Mental state management system, house, program, and mental state management method

Abstract

To obtain a mental state management system capable of appropriately setting contents of the improvement action for improving a mental state of a resident and an execution room.SOLUTION: A mental state management system (1) includes: a sensor (3) which is installed in each of a plurality of rooms and detects the behavior of a resident; an information processing device (2) which includes the steps of: calculating a determination point by scoring a detection result of a specific behavior of the resident by the sensor on a room-by-room basis; estimating a mental state of the resident and the state intensity thereof based on an aggregation result of the calculated determination points on the room-by-room basis; setting contents of the improvement action for improving the estimated mental state and the state intensity according to the estimated mental state and the state intensity; and setting an execution room for executing the improvement action among a plurality of rooms based on the determination points; and an outputting device (4) for outputting the action suggestion information indicating the contents of the improvement action set by the information processing device and the execution room to the residents.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a mental state management system for managing the mental state of a resident of a house, a house, a program, and a mental state management method. [Background technology]

[0002] Patent Document 1 below discloses a state determination system according to the background art. A biological information acquisition means periodically acquires biological information of a resident using a biological sensor installed in the house. A behavioral information acquisition means periodically acquires daily behavior information related to the resident's daily behavior in the house using a behavior sensor installed in the house. A state determination means determines the mental state of the resident based on changes in the biological information of the resident acquired by the biological information acquisition means and changes in the daily behavior information of the resident acquired by the behavioral information acquisition means. A suggestion means suggests recommended behavior to the resident according to the mental state of the resident determined by the state determination means. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-166413 Summary of the Invention [Problem to be solved by the invention]

[0004] According to the above-mentioned Patent Document 1, it is disclosed that recommended actions are suggested to the resident depending on the resident's mental state, but the content of the actions and optimization of the room in which they are performed are not specifically considered.

[0005] The present invention has been made in consideration of the above circumstances, and aims to provide a mental state management system, a house, a program, and a mental state management method that are capable of appropriately setting the content and execution room of improvement actions to improve the mental state of residents. [Means for solving the problem]

[0006] A mental state management system according to one aspect of the present invention is a mental state management system that manages the mental state of a resident of a house having multiple rooms, and comprises: a sensor installed in each of the multiple rooms to detect the behavior of the resident; an information processing device that calculates judgment points by scoring the results of the detection of specific behavior of the resident by the sensor on a room-by-room basis, estimates the mental state of the resident and its condition intensity based on the aggregation results of the calculated judgment points on a house-by-house basis, sets the content of improvement actions to improve the estimated mental state and condition intensity, and sets an execution room among the multiple rooms in which the improvement action will be performed based on the judgment points; and an output device that outputs action suggestion information indicating the content of the improvement action and the execution room set by the information processing device to the resident.

[0007] According to this aspect, the information processing device calculates a judgment point by scoring the results of the detection of a specific behavior of the resident by the sensor on a room-by-room basis. The information processing device also sets the content of an improvement action to improve the estimated mental state of the resident based on the state intensity, and sets an execution room for the improvement action among a plurality of rooms based on the judgment point. As a result, it is possible to appropriately set the content and execution room of the improvement action to improve the resident's mental state.

[0008] In the above aspect, the information processing device performs a calculation process of the judgment point based on the results of comparing specific information indicating the specific behavior detected by the sensor with specified basic data, and sets the average value of the accumulated specific information as the basic data.

[0009] According to this aspect, by setting the average value of the accumulated specific information as the basic data, it becomes possible to execute the calculation process of the judgment point using appropriate basic data.

[0010] In the above aspect, in the process of calculating the judgment point, the information processing device calculates the judgment point based on the results of comparing the specific information detected by the sensor with specified judgment basic data, and sets the average value of the specific information accumulated within the most recent specified period as the judgment basic data.

[0011] According to this aspect, by setting the average value of the specific information accumulated within the most recent predetermined period as the judgment basis data, it becomes possible to calculate the judgment points using appropriate judgment basis data.

[0012] In the above aspect, the predetermined period is set to any one of 7 days to 10 days.

[0013] According to this embodiment, the period of observation necessary to encourage caution during the duration of a depressive state is said to be two to three weeks. Therefore, by setting the specified period at seven to ten days, which is half of that, it is possible to achieve the effect of preventing a deterioration in mental state.

[0014] In the above aspect, the mental state includes a manic state and a depressive state, and the information processing device calculates the judgment points separately for the manic state and the depressive state.

[0015] According to this aspect, it is possible to detect both a manic state and a depressive state as aspects of a worsening mental state.

[0016] In the above aspect, the information processing device estimates the state intensity based on a difference value between the aggregate value of the judgment points related to the manic state and the aggregate value of the judgment points related to the depressive state for each of the houses.

[0017] According to this aspect, by using the difference value between the aggregated value of judgment points related to a manic state and the aggregated value of judgment points related to a depressive state on a per-house basis, it is possible to appropriately estimate the intensity of the resident's mental state.

[0018] In the above aspect, the information processing device sets a room in which the improvement action is to be performed based on the difference value, for each room, between the aggregate value of the judgment points related to the manic state and the aggregate value of the judgment points related to the depressive state.

[0019] According to this aspect, by using the difference value for each room between the total value of the judgment points related to the manic state and the total value of the judgment points related to the depressive state, it is possible to appropriately set the room in which the improvement action is to be performed.

[0020] A house according to one aspect of the present invention includes a plurality of rooms and the mental state management system according to the above aspect.

[0021] According to this aspect, it is possible to appropriately set the content of the improvement action for improving the mental state of the resident and the room in which the action is to be performed.

[0022] A program according to one aspect of the present invention is a program for operating an information processing device provided in a mental state management system that manages the mental state of residents of a house having multiple rooms, wherein a sensor is installed in each of the multiple rooms to detect the behavior of the resident, and the information processing device calculates judgment points by scoring the results of detection of specific behavior of the resident by the sensor on a room-by-room basis, estimates the mental state of the resident and its condition intensity based on the aggregated results of the calculated judgment points on a house-by-house basis, sets the content of improvement actions to improve the estimated mental state and condition intensity, and sets an execution room among the multiple rooms in which to perform the improvement action based on the judgment points.

[0023] According to this aspect, it is possible to appropriately set the content of the improvement action for improving the mental state of the resident and the room in which the action is to be performed.

[0024] A mental state management method according to one aspect of the present invention is a mental state management method for managing the mental state of a resident of a house having multiple rooms, wherein a sensor for detecting the behavior of the resident is installed in each of the multiple rooms, and an information processing device calculates judgment points by scoring the results of detection of specific behavior of the resident by the sensor on a room-by-room basis, estimates the mental state of the resident and its condition intensity based on the aggregated results of the calculated judgment points on a house-by-house basis, sets the content of improvement actions to improve the estimated mental state and condition intensity, and sets an execution room among the multiple rooms in which to perform the improvement action based on the judgment points.

[0025] According to this aspect, it is possible to appropriately set the content of the improvement action for improving the mental state of the resident and the room in which the action is to be performed. [Effects of the Invention]

[0026] According to the present invention, it is possible to appropriately set the content of improvement actions for improving the mental state of a resident and the room in which the actions are to be performed. [Brief explanation of the drawings]

[0027] [Figure 1] 1 is a diagram schematically illustrating the overall configuration of a mental state management system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a diagram showing a simplified configuration of an information processing device. [Figure 3] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 4] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 5] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 6] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 7] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 8]10 is a flowchart showing the processing content executed by an information processing unit. [Figure 9] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 10] 10 is a flowchart showing the processing content executed by an information processing unit. [Figure 11] FIG. 10 is a diagram showing a simplified example of room-based judgment point data. [Figure 12] FIG. 10 is a simplified diagram showing an example of house-unit judgment point data. [Figure 13] FIG. 10 is a simplified diagram illustrating an example of an improvement action table. DETAILED DESCRIPTION OF THE INVENTION

[0028] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Elements with the same reference numerals in different drawings indicate the same or corresponding elements.

[0029] FIG. 1 is a diagram showing a schematic diagram of the overall configuration of a mental state management system 1 according to an embodiment of the present invention.

[0030] The mental state management system 1 is established in a house 100 having a plurality of rooms 101 (101A to 101C in the example of FIG. 1). The rooms 101 include a living room, a dining room, a bedroom, and the like.

[0031] The mental state management system 1 includes an information processing device 2, sensors 3 (3A to 3C in the example of FIG. 1 ), and an output device 4. The information processing device 2 is a server device such as an edge server in the house 100 or a cloud server outside the house 100. The sensors 3 are installed in each of a plurality of rooms 101 and detect the behavior of the resident. In the example of the present embodiment, the sensors 3 are microphones that detect sounds emitted by the resident. The output device 4 is any output device such as a display or speaker for outputting action suggestion information (described later) to the resident. The output device 4 may also be a communication terminal such as a smartphone or tablet device carried by the resident. The information processing device 2 is connected to the sensors 3 and the output device 4 so as to be able to communicate with each other via any communication network 5 such as a wireless LAN.

[0032] The information processing device 2 calculates judgment points by scoring the results of the detection of specific behavior of the resident by the sensor 3 on a room-by-room basis. The information processing device 2 also estimates the mental state of the resident and the intensity of that state based on the tallying results of the calculated judgment points on a house-by-house basis. The information processing device 2 also sets the content of improvement actions to improve the estimated mental state and the intensity of the state. The information processing device 2 also sets an execution room among the multiple rooms 101 in which to perform the improvement action based on the judgment points. These processes will be described in detail later.

[0033] 2 is a diagram showing a simplified configuration of the information processing device 2. The information processing device 2 includes an information processing unit 11, a storage unit 12, and a communication processing unit 13, which are interconnected via a bus. The information processing unit 11 is configured using a processor such as a CPU. The storage unit 12 is configured using a storage medium such as an HDD, SSD, or flash memory. The communication processing unit 13 is configured using a communication module compatible with the communication protocol of the communication network 5, such as IP.

[0034] A program 20 is stored in the memory unit 12. The information processing device 2 operates as described below when the information processing unit 11 executes the program 20 read from the memory unit 12. The memory unit 12 also stores specific information 21, basic data 22, judgment basic data 23, room-based judgment point data 24, house-based judgment point data 25, and an improvement action table 26. These will be described in detail below.

[0035] 3 to 10 are flowcharts showing the processing contents executed by the information processing unit 11.

[0036] FIG. 3 shows sensing processing by the sensor 3 in each of a plurality of rooms 101.

[0037] First, in step S1, the information processing unit 11 detects that a resident has entered a certain room 101 based on the detection result of a motion sensor (not shown) or the like installed in the room 101.

[0038] Next, in step S2, the information processing unit 11 starts detecting the behavior of the resident in the room 101 where entry has been detected. In the example of this embodiment, the information processing unit 11 starts processing to detect the voice of the resident using a microphone installed in the room 101 where entry has been detected.

[0039] Next, in step S3, the information processing section 11 executes a behavior determination process, the details of which will be described later with reference to FIG.

[0040] Next, when the information processing section 11 detects in step S4 that the resident has left the room 101, the information processing section 11 ends the detection of the resident's behavior in step S5.

[0041] FIG. 4 shows the behavior determination process by the information processing unit 11 (step S3 in FIG. 3).

[0042] First, in step S11, the information processing unit 11 determines, based on the detection result of the sensor 3, whether or not a specific behavior (vocalization in this example) by the resident has been detected.

[0043] If the specific behavior is not detected (step S11: NO), the information processing section 11 repeatedly executes the process of step S11.

[0044] If a specific behavior is detected (step S11: YES), then in step S12, the information processing unit 11 acquires specific information 21 associated with the specific behavior and stores the acquired specific information 21 in the memory unit 12. As a result, the specific information 21 is accumulated in the memory unit 12. In the example of this embodiment, the specific information is the volume, pitch, and speaking speed of the resident's voice detected by the microphone.

[0045] Next, in step S13, the information processing unit 11 compares the specific information 21 acquired in step S12 with predetermined basic data 22 to determine whether the specific information 21 fluctuates from the basic data 22 by more than a predetermined threshold value. Details of the basic data 22 will be described later with reference to Fig. 5. The specific information 21 may be an average value during the period when the resident is present in the room, a maximum value, or the value detected by the sensor 3 itself.

[0046] If the specific information 21 has changed relative to the basic data 22 (step S13: YES), then in step S14 the information processing unit 11 executes a judgment point calculation process. Details of the judgment point calculation process will be described later with reference to Fig. 6. If the specific information 21 has not changed relative to the basic data 22 (step S13: NO), the process of step S14 is omitted.

[0047] Next, in step S15, the information processing unit 11 stores the judgment points calculated in step S14 in the storage unit 12. As a result, the room-unit judgment point data 24 is accumulated in the storage unit 12.

[0048] FIG. 5 shows the process of setting the basic data 22.

[0049] First, in step S21, the information processing unit 11 acquires from the storage unit 12 the specific information 21 that has been accumulated over the entire period from the start of operation of the system in the house 100 to the present.

[0050] Next, in step S22, the information processing unit 11 calculates the average value of the specific information 21 acquired in step S21.

[0051] Next, in step S23, the information processing unit 11 sets the average value calculated in step S22 as basic data 22 and stores it in the storage unit 12. The information processing unit 11 executes the setting process of the basic data 22 periodically (for example, at a fixed time every day).

[0052] FIG. 6 shows the judgment point calculation process by the information processing unit 11 (step S14 in FIG. 4).

[0053] First, in step S31, the information processing unit 11 determines whether or not the value detected by the sensor 3 exceeds predetermined determination basic data 23. Details of the determination basic data 23 will be described later with reference to FIG.

[0054] If the detection value by the sensor 3 exceeds the judgment basic data 23 (step S31: YES), then in step S32, the information processing unit 11 adds one judgment point to the current room-unit judgment point data 24 read from the storage unit 12, and stores the updated room-unit judgment point data 24 in the storage unit 12. As a result, the updated room-unit judgment point data 24 is accumulated in the storage unit 12.

[0055] FIG. 11 is a simplified diagram showing an example of room-based judgment point data 24. The mental states of residents managed by the mental state management system 1 according to this embodiment include both manic and depressive states. The information processing unit 11 calculates judgment points for manic and depressive states separately. Specifically, the information processing unit 11 calculates manic points as judgment points related to manic states, and depression points as judgment points related to depressive states. As shown in FIG. 11, the information processing unit 11 calculates manic points and depression points separately for each type of specific information 21, such as the volume, pitch, and speed of voice, for each room, such as the living room, dining room, and bedroom.

[0056] The information processing unit 11 performs the process of tallying up the judgment points at a fixed time every day, and if there are multiple entries and exits to a certain room 101 in one day, the total value for that day is calculated as the judgment points for that room 101.

[0057] FIG. 7 shows the process of setting the determination basis data 23 by the information processing unit 11.

[0058] First, in step S41, the information processing unit 11 acquires the specific information 21 stored for the most recent predetermined period (10 days in this example) from the storage unit 12. Considering that the period of observation necessary to call attention to the duration of a depressive state is said to be two to three weeks, the predetermined period is set to any one of seven to ten days, which corresponds to half the assessment period.

[0059] Next, in step S42, the information processing unit 11 calculates the average value of the specific information 21 acquired in step S41.

[0060] Next, in step S43, the information processing unit 11 sets the average value calculated in step S42 as the determination basic data 23 and stores it in the storage unit 12. The information processing unit 11 executes the process of setting the determination basic data 23 periodically (for example, at a fixed time every day).

[0061] 8 shows the process of determining the mental state of a resident by the information processing unit 11. The information processing unit 11 performs the process of determining the mental state periodically (for example, at a fixed time every day).

[0062] First, in step S51, the information processing unit 11 calculates the house-wide judgment point data 25 by adding up the judgment points of the room-wide judgment point data 24 stored in the storage unit 12 for the entire house.

[0063] Fig. 12 is a simplified diagram showing an example of the home-based judgment point data 25. As shown in Fig. 12, the information processing unit 11 calculates mania points and depression points individually for each type of specific information 21, such as the volume, pitch, and speed of the voice, on a home-by-home basis.

[0064] Next, in step S52, the information processing unit 11 calculates the total mania points and depression points for the house-level judgment point data 25 calculated in step S51. In the example shown in Figure 12, the total mania points is 2 + 1 = 3, and the total depression points is 5 + 3 + 6 = 14.

[0065] Next, in step S53, the information processing unit 11 calculates the difference between the total mania points and the total depression points calculated in step S52. In the example shown in Fig. 12, the difference is 3-14=-11.

[0066] Next, in step S54, the information processing unit 11 determines the difference value calculated in step S53 as the resident's mental state score. The mental state point is an index that indicates the resident's mental state (manic state or depressive state) and the intensity of that state. A positive sign of the mental state point indicates a manic state, a negative sign indicates a depressive state, and the magnitude of the absolute value indicates the intensity of the manic or depressive state.

[0067] Next, in step S55, the information processing section 11 executes an improvement action decision process based on the mental state points determined in step S54. Details of the improvement action decision process will be described later with reference to FIG.

[0068] 9 shows the improvement action decision process performed by the information processing unit 11. The information processing unit 11 executes the improvement action decision process periodically (for example, at a fixed time every day).

[0069] First, in step S61, the information processing unit 11 reads out the improvement action table 26 from the storage unit 12.

[0070] 13 is a simplified diagram showing an example of the improving behavior table 26. The improving behavior table 26 sets a correspondence relationship between mental state points and behavioral details. The smaller the absolute value of the mental state point (i.e., the lower the intensity of the manic or depressive state), the more behavioral details that involve physical activity are set, and the larger the absolute value of the mental state point (i.e., the higher the intensity of the manic or depressive state), the more behavioral details that involve physical rest are set. Note that even if the absolute value of the mental state point is the same, different behavioral details may be set for a manic state (positive sign) and a depressive state (negative sign).

[0071] Next, in step S62, the information processing unit 11 refers to the improvement behavior table 26 to set the behavior content corresponding to the resident's mental state point determined in step S54 as the content of the improvement behavior.

[0072] Next, in step S63, the information processing unit 11 calculates the total mania points and depression points for each room by reading the room-based judgment point data 24 from the storage unit 12. In the example shown in Figure 11, the total mania points for the living room are 0 and the total depression points are 3, the total mania points for the dining room are 1 and the total depression points are 5, and the total mania points for the bedroom are 2 and the total depression points are 4.

[0073] Next, in step S64, the information processing unit 11 calculates the difference between the total mania and depression points for each room based on the total mania and depression points for each room calculated in step S63. In the example shown in Fig. 11, the difference is -3 for the living room, -4 for the dining room, and -2 for the bedroom.

[0074] Next, in step S65, the information processing unit 11 compares the difference values ​​calculated for each room in step S64.

[0075] Next, in step S66, the information processing unit 11 sets the room with the smallest absolute value of the difference value among rooms as the most suitable room for the resident to perform improvement actions, based on the comparison result in step S65, on the premise that the more comfortable a room is for the resident, the smaller the absolute value of the difference value.

[0076] FIG. 10 shows the process of the information processing unit 11 suggesting improvement actions to the resident.

[0077] First, in step S71, the information processing unit 11 detects that a resident has entered a certain room 101 based on the detection result of a human presence sensor (not shown) or the like installed in the room 101.

[0078] Next, in step S72, the information processing unit 11 determines whether or not the room 101 into which entry was detected in step S71 is the execution room set in step S66.

[0079] If the room 101 where entry was detected is the execution room (step S72: YES), then in step S73 the information processing unit 11 controls the output device 4 to output action suggestion information indicating the content of the improvement action and the execution room to the resident. The action suggestion information may be output as a display on a display or as an audio output from a speaker. On the other hand, if the room 101 where entry was detected is not the execution room (step S72: NO), the processing of step S73 is omitted.

[0080] The information processing unit 11 may cause the output device 4 to output the action suggestion information at a fixed time every day (for example, during relaxation time after dinner) rather than using the resident's entry into the execution room as a trigger for outputting the action suggestion information. Alternatively, the sensor 3, such as a camera, may detect a time when the resident is not doing housework or running errands, such as when the resident is sitting on a sofa or operating a smartphone, and the information processing unit 11 may cause the output device 4 to output the action suggestion information at that time.

[0081] The information processing unit 11 may manage the mental state of each of the multiple residents individually by distinguishing between people through voice frequency analysis or the like.

[0082] Furthermore, the sensor 3 for detecting the behavior of the resident is not limited to a microphone. A sensor for detecting the physical symptoms of the resident, a sensor for detecting the grooming of the resident, or a sensor for detecting the status of housework being performed by the resident may also be used.

[0083] Sensors that detect residents' physical symptoms include microphones, motion sensors that detect the time residents are at home, cameras that use image analysis to detect eating habits, sleep sensors that detect sleeping habits, facial expression sensors that detect facial expressions, body temperature sensors that detect body temperature non-contact, and odor sensors that detect body odor.

[0084] Sensors that detect a resident's grooming include a shower sensor that detects the amount of time the shower is used, a water level sensor that detects the amount of time spent bathing, and a camera that uses image analysis to detect the frequency or time required for applying makeup, brushing teeth, and styling hair.

[0085] Sensors that detect the status of household chores performed by residents include power sensors or microphones that detect the usage status of washing machines, vacuum cleaners, dishwashers, etc., weight sensors mounted on trash cans to detect how often trash is emptied, odor sensors that detect odors in the room, and open / close sensors installed on the doors to storage spaces for cleaning tools to detect how often cleaning is performed.

[0086] According to the mental state management system 1 of this embodiment, the information processing device 2 calculates judgment points by scoring the results of the detection of specific behavior of the resident by the sensor 3 on a room-by-room basis. Furthermore, the information processing device 2 sets the content of improvement actions to improve the estimated mental state of the resident according to the intensity of the state, and sets an execution room among the multiple rooms 101 in which to perform the improvement action based on the judgment points. As a result, it is possible to appropriately set the content and execution room of improvement actions to improve the mental state of the resident. [Explanation of symbols]

[0087] 1. Mental Status Management System 2. Information processing equipment 3A~3C sensors 4 Output Devices 11 Information Processing Department 12 Storage section 20 Programs 21 Specific information 22 Basic Data 23 Basic data for judgment 24 Room-by-room judgment point data 25 Housing unit judgment point data 26 Improvement Action Table 100 Housing 101A~101C Sensors

Claims

1. A mental state management system for managing the mental state of a resident of a house having multiple rooms, a sensor installed in each of the plurality of rooms to detect the behavior of the resident; an information processing device that calculates a judgment point by scoring the result of detection of the specific behavior of the resident by the sensor for each room, estimates the mental state of the resident and its state intensity based on the calculated judgment point total for each house, sets the content of an improvement action to improve the estimated mental state and state intensity, and sets an execution room among the plurality of rooms in which the improvement action will be executed based on the judgment point; an output device that outputs to the resident action suggestion information indicating the content of the improvement action set by the information processing device and the room in which the improvement action is to be performed; A mental state management system comprising:

2. The information processing device includes: Calculating the judgment points based on a comparison result between specific information indicating the specific behavior detected by the sensor and predetermined basic data; The mental state management system according to claim 1 , wherein an average value of the accumulated specific information is set as the basic data.

3. The information processing device includes: In the calculation process of the judgment point, the judgment point is calculated based on a comparison result between the specific information detected by the sensor and predetermined judgment basic data; The mental state management system according to claim 2, wherein an average value of the specific information accumulated within a recent predetermined period is set as the basic data for judgment.

4. The mental state management system according to claim 3 , wherein the predetermined period is set to any one of seven days to ten days.

5. the psychiatric conditions include mania and depression; The mental state management system according to any one of claims 1 to 4, wherein the information processing device calculates the judgment points for a manic state and a depressive state separately.

6. 6. The mental state management system according to claim 5, wherein the information processing device estimates the state intensity based on a difference value between a total value of the judgment points related to the manic state and a total value of the judgment points related to the depressive state for each of the houses.

7. 7. The mental state management system according to claim 5, wherein the information processing device sets a room in which the improvement behavior is to be performed based on a difference value per room between the aggregated value of the judgment points related to the manic state and the aggregated value of the judgment points related to the depressive state.

8. Multiple rooms and A mental state management system according to any one of claims 1 to 7; A house equipped with:

9. A program for operating an information processing device provided in a mental state management system for managing the mental states of residents of a house having multiple rooms, a sensor for detecting the behavior of the resident is installed in each of the plurality of rooms; The information processing device calculates judgment points by scoring the results of detection of specific behavior of the resident by the sensor on a room-by-room basis, estimates the mental state of the resident and the intensity of that state based on the calculated judgment points aggregated on a house-by-house basis, sets the content of improvement actions to improve the estimated mental state and the intensity of the state, and sets an execution room among the multiple rooms in which to perform the improvement action based on the judgment points.

10. A mental state management method for managing the mental state of a resident of a house having multiple rooms, comprising: a sensor for detecting the behavior of the resident is installed in each of the plurality of rooms; A mental state management method in which an information processing device calculates judgment points by scoring the results of detection of specific behavior of the resident by the sensor on a room-by-room basis, estimates the resident's mental state and the intensity of that state based on the calculated judgment points aggregated on a house-by-house basis, sets the content of improvement actions to improve the estimated mental state and the intensity of the state, and sets an execution room among the multiple rooms in which the improvement action will be performed based on the judgment points.

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