (World Wide Web) survey used in marketing research (online research). Details of the processing performed by the generation unit 3032 will be explained later with reference to Figure 3.

[0036] The distribution unit 3033 distributes the web interface of the questionnaire generated by the generation unit 3032 to predetermined survey participants via the network 200. The distribution unit 3033 can distribute the questionnaire by sending the above web interface to the user terminal 400 of the participants.

[0037] The second acquisition unit 3034 acquires the response results from the target audience regarding the questionnaire distributed by the distribution unit 3033. The second acquisition unit 3034 can acquire the questionnaire response results by acquiring information transmitted from the target audience's user terminal 400.

[0038] Furthermore, the control unit 303 functions as the control unit according to this disclosure by executing the processing of the first acquisition unit 3031, the generation unit 3032, the distribution unit 3033, and the second acquisition unit 3034.

[0039] Here, the operation flow of the information processing system 100 in this embodiment will be described. Figure 3 is a diagram illustrating the operation flow of the information processing system 100 in this embodiment. Figure 3 illustrates the operation flow between the server 300 and the user terminal 400 in the information processing system 100 in this embodiment, and the processing performed by the server 300 and the user terminal 400. Note that the flow illustrated in Figure 3 illustrates the operation flow between the server 300 and the user terminals 400 of the users and the subjects of the investigation, and the processing performed by the server 300 and the user terminals 400 of the users and the subjects of the investigation.

[0040] In this embodiment, first, the purpose of the survey (marketing research) is entered into the user terminal 400 of the user (S101). Then, information regarding the purpose of the survey is transmitted from the user terminal 400 of the user to the server 300. The server 300 then acquires the information transmitted from the user terminal 400 of the user (S102).

[0041] When server 300 obtains information regarding the purpose of the survey from the user, it then generates a questionnaire based on the purpose of the survey (S103). Here, server 300 can generate a questionnaire by inputting information regarding the purpose of the survey into a pre-trained model that has been constructed by learning using data predetermined as items necessary for the survey to achieve the purpose of the marketing research. This will be explained with reference to Figures 4 and 5.

[0042] Figure 4 is a diagram illustrating the identification results obtained from the input to the pre-trained model in this embodiment, and the neural network constituting the pre-trained model. In this embodiment, a neural network model generated by deep learning is used as the pre-trained model. The pre-trained model 30 in this embodiment has an input layer 31 that receives input of information regarding the purpose of the survey, an intermediate layer (hidden layer) 32 that extracts features related to the items that need to be surveyed from the data input to the input layer 31, and an output layer 33 that outputs identification results based on the features. In the example in Figure 4, the pre-trained model 30 has one intermediate layer 32, and the output of the input layer 31 is input to the intermediate layer 32, and the output of the intermediate layer 32 is input to the output layer 33. However, the number of intermediate layers 32 is not limited to one, and the pre-trained model 30 may have two or more intermediate layers 32.

[0043] Furthermore, as shown in Figure 4, each layer 31-33 has one or more neurons. For example, the number of neurons in the input layer 31 can be set according to the input image data. Also, the number of neurons in the output layer 33 can be set according to the items that need to be investigated as a result of the identification.

[0044] Then, neurons in adjacent layers are connected as appropriate, and each connection is assigned a weight (connection weight) based on the results of machine learning. In the example in Figure 4, each neuron is connected to all neurons in the adjacent layer, but the connections between neurons are not limited to this example and can be set as appropriate.

[0045] Such a pre-trained model 30 is constructed by performing supervised learning using training data consisting of predefined data items that need to be investigated to achieve the objectives of marketing research, and their classification labels. Specifically, the combination of features and labels is given to a neural network, and the weights of the connections between neurons are tuned so that the output of the neural network matches the label. In this way, a pre-trained model for learning the features of the training data and estimating results from inputs is inductively acquired.

[0046] Figure 5 illustrates a questionnaire generated based on the purpose of the survey. The screen SC1 shown in Figure 5 is displayed on the display unit 4021 of the user terminal 400, and the screen SC1 shown in Figure 5(a) includes an input field SC11 for obtaining the purpose of the survey from the user. In the example in Figure 5(a), the user has entered "Selection of targets for deploying the new service" into the input field SC11.

[0047] Then, once the purpose of the survey is entered as described above, the server 300 uses the pre-trained model 30 described above to generate a questionnaire as shown in Figure 5(b). The screen SC1 shown in Figure 5(b) displays a questionnaire that includes the output SC12 from a human perspective and the output SC13 from a location perspective, as items that need to be investigated in order to achieve the entered purpose of the survey. In this way, since the questionnaire is generated based on the purpose of the survey, users can use a questionnaire that is flexibly customized according to the purpose of each individual survey (marketing research).

[0048] Returning to Figure 3, the information regarding the questionnaire generated by the process in S103 is transmitted to the user terminal 400 of the user, and the user terminal 400 retrieves that information (S104). As a result, the user can view the questionnaire generated by the server 300 via the user terminal 400.

[0049] Next, the server 300 generates a questionnaire creation interface (S105) and sends it to the user terminal 400 of the user.

[0050] Then, the user terminal 400 of the user receives the information sent from the server 300 and displays the questionnaire creation interface on the display unit 4021 (S106).

[0051] Here, Figure 6 is the first diagram illustrating the questionnaire creation interface. The screen SC2 shown in Figure 6 is displayed on the display unit 4021 of the user terminal 400 of the user. On the left side of the screen SC2 shown in Figure 6 is an input field SC21 for receiving prompt text input for the generated AI model, and on the right side of the screen SC2 shown in Figure 6 is an output field SC22 for displaying the output from the generated AI model. In this embodiment, a questionnaire creation interface having such a screen configuration is provided to the user terminal 400 of the user.

[0052] The above-mentioned generative AI model is an artificial intelligence model that generates output using a large-scale language model based on request information (prompt text) from the user, such as GPT (Generative Pre-trained Transformer), and in particular, OpenAI's GPT-4 (registered trademark).

[0053] Specifically, in the input field SC21 of screen SC2, as illustrated in Figure 6, prompt text based on a questionnaire for generating survey questions is entered. At this time, the user can enter the above prompt text based on the questionnaire generated by the process in S103.

[0054] In the example shown in Figure 6, the prompt input field SC21 contains an index SC211 with labels for the survey target and question items, the question text SC212, an identifier SC213 representing the question type, and a suggested answer SC214 corresponding to the identifier. Thus, in this embodiment, the identifier representing the question type is entered in the prompt text along with the question text.

[0055] Here, Figure 7 is a second diagram illustrating the questionnaire creation interface. As shown in Figure 7, the identifier representing the question type consists of the string SA for requesting a single multiple-choice answer, the string MA for requesting multiple multiple-choice answers, the string NA for requesting a numerical answer, and the string FA for requesting an open-ended answer.

[0056] Furthermore, the information entered in the prompt input field SC21 can also be saved as a JSON file.

[0057] Returning to Figure 3, when a prompt message is entered on the user terminal 400 of the user as described above (S107), the server 300 accesses the generated AI model (for example, GPT-4® of OpenAI®) (S108) and obtains the output from the generated AI model (S109). Here, the output from the generated AI model is a web interface in a format that allows the user to answer questions based on the questionnaire. Then, the above web interface is displayed on the user terminal 400 of the user (S110).

[0058] Here, Figure 8 is a third diagram illustrating the questionnaire creation interface. The screen SC2 shown in Figure 8 is displayed on the display unit 4021 of the user terminal 400 of the user. Similar to Figure 6 above, the left side of the screen SC2 shown in Figure 8 shows an input field SC21 for receiving prompt text input for the generated AI model, and the right side of the screen SC2 shown in Figure 8 shows an output field SC22 for displaying the output from the generated AI model.

[0059] As illustrated in Figure 8, the output field SC22 of screen SC2 displays the interface that will be shown on the user terminal 400 of the survey participant when they actually answer the web survey.

[0060] Then, in the output field SC22 of screen SC2, a web interface with a response format corresponding to the identification included in the prompt statement is displayed. For example, if the identification attached to a question asking for gender is SA, an interface is generated that accepts a single choice answer, either male or female. Also, for example, if the identification attached to a question asking for age is NA, an interface is generated that accepts a numerical answer.

[0061] In this way, by generating a web interface in a format that allows users to answer questions based on the questionnaire, it is possible to automatically generate a web questionnaire interface that is seamlessly distributed via the network 200 from the questionnaire.

[0062] Furthermore, the web interface displayed as described above can be configured to be editable by the user. It is also possible to output a JSON file that generates such a web interface.

[0063] Returning to Figure 3, the server 300 delivers the questionnaire, which has a web interface generated by the generation AI model, to the user terminal 400 of the target individual (S111).

[0064] Then, the user terminal 400 of the subject receives information about the questionnaire (S112), and the subject enters their answers to the questionnaire (S113).

[0065] When the server 300 obtains information regarding the survey responses sent from the target user terminal 400 (S114), it sends this information to the user terminal 400 of the user, so that the survey results are displayed on the user terminal 400 of the user (S115).

[0066] According to the information processing system 100 described above, it is possible to suitably support users involved in conducting online research using web questionnaires.

[0067] <Second Embodiment> A second embodiment will be described with reference to Figure 9. In this embodiment, the server 300 obtains interview results from the subject using a chat service via a chatbot. The server 300 then detects fraudulent or inconsistent answers in the questionnaire responses based on the quantitative information from the questionnaire responses described in the first embodiment above and the qualitative information from the interview results.

[0068] Figure 9 is a diagram illustrating the operation flow of the information processing system 100 in this embodiment. Figure 9 explains the operation flow between the server 300 and the user terminal 400 in the information processing system 100 in this embodiment, and the processes executed by the server 300 and the user terminal 400. The flow illustrated in Figure 9 explains the operation flow between the server 300 and the user terminals 400 of the users and the subjects of the investigation, and the processes executed by the server 300 and the user terminals 400 of the users and the subjects of the investigation. Furthermore, in each process shown in Figure 9, processes that are substantially the same as those shown in Figure 3 are denoted by the same reference numerals, and their detailed explanation is omitted.

[0069] In this embodiment, after obtaining the survey response from the subject, the server 300 then provides a chat service to the subject (S201). Here, the above chat service is an AI chatbot chat service, and the server 300 can provide the chat service to the subject by sending information about a portal website configured to provide the chat service to the subject's user terminal 400. The subject's user terminal 400 then obtains this information (S202).

[0070] Then, when the chat service is provided to the subject's user terminal 400, the subject can input their answers to an interview regarding a survey for the same purpose as the survey described in the first embodiment above, via the chat service using the user terminal 400 (S203).

[0071] When the server 300 obtains information regarding the interview responses transmitted from the subject's user terminal 400 (S204), it detects fraudulent or contradictory responses in the questionnaire responses based on the questionnaire responses obtained in the processing of S114 and the interview results obtained in the processing of S204 (S205). The questionnaire responses are information that can be quantitatively obtained by numerical values, indicators, etc., for items necessary to achieve the purpose of the survey, while the interview results are information that can be qualitatively obtained, such as feelings and impressions regarding the purpose of the survey. Here, in quantitative information that can be uniquely obtained by numerical values, indicators, etc., there is a possibility of fraudulent or contradictory responses by the subject. On the other hand, in qualitative information that can be conceptually obtained by feelings and impressions, etc., the conceptual ideas of the subject are easily expressed. Therefore, by comparing the quantitative information from the questionnaire responses with the conceptual ideas of the subject based on the qualitative information from the interview results, it is possible to determine that there are fraudulent responses for questionnaire questions where there are significant differences between the two, or that there are contradictory responses for questionnaire questions where there are minor differences.

[0072] The server 300 then sends the survey results, including the analysis results described above, to the user terminal 400 of the user, so that the survey results analyzed by the server 300 are displayed on the user terminal 400 (S206).

[0073] According to this, users can obtain more useful information from survey participants regarding marketing research (online research).

[0074] Furthermore, the information processing system 100 described above can effectively support users involved in conducting online research using web questionnaires.

[0075] <Other variations> The embodiments described above are merely examples, and this disclosure may be modified as appropriate without departing from its essence. For example, the processes and means described in this disclosure can be freely combined and implemented as long as no technical inconsistencies arise.

[0076] Furthermore, processes described as being performed by a single device may be divided and executed by multiple devices. For example, the first data acquisition unit 3031 may be formed in a separate arithmetic processing unit. In this case, these arithmetic processing units are preferably configured to cooperate. Also, processes described as being performed by different devices may be executed by a single device. In a computer system, the hardware configuration (server configuration) by which each function is implemented can be flexibly changed.

[0077] The present disclosure can also be realized by supplying a computer program implementing the functions described in the embodiments above to a computer, and having one or more processors in the computer read and execute the program. Such a computer program may be provided to the computer by a non-temporary computer-readable storage medium that can be connected to the computer's system bus, or it may be provided to the computer via a network. Non-temporary computer-readable storage mediums include, for example, any type of disk such as magnetic disks (floppy disks, hard disk drives (HDDs), etc.), optical disks (CD-ROMs, DVDs, Blu-ray discs, etc.), read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, optical cards, and any type of medium suitable for storing electronic instructions. [Explanation of Symbols]

[0078] 100... Information Processing Systems 200 Network 300 servers 301... Communications Department 302...Storage section 303... Control Unit 400...User terminals

Claims

1. An information processing device that assists in performing a predetermined investigation, Obtaining questionnaires generated for the aforementioned survey, For a questionnaire that can be answered via a predetermined network, the system generates question items based on the aforementioned questionnaire and generates a web interface to be provided via the network. The aforementioned questionnaire will be distributed to the predetermined target group of the aforementioned survey, Obtain the results of the aforementioned questionnaire from the aforementioned subjects, It includes a control unit that performs the following: The control unit, The objective of the aforementioned survey is obtained, and the objective is input into a pre-trained model constructed by learning using data predetermined as items necessary for the survey to achieve the predetermined objective, thereby generating a questionnaire that includes the objective and the survey items necessary for the survey to achieve that objective, and the survey items include outputs from a human perspective and outputs from a location perspective. When generating the aforementioned questionnaire, the user terminal used by the user who is involved in the execution of the survey is provided with a questionnaire generation interface that includes an input field for receiving prompt text input for the generated AI model, and an output field for displaying the output from the generated AI model. In the questionnaire generation interface, the input field receives a prompt statement that includes the purpose described in the questionnaire and the question items based on the survey items described in the questionnaire, and the output field displays the web interface in a format that allows the user to answer the question items. Information processing device.

2. The control unit, In the aforementioned questionnaire generation interface, a predetermined identification representing the question type is obtained from the prompt text entered in the input field, and the web interface having an answer format corresponding to the obtained identification is displayed in the output field. The information processing apparatus according to claim 1.

3. The aforementioned identification is a string for requesting a single multiple-choice answer, a string for requesting multiple multiple-choice answers, a string for requesting a numerical answer, or a string for requesting an open-ended answer. The information processing apparatus according to claim 2.

4. An information processing method that supports the execution of a prescribed investigation, Computers Obtaining questionnaires generated for the aforementioned survey, For a questionnaire that can be answered via a predetermined network, the system generates question items based on the aforementioned questionnaire and generates a web interface to be provided via the network. The aforementioned questionnaire will be distributed to the predetermined target group of the aforementioned survey, Obtain the results of the aforementioned questionnaire from the aforementioned subjects, Execute, The aforementioned computer, The objective of the aforementioned survey is obtained, and the objective is input into a pre-trained model constructed by learning using data predetermined as items necessary for the survey to achieve the predetermined objective, thereby generating a questionnaire that includes the objective and the survey items necessary for the survey to achieve that objective, and the survey items include outputs from a human perspective and outputs from a location perspective. When generating the aforementioned questionnaire, the user terminal used by the user who is involved in the execution of the survey is provided with a questionnaire generation interface that includes an input field for receiving prompt text input for the generated AI model, and an output field for displaying the output from the generated AI model. In the questionnaire generation interface, the input field receives a prompt statement that includes the purpose described in the questionnaire and the question items based on the survey items described in the questionnaire, and the output field displays the web interface in a format that allows the user to answer the question items. Information processing methods.

5. An information processing program that assists in performing a predetermined investigation, On the computer, Obtaining questionnaires generated for the aforementioned survey, For a questionnaire that can be answered via a predetermined network, the system generates question items based on the aforementioned questionnaire and generates a web interface to be provided via the network. The aforementioned questionnaire will be distributed to the predetermined target group of the aforementioned survey, Obtain the results of the aforementioned questionnaire from the aforementioned subjects, Make it run, To the aforementioned computer, The objective of the aforementioned survey is obtained, and the objective is input into a pre-trained model constructed by learning using data predetermined as items necessary for the survey to achieve the predetermined objective, thereby generating a questionnaire that includes the objective and the survey items necessary for the survey to achieve that objective, and the survey items include outputs from a human perspective and outputs from a location perspective. When generating the aforementioned questionnaire, the user terminal used by the user who is a user involved in the execution of the survey is provided with a questionnaire generation interface that includes an input field for receiving prompt text input for the generation AI model, and an output field for displaying the output from the generation AI model, and the above is performed. In the questionnaire generation interface, the input field receives a prompt statement that includes the purpose described in the questionnaire and the question items based on the survey items described in the questionnaire, and the output field displays the web interface in a format that allows the user to answer the question items. Information processing program.

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