JP7250668B2 - Lifestyle improvement program, lifestyle improvement processing device, and lifestyle improvement system - Google Patents

Description

The present invention relates to a program, a processing device, and a system, more specifically, a lifestyle improvement program, a lifestyle improvement processing device, and a lifestyle improvement system.

In Japan, people are encouraged to improve their lifestyles under the Health Promotion Law. There are many factors that influence lifestyle habits, and examples include eating habits, exercise, smoking, drinking, and stress. Improving your lifestyle will keep you healthy.

The application of game elements (so-called gamification) is adopted for improving lifestyle habits. Examples of game elements are challenges, rewards, interactions, and the like. What is disclosed in Patent Document 1 is a health management system. Specifically, what is input to the system is a target amount of exercise and an actual amount of exercise. The output of the system is the specific movement and its timing. A factor that determines such an output content is a sufficiency rate (actual exercise amount/target exercise amount). By sharing this output content, a third party (for example, a trainer, a friend, etc.) can support the player. By applying game elements in this way, people continue to exercise.

JP 2018-45393 A

The problem to be solved by the present invention is to maintain improvement in lifestyle habits. In reality, the improvement of lifestyle habits is not necessarily maintained even if game elements are introduced. In particular, if the results of the game are visible, the user loses awareness of improving their lifestyle habits.

Based on the above, what the inventors of the present application have found through intensive studies is to maintain the user's awareness of lifestyle improvement by making it difficult to predict the outcome of the game. The definition of the present invention from such a point of view is as follows.

A process executed by a computer by a program is at least an operation. That is, what the biometric values are processed into is at least a score. The score reflects the first improved value and the second improved value of the biometric value. The time when the first improvement value is reflected is before the predetermined time of the biometric measurement period. On the other hand, the time when the second improvement value is reflected is the predetermined time or after.

It is at least a processing unit that constitutes the processing device. What is processed by the processing unit is the biometric value, and at least a score is obtained thereby. The score reflects the first improved value and the second improved value of the biometric value. The score reflects the first improved value and the second improved value of the biometric value. The time when the first improvement value is reflected is before the predetermined time of the biometric measurement period. On the other hand, the time when the second improvement value is reflected is the predetermined time or after.

A system is composed of at least a measuring device, a processing device, and a terminal device. A part or the whole of a living body is measured by the measuring device, and a biological measurement value is obtained thereby. It is the biometric that is processed by the processor, and the result is at least a score. The score is output from the terminal device. The score reflects the first improved value and the second improved value of the biometric value. The time when the first improvement value is reflected is before the predetermined time of the biometric measurement period. On the other hand, the time when the second improvement value is reflected is the predetermined time or after.

What the present invention enables is to maintain an improved lifestyle. In other words, by making the outcome of the game difficult to predict, the user's interest in improving their lifestyle habits is maintained.

What is shown here is a use case of the system (this system) according to this embodiment. Shown here is the configuration of this system. Shown here is the hardware configuration of the computer. Shown here is the composition of the initial screen. What is shown here is the structure of the database, specifically, (a) individual performance database, (b) biometric value history database, (c) improvement activity value history database, and (d) team performance database. . The flow of database update processing is shown here. Shown here is the flow of the individual score calculation process. Shown here is the flow of the processing for calculating the number of biometric measurement points. What is shown here is the difference in the method of obtaining the improvement value, specifically in the case of (a) the difference value (change amount) and (b) the change rate. Shown here are menu screens, specifically, (a) a screen when there are no uninput items, and (b) a screen when there are uninput items. Shown here is the input screen for living body carotenoid values. Shown here is the input screen for vegetable intake. Shown here is an input screen for answering a quiz. Shown here is the current status screen, specifically, (a) during the measurement period and (b) at the end of the measurement period.

<Use case>
FIG. 1 shows a use case of a system according to this embodiment (hereinafter referred to as "this system"). The application of this system 1 is improvement of lifestyle habits. This system 1 is used by individuals (A1 to A3, B1 to B3). An individual belongs to an organization (A, B).

The individual inputs are biometric measurements, improvement activity values, and responses. A biometric value is a measurement that indicates the state of a living organism. Examples of biological conditions include body carotenoid level, sodium-potassium ratio (Na-K ratio), blood pressure, body weight, body fat mass, body fat percentage, and body mass index (BMI). An improvement activity value is a value that indicates the amount of life improvement activity. Examples of the amount of life improvement activities include vegetable intake, sodium intake, potassium intake, sugar intake, calorie intake, and exercise amount. An answer is an answer to a question. The purpose of the questions is to teach life improvement knowledge. In other words, the purpose of the responses is to acquire life-enhancing knowledge.

An individual recognizes an individual score, a group score, an individual ranking, and a group ranking. An individual score is a score that is acquired by an individual. Reflected in the individual score are biometric measurements, improvement activity values, and responses. The group score is the sum of the individual scores. For example, the group score of group A is the sum of the individual scores of individuals A1 through A3. On the other hand, the group score of group B is the sum of the individual scores of individuals B1 to B3. Individual ranking refers to the relative position of individual scores. Reflected in the group score are biometric measurements, improvement activity scores, and responses. The group ranking is the relative position of the group points.

<System configuration>
FIG. 2 shows the configuration of this system. The system 1 is composed of a measuring device 10 , a terminal device 20 and a processing device 30 . A network 40 connects the terminal device 20 and the processing device 30 . Optionally connected to network 40, on the other hand, is measuring device 10 . A description of these devices follows.

<Measuring device>
A part or the whole of a living body is measured by the measuring device 10, and a biological measurement value is obtained thereby. A method for measuring a living body is not critical, but a non-invasive method is preferred. The description of the biometric values is as described above. Examples of the measuring device 10 include a carotenoid sensor, a sodium-potassium ratio sensor, a sphygmomanometer, a weight scale, and a body fat scale.

<Terminal device>
Various values are input to or output from the terminal device 20 . Examples of input values (input values) include biometric measurements, improvement activity values, and answers. If it is the measuring device 10 that is connected to the terminal device 20, the biometric values are automatically entered. Examples of output values (output values) include individual scores, group scores, individual rankings, and group rankings.

A computer, an input device, and an output device constitute the terminal device 20 . Connected to the computer are the input device and the output device. Details of these parts will be described later. Examples of the terminal device 20 include a personal computer (PC), a smart phone, a tablet, and a dedicated game machine.

A person who uses the terminal device 20 is an individual. The number of terminal devices 20 is irrelevant. However, when the number of terminal devices 20 is smaller than the number of individuals, the terminal devices 20 are shared.

<Processing device>
Various values are processed by the processor 30 . That is, the result of processing an input value is an output value. For example, biometric measurements, improvement activity values, and responses may be processed into individual scores, individual rankings, group scores, and group rankings.

Comprised of the processing unit 30 is a computer and a mass storage device. Connected to the computer is the mass storage device. Stored in the mass storage device are the input values and the output values. Details of these parts will be described later. An example of the processing device 30 is a management server or the like.

<Network>
Network 40 refers to a communication network. Examples of the network 40 include a local area network (LAN), a wide area network (WAN), machine-to-machine communication (M2M), and the like.

<Computer hardware configuration>
FIG. 3 shows the hardware configuration of the computer. The computer 50 is composed of an input/output unit 51 , a communication unit 52 , a program storage unit 53 , a temporary storage unit 54 and a processing unit 55 . These components are bus-connected to each other. The computer 50 is mounted on the terminal device 20 and the processing device 30 . A description of these parts follows.

<Input/output part>
Various data are exchanged by the input/output unit 51 . Various devices are connected to the input/output unit 51. Examples include an input device, an output device, and an external storage device. Examples of input devices include touch panels, operation keys, buttons, keyboards, and mice. Examples of output devices include audio output devices (such as speakers), vibration output devices (such as haptic devices), and display devices (such as liquid crystal displays and organic EL displays). Examples of external storage devices include magnetic storage devices (HDD, etc.), optical storage devices (CD, DVD, BD, etc., including their drive devices), and semiconductor storage devices (USB memory, SD card memory, SSD, etc.). be.

<Communication part>
Various data are transmitted and received by the communication unit 52 . Connected to the communication unit 52 is the network 40 . Examples of the communication unit 52 include a dial-up connection module, a Wi-Fi module, a Bluetooth (registered trademark) module, and the like.

<Program memory>
Various programs are stored in the program storage unit 53 . The program storage unit 53 is embodied by a nonvolatile storage device (eg, ROM, etc.) and a nonvolatile storage device (eg, HDD, SSD, etc.). Stored in non-volatile storage is the base program (including the data it requires). Examples of basic programs include a basic input/output system (BIOS), an operating system (OS) setting program, a network setting program, and the like. Stored in non-volatile memory is an operating system (OS) and application programs. Examples of operating systems (OS) include Windows "Windows" (registered trademark), Linux "Linux" (registered trademark), android "Android" (registered trademark). An example of an application program is a life improvement program, which will be described later.

<Temporary memory>
Various programs and various data are temporarily stored in the temporary storage unit 54 . Various programs are as described above. Various data indicate input values, output values, and the like. An example of the temporary storage unit 54 is a volatile storage device (eg, RAM, etc.).

<Processing unit>
Various programs are executed by the processing unit 55, and various data are processed. By executing various programs, input values are processed and become output values. A central processing unit (so-called CPU) embodies the processing unit 55 . Commonly built into the central processing unit is a clock function.

<Screen configuration>
FIG. 4 shows the configuration of the initial screen. The screen 60 is mainly composed of a background portion 61 , a progress portion 62 , a biometric portion 63 , an improvement activity portion 64 , a knowledge portion 65 and a preliminary portion 66 . It does not matter where these screen components are placed.

Various types of information are displayed in the background portion 61. Examples include titles, logos, characters, user names, current date and time, and the like.

Various types of information are displayed in the progress section 62. Examples include individual scores, individual rankings, group scores, group rankings, and group names. What the progress section 62 has is an activation function. That is, by operating the progress section 62, the details of the progress (for example, a ranking chart, etc.) are output.

Displayed on the biometric unit 63 are at least functional indicators (eg, names, logos, etc.) and individual biometric values (eg, most recent biometric values, average biometric values, etc.). What the biometric unit 63 has is an activation function. That is, by operating the biometric unit 63, an input screen for biometric values is output.

Displayed in the improvement activity section 64 are at least functional indicators (eg, name, logo, etc.) and individual improvement activity values (eg, most recent improvement activity value, average improvement activity value, etc.). What the improvement action unit 64 has is an activation function. That is, by operating the improvement activity unit 64, an input screen for an improvement activity value is output.

Displayed in knowledge section 65 are at least functional indicators (eg, names, logos, etc.). What the knowledge section 65 has is an activation function. That is, by operating the knowledge section 65, a question screen and an answer input screen are output.

Assigned to the spare portion 66 are spare functions other than those described above. What the spare part 66 has is a wake-up function. By operating the reserve section 66, the reserve function is activated.

<Database>
FIG. 5 shows the configuration of the database, specifically, (a) individual performance database, (b) biometric value history database, (c) improvement activity value history database, and (d) group performance database. be.

One or more records make up the individual performance database. Each record has two or more fields. Listing the attributes (attribute name and attribute value pairs) of each field, ID, name, organization name, individual rank, individual score, first biometric score, second biometric score, improvement activity score, knowledge score, and Other life improvement related scores.

One or more records make up the biometric history database. Each record has two or more fields. Attributes of each field are date (measurement date and time), ID, and biometric value. An attribute that can be employed in this database is measurement times.

One or more records make up the improvement activity value history database. Each record has two or more fields. Attributes of each field are date (activity date and time), ID, and improvement activity value. Available in this database are activity times.

One or more records constitute the team performance database. Each record has two or more fields. Attributes of each field are group name, group ranking, and group score. Available in this database are activity times.

<Life Improvement Program>
The life improvement program is mainly composed of database update processing and output processing. Details of these processes are as follows.

<Database update processing>
Update various databases. The time at which such processing is executed is not critical, but is preferably at the time of starting the life improvement program, at the time of inputting values, and/or at a fixed time (for example, at the same time as the date is changed).

FIG. 6 shows the flow of database update processing. The processes (steps) constituting the process are individual score calculation (S10), group score calculation (S11), individual rank calculation (S12), and group rank calculation (S13). Here, "computation" refers to an operation on an input value, and exemplifies a logic operation, a four arithmetic operation, a comparison operation, and the like. The term does not matter whether it is an algorithmic operation or a table operation (hereinafter the same). Details of these processes are as follows.

<Personal score calculation (S10)>
Calculate individual scores. That is, when various values are input, individual scores are output. Examples of various values include biometric values, improvement activity values, and the number of answers to questions (more preferably, the number of correct answers). The personal score includes a first biometric score, a second biometric score, an improvement activity score, a knowledge score, and other life improvement related scores. These scores are managed by the individual performance database, as described above. Details of the arithmetic processing will be described later.

<Group score calculation (S11)>
Calculate the group score. Specifically, the key used to extract the individual score is "organization name". The extracted individual scores are totaled to obtain the group score. These processes are repeated until all corporate names have been processed.

<Individual rank calculation (S12)>
Calculate individual ranking. Specifically, all the IDs are rearranged (sorted) in descending or ascending order of individual scores. All IDs are given ranks. The ID with the highest associated individual score is the highest, while the one with the lowest individual score is the lowest. The handling of ties will be determined as appropriate.

<Group ranking calculation (S13)>
Calculate the group ranking. Specifically, all group names are rearranged (sorted), and the group points are sorted in descending or ascending order. All team names are given a rank. The corporate name with the highest associated individual score is at the top, while the one with the lowest individual score is at the bottom. The handling of ties will be determined as appropriate.

<Details of individual score calculation processing>
FIG. 7 shows the flow of the individual score calculation process. The processes (steps) constituting the process are biometric measurement score calculation (S20), improvement activity score calculation (S21), knowledge score calculation (S22), and total score calculation (S23). Details of these processes are as follows.

<Calculation of biological measurement points (S20)>
Calculate the number of biometric measurements. That is, when a biometric measurement value is input, the biometric measurement score is output. More specifically, inputting a biometric value outputs a biometric improvement value. When this biometric improvement value is input, the biometric score is output. This score is managed by the individual performance database, as described above. Details of the calculation will be described later.

<Calculation of improvement activity score (S21)>
Calculate the improvement activity score. That is, when an improvement activity value is input, an improvement activity score is output. The relationship (calculation rule) between these values is arbitrary. For example, the improvement activity value and the improvement activity score depend on the proportional relationship (y=ax+b). This score is managed by the individual performance database, as described above.

<Knowledge Score Calculation (S22)>
Calculate the knowledge score. That is, when the number of answers (the number of correct answers) is input, the knowledge score is output. The relationship (calculation rule) between these values is arbitrary. For example, the number of answers (the number of correct answers) and the knowledge score depend on the proportional relationship (y=ax+b). This score is managed by the individual performance database, as described above.

<Total score calculation (S23)>
Calculate the total score. That is, the biometric measurement score, the improvement activity score, and the knowledge score are summed up to output the knowledge score. Other life improvement related scores may be added up. This score is managed by the individual performance database, as described above.

<Repeat (S24)>
The above calculation is repeated from the first ID to the last ID ("n" in S24). When the personal score of the last ID is calculated, this process ends ("y" in S24).

<Details of calculation processing for the number of biometric measurement points>
FIG. 8 shows the flow of processing for calculating the number of biometric measurement points. The processes (steps) constituting the process are determination (S30), first improvement value calculation (S31), second improvement value calculation (S32), and biometric score calculation (S33). Details of these processes are as follows.

<Determination (S30)>
It is determined whether or not a predetermined time has come. The predetermined time is any time within the biometric measurement period. A preferred predetermined time is the end of the biometric measurement period (eg, last day, last time). It is the date that is referenced in the determination. This date is managed by the biometric value history database.

<First Improvement Value Calculation (S31)>
If the predetermined time has not yet arrived ("n" in S30), a first improvement value is calculated. That is, when a plurality of biomeasurement values are input, the first improvement value is output. The method of selecting a plurality of biometric values and the method of obtaining the first improvement value are as follows.

It does not matter how to select a plurality of biometric values. Usually, however, two biometrics are chosen. Specifically, the two biometrics are the initial biometric and the latest biometric. An initial biometric value is the biometric value that is associated with the earliest date (eg, the first day of the measurement period) or number of times (eg, the first time). A most recent biometric value is a biometric value with which the latest date (eg, date of most recent measurement) or number of times (eg, most recent time) is associated.

It does not matter how the first improvement value is obtained. The degree of improvement is usually represented by a differential value (amount of change) or rate of change. Therefore, the first improvement value can be (1) the difference value between the two biometric values, (2) the rate of change between the two biometric values, and (3) the difference value and the change or the sum of the rates. More specifically, the first improvement value can be any one of the following (formula 1) to (formula 3).

(Equation 1) first improvement value = latest biometric value - first biometric value,
(Formula 2) First improved value = (Latest biometric value - First biometric value)/Latest biometric value (Formula 3) First improved value = (Latest biometric value - First biometric value)
+ {(most recent biometric - first biometric) / most recent biometric}
FIG. 9 shows differences in the method of obtaining the improvement value, specifically, (a) difference value (change amount) and (b) change rate. For example, if the biometric value change of person A is from "6" to "7," the difference value of the biometric value of person A is "+1.0." If the biometric value change of person B is from "9" to "10", the difference value of the biometric value of person B is "+1.0". That is, the difference value of both biometric values is the same. On the other hand, the rate of change of the biometric value of individual A is "+0.14", where the denominator is the latest biometric value "7". The rate of change of the biometric value of individual B is "+0.10", where the denominator is the latest biometric value "10". In other words, even if the difference value of both biomeasured values is the same, the rates of change of both biometric values are different. Furthermore, the rate of change in the biometric value is higher for a person whose latest biometric value (absolute value) is worse. What is not excluded in this embodiment is that the denominator is the first biometric value.

In the present embodiment, preferably, the first improvement value is (Equation 1). Since only the difference value is adopted, the value per variation "1" of the biometric value remains unchanged. For example, the value of person A's variation of "+1" and the value of person B's variation of "+1" are the same. Also, point increments are easy to calculate or predict.

<Second Improvement Value Calculation (S32)>
When the predetermined time has arrived ("y" in S30), a second improvement value is calculated. That is, when a plurality of biometric measurements are input, the second improvement value is output. One of the main points of the present invention is the discrepancy between the method for obtaining the first improvement value and the method for obtaining the second improvement value. The aim of such discrepancies is to trigger the possibility of reversal of points or rankings. The method of selecting a plurality of biomeasured values and the method of obtaining the second improvement value are as follows.

In the selection of multiple biometrics, the most recent biometric is the final biometric. A final biometric value is a biometric value that has associated with it the date or time of the last measurement. Other explanations are the same as those of the first improvement value calculation (S31).

Regarding the method of obtaining the second improvement value, the second improvement value can be: (1) the difference value between two biometric values, (2) the rate of change between the two biometric values, and (3) It is either the sum of the difference value and the rate of change. More specifically, the second improvement value can be any one of the following (formula 4) to (formula 6).

(Equation 4) second improvement value = final biometric value - initial biometric value,
(Formula 5) Second improved value = (final biometric value - initial biometric value)/final biometric value (Formula 6) Second improved value = (final biometric value - initial biometric value)
+ {(final biometric-initial biometric)/final biometric}
As described above, the rate of change in biometric values is higher for a person with the worse latest biometric value. Also, the latest biometric value is the final biometric value. In other words, the rate of change in the biometric value is higher for a person whose final biometric value is worse. Other explanations are the same as those for the first improvement value calculation (S21).

In the present embodiment, preferably, the second improvement value is (Equation 6). Since the rate of change is adopted, the value per variation "1" of the measured value fluctuates. Also, point increments are easy to calculate or predict. For example, the value of person A's variation of "+1" and the value of person B's variation of "+1" are different. Also, point increments are difficult to calculate or predict. In other words, game elements are strengthened.

<Calculation of biological measurement points (S33)>
Calculate the number of biometric measurements. If the predetermined time has not yet arrived ("n" in S31), the first improvement value is input and the first biometric score is output. On the other hand, when the predetermined time has come ("y" in S31), the second improvement value is input and the second biometric measurement score is output. In these cases, the relationship (calculation rule) between the input value and the output value is arbitrary. For example, the first improvement value and the first biometric score depend on the proportional relationship (y=ax+b). Also, the second improvement value and the second biometric measurement score depend on the proportional relationship (y=ax+b). These scores are managed by the individual performance database, as described above.

<Output processing>
Output attribute values of various databases. The time at which such processing is executed is not critical, but is preferably at the time of starting the life improvement program and/or at the time of inputting various values or after. Listing these attribute values are individual scores, individual ranks, group scores, group ranks, group names, individual biometric values, and individual improvement activity values (for example, see the description of screen 60). sea bream.).

If the calculation rule for the input value changes, the change in the output value will increase. It is before and after the predetermined period of the biomeasurement period that the output value changes significantly. That is, if the execution time of the output process is before a predetermined time of the biometric period (for example, the end of the biometric period), the individual score, the individual ranking, the group score, or the group ranking reflects only the biometric value. is the first improvement value of On the other hand, if the execution time of the output process is the predetermined time of the biometric period (for example, the end of the biometric period) or after that, the individual score, individual ranking, group score, or group ranking reflects only the biometric value. is the second improvement value of

<Effects of this embodiment>
As described above, it is before and after the predetermined timing that the output value changes greatly. That makes the score less predictable. What such game elements allow is to maintain the user's interest in improving their lifestyle.

If the predetermined time is the end of the measurement (competition) period, the current situation changes completely at the end of the measurement (competition) period. What such a reversal element allows is to maintain the interest of even the underdog user.

If it is at least the biometric variability that constitutes the first improvement or the second improvement (equations 2, 3, 5, 6), then the score for the user with the relatively low biometric is , will be given preferential treatment. Such preferential treatment makes it possible to attract the interest of users with relatively low biometrics and to make organizations willing to enroll users with relatively low biometrics.

If the first improvement value is the difference value of the biometric value (equation 1), and the second improvement value is the sum of the difference value of the biometric value and the variation rate of the biometric value (equation 6), the biometric It is during or after a predetermined period of time that the score of a user with a low measurement value is given preferential treatment. What such a reversal element enables is to maintain the interest of low biometric users or the morale of a subscribing group of such users.

<Example: Vegetable intake improvement system>
While lifestyle improvement is being recommended, the intake of vegetables is especially recommended for the Japanese people. This is because vegetables contain nutrients necessary for maintaining good health. Examples of these nutrients include minerals and vitamins. As mentioned above, despite recommendations for vegetable intake, the average vegetable intake of the Japanese population is less than recommended. Specifically, the recommended vegetable intake is 350 g or more per day. On the other hand, according to the disclosure of "Overview of 2016 National Health and Nutrition Survey Results" (Ministry of Health, Labor and Welfare, p. 22), the average intake of Japanese people is only about 2655 g per day.

Based on the above background, System 1 is realized by a vegetable intake improvement system. The application of the vegetable intake improvement system is the improvement of vegetable intake. The vegetable intake improvement system assumes competition between departments within a corporation. For example, when department competition is held, it is the "department (team)" that corresponds to the organization. A "department member (team member)" corresponds to an individual.

The vegetable intake improvement system consists of a non-invasive carotenoid sensor (equipment name "Vegecheck (trademark applied by Kagome Co., Ltd.)"), a smartphone, and a server. A public line connects the smartphone and the server. The state of the non-invasive carotenoid sensor is stand-alone. The place to install the non-invasive carotenoid sensor is the corporate office.

Corresponding to the non-invasive carotenoid sensor is the "measurement device 10". Incorporated herein is the content of US Pat. No. 10,416,079 for describing non-invasive carotenoid sensors.

The "terminal device 20" corresponds to the smartphone. Various values are sent and received by the smartphone, and the other party is the server. What is input to the smartphone is the value obtained by the operation. What is output by the smartphone is the value from the server. These functions are mainly implemented by the Veggie Championship (a registered trademark of Kagome Co., Ltd.) terminal program.

Corresponding to the server is the processing device 30 . Various values are sent and received by the server, and the other party is a smartphone. What is input to the server is the value from the smartphone. It is the processed value that is output at the server. Installed on the server is the Veggie Championship (a registered trademark of Kagome Co., Ltd.) server program. This program corresponds to the "life improvement program".

FIG. 10 shows a menu screen, specifically, (a) a screen when there are no uninput items, and (b) a screen when there are uninput items. The smartphone displays the menu screen 100 . Various buttons 101 to 106 constitute the menu screen 100 .

When the buttons 101 to 105 are operated, an input screen is displayed. Individuals enter biogenic carotenoid values, vegetable intake, and answers to quizzes. When these values are entered, their values 101a, 102a, 104a, 105a are displayed. On the other hand, if there are values that have not been input, "not input" indicators 101b and 102b are displayed. Details of these will be described later.

When the button 106 is operated, the current status screen is displayed. This point will be described later. Displayed on the button 106 are a group name 106a, a group ranking 106b, a group score 106c, and an individual score 106d. What button 106 does not exclude is the display of individual rankings. It is the individual who recognizes these achievements.

FIG. 11 shows an input screen for living body carotenoid values. Corresponding to vital carotenoid values are "biometric measurements." A means of measuring biogenic carotenoid levels is a non-invasive carotenoid sensor. The input screen 110 is composed of an input area 111 and a history area 112 . The input area 111 includes a manual input button 113 and a QR code (registered trademark) reading button 114 . By operating these buttons 113 and 114, living body carotenoid values are input. Displayed in history area 112 is a history of biogenic carotenoid values. Associated with the vital carotenoid value 115 are the date 116a and the number of times 116b.

FIG. 12 shows an input screen for vegetable intake. Corresponding to vegetable intake is the "improvement activity value." A method for easily grasping vegetable intake is "Vege Hand (registered trademark of Kagome Co., Ltd.)". According to this index, one veggie hand is one handful of vegetables (approximately 50g). If the vegetable intake is 6 veggie hands or more per day, the recommended daily vegetable intake is met. A history area 121 constitutes the input screen 120 . Included in the history area 121 is a basket icon 122 . By operating the basket icon 122, the vegetable intake is input. Displayed in the history area 121 is the history of vegetable intake. Associated with vegetable intake 123 is date 124 . What is allowed in this embodiment is to use living body carotenoid values as the basis for deriving vegetable intake. That is, the biogenic carotenoid value is converted into vegetable intake. Referenced in such calculations is a relational expression or correspondence table between living carotenoid values and vegetable intake.

FIG. 13 shows an input screen for answering a quiz. Corresponding to the answer to the quiz is the "answer". The content of the quiz is not specified, but examples include the significance of vegetable intake and efficient methods of vegetable intake. The input screen 130 is composed of a quiz area 131 and an answer area 132 . A quiz is displayed in the quiz area 131 . On the other hand, included in the answer area 132 are option buttons 133a-133d. An answer is input by operating the option buttons 133a to 133d.

FIG. 14 shows the current status screen, specifically (a) during the measurement period and (b) at the end of the measurement period. Details of these are as follows.

A graph area 141 and a list area 142 constitute the current status screen 140 during the measurement period. Shown in the graph area 141 is the transition of the ranking of each team. List area 142 displays the group name, group score, and group ranking. The group score is the sum of the individual scores. For example, the group score of the A division team is the sum of the individual scores of the A division members. Reflected in the individual score are the difference value of living carotenoid values, the amount of vegetable intake (cumulative value), and the number of correct answers in the quiz. Above all, in other words, what is reflected in the group score is the difference value of the living carotenoid value, the amount of vegetable intake (cumulative value), and the number of correct answers in the quiz. The team ranking indicates the relative position of the team score.

An award area 151 and a list area 152 constitute the current status screen 150 at the end of the measurement period. Displayed in the commendation area 151 are the name of the first place team, the name of the second place team, and the name of the third place team. List area 152 displays the group name, group score, and group ranking. Here, what is reflected in the individual score is the difference value of the living carotenoid value, the rate of change of the living carotenoid value, the vegetable intake (cumulative value), and the number of correct answers in the quiz. In particular, what is reflected in the group score is the difference value of the living carotenoid value, the rate of change of the living carotenoid value, the vegetable intake (cumulative value), and the number of correct answers in the quiz.

As can be seen, what this embodiment enables is to maintain a user's interest in improving their vegetable intake, and more specifically, a user's interest in low biogenic carotenoid levels or such a user's interest in Maintaining the morale of your team.

Areas in which the present invention is useful are food marketing and health-related businesses.

Claims (7)

A program by which a computer performs at least the following processes:
Operation: it is the biometric that is processed, the result is a score, and
The first improved value of the biometric value reflected in the score is before a measurement date belonging to the end of the biometric period, and the first improved value is the is a difference value of a biometric value or a rate of change of the biometric value, and
The second improvement value of the biometric value that is reflected in the score is the measurement date belonging to the terminal phase or after that , and the second improvement value is the difference value. and the rate of change . The program of claim 1,
The measurement date belonging to the end phase is the last date of the biometric period. The program of claim 1 ,
It is only the difference value that constitutes the first improvement value. The program according to any one of claims 1 to 3 ,
The biometrics are indicative of carotenoid levels in the body. The program according to any one of claims 1 to 4 ,
The score is at least one of an individual score and a group score. A processing device, comprising at least:
processing unit: it is the biometrics that is processed, which yields at least a score;
The first improved value of the biometric value reflected in the score is before a measurement date belonging to the end of the biometric period, and the first improved value is the is a difference value of a biometric value or a rate of change of the biometric value, and
The second improvement value of the biometric value that is reflected in the score is the measurement date belonging to the terminal phase or after that , and the second improvement value is the difference value. and the rate of change . A system that consists of at least the following:
Measuring device: what is measured is part or all of a living organism, and the result is a biometric value, and
a processor: it is the biometric that is processed, and the result is at least a score;
Terminal device: The output is the score ,
The first improved value of the biometric value reflected in the score is before a measurement date belonging to the end of the biometric period, and the first improved value is the is a difference value of a biometric value or a rate of change of the biometric value, and
The second improvement value of the biometric value that is reflected in the score is the measurement date belonging to the terminal period or after that , and the second improvement value is the difference value. and the rate of change .

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