Proposal system, storage medium, and control device

Abstract

A proposal system (1) comprises an acquisition unit (220) that acquires body information relating to the body of a user and action schedule information relating to an action schedule of the user after bathing, a determination unit (230) that determines bathing information for improving the quality of sleep of the user in accordance with the acquired body information and action schedule information, and an output unit (240) that outputs the determined bathing information to the user.

Description

Proposed system, storage medium and control device

[0001] The present invention relates to a proposal system, a storage medium, and a control device.

[0002] 2. Description of the Related Art Bathtub devices and the like that take into consideration the sleep of the bather (user) have been known.

[0003] In this regard, Patent Document 1 discloses a bathtub device that controls a heating / cooling device to set the bather's body temperature at an appropriate temperature when the bather is sleeping.

[0004] JP 2024-005763 A

[0005] However, with the technology described in Patent Document 1, the user was unable to receive bathing information suggestions based on their own physical information (e.g., physical condition) or the user's planned activities after bathing (e.g., whether or not they plan to go out).

[0006] The present invention has been made in consideration of such problems, and its purpose is to provide a suggestion system, storage medium, and control device that can suggest bathing information to improve the quality of sleep based on the user's physical information and planned activities after bathing.

[0007] In order to solve the above problem, the proposed system according to the first aspect of the present invention includes an acquisition unit that acquires physical information about the user's body and activity schedule information about the user's planned activities after bathing, a determination unit that determines bathing information to improve the quality of the user's sleep based on the acquired physical information and activity schedule information, and an output unit that outputs the determined bathing information to the user.

[0008] In a second aspect of the present invention, the activity schedule information includes bedtime schedule information regarding the user's bedtime schedule.

[0009] In a third aspect of the present invention, the bedtime schedule information includes a bedtime, and the determining unit determines a bathing time or a bathing exit time to be recommended as the bathing information based on the bedtime.

[0010] In a fourth aspect of the present invention, the determining unit determines a bathing period to be recommended as the bathing information.

[0011] In a fifth aspect of the present invention, the determination unit determines the bathing information according to a bathing time of the user.

[0012] In a sixth aspect of the present invention, the determination unit determines the bathing information according to the temperature inside or outside the bathroom in which the user takes a bath.

[0013] In a seventh aspect of the present invention, the bedtime schedule information includes a wake-up time, and the determination unit determines a bathing time or a bathing exit time to be recommended as the bathing information based on the wake-up time.

[0014] In an eighth aspect of the present invention, the determination unit determines the bathing information by referring to an optimal model relating to improvement of sleep quality.

[0015] In addition, in a ninth aspect of the present invention, the optimum model is updated in accordance with sleeping history information relating to past sleeping of the user.

[0016] In addition, in a tenth aspect of the present invention, the optimal model is updated in accordance with bathing history information relating to the user's past bathing.

[0017] In an eleventh aspect of the present invention, the activity schedule information includes a room temperature schedule regarding the room temperature in which the user will be staying after taking a bath.

[0018] In addition, in a twelfth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration to be recommended as the bathing information based on the room temperature schedule.

[0019] In a thirteenth aspect of the present invention, the activity schedule information includes an outing plan for the user after taking a bath.

[0020] In addition, in a fourteenth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration to be recommended as the bathing information based on the user's plans to go out.

[0021] In a fifteenth aspect of the present invention, the activity schedule information includes a re-bathing schedule regarding the user's re-bathing after taking a bath.

[0022] In addition, in a sixteenth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration to be recommended as the bathing information based on the user's planned re-bathing.

[0023] Furthermore, a storage medium according to a seventeenth aspect of the present invention is a non-transitory computer-readable storage medium that records a program that causes a computer to function as an acquisition unit that acquires physical information about a user's body and activity schedule information about the user's planned activities after bathing, a determination unit that determines bathing information to improve the user's sleep quality based on the acquired physical information and activity schedule information, and an output unit that outputs the determined bathing information to the user.

[0024] In addition, a control device according to an eighteenth aspect of the present invention includes an acquisition unit that acquires physical information about a user's body and activity schedule information about the user's planned activities after bathing, a determination unit that determines bathing information to improve the quality of the user's sleep based on the acquired physical information and activity schedule information, and an output unit that outputs the determined bathing information to the user.

[0025] According to the present invention, bathing information for improving the quality of sleep can be suggested based on the user's physical information and planned activities after bathing.

[0026] FIG. 1 is a diagram showing an example of the overall configuration of a bathroom system according to the present embodiment. FIG. 2 is a perspective view showing an example of the configuration of the bathroom shown in FIG. 1. FIG. 3 is a perspective view showing an example of the configuration of the bathtub shown in FIG. 2A. FIG. 4 is a diagram showing an example of the hardware configuration of a control device according to the first embodiment. FIG. 5 is a diagram showing an example of the functional configuration of a control device according to the first embodiment. FIG. 6 is a diagram showing an example of a first optimum model. FIG. 7 is a diagram showing an example of a second optimum model. FIG. 8 is a flowchart showing an example of the processing flow performed by each functional means shown in FIG. 4 in the proposal system according to the first embodiment. FIG. 9 is a diagram showing an example of a bathing information proposal screen according to the first embodiment. FIG. 10 is a flowchart showing an example of the processing flow performed by each functional means in the proposal system according to the second embodiment. FIG. 11 is a flowchart showing an example of the processing flow performed by each functional means in the proposal system according to the third embodiment.

[0027] Hereinafter, several embodiments of the present invention will be described with reference to the accompanying drawings. To facilitate understanding of the description, the same components and steps in each drawing will be designated by the same reference numerals as much as possible, and redundant description will be omitted.

[0028] First Embodiment First, the first embodiment will be described.

[0029] <Overall Configuration> Figure 1 is a diagram showing an example of the overall configuration of a proposal system 1 according to a first embodiment. As shown in Figure 1, the proposal system 1 includes, for example, a bathroom 10, a control device 20, and multiple terminal devices 30. The bathroom 10, the control device 20, and the terminal devices 30 are communicatively connected via a communication network NT such as an intranet, the Internet, or a telephone line. Note that, although Figure 1 shows the proposal system 1 connected to multiple terminal devices 30 via the communication network NT, it may also be connected to a single terminal device 30.

[0030] The bathroom 10 is a unit that includes, for example, a bathtub 12, a shower, a water supply mechanism, a drainage mechanism, and control devices that control each device. The bathroom 10 receives control commands transmitted from the control device 20 via the communications network NT and operates each device according to the received control commands. The bathroom 10 also transmits the status of each device in the bathroom 10 to the control device 20 via the communications network NT. The status of each device includes, for example, the temperature and amount of hot water stored in the bathtub 12, the temperature of hot water supplied from the shower, and the operating status of the water supply mechanism and drainage mechanism. Note that the bathroom 10 may operate each device in response to user input via an input / output device provided separately from the terminal devices 30A-30C.

[0031] The control device 20 is, for example, a computer or server device serving as an information processing device, and provides the results of content execution obtained by executing a program, or the program itself, to users of each of the terminal devices 30A-30C via the communications network NT. The control device 20 also transmits control commands related to operational control of the bathroom 10 to the bathroom 10 via the communications network NT. The control device 20 also acquires information related to the operational status of the bathroom 10 from the bathroom 10 via the communications network NT, and acquires information such as the results of program execution and user input operations on the terminal devices 30A-30C from the terminal devices 30A-30C. The control device 20 is connected (wired or wirelessly) to be able to communicate with the bathroom 10 and the terminal devices 30A-30C.

[0032] The terminal device 30 is an interface device used by the user, and includes an input device (e.g., a touch panel) and an output device (e.g., a display and a speaker). For example, the terminal device 30A is an input / output device that allows the user to control the operation of the bathroom 10 or set the control content. For example, the input device of the terminal device 30A is a button (switch). Note that this input device may also be a cross key or a touch panel display, etc. Also, for example, the terminal device 30B is a smart device used by the user (e.g., a smartphone or a tablet terminal). Also, for example, the terminal device 30C is a smart watch used (worn) by the user. Note that the terminal device 30 may also be a personal computer, a clock, a sleeping device (a bed device or a panel device), etc.

[0033] The terminal device 30 receives input from the user and transmits information including the content of the received input to the control device 20 via the communication network NT. The terminal device 30 also communicates the information transmitted from the control device 20 via the communication network NT to the user by displaying it on a screen, outputting sound, vibrating, or the like.

[0034] <Bathroom Configuration> Figure 2 is a diagram showing an example of the configuration of the bathroom 10 and bathtub 12 according to the first embodiment. Figure 2A is a perspective view showing an example of the configuration of the bathroom 10 shown in Figure 1. Figure 2B is a perspective view showing an example of the configuration of the bathtub 12 shown in Figure 2A. As shown in Figures 2A and 2B, the bathroom 10 is configured to include, for example, the bathtub 12, sensors 14a to 14c, a temperature sensor 15, a signal processing device 16, a remote control 16a, an outlet 17, a water discharge device 18, and a water intake section 19. The water intake section 19 is configured to include a bathtub water discharge outlet 19a and a water intake 19b.

[0035] The bathtub 12 is shaped like a roughly rectangular box in a plan view and is configured to store hot and cold water inside. The inner wall surface that forms one of the short sides of the bathtub 12 is formed as a backrest surface 12a, which is an inner wall surface that is formed so that the user can lean against while bathing. Note that the shape of the main body of the bathtub 12 is roughly rectangular, but is not limited to this and may be any shape. The bathtub 12 is provided with a drain port 17 on the bottom that can be opened and closed by a plug, and when the drain port 17 is open, the hot and cold water stored in the bathtub 12 is discharged to the outside of the bathtub 12.

[0036] The water discharge device 18 is provided on the upper part of the backrest surface 12a of the bathtub 12 and is configured to discharge hot water toward the inside of the bathtub 12. The water discharge device 18 has a flat, wide water outlet 18a extending along the upper edge of the backrest surface 12a and is configured to discharge hot water toward the shoulders of a user leaning against the backrest surface 12a. The water discharge device 18 is also configured to discharge a portion of the hot water drawn in from the water intake 19b through the water outlet 18a. As a result, the hot water in the bathtub 12 is sucked in through the water intake 19b, discharged through the water outlet 18a, and circulated so that it flows into the bathtub 12. Furthermore, a portion of the hot water drawn in from the water intake 19b is also discharged from the bathtub water outlet 19a provided on the backrest surface 12a of the bathtub 12.

[0037] Sensors 14a to 14c are sensors that detect the physical condition of the user while bathing. For example, sensors 14a to 14c detect the user's electrocardiogram signal via the hot and cold water stored in the bathtub 12 based on the potential difference between sensors 14a and 14b. Sensor 14a is, for example, a negative electrode and is located on the backrest surface 12a of the bathtub 12. Sensor 14b is, for example, a positive electrode and is located on the backrest surface 12a of the bathtub 12. Sensor 14c is, for example, an electrode that acquires a reference potential for the potentials detected by sensors 14a and 14b and is located on the backrest surface 12a.

[0038] The sensors 14a to 14c detect (measure) the user's body temperature (skin temperature), heart rate (pulse), blood flow rate, whether the user is bathing (in the bathtub 12), etc. The sensors 14a to 14c may also detect the temperature and amount of water stored in the bathtub 12.

[0039] Temperature sensor 15 is a human presence sensor that is installed inside or outside bathroom 10 and detects the user's body temperature while bathing, before bathing, and after bathing, thereby detecting whether the user has entered (or left) bathroom 10. Temperature sensor 15 also measures the air temperature inside or outside bathroom 10.

[0040] Signal processing device 16 controls the operation of each component of bathroom 10 in accordance with control commands transmitted from control device 20 via communications network NT. Signal processing device 16 is also configured to communicate with remote control 16a and controls the operation of each component of bathroom 10 in accordance with control commands transmitted from remote control 16a. Remote control 16a is an input / output device for operating each component of bathroom 10, and is configured to allow the user to operate, for example, the user's electrocardiogram detection function in bathtub 12 and the water discharge device 18. Signal processing device 16 fills bathtub 12 with water at a temperature and volume in accordance with the control commands transmitted from control device 20, plays music via remote control 16a, and sounds a timer in accordance with the control commands. Bathroom 10 also discharges or stops the discharge of water from water outlet 18a and bathtub water outlet 19a at a temperature and flow rate in accordance with the control commands, in accordance with a sequence in accordance with the control commands transmitted from control device 20.

[0041] <Hardware Configuration> Fig. 3 is a diagram showing an example of the hardware configuration of the control device 20 according to the first embodiment. As shown in Fig. 3, the control device 20 includes, for example, a CPU (Central Processing Unit) 21, a memory 22, a storage device 23, a communication device 24, and an input / output device 25.

[0042] The CPU 21 functions as various functional components by executing predetermined programs stored in the memory 22 or the storage device 23. Details of these functional components will be described later.

[0043] The storage device 23 is configured with a hard disk, a solid state drive, or the like. This storage device 23 stores various programs and various information required for the CPU 21 to execute processes, as well as information on the results of the processes. The storage device 23 is an example of a non-transitory computer-readable storage medium. Other examples of non-transitory computer-readable storage media include magnetic tape, flexible disks, optical disks, digital versatile disks, Blu-ray disks, magneto-optical disks, memory cards, USB memory, and other portable storage media.

[0044] The communication device 24 includes a communication interface for communicating with external devices, and transmits and receives various types of information between the bathroom 10 and the terminal device 30, for example.

[0045] The input / output device 25 receives inputs from the user for operating the control device 20, and displays to the user information provided by the control device 20. The input / output device 25 may be a terminal device 30.

[0046] The control device 20 can be realized using an information processing device such as a dedicated or general-purpose server computer. The control device 20 may be configured from a single information processing device or multiple information processing devices distributed over a communication network NT. Fig. 3 shows only a portion of the main hardware configuration of the control device 20, and the control device 20 may also have other configurations that are generally included in a server.

[0047] <Functional Configuration> Fig. 4 is a diagram showing an example of the functional configuration of the control device 20 according to the first embodiment. As shown in Fig. 4, the control device 20 is configured to include, as functional components, a storage unit 210, an acquisition unit 220, a determination unit 230, an output unit 240, and a control unit 250. Functional means other than the storage unit 210 are realized by the control device 20 executing programs stored in the storage device 23 or the like.

[0048] The storage unit 210 is a functional configuration that stores suggested content 211 and various information to be displayed to the user via the terminal device 30. Specifically, the storage unit 210 stores the suggested content 211, user information 212, a first optimal model 213, and a second optimal model 214.

[0049] The suggested content 211 includes screen data to be displayed on an output device (e.g., a display) of the terminal device 30. In the first embodiment, the suggested content 211 includes, for example, basic screen data (e.g., a screen that does not include suggested behavior information or bathing information).

[0050] The user information 212 includes basic information, physical information, bathing environment information, bathing history information, sleeping history information, and activity schedule information for each user, in association with a user ID.

[0051] The basic information includes, for example, the user's name and address, device identification information corresponding to the terminal device 30 used by the user, a telephone number, an email address, etc. This device identification information is, for example, information required to send a push notification to the terminal device 30B or 30C used by the user.

[0052] The physical information includes, for example, information about the user's body, such as the user's body temperature, heart rate (pulse rate), electrocardiogram waveform, blood flow velocity, respiratory rate, etc., that is predetermined as information that may change with each bath. This physical information is updated each time detection (measurement) is performed by, for example, sensors 14a to 14c, temperature sensor 15, terminal device 30C, etc. Furthermore, the physical information includes, for example, changes over a certain period of time (for example, one hour) regarding the user's body temperature, heart rate (pulse rate), electrocardiogram waveform, blood flow velocity, respiratory rate, etc.

[0053] The physical information also includes the user's physique information that the user has registered in advance using the terminal device 30. The physique information is information about the user's body that is predetermined as information that is unlikely to change between bathing sessions, and includes the user's gender, age, height, weight, body fat percentage, BMI (Body Mass Index), presence or absence of illness, average body temperature (normal temperature), average heart rate, etc.

[0054] The bathing environment information includes information about the user's current bathing environment, such as the temperature and volume of water stored or to be stored in the bathtub 12, and the air temperature. The bathing environment information includes, for example, information detected (measured) by the sensors 14a to 14c and the temperature sensor 15. The bathing environment information is updated, for example, at a predetermined interval (for example, every 10 seconds).

[0055] The hot water temperature and hot water volume include the hot water temperature and hot water volume that are controlled (or are to be controlled) by the control unit 250 .

[0056] The temperature includes the temperature inside or outside the bathroom 10 where the user takes a bath. This temperature includes, for example, information measured by the temperature sensor 15.

[0057] The bathing history information includes information about the user's past bathing. For example, when the date is changed, this bathing history information is updated (shifted) to reflect information common to the bathing information (information about the user's current bathing) in association with the previous day. For example, the bathing history information includes the water temperature and volume, bathing time, bathing exit time, bathing duration, and air temperature when the user bathed on each past date (bathing period).

[0058] The hot water temperature and hot water volume include the hot water temperature and hot water volume controlled by the control unit 250.

[0059] The bathing time includes the time when the user takes a bath. Examples of the bathing time include the time when the sensors 14a to 14c detect that the user has started bathing, or the time when the temperature sensor 15 detects that the user has entered the bathroom 10. The bathing time may also be calculated by subtracting the bathing duration from the bathing exit time.

[0060] The bathing exit time includes the time when the user exits the bath. Examples of the bathing exit time include the time when the sensors 14a to 14c detect that the user has finished bathing, or the time when the temperature sensor 15 detects that the user has left the bathroom 10. The bathing exit time may also be calculated by adding the bathing duration to the bathing time.

[0061] The bathing period includes the period during which the user bathes (bathing time). Examples of the bathing period include the period from when the sensors 14a to 14c detect that the user has started bathing to when the user has finished bathing, or the period from when the temperature sensor 15 detects that the user has entered the bathroom 10 to when the user has left the bathroom 10. The bathing period may be calculated, for example, from the difference between the time the user leaves the bath and the time the user starts bathing.

[0062] The sleeping history information includes information about the user's past sleeping history, such as the time of going to bed, the time of waking up, the time before going to bed, and sleep evaluation information for each past date (bedtime).

[0063] The bedtime and wake-up time are times measured by a terminal device 30 (for example, terminal device 30B or terminal device 30C), for example.

[0064] The time before going to bed is calculated, for example, from the difference between the time of taking a bath and the time of going to bed.

[0065] The sleep evaluation information includes, for example, evaluations related to sleep time, falling asleep, waking up, recovery from fatigue and physical strength, and an overall evaluation. Sleep time is calculated, for example, from the difference between bedtime and wake-up time. The falling asleep, waking up, and recovery from fatigue and physical strength include, for example, three-level evaluations (e.g., good, normal, poor) registered by the user operating the terminal device 30. The overall evaluation includes three-level evaluations (e.g., good, normal, poor) based on an overall evaluation of sleep time, falling asleep, waking up, recovery from fatigue and physical strength, etc.

[0066] The activity schedule information includes information about the user's activity schedule. For example, the activity schedule information includes, for example, bedtime schedule information, room temperature schedule information, going out schedule information, and re-bathing schedule information. The bedtime schedule information includes, for example, a bedtime and a wake-up time for each current and future date. The room temperature schedule information includes, for example, information about the room temperature in the room where the user will be spending time after taking a bath for each current and future date. The going out schedule information includes, for example, a time to go out and a duration for going out for each current and future date. The going out schedule information includes, for example, information about whether the user will take a re-bath after taking a bath for each current and future date. The activity schedule information is, for example, information registered in advance by the user.

[0067] The first optimum model 213 includes recommended bathing conditions for improving sleep quality for each user, associated with the user ID. For example, the first optimum model 213 is a table that includes recommended bathing conditions optimal for improving the user's sleep quality, associated with the user's physical condition and the user's planned activities. The recommended bathing conditions are stored as information calculated using a predetermined algorithm.

[0068] FIG. 5 is a diagram showing an example of the first optimum model 213.

[0069] As shown in FIG. 5 , the first optimal model 213 includes recommended bathing conditions associated with physical conditions and planned activities for each pattern. For example, the physical conditions include comparison information between the body temperature and the average body temperature (normal temperature). This comparison information includes, for example, one of "high," "normal," or "low." Furthermore, for example, the planned activities include a planned wake-up date, a planned bedtime, a planned room temperature, a planned outing, and a planned re-bath. The planned bedtime date includes a planned bedtime when the user plans to go to bed. The planned wake-up date includes a planned wake-up time when the user plans to wake up. The planned room temperature includes information about the room temperature where the user will spend time after bathing. The planned room temperature includes, for example, one of "cool" indicating that the room temperature will be cooled, and "-" indicating that there is no planned room temperature. The planned outing date includes information about whether the user will go out after bathing. The planned outing date includes one of "outing" indicating that there is a planned outing, and "-" indicating that there is no information about a planned outing. The re-bathing plan includes information about whether the user will re-bathe after the previous bath. The re-bathing plan includes either "re-bathing" indicating that there is a plan to re-bathe, or "-" indicating that there is no information about a plan to re-bathe. In addition, the recommended bathing conditions include, for example, water temperature, bathing time, bathing duration, and exit time.

[0070] 4 , the second optimal model 214 includes, for each user, a user ID and corresponding recommended bathing conditions for improving sleep quality. For example, the second optimal model 214 is a table that includes the user's past bathing conditions, past bedtimes, and past sleep evaluation information, and corresponding recommended bathing conditions optimal for improving the user's sleep quality. The recommended bathing conditions are stored as information calculated using a predetermined algorithm based on the user's past bathing conditions, past bedtimes, past sleep evaluation information, and other information.

[0071] FIG. 6 is a diagram showing an example of the second optimum model 214. As shown in FIG.

[0072] 6 , the second optimal model 214 includes recommended bathing conditions for each pattern, corresponding to the user's past bathing conditions, past bedtimes, and past sleep evaluation information. For example, the water temperature, bathing duration, and bathing exit time included in the past bathing conditions are the same as the water temperature, bathing duration, and bathing exit time included in the bathing history information of the user information 212. Also, for example, the past bedtimes and past sleep evaluation information are the same as the bedtimes and sleep evaluation information included in the sleep history information of the user information 212. Furthermore, the recommended bathing conditions include, for example, the water temperature, bathing duration, and bathing exit time.

[0073] 4 , the acquisition unit 220 is a functional means for acquiring various pieces of information about the user to whom the proposal is made. In the first embodiment, the acquisition unit 220 acquires physical information about the user's body, activity schedule information about the user's activity schedule, and bathing environment information about the user's current bathing environment.

[0074] For example, the acquisition unit 220 acquires, as physical information related to the user's body, body temperature (most recent body temperature), average body temperature (normal temperature), etc. from the physical information in the user information 212. Note that the acquisition unit 220 may also acquire physical information (e.g., body temperature) directly from the sensors 14a to 14c in the bathroom 10, the temperature sensor 15, the terminal device 30C, etc.

[0075] Furthermore, for example, the acquisition unit 220 acquires, as activity schedule information related to the user's planned activities after bathing, bedtime schedule information related to the user's bedtime plan, room temperature schedule information related to the room temperature in the room the user will be spending time in, outing schedule information related to going out, and re-bathing schedule information related to re-bathing. For example, the acquisition unit 220 acquires the bedtime and wake-up time for the current date from the bedtime schedule information in the user information 212. For example, the acquisition unit 220 acquires the bedtime and wake-up time for the current date from the bedtime schedule information in the user information 212. For example, the acquisition unit 220 acquires information such as whether the room in which the user will spend time after bathing is cool from the room temperature schedule information in the user information 212. For example, the acquisition unit 220 acquires information such as whether the user plans to go out after bathing from the outing schedule information in the user information 212. For example, the acquisition unit 220 acquires information such as whether the user will re-take a bath after taking a bath from the re-bathing schedule information in the user information 212. In this example, the acquiring unit 220 acquires the activity schedule information from the storage unit 210, but this is not limiting. For example, the acquiring unit 220 may acquire activity schedule information input by a user's operation to the terminal device 30B from the terminal device 30B. Furthermore, the acquiring unit 220 may acquire activity schedule information of a user identified by a biometric authentication sensor or the like provided in the terminal device 30B, the terminal device 30C, or the like from the terminal device 30B, the terminal device 30C, or the like.

[0076] Furthermore, for example, the acquisition unit 220 acquires the temperature and amount of water, air temperature, etc. from the bathing environment information of the user information 212 as bathing environment information relating to the user's current bathing environment.

[0077] The determination unit 230 is a functional means for determining information to be proposed to the user. In the first embodiment, the determination unit 230 determines bathing information for improving the quality of the user's sleep, based on the physical information and activity schedule information acquired by the acquisition unit 220. This bathing information includes, for example, bathing time, bathing exit time, bathing duration, water temperature, etc. Examples of improving the quality of sleep include improving the ease of falling asleep, waking up, and physical strength and fatigue recovery.

[0078] For example, the determination unit 230 determines the recommended bathing time or bathing exit time as bathing information based on the body temperature and average body temperature (normal body temperature) included in the physical information acquired by the acquisition unit 220 and the bedtime or wake-up time included in the bedtime schedule information. For example, the determination unit 230 compares the user's body temperature with the average body temperature (normal body temperature). The determination unit 230 then determines the recommended bathing time or bathing exit time based on the result of comparing the body temperature with the average body temperature (normal body temperature) and the bedtime or wake-up time included in the bedtime schedule information. This recommended bathing time is determined based on, for example, a standard time (e.g., 90 minutes) from the bathing exit time to the bedtime included in the bedtime schedule information (the time it takes for the body temperature to drop to a temperature suitable for bed), and is changed (adjusted) based on the body temperature, etc. Furthermore, the recommended bathing time is determined based on, for example, the standard time for the wake-up time and the standard time for the pre-bedtime period, and the standard time for the sleep time (e.g., 8 hours) included in the bedtime schedule information, and is changed (adjusted) based on the body temperature, etc.

[0079] For example, the higher the body temperature is above the average body temperature (normal body temperature), the earlier the bathing time (the longer the time before bedtime) the determination unit 230 will set. Specifically, if the body temperature is -0.5 degrees below the average body temperature (normal body temperature), the determination unit 230 will determine or provisionally determine the bathing time to be 90 minutes before the bedtime included in the bedtime schedule information. Also, for example, if the body temperature is +1.0 degrees above the average body temperature (normal body temperature), the determination unit 230 will determine or provisionally determine the bathing time to be 110 minutes before the bedtime included in the bedtime schedule information. Note that the higher the body temperature is above the average body temperature (normal body temperature), the determination unit 230 may set the bathing time later (the shorter the time before bedtime). Also, the determination unit 230 may determine the bathing time using the wake-up time instead of the bedtime.

[0080] Furthermore, for example, the determination unit 230 determines the bathing duration recommended as bathing information. For example, the higher the body temperature is above the average body temperature (normal body temperature), the shorter the bathing duration. Specifically, when the body temperature is -1.0 degrees below the average body temperature (normal body temperature), the determination unit 230 determines or provisionally determines the bathing duration to be 12 minutes. Furthermore, for example, when the body temperature is +1.0 degrees above the average body temperature (normal body temperature), the determination unit 230 determines or provisionally determines the bathing duration to be 8 minutes. Note that the determination unit 230 may also lengthen the bathing duration as the body temperature is above the average body temperature (normal body temperature).

[0081] Furthermore, for example, the determination unit 230 determines bathing information according to the bathing season in which the user will take a bath (for example, the season in which the bathing information is proposed). For example, the determination unit 230 changes (adjusts) the bathing time or bathing exit time so that it is earlier (the time before bedtime is longer) the hotter the bathing season. Specifically, if the bathing season is summer, the determination unit 230 changes the bathing time or bathing exit time by 10 minutes earlier. Also, for example, if the bathing season is spring or autumn, the determination unit 230 does not change the bathing time or bathing exit time. Also, for example, if the bathing season is winter, the determination unit 230 changes the bathing time or bathing exit time by 10 minutes later. Note that the determination unit 230 may change (adjust) the bathing time or bathing exit time so that it is later (the time before bedtime is shorter) the hotter the bathing season is.

[0082] Furthermore, for example, the determination unit 230 may change (adjust) the bathing period so that it is shorter the hotter the bathing season. Specifically, if the bathing season is summer, the determination unit 230 may shorten the provisionally determined bathing period by one minute. Furthermore, for example, the determination unit 230 may not change the bathing period if the bathing season is spring or autumn. Furthermore, for example, the determination unit 230 may lengthen the bathing period by one minute if the bathing season is winter. Note that the determination unit 230 may change (adjust) the bathing period so that it is longer the hotter the bathing season.

[0083] Furthermore, for example, the determination unit 230 determines bathing information based on the temperature included in the bathing environment information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time or bathing exit time so that the higher the temperature when the user takes a bath, the earlier the bathing time or bathing exit time (lengthening the time before bedtime). Specifically, when the temperature is 25 degrees Celsius or higher, the determination unit 230 changes the provisionally determined bathing time or bathing exit time to 10 minutes earlier. Also, for example, when the temperature is 15 degrees Celsius or higher but less than 25 degrees Celsius, the determination unit 230 does not change the provisionally determined bathing time or bathing exit time. Also, for example, when the temperature is less than 15 degrees Celsius, the determination unit 230 changes the provisionally determined bathing time or bathing exit time to 10 minutes later. Note that the determination unit 230 may change (adjust) the provisionally determined bathing time so that the higher the temperature when the user takes a bath, the later the bathing time (shortening the time before bedtime).

[0084] Furthermore, for example, the determination unit 230 may change (adjust) the provisionally determined bathing period so that it is shorter the higher the temperature when the user takes a bath. Specifically, when the temperature is 25 degrees Celsius or higher, the determination unit 230 shortens the provisionally determined bathing period by one minute. Furthermore, for example, when the temperature is 15 degrees Celsius or higher but less than 25 degrees Celsius, the determination unit 230 does not change the provisionally determined bathing period. Furthermore, for example, when the temperature is less than 15 degrees Celsius, the determination unit 230 may lengthen the provisionally determined bathing period by one minute. Note that the determination unit 230 may change (adjust) the provisionally determined bathing time so that it is longer the higher the temperature when the user takes a bath.

[0085] Furthermore, for example, the determination unit 230 determines bathing information based on the water temperature included in the bathing environment information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time and bathing exit time so that the higher the water temperature when the user bathes, the earlier the bathing time and bathing exit time (increasing the time before bedtime). Specifically, if the water temperature is 42 degrees Celsius or higher, the determination unit 230 changes the provisionally determined bathing time and bathing exit time to 10 minutes earlier. For example, if the water temperature is 39 degrees Celsius or higher but less than 42 degrees Celsius, the determination unit 230 does not change the provisionally determined bathing time and bathing exit time. For example, if the water temperature is less than 39 degrees Celsius, the determination unit 230 changes the provisionally determined bathing time and bathing exit time to 10 minutes later. The determination unit 230 may change (adjust) the provisionally determined bathing time or bathing exit time so that the higher the water temperature when the user takes a bath, the later the time to enter or leave the bath (the shorter the time before going to bed).

[0086] Furthermore, for example, the determination unit 230 may change (adjust) the provisionally determined bathing period so that the higher the water temperature when the user takes a bath, the longer it is. Specifically, if the water temperature is 42 degrees Celsius or higher, the determination unit 230 shortens the provisionally determined bathing period by one minute. Furthermore, for example, if the water temperature is 39 degrees Celsius or higher but less than 42 degrees Celsius, the determination unit 230 does not change the provisionally determined bathing period. Furthermore, for example, if the water temperature is less than 39 degrees Celsius, the determination unit 230 may lengthen the provisionally determined bathing period by one minute. Note that the determination unit 230 may change (adjust) the provisionally determined bathing period so that the higher the water temperature when the user takes a bath, the shorter it is.

[0087] Furthermore, for example, the determination unit 230 determines bathing information by referring to the first optimal model 213. For example, the determination unit 230 compares the body temperature included in the physical information acquired by the acquisition unit 220 with the average body temperature (normal temperature) and identifies whether the body temperature is "high," "normal," or "low." Next, the determination unit 230 refers to the user's physical condition and activity schedule in the first optimal model 213 and identifies a pattern (e.g., pattern 1) of the first optimal model 213 that matches the identified body temperature (e.g., high) and the planned bedtime (e.g., 9:30 PM), planned wake-up time (e.g., 6:00 AM), planned room temperature (e.g., "make it cool"), planned going out (e.g., "go out"), and planned re-bathing (e.g., "-") included in the activity schedule information acquired by the acquisition unit 220. Next, the determination unit 230 identifies recommended bathing conditions associated with the identified pattern (e.g., pattern 1). Next, the determination unit 230 determines or provisionally determines bathing information (such as bathing temperature, bathing time, bathing exit time, and bathing duration) based on the bathing temperature, bathing duration, bathing time, and bathing exit time included in the identified recommended bathing conditions. For example, the bathing time included in this bathing information is calculated by subtracting the bathing duration from the bathing exit time.

[0088] The determination unit 230 also determines the bathing time or bathing exit time recommended as bathing information so that the earlier the wake-up time included in the bedtime schedule information, the earlier the recommended bathing time or bathing exit time. The determination unit 230 also adjusts the bathing time or bathing exit time recommended as bathing information according to physique information (e.g., height, weight, age, and gender) included in the physical information acquired by the acquisition unit 220. For example, if the user has a small physique, the determination unit 230 adjusts the bathing time or bathing exit time so that it is 10 minutes earlier than if the user has a large physique. Whether the user has a small physique is determined, for example, by whether the height is equal to or less than a predetermined height (e.g., 165 cm), whether the weight is equal to or less than a predetermined weight (e.g., 55 kg), whether the age is equal to or less than a predetermined age (e.g., 15 years old), whether the gender is female, etc.

[0089] Furthermore, the determination unit 230 determines, for example, the bathing method, bathing duration, or water temperature to be stored in the bathtub 12 to be recommended as bathing information, based on the room temperature schedule included in the room temperature schedule information. If the room temperature schedule indicates that the user will spend time in a cool (e.g., 20 degrees Celsius) or cold (e.g., 10 degrees Celsius) room after bathing, the determination unit 230 determines, as bathing information, that the user will bathe in the bathtub 12 instead of taking a shower, that the water temperature be high (e.g., 42 degrees Celsius or higher), and that the bathing time be long (e.g., 12 minutes or longer). Furthermore, when determining bathing information based on the room temperature schedule, for example, the determination unit 230 may adjust the bathing time or bathing exit time 10 minutes earlier for a user with a small build than for a user with a large build.

[0090] Furthermore, the determination unit 230 determines, for example, a recommended bathing method, bathing duration, or water temperature to be stored in the bathtub 12 for bathing, as bathing information, in accordance with the plans to go out included in the plan information for going out. If the plans to go out indicate that the user will go out after bathing, the determination unit 230 determines, as bathing information, to bathe in the bathtub 12 instead of taking a shower, to set the water temperature high (for example, 42 degrees Celsius or higher), and to bathe for a long time (for example, 12 minutes or longer). Furthermore, when determining bathing information in accordance with the plans to go out, for example, the determination unit 230 may adjust the bathing time or exit time 10 minutes earlier for a user with a small build than for a user with a large build.

[0091] Furthermore, the determination unit 230 determines, for example, the recommended bathing method, bathing duration, or water temperature to be stored in the bathtub 12 as bathing information, based on the re-bathing plan included in the re-bathing plan information. If the re-bathing plan indicates that the user will re-bathe after a previous bath, the determination unit 230 determines, as bathing information, that the water temperature should be lower (for example, below 40 degrees Celsius) and the bathing time should be shorter (for example, 10 minutes or less). Furthermore, when determining bathing information based on the re-bathing plan, for example, the determination unit 230 may adjust the bathing time or bathing exit time to be 10 minutes earlier for a user with a smaller build than for a user with a larger build.

[0092] The output unit 240 is a functional means for outputting information to the user. In the first embodiment, the output unit 240 outputs the bathing information determined by the determination unit 230 to the user. For example, the output unit 240 displays a screen on the output device (display) of the terminal device 30. Specifically, the output unit 240 reflects the bathing information determined by the determination unit 230 in the proposed content 211 and displays a bathing information proposal screen that proposes bathing information on the output device of the terminal device 30. The output unit 240 may also display the bathing information proposal screen on the output device of the terminal device 30B or 30C by sending a push notification to the terminal device 30B or 30C. The output process performed by the output unit 240 is not limited to presenting data in a form that the user can see, and may also include processing for creating data in a form that the user cannot see.

[0093] The control unit 250 is a functional means that controls the entire proposal system 1. In the first embodiment, the control unit 250 controls the water temperature and amount. For example, the control unit 250 automatically controls the water temperature stored in the bathtub 12 to the water temperature (temperature) included in the bathing information suggested to the user. The control unit 250 also updates the physical information, bathing environment information, sleep history information, bathing history information, and other information in the user information 212 based on information detected (measured) by the sensors 14a to 14c, the temperature sensor 15, the terminal device 30C, and the like.

[0094] Furthermore, for example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 (optimum models). For example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 of the user in accordance with sleeping history information relating to the user's past sleeping (sleeping history information in the user information 212). In other words, the first optimum model 213 and the second optimum model 214 are updated in accordance with the sleeping history information relating to the user's past sleeping.

[0095] Specifically, the control unit 250 calculates statistical information (e.g., average time) of the pre-bedtime time for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information. Next, if the calculated pre-bedtime statistical information (e.g., average time) is longer than a first predetermined time (e.g., 100 minutes), the control unit 250 advances the bathing time included in the recommended bathing information associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214 for the user. Examples of such some or all patterns include a pattern in which the difference between the bathing time included in the recommended bathing conditions and the planned bedtime included in the bedtime schedule (pre-bedtime time) is less than a reference time (e.g., 90 minutes). Note that if the calculated pre-bedtime statistical information (e.g., average time) is longer than the first predetermined time (e.g., 100 minutes), the control unit 250 may change the water temperature or bathing duration included in the recommended bathing information associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214.

[0096] On the other hand, if the calculated statistical information on the time before bedtime (e.g., average time) is shorter than a second predetermined time (e.g., 80 minutes), the control unit 250 delays the bathing start time included in the recommended bathing conditions associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214. Examples of some or all of these patterns include a pattern in which the difference between the bathing start time included in the recommended bathing conditions and the planned bedtime included in the planned bedtime (time before bedtime) exceeds a reference time (e.g., 90 minutes). Note that if the calculated statistical information on the time before bedtime (e.g., average time) is shorter than the second predetermined time (e.g., 80 minutes), the control unit 250 may change the water temperature or the bathing duration included in the recommended bathing information associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214.

[0097] Furthermore, for example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 (optimum models) of the user in accordance with bathing history information about the user's past bathing (bathing history information in the user information 212). In other words, the first optimum model 213 and the second optimum model 214 are updated in accordance with bathing history information about the user's past bathing.

[0098] Specifically, when statistical information (e.g., average time) of bathing times in the bathing history information is earlier than a first predetermined time (e.g., 6:00 PM), the control unit 250 advances the bath exit time included in the recommended bathing conditions associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214. Note that when statistical information (e.g., average time) of bathing times in the bathing history information is earlier than the first predetermined time (e.g., 6:00 PM), the control unit 250 may change the water temperature or bathing duration included in the recommended bathing conditions associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214.

[0099] On the other hand, if the statistical information of bathing times (e.g., average time) in the bathing history information is later than a second predetermined time (e.g., 10 p.m.), the control unit 250 delays the bathing exit time included in the recommended bathing conditions associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214. Note that if the statistical information of bathing times (e.g., average time) in the bathing history information is later than the second predetermined time (e.g., 10 p.m.), the control unit 250 may change the water temperature or bathing duration included in the recommended bathing conditions associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214.

[0100] <Processing Flow> Fig. 7 is a flowchart showing an example of the processing flow performed by each functional unit shown in Fig. 4 in the proposal system 1 according to the first embodiment. Note that the order and content of the following steps can be changed as appropriate.

[0101] (Step SP10) The control unit 250 determines whether a predetermined time has arrived. This predetermined time may be, for example, a time preset in the proposal system 1 (e.g., 6:00 p.m.) or a time preset by the user. If the determination is affirmative, the process proceeds to step SP12. On the other hand, if the determination is negative, the process proceeds to step SP10.

[0102] (Step SP12) The acquisition unit 220 acquires the physical information from the user information 212. Then, the process proceeds to step SP14.

[0103] (Step SP14) The acquisition unit 220 acquires the activity schedule information from the user information 212. Then, the process proceeds to step SP16.

[0104] (Step SP16) The determination unit 230 determines bathing information based on the physical information acquired in step SP12 and the activity schedule information acquired in step SP14. For example, the determination unit 230 compares the user's body temperature included in the physical information with their average body temperature (normal body temperature). The determination unit 230 then sets the bathing time earlier (i.e., the longer the time before bedtime) the higher the body temperature is compared to the average body temperature (normal body temperature). Specifically, if the body temperature is 1.0°C higher than the average body temperature (normal body temperature), the determination unit 230 determines the bathing time to be 110 minutes before the bedtime included in the activity schedule information. Furthermore, the higher the body temperature is compared to the average body temperature (normal body temperature), the shorter the bathing duration. Specifically, if the body temperature is 1.0°C higher than the average body temperature (normal body temperature), the determination unit 230 determines the bathing duration to be 8 minutes. Furthermore, if the user's physique is small, the determination unit 230 determines the bathing information so that the bathing time or bathing exit time is moved up by 10 minutes compared to if the user's physique is large. Furthermore, if the room temperature schedule included in the activity schedule information indicates that the user will stay in a cool or cold room after bathing, the determination unit 230 determines the bathing information so that the user will take a bath in the bathtub 12 instead of a shower, increase the water temperature, and lengthen the bathing time. Furthermore, if the going-out schedule included in the activity schedule information indicates that the user will go out after bathing, the determination unit 230 determines the bathing information so that the user will take a bath in the bathtub 12 instead of a shower, increase the water temperature, and lengthen the bathing time. Furthermore, if the re-bathing schedule included in the activity schedule information indicates that the user will take a re-bath after bathing, the determination unit 230 determines the bathing information so that the user will take a re-bath and decrease the water temperature and shorten the bathing time. Then, the process proceeds to step SP18.

[0105] (Step SP18) The output unit 240 reflects the bathing information determined in step SP16 in the proposed content 211 and generates a bathing information proposal screen that proposes bathing information to the user before bathing. Next, the output unit 240 displays the generated bathing information proposal screen on the output device of the terminal device 30.

[0106] FIG. 8 is a diagram showing an example of the bathing information proposal screen 2110 in the first embodiment.

[0107] As shown in FIG. 8 , the bathing information proposal screen 2110 includes an activity information area 2112 and a suggested information area 2114. In this example, the activity information area 2112 displays an image indicating the bedtime included in the activity schedule information acquired in step SP14. Note that this bedtime may be bedtime information (bedtime) determined by the determination unit 230. The activity information area 2112 may also display an image indicating one or more of the wake-up time, planned outing, planned room temperature, and planned re-bathing included in the activity schedule information. The suggested information area 2114 displays images indicating the bathing time, bathing duration, and water temperature as bathing information recommended to the user.

[0108] Then, the series of processes shown in FIG. 7 ends.

[0109] <Effects> In the first embodiment, the proposal system 1 includes an acquisition unit 220 that acquires physical information about the user's body and activity schedule information about the user's planned activities after bathing, a determination unit 230 that determines bathing information to improve the quality of the user's sleep based on the acquired physical information and activity schedule information, and an output unit 240 that outputs the determined bathing information to the user.

[0110] According to this configuration, bathing information for improving the quality of sleep can be suggested based on the user's physical information (e.g., physical condition).

[0111] In the first embodiment, the activity schedule information includes bedtime schedule information regarding the user's bedtime schedule.

[0112] With this configuration, bathing information for improving the quality of sleep can be suggested according to the user's bedtime schedule.

[0113] In the first embodiment, the bedtime schedule information includes a bedtime, and the determining unit 230 determines the bathing time or bathing exit time recommended as bathing information according to the bedtime.

[0114] According to this configuration, it is possible to suggest to the user bathing times or bathing exit times that are in line with the user's bedtime schedule.

[0115] In the first embodiment, the determination unit 230 determines the bathing period recommended as bathing information.

[0116] This configuration allows the user to be suggested a bathing period that is in line with their bedtime schedule.

[0117] In the first embodiment, the determination unit 230 determines bathing information according to the user's bathing time.

[0118] According to this configuration, bathing information according to the bathing season can be suggested to the user, thereby improving the quality of the user's sleep.

[0119] In the first embodiment, the determination unit 230 determines bathing information according to the temperature inside or outside the bathroom 10 where the user takes a bath.

[0120] According to this configuration, bathing information according to the temperature at the time of bathing can be proposed to the user, thereby improving the quality of sleep of the user.

[0121] In the first embodiment, the bedtime schedule information includes a wake-up time, and the determination unit 230 determines the bathing time or bathing exit time recommended as bathing information according to the wake-up time.

[0122] According to this configuration, it is possible to suggest to the user bathing times or bathing exit times that are in line with the user's bedtime schedule.

[0123] In the first embodiment, the determination unit 230 determines bathing information by referring to an optimal model related to improving sleep quality.

[0124] This configuration makes it possible to provide the user with optimal suggestions for improving the quality of their sleep.

[0125] In the first embodiment, the optimum model is updated in accordance with the sleeping history information relating to the user's past sleeping habits.

[0126] According to this configuration, the optimal model is updated according to the user's sleeping history information regarding past sleep habits, so that bathing information suited to the user's sleeping characteristics can be suggested.

[0127] In addition, in the first embodiment, the optimum model is updated according to bathing history information relating to the user's past bathing.

[0128] According to this configuration, the optimal model is updated according to bathing history information relating to the user's past bathing, so that bathing information suited to the user's bathing characteristics can be proposed.

[0129] In the first embodiment, the activity schedule information includes a room temperature schedule regarding the room temperature in which the user will be staying after taking a bath.

[0130] With this configuration, bathing information can be suggested according to the room temperature in the room where the user will be staying after bathing, thereby improving the quality of the user's sleep.

[0131] In the first embodiment, the bathing information includes the temperature and duration of the water stored in the bathtub 12 in which the user will bathe. The determination unit 230 determines the recommended water temperature and duration of the bathing information based on the expected room temperature.

[0132] With this configuration, it is possible to suggest a water temperature and bathing duration that is in line with the room temperature in the room where the user will be staying after bathing.

[0133] In the first embodiment, the activity schedule information includes an outing plan for the user after taking a bath.

[0134] According to this configuration, bathing information can be suggested according to the user's plans to go out after bathing, thereby improving the quality of the user's sleep.

[0135] In the first embodiment, the bathing information includes the temperature and duration of the water stored in the bathtub 12 in which the user will bathe. The determination unit 230 determines the recommended water temperature and duration of the bathing information based on the user's plans to go out.

[0136] This configuration makes it possible to suggest a water temperature and bathing duration that is in line with the user's plans to go out after bathing.

[0137] In addition, in the first embodiment, the activity schedule information includes a re-bathing schedule for the user to re-take a bath after taking a bath.

[0138] According to this configuration, bathing information can be suggested according to the user's plans to take another bath after taking a bath, thereby improving the quality of the user's sleep.

[0139] In the first embodiment, the bathing information includes the temperature and duration of the water stored in the bathtub 12 in which the user will bathe. The determination unit 230 determines the recommended water temperature and duration of the bathing information based on the user's plans to take another bath.

[0140] With this configuration, it is possible to suggest a water temperature and bathing duration that is in line with the user's plans for re-bathing after bathing.

[0141] --Second Embodiment--- Next, a second embodiment will be described.

[0142] The second embodiment differs from the first embodiment in that the acquisition unit 220 acquires bathing history information and sleeping history information, and the determination unit 230 determines bathing information based on the acquired bathing history information and sleeping history information. Note that the configuration and functions of the proposal system 1 according to the second embodiment, which are not described below, are similar to the configuration and functions of the proposal system 1 according to the first embodiment.

[0143] In the second embodiment, the acquisition unit 220 acquires bathing history information related to the user's past bathing and sleeping history information related to the user's past sleeping. For example, the acquisition unit 220 also acquires bedtime schedule information related to the user's bedtime schedule. For example, the acquisition unit 220 also acquires bathing environment information related to the user's bathing environment on the current date. For example, the acquisition unit 220 also acquires physical information related to the user's body.

[0144] Furthermore, for example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc., for each past date when the user took a bath from the bathing history information of the user information 212. For example, the acquisition unit 220 acquires the bedtime, wake-up time, time before bedtime, sleep evaluation information, etc., for each past date from the sleep history information of the user information 212.

[0145] Furthermore, for example, the acquisition unit 220 acquires the bedtime and wake-up time for the current date from the bedtime schedule information in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature, amount of water, air temperature, etc. from the bathing environment information in the user information 212.

[0146] Furthermore, for example, the acquisition unit 220 acquires body temperature, average body temperature (normal temperature), and the like from the physical information of the user information 212 .

[0147] In the second embodiment, the determination unit 230 determines bathing information for improving the quality of sleep of the user based on the bathing history information and sleeping history information acquired by the acquisition unit 220 .

[0148] For example, the determination unit 230 identifies a date in the sleeping history information on which the overall evaluation of the sleep evaluation information is "good," and calculates statistical information on bathing times (e.g., average times) and statistical information on bathing periods (e.g., average durations) included in the bathing history information for the identified date. The determination unit 230 then determines or provisionally determines the calculated statistical information on bathing times (e.g., average times) as the recommended bathing time, and determines or provisionally determines the calculated statistical information on bathing periods (e.g., average durations) as the recommended bathing periods. The determination unit 230 also determines or provisionally determines the time calculated by adding the calculated statistical information on bathing times (e.g., average times) to the calculated statistical information on bathing periods (e.g., average durations) as the recommended bathing time.

[0149] Furthermore, for example, the determination unit 230 determines bedtime information (bedtime) to recommend to the user based on the sleep evaluation information included in the sleep history information. For example, the determination unit 230 calculates statistical information (e.g., average time) of bedtimes for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information, and determines the calculated statistical information (e.g., average time) of bedtimes as the recommended bedtime information (bedtime).

[0150] Furthermore, for example, the determination unit 230 determines or provisionally determines the bathing time or bathing exit time to be recommended to the user as bathing information based on the bedtime included in the bedtime schedule information acquired by the acquisition unit 220, the time before bedtime included in the bedtime history information, and the sleep evaluation information.

[0151] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information. Then, the determination unit 230 determines or provisionally determines as the recommended bath time the time obtained by subtracting the calculated statistical information (e.g., average time) of the time before bedtime from the bedtime included in the bedtime schedule information.

[0152] For example, the determination unit 230 determines a bathing period to be recommended as bathing information. For example, the determination unit 230 identifies a date in the sleep history information on which the overall evaluation of the sleep evaluation information is "good," and determines or provisionally determines statistical information (e.g., average time) of the bathing period included in the bathing history information for the identified date as the bathing period to be recommended to the user.

[0153] Furthermore, for example, the determination unit 230 determines bathing information according to the bathing season (e.g., the current date) when the user will take a bath. For example, the determination unit 230 changes (adjusts) the tentatively determined bathing time and bathing exit time so that they are earlier the hotter the bathing season. Note that the determination unit 230 may also change (adjust) the tentatively determined bathing time and bathing exit time so that they are later the hotter the bathing season.

[0154] Furthermore, for example, the determination unit 230 determines bathing information according to the temperature (temperature inside or outside the bathroom 10) included in the bathing environment information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time and bathing exit time so that the higher the temperature included in the bathing environment information, the earlier the bathing time and bathing exit time. Note that the determination unit 230 may also change (adjust) the provisionally determined bathing time and bathing exit time so that the higher the temperature included in the bathing environment information, the later the bathing time and bathing exit time.

[0155] Furthermore, for example, the determination unit 230 determines the bathing time or bathing exit time to be recommended as bathing information according to the water temperature included in the bathing environment information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time or bathing exit time to be earlier the higher the water temperature included in the bathing environment information. Note that the determination unit 230 may also change (adjust) the provisionally determined bathing time or bathing exit time to be later the higher the water temperature included in the bathing environment information.

[0156] Furthermore, for example, the determination unit 230 determines bathing information by referring to the second optimal model 214. For example, the determination unit 230 identifies a pattern (e.g., pattern 1) of the second optimal model 214 in which the bedtime (e.g., 9:30 PM) included in the bedtime schedule information acquired by the acquisition unit 220 matches or is similar to the user's past bedtime in the second optimal model 214. Next, the determination unit 230 determines or provisionally determines the bathing time (e.g., 7:50 PM), the bathing exit time (e.g., 8:00 PM), the bathing duration (e.g., 10 minutes), and the bathing temperature (e.g., 40 to 42 degrees Celsius) as bathing information based on the bedtime (e.g., 9:30 PM) included in the bedtime schedule information and the bathing water temperature (e.g., 40 to 42 degrees Celsius), the bathing duration (e.g., 10 minutes), and the bathing exit time (e.g., 90 minutes before bedtime) included in the recommended bathing conditions associated with the identified pattern (e.g., pattern 1).

[0157] Furthermore, for example, the determination unit 230 determines bathing information according to the physical information acquired by the acquisition unit 220. For example, the determination unit 230 compares the body temperature (most recent body temperature) included in the physical information with the average body temperature (normal body temperature), and changes (adjusts) the provisionally determined bathing time and bathing exit time so that the higher the body temperature is compared with the average body temperature (normal body temperature), the earlier the time before bedtime is set (the longer the time before bedtime is set). Note that the determination unit 230 may also compare the body temperature (most recent body temperature) included in the physical information with the average body temperature (normal body temperature), and change (adjust) the provisionally determined bathing time and bathing exit time so that the higher the body temperature is compared with the average body temperature (normal body temperature), the later the time before bedtime is set (the shorter the time before bedtime is set).

[0158] 9 is a flowchart showing an example of the flow of processing performed by each functional unit in the proposal system 1 according to the second embodiment. Note that the order and content of the following steps can be changed as appropriate.

[0159] (Step SP20) The control unit 250 determines whether a predetermined time has arrived. This predetermined time may be, for example, a time preset in the proposal system 1 (e.g., 6:00 p.m.) or a time preset by the user. If the determination is affirmative, the process proceeds to step SP22. On the other hand, if the determination is negative, the process proceeds to step SP20.

[0160] (Step SP22) The acquisition unit 220 acquires bathing history information from the user information 212. Then, the process proceeds to step SP24.

[0161] (Step SP24) The acquisition unit 220 acquires the sleeping history information from the user information 212. Then, the process proceeds to step SP26.

[0162] (Step SP26) The determination unit 230 determines bathing information based on the bathing history information acquired in step SP22 and the sleeping history information acquired in step SP24. The determination unit 230 also determines recommended sleeping information (bedtime) based on the sleeping history information. For example, the determination unit 230 identifies dates in the sleeping history information on which the overall sleep evaluation information is "good," and calculates the average bathing times, average bathing durations, and average bathing water temperatures included in the bathing history information for the identified dates. The determination unit 230 then determines the calculated average bathing times as the recommended bathing time, the calculated average bathing durations as the recommended bathing durations, and the calculated average bathing water temperatures as the recommended bathing temperatures. The determination unit 230 also determines the calculated average bathing times plus the calculated average bathing durations as the recommended bathing time, and determines the calculated average bathing temperatures as the recommended bathing water temperatures. The determination unit 230 also determines the recommended bathing time by adding the calculated average bathing times to the calculated average bathing durations. Furthermore, for example, the determination unit 230 calculates the average bedtime for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information, and determines the calculated average bedtime as the recommended bedtime information (bedtime). Then, the process proceeds to step SP28.

[0163] (Step SP28) The output unit 240 reflects the bathing information and bedtime information determined in step SP26 in the proposed content 211 and generates a bathing information proposal screen that proposes bathing information to the user before taking a bath. Next, the output unit 240 displays the generated bathing information proposal screen on the output device of the terminal device 30. This bathing information proposal screen is similar to the screen shown in FIG. 8, for example.

[0164] Then, the series of processes shown in FIG. 9 ends.

[0165] <Effects> As described above, the second embodiment includes an acquisition unit 220 that acquires bathing history information related to the user's past bathing and sleeping history information related to the user's past sleeping, a determination unit 230 that determines bathing information to improve the quality of the user's sleep based on the acquired bathing history information and sleeping history information, and an output unit 240 that outputs the determined bathing information to the user.

[0166] According to this configuration, bathing information based on bathing history information and sleeping history information can be suggested to the user.

[0167] In addition, in the second embodiment, the acquisition unit 220 acquires bedtime schedule information regarding the user's bedtime plans, and the determination unit 230 determines the bathing time or bathing exit time to be recommended as bathing information based on the bedtime included in the bedtime schedule information.

[0168] According to this configuration, it is possible to suggest to the user bathing times or bathing exit times that are in line with the user's bedtime schedule.

[0169] In the second embodiment, the determination unit 230 determines a bathing period to be recommended as bathing information.

[0170] This configuration allows the user to be suggested a bathing period that is in line with their bedtime schedule.

[0171] In the second embodiment, the determination unit 230 determines bathing information according to the bathing time when the user takes a bath.

[0172] According to this configuration, bathing information according to the bathing season can be suggested to the user, thereby improving the quality of the user's sleep.

[0173] In the second embodiment, the determination unit 230 determines bathing information according to the temperature inside or outside the bathroom 10 where the user is taking a bath.

[0174] According to this configuration, bathing information according to the temperature at the time of bathing can be proposed to the user, thereby improving the quality of sleep of the user.

[0175] In the second embodiment, the determination unit 230 determines bathing information by referring to an optimal model related to improving sleep quality.

[0176] This configuration makes it possible to provide the user with optimal suggestions for improving the quality of their sleep.

[0177] In the second embodiment, the optimum model is updated in accordance with the sleeping history information.

[0178] According to this configuration, the optimal model is updated according to the user's sleeping history information regarding past sleep habits, so that bathing information suited to the user's sleeping characteristics can be suggested.

[0179] In the second embodiment, the optimal model is updated according to bathing history information.

[0180] According to this configuration, the optimal model is updated according to bathing history information relating to the user's past bathing, so that bathing information suited to the user's bathing characteristics can be proposed.

[0181] In the second embodiment, the acquisition unit 220 acquires physical information about the user's body, and the determination unit 230 determines bathing information according to the physical information.

[0182] According to this configuration, bathing information for improving the quality of sleep of a user can be suggested based on the user's physical information (e.g., physical condition).

[0183] ---Third Embodiment--- Next, a third embodiment will be described.

[0184] The third embodiment differs from the first and second embodiments in that the acquisition unit 220 acquires bathing history information and sleeping history information of the first user, the determination unit 230 determines bathing information to be proposed to the second user based on the acquired bathing history information and sleeping history information, and the output unit 240 outputs (proposes) bathing information to the second user. The first and second users are different users, and are, for example, users who are the same or similar in one or more of gender, age, height, weight, body fat percentage, and BMI index. Note that the configuration and functions of the proposal system 1 according to the third embodiment, which are not described below, are the same as those of the proposal system 1 according to the first and second embodiments.

[0185] In the third embodiment, the acquisition unit 220 acquires bathing history information related to the first user's past bathing and sleeping history information related to the first user's past sleeping. Also, for example, the acquisition unit 220 acquires bedtime schedule information related to the second user's bedtime schedule. Also, for example, the acquisition unit 220 acquires bathing environment information related to the second user's bathing environment on the current date. Also, for example, the acquisition unit 220 acquires physical information related to the second user's body.

[0186] For example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc., for each past date when the first user took a bath from the bathing history information of the first user in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the bedtime, wake-up time, time before bedtime, sleep evaluation information, etc., for each past date from the sleep history information corresponding to the first user in the user information 212.

[0187] Furthermore, for example, the acquisition unit 220 acquires the bedtime and wake-up time for the current date from the bedtime schedule information of the second user in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature, amount of water, air temperature, etc. from the bathing environment information of the second user in the user information 212.

[0188] Furthermore, for example, the acquisition unit 220 acquires the body temperature, average body temperature (normal temperature), and the like from the physical information of the second user in the user information 212 .

[0189] In the third embodiment, the determination unit 230 determines bathing information for improving the quality of sleep of the second user based on the acquired sleeping history information and bathing history information.

[0190] For example, the determination unit 230 identifies a date in the first user's sleeping history information on which the overall sleep evaluation information is "good," and calculates statistical information on bathing times (e.g., average times), statistical information on bathing periods (e.g., average durations), and statistical information on water temperature (e.g., average temperatures) included in the first user's bathing history information for the identified date. The determination unit 230 then determines or provisionally determines the calculated statistical information on bathing times (e.g., average times) as the recommended bathing time, determines or provisionally determines the calculated statistical information on bathing periods (e.g., average durations) as the recommended bathing periods, and determines or provisionally determines the calculated statistical information on water temperature (e.g., average temperatures) as the recommended water temperature. The determination unit 230 also determines or provisionally determines the time calculated by adding the calculated statistical information on bathing times (e.g., average times) to the calculated statistical information on bathing periods (e.g., average durations) as the recommended bathing time to determine or provisionally determine the time calculated as the recommended bathing time.

[0191] Furthermore, for example, the determination unit 230 determines bedtime information (bedtime) to recommend to the second user based on the sleep evaluation information included in the sleep history information. For example, the determination unit 230 calculates statistical information (e.g., average time) of bedtimes for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information, and determines the calculated statistical information (e.g., average time) of bedtimes as the recommended bedtime information (bedtime).

[0192] Furthermore, for example, the determination unit 230 determines or provisionally determines the bathing time or bathing exit time to be recommended as bathing information to the second user based on the bedtime included in the bedtime schedule information of the second user acquired by the acquisition unit 220, and the pre-bedtime and sleep evaluation information included in the bedtime history information of the first user.

[0193] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for dates on which the overall evaluation of the sleep evaluation information is "good" in the first user's sleep history information. Next, the determination unit 230 determines or provisionally determines as the recommended bath time for the second user the time obtained by subtracting the calculated statistical information (e.g., average time) of the time before bedtime from the bedtime included in the second user's bedtime schedule information.

[0194] For example, the determination unit 230 determines a bathing period to be recommended as bathing information. For example, the determination unit 230 identifies a date in the sleep history information on which the overall evaluation of the sleep evaluation information is "good," and determines or provisionally determines statistical information (e.g., average time) of the bathing period included in the bathing history information for the identified date as the bathing period to be recommended to the second user.

[0195] Furthermore, for example, the determination unit 230 determines the bathing information according to the bathing season (e.g., the current date) when the second user will take a bath. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time and bathing exit time so that they are earlier the hotter the bathing season. Note that the determination unit 230 may also change (adjust) the provisionally determined bathing time and bathing exit time so that they are later the hotter the bathing season.

[0196] Furthermore, for example, the determination unit 230 determines bathing information according to the temperature (temperature inside or outside the bathroom 10) included in the bathing environment information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time and bathing exit time so that the higher the temperature included in the bathing environment information of the second user, the earlier the bathing time and bathing exit time. Note that the determination unit 230 may also change (adjust) the provisionally determined bathing time and bathing exit time so that the higher the temperature included in the bathing environment information of the second user, the later the bathing time and bathing exit time.

[0197] Furthermore, for example, the determination unit 230 determines the bathing time or bathing exit time to be recommended as bathing information according to the water temperature included in the bathing environment information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the provisionally determined bathing time or bathing exit time to be earlier the higher the water temperature included in the bathing environment information of the second user. Note that the determination unit 230 may also change (adjust) the provisionally determined bathing time or bathing exit time to be later the higher the water temperature included in the bathing environment information of the second user.

[0198] Furthermore, for example, the determination unit 230 determines bathing information by referring to the second optimal model 214. For example, the determination unit 230 identifies a pattern (e.g., pattern 1) of the second optimal model 214 in which the bedtime (e.g., 9:30 PM) included in the bedtime schedule information of the second user acquired by the acquisition unit 220 matches or is similar to the past bedtime of the second user in the second optimal model 214. Next, the determination unit 230 determines or provisionally determines the bathing time (e.g., 7:50 PM), the bathing exit time (e.g., 8:00 PM), the bathing duration (e.g., 10 minutes), and the bathing temperature (e.g., 40 to 42 degrees Celsius) as bathing information based on the bedtime (e.g., 9:30 PM) included in the bedtime schedule information and the bathing water temperature (e.g., 40 to 42 degrees Celsius), the bathing duration (e.g., 10 minutes), and the bathing exit time (e.g., 90 minutes before bedtime) included in the recommended bathing conditions associated with the identified pattern (e.g., pattern 1).

[0199] Furthermore, for example, the determination unit 230 determines bathing information according to the physical information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 compares the body temperature (most recent body temperature) included in the physical information of the second user with the average body temperature (normal body temperature), and changes (adjusts) the provisionally determined bathing time and bathing exit time so that the higher the body temperature is compared to the average body temperature (normal body temperature), the earlier the time before bedtime will be. Note that the determination unit 230 may also compare the body temperature (most recent body temperature) included in the physical information with the average body temperature (normal body temperature), and change (adjust) the provisionally determined bathing time and bathing exit time so that the higher the body temperature is compared to the average body temperature (normal body temperature), the later the time before bedtime will be.

[0200] In the third embodiment, the output unit 240 outputs to the second user the bathing information determined by the determination unit 230. For example, the output unit 240 displays a bathing information proposal screen on the output device (display) of the terminal device 30 used by the second user.

[0201] 10 is a flowchart showing an example of the flow of processing performed by each functional unit in the proposal system 1 according to the third embodiment. Note that the order and content of the following steps can be changed as appropriate.

[0202] (Step SP30) The control unit 250 determines whether a predetermined time has arrived. This predetermined time may be, for example, a time preset in the proposal system 1 (e.g., 6:00 p.m.) or a time preset by the second user. If the determination is affirmative, the process proceeds to step SP32. On the other hand, if the determination is negative, the process proceeds to step SP30.

[0203] (Step SP32) The acquisition unit 220 acquires the physical information of all users in the user information 212. Next, the control unit 250 extracts one first user who has the same or similar one or more of the gender, age, height, weight, body fat percentage, and BMI index as the second user included in the acquired physical information. Then, the processing proceeds to step SP34.

[0204] (Step SP34) The acquisition unit 220 acquires the bathing history information of the first user extracted in step SP32. For example, the acquisition unit 220 acquires the bathing history information of the first user from the user information 212. Then, the processing proceeds to step SP36.

[0205] (Step SP36) The acquisition unit 220 acquires the sleeping history information of the first user extracted in step SP32. For example, the acquisition unit 220 acquires the sleeping history information of the first user from the user information 212. Then, the processing proceeds to step SP38.

[0206] (Step SP38) The determination unit 230 determines bathing information based on the first user's bathing history information acquired in step SP34 and the first user's sleeping history information acquired in step SP36. The determination unit 230 also determines recommended bedtime information (bedtime) based on the first user's sleeping history information. For example, the determination unit 230 identifies dates in the first user's sleeping history information on which the overall sleep evaluation information is "good," and calculates the average bathing times, average bathing durations, and average bathing water temperatures included in the first user's bathing history information for the identified dates. The determination unit 230 then determines the calculated average bathing times as the recommended bathing time, the calculated average bathing durations as the recommended bathing durations, and the calculated average bathing water temperatures as the recommended bathing temperatures. The determination unit 230 also determines the calculated average bathing times plus the calculated average bathing durations as the recommended bathing times, and determines the calculated average bathing water temperatures as the recommended bathing times. The determination unit 230 also determines the recommended bathing time by adding the calculated average bathing times to the calculated average bathing durations. Furthermore, for example, the determiner 230 calculates the average bedtime for the dates on which the overall evaluation of the sleep evaluation information is "good" in the first user's sleep history information, and determines the calculated average bedtime as the recommended bedtime information (bedtime). Then, the process proceeds to step SP40.

[0207] (Step SP40) The output unit 240 reflects the bathing information and bedtime information determined in step SP38 in the suggested content 211 and generates a bathing information suggestion screen that suggests bathing information to the second user before bathing. Next, the output unit 240 displays the generated bathing information suggestion screen on the output device of the terminal device 30 used by the second user. This bathing information suggestion screen is similar to the screen shown in FIG. 8, for example.

[0208] Then, the series of processes shown in FIG. 10 ends.

[0209] <Effects> As described above, the third embodiment includes an acquisition unit 220 that acquires bathing history information related to a first user's past bathing and sleeping history information related to the first user's past sleeping, a determination unit 230 that determines bathing information for improving the quality of sleep of a second user different from the first user based on the acquired bathing history information and sleeping history information, and an output unit 240 that outputs the determined bathing information to the second user.

[0210] According to this configuration, bathing information can be suggested to a user (second user) based on the bathing history information and sleeping history information of another user (first user).

[0211] In addition, in the third embodiment, the acquisition unit 220 acquires bedtime schedule information regarding the second user's bedtime schedule, and the determination unit 230 determines the bathing time or bathing exit time to be recommended as bathing information based on the bedtime included in the bedtime schedule information.

[0212] According to this configuration, it is possible to suggest to the user (second user) bathing times or bathing exit times that are in line with the user's planned bedtime (schedule).

[0213] In the third embodiment, the determination unit 230 determines a bathing period to be recommended as bathing information.

[0214] According to this configuration, it is possible to suggest to the user (second user) a bathing period that is in line with the user's bedtime schedule.

[0215] In the third embodiment, the determination unit 230 determines bathing information according to the bathing time when the second user takes a bath.

[0216] According to this configuration, bathing information according to the bathing time can be suggested to the user (second user), thereby improving the quality of sleep of the user.

[0217] In addition, in the third embodiment, the determination unit 230 determines bathing information depending on the temperature inside or outside the bathroom 10 where the second user takes a bath.

[0218] According to this configuration, bathing information according to the temperature at the time of bathing can be suggested to the user (second user), thereby improving the quality of sleep of the user.

[0219] In the third embodiment, the determination unit 230 determines bathing information by referring to an optimal model related to improving the quality of sleep.

[0220] According to this configuration, it is possible to provide the user (second user) with optimal suggestions for improving the quality of sleep.

[0221] Furthermore, in the third embodiment, the optimum model is updated in accordance with the sleeping history information regarding the second user's past sleeping.

[0222] According to this configuration, the optimal model is updated according to the sleeping history information regarding the user's (second user's) past sleeping habits, so that bathing information suited to the user's sleeping characteristics can be suggested.

[0223] In the third embodiment, the optimum model is updated according to bathing history information relating to the second user's past sleep.

[0224] According to this configuration, the optimal model is updated according to bathing history information relating to the user's (second user's) past bathing, so that bathing information suited to the user's bathing characteristics can be proposed.

[0225] In the third embodiment, the acquisition unit 220 acquires physical information about the body of the second user, and the determination unit 230 determines bathing information according to the physical information.

[0226] According to this configuration, bathing information for improving the quality of sleep of a user (second user) can be suggested based on the user's physical information (e.g., physical condition).

[0227] In the third embodiment, the first user and the second user are users who are the same or similar in one or more of gender, age, height, weight, body fat percentage, and BMI index.

[0228] According to this configuration, it is possible to suggest to the user (second user) sleeping information based on the sleeping history information and bathing history information of another user (first user) who has the same or similar physical information, thereby improving the quality of sleep of the user.

[0229] <Modifications> The present invention is not limited to the above-described embodiments. In other words, variations on the above-described embodiments, which are appropriately modified by a person skilled in the art, are also included within the scope of the present invention as long as they include the features of the present invention. Furthermore, the elements of the above-described embodiments and the modifications described below can be combined to the extent technically possible, and such combinations are also included within the scope of the present invention as long as they include the features of the present invention.

[0230] For example, in the first embodiment, the control device 20 is described as being provided separately from the terminal device 30A, but it may also be integrated with the terminal device 30A. For example, the output device (e.g., a display) of the terminal device 30A displays the current date and time and the time elapsed since the user started bathing (entering the bathroom 10). The terminal device 30A may also play an alarm when a recommended bathing period for the user has elapsed. The terminal device 30A may also play music while the user is bathing and stop playing the music when the recommended bathing period has elapsed.

[0231] In addition, in the first embodiment, the bathroom 10 is described as being composed of sensors 14a to 14c, a temperature sensor 15, etc., but a sensor that detects the activity level of the user's brain may also be provided.

[0232] In addition, in the first embodiment, the physical conditions of the first optimal model 213 include a comparison condition between body temperature and average body temperature (normal temperature), but the physical conditions may also include a comparison condition between heart rate (pulse) and average heart rate, a comparison condition between electrocardiogram waveform and average electrocardiogram waveform, and comparison information between blood flow velocity and average blood flow velocity.

[0233] In the first embodiment and the like, the bathing information is mainly proposed to the user (second user) before taking a bath, but the bathing information may be proposed to the user while taking a bath. For example, the output unit 240 may cause the terminal device 30 to display a bathing information proposal screen in response to detection by the sensors 14a to 14c or the temperature sensor 15 that the user is taking a bath or entering the bathroom 10.

[0234] In addition, in the first embodiment, etc., the bathing information is described as including the bathing time, the bathing exit time, the bathing duration, the water temperature, etc., but it may also include the pH and water quality of the water, its ingredients (whether bath salts should be used), the brightness of the bathroom 10 (the brightness of the lighting), and the temperature and humidity inside and outside the bathroom 10.

[0235] In the first embodiment and the like, the bedtime information is described as a recommended bedtime or wake-up time, but is not limited to this. For example, the bedtime information may include a recommended bedtime, the type of sleepwear or bedding, the environment of the bedroom or living room (room temperature, humidity, lighting control), the time when electronic devices that emit blue light (smartphones, personal computers, televisions, etc.) may be used, foods and drinks, types of stretching, types of massages, etc.

[0236] Furthermore, in the first embodiment and the like, the statistical information is described as an average value (average time, average time, etc.), but it may be a median, a mode, or the like.

[0237] In addition, in the first embodiment, etc., the determination unit 230 has been described as determining bathing information by referring to the first optimal model 213 and the second optimal model 214, but the bathing information may also be determined by AI (Artificial Intelligence), a predetermined algorithm, or a predetermined calculation formula.

[0238] In addition, in the first embodiment and the like, the determination unit 230 has been described as changing (adjusting) bathing information (bathing time, bathing time, bathing duration, and water temperature) according to planned activity information (bedtime, wake-up time, room temperature in the room to be spent in after bathing, whether or not there are plans to go out and whether or not there are plans to take a bath again), the bathing time when the user will be bathing, and bathing environment information (water temperature and air temperature), but the bathing information may also be determined directly according to some or all of this information.

[0239] In the first embodiment and the like, the first optimal model 213 and the second optimal model 214 are described as tables containing recommended bathing conditions and the like for each user, but they may also be tables shared by multiple users. These multiple users include all users of the proposal system 1, users of the same gender, and users with similar ages, heights, weights, body fat percentages, and BMIs.

[0240] In the third embodiment, the control unit 250 extracts one first user who is identical to or similar in gender, age, etc. to the second user. However, multiple first users may be extracted. In this case, the determination unit 230 identifies dates in the sleep history information of each of the multiple first users on which the overall evaluation of the sleep evaluation information is "good." The determination unit 230 then calculates statistical information on bathing times (e.g., average times), statistical information on bathing periods (e.g., average durations), and statistical information on water temperature (e.g., average temperatures) included in the bathing history information of each of the multiple first users for the identified dates. The determination unit 230 then determines or provisionally determines the calculated statistical information on bathing times (e.g., average times) as the recommended bathing time, determines or provisionally determines the calculated statistical information on bathing periods (e.g., average durations) as the recommended bathing period, and determines or provisionally determines the calculated statistical information on water temperature (e.g., average temperatures) as the recommended water temperature. In addition, the determination unit 230 determines or provisionally determines as the recommended bathing time the time obtained by adding the calculated statistical information of the bathing period (e.g., average time) to the calculated statistical information of the bathing time (e.g., average duration).

Claims

1. A proposal system comprising: an acquisition unit that acquires physical information about a user's body and activity schedule information about the user's planned activities after bathing; a determination unit that determines bathing information to improve the user's quality of sleep based on the acquired physical information and activity schedule information; and an output unit that outputs the determined bathing information to the user.

2. The suggestion system according to claim 1, wherein the activity plan information includes bedtime plan information regarding the user's bedtime plan.

3. The proposal system according to claim 2, wherein the bedtime information includes a bedtime, and the determination unit determines the bathing time or bathing exit time to be recommended as the bathing information based on the bedtime.

4. The proposal system according to claim 3, wherein the determination unit determines the bathing period to be recommended as the bathing information.

5. The proposal system according to claim 4, wherein the determination unit determines the bathing information according to the user's bathing time.

6. The proposal system according to claim 4, wherein the determination unit determines the bathing information according to the temperature inside or outside the bathroom where the user takes a bath.

7. The proposal system according to claim 2, wherein the bedtime plan information includes a wake-up time, and the determination unit determines the bathing time or bathing exit time to be recommended as the bathing information based on the wake-up time.

8. The proposal system according to claim 2, wherein the determination unit determines the bathing information by referring to an optimal model for improving sleep quality.

9. The proposal system according to claim 8, wherein the optimal model is updated according to sleep history information relating to the user's past sleep experiences.

10. The proposal system according to claim 9, wherein the optimal model is updated according to bathing history information relating to the user's past bathing.

11. The proposal system according to claim 1, wherein the planned activity information includes a room temperature plan regarding the room temperature in which the user will stay after taking a bath.

12. The proposal system described in claim 11, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration recommended as the bathing information based on the room temperature schedule.

13. The proposal system according to claim 1, wherein the planned activity information includes plans for the user to go out after taking a bath.

14. The proposal system described in claim 13, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration to be recommended as the bathing information based on the user's plans to go out.

15. The proposal system of claim 1, wherein the planned activity information includes a re-bathing plan regarding the user's re-bathing after taking a bath.

16. The proposal system described in claim 15, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the water temperature and the bathing duration to be recommended as the bathing information based on the user's planned next bath.

17. A non-transitory computer-readable storage medium that records a program that causes a computer to function as: an acquisition unit that acquires physical information about a user's body and activity schedule information about the user's planned activities after bathing; a determination unit that determines bathing information to improve the user's sleep quality based on the acquired physical information and activity schedule information; and an output unit that outputs the determined bathing information to the user.

18. A control device comprising: an acquisition unit that acquires physical information about a user's body and activity schedule information about the user's planned activities after bathing; a determination unit that determines bathing information to improve the quality of the user's sleep based on the acquired physical information and activity schedule information; and an output unit that outputs the determined bathing information to the user.

Images