JP6694542B1 - Program, information processing method, and information processing terminal - Google Patents

Abstract

PROBLEM TO BE SOLVED: To present a variation of user's condition in one day. SOLUTION: In the information processing terminal 1, a graph generation unit 31 of a condition is a graph in which each time of the day is a first axis and a predicted value of a user's condition corresponding to each time is a second axis. Generate a prediction graph of time change. The reception unit 30 receives a display instruction of the prediction graph from the user. The display control unit 32 causes the display unit to display the preliminary measurement graph upon receiving a display instruction of the prediction graph from the user. [Selection diagram] Figure 1

Description

  The present invention relates to a program, an information processing method, and an information processing terminal, and more particularly to a technique for presenting a prediction graph of a temporal change in condition over one day.

  Sleep is essential to our activity. Getting enough sleep also affects quality of life and ability to work. Therefore, for example, Patent Literature 1 discloses a technique that acquires sleep information of a user and outputs advice that is the least difficult for the user and is suitable for improving a sleep situation based on the acquired sleep information. Has been done.

JP, 2009-233027, A

  The above technique is a technique for supporting improvement of the sleep environment of the user from a long-term perspective. On the other hand, the performance that can be demonstrated in actual life and work depends on the condition of the day. It is of course important to improve the sleep environment from a long-term perspective, but it is also important to understand the condition every day.

  The present invention has been made in view of these points, and an object of the present invention is to provide a technique for presenting a change in the user's condition in one day.

  A first aspect of the present invention is a program. This program generates, on the computer, a prediction graph of time change of condition, which is a graph in which each time of the day has a first axis and the predicted value of the condition of the user corresponding to each time is a second axis. A function, a function of receiving an instruction to display the prediction graph from the user, and a function of displaying the prediction graph on a display unit upon receiving an instruction to display the prediction graph from the user are realized.

  The program may cause the computer to further realize a function of accepting designation of a transition type of the user's condition, and the function of generating the prediction graph is subject to the designation of the transition type being accepted. , The prediction graph may be generated.

  The program further realizes a function of causing the display unit to display an icon on the display unit, the icon indicating at least one of a time period in which the condition is relatively high and a time period in which the condition is relatively low. You may let me.

  The program has a function of allowing the computer to receive a notification setting related to the condition from the user, and a function of notifying the user of information related to the condition triggered by satisfying a condition defined in the notification setting. , May be further realized.

  The program provides the computer with information indicating recommended actions to be taken by the user in order to maintain the condition shown in the prediction graph, at the time when the recommended actions on the first axis of the prediction graph should be executed. The function of displaying on the display unit may be further realized in correspondence with.

  The program provides the computer with information indicating an improvement action to be taken by the user to improve the condition shown in the prediction graph, at a time when the improvement action on the first axis of the prediction graph should be executed. The function of displaying on the display unit in association with the above, and the function of displaying on the display unit a prediction graph of the time change of the condition when the user takes the improvement action may be further realized.

  The program further causes the computer to realize a function of reading a template of a prediction graph corresponding to the transition type of the user's condition from a storage unit that stores the template of the prediction graph for each transition type of the condition. Alternatively, the function of receiving the display instruction may further receive sleep data, which is a numerical value indicating information regarding sleep of the user, together with the display instruction, and the function of generating the prediction graph is read from the storage unit. The prediction graph may be generated by changing the template of the prediction graph based on the sleep data.

  The program calculates, in the computer, a score indicating whether the condition of the user in the day is good or bad based on the model of the prediction graph read from the storage unit and the changed prediction graph. The function and the function of displaying the score on the display unit may be further realized.

  The function of receiving the display instruction may receive, as the sleep data, a numerical value indicating the bedtime, the sleep time, the awakening time, and the wakeup time of the user from the terminal used by the user.

  The function of displaying may cause the display unit to further display a template of the prediction graph read from the storage unit.

  In order to provide the above program or update a part of the program, a computer-readable recording medium recording the program may be provided, and the program may be transmitted through a communication line. ..

  A second aspect of the present invention is an information processing method. In this method, the processor generates a prediction graph of condition time change, which is a graph in which each time of the day has a first axis and a predicted value of a user's condition corresponding to each time is a second axis. The following steps are executed: a step of receiving a display instruction of the prediction graph from the user, and a step of displaying the prediction graph on a display unit upon receiving a display instruction of the prediction graph from the user.

  A third aspect of the present invention is an information processing terminal. This information processing terminal is a graph that generates a prediction graph of time change of condition, which is a graph in which each time of day is a first axis and the predicted value of the condition of the user corresponding to each time is a second axis. A generation unit, a reception unit that receives a display instruction of the prediction graph from the user, and a display control unit that displays the prediction graph on the display unit upon receiving a display instruction of the prediction graph from the user. Prepare

  It should be noted that any combination of the above constituent elements, and the expression of the present invention converted between a method, a device, a system, a computer program, a data structure, a recording medium, etc. are also effective as an aspect of the present invention.

  According to the present invention, it is possible to present the fluctuation of the user's condition in one day.

It is a figure which shows typically the functional structure of the information processing terminal which concerns on embodiment. It is a figure which shows typically an example of the prediction graph of the condition which the information processing terminal which concerns on embodiment produces | generates. It is a schematic diagram which shows the data used for generation of the prediction graph which concerns on embodiment in a graph format. It is a figure which shows typically an example of the information which shows the recommended action which the display control part which concerns on embodiment displays on a display part. It is a figure which shows typically an example of the information which shows the improvement action which the display control part which concerns on embodiment displays on a display part. It is a figure which shows typically an example of the prediction graph after the improvement which the display control part which concerns on embodiment displays on a display part. It is a figure which shows typically an example of the prediction graph which added the score which the score calculation part calculated. 6 is a flowchart for explaining the flow of information processing executed by the information processing terminal according to the embodiment.

<Outline of Embodiment>
The outline of the embodiment will be described. The program according to the embodiment is executed by an information processing terminal such as a smart phone used by a user. By executing the program according to the embodiment, this information processing terminal causes the display unit to display a graph showing the time variation of the user's condition in one day.

  Here, the "condition" is an index indicating whether or not the user can exert his / her power at work or the like. The condition has the same meaning as the awakening degree indicating how "awake" the user is. Therefore, the arousal level is a concept that is paired with drowsiness indicating how "sleepy" the user is. In this specification, the condition (wakefulness) is represented by a numerical value from 0 to 100. A condition of 100 represents a state in which the user can exert his / her best power at work or the like. A condition of 0 means that the user cannot do work at all.

  If the condition is C and the drowsiness is S, the relationship of C + S = 100 is established. For example, a condition of 100 means that the sleepiness is 0, that is, the user is not sleepy at all. On the contrary, a condition of 0 indicates that the user is drowsiness 100, that is, the user needs to sleep immediately.

  Conditions are not constant during the day and may vary over time. For example, many users are sleepy at midnight and in low condition. In addition, a user who gets enough sleep tends to have a high morning condition.

  The information processing terminal that executes the program according to the embodiment causes the display unit to display the graph showing the time variation of the user's condition in one day, so that the user can only glance at the graph displayed on the display unit. The current condition and subsequent changes in condition can be grasped with.

<Functional configuration of information processing terminal 1 according to the embodiment>
FIG. 1 is a diagram schematically showing the functional configuration of the information processing terminal 1 according to the embodiment. The information processing terminal 1 includes a storage unit 2 and a control unit 3. In FIG. 1, arrows indicate main data flows, and there may be data flows not shown in FIG. In FIG. 1, each functional block does not show a hardware (device) unit configuration but a functional unit configuration. Therefore, the functional blocks shown in FIG. 1 may be implemented in a single device or may be separately implemented in a plurality of devices. Data exchange between the functional blocks may be performed via any means such as a data bus, a network, a portable storage medium, or the like.

  The storage unit 2 includes a ROM (Read Only Memory) that stores a BIOS (Basic Input Output System) of a computer that implements the information processing terminal 1, a RAM (Random Access Memory) that serves as a work area of the information processing terminal 1, an OS ( An operating system), an application program, and a large-capacity storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) that stores various types of information referred to when the application program is executed.

  The control unit 3 is a processor such as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit) of the information processing terminal 1, and executes the program stored in the storage unit 2 to receive the reception unit 30 and the graph generation unit 31. , The display control unit 32, the notification unit 33, the score calculation unit 34, and the template acquisition unit 35.

  Note that FIG. 1 shows an example in which the information processing terminal 1 is configured by a single device. However, the information processing terminal 1 may be realized by cooperating with a plurality of processors such as a cloud computing system and a computing resource such as a memory. In this case, each unit constituting the control unit 3 is realized by at least one of the plurality of different processors executing the program.

  The reception unit 30 receives a display instruction of the prediction graph from the user. Here, the "prediction graph" is a graph in which each time of the day is the first axis and the predicted value of the user's condition corresponding to each time is the second axis, and the time change of the user's condition is predicted. It is a graph which shows a value.

  The graph generation unit 31 generates a prediction graph. The display control unit 32 causes the display unit to display the prediction graph generated by the graph generation unit 31 in response to receiving an instruction to display the prediction graph from the user.

  Here, when the information processing terminal 1 is a device including a display unit such as a smartphone or a notebook PC (Personal Computer), the display control unit 32 causes the display unit to display a prediction graph. If the information processing terminal 1 is a device such as a desktop PC that does not include a display unit, the prediction graph is displayed on the display device connected to the information processing terminal 1. Even if the information processing terminal 1 is a device including a display device, if the information processing terminal 1 is wirelessly connected to a device including a display unit such as a watch-type wearable device, the display control unit 32. May display a prediction graph on the display unit of the wearable device.

  FIG. 2 is a diagram schematically illustrating an example of a condition prediction graph generated by the information processing terminal 1 according to the embodiment. FIG. 2 shows a state in which the information processing terminal 1 is a smartphone and the prediction graph is displayed on the display unit included in the information processing terminal 1. In the example shown in FIG. 2, the graph generation unit 31 generates the time change of the condition in the form of a bar graph with the horizontal axis representing each time of day and the vertical axis representing the predicted value of the user's condition corresponding to each time. There is. In this way, the user can glance at the change in the condition of the day by looking at the prediction graph displayed on the display unit.

  Returning to the explanation of FIG. The time variation of the condition in one day is generally different for each user, but the tendency of the variation can be roughly divided into several groups. For example, if the users are so-called "morning", then these users tend to be in high condition in the morning. Conversely, if, for example, the users are "night", they tend to be in poor morning conditions.

  Therefore, the reception unit 30 receives from the user the designation of the transition type of the user's condition. Specifically, the reception unit 30 causes the display control unit 32 to display a transition type (for example, morning type, daytime type, or night type) on the display unit in a selectable manner, and allows the user to select it. Accepts the transition type specification. The graph generation unit 31 generates a prediction graph on condition that the reception unit 30 has received the designation of the transition type. Thereby, the graph generation unit 31 can reflect the transition type received from the user in the generation of the prediction graph.

  Specifically, the storage unit 2 of the information processing terminal 1 stores a model of a prediction graph for each transition type of condition. The template acquisition unit 35 reads the template of the prediction graph corresponding to the transition type of the user's condition from the storage unit 2.

  FIGS. 3A and 3B are schematic diagrams showing data used for generating the prediction graph according to the embodiment in a graph format. Specifically, FIG. 3A is a diagram showing a template of a prediction graph of a user whose condition transition type is “morning”. More specifically, FIG. 3A is a diagram showing a prediction graph of a morning user who has a sufficient sleep time and has a so-called “sleep debt” of 0. In this sense, FIG. 3A can be said to be an ideal prediction graph for morning users. As shown in FIG. 3A, the morning type user has a sufficiently high condition even in the morning. The storage unit 2 stores a plurality of different templates for each transition type of the user's condition.

  Generally, the less sleep a user has, the lower the condition of the user. That is, the user's past sleep information affects the prediction graph of the time change of the condition. In addition, the drowsiness of the user increases and the condition deteriorates as time elapses after waking up.

  FIG. 3B is an example of a schematic diagram showing the correction coefficient of the prediction graph in a graph format. The graph shown in FIG. 3B shows the rate of decrease in the condition of the user at each time, and changes depending on the transition type of the condition of the user and information regarding the sleep of the user. The storage unit 2 stores a plurality of different correction coefficient graphs for each information regarding the transition type of the user's condition and the user's sleep.

  The accepting unit 30 also accepts sleep data, which is a numerical value indicating information regarding the sleep of the user, together with the display instruction of the prediction graph by the user. The sleep data is a numerical value indicating information regarding the user's sleep, and is, for example, a numerical value indicating the user's bedtime, sleep time, awakening time, and wakeup time. The sleep data is automatically measured by the information processing terminal 1, which is an information terminal such as a smart phone, before and after the sleep of the user. The reception unit 30 receives, from the information processing terminal 1, numerical values indicating a user's bedtime, sleep time, awakening time, and wakeup time as sleep data.

  The graph generation unit 31 first reads a template of the prediction graph from the storage unit 2 based on the transition type of the user's condition. Then, the display control unit 32 reads a graph of the correction coefficient from the storage unit 2 based on the sleep data. Finally, the display control unit 32 changes the template by multiplying the condition value at each time of the read prediction template by the coefficient at each time in the graph of the correction coefficient. With this, the display control unit 32 generates a prediction graph to be presented to the user. In this way, the display control unit 32 can create a prediction graph that reflects the degeneration type of the user's condition and the sleep data.

  The prediction graph shown in FIG. 2 is a graph showing the result of multiplying the template of the prediction graph by the correction coefficient. As shown in FIG. 2, the condition is not constant throughout the day, and there are a relatively high time period and a relatively low time period. In FIG. 2, a first icon I1 indicated by reference numeral I1 is an icon indicating a time zone in which the user's condition is relatively high in one day. Further, the second icon I2 indicated by the symbol I2 is an icon indicating a time period during which the user's condition is relatively low in one day. The example shown in FIG. 2 indicates that the user has a relatively high condition at about 10:00 and a relatively low condition at about 13:00 to 14:00 in one day.

  The display control unit 32 causes the display unit to display at least one of the first icon I1 and the second icon I2. This allows the user to easily refer to it when planning the activity for one day.

  Here, the reception unit 30 may receive the setting of the notification regarding the condition from the information processing terminal 1 used by the user. In this case, the notification unit 33 notifies the user of the information regarding the condition when the condition defined by the notification setting received by the reception unit 30 is satisfied.

  For example, the reception unit 30 receives a setting from the user that the notification should be given 30 minutes before the time zone in which the condition is predicted to be lowest during the day. In this case, the notification unit 33 refers to the prediction graph generated by the graph generation unit 31 to acquire the time zone in which the condition is predicted to be the lowest in one day, and on the condition that it is 30 minutes before that. Notify the user. The notification unit 33 may notify the user by vibration using the vibration function of the information processing terminal 1, or may notify by voice using the voice output function of the information processing terminal 1. This allows the user to take measures such as taking a nap or taking caffeine before the condition becomes low. You can also assign important work during times when conditions are high.

  As described above, the drowsiness of the user increases and the condition decreases as the time elapses after waking up. Therefore, as shown in FIG. 3B, the correction coefficient of the prediction graph becomes smaller as time elapses after waking up. These correction coefficients are only statistical data, and for example, when the user actively behaves, the subsequent conditions may not maintain the numerical values shown in the prediction graph.

  Therefore, the display control unit 32 associates the information indicating the recommended action that the user should take to maintain the condition shown in the prediction graph with the time at which the recommended action on the first axis of the prediction graph should be executed. It may be displayed on the display unit.

  FIG. 4 is a diagram schematically showing an example of information indicating recommended actions displayed on the display unit by the display control unit 32 according to the embodiment. The example shown in FIG. 4 shows a state in which a sentence recommending taking a nap for about 20 minutes between 13:00 and 14:00 is displayed using the pop-up P. The user can grasp the recommended action for maintaining the condition by referring to the pop-up P.

  As mentioned above, the user's daily condition affects the sleep data of the previous user. Therefore, getting the user to sleep well will improve the condition of the next day. For example, ingesting caffeine or looking directly at blue light is said to stimulate the user's awakening, while taking a bath or listening to classical music is said to be effective for smooth sleep induction. There is.

  Therefore, the display control unit 32 associates the information indicating the improvement action to be taken by the user to improve the condition shown in the prediction graph with the time at which the improvement action on the first axis of the prediction graph should be executed. It may be displayed on the display unit.

  FIG. 5: is a figure which shows typically an example of the information which shows the improvement action which the display control part 32 which concerns on embodiment displays on a display part. The example shown in FIG. 5 shows a state in which a sentence recommending that caffeine is not taken after 14:00 is displayed using the pop-up P2. The user can understand the improvement action for improving the condition by referring to the popup P2.

  Here, the graph generation unit 31 may generate a prediction graph of a temporal change in condition when the user takes the improvement action presented by the display control unit 32. In this case, the display control unit 32 causes the display unit to display the improved prediction graph generated by the graph generation unit 31.

  FIG. 6 is a diagram schematically illustrating an example of the improved prediction graph displayed on the display unit by the display control unit 32 according to the embodiment. FIG. 6 shows an example in which the graph generation unit 31 generates a graph in the form of sleepiness prediction, which is a concept that forms a pair of conditions, as a prediction graph of time-dependent changes in conditions.

  In FIG. 6, the display control unit 32 superimposes a “pre-improvement graph”, which is a prediction graph when the user takes no improvement action, and a “post-improvement graph”, which is a prediction graph when the user takes improvement action. Is displayed. Specifically, in the bar graph shown in FIG. 6, the graph indicated by a white bar is a graph before improvement, and the graph indicated by a black bar is a graph after improvement. As shown in FIG. 6, when the user did not ingest caffeine after 14:00, the drowsiness of the user increased during the night, as compared with the case where it did not.

  In this way, the display control unit 32 displays the post-improvement graph on the display unit, so that the user can be motivated to take an improvement action in order to smoothly fall asleep at bedtime.

  The case has been described above where the graph generation unit 31 generates a prediction graph of time-dependent changes in condition and the display control unit 32 displays the prediction graph on the display unit of the information processing terminal 1. Here, as described above, the prediction graph is different from the prediction graph in the ideal state in which the user is sleeping well (that is, the graph shown by the template stored in the storage unit 2). , A graph modified according to the sleep data of the user. Therefore, it is difficult for the user to grasp the condition of the ideal state only by looking at the prediction graph generated by the graph generation unit 31.

  Therefore, the display control unit 32 may cause the display unit to display a score obtained by digitizing the condition of the user. Specifically, the score calculation unit 34 determines whether the user's condition is good or bad on the basis of the model of the prediction graph read from the storage unit 2 and the prediction graph after the display control unit 32 changes. The score shown is calculated, and the display control unit 32 displays the score on the display unit.

  As a specific example of the score calculation, the score calculation unit 34 first calculates the total sum T of the conditions at each time in the template of the prediction graph. Subsequently, the score calculation unit 34 calculates the total sum U of the conditions at each time in the prediction graph after the change by the display control unit 32. The score calculation unit 34 calculates a percentage (U / T × 100) indicating the ratio of U to T as a score indicating the quality of the user's day. The score calculation unit 34 may calculate, as a score, a value obtained by rounding a percentage (U / T × 100) indicating the ratio of U to T to an integer.

  FIG. 7 is a diagram schematically illustrating an example of a prediction graph to which the score calculated by the score calculation unit 34 is added. FIG. 7 shows an example in which the score calculated by the score calculation unit 34 is 80%. In the example shown in FIG. 7, the display control unit 32 displays the score together with the pie chart corresponding to the score numbers. By looking at the score, the user can see at a glance the level of the condition of the day.

  Further, the display control unit 32 may cause the display unit to display the template of the prediction graph read from the storage unit 2. In the example shown in FIG. 7, the graph indicated by a white bar is a prediction graph generated by the display control unit 32, and the graph indicated by a black bar is a graph corresponding to the template of the prediction graph. The display control unit 32 also causes the display unit to display the template of the prediction graph, so that the user can know his / her condition in a state where he / she can sleep well. Thereby, the information processing terminal 1 can provide the user with motivation for improving the sleep environment.

<Processing flow of information processing method executed by information processing terminal 1>
FIG. 8 is a flowchart for explaining the flow of information processing executed by the information processing terminal 1 according to the embodiment. The process in this flowchart starts, for example, when the information processing terminal 1 is activated.

  The receiving unit 30 receives the designation of the transition type of the user's condition from the information processing terminal 1 used by the user (S2). The reception unit 30 receives the sleep data of the user from the information processing terminal 1 used by the user (S4).

  The graph generation unit 31 generates a prediction graph showing the transition of the condition of the user in one day based on the transition type of the condition and the sleep data (S6). The display control unit 32 causes the display unit of the information processing terminal 1 to display the prediction graph generated by the graph generation unit 31 (S8).

  When the display control unit 32 causes the display unit to display the prediction graph, the processing in this flowchart ends.

<Effects of the information processing terminal 1 according to the embodiment>
As described above, according to the information processing terminal 1 according to the embodiment, it is possible to present the fluctuation of the user's condition in one day.

  Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist thereof. is there. For example, all or part of the apparatus can be functionally or physically distributed / integrated in arbitrary units. Further, a new embodiment that occurs due to an arbitrary combination of a plurality of embodiments is also included in the embodiment of the present invention. The effect of the new embodiment produced by the combination also has the effect of the original embodiment.

1 ... Information processing terminal 2 ... Storage unit 3 ... Control unit 30 ... Reception unit 31 ... Graph generation unit 32 ... Display control unit 33 ... Notification unit 34 ... Score Calculation unit 35: template acquisition unit

Claims (11)

On the computer,
A function that accepts specification of transition type of user's condition,
For each transition type of the condition, each time of day is a first axis, and the predicted value of the condition of the user corresponding to each time is a second axis. A function of reading a model of a prediction graph corresponding to the transition type of the user's condition from a storage unit storing the model;
A function of receiving a display instruction of the prediction graph from the user and sleep data that is a numerical value indicating information regarding sleep of the user ,
By changing the template of the prediction graph read from the storage unit based on the sleep data, a function of generating the prediction graph,
A function of displaying the prediction graph on the display unit upon receiving a display instruction of the prediction graph from the user,
A program that realizes. The function of generating the prediction graph generates the prediction graph on condition that the transition type is specified.
The program according to claim 1. A function of causing the display unit to display an icon indicating at least one of a time period in which the condition is relatively high and a time period in which the condition is relatively low in one day,
The program according to claim 1. On the computer,
A function for receiving notification settings related to the condition from the user,
A function of notifying the user of information related to the condition when the condition defined in the notification setting is satisfied,
The program according to any one of claims 1 to 3, which further realizes. On the computer,
Information indicating recommended actions to be taken by the user to maintain the condition shown in the prediction graph is displayed on the display unit in association with the time at which the recommended actions on the first axis of the prediction graph should be executed. To further realize the function to display,
The program according to any one of claims 1 to 4. On the computer,
Information indicating the improvement action to be taken by the user to improve the condition shown in the prediction graph is displayed on the display unit in association with the time at which the improvement action on the first axis of the prediction graph should be executed. The function to display,
A function of causing the display unit to display a prediction graph of the time change of the condition when the user takes the improvement action,
The program according to any one of claims 1 to 5, which further realizes. On the computer,
A function of calculating a score indicating the quality of the user's condition in the day based on the model of the prediction graph read from the storage unit and the changed prediction graph;
A function of displaying the score on the display unit,
The program according to any one of claims 1 to 6, which further realizes. The function of receiving the display instruction, from the terminal used by the user, as the sleep data, a numerical value indicating the bedtime, the sleep time, the awakening time, and the wakeup time of the user,
The program according to any one of claims 1 to 7 . The function of displaying further causes the display unit to further display a template of the prediction graph read from the storage unit,
The program according to any one of claims 1 to 8 . The processor
The step of accepting the designation of the transition type of the user's condition,
For each transition type of the condition, each time of day is a first axis, and the predicted value of the condition of the user corresponding to each time is a second axis. Reading a template of a prediction graph corresponding to the transition type of the user's condition from a storage unit that stores the template;
Receiving a display instruction of the prediction graph from the user, and sleep data that is a numerical value indicating information regarding sleep of the user ,
Changing the template of the prediction graph read from the storage unit based on the sleep data, to generate the prediction graph,
A step of displaying the prediction graph on a display unit upon receiving a display instruction of the prediction graph from the user,
Information processing method for executing. An information processing terminal,
A reception unit that receives the transition type specification of the user's condition,
For each transition type of the condition, each time of day is a first axis, and the predicted value of the condition of the user corresponding to each time is a second axis. A template acquisition unit that reads out a template of a prediction graph corresponding to the transition type of the user's condition from a storage unit that stores the template;
The receiving unit display instruction and the prediction graph from the user, further to accept any and sleep data is a numerical value indicating the information about the sleep of the user,
The information processing terminal,
By changing the template of the prediction graph read from the storage unit based on the sleep data, a graph generation unit that generates the prediction graph,
A display control unit for displaying the prediction graph on a display unit upon receiving a display instruction of the prediction graph from the user,
An information processing terminal further comprising:

Images