Behavior management support program, behavior management support device, behavior management support method, and recording medium

Abstract

To provide a behavior management support program that can support management of a lifestyle more suitable for an individual.SOLUTION: A behavior management support program of the present disclosure includes a reference acquisition procedure, an actual condition acquisition procedure, a target determination procedure, a mood acquisition procedure, a target correction procedure, and an output procedure. The reference acquisition procedure acquires references of health-related items. The actual condition acquisition procedure acquires a user's actual condition for the health-related items. The target determination procedure compares the references of the health-related items with the actual condition for the health-related items to determine a target for the user. The mood acquisition procedure acquires the user's mood. The target correction procedure determines a target correction value on the basis of the mood, and corrects the determined target for the user with the target correction value to create a corrected target. The output procedure outputs the corrected target to the user.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a behavior management support program, a behavior management support device, a behavior management support method, and a recording medium. [Background technology]

[0002] It is known that correcting health habits is effective in preventing recurrence of diseases such as atrial fibrillation. In recent years, a system has been known that aims to correct a patient's lifestyle habits and change undesirable health-related behaviors or maintain desirable health-related behaviors (Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2008-197699 A Summary of the Invention [Problem to be solved by the invention]

[0004] In managing lifestyle habits, it is important to set and manage daily behavioral goals. However, humans have different motivations and tolerances for daily behavior due to various factors such as the environment, one's own physical condition, and mood. For this reason, it is not always possible to achieve the behavioral goals initially set. In addition, there are not enough human resources to provide sequential care taking into account the different environments, physical conditions, and moods of each individual, making it unrealistic.

[0005] Therefore, an object of the present disclosure is to provide a behavior management support program, a behavior management support device, a behavior management support method, and a recording medium that can support lifestyle habit management that is more suited to an individual. [Means for solving the problem]

[0006] In order to achieve the above object, the behavior management support program disclosed herein comprises: The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step. The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; The output step outputs the correction target to a user. The action management support program causes a computer to execute each of the steps.

[0007] The behavior management support device of the present disclosure comprises: The system includes a reference acquisition unit, a status acquisition unit, a goal determination unit, a mood acquisition unit, a goal correction unit, and an output unit, The standard acquisition unit acquires standards for health-related items, The status acquisition unit acquires a status of a health-related item of the user, the goal determination unit determines a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition unit acquires a mood of a user, the target correction unit determines a target correction value based on the mood, and generates a corrected target by correcting the determined user's target with the target correction value; The output unit outputs the correction target to a user.

[0008] The behavior management support method of the present disclosure includes: The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step, The standard acquisition step acquires standards for health-related items, The actual state acquisition step acquires an actual state of a health-related item of the user, The goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, The goal correction step includes determining a goal correction value based on the mood, and generating a corrected goal by correcting the determined user goal with the goal correction value; The output step outputs the correction target to a user. Each of the steps is a computer-implemented method.

[0009] The recording medium of the present disclosure includes a reference acquisition procedure, a status acquisition procedure, a goal determination procedure, a mood acquisition procedure, a goal correction procedure, and an output procedure, The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; the output step outputs the correction target to a user; The present invention is a computer-readable recording medium having recorded thereon a behavior management support program for causing a computer to execute each of the above procedures. Effect of the Invention

[0010] According to the present disclosure, it is possible to support lifestyle management that is more suited to each individual. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of a behavior management support device according to the present disclosure. [Diagram 2] FIG. 2 is a block diagram showing an example of a hardware configuration of the behavior management support device of the present disclosure. [Diagram 3] FIG. 3 is a flowchart showing an example of a procedure according to the behavior management support program of the present disclosure. [Figure 4] FIG. 4 is a block diagram showing a configuration of an example of a behavior management support device according to the present disclosure. [Diagram 5] FIG. 5 is a flowchart showing an example of a procedure according to the behavior management support program of the present disclosure. [Figure 6] FIG. 6 is a block diagram showing a configuration of an example of a behavior management support device according to the present disclosure. [Figure 7] FIG. 7 is a flowchart showing an example of a procedure according to the behavior management support program of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, the embodiments of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiments. In each of the following drawings, the same parts are given the same reference numerals. In addition, the explanations of each embodiment can be mutually incorporated unless otherwise specified, and the configurations of each embodiment can be combined unless otherwise specified. In this disclosure, each drawing can apply to one or more embodiments.

[0013] The behavior management support program (behavior management support device and behavior management support method) of the present disclosure can be used for behavior management according to a desired purpose, for example, and can be used to support cognitive behavioral therapy. The behavior management support program (behavior management support device and behavior management support method) of the present disclosure is effective when used to support cognitive behavioral therapy, because it enables a behavior change approach that takes into account the inner mood of the user, the patient. In addition, for example, atrial fibrillation is recognized to be related to lifestyle habits, and the comprehensive atrial fibrillation care (ABC approach) proposed in the European Society of Cardiology atrial fibrillation guidelines lists lifestyle correction as one of the three pillars. In addition, it is considered that recurrence of catheter ablation for atrial fibrillation can be suppressed with a high probability by improving lifestyle habits. However, it is difficult to perform patient management in accordance with the guidelines in terms of human and time resources, and the current situation is that sufficient care is not being provided. In addition, improving lifestyle habits through the efforts of individual patients has difficulties in terms of continuity, etc. Therefore, the behavior management support program (behavior management support device and behavior management support method) disclosed herein can be used particularly effectively in preventing the recurrence of atrial fibrillation, for example.

[0014] [Embodiment 1] The behavior management support program of the present disclosure is a program for causing a computer to execute a reference acquisition procedure, a status acquisition procedure, a goal determination procedure, a mood acquisition procedure, a goal correction procedure, and an output procedure. The behavior management support program of the present disclosure can also be said to be a program for causing a computer to function as a reference acquisition procedure, a status acquisition procedure, a goal determination procedure, a mood acquisition procedure, a goal correction procedure, and an output procedure. The behavior management support program of the present disclosure can also be said to be a program for causing a computer to execute, for example, each step of a behavior management support method described below.

[0015] The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; The output step outputs the correction target to a user.

[0016] In each of the steps, for example, "step" can be read as "processing". The behavior management support program of the present disclosure may be recorded in a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read only memory (ROM), hard disk (HD), flash memory (for example, SSD (Solid State Drive), USB flash memory, SD / SDHC card, etc.), optical disk (for example, CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy (registered trademark) disk (FD), etc. The behavior management support program of the present disclosure (for example, also referred to as a programming product or program product) may be, for example, distributed from an external computer. The "distribution" may be, for example, distribution via a communication line network or distribution via a device connected by wire. The behavior management support program of the present disclosure may be installed and executed on the device to which it is distributed, or may be executed without being installed. An information processing device capable of executing the behavior management support program of the present disclosure can be referred to as, for example, the behavior management support device of the present disclosure.

[0017] Next, the configuration of an example of a behavior management support device of the present disclosure will be described with reference to FIG. 1. FIG. 1 is a block diagram showing an example of the configuration of a behavior management support device 10 of the present disclosure (hereinafter, also referred to as the present device 10). As shown in FIG. 1, the present device 10 includes a reference acquisition unit 11, a status acquisition unit 12, a goal determination unit 13, a mood acquisition unit 14, a goal correction unit 15, and an output unit 16. In addition, the present device 10 may include, for example, an input unit, an output unit, a display unit, and / or a storage unit, although not shown. The reference acquisition unit 11, the status acquisition unit 12, the goal determination unit 13, the mood acquisition unit 14, the goal correction unit 15, and the output unit 16 can respectively execute, for example, a reference acquisition procedure, a status acquisition procedure, a goal determination procedure, a mood acquisition procedure, a goal correction procedure, and an output procedure in the behavior management support program of the present disclosure.

[0018] The device 10 may be, for example, a single device including each of the above-mentioned units, or a device to which each of the above-mentioned units can be connected via a communication line network. The device 10 may be connected to an external device described later via the communication line network. The communication line network is not particularly limited, and a known network may be used, for example, wired or wireless. Examples of the communication line network include an Internet line, a World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), a Local 5G, and a LPWA. Examples of the wireless communication may include a form in which each device directly communicates with each other (Ad Hoc communication), an infrastructure (infrastructure communication), and an indirect communication via an access point. The device 10 may be incorporated into a server as a system, for example. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop type or notebook type) in which the program of the present disclosure is installed, a smartphone, a tablet terminal, or the like. The present device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned units is on a server and the other units are on a terminal. When the present device 10 is composed of multiple devices, the present device 10 is also referred to as, for example, a behavior management support system.

[0019] 2 illustrates a block diagram of a hardware configuration of the present device 10. The present device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, a communication device 107, etc. Each part of the present device 10 is connected to each other via the bus 103 by each interface (I / F).

[0020] The central processing unit 101 cooperates with other components through a controller (such as a system controller or an I / O controller) and controls the entire device 10. In the device 10, the central processing unit 101 executes, for example, the program of the present disclosure (the behavior management support program) and other programs, and also reads and writes various information. Specifically, for example, the central processing unit 101 functions as a reference acquisition unit 11, a status acquisition unit 12, a goal determination unit 13, a mood acquisition unit 14, a goal correction unit 15, and an output unit 16. The device 10 may include other calculation units such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these as a calculation unit.

[0021] The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device (external database, etc.), a printer, an external input device, an external display device, an external imaging device, etc. The present device 10 can be connected to an external network (the above-mentioned communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.

[0022] An example of the memory 102 is a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operation programs, such as the program of the present disclosure, stored in the storage device 104 described below, and the central processing unit 101 receives data from the memory 102 and executes the program. The main memory is, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0023] The storage device 104 is also called an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive for reading and writing from and to the recording medium. The recording medium is not particularly limited, and may be, for example, an internal or external type, such as a HD (hard disk), a CD-ROM, a CD-R, a CD-RW, an MO, a DVD, a flash memory, a memory card, and the like. The storage device 104 may be, for example, a hard disk drive (HDD) in which a recording medium and a drive are integrated, and a solid state drive (SSD). When the present device 10 includes the storage unit, for example, the storage device 104 functions as the storage unit. The storage unit can store, for example, information of the user of the present device (name, identification number, attribute information (gender, age, organization, address, contact information, hobbies, preferences, etc.), biological information, etc.), health-related items, standards, goals, actual conditions, moods, correction goals, and the like.

[0024] In the present device 10, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information on the user of the present device. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be distributed and stored in multiple terminals using block chain technology or the like.

[0025] The device 10 further includes, for example, an input device 105 and an output device 106. The input device 105 may be, for example, a pointing device such as a touch panel, a track pad, or a mouse; a keyboard; an imaging means such as a camera or a scanner; a card reader such as an IC card reader or a magnetic card reader; and an audio input means such as a microphone. The output device 106 may be, for example, a display device such as an LED display or a liquid crystal display; an audio output device such as a speaker; a printer; or the like. In the first embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.

[0026] An example of processing by the behavior management support program of the present disclosure will be described in more detail with reference to Fig. 3. Fig. 3 is a flowchart showing an example of each procedure of the behavior management support program of the present disclosure. In the following description, an example will be described in which the behavior management support program of the present disclosure is installed on a user's smartphone and the smartphone is used as the behavior management support device of the present disclosure, but the present disclosure is not limited to the following example.

[0027] The standard acquisition unit 11 acquires standards for health-related items (S1, standard acquisition step). The "health-related items" are, for example, items related to the user's health (lifestyle habits, vital data (biological information), etc.). The health-related items are not particularly limited, and for example, appropriate items can be set according to the purpose of behavior management, etc. Specific examples of the health-related items include items related to lifestyle habits such as exercise, diet, sleep, and preferences (eg, drinking, smoking), and items related to vital data such as weight and blood pressure. The standards for the health-related items include, for example, guidelines for lifestyle habits recommended to the user and reference values ​​for vital data, which are set for each health-related item from the viewpoint of the user's health. As specific examples, standards regarding a user's lifestyle habits may include standards regarding exercise, such as whether or not the user exercises and the level of exercise; standards regarding food, such as the amount, type, and quality of food (e.g., balance of nutritional components (e.g., sugar, fat, salt, protein, vitamins, dietary fiber, minerals, etc.)) and whether or not the user eats out; standards regarding sleep, such as sleep duration, time of falling asleep, time of waking up, and quality of sleep; standards regarding smoking, such as whether or not the user smokes and how often the user smokes; standards regarding drinking, such as whether or not the user drinks alcohol, the amount and frequency of the alcohol consumed; etc. The standards related to the vital data include, for example, standards related to weight, such as actual measured weight and change in weight from the current state; standards related to body composition, such as body fat percentage and skeletal muscle percentage; standards related to blood pressure, such as actual measured blood pressure and change in blood pressure from the current state; and so on. The criteria for the health-related items may be set to the same criteria for each user, or different criteria may be set for each user. In the latter case, each criterion may be set based on the attributes of the user (e.g., age, sex, medical history, disease status, etc.). The criteria for the health-related items may be, for example, values ​​that are set in advance or values ​​that are set by the device 10 . In the former case, the standards for the health-related items are preferably set based on publicly known information. The publicly known information is not particularly limited and any information can be used, but for example, a published paper showing a scientific basis is preferable. Also, without being limited thereto, the standards may be set by medical professionals such as doctors or pharmacists. When multiple standards for the health-related items are set, the standard acquisition unit 11 can acquire the standard for each of the multiple health-related items. The standard acquisition unit 11 can acquire the standard stored in the memory 102 or storage device 104 of the device 10, for example, or can acquire the standard stored in an external server or external storage device.

[0028] The device 10 may output the acquired standards for the health-related items to the user, for example, by the output unit 16 described later. This allows the user to obtain knowledge about standards for the health-related items that are necessary for the user, for example.

[0029] The status acquisition unit 12 acquires the status of the health-related items of the user (S2, status acquisition step). When criteria for a plurality of health-related items are set, the actual situation acquisition unit 12 may, for example, acquire the actual situation of the user for each of the plurality of health-related items. The actual situation acquisition unit 12 may, for example, acquire the actual situation of the health-related items based on an input to the input device 105. The actual situation acquisition unit 12 may also acquire the actual situation of the health-related items based on, for example, a response between a chatbot and a user. In this case, the actual situation acquisition unit 12 may, for example, acquire the actual situation of the health-related items based on a question about the actual situation of the health-related items generated by the chatbot and the user's answer to the question. In this case, the actual situation acquisition unit 12 may, for example, acquire, as the answer, a user's selection of an answer candidate generated by the chatbot, or may acquire input information of the user to the chatbot. The chatbot may, for example, be a part of the configuration of the present device 10, or may be a configuration outside the device (chat generation server). In the latter case, the actual state acquisition unit 12 may, for example, communicate with the chat generation server, acquire a chat log, and analyze the acquired chat log to acquire the actual state of the health-related item, or may acquire the actual state of the health-related item from the chat generation server.

[0030] The chatbot may be, for example, a scenario-type (rule-based) chatbot or an AI-type chatbot.

[0031] The scenario-based chatbot can generate questions and answer candidates related to the actual state of the health-related item by using, for example, a script used in a conventionally known chatbot. The script is, for example, information that defines a response flow (scenario) of the chatbot. The script is defined to generate questions and answer candidates related to the actual state of the health-related item by using, for example, the criteria of the health-related item as a keyword. The script may first specify, as the first question and answer, a question inquiring about the health-related item (for example, "What do you want to know about?") and answer candidates answering the health-related item (for example, options of "exercise", "body weight", "blood pressure", "body weight", "favorites", and "sleep"). In this case, the chatbot can select the scenario by using, for example, the health-related item answered by the answer candidates as a keyword, and determine the questions and answer candidates to be output to the user based on the selected scenario. The script may be stored, for example, in the memory 102 or storage device 104 of the present device 10, or in an external database.

[0032] The AI ​​chatbot may be, for example, a machine learning chatbot, a deep learning chatbot, or a chatbot constructed using a large language model (LLM). Examples of chatbots constructed using the large language model include ChatGPT by Open AI, Bing by Microsoft, and Bard by Google (Alphabet). In this case, the device 10, for example, inputs the goal of the health-related item to the AI ​​chatbot, and allows the user to create a question regarding the actual state of the goal and its answer candidates. Specifically, for example, when the goal of the health-related item is input to the AI ​​chatbot as a prompt, a constraint is imposed so that a question regarding the actual state of the goal of the health-related item and its answer candidates are generated, and the AI ​​chatbot is subjected to few shot learning. As a result, the response information generation unit 11 can input the goal of the health-related item to the AI ​​chatbot, thereby causing the AI ​​chatbot to generate a question regarding the actual state of the goal of the health-related item and its answer candidates.

[0033] As a specific example, an example of fine-tuning an AI chatbot (GPT-3) will be described, but the present disclosure is not limited to the following example. First, when a prompt "average sleep time is 6 hours" is given to GPT-3, the endpoint "Your sleep is not enough" is output, and when a prompt "How can I improve my sleep habits?" is given, data is given so that the endpoint "Stop drinking before bedtime, search for coexisting diseases (sleep apnea syndrome, etc.)" is output, and few shot learning is performed. As a result, for example, when "sleep time" is input as a user's health-related item (sleep), a question "Please enter your bedtime and wake-up time" can be output. Then, the user responds to the question with "Bedtime 11:20PM, wake-up time 08:20AM". In this case, the actual situation acquisition unit 12 can acquire, for example, that the actual situation of the user is "sleep time 7 hours" for the health-related item (sleep) identified from the question.

[0034] The goal determination unit 13 compares the criteria and the actual state of the health-related items to determine the goals of the user (S3, goal determination step). The health goal determination unit 13, for example, compares the criteria and the actual state for each of the multiple health-related items to determine the goals of the user. The goal determination unit 13 may, for example, compare the standard and the actual situation for each health-related item and determine a goal to fill the gap between the standard and the actual situation, or may compare the standard and the actual situation and, if the actual situation does not satisfy the standard, determine the standard as the user's goal. As a specific example, if the user's sleep-related standard is "sleep time: 8 hours" and the user's actual sleep situation is "sleep time: 7 hours," the user's goal for sleep time can be determined to be "sleep time + 1 hour." Furthermore, for example, if the standard for the health-related item (exercise) is set as "30 minutes of exercise / day, 3 to 4 days / week," and the user's actual situation is "30 minutes of exercise / day, 1 day / week," the user's exercise goal can again be determined to be "30 minutes of exercise / day, 3 to 4 days / week."

[0035] The mood acquisition unit 14 acquires the mood of the user (S4, mood acquisition step). The mood acquisition unit 14 can acquire the mood of the user based on, for example, an input to the input device 105. The "mood" is not particularly limited, and for example means the user's "emotional state that continues for a certain period of time. The mental and physical feeling at a certain time" (Iwanami Japanese Dictionary, 8th Edition). The mood may be, for example, qualitative information (how the mood was) or quantitative information. The quantitative information may be, for example, the mood index of the user. The mood index is information indicating the level of the user's mood, and may be, for example, an index of 2 levels, 3 levels, 4 levels, 5 levels, etc. Also, the mood may be, for example, the current mood or the mood for a predetermined period of time. The mood acquisition unit 14 can acquire the user's mood by, for example, displaying a button (for example, a radio button) inquiring about the user's mood on the output device 106 (for example, a display) and acquiring the user's selection. Furthermore, the mood acquisition unit 14 may acquire the mood, for example, based on a response between a chatbot and a user. The chatbot is as described above, and is similar except that the chatbot is configured to generate a question about the user's mood and an answer candidate corresponding to the question. The mood acquisition unit 14 may acquire the user's mood, for example, based on a question about the user's mood generated by the chatbot and the user's answer to the question. In this case, the user's selection of the user's answer candidate generated by the chatbot may be acquired, or input information of the user to the chatbot may be acquired. The mood acquisition unit 14 may further acquire, for example, an anxiety index of the user. The anxiety index is an index indicating the degree of anxiety of the user, and may be acquired, for example, on a scale of 0 to 100.

[0036] The target correction unit 15 determines a target correction value based on the mood, and generates a corrected target by correcting the determined user's target with the target correction value (S5, target correction step). The target correction value is, for example, a coefficient associated with the mood. The target correction value is not particularly limited and can be set to any value. As a specific example, when the user's mood is in three stages of "good", "normal", and "bad", the target correction value can be set to, for example, good: 100%, normal: 80%, bad: 50%, etc., but is not limited to this example. The target correction value is preferably stored in the storage device 104 of the device 10 in association with, for example, the mood or the mood index. The target correction unit 15 can determine the target correction value based on, for example, the mood, and generate a corrected target by correcting the determined user's target with the target correction value for each health-related item.

[0037] Then, the output unit 16 outputs the correction target to the user (S6, output step). The output by the output unit 16 is not particularly limited, and for example, the correction target may be output to an output device (for example, a display, a speaker) 105, or the correction target may be output to an external device (for example, a wearable device, a printer, etc.) that the user can confirm via a communication device 107. In at least one of S2 and S4, when information is acquired based on a response between a chatbot and a user, the output unit 16 can present the correction target in a chat format, for example. The output unit 16 may output information that recommends a mental activity to the user based on the anxiety index, for example. Examples of the mental activity include yoga and mindfulness. In this case, the output unit 16 can output information that recommends the mental activity when the anxiety index is equal to or lower than a threshold value. The threshold value is not particularly limited, and for example, the anxiety index is equal to or higher than 75, but is not limited thereto.

[0038] The device 10 may set the correction target generated in S5 as the standard of the user's health-related items. In this way, for example, when the same user continues to use the device 10, the standard of the health-related items acquired in step S1 can be set as a correction target corrected to suit the user, so that an appropriate standard can be used for each user, and lifestyle management suited to each individual can be supported.

[0039] In this embodiment, an example in which S1 to S6 are executed sequentially has been described, but the behavior management support program of the present disclosure is not limited to this. The behavior management support program of the present disclosure only needs to execute S1 to S4 upstream of S5, for example, and S1 to S4 may be executed simultaneously or sequentially, and in the latter case, the order of execution is arbitrary.

[0040] The behavior management support method of the present disclosure is, for example, a method implemented by replacing each "procedure" in the behavior management support program of the present disclosure with a "step". Specifically, the behavior management support method of the present disclosure includes a standard acquisition step, a status acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step, in which the standard acquisition step acquires a standard for a health-related item, the status acquisition step acquires the status of the user's health-related item, the goal determination step compares the standard and the status of the health-related item to determine the user's goal, the mood acquisition step acquires the user's mood, the goal correction step determines a goal correction value based on the mood, corrects the determined user's goal with the goal correction value to generate a corrected goal, and the output step outputs the corrected goal to the user. The behavior management support method of the present disclosure can be implemented, for example, using the behavior management support device 10 of the present disclosure shown in FIG. 1 or FIG. 2. Note that the behavior management support method of the present disclosure is not limited to a method using, for example, the behavior management support device 10. The behavior management support method of the present disclosure can incorporate, for example, the descriptions of the behavior management support program and behavior management support device of the present disclosure.

[0041] The behavior management support program of the present disclosure can, for example, output to the user a corrected goal obtained by correcting the goal of a health-related item in consideration of the user's mood. When performing cognitive behavioral therapy for the health-related item, if the goal is simply indicated without considering the user's mood, the user's motivation cannot be maintained, and it is difficult to bring about actual behavioral change. In contrast, the behavior management support program (behavior management support device, behavior management support method) of the present disclosure enables a behavioral change approach that takes into account the internal mood of the user, i.e., the patient, and is therefore effective when used to support cognitive behavioral therapy.

[0042] The behavior management support program (behavior management support device and behavior management support method) of the present disclosure can be used, for example, to support cognitive behavioral therapy, and can be used to prevent lifestyle-related diseases and atrial fibrillation. In the present disclosure, "lifestyle-related diseases" is a general term for diseases that are deeply related to lifestyle habits such as diet, exercise, rest, smoking, and drinking, and that are the cause of their onset. Specific examples of the lifestyle-related diseases are not particularly limited, and include, for example, so-called metabolic syndrome; diseases related to dietary habits such as non-insulin-dependent diabetes mellitus, obesity, hyperlipidemia (excluding familial), hyperuricemia, cardiovascular disease (excluding congenital), colon cancer (excluding familial), and periodontal disease; diseases related to exercise habits such as non-insulin-dependent diabetes mellitus, obesity, hyperlipidemia (excluding familial), and hypertension; diseases related to smoking habits such as lung squamous cell carcinoma, cardiovascular disease (excluding congenital), chronic bronchitis, emphysema, and periodontal disease; and diseases related to drinking habits such as alcoholic liver disease. Also, for example, atrial fibrillation is recognized to be related to lifestyle habits, and the comprehensive atrial fibrillation care (ABC approach) proposed in the European Society of Cardiology atrial fibrillation guidelines lists lifestyle modification as one of the three pillars. It is also considered that by improving lifestyle habits, it is possible to suppress the recurrence of catheter ablation for atrial fibrillation with a high probability. However, it is difficult to perform patient management in accordance with the guidelines in terms of human and time resources, and the current situation is that sufficient care is not being provided. In addition, improving lifestyle habits through the efforts of individual patients has difficulties in terms of continuity, etc. For this reason, the behavior management support program (behavior management support device and behavior management support method) disclosed herein can be used particularly effectively for the prevention of atrial fibrillation, for example. In addition, in this disclosure, "prevention" may be, for example, prevention of onset of a disease to prevent the onset of the disease, prevention of aggravation to prevent the condition of a patient suffering from the disease from worsening, or prevention of recurrence.

[0043] [Embodiment 2] Another example of the behavior management support program of the present disclosure will be described.

[0044] The behavior management support program of this embodiment is similar to the behavior management support program of the first embodiment, except that, for example, in addition to the configuration of the behavior management support program of the first embodiment, it includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, and the description thereof can be used. The behavior management support program of this embodiment includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, the difficulty level acquisition step acquires a user's difficulty level for a goal for each health-related item, the motivation acquisition step acquires the user's motivation for a goal for each health-related item, the priority level calculation step calculates a priority level for each health-related item based on the actual situation, the corrected goal, the difficulty level, and the motivation for each health-related item, and the output step outputs the corrected goal to a user based on the priority level.

[0045] Next, the behavior management support device of this embodiment will be described with reference to Fig. 4. The behavior management support device 10A of the present disclosure is similar to the behavior management support device 10 of the first embodiment, except that it includes a user information recording unit 15 in addition to the configuration of the behavior management support device 10 of the first embodiment, and the description thereof can be used. The behavior management support program of this embodiment includes a difficulty level acquisition unit 17, a motivation acquisition unit 18, and a priority calculation unit 19. The difficulty level acquisition unit 17, the motivation acquisition unit 18, and the priority calculation unit 19 are capable of executing, for example, a difficulty level acquisition procedure, a motivation acquisition procedure, and a priority calculation procedure in the behavior management support program of the present disclosure, respectively.

[0046] As shown in Fig. 4, the behavior management support device 10A includes a difficulty level acquisition unit 17, a motivation acquisition unit 18, and a priority calculation unit 19 in addition to the configuration of the behavior management support device 10 of embodiment 1. The hardware configuration of the behavior management support device 10A is the same as that of the behavior management support device 10 of Fig. 2, except that the central processing unit 101 includes the configuration of the behavior management support device 10A of Fig. 4 instead of the configuration of the behavior management support device 10 of Fig. 1.

[0047] An example of processing by the behavior management support program of the present disclosure will be described in more detail with reference to Fig. 5. Fig. 5 is a flowchart showing an example of each procedure of the behavior management support program of the present disclosure. In the following description, an example will be described in which the behavior management support program of the present disclosure is installed on a user's smartphone and the smartphone is used as the behavior management support device of the present disclosure, but the present disclosure is not limited to the following example.

[0048] First, steps S1 to S5 are carried out in the same manner as steps S to S5 in the first embodiment.

[0049] The difficulty level acquisition unit 17 acquires, for example, the user's level of difficulty for the goal for each health-related item (S11, difficulty level acquisition step). The degree of difficulty is, for example, information on the degree of difficulty that the user himself / herself assumes for achieving the goal or standard of each health-related item. The degree of difficulty may be, for example, qualitative information (for example, whether or not the user thinks it is difficult) or quantitative information. The quantitative information may be, for example, a difficulty index. The difficulty index is information indicating the level of difficulty of achieving the goal or standard of a health-related item as envisioned by the user, and may be, for example, an index of 2 levels, 3 levels, 4 levels, 5 levels, etc. The difficulty level acquisition unit 17 may acquire the difficulty level by, for example, displaying on the output device 106 (for example, a display) a button (for example, a radio button) for inquiring about the user's difficulty for the goal or standard of each health-related item, and acquiring the user's selection.

[0050] The motivation acquisition unit 18 acquires, for example, the user's motivation for the goal for each health-related item (S12, motivation acquisition step). The motivation is, for example, information on the motivation (also called enthusiasm or motivation) that the user himself has for achieving goals or standards in various health-related items. The motivation may be, for example, qualitative information (eg, whether or not there is motivation) or quantitative information. The quantitative information may be, for example, a motivation index. The motivation index is information indicating the level of motivation for achieving the user's own goals or standards for health-related items, and may be, for example, an index of 2 levels, 3 levels, 4 levels, 5 levels, etc. The motivation acquisition unit 18 may acquire the motivation by, for example, displaying on the output device 106 (for example, a display) a button (for example, a radio button) for inquiring about the user's degree of difficulty for the goals or standards for each health-related item, and acquiring the user's selection.

[0051] The priority calculation unit 19 calculates a priority for each of the health-related items based on, for example, the actual state, the corrected goal, the degree of difficulty, and the motivation for each of the health-related items (S13, priority calculation step). First, the priority calculation unit 19 determines the degree of necessity of the health-related item based on, for example, the actual state and the correction target. Specifically, the priority calculation unit 19 compares, for example, the actual state and the correction target for each health-related item. Then, the priority calculation unit 19 can determine the priority according to, for example, the difference between the actual state and the correction target. As a specific example, the priority calculation unit 19 can determine the degree of necessity as 1 when the actual state exceeds the correction target, the degree of necessity as 2 when the actual state and the correction target are equal, and the degree of necessity as 3 when the actual state does not achieve the correction target. Next, the priority calculation unit 19 can calculate the priority of each health-related item by correcting the degree of necessity using the difficulty and motivation for each health-related item. As a specific example, the priority calculation unit 19 can calculate the priority based on, for example, the following formula (1). Priority = Necessity - Difficulty Index / Motivation Index……(1)

[0052] The output unit 16 outputs the correction target to the user based on the priority (S6, output step). The output unit 16 may output the correction target with the highest priority to the user, may output a plurality of correction targets in the order of priority, or may output a correction target with the priority equal to or higher than a threshold. The threshold is not particularly limited and may be set to any value.

[0053] In this embodiment, an example in which S1 to S5, S11 to S13, and S6 are executed in sequence has been described, but the behavior management support program of the present disclosure is not limited to this. The behavior management support program of the present disclosure only needs to execute S1 to S5 and S11 to S13 upstream of S6, for example, and S1 to S5 and S11 to S13 may be executed simultaneously or sequentially, and in the latter case, the order of execution is arbitrary.

[0054] The behavior management support method of the present disclosure is, for example, a method implemented by replacing each "procedure" in the behavior management support program of the present disclosure with a "step". Specifically, the behavior management support method of the present disclosure is, for example, the behavior management support method of the first embodiment, further including a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, in which the difficulty level acquisition step acquires the user's difficulty level for the goal for each health-related item, the motivation acquisition step acquires the user's motivation for the goal for each health-related item, the priority level calculation step calculates a priority level for each health-related item based on the actual state, the corrected goal, the difficulty level, and the motivation for each health-related item, and the output step outputs the corrected goal to the user based on the priority level. Note that the behavior management support method of the present disclosure is not limited to, for example, a method using the behavior management support device of the present disclosure. For example, the description of the behavior management support program and the behavior management support device of the present disclosure can be used for the behavior management support method of the present disclosure.

[0055] The behavior management support program disclosed herein can calculate a priority level for each health-related item taking into account the level of difficulty and motivation through a priority level calculation procedure, and output a corrected target based on the priority level. Therefore, the behavior management support program disclosed herein can support behavior management taking into account the level of difficulty and motivation of the user himself / herself. For this reason, for example,

[0056] [Embodiment 3] Another example of the behavior management support program of the present disclosure will be described.

[0057] The behavior management support program of this embodiment is similar to the behavior management support program of the first embodiment, except that it includes a recording step in addition to the configuration of the behavior management support program of the first embodiment, and the description thereof can be used. The behavior management support program of this embodiment includes a recording step, which records at least one selected from the group consisting of the actual state, the mood, and the correction goal as user history information for each health-related item, and the output step generates viewing information from the user history information and outputs the viewing information.

[0058] Next, the behavior management support device of this embodiment will be described with reference to Fig. 6. The behavior management support device 10B of the present disclosure is similar to the behavior management support device 10 of the first embodiment, except that it includes a recording unit 20 in addition to the configuration of the behavior management support device 10 of the first embodiment, and the description thereof can be used. The behavior management support program of this embodiment includes the recording unit 20. The recording unit 20 is capable of executing, for example, the recording procedure in the behavior management support program of the present disclosure.

[0059] As shown in Fig. 6, the behavior management support device 10B includes a recording unit 20 in addition to the configuration of the behavior management support device 10 of embodiment 1. The hardware configuration of the behavior management support device 10B is the same as that of the behavior management support device 10 of Fig. 2, except that the central processing unit 101 includes the configuration of the behavior management support device 10B of Fig. 6 instead of the configuration of the behavior management support device 10 of Fig. 1.

[0060] An example of processing by the behavior management support program of the present disclosure will be described in more detail with reference to Fig. 7. Fig. 7 is a flowchart showing an example of each procedure of the behavior management support program of the present disclosure. In the following description, an example will be described in which the behavior management support program of the present disclosure is installed on a user's smartphone and the smartphone is used as the behavior management support device of the present disclosure, but the present disclosure is not limited to the following example.

[0061] First, steps S1 to S6 are carried out in the same manner as steps S1 to S6 in the first embodiment.

[0062] The recording unit 20 records at least one selected from the group consisting of the actual state, the mood, and the correction goal for each of the health-related items as user history information (S21, recording step). The recording unit 20 may record the user history information in, for example, the memory 102 or the storage device 104 of the device 10B, or may record the user history information in an external storage device or an external server outside the device 10C.

[0063] Then, the output unit 16 generates viewing information from the user history information, for example, and outputs the viewing information (S22, output step). The viewing information is information that is shaped so as to be able to visualize the user history information. As a specific example, the viewing information may be, for example, a graph that visualizes the progress of the actual state, standard, correction target, etc., of each of the health-related items, an average value of the actual state for a predetermined period, etc.

[0064] In this embodiment, an example in which S1 to S6 and S21 to S22 are executed in sequence has been described, but the behavior management support program of the present disclosure is not limited to this. The behavior management support program of the present disclosure only needs to execute S1 to S5 upstream of S6, for example, and S1 to S5 may be executed simultaneously or sequentially, in which case the execution order is arbitrary. Furthermore, S1 to S6 and S21 to S22 may be executed simultaneously or sequentially, in which case the execution order is arbitrary.

[0065] The behavior management support method of the present disclosure is, for example, a method implemented by replacing each "procedure" in the behavior management support program of the present disclosure with a "step". Specifically, the behavior management support method of the present disclosure is, for example, the behavior management support method of the first embodiment, further including a recording step, in which at least one selected from the group consisting of the actual state, the mood, and the correction goal is recorded as user history information for each health-related item, and the output step generates viewing information from the user history information and outputs the viewing information. Note that the behavior management support method of the present disclosure is not limited to, for example, a method using the behavior management support device of the present disclosure. For example, the description of the behavior management support program and the behavior management support device of the present disclosure can be used for the behavior management support method of the present disclosure.

[0066] The behavior management support program disclosed herein can record user history information by a recording procedure, and generate and output information for viewing from the user history information. This allows the user to realize the progress of his / her own behavior management. In addition, even if a doctor instructs a patient to improve their lifestyle habits in a medical setting, the patient does not necessarily follow the instruction to improve their lifestyle habits, and the patient can only be asked about the user's lifestyle habits at the next interview. In contrast, if a patient uses the behavior management support program disclosed herein, the patient can record the actual situation, the mood, the correction goal, etc. for each health-related item as user history information, and output these as information for viewing. Therefore, at the next consultation, the doctor can view not only the interview but also the information for viewing output by the behavior management support program, making it possible to formulate a more effective treatment plan.

[0067] Example 1 An example of a usage form of the behavior management support program of the present disclosure will be described. In the following description, a case will be described in which the behavior management support program of the present disclosure is installed in a user's smartphone and the smartphone is used as a behavior management support device of the present disclosure, but the present disclosure is not limited to the following example. In the following description, a case will be described in which the user is a patient with atrial fibrillation and manages lifestyle habits to prevent recurrence after undergoing catheter ablation radical surgery for treatment, but the present disclosure is not limited to the following example.

[0068] First, when examining patient A, a doctor sets a standard for the health-related item "exercise" as "30 minutes / day, 3-4 times a week." The device 10 acquires the set standard as the standard for the health-related item of patient A. Then, the device 10 presents to patient A a question inquiring about the actual state of the health-related item (exercise) (e.g., "Your exercise goal for this week was '30 minutes / day, 3-4 times a week,' right? How was it?") and corresponding answer candidates (e.g., (1) 30 minutes / day, 4 times or more a week; (2) 30 minutes / day, less than 4 times a week; 15 minutes / day, 4 times or more a week; (3) I couldn't exercise) using the standard for the health-related item ("30 minutes / day, 3-4 times a week") as a keyword. Based on the answer of the patient A (for example, (2) 30 minutes / day exercise, less than 3-4 times a week, 15 minutes / day exercise, 3-4 times or more a week), the device 10 obtains that the actual exercise situation of the patient A is "(2) 30 minutes / day exercise, less than 3-4 times a week, 15 minutes / day exercise, 3-4 times or more a week." Next, the device 10 compares the actual situation with the standard, and again determines "30 minutes / day exercise, 3-4 days / week" as the goal of the patient A. Next, the device 10 presents patient A with a question inquiring about patient A's mood (e.g., "It seems like you weren't able to exercise much. Are you feeling unwell because of post-operative pain?" and corresponding answer candidates ((1) feeling good, (2) feeling normal, (3) feeling unwell), obtains patient A's answer (e.g., (3) feeling unwell), and obtains that patient A is "feeling unwell" based on the answer. The device 10 then generates a corrected goal "exercise 15 minutes / day, 2 days / week" by correcting the goal "exercise 30 minutes / day, 4 days / week" based on the goal correction value: 50% linked to the "feeling unwell", and outputs the corrected goal "exercise 15 minutes / day, 2 days / week" to patient A.

[0069] Example 2 Another embodiment of the usage form of the behavior management support program of the present disclosure will be described. In the following description, a case will be described in which the behavior management support program of the present disclosure is installed in a user's smartphone and the smartphone is used as a behavior management support device of the present disclosure, but the present disclosure is not limited to the following example. In the following description, a case will be described in which the user is a patient with atrial fibrillation and manages lifestyle habits to prevent recurrence after undergoing catheter ablation radical surgery for treatment, but the present disclosure is not limited to the following example.

[0070] First, a doctor sets a standard for the health-related item "diet" as "salt intake 6 g or less / day" during a medical examination of patient B. The device 10 acquires the set standard as the standard for the health-related item of patient B. Then, the device 10 uses the standard for the health-related item (salt intake of 6 g or less per day) as a keyword to present to the patient B a question inquiring about the actual state of the health-related item (diet) (for example, "Your goal was to keep your daily salt intake at 6 g or less, how was it?") and corresponding answer candidates (for example, (1) less than 6 g / day, (2) 6 g or more / day to less than 10 g / day, (3) 10 g or more / day, (4) I don't remember) to the patient B, and obtains the answer of the patient B (for example, (4) I don't remember). In this case, the device 10 presents, for example, a further question, "I see, so did you eat out?" and further obtains the answer of the patient B (I ate out a lot this week. I had steak at XX restaurant). Then, based on the answer, it is determined that the actual state of the patient B's diet is "(3) 10 g or more / day" Next, the device 10 compares the standard with the actual situation and again determines "6g or less / day" as the goal for patient B. Next, the device 10 presents a question inquiring about the mood of patient B (e.g., "Did you eat out a lot? Are you feeling unwell?" and corresponding answer candidates ((1) feeling good, (2) feeling normal, (3) feeling unwell) to patient B, obtains the answer of patient B (e.g., (3) feeling unwell), and obtains that "mood: unwell" of patient B based on the answer. Then, the device 10 generates a corrected goal "salt intake 12g or less / day" by correcting the goal "salt intake 6g or less / day" based on the goal correction value: 50% linked to the "mood: unwell", and outputs the corrected goal "salt intake 12g or less / day" to patient B.

[0071] Example 3 Another embodiment of the usage form of the behavior management support program of the present disclosure will be described. In the following description, a case will be described in which the behavior management support program of the present disclosure is installed in a user's smartphone and the smartphone is used as a behavior management support device of the present disclosure, but the present disclosure is not limited to the following example. In the following description, a case will be described in which the user is a patient with atrial fibrillation and manages lifestyle habits to prevent recurrence after undergoing catheter ablation radical surgery for treatment, but the present disclosure is not limited to the following example.

[0072] First, during the examination of patient C, the doctor sets the standard for the health-related item: "diet" as "salt intake 6g or less / day" and the standard for the health-related item: "exercise" as "exercise 30 minutes / day, 3 to 4 times a week". Then, similar to the first and second embodiments, the standards and actual state of diet and exercise of patient C are acquired, and correction goals for diet and exercise are generated based on the mood of patient C. Next, the device 10 acquires the motivation and difficulty of patient C for each of diet and exercise. Since patient C ate meals made by his spouse, the motivation index for diet was 3, the highest of the three stages, and the difficulty index for diet was 1, the lowest of the three stages. In contrast, the motivation index for exercise was 1, the lowest of the three stages, and the difficulty index for exercise was 1, the lowest of the three stages. Since the actual situation is not achieving the correction targets for either diet or exercise, the level of necessity is 3 for both. In this case, the priority of food was Necessity (3)-Difficulty index (1) / Motivation index (3)=2.6666..., and the priority of exercise was Necessity (3)-Difficulty index (1) / Motivation index (1)=2. For this reason, a high-priority food correction goal was presented to Patient C.

[0073] After that, Patient C's situation changed, he was transferred to a new job, he started living alone, and he started eating out more. As a result, Patient C's difficulty with food increased, and his difficulty index became 3, and his motivation also decreased to 2. As a result, the priority of food changed to necessity (3) - difficulty index (3) / motivation index (2) = 1.5. If the priority of exercise remains at the aforementioned 2, the correction goal of exercise with a high priority will be presented to Patient C. In this way, the goals of the health-related items presented can be changed according to Patient C's situation, so the user can manage his / her lifestyle and change his / her behavior without difficulty.

[0074] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0075] <Additional Notes> Some or all of the above embodiments may be described as follows, but are not limited to the following supplementary notes. (Appendix 1) The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step. The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; the output step outputs the correction target to a user; A behavior management support program for causing a computer to execute each of the above procedures. (Appendix 2) A behavior management support program as described in Appendix 1, wherein in the actual state acquisition step, the actual state of the health-related item is acquired based on responses between a chatbot and a user. (Appendix 3) 3. The behavior management support program according to claim 1 or 2, wherein in the mood acquisition step, the mood is acquired based on responses between a chatbot and a user. (Appendix 4) The step of acquiring the criteria includes acquiring the criteria for each of a plurality of health-related items; The actual situation acquisition step acquires an actual situation of the user for each of the plurality of health-related items; the goal determination step includes determining a goal for the user by comparing the standard with the actual situation for each of the plurality of health-related items; the goal correction step includes determining the goal correction value based on the mood, and generating a corrected goal by correcting the determined user's goal with the goal correction value for each of the health-related items; 4. The behavior management support program according to claim 1, wherein the output step outputs the correction goal to a user. (Appendix 5) The method includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, the difficulty level acquisition step acquires a user's difficulty level for a goal for each health-related item; The motivation acquisition step includes acquiring a user's motivation for a goal for each health-related item, the priority calculation step calculates a priority for each of the health-related items based on the actual state, the correction goal, the degree of difficulty, and the motivation for each of the health-related items; 5. The behavior management support program according to claim 4, wherein the output step outputs the correction goal to a user based on the priority. (Appendix 6) Includes recording procedures, The behavior management support program according to any one of appendices 1 to 5, wherein the recording procedure records at least one selected from the group consisting of the actual situation, the mood, and the correction goal for each health-related item as user history information. (Appendix 7) The behavior management support program according to claim 6, wherein the output step generates browsing information from the user history information and outputs the browsing information. (Appendix 8) 8. A behavior management support program according to any one of appendices 1 to 7, for supporting cognitive behavioral therapy. (Appendix 9) 9. A behavioral management support program as described in Appendix 8, for preventing lifestyle-related diseases. (Appendix 10) 9. A behavioral management support program as described in appended claim 8 for preventing atrial fibrillation. (Appendix 11) The system includes a reference acquisition unit, a status acquisition unit, a goal determination unit, a mood acquisition unit, a goal correction unit, and an output unit, The standard acquisition unit acquires standards for health-related items, The status acquisition unit acquires a status of a health-related item of the user, the goal determination unit determines a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition unit acquires a mood of a user, the target correction unit determines a target correction value based on the mood, and generates a corrected target by correcting the determined user's target with the target correction value; The output unit outputs the correction target to a user. Behavior management support device. (Appendix 12) The behavior management support device according to claim 11, wherein the actual state acquisition unit acquires the actual state of the health-related item based on responses between the chatbot and the user. (Appendix 13) 13. The behavior management support device according to claim 11 or 12, wherein the mood acquisition unit acquires the mood based on a response between a chatbot and a user. (Appendix 14) The criteria acquisition unit acquires the criteria for each of a plurality of health-related items, The actual state acquisition unit acquires an actual state of the user for each of the plurality of health-related items, the goal determination unit determines a goal for the user by comparing the standard with the actual situation for each of the plurality of health-related items; the goal correction unit determines the goal correction value based on the mood, and generates a corrected goal by correcting the determined goal of the user with the goal correction value for each of the health-related items; 14. The behavior management support device according to any one of claims 11 to 13, wherein the output unit outputs the correction goal to a user. (Appendix 15) The present invention includes a difficulty level acquisition unit, a motivation acquisition unit, and a priority calculation unit, the difficulty level acquisition unit acquires a user's difficulty level for a goal for each health-related item, The motivation acquisition unit acquires a user's motivation for a goal for each health-related item, the priority calculation unit calculates a priority for each of the health-related items based on the actual state, the correction goal, the degree of difficulty, and the motivation for each of the health-related items; 15. The behavior management support device according to claim 14, wherein the output unit outputs the correction goal to a user based on the priority. (Appendix 16) Including a recording section, The behavior management support device according to any one of appendices 11 to 15, wherein the recording unit records at least one selected from the group consisting of the actual situation, the mood, and the correction goal for each health-related item as user history information. (Appendix 17) 17. The behavior management support device according to claim 16, wherein the output unit generates browsing information from the user history information and outputs the browsing information. (Appendix 18) 18. A behavior management support device according to any one of appendixes 11 to 17, for supporting cognitive behavioral therapy. (Appendix 19) 19. A behavioral management support device as described in appendix 18, for preventing lifestyle-related diseases. (Appendix 20) 19. The behavioral management support device of claim 18, for preventing atrial fibrillation. (Appendix 21) The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step, The standard acquisition step acquires standards for health-related items, The actual state acquisition step acquires an actual state of a health-related item of the user, The goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, The goal correction step includes determining a goal correction value based on the mood, and generating a corrected goal by correcting the determined user goal with the goal correction value; The output step outputs the correction target to a user. A behavior management support method, wherein each of the steps is executed by a computer. (Appendix 22) A behavior management support method as described in Appendix 21, wherein in the actual situation acquisition process, the actual situation of the health-related item is acquired based on the response between the chatbot and the user. (Appendix 23) 23. A behavior management support method according to claim 21, wherein in the mood acquisition step, the mood is acquired based on a response between a chatbot and a user. (Appendix 24) The criteria acquisition step acquires the criteria for each of a plurality of health-related items, The actual situation acquisition step acquires an actual situation of the user for each of the plurality of health-related items, the goal determination step includes determining a goal for the user by comparing the standard with the actual situation for each of the plurality of health-related items; the goal correction step includes determining the goal correction value based on the mood, and generating a corrected goal by correcting the determined user's goal with the goal correction value for each of the health-related items; 24. The behavior management support method according to any one of appendices 21 to 23, wherein the output step outputs the correction goal to a user. (Appendix 25) The method includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, the difficulty level acquisition step acquires a user's difficulty level for a goal for each health-related item, The motivation acquisition step acquires a user's motivation for a goal for each health-related item, the priority calculation step calculates a priority for each of the health-related items based on the actual state, the correction goal, the degree of difficulty, and the motivation for each of the health-related items; 25. The behavior management support method according to claim 24, wherein the output step outputs the correction goal to a user based on the priority. (Appendix 26) A recording step is included. A behavior management support method described in any one of Appendices 21 to 25, wherein the recording step records at least one selected from the group consisting of the actual situation, the mood, and the correction goal for each health-related item as user history information. (Appendix 27) The behavior management support method according to claim 26, wherein the output step generates browsing information from the user history information and outputs the browsing information. (Appendix 28) 28. The behavior management support method according to any one of appendices 21 to 27, for supporting cognitive behavioral therapy. (Appendix 29) 29. A behavioral management support method according to claim 28, for preventing lifestyle-related diseases. (Appendix 30) 28. The behavioral management support method according to claim 27, for preventing recurrence of atrial fibrillation. (Appendix 31) The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step. The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; the output step outputs the correction target to a user; A computer-readable recording medium having recorded thereon a behavior management support program for causing a computer to execute each of the above procedures. (Appendix 32) The recording medium of claim 31, wherein in the actual state acquisition step, the actual state of the health-related item is acquired based on a response between a chatbot and a user. (Appendix 33) 33. The recording medium according to claim 31 or 32, wherein in the mood acquisition step, the mood is acquired based on a response between a chatbot and a user. (Appendix 34) The step of acquiring the criteria includes acquiring the criteria for each of a plurality of health-related items; The actual situation acquisition step acquires an actual situation of the user for each of the plurality of health-related items; the goal determination step includes determining a goal for the user by comparing the standard with the actual situation for each of the plurality of health-related items; the goal correction step includes determining the goal correction value based on the mood, and generating a corrected goal by correcting the determined user's goal with the goal correction value for each of the health-related items; 34. The recording medium according to any one of appendices 31 to 33, wherein the output step outputs the correction target to a user. (Appendix 35) The method includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, the difficulty level acquisition step acquires a user's difficulty level for a goal for each health-related item; The motivation acquisition step includes acquiring a user's motivation for a goal for each health-related item, the priority calculation step calculates a priority for each of the health-related items based on the actual state, the correction goal, the degree of difficulty, and the motivation for each of the health-related items; 35. The recording medium according to claim 34, wherein the output step outputs the correction target to a user based on the priority. (Appendix 36) Includes recording procedures, 36. The recording medium according to any one of appendices 31 to 35, wherein the recording step includes recording, for each health-related item, at least one selected from the group consisting of the actual situation, the mood, and the correction goal as user history information. (Appendix 37) 37. The recording medium of claim 36, wherein the output step generates browsing information from the user history information and outputs the browsing information. (Appendix 38) 38. The recording medium according to any one of appendices 31 to 37, for use in supporting cognitive behavioral therapy. (Appendix 39) 39. The recording medium according to claim 38, for preventing lifestyle-related diseases. (Appendix 40) 39. The recording medium of claim 38, for preventing atrial fibrillation. [Industrial Applicability]

[0076] According to the present disclosure, it is possible to support lifestyle management that is more suited to an individual. Therefore, the present disclosure can be suitably used in the medical field, welfare field, and the like. [Explanation of symbols]

[0077] 10 Behavior management support device 11 Standard Acquisition Department 12. Actual Status Acquisition Department 13 Goal Setting Department 14 Mood Acquisition Section 15 Target correction section 16 Output section 17 Difficulty level acquisition part 18 Motivation Acquisition Department 19 Priority calculation unit 20 Recording Section 101 Central Processing Unit 102 Memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step. The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; the output step outputs the correction target to a user; A behavior management support program for causing a computer to execute each of the above procedures.

2. 2. The behavior management support program according to claim 1, wherein in the actual state acquisition step, the actual state of the health-related item is acquired based on responses between a chatbot and a user.

3. 3. The behavior management support program according to claim 1, wherein in the mood acquisition step, the mood is acquired based on a response between a chatbot and the user.

4. The step of acquiring the criteria includes acquiring the criteria for each of a plurality of health-related items; The actual situation acquisition step acquires an actual situation of the user for each of the plurality of health-related items; the goal determination step includes determining a goal for the user by comparing the standard with the actual situation for each of the plurality of health-related items; the goal correction step includes determining the goal correction value based on the mood, and generating a corrected goal by correcting the determined user's goal with the goal correction value for each of the health-related items; 3. The behavior management support program according to claim 1, wherein said output step outputs said correction target to a user.

5. The method includes a difficulty level acquisition step, a motivation acquisition step, and a priority level calculation step, the difficulty level acquisition step acquires a user's difficulty level for a goal for each health-related item; The motivation acquisition step includes acquiring a user's motivation for a goal for each health-related item, the priority calculation step calculates a priority for each of the health-related items based on the actual state, the correction goal, the degree of difficulty, and the motivation for each of the health-related items; 5. The behavior management support program according to claim 4, wherein said output step outputs said corrected target to a user based on said priority.

6. Includes recording procedures, 3. The behavior management support program according to claim 1, wherein the recording step records, for each of the health-related items, at least one selected from the group consisting of the actual state, the mood, and the correction goal as user history information.

7. 7. The behavior management support program according to claim 6, wherein said output step generates browsing information from said user history information and outputs said browsing information.

8. 3. The behavior management support program according to claim 1 or 2, which is for supporting cognitive behavioral therapy.

9. 9. The behavior management support program according to claim 8, which is for preventing lifestyle-related diseases.

10. The behavioral management support program according to claim 8, which is for preventing atrial fibrillation.

11. The system includes a reference acquisition unit, a status acquisition unit, a goal determination unit, a mood acquisition unit, a goal correction unit, and an output unit, The standard acquisition unit acquires standards for health-related items, The status acquisition unit acquires a status of a health-related item of the user, the goal determination unit determines a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition unit acquires a mood of a user, the target correction unit determines a target correction value based on the mood, and generates a corrected target by correcting the determined user's target with the target correction value; The output unit outputs the correction target to a user. Behavior management support device.

12. The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step, The standard acquisition step acquires standards for health-related items, The actual state acquisition step acquires an actual state of a health-related item of the user, The goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, The goal correction step includes determining a goal correction value based on the mood, and generating a corrected goal by correcting the determined user goal with the goal correction value; The output step outputs the correction target to a user. A behavior management support method, wherein each of the steps is executed by a computer.

13. The method includes a reference acquisition step, a reality acquisition step, a goal determination step, a mood acquisition step, a goal correction step, and an output step. The criteria acquisition step acquires criteria for health-related items; The actual state acquisition step acquires an actual state of a health-related item of the user, the goal determination step includes determining a goal for the user by comparing the criteria and the actual state of the health-related item; The mood acquisition step acquires a mood of a user, the target correction step includes determining a target correction value based on the mood, and generating a corrected target by correcting the determined user's target with the target correction value; the output step outputs the correction target to a user; A computer-readable recording medium having recorded thereon a behavior management support program for causing a computer to execute each of the above procedures.

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