Youthfulness output device and youthfulness output method

Abstract

The present invention addresses the problem of outputting a youthfulness degree of a user. A youthfulness degree output device 1 comprises: a storage unit 10 that stores a scoring model to which the age of a user and a log frequency regarding a log associated with the actions of the user obtained by a portable terminal 2 carried by the user can be input to predict a youthfulness degree of the user; an acquisition unit 11 that acquires the age and log frequency of a subject user; and an output unit 13 that outputs a youthfulness degree of the subject user which is predicted by inputting the age and log frequency of the subject user acquired by the acquisition unit 11 into the scoring model stored in the storage unit10. The scoring model predicts the youthfulness degree on the basis of a cumulative distribution function for each age which is calculated by tallying the log frequency of each of a plurality of users according to age.

Description

[Technical Field]

[0001] One aspect of the present disclosure relates to a youthfulness output device and a youthfulness output method for outputting a youthfulness level of a user. [Background technology]

[0002] The following Patent Document 1 discloses an information processing device that calculates the biological age of each of a plurality of samples (subjects) by referencing a database that associates the actual age, the evaluation value of each item of biometric information that reflects lifestyle habits, and the actual value of each item of lifestyle habits, and then applies a biological age prediction model to the evaluation value of each sample. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-142021 Summary of the Invention [Problem to be solved by the invention]

[0004] Although the information processing device calculates the biological age of the sample, it cannot output, for example, the youthfulness of the sample. Therefore, it is desired to output the youthfulness of the user. [Means for solving the problem]

[0005] A youthfulness level output device according to one aspect of the present disclosure includes a storage unit that stores a prediction model that predicts a user's youthfulness level by inputting the user's age and a log frequency related to logs associated with the user's behavior obtained by a terminal carried by the user, an acquisition unit that acquires the age and log frequency of a target user, and an output unit that outputs the target user's youthfulness level predicted by inputting the target user's age and log frequency acquired by the acquisition unit into the prediction model stored in the storage unit, and the prediction model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of a plurality of users by age.

[0006] In this aspect, the age and log frequency of the target user are input into the prediction model, and the predicted youthfulness of the target user is output. In other words, the youthfulness of the user can be output. [Effects of the Invention]

[0007] According to one aspect of the present disclosure, it is possible to output the youthfulness level of a user. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating an example of a system configuration of a youth level output system including a youth level output device according to an embodiment. [Figure 2] FIG. 10 is a diagram illustrating an example of a log table. [Figure 3] FIG. 2 is a diagram illustrating an example of a functional configuration of a youth level output device according to an embodiment. [Figure 4] FIG. 10 is a diagram showing an example of a graph of the frequency of screen-on times. [Figure 5] FIG. 10 is a diagram showing an example of a probability density distribution of the number of times the screen is turned on; [Figure 6] FIG. 10 is a diagram showing an example of a cumulative distribution of the number of times the screen is turned on; [Figure 7] FIG. 10 is a diagram illustrating an example of a graph of the average frequency of unlock times. [Figure 8] FIG. 10 is a diagram illustrating an example of a probability density distribution of an average unlock time. [Figure 9] FIG. 10 is a diagram illustrating an example of a cumulative distribution of average unlock times. [Figure 10] FIG. 10 is a diagram illustrating an example of a graph of the frequency of steps. [Figure 11] FIG. 10 is a diagram illustrating an example of a probability density distribution of the number of steps. [Figure 12] FIG. 10 is a diagram illustrating an example of a cumulative distribution of the number of steps. [Figure 13] FIG. 10 is a diagram showing an example of a graph of the frequency of the area of ​​living space. [Figure 14] FIG. 10 is a diagram illustrating an example of a probability density distribution of the area of ​​a living space. [Figure 15] FIG. 10 is a diagram illustrating an example of a cumulative distribution of the area of ​​living spaces. [Figure 16] FIG. 10 is a diagram showing an example of a graph of the median of the number of times the screen is turned on by age group. [Figure 17] FIG. 17 is a diagram showing an example of interpretation of the graph shown in FIG. 16. [Figure 18] FIG. 10 is a diagram illustrating an example of interpretation of the cumulative distribution of the number of times the screen is turned on. [Figure 19] FIG. 10 is a diagram showing an example of a graph of median values ​​of average screen-on time by age group. [Figure 20] FIG. 20 is a diagram showing an example of interpretation of the graph shown in FIG. 19. [Figure 21] FIG. 10 is a diagram illustrating an example of interpretation of the cumulative distribution of the average screen-on time. [Figure 22] FIG. 10 is a diagram illustrating an example of the flow of a scoring model creation process. [Figure 23] 10 is a flowchart illustrating an example of a scoring model creation process executed by the youthfulness output device according to the embodiment. [Figure 24] FIG. 10 is a diagram illustrating an example of the flow of a score calculation process. [Figure 25] FIG. 10 is a diagram illustrating another example of the flow of the score calculation process. [Figure 26] 10 is a flowchart illustrating an example of a score calculation process executed by the youthfulness output device according to the embodiment. [Figure 27]10 is a flowchart illustrating an example of a youth level output process executed by the youth level output device according to the embodiment. [Figure 28] FIG. 2 is a diagram illustrating an example of a hardware configuration of a computer used in the youth level output device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate explanations will be omitted. Furthermore, the embodiments of the present disclosure in the following description are specific examples of the present invention, and the present invention is not limited to these embodiments unless otherwise specified to limit the present invention.

[0010] Fig. 1 is a diagram showing an example of the system configuration of a youthfulness level output system 3 including a youthfulness level output device 1 according to an embodiment. As shown in Fig. 1, the youthfulness level output system 3 includes the youthfulness level output device 1 and one or more mobile terminals 2. In the embodiment, the one or more mobile terminals 2 are collectively referred to as "mobile terminals 2" as appropriate. The youthfulness level output device 1 and each mobile terminal 2 are communicatively connected to each other via a network such as a mobile communication network, and can transmit and receive information to and from each other.

[0011] The youthfulness level output device 1 is a computer device that outputs the youthfulness level of a target user.

[0012] The target user is a target user. More specifically, the target user is a user (person) of the youthfulness degree output device 1 or a person who indirectly uses the youthfulness degree output device 1, who is the target of the youthfulness degree to be output.

[0013] The youthfulness degree is a degree (degree, level, dimension, stage, score) of youth. Youthfulness does not have to be based on, for example, actual age. The youthfulness degree may be, for example, a value indicating how young a user's behavior is (whether it can be said that the behavior is more likely to be performed by younger people). The youthfulness degree may be, for example, a value indicating the degree to which the user's behavior deviates from normally expected behavior or the good or bad state of the user's behavior. The youthfulness degree may be, for example, a real number between "0" and "1" inclusive, where a value closer to "0" indicates a less young (older) user and a value closer to "1" indicates a younger user. The youthfulness degree may be, for example, a probability between "0%" and "100%" inclusive, where a value closer to "0%" indicates a less young (older) user and a value closer to "100%" indicates a younger user. The youthfulness degree may also be a value evaluating a user's cognitive function. The youthfulness degree may also be a value indicating brain age, which is an index of brain function.

[0014] The youthfulness output device 1 will be described in detail later.

[0015] The mobile terminal 2 is a computer device such as a mobile communication terminal or a notebook computer that performs mobile communication. In the embodiment, the mobile terminal 2 is assumed to be a smartphone, but is not limited to this. The mobile terminal 2 is carried by a user.

[0016] The mobile terminal 2 may be equipped with a GPS (Global Positioning System) and may use the GPS to acquire current location information (latitude, longitude, etc.) of the mobile terminal 2. Note that the mobile terminal 2 may acquire current location information based on base station information without using the GPS.

[0017] The mobile terminal 2 may be equipped with various sensors and may use the various sensors to collect log frequencies (described below) related to (automatically obtainable) logs associated with the behavior (operations, movements, movements, acts, behaviors, actions) of the user carrying the mobile terminal 2. The mobile terminal 2 may collect log frequencies using functions of the OS (Operating System) installed on it. The mobile terminal 2 may have any app (application) installed on it and may use the app to collect log frequencies. The mobile terminal 2 may be equipped with other sensors and functions that are equipped on a typical smartphone and may use the sensors and functions to collect various log frequencies.

[0018] The log may be a log related to a user's operation of the mobile terminal 2. For example, the log may be a log related to screen on, screen off, screen on / off, screen unlock, app launch, app termination, app installation, or app usage. In this case, the log frequency may be the number of screen ons, the average screen on time, the number of screen offs, the average screen off time, the number of screen on / offs, the number of screen unlocks, the average screen unlock time, the average time required to unlock the screen, the number of app launches, the number of app terminations, the number of app categories (based on the user's app installation operation), the average app usage time, or the average time from screen unlocking to app launch.

[0019] The log frequency may be a frequency within a period (e.g., one day) set in advance in the youthfulness level output system 3. For example, the screen-on count may be the number of times the user turns on the screen of the mobile terminal 2 in one day (e.g., in units of times / day). The log frequency may be a value converted into a frequency. For example, a screen-on count of "1" to "5" may be defined as a frequency of "1," and a screen-on count of "6" to "10" may be defined as a frequency of "2." The frequency may be converted into a frequency appropriately within the mobile terminal 2, or may be converted into a frequency appropriately within the youthfulness level output device 1 (by each functional block). In the embodiment, the "log frequency" may be regarded as a converted value or a non-converted value, as appropriate.

[0020] FIG. 2 is a diagram showing an example of a log table. In the example table shown in FIG. 2, timestamps, which are dates and times, are associated with events, which are information indicating operations performed by a user at the dates and times. Logs such as those shown in FIG. 2 may be stored (accumulated) by each mobile device 2. The mobile device 2 may calculate a log frequency based on the logs. For example, as shown in FIG. 2, the time from the event "screen on" to the next event "screen off" is calculated as the screen on time. Alternatively, for example, the time from the event "screen on" to the next event "(screen) unlock" is calculated as the (screen) unlock time. Alternatively, for example, the time from the event "(screen) unlock" to the next event "app launch" may be calculated as the app launch time after (screen) unlock.

[0021] The log may be a log of the user's own actions. For example, the log may be a log of location information associated with the user's movements. In this case, the log frequency (which is also a feature obtained from the location information) may be the number of steps, the area of ​​the living area, the number of times the user went out, the average (travel) distance from home, the number of stay points, the tendency of the number of people at the stay points, the number of areas visited, and the sum of the number of other visitors in each area visited.

[0022] The mobile terminal 2 outputs (transmits) the user's age and the collected log frequency, which are stored (registered, set) in advance in the mobile terminal 2, to the youthfulness level output device 1 via a network. The log frequency to be output may be of one type or multiple types. For example, the mobile terminal 2 may output the user's age, the number of times the screen is turned on, the average screen unlock time, the number of steps taken, and the area of ​​the user's living area (a total of four types of log frequency) to the youthfulness level output device 1. The output timing may be periodic (for example, once a day) or may be any timing specified by the youthfulness level output device 1 or the mobile terminal 2. When outputting the age and log frequency to the youthfulness level output device 1, the mobile terminal 2 may output other arbitrary information together. The mobile terminal 2 may output the user's age and the log (instead of the log frequency) to the youthfulness level output device 1.

[0023] In the embodiment, "age" may be appropriately replaced with "age frequency." The age frequency is a frequency value, for example, where the 60s (60 to 69 years old) is defined as "6" and the 70s (70 to 79 years old) is defined as "7." Furthermore, age may be appropriately converted into age frequency within the mobile terminal 2, or age may be appropriately converted into age frequency within the youthfulness degree output device 1. In the embodiment, "age" may be appropriately regarded as a frequency value or as a non-frequency value.

[0024] Fig. 3 is a diagram showing an example of the functional configuration of the youthfulness level output device 1. As shown in Fig. 3, the youthfulness level output device 1 includes a storage unit 10 (storage unit), an acquisition unit 11 (acquisition unit), a creation unit 12 (creation unit), and an output unit 13 (output unit).

[0025] Each functional block of the youthfulness degree output device 1 is assumed to function within the youthfulness degree output device 1, but is not limited to this. For example, some of the functional blocks of the youthfulness degree output device 1 may function in a computer device different from the youthfulness degree output device 1 and connected to the youthfulness degree output device 1 through a network, while appropriately transmitting and receiving information to and from the youthfulness degree output device 1. Furthermore, some functional blocks of the youthfulness degree output device 1 may be omitted, multiple functional blocks may be integrated into one functional block, or one functional block may be separated into multiple functional blocks.

[0026] Hereinafter, each function of the youthfulness output device 1 shown in FIG. 3 will be described.

[0027] The storage unit 10 stores any information used for calculations in the youthfulness level output device 1 and the results of the calculations in the youthfulness level output device 1. The information stored by the storage unit 10 may be referred to by each function of the youthfulness level output device 1 as appropriate.

[0028] The storage unit 10 stores a scoring model (prediction model) (described later) that predicts the youthfulness of a user by inputting the user's age and a log frequency related to a log associated with the user's behavior obtained by the mobile terminal 2 carried by the user. The storage unit 10 may store a scoring model created by the creation unit 12 (described later). The storage unit 10 may store scoring models corresponding to multiple types of log frequencies.

[0029] The acquisition unit 11 acquires the target user's age and (the target user's) log frequency. The target user may be set in advance in the youthfulness level output system 3, or may be designated by a user (including the target user himself / herself) or an administrator of the youthfulness level output device 1. The acquisition unit 11 may acquire the target user's age and multiple types of log frequency (of the target user). The acquisition unit 11 may acquire the target user's age and (one or more types of) log frequency from the target user's mobile terminal 2 via a network, or may acquire them from the storage unit 10 (where they are stored in advance). The acquisition unit 11 may cause the storage unit 10 to store the acquired target user's age and (one or more types of) log frequency, or may output them to another functional block.

[0030] The acquisition unit 11 may acquire the ages and (one or more types of) log frequencies (of the users) of any or all users (to create or update a scoring model). The acquisition unit 11 may store the acquired target user's ages and (one or more types of) log frequencies in the storage unit 10, or may output them to another functional block.

[0031] The acquiring unit 11 may acquire a log instead of a log frequency. In this case, the youthfulness output device 1 (each functional block) may calculate a log frequency based on the acquired log, and the calculated log frequency may be used in processing within the youthfulness output device 1.

[0032] Creation unit 12 creates a scoring model. Creation unit 12 may store the created scoring model in storage unit 10, or may output the created scoring model to another functional block.

[0033] As described above, the scoring model predicts the youthfulness of a user by inputting the user's age and the log frequency related to the log associated with the user's behavior obtained by the mobile terminal 2 carried by the user. The scoring model may predict the youthfulness based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of multiple users by age. The scoring model may predict the youthfulness by applying the input log frequency to the cumulative distribution function for the input age among the cumulative distribution functions for each age.

[0034] The cumulative distribution function may be calculated (by the creation unit 12) based on the correlation between age and log frequency. When there is a negative correlation between age and log frequency, the cumulative distribution function may be calculated by accumulating the probability for each log frequency from the lower limit to the upper limit of the log frequency (by the creation unit 12), and when there is a positive correlation between age and log frequency, the cumulative distribution function may be calculated by accumulating the probability for each log frequency from the upper limit to the lower limit of the log frequency (by the creation unit 12). When there is a negative correlation between age and log frequency, the scoring model may predict, as the degree of youth, a value based on the probability that the log frequency is equal to or less than an input log frequency, and when there is a positive correlation between age and log frequency, the scoring model may predict, as the degree of youth, a value based on the probability that the log frequency is equal to or greater than an input log frequency.

[0035] The details of the scoring model and the method of creation by the creation unit 12 will be specifically explained below.

[0036] First, the probability density distribution (probability density distribution function) and cumulative distribution (cumulative distribution function) will be explained.

[0037] FIG. 4 is a diagram showing an example of a graph of the frequency of screen-on counts. The graph shown in FIG. 4 is calculated by aggregating the screen-on counts (log frequency) of each user of a predetermined age (e.g., 20 years old) among multiple users. The horizontal axis of the graph is the screen-on count. The vertical axis of the graph is the frequency, which is the number of data points within the range of the screen-on count (the number of users corresponding to the screen-on count). For example, the graph shown in FIG. 4 shows that the frequency of the screen-on counts of a user of a predetermined age (e.g., 20 years old) whose screen-on count within a preset period (e.g., one day) was between "11" and "15" is "10."

[0038] FIG. 5 is a diagram showing an example of a probability density distribution of the number of times the screen is turned on. The probability density distribution shown in FIG. 5 is a probabilistic version of the graph shown in FIG. 4. The probability density distribution shows a probability distribution for each log frequency (frequency). In the probability density distribution, the sum of each log frequency (frequency) is "1". The creation unit 12 creates a probability density distribution for each attribute such as age. The probability density distribution is expressed as P(X) (X is the log frequency).

[0039] FIG. 6 is a diagram showing an example of the cumulative distribution of the number of times the screen is turned on. The cumulative distribution shown in FIG. 6 is obtained by stacking the probability density distribution shown in FIG. 5. The cumulative distribution is obtained by unidirectionally accumulating the probability for each log frequency (frequency). A cumulative distribution is generally a function that represents the probability that a random variable will be equal to or less than a certain value. The creation unit 12 creates a cumulative distribution for each attribute such as age. The cumulative distribution is expressed by the following formula.

number

[0040] 4 to 6 are diagrams relating to the number of times the screen is turned on, but similar diagrams relating to the average unlock time are shown in Figs. 7 to 9, similar diagrams relating to the number of steps are shown in Figs. 10 to 12, and similar diagrams relating to the area of ​​the living space are shown in Figs. 13 to 15. Since these diagrams are similar, detailed explanations will be omitted below.

[0041] Fig. 7 is a diagram showing an example of a graph of the average frequency of unlocking times, Fig. 8 is a diagram showing an example of a probability density distribution of average unlocking times, and Fig. 9 is a diagram showing an example of a cumulative distribution of average unlocking times.

[0042] Fig. 10 is a diagram showing an example of a graph of the frequency of the number of steps, Fig. 11 is a diagram showing an example of a probability density distribution of the number of steps, and Fig. 12 is a diagram showing an example of a cumulative distribution of the number of steps.

[0043] Fig. 13 is a diagram showing an example of a graph of the frequency of the area of ​​living spheres, Fig. 14 is a diagram showing an example of a probability density distribution of the area of ​​living spheres, and Fig. 15 is a diagram showing an example of a cumulative distribution of the area of ​​living spheres.

[0044] Next, the relationship between the overall trend and cumulative distribution will be explained.

[0045] When there is a negative correlation with aging as an overall trend, the creation unit 12 creates a scoring model such that the larger the value (frequency), the younger the youthfulness (younger usage). FIG. 16 is a diagram showing an example of a graph of the median of the screen-on count by age. As shown in FIG. 16, the screen-on count, which is a log frequency, has a negative correlation with aging as an overall trend. In the youthfulness level output device 1, the statistical trend of a decrease in the count with aging is interpreted as meaning that a higher count is better. FIG. 17 is a diagram showing an example of how to interpret the graph shown in FIG. 16. As shown in FIG. 17, the smaller the screen-on count, which is the vertical axis of the graph, the worse it is interpreted, and the larger it is interpreted as better. FIG. 18 is a diagram showing an example of how to interpret the cumulative distribution of the screen-on count. As shown in FIG. 18, the smaller the screen-on count, the worse it is interpreted, and the larger it is interpreted as better. In this case, the creation unit 12 creates a scoring model based on, for example, the following formula:

number

[0046] When there is a positive correlation with aging as an overall trend, the creation unit 12 creates a scoring model such that the smaller the value (frequency), the younger the youthfulness (younger usage). FIG. 19 is a diagram showing an example of a graph of the median of the average screen-on time by age. As shown in FIG. 19, the average screen-on time, which is a log frequency, has a positive correlation with aging as an overall trend. In the youthfulness level output device 1, the statistical tendency for the average time to increase with aging is interpreted as meaning that a shorter average time is better. FIG. 20 is a diagram showing an example of how to interpret the graph shown in FIG. 19. As shown in FIG. 20, the average screen-on time, which is the vertical axis of the graph, is interpreted as being worse, and the smaller the average screen-on time, the better. FIG. 21 is a diagram showing an example of how to interpret the cumulative distribution of the average screen-on time. In FIG. 21, the horizontal axis is reversed, and the stacking direction is reversed. As shown in FIG. 21, the larger the average screen-on time, the worse it is interpreted, and the smaller the average screen-on time, the better it is interpreted. In this case, the creation unit 12 creates a scoring model based on, for example, the following equation:

number

[0047] As described above, when creating a scoring model by the creation unit 12, instead of simply using cumulative distribution, different formulas are used depending on the relationship between log frequency (data) and age.

[0048] An example of how to interpret the score s calculated from the cumulative distribution will be explained below. As mentioned above, the score s calculated based on the correlation between age and log frequency can be interpreted as being in the top "(1-s)%" (also known as percentile score) compared to users of the same age (or generation). Another example of how to interpret it is that it is "(s*100) points" on a scale of 100 points.

[0049] Next, the scoring model creation process will be described.

[0050] FIG. 22 is a diagram showing an example of the flow of a scoring model creation process. First, the acquisition unit 11 acquires a large amount of input data (log frequencies, such as screen on / off history) and age data (the ages of users who are the subject of the input data). Next, the creation unit 12 aggregates the log frequencies for each age based on the acquired large amount of input data and age data, and creates a probability density distribution P(X) (not shown) for each age. Note that in the process of creating P(X), both X and Y may be converted into frequencies (for example, X: screen on counts of 1 to 5 may be defined as "1," and 6 to 10 may be defined as "2," etc.; Y: ages in their 60s may be defined as "6," and ages in their 70s may be defined as "7," etc.). Next, the creation unit 12 creates a cumulative distribution F(X) for each age. Next, the creation unit 12 compiles all of the cumulative distributions for each age into a scoring model F(X, Y). When summarizing, the creation unit 12 defines the model when a certain age Y1 is given as F(X|Y1), and the integrated model F(X, Y) = {F(X|Y1), F(X|Y2), F(X|Y3), ...}, and F(X, Y) is the model F(X|Y i ) is selected. i Given the given model F(X|Y i ) are collected together to form F(X,Y). This creation process is applied to each input data.

[0051] 23 is a flowchart showing an example of a scoring model creation process executed by the youthfulness degree output device 1. First, the acquisition unit 11 reads the log (step S1). Next, the creation unit 12 aggregates the feature amounts (log or log frequency) and reads the age (step S2). Next, the creation unit 12 converts the feature amounts and age into frequencies (step S3). Next, the creation unit 12 creates a probability density distribution for each age (step S4). Next, the creation unit 12 determines whether the correlation between the age and the feature amount (log frequency) is positive or negative (step S5).

[0052] Alternatively, the Pearson correlation coefficient may be used to determine whether the correlation is positive or negative, for example, using the correlation coefficient r = (covariance of variable X (log frequency) and variable Y (age)) / standard deviation of variable X * standard deviation of variable Y).

[0053] If the result is determined to be positive in S5 (S5: YES), the creation unit 12 creates a cumulative distribution (positive correlation) for each age (step S6). On the other hand, if the result is determined to be negative in S5 (S5: NO), the creation unit 12 creates a cumulative distribution (negative correlation) for each age (step S7). Following S6 or S7, the creation unit 12 integrates the cumulative distributions for each age to obtain a scoring model (step S8). This scoring model creation process is applied to all log types, and scoring models for all log types are constructed.

[0054] Supplementally, when the correlation coefficient is positive, Y increases as X increases, so in the scoring model, it is better for the age Y to be smaller. Therefore, the creation unit 12 creates a cumulative distribution from the upper limit to the lower limit of the feature so that a higher score is given as X decreases. On the other hand, when the correlation coefficient is negative, Y decreases as X increases, so the creation unit 12 creates a cumulative distribution from the lower limit to the upper limit of the feature so that a higher score is given as X increases.

[0055] The output unit 13 outputs the youthfulness degree of the target user predicted by inputting the age and log frequency of the target user acquired by the acquisition unit 11 (or stored by the storage unit 10) into the scoring model stored by the storage unit 10. The output by the output unit 13 may be displayed on a display which is an output device 1006 (described later), or may be transmitted to another device via a communication device 1004 (described later). The output unit 13 may cause the storage unit 10 to store the youthfulness degree.

[0056] FIG. 24 is a diagram showing an example of the flow of the score calculation process. First, the acquisition unit 11 acquires input data X' (log frequency, such as screen on / off history) and age data Y' (the age of the user to whom the input data X' applies). Next, the output unit 13 or the youthfulness degree output device 1 converts the input data X' into a frequency to obtain input data X, and converts the age data Y' into a frequency to obtain age frequency Y. Next, the output unit 13 inputs the input data X and age frequency Y into the scoring model F(X, Y) and outputs the score s. This calculation process flow is applied to each piece of input data.

[0057] The output unit 13 may output the youthfulness degree of the target user for each type predicted by inputting the age of the target user and each of the multiple types of log frequencies acquired by the acquisition unit 11 into a scoring model corresponding to the log frequency of the same type stored by the storage unit 10. The output unit 13 may output a degree obtained by integrating the youthfulness degrees of the target user for each type. The output unit 13 may output a degree obtained by integrating the youthfulness degrees of the target user for each type for similar types.

[0058] FIG. 25 is a diagram showing another example of the flow of the score calculation process. First, the acquisition unit 11 acquires the age Y, the number of times the screen is turned on and off X1, the time of unlocking X2, the number of steps taken per day X3, and the living range X4 calculated from the location information, .... X1, X2, X3, X4, ... may be converted into a degree inside the youthfulness level output device 1 or the mobile terminal 2 and input. Next, the output unit 13 calculates the score using the scoring model F i Applying the logarithm to each type of score s iand output it. Specifically, it is output as s1=F1(X1,Y), s2=F2(X2,Y), s3=F3(X3,Y), s4=F4(X4,Y), .... Note that s1, s2, s3, s4, ... may be cognitive function scores indicating cognitive functions. The output unit 13 may calculate and output a total score (a degree of integration of youthfulness degrees) by integrating s1, s2, s3, s4, .... The total score is indicated by, for example, s=average(s1, s2, ...) (average is an average value). Furthermore, the output unit 13 may aggregate each score for each item (similar type) and output (visualize) it. For example, the score s for items related to user operations may be calculated as follows: 操作 =average(s1,s2), and the score of the item related to the user's activity is s 活動 =average(s3,s4) can also be used.

[0059] FIG. 26 is a flowchart showing an example of a score calculation process executed by the youthfulness output device 1. First, the acquisition unit 11 reads the log of the target user (step S10). Next, the output unit 13 aggregates the feature amounts (log or log frequency) of the target user and reads the target user's age (step S11). Next, the output unit 13 converts the feature amounts and age of the target user into frequencies (step S12). Next, the output unit 13 inputs the feature amounts and age frequency-converted in S12 into a scoring model, thereby acquiring and outputting a score (youthfulness degree) (step S13). Next, the output unit 13 determines whether all log types have been processed (step S14). If it is determined in S14 that they have not been processed (S14: NO), the process returns to S10. On the other hand, if it is determined in S14 that they have been processed (S14: YES), the output unit 13 acquires and outputs an integrated score or an item-specific score (step S15).

[0060] Next, an example of youthfulness level output processing (youthfulness level output method) executed by the youthfulness level output device 1 will be described with reference to Fig. 27. Fig. 27 is a flowchart showing an example of youthfulness level output processing executed by the youthfulness level output device 1. First, the acquisition unit 11 acquires the age and log frequency of the target user (step S20, acquisition step). Next, the output unit 13 outputs the youthfulness level (score) of the target user predicted by inputting the age and log frequency of the target user acquired in S20 into a scoring model stored by the storage unit 10 (step S21, output step).

[0061] Next, the effects of the youth level output device 1 according to the embodiment will be described.

[0062] The youthfulness level output device 1 includes a storage unit 10 that stores a scoring model (prediction model) that predicts a user's youthfulness level by inputting the user's age and a log frequency related to the log associated with the user's behavior obtained by a mobile terminal 2 (terminal) carried by the user; an acquisition unit 11 that acquires the age and log frequency of a target user; and an output unit 13 that outputs the target user's youthfulness level predicted by inputting the target user's age and log frequency acquired by acquisition unit 11 into the scoring model stored in storage unit 10. The scoring model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of multiple users by age. With this configuration, the target user's age and log frequency are input into the prediction model, and the predicted youthfulness level of the target user is output. In other words, the user's youthfulness level can be output.

[0063] Furthermore, in the youthfulness degree output device 1, the scoring model may predict the youthfulness degree by applying the input logarithm to the cumulative distribution function of the input age among the cumulative distribution functions for each age. With this configuration, a cumulative distribution function appropriate for the age of the target user is used, so that a more accurate youthfulness degree can be output.

[0064] Furthermore, in the youthfulness degree output device 1, the cumulative distribution function may be calculated based on the correlation between age and logarithm of frequency. With this configuration, it is possible to output a more accurate youthfulness degree based on the correlation between age and logarithm of frequency.

[0065] Furthermore, in the youthfulness degree output device 1, the cumulative distribution function may be calculated by accumulating the probability for each logarithm from the lower limit to the upper limit of the logarithm when there is a negative correlation between age and logarithm, and may be calculated by accumulating the probability for each logarithm from the upper limit to the lower limit of the logarithm when there is a positive correlation between age and logarithm. With this configuration, a more accurate cumulative distribution function based on the negative or positive correlation between age and logarithm is used, and therefore a more accurate youthfulness degree can be output.

[0066] Furthermore, in the youthfulness degree output device 1, the scoring model may predict a value based on the probability that the log frequency is equal to or less than the input log frequency as the youthfulness degree when there is a negative correlation between age and log frequency, and may predict a value based on the probability that the log frequency is equal to or greater than the input log frequency as the youthfulness degree when there is a positive correlation between age and log frequency. With this configuration, a more accurate value based on the negative correlation or positive correlation between age and log frequency is predicted as the youthfulness degree, and therefore a more accurate youthfulness degree can be output.

[0067] Moreover, the youthfulness degree output device 1 may further include a creation unit 12 that creates a scoring model, and the storage unit 10 may store the scoring model created by the creation unit 12. With this configuration, the youthfulness degree can be predicted using the created scoring model.

[0068] Furthermore, in the youthfulness degree output device 1, the storage unit 10 may store scoring models corresponding to each of the multiple types of log frequencies, the acquisition unit 11 may acquire the target user's age and the multiple types of log frequencies, and the output unit 13 may output the target user's youthfulness degree for each type predicted by inputting the target user's age and each of the multiple types of log frequencies acquired by the acquisition unit 11 into the scoring model corresponding to the same type of log frequency stored by the storage unit 10. With this configuration, a more accurate youthfulness degree can be output based on the multiple types of log frequencies.

[0069] Furthermore, in the youthfulness output device 1, the output unit 13 may output an integrated degree of youthfulness of the target user for each type. With this configuration, the youthfulness degree can be easily grasped.

[0070] Furthermore, in the youthfulness level output device 1, the output unit 13 may output a degree obtained by integrating the youthfulness levels of the target user for each type into similar types. With this configuration, it is possible to grasp the youthfulness levels for each similar type.

[0071] According to the youthfulness degree output device 1, it is possible to output a youthfulness degree (perform scoring) using multiple automatically obtainable logs (or log frequencies). Furthermore, in the youthfulness degree output device 1, by using age as an input parameter, it is possible to more accurately predict a youthfulness degree (improve the accuracy of scoring).

[0072] The youthfulness output device 1 of the present disclosure may have the following configuration.

[0073] [1] a storage unit that stores a prediction model that predicts a user's youthfulness level by inputting the user's age and a log frequency associated with the user's behavior obtained by a terminal carried by the user; an acquisition unit that acquires the age and the log frequency of the target user; an output unit that outputs a youthfulness degree of the target user predicted by inputting the age of the target user and the log frequency acquired by the acquisition unit into the prediction model stored in the storage unit; and Equipped with the prediction model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of a plurality of users by age; Youth level output device.

[0074] [2] the prediction model predicts a youthfulness degree by applying the input log frequency to the cumulative distribution function of the input age among the cumulative distribution functions for each age. [1] A youthfulness level output device according to the present invention.

[0075] [3] The cumulative distribution function is calculated based on the correlation between age and the log frequency. [1] or [2]. A youthfulness level output device.

[0076] [4] The cumulative distribution function is When there is a negative correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the lower limit to the upper limit of the logarithm, When there is a positive correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the upper limit to the lower limit of the logarithm. The youthfulness level output device according to any one of [1] to [3].

[0077] [5] The predictive model is When there is a negative correlation between age and the logarithm, predicting a value based on the probability that the logarithm is equal to or less than the input logarithm as a youthfulness degree; When there is a positive correlation between age and the log frequency, a value based on the probability that the log frequency is equal to or greater than the input log frequency is predicted as the youthfulness degree. The youthfulness level output device according to any one of [1] to [4].

[0078] [6] further comprising a creation unit that creates the prediction model, The storage unit stores the prediction model created by the creation unit. The youthfulness output device according to any one of [1] to [5].

[0079] [7] the storage unit stores the prediction model corresponding to each of a plurality of types of the log frequency; the acquisition unit acquires the age of the target user and the plurality of types of log frequencies; the output unit inputs the age of the target user and each of the plurality of types of log frequencies acquired by the acquisition unit into the prediction model corresponding to the same type of log frequency stored by the storage unit, and outputs the youthfulness degree of the target user for each type predicted. The youthfulness level output device according to any one of [1] to [6].

[0080] [8] the output unit outputs an integrated degree of youthfulness of the target user for each of the types. [7] A youthfulness level output device according to the present invention.

[0081] [9] The output unit outputs a degree obtained by integrating the youthfulness degrees of the target user for each of the types into similar types. [7] or [8]. A youthfulness level output device.

[0082]

[10] A youthfulness level output method executed by a youthfulness level output device including a storage unit that stores a prediction model that predicts a youthfulness level of a user by inputting the age of the user and a log frequency related to a log associated with the user's behavior obtained by a terminal carried by the user, the method comprising: an acquisition step of acquiring the target user's age and the log frequency; an output step of inputting the age of the target user and the log frequency acquired in the acquisition step into the prediction model stored by the storage unit, and outputting the youthfulness degree of the target user predicted by the prediction model; Including, the prediction model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of a plurality of users by age; Youth level output method.

[0083]

[11] the prediction model predicts a youthfulness degree by applying the input log frequency to the cumulative distribution function of the input age among the cumulative distribution functions for each age.

[10] The youthfulness level output method described in

[10] .

[0084]

[12] The cumulative distribution function is calculated based on the correlation between age and the log frequency.

[10] or

[11] . A youthfulness level output method.

[0085]

[13] The cumulative distribution function is When there is a negative correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the lower limit to the upper limit of the logarithm, When there is a positive correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the upper limit to the lower limit of the logarithm. The youthfulness degree output method according to any one of

[10] to

[12] .

[0086]

[14] The predictive model is When there is a negative correlation between age and the logarithm, predicting a value based on the probability that the logarithm is equal to or less than the input logarithm as a youthfulness degree; When there is a positive correlation between age and the log frequency, a value based on the probability that the log frequency is equal to or greater than the input log frequency is predicted as the youthfulness degree. The youthfulness degree output method according to any one of

[10] to

[13] .

[0087]

[15] further comprising a creating step of creating the predictive model; The storage unit stores the prediction model created in the creating step. The youthfulness degree output method according to any one of

[10] to

[14] .

[0088]

[16] the storage unit stores the prediction model corresponding to each of a plurality of types of the log frequency; the acquiring step acquires the target user's age and the plurality of types of log frequencies; The output step outputs the degree of youth of the target user for each type predicted by inputting the age of the target user and each of the plurality of types of log frequencies acquired in the acquisition step into the prediction model corresponding to the log frequencies of the same type stored by the storage unit. The youthfulness degree output method according to any one of

[10] to

[15] .

[0089]

[17] The output step outputs an integrated degree of youthfulness of the target user for each of the types.

[16] The youthfulness level output method described in

[16] .

[0090]

[18] The output step outputs a degree of youthfulness of the target user for each of the categories, which is integrated for each similar category.

[16] or

[17] . A youthfulness level output method.

[0091] The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wires, wirelessly, etc.) and these multiple devices. The functional block may also be realized by combining the single device or multiple devices with software.

[0092] Functions include, but are not limited to, judgment, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, consideration, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocation, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

[0093] For example, the youthfulness output device 1 according to an embodiment of the present disclosure may function as a computer that performs processing of the youthfulness output method of the present disclosure. Fig. 28 is a diagram showing an example of the hardware configuration of the youthfulness output device 1 according to an embodiment of the present disclosure. The youthfulness output device 1 described above may be physically configured as a computer including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0094] In the following description, the term "apparatus" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the youthfulness output device 1 may be configured to include one or more of the devices shown in the drawings, or may be configured to exclude some of the devices.

[0095] Each function of the youthfulness output device 1 is realized by loading specified software (programs) onto hardware such as the processor 1001 and memory 1002, causing the processor 1001 to perform calculations, control communication via the communication device 1004, and control at least one of reading and writing data in the memory 1002 and storage 1003.

[0096] The processor 1001 controls the entire computer by running, for example, an operating system. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. For example, the above-mentioned acquisition unit 11, creation unit 12, output unit 13, etc. may be realized by the processor 1001.

[0097] The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with the programs. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. For example, the acquisition unit 11, creation unit 12, and output unit 13 may be implemented by a control program stored in the memory 1002 and running on the processor 1001, and similar implementations may be made for other functional blocks. While the above-described various processes have been described as being executed by one processor 1001, they may also be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The programs may also be transmitted from a network via a telecommunications line.

[0098] The memory 1002 is a computer-readable recording medium and may be configured, for example, by at least one of a read-only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a random access memory (RAM), etc. The memory 1002 may also be called a register, a cache, a main memory (primary storage device), etc. The memory 1002 can store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to an embodiment of the present disclosure.

[0099] Storage 1003 is a computer-readable recording medium, and may be composed of at least one of, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray disc), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy disk, a magnetic strip, etc. Storage 1003 may also be referred to as an auxiliary storage device. The above-mentioned storage medium may be, for example, a database, a server, or other appropriate medium including at least one of memory 1002 and storage 1003.

[0100] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, or a communication module. The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, the above-mentioned acquisition unit 11, creation unit 12, output unit 13, etc. may be realized by the communication device 1004.

[0101] The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may be integrated into one device (for example, a touch panel).

[0102] Furthermore, each device, such as the processor 1001 and the memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

[0103] Furthermore, the youthfulness output device 1 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized by the hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0104] Notification of information is not limited to the aspects / embodiments described in this disclosure, and may be performed using other methods.

[0105] Each aspect / embodiment described in the present disclosure may be applied to at least one of systems using LTE (Long Term Evolution), LTE-Advanced (LTE-A), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), FRA (Future Radio Access), NR (New Radio), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark), IEEE 802.20, UWB (Ultra-Wideband), Bluetooth (registered trademark), or other appropriate systems, and next-generation systems extended based on these. Furthermore, a combination of multiple systems (e.g., a combination of at least one of LTE and LTE-A with 5G, etc.) may also be applied.

[0106] The order of the procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless it is consistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0107] Input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be sent to another device.

[0108] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0109] Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, notification of predetermined information (e.g., notification that "X is true") is not limited to being done explicitly, but may be done implicitly (e.g., by not notifying the predetermined information).

[0110] Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the present disclosure as defined by the claims. Therefore, the description of the present disclosure is intended to be illustrative and does not have any limiting meaning on the present disclosure.

[0111] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0112] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then these wired and / or wireless technologies are included within the definition of transmission media.

[0113] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0114] In addition, terms explained in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings.

[0115] As used in this disclosure, the terms "system" and "network" are used interchangeably.

[0116] Furthermore, the information, parameters, etc. described in this disclosure may be expressed using absolute values, may be expressed using relative values ​​from a predetermined value, or may be expressed using other corresponding information.

[0117] The names used for the above parameters are not limiting in any way, and furthermore, the mathematical formulas etc. using these parameters may differ from those explicitly disclosed in this disclosure.

[0118] As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching in a table, database, or other data structure), ascertaining, and the like. "Determining" and "determining" may also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and the like. Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0119] The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and / or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0120] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0121] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

[0122] The "means" in the configuration of each of the above devices may be replaced with "part," "circuit," "device," etc.

[0123] When used in this disclosure, the terms "include," "including," and variations thereof are intended to be inclusive, similar to the term "comprising." Furthermore, when used in this disclosure, the term "or" is not intended to be an exclusive or.

[0124] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0125] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different." [Explanation of symbols]

[0126] 1...youth degree output device, 2...mobile terminal, 3...youth degree output system, 10...storage unit, 11...acquisition unit, 12...creation unit, 13...output unit, 1001...processor, 1002...memory, 1003...storage, 1004...communication device, 1005...input device, 1006...output device, 1007...bus.

Claims

1. a storage unit that stores a prediction model that predicts a user's youthfulness level by inputting the user's age and a log frequency associated with the user's behavior obtained by a terminal carried by the user; an acquisition unit that acquires the age and the log frequency of the target user; an output unit that outputs a youthfulness degree of the target user predicted by inputting the age of the target user and the log frequency acquired by the acquisition unit into the prediction model stored in the storage unit; and Equipped with the prediction model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of a plurality of users by age; Youth level output device.

2. the prediction model predicts a youthfulness degree by applying the input log frequency to the cumulative distribution function of the input age among the cumulative distribution functions for each age. The youthfulness output device according to claim 1 .

3. The cumulative distribution function is calculated based on the correlation between age and the log frequency. The youthfulness output device according to claim 1 .

4. The cumulative distribution function is When there is a negative correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the lower limit to the upper limit of the logarithm, When there is a positive correlation between age and the logarithm, the probability for each logarithm is calculated by accumulating the probability from the upper limit to the lower limit of the logarithm. The youthfulness output device according to claim 1 .

5. The predictive model is When there is a negative correlation between age and the logarithm, predicting a value based on the probability that the logarithm is equal to or less than the input logarithm as a youthfulness degree; When there is a positive correlation between age and the log frequency, a value based on the probability that the log frequency is equal to or greater than the input log frequency is predicted as the youthfulness degree. The youthfulness output device according to claim 1 .

6. further comprising a creation unit that creates the prediction model, The storage unit stores the prediction model created by the creation unit. The youthfulness output device according to claim 1 .

7. the storage unit stores the prediction model corresponding to each of a plurality of types of the log frequency; the acquisition unit acquires the age of the target user and the plurality of types of log frequencies; the output unit inputs the age of the target user and each of the plurality of types of log frequencies acquired by the acquisition unit into the prediction model corresponding to the same type of log frequency stored by the storage unit, and outputs the youthfulness degree of the target user for each type predicted. The youthfulness output device according to claim 1 .

8. the output unit outputs an integrated degree of youthfulness of the target user for each of the types. The youthfulness level output device according to claim 7.

9. The output unit outputs a degree obtained by integrating the youthfulness degrees of the target user for each of the types into similar types. The youthfulness level output device according to claim 7.

10. A youthfulness level output method executed by a youthfulness level output device including a storage unit that stores a prediction model that predicts a youthfulness level of a user by inputting the age of the user and a log frequency related to a log associated with the user's behavior obtained by a terminal carried by the user, the method comprising: an acquisition step of acquiring the target user's age and the log frequency; an output step of inputting the age of the target user and the log frequency acquired in the acquisition step into the prediction model stored by the storage unit, and outputting the youthfulness degree of the target user predicted by the prediction model; Including, the prediction model predicts the youthfulness level based on a cumulative distribution function for each age calculated by aggregating the log frequency of each of a plurality of users by age; Youth level output method.

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