Information Processing Apparatus, Information Processing Method, and Information Processing Program

Abstract

Obtain questionnaire results that reflect the individuality of the subject. 【Solution means】When the server 14 presents a plurality of questions used in a questionnaire for investigating the individuality of the user to the user, the server 14 causes the display unit of the user terminal to display a screen that enables the user to answer the question with a continuous value. Then, the server 14 acquires a continuous value representing the answer input by the user operating the user terminal, and stores the continuous value representing the answer in the storage unit.

Description

Technical Field

[0001] The disclosed technology relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] Patent Document 1 discloses a counseling apparatus that allows respondents to freely express their feelings, enables easy tabulation and analysis, and can grasp the subjective feelings and stress of the respondents.

[0003] Patent Document 2 discloses a technique for appropriately extracting subjects who need to receive another counseling based on the results of counseling by a computer system in counseling using the SAT method, and giving the subjects an opportunity to receive appropriate psychotherapy.

[0004] Patent Document 3 discloses a system that provides appropriate mental health care services without imposing a time-consuming and mental burden of visiting a hospital.

[0005] Patent Document 4 discloses a technique that can be easily used during periods of increasing stress or free time while providing an environment that facilitates the provision of counseling services by mental health experts.

[0006] Patent Document 5 discloses providing a personality diagnosis quick reference booklet that further improves the accuracy of personality diagnosis by an egogram and enables easy knowledge of methods for improving negative elements.

[0007] Patent Document 6 discloses a technique that aims to accurately and clearly achieve the judgment of a person's character by an egogram, and thus obtains an accurate and highly reliable judgment of a person's character by an egogram.

Prior Art Documents

Patent Documents

[0008] [Patent Document 1] Japanese Patent No. 4871214 [Patent Document 2] Japanese Patent No. 4960766 [Patent Document 3] Japanese Unexamined Patent Application Publication No. 2005 - 334205 [Patent Document 4] Japanese Unexamined Patent Application Publication No. 2003 - 108674 [Patent Document 5] Utility Model Registration Gazette No. 3220569 [Patent Document 6] Japanese Unexamined Patent Application Publication No. Hei 07 - 231886 [Summary of the Invention] [Problems to be Solved by the Invention]

[0009] By the way, conventional questionnaires for investigating the individuality of subjects are questionnaires in a form that presents answer options to the subjects, and in such questionnaires, only pre - limited answer results can be obtained. For example, as an example of a questionnaire for investigating the individuality of subjects, the egogram diagnosis for diagnosing a person's personality is known.

[0010] For example, when presenting a plurality of questions to a subject in a conventional egogram diagnosis, it is in a form that presents answer options, and only results limited to discrete answers can be obtained. However, there is a problem that discrete answer results are not necessarily answer results with high resolution that reflect the individuality of the subject.

[0011] The disclosed technology has been made in view of the above circumstances, and provides an information processing apparatus, method, and program capable of obtaining questionnaire results that reflect the individuality of a subject by presenting an environment in which the subject can freely answer continuously without being restricted to answer options. [Means for Solving the Problems]

[0012] In order to achieve the above object, a first aspect of the present disclosure is an information processing apparatus in an information processing system including a user terminal and an information processing apparatus, the information processing apparatus including: a control unit configured to display, on a display unit of the user terminal, a screen that enables a user to answer a plurality of questions used in a questionnaire for investigating the individuality of the user by continuous values when presenting the plurality of questions to the user; and an answer acquisition unit configured to acquire a continuous value representing the answer input by the user who operates the user terminal and store the continuous value representing the answer in a storage unit.

[0013] A second aspect of the present disclosure is an information processing method in which a computer executes a process of displaying, on a display unit of a user terminal, a screen that enables a user to answer a plurality of questions used in a questionnaire for investigating the individuality of the user by continuous values when presenting the plurality of questions to the user, acquiring a continuous value representing the answer input by the user who operates the user terminal, and storing the continuous value representing the answer in a storage unit.

[0014] A third aspect of the present disclosure is an information processing program for causing a computer to execute a process of displaying, on a display unit of a user terminal, a screen that enables a user to answer a plurality of questions used in a questionnaire for investigating the individuality of the user by continuous values when presenting the plurality of questions to the user, acquiring a continuous value representing the answer input by the user who operates the user terminal, and storing the continuous value representing the answer in a storage unit.

Advantages of the Invention

[0015] According to the disclosed technology, an effect is obtained in that a questionnaire result reflecting the individuality of a subject can be obtained.

Brief Description of the Drawings

[0016]

Figure 1

Figure 2

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Best Mode for Carrying Out the Invention

[0017] Hereinafter, embodiments of the disclosed technology will be described in detail with reference to the drawings.

[0018] <Information Processing Apparatus of the Embodiment> FIG. 1 shows an information processing system 10 according to an embodiment. As shown in FIG. 1, the information processing system 10 of the present embodiment includes a plurality of user terminals 12A, 12B, 12C,... and a server 14 which is an example of an information processing apparatus. Each device is communicably connected by a network 20 such as the Internet. Hereinafter, any one of the plurality of user terminals 12A, 12B, 12C,... will be simply referred to as the user terminal 12. In the present embodiment, a case where a questionnaire for investigating user individuality is a questionnaire regarding egogram diagnosis will be described as an example.

[0019] (User Terminal 12) The user terminal 12 is operated by a user who receives an egogram diagnosis. As will be described later, the user terminal 12 is realized by a computer.

[0020] (Server 14) Server 14 performs an egogram diagnosis of the user who operates the user terminal 12. As will be described later, server 14 is implemented by a computer.

[0021] FIG. 2 is a diagram for explaining the present embodiment. As shown in FIG. 2, in the present embodiment, a questionnaire regarding egogram diagnosis is conducted for the user who operates the user terminal 12. Specifically, server 14 causes a plurality of questions regarding egogram diagnosis to be displayed on the display unit (for example, a touch panel display) of the user terminal 12. Then, the user answers the questions displayed on the display unit by operating his / her own user terminal 12. In the present embodiment, the case where the questionnaire to be conducted is a questionnaire regarding egogram diagnosis will be described as an example, but the present invention is not limited thereto. The present embodiment is applicable to any questionnaire as long as it is a questionnaire for investigating the individuality of the user.

[0022] In the present embodiment, an appropriateness check is performed before conducting a questionnaire regarding egogram diagnosis or the like. Specifically, as shown in FIG. 2, when conducting a questionnaire consisting of a plurality of questions regarding egogram diagnosis or the like, an appropriateness check is performed. And when the appropriateness check is passed, a plurality of questions regarding egogram diagnosis or the like are displayed on the display unit of the user terminal 12. On the other hand, when the appropriateness check fails, the questionnaire is aborted.

[0023] In the present embodiment, answers to a plurality of questions regarding egogram diagnosis or the like can be given by a continuous quantity. FIG. 3 is an example of presenting questions regarding egogram diagnosis or the like in the present embodiment. As shown in FIG. 3, the user can answer the degree of correspondence to question XX regarding egogram diagnosis or the like by a continuous quantity. For questions regarding conventional egogram diagnosis, the answers were limited to options of correspondence degrees from 3 to 5 levels. In contrast, in the present embodiment, by obtaining answers to questions regarding egogram diagnosis or the like by a continuous quantity, various individualized evaluations, classifications, and diagnoses that are not limited to the given options become possible. Details will be described later.

[0024] Figure 4 is a diagram showing an example of an appropriateness check. By performing Checks 1 to 3 as shown in Figure 4, it becomes possible to determine whether the user has appropriateness for egogram diagnosis or the like.

[0025] Specifically, for the question in Check 1 of Figure 4, "Do you think a 10 kg bag is heavier than a 1 kg bag?", the correct answer for the degree of applicability is "Applicable", and an answer where the degree of applicability is "Not applicable" or between "Applicable" and "Not applicable" is incorrect. Thus, the appropriateness check includes questions where either the affirmative or negative is the correct answer.

[0026] Also, the question in Check 2 of Figure 4, "Do you have any disabilities or malfunctions that prevent you from answering questions using devices such as smartphones, personal computers, or tablets?", is a question for, for example, people who cannot operate electronic devices well (such as the elderly). Thus, the appropriateness check includes questions regarding the operation of the user terminal 12.

[0027] Also, for the question in Check 3 of Figure 4, "Please give an answer that is neither completely 'Applicable' nor completely 'Not applicable'.", the correct answer is to answer the degree of applicability between "Applicable" and "Not applicable". Thus, the appropriateness check includes questions where neither the affirmative nor negative is the correct answer, but the middle ground is the correct answer.

[0028] Note that as shown in Figure 3, in this embodiment, based on the answers obtained by continuous quantities, the individuality and state of the user are evaluated, classified, and diagnosed without being limited to the given options, enabling analysis using mathematics and generating data applicable to machine learning. In this embodiment, the results of the current egogram diagnosis or the like are evaluated based on the distribution representing the results of the user's past egogram diagnosis or the like.

[0029] Figure 5 is a diagram for explaining the normal distribution. As shown in Figure 5, consider the case where the mean of the normal distribution is μ and the standard deviation is σ. In this case, approximately 68% of the whole exists in the region from -σ to σ of the normal distribution. Also, approximately 95% of the whole exists in the region from -2σ to 2σ. Further, approximately 99.7% of the whole exists in the region from -3σ to 3σ. In the present embodiment, the above properties of the normal distribution are utilized to evaluate the result of the egogram diagnosis obtained at the current time.

[0030] Figure 6 is a diagram for explaining the first determination algorithm of the present embodiment. As shown in Figure 6, consider the case where scores of five ego states, namely CP (Critical Parent), NP (Nurturing Parent), A (Adult), FC (Free Child), and AC (Adapted Child), are obtained by egogram diagnosis.

[0031] In this case, in the first determination algorithm, as shown in Figure 6, the mean value μ and the standard deviation σ are calculated from past data for a certain user. Then, in the first determination algorithm, as described above, based on in which range of the distribution the latest data X obtained at the current time corresponds, it is determined whether the degree of change of the user's ego state corresponding to the latest data X, which is the result of the egogram diagnosis, is "average", "changed", or "characteristically changed".

[0032] Specifically, in the first determination algorithm, as shown in Figure 6, based on the latest data X, the mean value μ of the past data, and the standard deviation σ, it is determined which of "average", "changed", and "characteristically changed" the latest data X is.

[0033] "Average": μ - σ ≤ X ≤ μ + σ "Changed": μ - 2σ ≤ X < μ - σ or μ + σ < X ≤ μ + 2σ "Characteristically changed": X < μ - 2σ or μ + 2σ < X

[0034] Note that, as shown in FIG. 6, since the latest data X = {CP, NP, A, FC, AC}, the above determination is executed for each of the five ego states. FIG. 6 exemplifies specific numerical values for making the determination for each of the five ego states. Therefore, in the first determination algorithm, the values of each ego state are statistically processed, and when comparing the latest data X with the past data, the state that occurs with a probability of about 68% is regarded as "average", the state that occurs with a probability of about 32% is regarded as "change", and the state that occurs with a probability of about 5% is regarded as "characteristic change" to determine the current user state.

[0035] FIG. 7 is a diagram for explaining the second determination algorithm of the present embodiment. In the second determination algorithm, as shown in FIG. 7, the average value μ and the standard deviation σ are calculated from all the data (including past data and the latest data X) of a certain user. Note that the latest data X is the data of 2025 / 1 / 4 in the figure. Then, in the second determination algorithm, based on the range in which the values (-1.75, 0.63, 0.48, -0.16, -0.58 in the figure) obtained by normalizing the latest data X fall, it is determined which of "very decreased", "decreased more than usual", "decreased", "average", "increased", "increased more than usual", and "very increased" it corresponds to.

[0036] Specifically, in the first determination algorithm, as shown in FIG. 7, based on the normalized latest data X, the average value μ and the standard deviation σ of the past data, it is determined which of "very decreased", "decreased more than usual", "decreased", "average", "increased", "increased more than usual", and "very increased" the latest data X is.

[0037] "Very decreased": X < -2 "Decreased more than usual": -2 ≤ X < -1 "Decreased": -1 ≤ X < 0 "Average": 0 "Increased": 0 < X ≤ 1 "Increased more than usual": 1 < X ≤ 2 "Very increased": 2 < X

[0038] Therefore, in the second determination algorithm, if the value obtained by statistically processing the value of each ego state and normalizing the latest data is 0, the change is considered to be "average". Also, in the second determination algorithm, if the value obtained by normalization is + under the condition that it occurs with a probability of about 68%, it is regarded as "increase", and if it is a - value, it is regarded as "decrease". Further, in the second determination algorithm, if the value obtained by normalization is + under the condition that it occurs with a probability of about 32%, it is regarded as "increase more than usual", and if it is a - value, it is regarded as "decrease more than usual". Moreover, in the second determination algorithm, if the value obtained by normalization is + under the condition that it occurs with a probability of about 5%, it is regarded as "increase very much", and if it is a - value, it is regarded as "decrease very much".

[0039] Incidentally, for example, when performing an electrogram diagnosis or the like once a day or once a week, the user may memorize the order of the questions in the electrogram diagnosis or the like. In such a case, it is also assumed that an appropriate electrogram diagnosis result cannot be obtained.

[0040] Therefore, in the present embodiment, when performing a plurality of electrogram diagnoses or the like for the same user at intervals of time, the plurality of questions in the current electrogram diagnosis are presented to the user in an order different from the order of the plurality of questions presented to the user during the previous electrogram diagnosis or the like. Specifically, when presenting a plurality of questions to the same user, the order of the plurality of questions is randomly rearranged every time an electrogram diagnosis or the like is performed and presented to the user. Thereby, it becomes possible to perform an electrogram diagnosis or the like that can reduce the bias and preconception due to the user's memory and reflect the individuality at the time of answering. This will be specifically described below.

[0041] As shown in FIG. 1, the server 14 functionally includes a control unit 140, an answer acquisition unit 142, a data storage unit 144, and an output unit 146.

[0042] When presenting a plurality of questions used for egogram diagnosis or the like to the user, the control unit 140 causes the display unit of the user terminal 12 to display a screen on which the user can answer the questions with continuous values. Specifically, the control unit 140 causes the display unit of the user terminal 12 to display a screen as shown in FIG. 3.

[0043] The answer acquisition unit 142 acquires a continuous value representing an answer input by the user operating the user terminal 12. Then, the answer acquisition unit 142 stores the continuous value representing the answer in the data storage unit 144.

[0044] The data storage unit 144 stores the continuous value representing the answer acquired by the answer acquisition unit 142. Note that the data storage unit 144 stores the answers for each user. In addition, the data storage unit 144 stores diagnosis results and the like for past egogram diagnoses or the like.

[0045] As described above, when presenting a plurality of questions to the same user, the control unit 140 presents the current plurality of questions to the user in an order different from the order of the plurality of questions presented to the user during the previous egogram diagnosis or the like. Specifically, the control unit 140 randomly rearranges the order of the plurality of questions each time an egogram diagnosis or the like is performed and presents them to the user.

[0046] Also, as described above, the control unit 140 causes the display unit of the user terminal 12 to display an appropriateness question that is a question different from the questions for egogram diagnosis or the like and is for examining whether the user is in an appropriate state to receive an egogram diagnosis or the like. Specifically, the control unit 140 causes the display unit of the user terminal 12 to display a screen as shown in FIG. 4. Then, the control unit 140 determines whether the user is in an appropriate state to receive an egogram diagnosis or the like based on the user's answer to the appropriateness question. The control unit 140 causes the questions for egogram diagnosis or the like to be displayed on the display unit of the user terminal 12 when the user is in an appropriate state to receive an egogram diagnosis or the like.

[0047] Also, as described above, the control unit 140 acquires diagnostic results such as multiple echogram diagnoses obtained from the same user, and generates information representing changes between the diagnostic results such as multiple echogram diagnoses based on the diagnostic results such as multiple echogram diagnoses. Specifically, the control unit 140 generates information representing a change based on the range to which the results of the current echogram diagnosis and the like obtained from the same user correspond, based on the distribution representing the past results of the echogram diagnosis and the like obtained from the same user. When generating the information representing the change, the above-described first determination algorithm or second determination algorithm is used. Therefore, the information representing the change is, for example, "average", "change", or "characteristic change". Alternatively, the information representing the change is, for example, "very decreased", "decreased more than usual", "decreased", "average", "increased", "increased more than usual", or "very increased".

[0048] The output unit 146 outputs the information representing the change acquired by the control unit 140 and the diagnostic results such as the echogram diagnosis. For example, the information representing the change and the results of the echogram diagnosis and the like are displayed on the display unit of the user terminal 12.

[0049] The user terminal 12 and the server 14 can be realized by, for example, the computer 50 shown in FIG. 8. The computer 50 includes a CPU 51, a memory 52 as a temporary storage area, and a non-volatile storage unit 53. The computer 50 also includes an input / output interface (I / F) 54 to which an external device and an output device (for example, the display unit of the user terminal 12) are connected, and a read / write (R / W) unit 55 that controls reading and writing of data to and from a recording medium. The computer 50 also includes a network I / F 56 connected to a network such as the Internet. The CPU 51, the memory 52, the storage unit 53, the input / output I / F 54, the R / W unit 55, and the network I / F 56 are connected to each other via a bus 57.

[0050] The storage unit 53 can be realized by a Hard Disk Drive (HDD), a Solid State Drive (SSD), a flash memory, or the like. A program for operating the computer 50 is stored in the storage unit 53 as a storage medium. The CPU 51 reads the program from the storage unit 53, expands it in the memory 52, and sequentially executes the processes included in the program.

[0051] [Operation of Server 14 in the Embodiment] Next, the specific operation of the server 14 in the embodiment will be described. The server 14 executes the information processing shown in FIG. 9.

[0052] First, in step S100, the control unit 140 causes an appropriate question to be displayed on the display unit of the user terminal 12.

[0053] The user answers the appropriate question displayed on the display unit of the user terminal 12.

[0054] Next, in step S102, the control unit 140 obtains the user's answer to the appropriate question.

[0055] In step S104, the control unit 140 determines whether the answer obtained in step S102 is appropriate. If the answer is appropriate, the process proceeds to step S106. On the other hand, if the answer is not appropriate, the process ends.

[0056] In step S106, the control unit 140 causes a question such as an electrogram diagnosis to be displayed on the display unit of the user terminal 12. At this time, the control unit 140 presents the plurality of questions for the current electrogram diagnosis or the like to the user in an order different from the order of the plurality of questions in the previous electrogram diagnosis or the like.

[0057] The user answers the question such as an electrogram diagnosis displayed on the display unit of the user terminal 12.

[0058] In step S108, the response acquisition unit 142 acquires a continuous value representing the response input by the user. Then, the response acquisition unit 142 stores the continuous value representing the response in the data storage unit 144.

[0059] In step S110, the control unit 140 generates information representing a change in the diagnostic result such as the current egogram diagnosis based on the past diagnostic results such as the egogram diagnosis obtained from the same user. The information representing the change is, for example, information indicating which of "average", "change", and "characteristic change" the result of the current egogram diagnosis or the like corresponds to. Or, the information representing the change is, for example, information indicating which of "very decreased", "decreased more than usual", "decreased", "average", "increased", "increased more than usual", and "very increased" the result of the current egogram diagnosis or the like corresponds to.

[0060] In step S112, the output unit 146 outputs the information representing the change obtained in step S110 and the result of the egogram diagnosis or the like.

[0061] As described above, when the server of the embodiment presents a plurality of questions used for performing an egogram diagnosis or the like, which is an example of a questionnaire for investigating the individuality of a user or generating learning data in machine learning, to the user, the server causes the display unit of the user terminal to display a screen that enables the user to answer the questions with continuous values. The server acquires a continuous value representing the response input by the user who operates the user terminal and stores the continuous value representing the response in the storage unit. Thereby, a diagnostic result or the like that reflects individuality more can be obtained when performing an egogram diagnosis or the like.

[0062] In addition, in this embodiment, by digitally displaying questions such as egogram diagnosis, it becomes possible to improve the accuracy of egogram diagnosis and the like. Further, in this embodiment, by presenting questions for determining the appropriateness of the respondent to the user, it becomes possible to obtain more appropriate results of egogram diagnosis and the like. Specifically, it becomes possible to quantitatively evaluate the degree of appropriateness of the respondent to questions such as egogram diagnosis, and it can also be used for in-depth analysis using mathematics and the development of learning models using machine learning.

[0063] In addition, in this embodiment, it is possible to input answers to questions that were conventionally input by options as continuous quantities. As a result, not only can quantitative evaluations of human psychological characteristics and personality characteristics be performed, but also mathematical analysis and the development of machine learning models become possible. As a result, it becomes possible to apply it to human mental health management, the development of indicators for evaluating human psychological characteristics and personality characteristics, the provision of individualized counseling, and individualized diagnosis and treatment. Also, in this embodiment, based on the distribution representing the results of the user's past egogram diagnosis, it becomes possible to evaluate the results of the egogram diagnosis obtained at the current time. As a result, it becomes possible to accurately evaluate what kind of mental state the user is in at the current time, and it becomes possible to appropriately perform the user's mental health management.

[0064] Note that the technology of the present disclosure is not limited to the above-described embodiments, and various modifications and applications are possible without departing from the gist of the invention.

[0065] <Modification Example 1> For example, in the above embodiment, the case where the questionnaire for investigating the individuality of the user is a questionnaire regarding the egogram diagnosis has been described as an example, but the present invention is not limited thereto. The above embodiment is applicable to any questionnaire as long as it is a questionnaire for investigating the individuality of the user. For example, it is also applicable to questionnaires regarding the quality of life related to health, such as WHOQOL-100 / BREF / 26 (a questionnaire for measuring the quality of life (QOL) of an individual developed by the World Health Organization (WHO)) and SF-36 (36-Item Short-Form Health Survey). Further, for example, it is also applicable to questionnaires regarding dementia, such as MMSE (Mini-Mental State Examination), MoCA (Montreal Cognitive Assessment Scale), MoCA-J (Japanese version of MoCA), SED-11Q, and DDQ43. Alternatively, for example, it can also be applied to questionnaires regarding the marketing of products or services, and is not limited to analysis using factor analysis or principal component analysis, and can also be used for in-depth analysis using mathematics.

[0066] <Modified Example 2> The continuous-value data representing the user's answers obtained according to the above embodiment can be used as learning data in machine learning. In a questionnaire using the conventional method of presenting options, due to the limitation of options, it is impossible to obtain answers that fully reflect the individuality and psychological characteristics of the user. Also, in a questionnaire using the conventional method of presenting options, the answer results are discrete values, and such data is difficult to use as learning data for machine learning, and the performance of learning models obtained from deep learning or reinforcement learning using machine learning is limited, and there is a problem that it is impossible to develop a learning model that can extract or generate results and features that are difficult to derive by humans or mathematical analysis. In contrast, in the above embodiment, it is possible to obtain an answer result of continuous values that reflects the individuality of the user, and such data can be used as learning data in deep learning or reinforcement learning using machine learning. In particular, information directly representing a person's mental state does not exist on the Internet. Therefore, even if a machine learning model or a deep learning model is learned using information existing on the Internet, it is impossible to generate a machine learning model or a deep learning model that appropriately reflects a person's mental state. In order to generate a high-quality machine learning model or deep learning model, it is necessary to prepare high-quality learning data. In contrast, according to the present embodiment, it is possible to acquire continuous values that reflect the individuality of the user as questionnaire answers, and such data can be used as high-quality learning data. Therefore, the control unit of the information processing apparatus according to the present embodiment may generate learning data including a plurality of continuous-value data based on the plurality of continuous-value data obtained when a plurality of questionnaires are implemented to the user, and which is learning data for generating a machine learning model or a deep learning model. Further, the control unit of the information processing apparatus may generate a learned model that reflects the individuality of the user by learning a machine learning model or a deep learning model based on the learning data.

[0067] Also, for example, in the present specification, although an embodiment in which the program is pre-installed has been described, it is also possible to store the program in a computer-readable recording medium and provide it.

[0068] In addition, in the above embodiment, the process in which the CPU reads and executes software (program) may be executed by various processors other than the CPU. Examples of the processor in this case include a PLD (Programmable Logic Device) whose circuit configuration can be changed after manufacture, such as an FPGA (Field-Programmable Gate Array), and a dedicated electric circuit such as an ASIC (Application Specific Integrated Circuit) having a circuit configuration dedicated to executing a specific process. Alternatively, a GPGPU (General-purpose graphics processing unit) may be used as the processor. Also, each process may be executed by one of these various processors, or may be executed by a combination of two or more processors of the same type or different types (for example, a plurality of FPGAs, and a combination of a CPU and an FPGA, etc.). Further, the hardware structure of these various processors is, more specifically, an electric circuit combining circuit elements such as semiconductor elements.

[0069] Also, in each of the above embodiments, although an aspect in which the program is pre-stored (installed) in the storage has been described, it is not limited thereto. The program may be provided in a form stored in a non-transitory storage medium such as a CD-ROM (Compact Disk Read Only Memory), a DVD-ROM (Digital Versatile Disk Read Only Memory), and a USB (Universal Serial Bus) memory. Also, the program may be in a form downloaded from an external device via a network.

[0070] Further, each process of the present embodiment may be configured by a computer or a server including a general-purpose arithmetic processing unit and a storage device, etc., and each process may be executed by a program. This program is stored in a storage device and can be recorded on a recording medium such as a magnetic disk, an optical disk, or a semiconductor memory, or provided through a network. Of course, for any other components, they do not necessarily have to be realized by a single computer or server, and may be realized in a distributed manner by a plurality of computers connected by a network.

[0071] All documents, patent applications, and technical standards described in this specification are incorporated herein by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually indicated to be incorporated by reference.

[0072] (Supplementary Note) Hereinafter, aspects of the present disclosure will be appended.

[0073] (Supplementary Note 1) An information processing apparatus in an information processing system including a user terminal and an information processing apparatus, When presenting a plurality of questions used for a questionnaire for investigating the individuality of a user to the user, a control unit that causes a display unit of the user terminal to display a screen that enables answering the question with a continuous value; an answer acquisition unit that acquires a continuous value representing the answer input by the user operating the user terminal and stores the continuous value representing the answer in a storage unit; An information processing apparatus including the above. (Supplementary Note 2) When presenting a plurality of questions to the same user, the control unit presents the plurality of questions to the user in an order different from the order of the plurality of questions presented to the user during the previous questionnaire; The information processing apparatus according to claim 1. (Supplementary Note 3) When presenting a plurality of questions to the same user, Each time the questionnaire is conducted, the control unit randomly rearranges the order of a plurality of questions and presents them to the user. The information processing apparatus according to claim 1 or claim 2. (Supplementary Note 4) The control unit Displays, on the display unit of the user terminal, an appropriate question that is different from the questions of the questionnaire and represents a question for inspecting whether the user is in an appropriate state to receive the questionnaire. Based on the user's answer to the appropriate question, determines whether the user is in an appropriate state to receive the questionnaire. When the user is in an appropriate state to receive the questionnaire, displays the questions of the questionnaire on the display unit of the user terminal. The information processing apparatus according to claim 1 or claim 2. (Supplementary Note 5) The control unit Obtains the results of a plurality of questionnaires obtained from the same user. Based on the results of the plurality of questionnaires, generates information representing the change between the results of the questionnaires. Outputs the information representing the change. The information processing apparatus according to claim 2 or claim 3. (Supplementary Note 6) The control unit Based on the distribution representing the results of past questionnaires obtained from the same user, generates the information representing the change based on which range of the distribution the results of the questionnaire obtained from the same user at the current time correspond to. The information processing apparatus according to claim 5. (Supplementary Note 7) The control unit Based on a plurality of continuous values obtained when a plurality of questionnaires are conducted on the user, generates learning data that includes the plurality of continuous values and is for generating a machine learning model or a deep learning model. The information processing apparatus according to any one of Supplementary Notes 1 to 6. (Appendix 8) The control unit Based on the learning data, by training a machine learning model or a deep learning model, generates a trained model that reflects the individuality of the user. The information processing apparatus according to Appendix 7. (Appendix 9) When presenting a plurality of questions used in a questionnaire for investigating the individuality of a user to the user, displays on the display unit of the user terminal a screen that enables answering the questions with continuous values, obtains the continuous values representing the answers input by the user operating the user terminal, and stores the continuous values representing the answers in the storage unit. An information processing method executed by a computer. (Appendix 10) When presenting a plurality of questions used in a questionnaire for investigating the individuality of a user to the user, displays on the display unit of the user terminal a screen that enables answering the questions with continuous values, obtains the continuous values representing the answers input by the user operating the user terminal, and stores the continuous values representing the answers in the storage unit. An information processing program for causing a computer to execute the processing.

Description of Reference Numerals

[0074] 10 Information processing system 12 User terminal 14 Server 140 Control unit 142 Answer acquisition unit 144 Data storage unit 146 Output unit

Claims

1. An information processing apparatus in an information processing system including a user terminal and an information processing device, when presenting a plurality of questions used in a questionnaire for investigating user individuality to the user, a control unit that causes a display unit of the user terminal to display a screen that enables answering the question with a continuous value, an answer acquisition unit that acquires a continuous value representing the answer input by the user operating the user terminal and stores the continuous value representing the answer in a storage unit, comprising: the control unit, acquires results of a plurality of questionnaires obtained from the same user, generates information representing a change between the results of the plurality of questionnaires based on the results of the plurality of questionnaires, outputs the information representing the change, an information processing apparatus.

2. When presenting a plurality of questions to the same user, the control unit presents the plurality of questions to the user in an order different from the order of the plurality of questions presented to the user in the previous questionnaire. The information processing apparatus according to claim 1.

3. When presenting a plurality of questions to the same user, the control unit randomly rearranges the order of the plurality of questions every time the questionnaire is conducted and presents them to the user. The information processing apparatus according to claim 1 or claim 2.

4. the control unit, displays an appropriateness question representing a question different from the questionnaire question and for inspecting whether the user is in an appropriate state to receive the questionnaire on the display unit of the user terminal, determines whether the user is in an appropriate state to receive the questionnaire based on the user's answer to the appropriateness question, displays the questionnaire question on the display unit of the user terminal when the user is in an appropriate state to receive the questionnaire. The information processing apparatus according to claim 1 or claim 2.

5. the control unit, generates the information representing the change based on the range in which the result of the questionnaire currently obtained from the same user corresponds to the distribution based on the distribution representing the results of past questionnaires obtained from the same user. The information processing apparatus according to claim 1.

6. the control unit, Learning data that includes a plurality of the continuous values based on the plurality of the continuous values obtained when conducting a plurality of questionnaires to the user, and generates learning data for generating a machine learning model or a deep learning model. The information processing apparatus according to claim 1 or claim 2.

7. The control unit Based on the learning data, by training a machine learning model or a deep learning model, generates a trained model that reflects the individuality of the user. The information processing apparatus according to claim 6.

8. When presenting a plurality of questions used in a questionnaire for investigating the individuality of a user to the user, Displays on the display unit of the user terminal a screen that enables answering the questions with continuous values, Obtains the continuous value representing the answer input by the user operating the user terminal, and stores the continuous value representing the answer in the storage unit, Obtains the results of a plurality of questionnaires obtained from the same user, Based on the results of the plurality of questionnaires, generates information representing the change between the results of the questionnaires, Outputs the information representing the change. An information processing method in which a computer executes processing.

9. When presenting a plurality of questions used in a questionnaire for investigating the individuality of a user to the user, Displays on the display unit of the user terminal a screen that enables answering the questions with continuous values, Obtains the continuous value representing the answer input by the user operating the user terminal, and stores the continuous value representing the answer in the storage unit, Obtains the results of a plurality of questionnaires obtained from the same user, Based on the results of the plurality of questionnaires, generates information representing the change between the results of the questionnaires, Outputs the information representing the change. An information processing program for causing a computer to execute processing.

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