Server device, system and program

Abstract

To provide a server device, system and program with which it is possible to more suitably manage the psychosomatic state of a user.SOLUTION: In an information processing system, a management device 10 that functions as a server comprises: an assistance information management unit 150 which is a storage unit for storing assistance information that helps to improve or maintain the psychosomatic state of a user; a user information management unit 110 which is an acquisition unit for acquiring the user data of a first and a second user; and an assistance information determination unit 170 which is a notification unit for notifying the second user of assistance information that helps to assist the first user, on the basis of the user data of the first and second users, and also serves as a switching unit for acquiring data that indicates the intellectual capacity of the first and second users and switching assistance information that is notified to the second user and helps to assist the first user, on the basis of a difference in the intellectual capacity of the first and second users.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a server device, a system, and a program. [Background technology]

[0002] Patent Document 1 discloses a health management system that allows employees to self-report stress checks on an ongoing basis without any burden. A control device in this health management system controls a vending machine to provide free products when a mental value is received, and controls the vending machine to not provide free products when a mental value is not received. The control device also transmits user identification information and mental values ​​to a management server. The management server accumulates and manages the mental values ​​in association with the user's identification information, and notifies a supervisor of warning information when a user is determined to meet a warning condition. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-72964 Summary of the Invention [Problem to be solved by the invention]

[0004] In the technology described in Patent Document 1, information about a user who is determined to satisfy a caution condition is notified to the user's supervisor. However, if the supervisor's mental state is not good, for example, even if the information is notified to the supervisor, the supervisor may not take appropriate action if the supervisor's mental state is not good. As a result, the user's physical and mental state is not managed appropriately.

[0005] Therefore, an object of the present invention is to provide a server device etc. that can more appropriately manage the mental and physical state of a user. [Means for solving the problem]

[0006] For this purpose, the technology disclosed in this specification is a server device including: a memory unit that stores support information for improving or maintaining a user's physical and mental state; an acquisition unit that acquires user data of a first user and a second user; and a notification unit that notifies the second user of support information for supporting the first user based on the user data of the first user and the second user. The notification unit may also notify the second user of support information for supporting the first user, and may also notify the second user of support information for supporting the second user. The notification unit may also notify the second user of support information for supporting the second user with priority over support information for supporting the first user. The notification unit may also notify the second user of assistance information for supporting the first user based on the time required to execute assistance information for supporting the second user. The notification unit may also notify the first user of support information for supporting the first user, as well as the second user. Furthermore, the notification unit may notify the second user of support information for supporting the first user, and then notify the first user of support information for supporting the first user. In addition, the notification unit may notify the second user of support information to support the first user, and then notify the first user of support information to support the first user after a change in the second user is confirmed. The user data may also include at least one of data indicating the user's thinking ability, data indicating the user's personality tendencies, and data indicating the user's resilience. The system may also include an environment information acquisition unit that acquires information about the environment in which the first user is located, and the notification unit may notify the second user of support information that supports the first user based on the environment information. The system may further include a reliability acquisition unit that acquires the reliability of the first user in a group that includes the first user and the second user, and the notification unit may identify the first user in support information that supports the first user and is notified to the second user when the reliability is high, and may not identify the first user in support information that supports the first user and is notified to the second user when the reliability is low.

[0007] From yet another perspective, the technology disclosed in this specification is a system comprising a terminal and a server device, wherein the server device comprises: a memory unit that stores support information for improving or maintaining a user's physical and mental state; an acquisition unit that acquires user data of a first user and a second user; and a notification unit that notifies the second user of support information for supporting the first user based on the user data of the first user and the second user.

[0008] From yet another perspective, the technology disclosed in this specification is a program that causes a computer to execute the steps of storing support information that improves or maintains a user's physical and mental state, acquiring user data of a first user and a second user, and notifying the second user of support information that supports the first user based on the user data of the first user and the second user.

[0009] From yet another perspective, the technology disclosed in this specification is a server device that includes a memory unit that stores support information that improves or maintains the user's physical and mental state, an acquisition unit that acquires data indicating the thinking ability of a first user and a second user, and a switching unit that switches the support information that is notified to the second user and supports the first user based on the difference in thinking ability between the first user and the second user. [Effects of the Invention]

[0010] According to the present invention, a server device and the like are provided that can more appropriately manage the mental state of a user. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of the overall configuration of an information processing system to which an embodiment of the present invention is applied; [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of a management device. [Figure 3] 10A is a diagram showing an example of registration information TB, and FIG. 10B is a diagram showing an example of compatibility TB. [Figure 4] 10A is a diagram showing an example of a team state TB, and FIG. 10B is a diagram showing an example of a relationship TB. [Figure 5] (A) is a diagram showing an example of a user stress level TB, (B) is a diagram showing an example of a user physiological information TB, (C) is a diagram showing an example of a team stress level TB, and (D) is a diagram showing an example of environmental information TB. [Figure 6-1] 10A is a diagram showing an example of self-factor support information TB. FIG. [Figure 6-2] 10B is a diagram showing an example of other-factor support information TB. [Figure 7] 10A to 10D are diagrams for explaining self-factor support information and other-factor support information. [Figure 8] 1 is a flowchart illustrating a schematic operation of the information processing system. [Figure 9] 10 is a flowchart showing a support information selection process executed by a support information determination unit. [Figure 10] 10 is a flowchart showing an individual presentation setting process executed by a support information determination unit. [Figure 11] 10 is a flowchart showing a stage-based output process executed by a support information determination unit. [Figure 12] FIG. 2 illustrates an example of a hardware configuration of a management apparatus. [Figure 13] 10 is a flowchart showing a support switching process executed by a support information determination unit. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, another embodiment of the present invention will be described with reference to the accompanying drawings. <Information Processing System 1> FIG. 1 is a diagram showing an example of the overall configuration of an information processing system 1 to which this embodiment is applied. 1, the information processing system 1 includes a management device 10 and terminals 30, 40, 50, and 60. The management device 10 and the terminals 30, 40, 50, and 60 are connected to one another via a network 90.

[0013] The management device 10 is configured by a computer device. The management device 10 functions as a server in the information processing system 1. The management device 10 of this embodiment executes various controls required to improve the mental state of the user among the terminals 30, 40, 50, and 60.

[0014] Each of the terminals 30, 40, 50, and 60 is configured by a computer device such as a smartphone, a notebook computer, a desktop computer, a tablet computer, a wearable device, or a mobile phone. The terminals 30, 40, 50, and 60 function as clients in the information processing system 1. In the following description, when there is no need to distinguish between the terminals 30, 40, 50, and 60, they may be referred to as terminal 30, etc.

[0015] Here, terminals 30, 40, 50, and 60 are operated by user A, user B, user C, and user D, who are users of information processing system 1, respectively. Note that in the illustrated example, four terminals 30, 40, 50, and 60 are shown, but the number is not particularly limited, and terminals other than terminals 30, 40, 50, and 60 may be included.

[0016] The network 90 is a communication network used for exchanging data between devices. The illustrated network 90 is configured by the Internet, but is not limited to this. The network 90 may be, for example, a local area network (LAN) or a wide area network (WAN). The communication lines of the network 90 may be wired or wireless, or a combination of both.

[0017] The information processing system 1 allows a user operating a terminal 30 or the like to use a specific service provided by the management device 10. More specifically, when the management device 10 detects that a user is unwell or that the user will become unwell in the future, the information processing system 1 notifies the user of support information for improving or maintaining the user's mental and physical condition. That is, the information processing system 1 supports a user who is unwell or is predicted to become unwell in the future (unwell user) by notifying the support information. Furthermore, the information processing system 1 of this embodiment may notify other users in the group to which the unwell user belongs of information to support the unwell user. The other users support the unwell user in accordance with this support information, thereby improving or maintaining the unwell user's mental and physical condition. That is, the information processing system 1 indirectly supports the unwell user through the other users. Furthermore, to support the unwell user, the information processing system 1 encourages thoughts and behavioral changes in those around the unwell user (other users) who may be causing the unwell user's unwellness. In addition, the information processing system 1 notifies other users of support information and changes the environment in which the unwell user is placed, thereby improving or maintaining the mental and physical state of the unwell user. Here, improving or maintaining the mental and physical state of the unwell user reduces the impact on other users belonging to the group. As a result, the performance of the group can be improved. In other words, the information processing system 1 improves the performance of the group by managing the mental and / or physical state of the users.

[0018] Here, improving or maintaining the user's mental and physical state refers to improving or maintaining at least one of the user's mental and physical states. Furthermore, a user's ill health refers to a state in which at least one of the user's mental and physical states is undesirable in the context of the group to which the user belongs. For example, a user's ill health includes a state in which the target user feels strong stress, a state in which a conflict is imminent between the target user and other users, a state in which the target user is not in good physical condition, and the like. Here, a user's ill health does not require that the user himself / herself be aware of his / her ill health. In other words, a user's ill health includes a state in which the user's mental and / or physical state has changed from a normal state (steady state) even though the user himself / herself is not aware of the ill health.

[0019] In the following example, User A, User B, User C, and User D are members (employees) belonging to one department (group, Group A) in a company organization. Note that the group is not particularly limited as long as it includes multiple members. For example, the group may not only be a company department, but also an entire company, a school, a class, a local organization, a sports team, the government, an international organization, the Diet, a university, a research lab, a family, etc.

[0020] <Management device 10> FIG. 2 is a diagram illustrating an example of the configuration of the management device 10. As shown in FIG. Next, an example of the configuration of the management device 10 will be described with reference to FIGS.

[0021] The management device 10 includes a user information management unit 110, an environmental information management unit 130, a support information management unit 150, and a support information determination unit 170. Each of the user information management unit 110, the environmental information management unit 130, the support information management unit 150, and the support information determination unit 170 can be regarded as a subsystem of the information processing system 1.

[0022] The user information management unit 110 acquires and registers user information (user data), which is information relating to users, from the terminal 30 etc. The user information management unit 110 creates an account for each user based on the acquired user information.

[0023] The user information management unit 110 stores a registration information TB (table) 111, a compatibility TB 113, a team status TB 15, a relationship TB 117, a user stress level TB 119, a user physiological information TB 121, and a team stress level TB 123. Note that the registration information, compatibility level, team status, relationship, user physiological information, team stress level, etc. are examples of user data.

[0024] The environmental information management unit 130 acquires and registers environmental information, which is information about the environment in which the user is located, from the terminal 30 etc. The environmental information management unit 130 stores an environmental information TB131.

[0025] The support information management unit 150 acquires and registers support information, which is information relating to support for the user. The support information management unit 150 stores a self-factor support information TB 151 and an other-factor support information TB 153.

[0026] The support information determination unit 170 identifies a user who needs support based on each of the above TBs, determines support information for improving or maintaining the mental state of the identified user, and outputs the determined information to the terminal 30 or the like operated by the user.

[0027] Each of the above tables manages information input by each user via the terminal 30, etc., or information generated based on information acquired via each terminal 30, etc. Each table will be described below.

[0028] <Registration information TB111> FIG. 3(A) is a diagram showing an example of the registration information TB111. The registration information TB111 manages basic information about users registered by each user. In this example, the registration information managed for each user includes information about the user's name, affiliation, position, age, company history (work history), thinking ability, personality traits, resilience, and environmental tolerance. This registration information is stored in the registration information TB111 upon receiving instructions from the user via the terminal 30 or the like when starting to use the information processing system 1. The registration information is also updated every predetermined period (for example, every two months) by receiving instructions from the user via an input image displayed on the terminal 30 or the like.

[0029] Here, the position indicates the role or job in the company organization to which the user belongs. Here, users with lower positional titles are more likely to be stressed by the behavior of users with higher positional titles. Similarly, younger users are more likely to be stressed by the behavior of older users.

[0030] Company history indicates the number of years of service of the target user. Here, it is assumed that users with a long company history have a higher position and greater influence within the company than users with a short company history. Furthermore, users with a short company history are relatively more likely to be stressed by the behavior of users with a long company history.

[0031] The mental ability indicates the user's ability to think. In the illustrated example, mental ability is measured by conducting tests such as IQ (Intelligence Quotient), EQ (Emotional Intelligence Quotient), GMAT (Graduate Management Admission Test), SAT (Scholastic Aptitude Test), SPI (Synthetic Personality Inventory), and qualification tests in specific fields (e.g., the bar exam) on the terminal 30 or the like, and the test results (scores) are evaluated using a six-level numerical scale (1 to 6). Note that a higher numerical scale indicates a higher level of mental ability. Alternatively, a test may not be conducted on the terminal 30 or the like, and a score such as IQ may be received from the user and stored in the registration information TB111 as information indicating mental ability.

[0032] Personality traits indicate the user's way of looking at and feeling things. Personality traits are evaluated by tests such as the Big Five personality traits, MBTI (Myers-Briggs Type Indicator), career anchor, NEO-FFI, and NEO-PI-R, which are executed on the terminal 30 or the like. In the illustrated example, personality traits are evaluated using six numerical values ​​(1 to 6) for each of the items of agreeableness, neuroticism, openness, conscientiousness, and extroversion. Note that the higher the numerical value, the more the element of the target item is satisfied.

[0033] Resilience refers to a user's psychological resistance to changes in the external environment or stressful circumstances. Resilience is evaluated through tests performed on the terminal 30 or other devices. In the illustrated example, resilience is evaluated using a six-level scale (1 to 6) for each of the following categories: "Personal Core," "Flexible Thinking," "Adaptability," "Connections with Others," "Self-Control," and "Lifestyle." A higher value indicates a higher degree of fulfillment of the corresponding element. Here, "Personal Core" represents inner strength and the ability to calmly deal with difficult situations. "Flexible Thinking" represents the ability to recognize one's own thinking patterns and incorporate different opinions. "Adaptability" represents the ability to solve problems. "Connections with Others" represents the presence of people who are available to provide emotional support in times of need. "Self-Control" represents the ability to control one's emotions. "Lifestyle" represents the foundations of diet, exercise, sleep, trying new things, and regularly finding enjoyment.

[0034] Environmental tolerance indicates the user's physical tolerance to the physical environment, such as light, sound, and air pressure. In the illustrated example, environmental tolerance is evaluated based on photosensitivity, which is a low tolerance to light, phonosensitivity, which is a low tolerance to sound, and low-pressure discomfort, which is a low tolerance to changes in atmospheric pressure that can cause discomfort during low pressure. The environmental tolerance is stored in the registration information TB111 upon receiving an instruction from the user via the terminal 30 or the like.

[0035] <Compatibility TB113> FIG. 3B is a diagram showing an example of the compatibility TB113. The compatibility TB113 manages the compatibility between users who belong to the same department (Group A in the illustrated example). In this example, the compatibility is managed by categorizing the compatibility of user combinations into patterns based on the user's personality tendencies stored in the registration information TB111. To further explain, "Pattern A" indicates a combination that "seems to be compatible." Similarly, "Pattern B" indicates a combination that "seems to be conflict," "Pattern C" indicates a combination that "seems to be power harassment," and "Pattern D" indicates a combination that "seems to be able to maintain a reasonable distance." Additionally, "Pattern A" indicates a relatively good compatibility, "Pattern B" and "Pattern C" indicate a poor compatibility, and "Pattern D" indicates a moderate compatibility. This compatibility is stored in the compatibility TB113 based on the personality tendencies and hobbies stored in the registration information TB111 when the information processing system 1 is first used. The compatibility level may be determined by asking questions (surveys) to the user or other users and receiving responses, or by analyzing the content of conversations or communications between users. The compatibility level is updated in accordance with updates to the registration information TB111, which is performed every predetermined period (for example, every two months). For example, if many aspects of the user information, such as personality tendencies and hobbies, match, it may be determined that the compatibility is good, and pattern A may be selected.

[0036] <Team Status TB115> FIG. 4(A) is a diagram showing an example of the team status TB 115. The team status TB 115 manages the mental and physical states of each user who belongs to the same department (Group A in the illustrated example). In this example, information regarding psychological safety, power harassment level, sexual harassment level, lifestyle habits, and busyness is managed for each user. This team status is stored in the team status TB 115 upon receiving instructions from the user via the terminal 30 or the like when starting to use the information processing system 1. The team status is also updated every predetermined period (for example, every two weeks) by receiving instructions from the user via an input image displayed on the terminal 30 or the like. It is preferable that the team status is updated more frequently than the registered information. By updating the team status more frequently than the registered information, it is possible to grasp the team status in more detail.

[0037] Here, psychological safety refers to a psychological state in which a target user feels that they can freely express their opinions and take action in the group (team) to which they belong. In this example, psychological safety is evaluated using a six-level numerical scale (1 to 6). Note that a higher numerical scale indicates higher psychological safety. In the illustrated example, if psychological safety is low (e.g., 3 or less), information related to the user (causing user) who is causing the low psychological safety is received via terminal 30 or the like. Note that the causing user may be identified by asking the target user who the causing user is, or may be estimated based on other data such as the above-mentioned registration information or compatibility level. Here, psychological safety may be evaluated for each of multiple factors (evaluation items). For example, multiple evaluation items such as "In this team, I am not routinely punished even if I make a mistake," "In this team, members can bring up difficulties or challenges," "People in this team are not reluctant to accept that they are different from others," "I feel safe taking risks in this team," "I feel comfortable asking other members of this team for help," "No one in this team intentionally behaves in a way that undermines my efforts," and "When I work with other members of this team, my unique skills and abilities are highly valued and utilized," may be evaluated numerically (for example, on a 6-point scale, from 1 to 6).

[0038] The power harassment level indicates the degree to which power harassment (power harassment) is occurring in the target team. In this example, the power harassment level is evaluated using a six-level numerical scale (1 to 6). The higher the numerical scale, the higher the level of power harassment, i.e., the more frequently or severely the power harassment is occurring. In the illustrated example, if the power harassment level is high (e.g., 3 or higher), information related to the user causing the power harassment is received via the terminal 30 or the like. The user causing the power harassment may be identified by asking the target user questions, or may be estimated based on other data such as the above-mentioned registration information or compatibility level.

[0039] The sexual harassment level indicates the degree to which sexual harassment (sexual harassment) is occurring in the target team. In this example, the sexual harassment level is evaluated using a six-level numerical scale (1 to 6). The higher the numerical scale, the higher the level of sexual harassment, i.e., the more frequently sexual harassment occurs or the more severe the sexual harassment. In the illustrated example, if the level of sexual harassment is high (for example, the numerical scale is 3 or higher), information related to the user causing the sexual harassment is received via the terminal 30 or the like. The user causing the sexual harassment may be identified by asking the target user questions, or may be estimated based on other data such as the above-mentioned registration information or compatibility level.

[0040] Furthermore, the lifestyle habits indicate the degree of the lifestyle habits of the target user. These lifestyle habits are evaluated in the categories of exercise, sleep, and diet. Each category is evaluated using a six-level numerical value (1 to 6). The higher the numerical value for each category, the worse the lifestyle habits for that category, i.e., the greater the burden on the user's mind and body. The lifestyle habit information is identified by asking the target user questions, but it may also be obtained via a device worn by the target user (a wearable device, not shown). Here, by obtaining the lifestyle habit information of the target user, it is possible to detect a state in which the target user's mind and body are under strain, even if the target user himself or herself is not aware of it.

[0041] Furthermore, busyness indicates the degree of busyness of the target user. This busyness is evaluated using a six-level numerical value (1 to 6). The higher the busyness numerical value, the busier the user is, i.e., the more strain the user's mind and body are under. The information on busyness is determined by asking the target user questions, but it may also be obtained via the target user's schedule management software, etc. Here, by obtaining information on the target user's busyness, it is possible to detect a state in which the target user is under mental or physical strain, even if the target user himself or herself is not aware of it.

[0042] <Relationship TB117> FIG. 4B is a diagram illustrating an example of the relationship TB 117. The relationship TB 117 manages the friendship levels between users who belong to the same department (Group A in the illustrated example). In this example, the friendship levels with other users are managed as numerical values ​​for each user. More specifically, numerical values, with 100 being the perfect score, are received and managed by the terminal 30 or the like. For example, for user A, the friendship level with user B is 70, the friendship level with user C is 80, and the friendship level with user D is 40. Note that a higher score indicates a better friendship level. In addition, in the illustrated example, the relationship TB 117 calculates the average value of the friendship levels with other users as the trust level for the team and stores it for each user. In other words, a higher average friendship level indicates a higher trust level for the target user in the team. In addition, the relationship information is updated every predetermined period (e.g., every two weeks) in response to an instruction from the user via the terminal 30 or the like. It is preferable that the relationship information is updated more frequently than the registered information. By updating the relationship information more frequently than the registered information, it becomes possible to grasp the relationship in more detail. It is also possible that the relationship information is not limited to information that receives instructions from users via the terminal 30 or the like, but may be identified by analyzing the history of communication between users via the terminal 30 or the like.

[0043] <User stress level TB119> FIG. 5A is a diagram showing an example of the user stress level TB 119. The user stress level TB 119 manages the stress value of each user. The stress value of each user is calculated from the user's responses to questions about their mental state, such as a stress check performed on the terminal 30 or questions about their mood or mental health. In this example, the stress value is evaluated using a six-level numerical value (1 to 6) received by the terminal 30. Note that a higher numerical value indicates higher stress, i.e., the user is experiencing greater stress. The user stress level is obtained from the user via the terminal 30 at predetermined intervals (e.g., daily), and is stored along with the date and time of the acquisition. Increasing the frequency of acquisition (update frequency) of the user stress level enables a more detailed understanding of the user's psychological burden. In addition, in the illustrated example, when the user stress level TB 119 meets predetermined conditions, such as a high stress level (e.g., 5 or higher) or a sudden increase in stress level (e.g., an increase of 2 from the previous day), a display asking about the cause of stress (e.g., power harassment, low pressure, heartbreak, loss of a loved one) is displayed on the terminal 30, and the user stress level TB 119 stores the user's response to the question. Similarly, when the user's stress level meets predetermined conditions, such as a low stress level (e.g., 2 or lower) or a sudden decrease in stress level, the user is asked about the cause of the decrease in stress (e.g., watching a favorite movie or winning the lottery) and a response is obtained. Then, when the stress level suddenly increases, advice may be provided based on the response, such as taking action that caused the decrease in stress (e.g., "Let's go see a movie"). By storing the cause of stress in this way, more appropriate support information can be selected. Advice corresponding to the cause of stress may be provided. For example, if the cause is a broken heart, advice such as "Take some time off and focus on your work" may be provided. Note that the acquisition of stress values ​​is not limited to user responses. It may be obtained from physiological information of the user, or may be obtained from an electroencephalogram via a sensor (not shown) provided in the terminal 30 or the like.To further explain, the stress value is calculated from each user's answers (input information) to questions about their mental state, including, for example, stress checks, questions about mood, and questions about mental health. The input information may include, for example, information about diet, information about menstrual cycles, and the like. The stress value may also be calculated from the results of an analysis of user information (heart rate, blood pressure, brain waves, body temperature, breathing frequency, sleep time, lifestyle habits, level of worries, etc.) acquired by a sensor provided on the terminal 30 or the like, or from the results of an analysis of physical characteristic data, including facial expressions, acquired by image recognition. The stress value may also be calculated by integrating the results of an analysis of some or all of the input information and user information. That is, the stress value may be an index that at least partially indicates the user's mental state, an index that at least partially indicates the user's physical state, or an index that at least partially indicates the user's mental and physical states.

[0044] <User physiological information TB121> FIG. 5B is a diagram showing an example of the user physiological information TB121. The user physiological information TB121 manages the physiological state of each user. The user physiological information TB121 in the illustrated example is calculated and stored based on the analysis results of biometric information (body temperature, heart rate) acquired by a sensor (not shown) provided in the terminal 30 or the like, and the analysis results of a facial image of the user (body characteristic data) acquired by a camera. Furthermore, by receiving an instruction from the user via the terminal 30 or the like, the user physiological information TB121 stores information indicating the menstrual period in the menstrual cycle. Furthermore, the user physiological information is updated at predetermined intervals (e.g., daily) upon receiving an instruction from the user via the terminal 30 or the like. Increasing the frequency of updating the user physiological information enables more detailed understanding of the psychological burden on the user due to changes in physical condition. The physiological state may be calculated from each user's answers to questions regarding the physiological state. More specifically, the physiological state may be calculated based on the user's answers to questions such as, "What's your body temperature?" and "Are you in your menstrual cycle?"

[0045] <Team Stress Level TB123> FIG. 5(C) is a diagram showing an example of the team stress level TB123. The team stress level TB123 manages the stress levels of each department (team). The team stress level is, for example, the average stress level of users belonging to the same department (Group A in the illustrated example). The stress level of each user in the team stress level TB123 is obtained from the user stress level TB119. The team stress level TB123 is updated daily as the user stress level TB119 is updated, making it possible to grasp the psychological burden of the entire team in more detail. Here, by obtaining the team stress level separately from the user stress level, it is possible to grasp, for example, a situation in which the stress felt by each user is not high but the stress felt by the team as a whole is high, and notify support information to the user.

[0046] <Environmental information TB131> FIG. 5(D) is a diagram showing an example of the environmental information TB131. The environmental information TB131 manages information on the external environment of each department (team). In the illustrated example, the environmental information TB131 manages the outside temperature, atmospheric pressure, humidity, indoor temperature, etc. The environmental information may be received, for example, from the terminal 30 or from another device via the network 90. ​​The environmental information is acquired and updated via the terminal 30 at predetermined intervals (for example, every day). Here, the environmental information in the illustrated example includes not only the environmental information at that time, but also environmental information for the future (for example, six hours from now). By including future environmental information, or in other words, predicted values ​​of the environmental information, as the environmental information, it is possible to predict the mental and physical burden on the user due to changes in the environment and notify the user of support information.

[0047] <Self-Factor Support Information TB151> FIG. 6-1(A) is a diagram showing an example of the self-cause support information TB151. Next, the self-caused support information TB151 will be described with reference to FIG. 6-1(A).

[0048] As shown in Figure 6-1(A), the self-factor support information TB151 manages self-factor support information (details will be described later) for each user. The self-factor support information TB151 shown in the figure is for user A as the target user. In the example shown, the self-factor support information TB151 manages the support content, advice recipient, required time, priority, conditions (condition 1, condition 2), and whether or not selection is possible. In addition, the self-factor support information is updated as the above tables are updated. By increasing the frequency of updates to the self-factor support information, it is possible to more effectively reduce the psychological burden on users who are experiencing poor health.

[0049] Here, the support content indicates the specific content of the support. In the illustrated example, "anger management advice" is advice (support information) such as "controlling anger is very important as a business person" that is output to the terminal 30 or the like for the target user (user A). The terminal 30 or the like that receives this support information notifies the user of the support information. Here, the manner in which the support information is notified is not particularly limited as long as the user can recognize the content of the support information, and may be a manner in which an image including text is displayed or a manner in which sound including music is output.

[0050] Similarly, "Mindfulness Advice" outputs advice on practicing mindfulness, a technique for adjusting the target user's psychological state by focusing on the target user's current state. "Lifestyle Advice" outputs advice to encourage the target user to improve their lifestyle habits (see Figure 4(A)). "Stretching Advice" outputs advice to the target user on performing stretching exercises. "Work Advice" outputs advice to the target user on performing tasks such as keeping a gratitude diary.

[0051] Furthermore, "Mindset switching advice" outputs advice to switch (change) the target user's way of thinking, psychological state, etc., including cognitive behavioral therapy (CBT). "Advice to use public health nurse counseling," "Advice to use industrial physician counseling," "Advice to use mental counseling," and "Advice to use career counseling" each output advice encouraging the target user to consult with a public health nurse, industrial physician, mental counselor, or career counselor.

[0052] Furthermore, "Environmental Advice" notifies the target user that their physical and mental condition is expected to worsen in the future (for example, six hours) due to changes in the environment, and advises them to make preparations in advance. "Create an Opportunity for Dialogue" outputs advice to create an opportunity for users to talk with each other, such as between the target user and their superior. "Step-by-Step Response Advice" outputs advice to the target user's superior to change their mindset, and then outputs advice to the target user's subordinate to change their mindset (details will be provided later).

[0053] The advice recipient in the self-factor support information TB151 indicates a user who is the target to whom support content is to be notified. The required time is a numerical value indicating the time (minutes) required for the user to perform the support information. In the illustrated example, it is set in advance for each support information item between 0.5 and 3 minutes. For example, if the required time for mindfulness, which is one of the support information items, is set to 1 minute, images and audio for performing mindfulness are output on the terminal 30 or the like for 1 minute. The user can perform mindfulness for 1 minute according to these images and audio. The priority indicates the order of priority selected when selecting support information. In the illustrated example, the smaller the priority number of support information, the higher the priority of the support information to be selected.

[0054] The condition indicates the condition for selecting the target support information. Note that if multiple conditions are set, i.e., if condition 1 and condition 2 are set, the target support information can be selected when all of the conditions are met. The selectability indicates whether the target support information is selectable by the target user. In the illustrated example, "OK" indicates that the support information is selectable, that is, all the conditions of the target support information are met and the target support information is selectable. In the illustrated example, "NG" indicates that the support information is not selectable, that is, all the conditions of the target support information are not met and the target support information is not selectable. In addition, if any of the support information in the self-factor support information TB151 is selectable ("OK" in the figure), it indicates that the target user is a user who should be supported, that is, a user in poor health.

[0055] Here, a specific example of support information in the self-factor support information TB151 in FIG. 6-1(A) will be described. In the figure, the "advice recipient" to whom support information for "anger management advice" with "No." "1" is notified is "User A," the required time is "3 minutes," and the priority is "1." Furthermore, the "condition" for outputting (presenting) support information is that the "stress value" of the target user (User A) is "6" (see "Condition 1"). If this condition is met, it is determined that the support information for "No. 1" can be output. Note that in the example shown, the condition is not met, and "selectability" is "NG." Furthermore, the "advice recipient" to whom support information for "environmental advice" with "No." "16" is notified is "User A," the required time is "0.5 minutes," and the priority is "8." Furthermore, the "conditions" for outputting (presenting) support information are that there will be a low pressure in the future (for example, 6 hours later) (see "Condition 1"), and that the target user (User A) has an environmental tolerance of "not feeling well in low pressure" (see "Condition 2"). If this condition is met, it is determined that support information "No. 16" can be output. In the illustrated example, the condition is not met, and "Selectability" is "NG."

[0056] As will be described in detail later, the conditions for the self-factor support information can be set not only based on the user information of the target user, but also on information of users other than the target user. For example, in "No. 3," the conditions are the "stress value" of the target user and the "compatibility" between the target user and other users. To explain further, "Condition 2" in the illustrated example indicates that the condition is that there is a member with a compatibility level of "Pattern B" on the same team as the target user (User A). In this way, by setting the self-factor support information based on information of users other than the target user as a condition, support for the target user can be more reliably provided.

[0057] <Other Factors Support Information TB153> FIG. 6B is a diagram showing an example of the other person's factor support information TB153. Next, the other-factor support information TB153 will be described with reference to FIG. 6-2(B). In the illustrated other-factor support information TB153, the target user is user A. The unwell user is user D. The other-factor support information TB153 specifies what support information is to be notified to the target user (user A) as support information for supporting the unwell user (user D). In other words, the other-factor support information TB153 specifies the support information to be notified to the target user (user A) in order to indirectly support the unwell user (user D).

[0058] As shown in Figure 6-2(B), the other-factor support information TB153 manages other-factor support (described in detail later) for each user. In the illustrated example, the other-factor support information TB153 manages the support content, the person to whom the support is offered (the person to whom advice is offered), the required time, the priority, and the conditions (condition 1, condition 2). In addition, the other-factor support information is updated as the user stress level TB119 is updated. By updating the other-factor support information more frequently, it is possible to more effectively alleviate the psychological burden on users who are feeling unwell.

[0059] In the illustrated example, the "support advice" outputs advice to the target user (user A) encouraging support, such as by talking to a user who is not feeling well (e.g., user D). In other words, the "support advice" outputs advice to the target user (user A) to indirectly support the user who is not feeling well (user D). The "advice to improve communication skills" outputs advice to the target user to change the target user's behavior, such as "Speak with respect for others" or "Make statements using "I" as the subject (i-messages) that express how you would like things to be done." To explain further, the "advice to improve communication skills" outputs advice for team building. Here, the "advice to improve communication skills" encourages the target user to change their behavior and changes the environment in which the user who is not feeling well finds themselves. This indirectly supports the user who is not feeling well.

[0060] "General ill-health information presentation" presents information that some people (or their family members) may become ill due to certain factors, such as changes in atmospheric pressure, and provides the target user with advice to improve their human science literacy. "Individual ill-health information presentation" notifies the target user that a specific user (e.g., User D) may become ill due to certain factors, such as changes in atmospheric pressure. "Dialogue opportunity setting advice" notifies the target user of advice encouraging the ill user (e.g., User D) to have an opportunity to talk about their health with the target user. During this dialogue, the target user and the ill user discuss when they feel unwell. Through this dialogue, the target user can recognize factors that cause ill-health, and more reliably provide support to the ill user. For example, advice in "general ill-health information presentation" may include, "If a member is feeling unwell today, their performance or communication skills will decline, so try to tolerate this as much as possible."

[0061] The "presentation of general ill health information," "presentation of individual ill health information," and "advice to set up a dialogue opportunity" are notified to the target user, thereby indirectly supporting the unwell user. The "presentation of general ill health information," "presentation of individual ill health information," and "advice to set up a dialogue opportunity" have in common that the advice is notified to the target user on the condition that there is a user (unwell user) who is unwell due to a specific factor (illness factor), such as a change in atmospheric pressure. On the other hand, the "presentation of general ill health information," "presentation of individual ill health information," and "advice to set up a dialogue opportunity" differ in whether the cause of the illness and the unwell user are identified in the advice. Specifically, the "presentation of general ill health information" identifies the cause of the illness but does not identify the unwell user. This makes it possible to educate other users about the cause of the illness without disclosing the unwell user. The "presentation of individual ill health information" identifies the cause of the illness and identifies the unwell user. This makes it possible for other users to more reliably support the unwell user. The "advice to set up a dialogue opportunity" does not identify the cause of the illness or the unwell user. The "dialogue opportunity setting advice" encourages dialogue between the unwell user and the target user by outputting an image or sound such as "Let's talk about your health." This allows the unwell user and the target user to share the experience of mutual understanding when the cause of the illness is identified through dialogue between them, which can improve the relationship between the unwell user and the target user. The individual presentation setting process, which sets whether or not individual presentation of individual illness information is to be presented, will be described later.

[0062] "Vacation instruction advice" notifies the target user (user A) of advice encouraging them to instruct an unwell user (e.g., user D) to take vacation. "Workation instruction advice" notifies the target user of advice encouraging them to instruct an unwell user (e.g., user D) to use the workation system, which allows them to work while on vacation. "Curtain opening / closing advice" notifies the target user of advice encouraging them to open and close the curtains to adjust the brightness in their room. "Lighting adjustment advice" notifies the target user of advice encouraging them to change the lighting settings to adjust the brightness in their room. "Air conditioner adjustment advice" notifies the target user of advice encouraging them to change the air conditioner setting to adjust the temperature in their room.

[0063] The "vacation instruction advice," "workation instruction advice," "curtain opening / closing advice," "lighting adjustment advice," and "air conditioner adjustment advice" can be considered as advice encouraging the target user to change the environment of the unwell user. The "vacation instruction advice" and "workation instruction advice" may be sent to a user who supervises the team, rather than to the team leader (one of the team members), such as an executive or the unwell user's boss's boss. This may more reliably result in vacation or workation being taken. Here, the instruction to take vacation may be sent based on the subordinate user's current mental state, such as their personality traits. Furthermore, the instruction to take vacation may be sent if the subordinate user has personality traits that are high in neuroticism and low in stress tolerance, resulting in a high stress value. Furthermore, when the average stress value (see FIG. 5(A)) of each user in a team (an example of a user group) to which multiple users belong is equal to or greater than a predetermined value (e.g., 5 or greater) and the team's busyness level is equal to or less than a predetermined value (e.g., 3 or less), an instruction to take a vacation or to use workcation may be issued to one of the team members, i.e., the team leader (a superior, an example of a specific user). The average busyness level of each user constituting the team is an example of user data of the user group. Here, the average stress value of each user is an example of user data of the user group, and other numerical values, such as the maximum or minimum busyness level of each user, may also be used. Furthermore, the user data of the user group may be information indicating not only stress values ​​but also busyness, resilience, etc. Furthermore, the first user information, which is user information of a first user, and the second user information, which is user information of a second user, are not limited to specific, single pieces of user information. For example, multiple pieces of user information may be referred to as the first user information and the second user information. In this case, the values ​​of the multiple pieces of user information may be averaged to obtain the user information. Furthermore, the maximum or minimum value of a plurality of pieces of user information (for example, stress value, busyness, etc.) may be used as the user information. Furthermore, a plurality of pieces of user information may be combined to be used as the user information.

[0064] <Information on self-factor support and information on other-factor support> 7(A) to 7(D) are diagrams for explaining self-factor support information and other-factor support information. Note that user A in FIG. 7(C) is the boss of user D. User A in FIG. 7(D) has a close relationship with user C. Next, the self-factor support information and the other-factor support information will be described with reference to FIGS. 6-1(A), 6-2(B), and 7(A) to 7(D).

[0065] First, self-factor support information and other-factor support information have in common the fact that they are both information for supporting a user who is in poor health. On the other hand, self-factor support information and other-factor support information differ in whether the recipient of the support information is the user who is in poor health themselves. Specifically, self-factor support information is support information that is notified to the user who is in poor health themselves. In other words, self-factor support information is information that allows a user to support themselves. On the other hand, other-factor support information is support information that is notified to users other than the user who is in poor health. In other words, other-factor support information is information that allows a user to support other users.

[0066] Hereinafter, the self-factor support information and the other-factor support information will be specifically described with reference to FIG. 6-1(A), FIG. 6-2(B) and FIG. 7(A) to 7(D). First, referring to Figures 6-1(A) and 7(A), a case will be described in which "Anger Management Advice" of "No. 1" in the self-factor support information TB151 is selected. In this example, "User A" is a user in a bad mood, and advice is notified to "User A."

[0067] To explain further, if the "condition" of "No. 1" in the self-factor support information TB151 in Figure 6-1(A) is met, that is, if the "stress value" of "user A" is "6," then "Amber Management Advice" of "No. 1" can be selected. In this case, as shown in Figure 6-1(A), the "advice recipient" is the "target user," that is, "user A." From the above, as shown in Figure 7(A), "advice for user A," who is an "unwell user," is notified.

[0068] Next, referring to Figures 6-1(A) and 7(B), a case where "No. 4" "Anger Management Advice" is selected in the self-factor support information TB151 will be described. In this example, "User A" is a user in poor health, and advice is notified to "User A."

[0069] To explain further, if the "condition" of "No. 4" in the self-factor support information TB151 in Figure 6-1(A) is met, that is, if User A's "stress value" is "3" and "subordinate's neuroticism" is "high," then "No. 4" "Amber Management Advice" can be selected. In this case, as shown in Figure 6-1(A), the "advice recipient" is the "target user," that is, "User A." From the above, as shown in Figure 6(B), when "User A" is a "disorderly user" and "User D" has a "high" "neuroticism," "advice to User A" is notified.

[0070] Next, with reference to Figures 6-2(B) and 7(C), a case will be described in which "Support Advice" of "No. 1" in the other-factor support information TB 153 is selected. In this example, "User D" is the user in poor health, and advice is notified to "User A," a user different from the user in poor health.

[0071] To explain further, when the "conditions" in the other-factor support information TB153 in FIG. 6-2(B) are met, that is, when "User D," who is a "sick user," is a subordinate of "User A" and "User A"'s own "stress value" is "5 or less," "Support Advice No. 1" can be selected. In this case, as shown in FIG. 6-2(B), the "advice recipient" is the "sick user's boss," that is, "User A." From the above, as shown in FIG. 7(C), when "User A"'s "stress value" is "5 or less" and "User D" is a "sick user," "Advice to User A" is output.

[0072] Next, with reference to Figures 6-2(B) and 7(D), a case where "Support Advice" of "No. 2" in the other-factor support information TB153 is selected will be described. In this example, "User C" is the user in poor health, and advice is output to "User A," a user different from the user in poor health.

[0073] To explain further, if the "conditions" in the other-factor support information TB153 in Figure 6-2(B) are met, that is, if "User C," who is an "unwell user," is a "highly friendly" member of "User A," and "User A"'s own "stress value" is "3 or less," then "Support Advice No. 2" can be selected. In this case, as shown in Figure 6-2(B), the "advice recipient" is the "highly friendly member of the unwell user," that is, "User A." From the above, as shown in Figure 7(D), if "User A" is a "highly friendly" member and has a "stress value" of "3 or less," and "User C" is an "unwell user," then "Advice to User A" is output.

[0074] In this embodiment, support information is not only output based on the user information of the unwell user (see FIG. 7(A)), but may also be selected and output based on the user information of the unwell user and users other than the unwell user (see FIGS. 7(B) to 7(D)). In this way, by selecting support information based on the user information of the unwell user as well as users other than the unwell user, support information can be output to users who are more suitable to support the unwell user. Here, users who are suitable to provide support include, for example, users who have the psychological leeway to support the unwell user (e.g., low stress levels), and users with whom the unwell user has a relationship that makes them psychologically more receptive to support (e.g., high level of friendship).

[0075] To explain further, as shown in FIG. 7(B), support information is output to the target user (user A) based on the user information (stress value) of the target user (user A in the example of FIG. 7(B)) and the user information (neuroticism) of another user (user D). In this example, user A's stress value is high. Therefore, it is assumed that user A will make a statement that lacks consideration for others, for example, due to a trivial incident. User D, who has a high neuroticism, may feel uncomfortable or stressed by user A's inconsiderate statement. Therefore, by providing user A with anger management advice or advice to help user A find enjoyment (for example, taking a vacation and traveling, going to a concert, watching a favorite movie, enjoying a favorite sport, etc.) or to reduce stress by practicing mindfulness, it is possible to prevent problems such as power harassment between user A and user D. In other words, information to support user D is notified to user A. Furthermore, for example, if user A has low self-control or a low EQ, situations such as the above-mentioned where trivial matters trigger comments that lack consideration for others may easily occur, and therefore advice encouraging these measures may be output more frequently. In this example, by presenting anger management advice to user A, user D may be prevented from feeling stressed. In other words, presenting advice to user A leads to maintaining or improving user D's physical and mental state, thereby indirectly supporting user D. Therefore, this example can also be regarded as a mode of notifying user A of information that supports user D.

[0076] As shown in FIG. 7C, support information is output to a target user (user A) based on the user information (stress value) of the unwell user (user D) and the relationship (user D's boss) with the unwell user (user D). In this example, user D's stress value is high. User A is user D's boss, so he is in a position where he can easily provide support to user D. User A also has a low stress value and is psychologically comfortable enough to support user D. Therefore, by presenting support information (support advice) to user A to support user D, user D's stress can be reduced. In other words, when user A takes action after receiving the advice, this leads to maintaining or improving user D's physical and mental condition, thereby indirectly supporting user D. In the illustrated example, the stress value of the target user (user A) must be equal to or less than a predetermined value, but this need not be a requirement. In this case, support information is selected without considering the stress value of the target user (user A), making it easier to provide support to user D.

[0077] In the example shown in FIG. 7(D), support information is output to the target user (user A) based on the user information (stress value) of the unwell user (user C) and the relationship between the unwell user (user C) and the target user (user A) (user C's high level of friendship). In this example, user C's stress value is high. Furthermore, since user A has a high level of friendship with user C, user C is a user from whom user C is likely to receive psychological support. Furthermore, user A has a low stress value and is psychologically comfortable enough to support user C. Therefore, by presenting user A with advice (support advice) to support user C, the stress of user C can be reduced. In the example shown in the figure, the target user's (user A's) stress value must be equal to or less than a predetermined value, but this need not be a requirement. In this case, support information is selected without considering the target user's (user A's) stress value as a requirement, making it easier to provide support to user C.

[0078] 7(C), support information is output to user A, the target user, according to other-factor support information TB153, as described above, and self-support information is output to user D, the unwell user, according to self-factor support information TB151. This allows support for user D, the unwell user, and support from user A, the other user, to be provided. Although details are omitted, in the example shown in FIG. 7(D) as well, other-factor support information is output to user A, and self-support information is output to user C, the unwell user, so that support for user C is more reliable.

[0079] 7(B) and 7(C) may also be applicable. That is, there is a case where user A himself is a user in poor health and user A is a user who supports another person (user D). In this case, self-support information is output to user A, who is a target user, according to self-factor support information TB151, and support information is output to user A, who is a target user, according to other-factor support information TB153, as described above. In this way, support for user A himself, who is a user in poor health, and support for another person (user D) can be implemented.

[0080] When a user in a bad mood receives support from other users in the same group, the user's trust in the group may increase. In other words, when a user in a bad mood receives support from other users in the same group, the user's sense of belonging to the group may increase.

[0081] <Outline of operation of information processing system 1> FIG. 8 is a flowchart showing an outline of the operation of the information processing system 1. Next, the general operation of the information processing system 1 will be described with reference to Fig. 8. In the following description, it is assumed that the management device 10 has already completed user registration of user A when user A starts using the service, as user A operates the terminal 30.

[0082] First, the user information management unit 110 of the management device 10 outputs an instruction to the terminal 30 to display an input image for inputting user information (S801). Then, the terminal 30 displays the input image (S802). The terminal 30 accepts user information from user A via the input image and outputs it to the management device 10 (S803).

[0083] Next, the user information management unit 110 of the management device 10 accepts and stores the user information (S804). Specifically, the user information management unit 110 updates the registration information TB111, compatibility TB113, team status TB115, relationship TB117, user stress level TB119, user physiological information TB121, and team stress level TB123. Then, the environmental information management unit 130 of the management device 10 accepts and stores the environmental information (S805). Specifically, the environmental information management unit 130 updates the environmental information TB131 based on the acquired environmental information. Then, the support information management unit 150 updates the self-factor support information TB151 and the other-factor support information TB153 (S806).

[0084] Next, the support information determination unit 170 of the management device 10 selects support information based on the updated self-factor support information TB151 and other-factor support information TB153 (S807). Then, the support information determination unit 170 of the management device 10 outputs the selected support information to the terminal 30 (S808). Then, the terminal 30 displays an image showing the received support information (S809). According to the support information displayed on the terminal 30, user A can provide support to himself or other users.

[0085] In this embodiment, a stress check is performed on the user daily to obtain a stress value. Advice is then presented according to changes in this stress value. Furthermore, advice is presented according to, for example, the personality tendencies of a superior and a subordinate, such as whether they are compatible (for example, whether the superior or other members of the same team have a personality tendency to get angry easily or to easily commit power harassment). In other words, if a specific user is prone to power harassment, advice to curb the power harassment is output. Furthermore, if it is predicted that the personality tendencies of subordinates or colleagues will not tolerate power harassment, advice to curb the power harassment is output.

[0086] <Support information selection process> FIG. 9 is a flowchart showing the support information selection process executed by the support information determination unit 170. Next, the support information selection process executed by the support information determination unit 170 will be described with reference to FIG.

[0087] First, the support information determination unit 170 selects support information that can be output from the self-factor support information TB151 and the other-factor support information TB153. The selected support information is output to the terminal 30 or the like (see S808 in FIG. 8 above). The support information is selected by the support information determination unit 170 based on the self-factor support information TB151 and the other-factor support information TB153. If multiple pieces of support information are selectable in the self-factor support information TB151, the support information determination unit 170 selects the support information according to a predetermined priority order. Similarly, if multiple pieces of support information are selectable in the other-factor support information TB153, the support information determination unit 170 selects the support information according to a predetermined priority order. Furthermore, multiple pieces of support information may be selected. For example, both self-factor support information and other-factor support information may be selected as support information to be notified to the same user.

[0088] In the illustrated example, multiple pieces of support information are selected when a predetermined condition is met. Specifically, multiple pieces of support information can be selected when the total time required for the target user to execute the support information is within a predetermined time (3 minutes or less). Setting the required time within the predetermined time prevents the user from being tied up for a long time, improving convenience for the user to whom the support information is notified. Note that although the time required to execute the support information has been described here as an example of a predetermined condition, the present invention is not limited to this. For example, support information may be selected based on other conditions, such as the number of pieces of support information to be output at one time or the attributes of the support content.

[0089] Furthermore, in the illustrated example, when support information is selected from the self-factor support information TB151 and the other-factor support information TB153, the self-factor support information is selected with priority over the other-factor support information. This outputs information encouraging support from others to a user who is unwell, thereby preventing further psychological stress on the unwell user who is psychologically exhausted. In the illustrated example, after the self-factor support information is selected, the other-factor support information is selected within the required time limit. Here, the manner in which the self-factor support information is prioritized over the other-factor support information is not limited to the order of selection. For example, the self-factor support information may be selected more frequently than the other-factor support information, or the self-factor support information may be notified in a longer time (e.g., display time) than the other-factor support information, or the self-factor support information may be output in a manner that is more easily recognized by the user than the other-factor support information (e.g., by using louder characters or a louder volume).

[0090] Hereinafter, the support information selection process executed by the support information determination unit 170 of the management device 10 will be specifically described with reference to FIG. First, the support information determination unit 170 determines whether or not there are selectable self-factor support candidates in the self-factor support information TB 151 (S901). If there are self-factor support candidates (YES in S901), the support information determination unit 170 selects one self-factor support candidate (S902). At this time, the support information determination unit 170 selects one of the self-factor support candidates with the highest priority (smallest numerical value). Then, the support information determination unit 170 determines whether or not the total required time of the selected self-factor support candidates is 3 minutes or less (S903).

[0091] If the required time of the selected self-factor support candidate is 3 minutes or less (YES in S903), the support information determination unit 170 determines whether or not there are other selectable self-factor support candidates (S904). If there are no other self-factor support candidates (NO in S904), the support information determination unit 170 determines whether or not there are other-factor support candidates selectable in the other-factor support information TB 153 (S905). If there are other-factor support candidates (YES in S905), the support information determination unit 170 selects the other-factor support candidate (S906). At this time, the support information determination unit 170 selects the other-factor support candidate with the highest priority among the other-factor support candidates.

[0092] Next, the support information determination unit 170 determines whether the total required time of the selected support candidates is three minutes or less (S907). If the total required time of the selected support candidates is three minutes or less (YES in S907), the support information determination unit 170 determines whether there are other other-factor support candidates that can be selected (S908). If there are no other other-factor support candidates (NO in S908), the support information determination unit 170 sets the selected support candidate as output support information (S909).

[0093] Here, if there are other self-factor support candidates that can be selected (YES in S904), the support information determination unit 170 selects (adds) the other self-factor support candidates (S910). At this time, the support information determination unit 170 selects the self-factor support candidate with the highest priority among the other self-factor support candidates. Then, the support information determination unit 170 determines whether the total required time of the selected support candidates is 3 minutes or less (S903).

[0094] If there are other selectable other-factor support candidates (YES in S908), the support information determination unit 170 selects (adds) the other other-factor support candidates (S911). At this time, the support information determination unit 170 selects the other other-factor support candidate with the highest priority. Then, the support information determination unit 170 determines whether the total required time of the selected support candidates is 3 minutes or less (S907).

[0095] By setting the output support information as described above, it is possible to prioritize self-factor support candidates over other-factor support candidates while reducing the time the user is confined.

[0096] <Individual presentation setting process> FIG. 10 is a flowchart showing the individual presentation setting process executed by the support information determination unit 170. Next, the individual presentation setting process executed by the support information determination unit 170 will be described with reference to FIG.

[0097] As described above, the support information determination unit 170 executes an individual presentation setting process for identifying an unwell user and determining whether to present individual ill-health information that indicates that the user's physical condition is deteriorating due to an ill-health factor. In this individual presentation setting process, it is determined whether to present individual ill-health information based on the user information of the unwell user. In the illustrated example, it is determined whether to present individual ill-health information based on the user information, which includes the intention (agreement) of the target user (unwell user) and the reliability of the target user's team.

[0098] 10, the support information determination unit 170 first determines whether the target user (unwell user) agrees to individual presentation (S1001). If the target user agrees to individual presentation (YES in S1001), the support information determination unit 170 determines whether the reliability of the target user (unwell user) in relation to the team to which the target user belongs is equal to or greater than a threshold (S1002). If the reliability of the target user in relation to the team to which the target user belongs is equal to or greater than a threshold (YES in S1002), the support information determination unit 170 executes individual presentation permission setting to permit individual presentation (S1003).

[0099] On the other hand, if the target user does not agree to individual presentation (NO in S1001), or if the trust level of the target user in the team to which the target user belongs is less than the threshold (NO in S1002), the support information determination unit 170 executes an individual presentation disabling setting that disables individual presentation (S1004).

[0100] In this way, by setting the individual presentation setting on the condition that the target user agrees to individual presentation, notification of the target user's information to other users against the target user's will is prevented. Furthermore, by setting the individual presentation setting on the condition that the target user's trust in the team to which the target user belongs is made, notification of the target user's information to other users when the target user's trust in the team to which the target user belongs is made is prevented. Consent to individual presentation may be obtained from each user, for example, when registering with the system, or consent may be obtained from the target user immediately before individual poor performance information presentation is performed. While the example described here is based on the trust in the team, the appropriateness of individual presentation may also be determined based on other data, such as psychological safety. Furthermore, while the individual presentation setting is set on the condition that the target user agrees to individual presentation and the trust in the team to which the target user belongs is made, the appropriateness of individual presentation may also be determined based on only one of these conditions.

[0101] <Step-by-step output processing> First, if a predetermined condition is satisfied, the support information determination unit 170 may set multiple users to receive support information. Specifically, if the target user's psychological safety score (see FIG. 4A) is low, the support information may be notified to the target user as well as other users who belong to the same team as the target user. To further explain, the support information may be notified to users who are responsible for the target user's low psychological safety (see FIG. 4A), the target user's superior, or users whose compatibility with the target user is in a specific pattern (see FIG. 4B). For example, the support information notified to the target user may be, "When the boss's boss is present, if the boss's statement is rationally incorrect, the subordinate may point out that the boss's statement is incorrect." In this case, if the target user's superior (a user with strong authority) cannot tolerate the subordinate's statement, outputting the support information may cause discord between the target user and the superior. Therefore, the support information determination unit 170 first notifies the superior of the support information, and after the superior's consciousness change is complete, executes a process to change the consciousness of the subordinate target user. This gradual process is an example of a gradual response output process. The gradual response output process notifies support information to another user (e.g., the superior of the unwell user) other than the target user, and notifies the target user of the support information only after the other user's change. In this way, the change of the other user changes the environment in which the target user is placed. In other words, the change of the other user leads to maintaining or improving the target user's mental and physical condition, thereby indirectly supporting the target user. Here, the relationship between the unwell user and the user who is the superior of the unwell user is described, but the relationship between users is not limited to this. The relationship between users may be based on differences in power within a group (e.g., hierarchical positions, senior-junior relationships in terms of company history, possession of specific decision-making authority, etc.) or differences in influence within a group (e.g., a relationship of greater or lesser influence). For example, support information may be output to senior users first based on the users' company history (senior-junior relationships), and then support information may be output to junior users based on the senior user's transformation.In this embodiment, since the transformation of the senior user has already been completed, the support of the junior user can be more effectively carried out.

[0102] FIG. 11 is a flowchart showing the level-based output process executed by the support information determination unit 170. Next, the level-based output process executed by the support information determination unit 170 will be described with reference to FIG.

[0103] 11, the support information determination unit 170 first outputs support information to the terminal 30 or the like operated by the boss of the target user (unwell user) (S1101). Then, the support information determination unit 170 determines whether it is the time to check the change in the boss (for example, one week after the previous output of support information) (S1102).

[0104] If it is time to check the change (YES in S1102), the support information determination unit 170 checks the change on the terminal 30 or the like operated by the superior (S1103). Specifically, for example, the superior is asked whether the support information previously output has changed the superior's own behavior or way of thinking, and the answer to the question is received via the terminal 30 or the like.

[0105] Then, the support information determination unit 170 determines whether or not a change in the superior has been confirmed (S1104). If a change in the superior has been confirmed (YES in S1104), support information is output to the terminal 30 or the like operated by the target user (unwell user) (S1105). On the other hand, if a change in the superior has not been confirmed (NO in S1104), the support information determination unit 170 outputs support information to the terminal 30 or the like operated by the superior (S1101). Note that by performing the step-by-step response output process as described above, support for unwell users can be provided more efficiently.

[0106] <Hardware Configuration of Management Device 10> FIG. 12 is a diagram showing an example of the hardware configuration of the management device 10. As shown in FIG. As shown in FIG. 12, the management device 10 includes a CPU 101, a random access memory (RAM) 102, a read only memory (ROM) 103, a hard disk drive (HDD) 104, and a communication I / F 105.

[0107] The CPU 101 loads various programs stored in the ROM 103 or the like into the RAM 102 and executes them to realize the above-mentioned functions of the management device 10. The RAM 102 is a memory used as a working memory for the CPU 101, etc. The ROM 103 is a memory that stores various programs executed by the CPU 101. The HDD 104 is, for example, a magnetic disk device that stores user information and the like. The communication I / F 105 transmits and receives various types of information to and from other devices via a network 90 (see FIG. 1).

[0108] Here, the program executed by CPU 101 may be provided to management device 10 in a state where it is stored in a computer-readable recording medium such as a semiconductor memory. Alternatively, the program executed by CPU 101 may be downloaded to terminal 30 or the like via management device 10. For example, a program that realizes each of the above functions of management device 10 may be downloaded to terminal 30 or the like as application software. Then, the user installs the downloaded application software on terminal 30 or the like to start using the above service.

[0109] <Modification> In the above explanation, it has been described that the support information management unit 150 selects and outputs support information according to the conditions defined in the self-factor support information TB151 and the other-factor support information TB153. Here, instead of or in addition to selectively outputting the support information selected according to the conditions, the frequency at which the selected support information is output may be changed (increased). More specifically, unlike the above embodiment, a cycle for outputting the target support information may be set for each piece of support information stored in the self-factor support information TB151 and the other-factor support information TB153, and the support information may be repeatedly output according to the set cycle. Then, the support information management unit 150 may shorten the cycle for the selected support information, thereby increasing the frequency at which that support information is output.

[0110] Here, in a configuration in which a period is set for the self-factor support information TB151 and the other-factor support information TB153, the period may be changed according to user information, such as thinking ability and personality tendencies, stored in the registration information TB111. Specifically, the period in which the support information is output may be changed using a graph, such as a so-called forgetting curve, which shows how memorized information is forgotten over time. For example, a longer period may be set for a user with high thinking ability and an aptitude for remembering things, and a shorter period may be set for a user with low thinking ability and an aptitude for remembering things. More specifically, for a user with an IQ score higher than a threshold (e.g., 100 or higher), a specific period (e.g., 10 days) may be set as the period. For a user with an IQ score lower than a threshold (e.g., less than 100), the user may be determined to be more likely to forget things and have a short forgetting period, which indicates the time it takes to forget memorized knowledge, and a period shorter than the specific period (e.g., 8 days) may be set as the period. This makes it easy for the user to remember the assistance information while efficiently preventing the user from forgetting the assistance information.

[0111] As another example different from the above embodiment, a probability of outputting each piece of support information may be set in the self-factor support information TB151 and the other-factor support information TB153. The frequency with which the support information is output may be increased by increasing the probability that the support information is selected among the support information selected by the support information management unit 150. For example, mindfulness advice and work advice (gratitude diary) may be output more frequently to a user with a high neurotic tendency. Furthermore, advice to enhance connections with others, such as advice encouraging interaction with others and advice to remind the user of things to be grateful for, may be output more frequently to a user with a low level of resilience and connection with others. Support information to improve items with low scores among the six items of resilience of each user may be output to improve the user's shortcomings (weaknesses), or support information to further improve items with high scores may be output to enhance the user's strengths (strengths). To further explain, for example, for a user with a low score on the "Personal Axis" item among the six resilience items, advice may be output to encourage the user to review their own values ​​and consider whether their recent behavior and environment are in line with those values, or the frequency with which this advice is output may be increased. For example, for a user with a low score on the "Self-Control" item, advice on anger management and emotion management may be output, or the frequency with which this advice is output may be increased. For example, for a user with a low score on the "Responsiveness" item, advice on how to efficiently prioritize work may be output, or the frequency with which this advice is output may be increased. For example, for a user with a low score on the "Interpersonal Connections" item, advice to encourage interaction with others or advice to remind others of things to be grateful for may be output, or the frequency with which this advice is output may be increased, in order to enhance interpersonal connections. For example, for a user with a low score on the "Resilient Thinking" item, advice to encourage acceptance of other people's opinions may be output, or the frequency with which this advice is output may be increased.In addition, for example, for users who have a low score in the "Lifestyle" category or whose lifestyle habits include poor quality or quantity of sleep, poor quality or quantity of food, or poor quality or quantity of exercise, advice on improving sleep, diet, or exercise may be output, or the frequency with which this advice is output may be increased.

[0112] While the above description has primarily focused on improving or maintaining a mental state based on the support information, a physical state may also be improved or maintained based on the support information. For example, support information may be output to an unwell user and / or other users other than the unwell user when a high body temperature is detected in the user's physiological state. This may result in the unwell user taking action to improve their physical condition, or other users other than the unwell user encouraging the unwell user to improve their physical condition, thereby improving the unwell user's physical condition. To further explain, a user with a fever may experience a decrease in fever by getting more sleep. Furthermore, a user who is not exercising enough may experience improved sleep quality by stretching. Furthermore, a user who is experiencing stiff shoulders or back pain may experience relief by receiving chiropractic care or massage or by performing acupressure treatment themselves. Therefore, advice to encourage the unwell user to get more sleep, stretch, receive chiropractic care or massage, perform acupressure treatment themselves, etc. may be output to the unwell user and / or other users other than the unwell user.

[0113] In the above description, it has been explained that support information is output when the user's mental state is deteriorating or is estimated to deteriorate in the future, such as when the stress level is high. The above description does not limit the scope of the present invention, as long as support information is output when the target user's mental state is different from their normal state or is estimated to become different. For example, support information may be output when the openness of a user who is originally highly open increases sharply compared to the previous day, resulting in a significant change from the initial value of the user information. To further explain, support information may be output based not only on current user information, but also on past user information and / or future user information.

[0114] In the above description, the output support information is used to improve or maintain the user's deteriorating mental state, thereby improving the performance of the group. Here, the support information may be any information that changes the user's mental state and improves the performance of the group. For example, the support information may provide advice to a user with high flexibility of thinking to further improve that flexibility. In other words, the performance of the group may be improved by outputting support information that enhances the user's strengths.

[0115] In the above description, when both self-factor support information and other-factor support information are output to a single user, both the self-factor support information and the other-factor support information are output. However, the timing at which each piece of support information is output is not limited to simultaneous output. For example, when both self-factor support information and other-factor support information are output to a single user, the timing at which the self-factor support information and the other-factor support information are output may be different from each other. For example, the other-factor support information may be output after a predetermined time (e.g., two hours) has elapsed since the output of the self-factor support information was completed. By differentiating the output timings, the user can more easily take action in accordance with each piece of support information.

[0116] 9, the selection process for self-factor support information and the selection process for other-factor support information are performed in this order, but this is not limiting. For example, the self-factor support information and the other-factor support information may be stored in a common table, and a common priority may be set for the self-factor support information and the other-factor support information, so that the selection process for self-factor support information and the other-factor support information may be performed simultaneously. Additionally, the priority of the self-factor support information in this example may be set higher than the priority of the other-factor support information.

[0117] In the above description, the self-factor support information is selected with priority over the other-factor support information, but the present invention is not limited to this. For example, the other-factor support information may be selected with priority over the self-factor support information, or both the self-factor support information and the other-factor support information may be always selected.

[0118] Furthermore, in the description of the compatibility TB 113 shown in FIG. 3(B) above, the compatibility between users is managed based on personality tendencies, but this is not limiting. For example, the compatibility and relationship between users may be managed based on the users' ages, company history, and mental abilities. For example, when the difference in mental abilities (e.g., IQ) between users is equal to or exceeds a threshold, power harassment is generally more likely to occur. Therefore, in this case, the compatibility may be determined to be poor. In addition, for example, if the boss has a high IQ and the subordinate's IQ is significantly lower than the boss's, the boss may be advised to focus on the subordinate's mental state, and the subordinate may be advised to report to the boss more frequently.

[0119] Here, the advice output to the user may be configured to change depending on the difference in thinking ability between the users. For example, if a boss has a high IQ and a subordinate has a significantly lower IQ than the boss, the performance of the entire company (the entire group) may be improved if the boss proceeds with the work based on his or her own judgment without listening to the subordinate's opinions, rather than proceeding with the work while listening to the subordinate's opinions each time. Similarly, for example, if the boss has high thinking ability in a particular field (has studied that field for a longer period of time and has wisdom, holds qualifications in that field, has achieved high scores on tests in that field, has long experience in that field, and has achieved results in that field), and the subordinate has low thinking ability in that field, the advice output to the user may be configured to change.

[0120] Therefore, a support switching process may be performed to switch the content of support information depending on the difference in thinking ability between users. In this support switching process, a normal support setting, which selects normal support information as described above, and a special support setting, which is executed when the difference in thinking ability between users is large, are switched. For example, in the special support setting, the output of support information that enhances the psychological safety of the target subordinate is changed (e.g., restricted) compared to the normal support setting. Note that in the special support setting, the discretion of a superior user with high thinking ability is increased compared to the normal support setting, and the user is allowed to proceed with work at their own discretion. Furthermore, for example, by differentiating the other-factor support information TB153 (see Figure 6-2(B)) used in the normal support setting and the special support setting, the support information in each setting can be made different.

[0121] Here, specific examples of advice output in the normal support setting and the special support setting will be described. First, in the normal support setting, advice to increase the psychological safety of the target subordinate, such as "Actively hold discussions with your subordinates," is output to the supervisor. On the other hand, in the special support setting, advice to increase the psychological safety of the target subordinate, such as "Discuss with your subordinates areas in which you are not confident in your work," is output to the supervisor. In other words, in the special support setting, advice that is relatively limited in increasing the psychological safety of the target subordinate is output. Here, examples of limiting the output of support information to increase the psychological safety of the target subordinate include a mode in which advice different from the normal support setting is output to a user who is a supervisor with high thinking ability, a mode in which specific advice output in the normal support setting is not output, or a mode in which the frequency of output of specific advice is different from that in the normal support setting.

[0122] FIG. 13 is a flowchart showing the support switching process executed by the support information determination unit 170. 13, the support information determination unit 170 first acquires information indicating the thinking abilities of the target user and the target user's superior (see the registered information TB111 shown in FIG. 3(A) above) (S1301). Then, the support information determination unit 170 determines whether the superior's thinking ability is greater than that of the subordinate by a threshold or more (S1302).

[0123] If the superior's thinking ability is higher than that of the subordinate by at least the threshold (YES in S1302), the support information determination unit 170 performs special support setting (S1303). On the other hand, if the superior's thinking ability is not higher than that of the subordinate by at least the threshold (NO in S1302), the support information determination unit 170 performs normal support setting (S1304).

[0124] Another example of a configuration for switching advice output to users based on the difference in thinking ability between users may be a configuration in which advice based on a subordinate user's high level of power harassment is not output to a superior user with high thinking ability. More specifically, if the difference in thinking ability between the superior and the subordinate is less than a threshold, advice based on the subordinate's high stress level may be output to the superior if the subordinate feels high stress due to the power harassment from the superior. On the other hand, if the difference in thinking ability between the superior and the subordinate is greater than a threshold, processing (prohibition processing) may be performed in which advice based on the subordinate's high stress level is not output to the superior even if the subordinate feels high stress due to the power harassment. This prevents the superior from spending time dealing with the subordinate and thereby affecting the superior's work when the subordinate feels stressed because of the subordinate's insufficient thinking ability. Additionally, the prohibition processing may be performed under the conditions that the superior user has high thinking ability and the subordinate user's thinking ability is significantly lower than the superior user, and the superior is not rated low by other users. Here, a low evaluation from another user means, for example, that another user evaluates the superior as the causative user in Figure 4(A) above. This prevents the subordinate's stress value from not improving even when, for example, the superior is the cause of power harassment.

[0125] In addition to differences in the thinking ability between users, advice output to other users may be configured to change depending on other conditions, such as the personality traits of the stressed user (the unwell user) or the evaluation of the unwell user in the team to which the unwell user belongs. For example, even if a subordinate feels high stress due to power harassment from a superior, advice based on the subordinate's high level of power harassment may not be output. More specifically, if the subordinate's personality traits meet a specific condition (e.g., neuroticism score of 5 or higher), advice based on the subordinate's high stress level may not be output to the superior, even if the subordinate feels high stress due to power harassment (prohibition processing). This prevents the superior from spending time dealing with the subordinate, which would ultimately affect the superior's work, in cases where the subordinate's personality traits are thought to be the main cause of the problem, such as the subordinate's overreaction to the superior's words and actions due to their own personality traits and feeling stressed. Furthermore, the prohibition processing may be performed if the subordinate is poorly rated by other users. Here, a low evaluation from another user means, for example, that the subordinate is evaluated by another user as the causative user in Figure 4(A) above. This prevents the supervisor from spending time dealing with the subordinate when there is a problem with the subordinate's own behavior, which in turn affects the supervisor's work. In this case, the subordinate's perception may be improved first by providing measures such as "mindset change advice" to the subordinate or connecting them with a counselor.

[0126] In the above explanation, the level of power harassment, sexual harassment, and psychological safety in the target team are obtained from the target user. However, this information may also be obtained through an attitude survey of the members of the target team or through evaluations from the manager (or other members). In other words, data may be obtained from other users, such as colleagues, seniors, and juniors, rather than just from the superior-subordinate division. The levels of power harassment and sexual harassment are examples of the level of harassment. The level of harassment may also be measured using other levels of harassment, such as academic harassment and maternity harassment.

[0127] Furthermore, for example, if it is determined that a certain team has a user in poor condition, the frequency and weighting of advice sent to the team members may be varied for each member. For example, advice may be sent intensively to the poorly performing user and the poorly performing user's superiors and seniors, while lighter advice may be sent to all other team members.

[0128] Furthermore, if the target team lacks an element such as psychological safety (an element lower than a threshold), the supervisor may be notified of advice to set rules within the team to compensate for the lacking element. Also, advice to change the supervisor's awareness, advice to change the subordinate's awareness, advice to have the supervisor and subordinate discuss the issue, or advice to have the subordinate and supervisor discuss the issue, or advice to have the subordinate and supervisor discuss the issue, may be notified. Furthermore, for example, if the average psychological safety score of the team members is 2 or less, the frequency of outputting psychological safety advice may be increased (for example, twice a week instead of the usual frequency).

[0129] As described above, psychological safety may be evaluated using multiple evaluation items (seven evaluation items), such as "In this team, even if I make a mistake, I will not be punished." If any of the evaluation items has a lower score than a threshold (e.g., 3 or less), the support information determination unit 170 may notify the supervisor of advice to set a rule to improve the score of that evaluation item. For example, when the score of the evaluation item "In this team, even if I make a mistake, I will not be punished," is low, the support information determination unit 170 may output advice to the supervisor to improve the score of the evaluation item, such as "Share the complexity and uncertainty of the work, that is, the tasks assigned to the members and the entire project progress through an accumulation of failures." The user information management unit 110 may ask the supervisor a question (awareness survey) and acquire the answer to the question as user information. Based on this user information, the support information determination unit 170 may output advice to the supervisor to improve psychological safety. Poll questions might include, "Are you doing everything you can to make failure not something to be ashamed of?", "When someone comes to you with bad news, do you think about how to make sure it's a positive experience?", and "Are you proactive in reaching out to your subordinates and guiding them to the next step?"

[0130] Furthermore, the support information determination unit 170 may output advice to a supervisor or all users belonging to a team, setting a rule such as, "When criticizing something, don't criticize an individual, but criticize the behavior or output, such as a project or task, based on a certain degree of theory." Additionally, when the support information determination unit 170 outputs advice to the entire team setting a rule to improve the evaluation of a specific evaluation item, the advice may be output preferentially. For example, when the support information determination unit 170 determines that it is necessary to output advice to the entire team setting a rule to improve the evaluation of a specific evaluation item, the support information for outputting the advice may be set to a higher priority (e.g., a lower value) than normal for a predetermined period (e.g., one week) from the time the determination is made, so that the advice is output preferentially. By issuing similar advice to the entire team (all team members) in this way, it is easier to change the awareness and behavior of the entire team.

[0131] The individual presentation setting process may also be executed as follows. That is, it may be determined whether the cause of the unwell user's illness can be resolved by the unwell user's supervisor or a member of the same group, and the individual presentation setting process may be executed on the condition that it can be resolved. Here, whether a user is unwell may be determined based on whether the group member is expected to experience a decline in mental or physical condition due to environmental, climatic, or biological factors that will occur in the future or are currently occurring. Furthermore, it may also be determined whether the cause of the unwell user's illness can be resolved based on whether it is due to a specific environmental factor (such as being too bright), climatic factor (such as low pressure), or seasonal factor (such as biological factors or physiology).

[0132] The above description also describes the notification of advice to an unwell user encouraging them to consult with a public health nurse, industrial physician, mental health counselor, or career counselor. Here, the advice encouraging them to consult with a public health nurse, industrial physician, mental health counselor, or career counselor may be notified to the unwell user himself, but to other members of the same team (or the entire team). The recipients of the advice may include a public health nurse, industrial physician, mental health counselor, career counselor, or executive, instead of or in addition to the unwell user and other members. The person to consult (the person to consult) may also be determined based on user information. For example, the user may be asked questions about their personal goals or career concerns. If the user's answers indicate that these items are the cause of their concerns or unwellness, the person may be connected to a career counselor. Here, connecting the person to a career counselor (i.e., the person to consult) includes calling the person to consult, automatically scheduling an appointment, making a voice or video call within the system, making a recommendation, and so on. As another example, if it is determined that the user's physical condition (e.g., a worsening physiological state, a score of 3 or less) is the cause of the illness, the user may be connected to a public health nurse. If it is determined that mental instability (e.g., a decline in mental energy (health) and consecutive scores of 4 or less) is the cause of the illness, the user may be connected to a psychological counselor or psychiatrist. If it is determined that lifestyle habits (e.g., lifestyle information showing that the user is eating too little or too much, a score of 3 or less) are the cause of the illness, the user may be connected to a doctor. In this way, by connecting the user to an expert who is more knowledgeable about the cause of the user's illness (e.g., if the cause is career-related, the user may be connected to a career counselor who is an expert on careers), the user's illness can be better improved.

[0133] Furthermore, in the above description, the support information determination unit 170 has been described as determining the support information based on the user information of other users when issuing support information to each user, but this is not limiting. For example, instead of or in addition to this, the support information determination unit 170 may output support information to users who need support preferentially, based on the user information of each user. In this way, by the support information determination unit 170 preferentially outputting support information to specific users, it is possible to more efficiently improve team performance, for example.

[0134] In the above description, various thresholds and predetermined values ​​have been described. These thresholds and predetermined values ​​may be predetermined values, or may be values ​​obtained by learning using machine learning, deep learning, or the like.

[0135] Furthermore, in the above description, support information was described with reference to Figures 6-1(A) and 6-2(B), but is not limited to these. For example, in the above description, support information was output with the requirement that Condition 1 and Condition 2 be satisfied. However, this is not limited to these. For example, support information may be output with the requirement that three or more conditions be satisfied. Furthermore, each condition is set using user information, which may include at least one of thinking ability, personality tendencies, and resilience. More specifically, conditions may be set by combining multiple of these. By including at least one of thinking ability, personality tendencies, and resilience, advice corresponding to the user's thinking tendencies may be output. Furthermore, the user may be encouraged to consume specific foods or medicines, such as supplements, Chinese herbal medicine, or medicinal diet, depending on the resilience in the user information. For example, information encouraging the intake of foods considered effective for people who are judged to be in a state of excessive use of "qi" in the study of traditional Chinese medicine and Chinese herbal medicine is stored in the support information management unit 150. To further explain, the support information management unit 150 stores information output to a user who is determined to be using too much "ki," such as advice encouraging (recommending) eating foods with strong aromas, such as celery and parsley, or foods that are thought to replenish "ki," such as potatoes. Then, advice encouraging eating the above foods is output for a person with a low resilience score (e.g., a score of 2 or less) or a high neuroticism score (e.g., a score of 5 or more) on the NEO-FFI. For a person who uses too much "ki," advice encouraging them to take the Chinese herbal medicine Hochuekkito may be output. Furthermore, when a user's lifestyle habits, such as sleep time, are low (e.g., a score of 5 or less), the user may be encouraged to take the Chinese herbal medicine Sanzaorento for insomnia. Furthermore, the user may be asked about their career anchor and values, and famous quotes from great figures may be presented based on the user's answers. For example, a quote related to family may be presented to a user who responds that family is important.

[0136] Now, the management device 10 is a storage unit that stores support information for improving or maintaining the mental and physical state of the user; an acquisition unit that acquires user data of a specific user and user data of a user group consisting of a plurality of users including the specific user; a notification unit that notifies the user group of support information for supporting the specific user based on user data of the specific user and the user group; The server device can be regarded as a server device. In addition, the management device 10 a storage unit that stores support information for improving or maintaining the mental and physical state of the user; an acquisition unit that acquires user data of users that make up a user group including the first user and the second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; a restriction unit that restricts notification of support information that supports the first user to the second user according to an evaluation of the first user in the user group; The server device can be regarded as a server device.

[0137] Although various embodiments and modifications have been described above, it is of course possible to combine these embodiments and modifications. Furthermore, the present disclosure is not limited to the above-described embodiments, and can be implemented in various forms without departing from the gist of the present disclosure.

[0138] The information processing system 1 is an example of a system. The management device 10 is an example of a server device. The support information management unit 150 is an example of a storage unit. The user information management unit 110 is an example of an acquisition unit. The support information determination unit 170 is an example of a notification unit, a switching unit, and a restriction unit. The environmental information management unit 130 is an example of an environmental information acquisition unit. The relationship TB 117 is an example of a reliability acquisition unit. [Explanation of symbols]

[0139] 1... information processing system, 10... management device, 110... user information management section, 130... environment information management section, 150... support information management section, 170... support information determination section

Claims

1. A storage unit that stores support information for improving or maintaining a user's mental and physical state; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; Equipped with The notification unit notifying the second user of support information for supporting the first user; and notifying the second user of support information for supporting the second user; notifying the second user of support information supporting the second user with priority over support information supporting the first user; A server device that notifies the second user of support information for supporting the first user based on a time required to execute the support information for supporting the second user.

2. A storage unit that stores support information for improving or maintaining the user's mental and physical state; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; Equipped with The notification unit notifying the second user of support information for supporting the first user; and notifying the second user of support information for supporting the second user; notifying the second user of support information supporting the second user with priority over support information supporting the first user; A server device that notifies the second user of support information for supporting the first user based on the degree of intimacy between the first user and the second user.

3. A storage unit that stores support information for improving or maintaining the user's physical and mental state; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; Equipped with The notification unit notifying the second user of support information for supporting the first user; and notifying the second user of support information for supporting the second user; notifying the second user of support information supporting the second user with priority over support information supporting the first user; A server device that notifies the second user of support information for supporting the first user based on the stress information of the second user.

4. A storage unit that stores support information for improving or maintaining the user's mental and physical state; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; Equipped with The notification unit notifying the second user and the first user of support information for supporting the first user; A server device that notifies the second user of support information to support the first user, and then notifies the first user of support information to support the first user after a change in the second user is confirmed.

5. A storage unit that stores support information for improving or maintaining the user's physical and mental state; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; an environment information acquisition unit that acquires information about an environment where the first user is located; a trustworthiness acquisition unit that acquires the trustworthiness of the first user with respect to a group that includes the first user and the second user; Equipped with The notification unit notifying the second user of support information for supporting the first user based on the information about the environment; identifying the first user in support information for supporting the first user that is notified to the second user when the reliability is high, and not identifying the first user in support information for supporting the first user that is notified to the second user when the reliability is low. Server device.

6. The user data includes at least one of data indicating the user's thinking ability, data indicating the user's personality tendencies, and data indicating the user's resilience. The server device according to any one of claims 1 to 5.

7. A system including a terminal and a server device, The server device a storage unit that stores support information for improving or maintaining the mental and physical state of the user; an acquisition unit that acquires user data of a first user and a second user; a notification unit that notifies the second user of support information for supporting the first user based on user data of the first user and the second user; Equipped with The notification unit notifying the second user of support information for supporting the first user; and notifying the second user of support information for supporting the second user; notifying the second user of support information supporting the second user with priority over support information supporting the first user; A system that notifies the second user of assistance information that assists the first user based on the time required to execute the assistance information that assists the second user.

8. storing support information for improving or maintaining the user's physical and mental state; obtaining user data of a first user and a second user; notifying the second user of support information for supporting the first user based on user data of the first user and the second user; notifying the second user of support information that supports the first user; and notifying the second user of support information that supports the second user. notifying the second user of support information supporting the second user in preference to support information supporting the first user; notifying the second user of assistance information for assisting the first user based on a time required to execute the assistance information for assisting the second user; A program that causes a computer to execute the following.

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