JP2016163292A - Information processor, communication support system, information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system for providing a user who desires a meeting of an encounter with information of a mental state of another user being a target person to be met.SOLUTION: An information processor is provided, including a detection part for detecting biological information of a first user U1, an estimation part for estimating first mental state information X1 on the basis of the biological information of the first user, an acquisition part for acquiring second user information MS2 including second mental state information X2 derived on the basis of biological information of a second user U2, a notification information generation part for generating notification information MS1, MS2 to be notified to the first user U1 on the basis of the first mental state information X1 and the second mental state information X2, and a notification part (display part 21) for giving the notification information.SELECTED DRAWING: Figure 10

Description

  The present invention relates to an information processing apparatus, a communication support system including the information processing apparatus, an information processing method, and a program.

  In Japan, as of October 1, 2013, about 25% are elderly people over the age of 65 and are expected to increase in the future. About 60% of the elderly participate in group activities based on locality and hobbies. On the other hand, in elderly people living alone, the rate of conversation frequency less than once every two to three days is about 29% for men and 22% for women. (See www8.cao.go.jp/kourei/whitepaper/w-2014/gaiyou/pdf/1s2s_4.pdf). For such elderly people living alone, providing an opportunity to find and talk to other people who have the same region and the same hobbies is the beginning of participation in group activities. Patent Document 1 proposes a system that supports face-to-face (face-to-face) encounters without missing the opportunity of “another person who wants to meet is nearby”.

JP 2013-17203 A

However, the system described in Patent Document 1 does not consider the mental state of others who want to meet. Specifically, human psychological states may include low mental states such as feeling depressed or not motivated, and high mental states such as being energetic or aggressive , Each state changes from time to time as a result of what happens to the parties. If you do not recognize the mental state of others who want to meet you, but consider it as an opportunity for conversation and set up a unilateral conversation, depending on the state of the other party, you will be awkward to each other, rather than being able to establish a conversation, There is also a risk of lowering the state. As described above, if the mental state of another person who wants to meet is not recognized, it is regarded as an opportunity for conversation, and there is a high risk of making the conversation fail.
A user using the system according to Patent Document 1 can know that another user who wants to meet is nearby, but cannot know the mental state of the other user. Therefore, there is a need for a system that allows a user who wishes to meet face-to-face to recognize the mental state of another user who is a person to meet.

  SUMMARY An advantage of some aspects of the invention is to solve at least a part of the problems described above, and the invention can be implemented as the following forms or application examples.

  Application Example 1 An information processing apparatus according to this application example includes a detection unit that detects biological information of a first user, and an estimation unit that estimates first mental state information based on the biological information of the first user. And an acquisition unit for acquiring second user information including second mental state information derived based on the biological information of the second user, based on the first mental state information and the second mental state information And a notification information generation unit that generates notification information to notify the first user, and a notification unit that notifies the notification information.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

  Application Example 2 The notification information generation unit according to the application example generates the notification information based on difference information regarding a difference between the first mental state information and the second mental state information. It is characterized by.

  According to this application example, the first user can check the mental state of the second user in comparison with his / her mental state.

  Application Example 3 The broadcast information generation unit according to the application example includes the second user information in the broadcast information when the difference information is within a predetermined range.

  According to this application example, the first user can check the information of the second user who shows a mental state within a predetermined range with respect to his / her mental state.

  Application Example 4 The predetermined range described in the application example is determined according to a state of the first mental state information of the first user.

  According to this application example, the first user can confirm the information of the second user having a mental state close to his / her own mental state, for example.

  Application Example 5 further includes a first position information detection unit that detects the position information of the first user described in the application example, and a second position information acquisition unit that acquires the position information of the second user. When the second user is present in a predetermined area set based on the position information of the first user, the notification information generation unit displays the second user information of the second user as the second user information. It is characterized by being included in the broadcast information.

  According to this application example, the first user can check the position information of the second user based on the position information of the first user. For example, the first user can check the information of the second user who can have a face-to-face conversation at a position close to his / her position.

  Application Example 6 The second user information described in the application example includes personal information of the second user.

  According to this application example, the first user can acquire the personal information of the second user.

  Application Example 7 The application example further includes a first user information acquisition unit that acquires first user information including the personal information of the first user described in the application example, and the notification information generation unit includes the first user information. Based on this, it is determined whether to include the second user information of the second user in the notification information.

  According to this application example, the first user can preferentially check the second user related to his / her personal information.

  Application Example 8 The personal information described in the application example includes at least one of sex, age, and hobby.

  According to this application example, the first user can confirm specific personal information regarding the second user.

  [Application Example 9] The biological information described in the application example includes pulse wave information.

  According to this application example, it is possible to acquire biological information that appears in changes in pulse waves of the first user and the second user. For example, the state of sympathetic nerves and parasympathetic nerves closely related to changes in pulse waves can be estimated.

  [Application Example 10] The first mental state information and the second mental state information described in the application example include a relaxed state, an excited state, a tension state, a sleep state of the first user and the second user, And at least one of fatigue states based on information.

  According to this application example, the states of the minds of the first user and the second user can be estimated from information such as a relaxed state, an excited state, a tension state, a sleep state, and a fatigue state.

  Application Example 11 The first mental state information and the second mental state information described in the application example are determined based on exercise intensity in body movements of the first user and the second user. It is characterized by.

  According to this application example, the state of the mind according to the exercise intensity of the first user and the second user can be estimated. For example, the state of the heart from which the influence of the exercise intensity is eliminated can be estimated from the pulse rate that varies due to the user exercising.

  Application Example 12 In the notification information described in the application example, whether or not a conversation between the first user and the second user is recommended according to a difference status of the difference information, the first user is determined. And whether or not it is recommended that the second user act together, at least one of the wording information is included.

  According to this application example, the first user can confirm in advance whether or not there is a possibility of success in face-to-face conversation with the second user and acting together.

  Application Example 13 A communication support system according to this application example includes a detection unit that detects biological information of a first user, and an estimation unit that estimates first mental state information based on the biological information of the first user. And an acquisition unit for acquiring second user information including second mental state information derived based on the biological information of the second user, based on the first mental state information and the second mental state information A notification information generation unit that generates notification information to be notified to the first user, a notification unit that notifies the notification information, and a communication unit that transmits the first mental state information and receives the second user information An information processing apparatus comprising: a server communication unit that receives the first mental state information and transmits the second user information; and users related to users including the first user and the second user. Characterized in that it comprises a server management unit that manages over information, the server comprising, a.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

  Application Example 14 According to the communication support system described in the application example, the biological information of the second user is detected, the second mental state information is estimated based on the biological information of the second user, And a second information processing device that transmits the second mental state information to the server.

  According to this application example, the second information processing apparatus can estimate the mental state information of the second user.

  Application Example 15 A communication support system according to this application example includes a detection unit that detects biological information of a first user, a notification unit that notifies notification information to the first user, and biological information of the first user. A first information processing apparatus comprising: a communication unit that transmits and receives the notification information; a second information processing apparatus that detects biological information of the second user and transmits the biological information of the second user; A server communication unit that receives the biometric information of one user and the biometric information of the second user, and transmits the notification information to the first user; estimates mental state information based on the biometric information; An estimation unit that outputs the first mental state information from the biological information of the user, and outputs the second mental state information from the biological information of the second user, the first mental state information, and the second Based on the state information, characterized in that and a server and a broadcast information generation unit configured to generate the notification information to notify the first user.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

  Application Example 16 A communication support system according to this application example detects a first user's biological information, and first estimation that estimates first mental state information based on the first user's biological information. Based on the first mental state information and the second mental state information, the receiving unit for receiving the second mental state information derived based on the biological information of the second user, A first information processing apparatus comprising: a notification information generating unit that generates notification information to be notified to a user; and a notification unit that notifies the notification information; and detecting biological information of the second user; A second information processing apparatus that estimates the second mental state information based on biological information and transmits second user information including the second mental state information.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

  Application Example 17 An information processing method according to this application example detects biological information of a first user, estimates first mental state information based on the biological information of the first user, and Second user information including second mental state information derived based on biological information is acquired, and notified to the first user based on the first mental state information and the second mental state information Broadcast information is generated, and the broadcast information is broadcast.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

  Application Example 18 A program according to this application example detects biometric information of a first user, estimates first mental state information based on the biometric information of the first user, and biometric information of a second user. The second user information including the second mental state information derived based on the first mental state information and the notification information to notify the first user based on the first mental state information and the second mental state information And informing the computer of the notification information.

  According to this application example, the second mental state information of the second user who is a subject to be met is notified to the first user who wishes to meet in person. Therefore, a user who wishes to meet face-to-face can recognize the mental state of another user who is a subject to be met.

Explanatory drawing showing the outline | summary of a support system. The figure explaining quantification of a mental state. The figure explaining quantification of an exercise state. The block diagram which shows schematic structure of a support system. The figure showing an example of a compatibility definition table. The figure explaining the data structure of user information data. The figure showing an example of a word definition table. The figure showing an example of a word reference table. The figure showing the display screen displayed on the display part of a terminal device. The figure showing the display screen displayed on the display part of a terminal device. FIG. 5 is a block diagram illustrating a schematic configuration of a support system according to a second embodiment. FIG. 9 is a block diagram illustrating a schematic configuration of a support system according to a third embodiment. The block diagram showing the schematic structure of the terminal device concerning the modification 1. FIG.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following drawings, the scale of each layer and each member is made different from the actual scale so that each layer and each member can be recognized.

(Embodiment 1)
FIG. 1 is an explanatory diagram showing an outline of the support system. 9 and 10 are diagrams illustrating display screens displayed on the display unit of the terminal device.

(Outline of support system)
The support system 1 shown in FIG. 1 includes a terminal device 7 worn on the wrist WR of the user U1 as the first user, and a terminal device 7A worn on the wrist WR of the user U2 as the second user different from the user U1. And a server 3 that manages various information of the user U1 and the user U2 and a communication 5 that transmits and receives data between the terminal devices 7, 7A and the server 3 by wireless communication.
The terminal device 7 corresponds to an information processing device, and the system including the terminal device 7, the server 3, and the communication 5 in the support system 1 corresponds to a communication support system. The support system 1 including the terminal device 7A also corresponds to a communication support system.

  The terminal device 7 and the terminal device 7A are wristwatch-type devices having the same components, and include a pulse sensor 11, a body motion sensor 13, a display unit 21, and the like. The pulse sensor 11 is disposed on the wrist WR side while being worn on the wrist WR, and detects a blood flow on the skin surface to detect a pulse wave and a pulse rate. While worn on the wrist WR, the pulse rate is constantly detected in daily life including exercise and sleep. For example, the pulse rate can be detected every few seconds (eg 1 second) while jogging. It is. The body motion sensor 13 is composed of an acceleration sensor or the like, and detects body motion information such as exercise intensity associated with the body motion of the user U1.

  The display unit 21 is a display device capable of displaying characters and icons, and is, for example, a flexible dot matrix type EPD (Electrophoretic Display) that can be flexibly deformed. A display screen as shown in FIGS. 9 and 10 is displayed on the display unit 21. FIG. 9A shows that the mental state of the user U1 is “5”, and the mental state of the user U2 is also “5”. The mental state of the user U1 corresponds to the first mental state information, and the mental state of the user U2 corresponds to the second mental state information.

  A mental state is a quantification of the state of the human heart. A mental index X is calculated as an index for quantifying the mental state. A method for calculating the mental index X will be described later. The mental index X is an integer value ranging from 0 to 10. When the mental state shown in the above example is “5”, the mental index X is calculated as an index value of 5. (Psychological index X = 5).

  The mental index X, which is an intermediate value between 0 and 10, indicates that the user's mental state is in a neutral state. When the mental index X shifts to 0 around the mental index X = 5, it indicates that the mental state gradually decreases, and when the mental index X becomes 0, the mental state is It is the lowest state. The state where the mental state is low is, for example, a state where motivation (motivation, motivation) for talking with others is low.

  When the mental index X shifts to the 10 side centering on the mental index X = 5, it indicates that the mental state is gradually increased, and when the mental index X reaches 10, the mental state is highest. For example, the motivation is high (motivated). In general, if you are aiming to achieve some goal, higher motivation is preferable, but if you want to make a face-to-face conversation successful, it is always better. It doesn't matter. Appropriate height of motivation balanced between the user U1 and the user U2 can promote mutual communication, achieve a successful face-to-face conversation and achieve an encounter. It can be done.

  The display screen shown in FIG. 9C is an example in which user U1 information that is compatible with the user U1 for face-to-face conversation is displayed. The user U1 can recognize that the compatible user is the user U2 by checking the display example of FIG. 9C.

  The display screen shown in FIG. 10 is displayed with icons of the user U1 and the user U2 arranged on the map 211 based on the positional information of the user U1 wearing the terminal device 7 and the user U2 wearing the terminal device 7A. This is an example. In addition, information on the user U3 and the user U4 is also displayed on the map 211. Devices similar to the terminal devices 7 and 7A are also attached to the wrists WR of the users U3 and U4. The map 211 displays the mental indices X1 to X4 of the users U1 to U4, and the user U1 confirms the display screen displayed on the display unit 21 so that the users U2 to U4 have their own positions. It is possible to know that they are close to each other, and the respective mental states can be confirmed by the mental indices X2 to X4. Further, the messages MS2 to MS4 are messages directed to the user U1, and as a result of comparing the mental index X1 of the user U1 with the mental indices X2 to X4 of other users, the user U1 and other users are compared. It is a word that expresses the compatibility of mental states.

(Mental state quantification process)
Next, processing for quantifying the mental state will be described. Specifically, a plurality of types of mental states are estimated based on the detected biological information, and a mental index X is calculated from the estimation result. The mental index X is an integer value of 0 to 10 as described above. The mental index X is an index of the state of motivation (motivation, motivation) that affects the act of having a face-to-face conversation with another person or acting together.

  First, mental states such as a tension state, a relaxed state, and a wakeful state are estimated from biological information such as a heart rate (pulse), blood pressure, and body temperature. Here, a method of estimating from a heartbeat (pulse) will be described.

  The heart is controlled by an autonomic nerve composed of a sympathetic nerve and a parasympathetic nerve and repeats pulsation. The sympathetic nerve and the parasympathetic nerve work in a contrasting manner, and the sympathetic nerve activates the mind and body to be excited or nervous, and the parasympathetic nerve activates the mind and body to rest and relax. Moreover, if the function of the sympathetic nerve increases, the autonomic nerve activates the pulsation of the heart. On the other hand, if the function of the parasympathetic nerve increases, the autonomic nerve slowly beats the heart. That is, by observing the activity state of the heart, it is possible to estimate the state of the sympathetic nerve and the parasympathetic nerve.

  In order to determine the state of motivation, it is not sufficient to grasp the state of the excitement or tension state and the relaxed state that appear due to the action of the sympathetic and parasympathetic nerves. For example, if you have a nightmare during sleep and your heart beats vigorously, or if you watch a horror movie on TV when you are tired, the tension is increasing, but the motivation is high Not necessarily. At least, it is not a state of high motivation to help make a face-to-face conversation successful. It is necessary to comprehensively determine the state of motivation in consideration of other mental states that appear due to the action of sympathetic and parasympathetic nerves.

Therefore, the following three types of mental states including the above-described mental state of excitement or tension and relaxed state are extracted and estimated.
Excitement, tension and relaxed state (State 1)
Awakening and sleeping state (State 2)
Healthy and tired state (State 3)

  The state 1 is a mental state in which the above-described sympathetic nerve is in an excited / tensile state and the parasympathetic nerve is in a relaxed state. State 2 is a mental state in which the sympathetic nerve becomes awakened when the sympathetic nerve becomes high, and the sleep state tends to sleep when the parasympathetic nerve becomes high. State 3 is a mental state in which a sympathetic nerve becomes high and a healthy state is reached, and when the parasympathetic nerve becomes high, a tired state is felt to rest the mind and body.

Next, a method for quantifying the mental state from state 1 to state 3 will be described.
FIG. 2 is a diagram for explaining quantification of a mental state. State 1, state 2, and state 3 shown in FIG. 2 correspond to state 1, state 2, and state 3 described above, and the numerical value obtained by quantifying state 1 is stored in variable P 1, and state 2 is transferred to variable P 2. , State 3 is stored in variable P3.

  In the quantification of the state 1, the frequency change (FFT) of the pulse waveform (heart rate) or pulse wave detected every second from the user is subjected to frequency analysis (FFT), and the high frequency component HF and low A known method for analyzing the frequency component LF is used. Based on the calculated appearance ratio of the high-frequency component HF and the low-frequency component LF, if the ratio of the high-frequency component HF is large, the sympathetic nerve is close to excitement or tension, and if the ratio of the low-frequency component LF is large, the parasympathetic nerve The state is approaching a relaxed state. In state 1, the neutral point of the appearance ratio of the high frequency component HF and the low frequency component LF is determined, the neutral point is 0, the value at which the appearance rate of the high frequency component HF is maximum is +5, and the appearance of the low frequency component LF A value that maximizes the rate is set to -5, and is converted into a numerical value within a range of -5 to +5.

  In the quantification of the state 2, a method of extracting the minimum pulse rate from the pulse rates in a predetermined period (for example, the latest one hour) detected by the user is used. In state 2, the pulse rate that becomes the boundary between the awake state and the sleep state is set to 0, the pulse rate at rest (pulse rate of basal metabolism) is −5, the pulse rate at rest in the state of not exercising is +5, − It is digitized in the range of 5 to +5.

In the quantification of the state 3, a method of extracting the maximum pulse rate among the pulse rates in a predetermined period (for example, the latest one hour) detected from the user is used. In state 3, quantification is performed by comparing with the maximum pulse rate in the pulse rate including the past detected by the user. For example, if the user's maximum daily pulse rate measured in the past is in the range of 140 to 160 bpm, the intermediate 150 bpm is set to 0, 160 bpm is set to +5, 140 bpm is set to -5, and -5 to +5. It is digitized in the range. If the most recent one hour maximum pulse rate detected by the user is 160 bpm, +5 is the quantified value of state 3.
When the latest maximum pulse rate is high, the user's mind and body are enriched, and there is a tendency to behave and exercise to raise the pulse rate, so it is estimated that the user is in a healthy state Therefore, the quantification of the state 3 is performed.

As described above, values in the range of −5 to +5 are stored in the variable P1, the variable P2, and the variable P3 for each of the state 1, the state 2, and the state 3. The mental index X is calculated in the range of 0 to 10 according to the following formula 1.
X = (P1 + P2 + P3 + 15) ÷ 3 (Expression 1)
In this way, the state of motivation can be indexed using the mental index X by quantifying a plurality of mental states.

In order to calculate the motivation state more accurately than the above-described equation 1, the mental index X can be calculated in consideration of the user's exercise state.
Since the pulse rate increases when the user is exercising intensely, the influence on the quantification of the state 1 and the state 3 described above is large. In such a case, the motivation does not increase in proportion to the increase in the pulse rate. It is necessary to estimate the motivation state while suppressing the influence of the pulse rate that varies depending on the exercise state.

Therefore, using the exercise intensity acquired from the body motion sensor 13, the user's exercise state is digitized and reflected in the mental index X which is a motivation state. The movement state is referred to as state 4 as follows.
Exercise state according to exercise intensity (State 4)

  The quantification of the motion state will be described with reference to FIG. FIG. 3 is a diagram for explaining the quantification of the motion state. The horizontal axis of the graph of FIG. 3 is the exercise intensity I (unit is mets), and the vertical axis is the exercise state M (I). The exercise state M (I) is a function with the exercise intensity I as an argument. The graph of the curve represents the state 4 and shows the exercise state M (I) with respect to the exercise intensity I, and the numerical value obtained by quantifying the state 4 is stored in the variable P4. Since the motion state M (I) is a numerical value in a range from −5 to +5, a numerical value from −5 to +5 is stored in the variable P4 in the state 4. Examples of exercises shown on the horizontal axis indicate “from lying down”, “sitting (raising the upper body)”, “walking”, “running”, and “sporting” from the one with the smaller exercise intensity I. Has been.

  As shown in FIG. 3, the state 4 indicates a value near 0 when the exercise example is “sit”. That is, in the state 4, the state where the user is sitting is a neutral point 0, “lie down” is in the direction of −5, and “walk” is +5. The value P4 shown in FIG. 3 is calculated as -5 when the user is in the “lie down” state.

  When the exercise example is “walking”, the state 4 has a maximum value of +5, indicating that the exercise intensity I is a mental state in which motivation can be maintained high. In addition, when the exercise example is “Run”, State 4 has a smaller value than “Walk” because the pulse rate increased by exercising gave more than necessary to quantify the mental state. This is because it works in a direction to suppress the influence. In addition, when the exercise example is “lie down” and the state 4 shows −5, the result of quantifying the motivation that increases the pulse rate in the “lie down” state is high. When it comes out, it works to subtract the numerical value of quantification.

Thus, the mental index X in which the exercise state is added to the mental state is calculated in the range of 0 to 10 by the following formula 2.
X = (P1 + P2 + P3 + P4 + 20) ÷ 4 (Expression 2)
The mental index X is expressed as an integer value from 0 to 10, and when the mental index X is 5, it indicates that the motivation is neutral, and when the mental index X is 0, the motivation is When it is the lowest state and the mental index X is 10, it indicates that the motivation is the highest. However, it should be noted that even in the most motivated state, it is not necessarily the best in terms of making a face-to-face conversation successful.

  Although Equations 1 and 2 have been described as equations for calculating the mental index X, the mental state index value representing the motivation state is calculated using either equation. Any expression may be used in the support system 1 as long as the same expression is used throughout.

  2 and 3, in the example of the points indicated by black dots, the variable P1 is 3, the variable P2 is 2, the variable P3 is 2, and the variable P4 is −5. When applied to, the mental index X is calculated as 7 in Equation 1 and 6 (rounded off after the decimal point) in Equation 2.

(Block structure of support system)
FIG. 4 is a block diagram showing a schematic configuration of the support system.
The support system 1 includes a terminal device 7 and a server 3. Further, the support system 1 may include a terminal device 7A shown in FIG.

(Configuration of terminal device 7)
The terminal device 7 includes a detection unit 10, a notification unit 20, an operation unit 25, a clock unit 27, a communication unit 29, a storage unit 30, a control unit 50, and the like.

  The detection unit 10 includes a pulse sensor 11, a body motion sensor 13, a positioning sensor 15, and the like. The detection unit 10 corresponds to a detection unit.

  The pulse sensor 11 is configured by a photoelectric sensor including a light emitting element and a light receiving element. The pulse sensor 11 irradiates light from the light emitting element toward the living body, and receives reflected light reflected by the blood vessel by the light receiving element. The pulse sensor 11 detects a user's pulse wave using a phenomenon in which the reflectance of light differs between when the blood vessel is dilated and when it is contracted. The pulse sensor 11 performs frequency resolution processing on the detected pulse wave data, analyzes the signal intensity value of each frequency, and specifies a frequency spectrum corresponding to the pulse wave. Then, the pulse rate is calculated from the frequency of the frequency spectrum of the pulse wave. The calculated pulse rate and pulse wave are output to the control unit 50 as biological information. The pulse sensor 11 is not limited to the above-described photoelectric sensor, but may be an ultrasonic sensor that measures the pulse rate by detecting the contraction of the blood vessel with ultrasonic waves. You may employ | adopt the sensor etc. which measure a number.

The body motion sensor 13 is an acceleration sensor or the like, and is a MEMS (Micro Electro Mechanical Systems) sensor that detects acceleration in three substantially perpendicular directions. The acceleration change of each axis in the three axis directions is measured at every sampling interval, and an acceleration signal is generated. The sampling interval is set to 16 Hz or more, for example. The amount of change in acceleration per unit time is integrated from the acceleration signal, and the exercise intensity I is calculated from the amount of exercise per unit time. The body motion information including the calculated exercise intensity I is output to the control unit 50.
The body motion sensor 13 may include a gyro sensor. The gyro sensor is a MEMS sensor that detects angular velocities about three substantially orthogonal axes as central axes, and generates angular velocity signals by measuring changes in angular velocities about the respective axes at each sampling interval. The sampling interval is set to 16 Hz or more, for example. The amount of exercise associated with the user's body tilt or rotation may be calculated per unit time using the angular velocity signal, and such information may also be used for the exercise intensity I.

  The positioning sensor 15 includes a sensor unit that receives positioning information from a positioning GNSS (Global Navigation Satellite System) satellite and an antenna unit, and calculates position information of the terminal device 7. In the present embodiment, an example in which GPS (Global Positioning System) is used as GNSS will be described. The antenna unit receives an RF (Radio Frequency) signal including a satellite signal transmitted from a GPS satellite. The received RF signal is output to the sensor unit. The sensor unit is configured as an LSI (Large Scale Integration) including an RF receiving circuit and a baseband module, and extracts and acquires information related to positioning superimposed on the RF signal input from the positioning antenna. Specifically, signal processing is performed on the input RF signal, and the satellite signal of the GPS satellite is captured. The navigation message superimposed on the captured satellite signal is separated, and the positioning information included in the navigation message is acquired. The positioning information includes almanac and ephemeris. The received satellite signal includes the accurate transmission time transmitted from the GPS satellite and information on the radio wave propagation delay at the time of reception, and the pseudo distance between the GPS satellite and the terminal device 7 is calculated. The pseudo distance and information of almanac and ephemeris are acquired for at least four GPS satellites, and a known position calculation process is performed to calculate the position (position coordinates) and clock error (clock bias) of the terminal device 7. The position calculation process can be realized as a process using a method such as a least square method or a Kalman filter. The calculated position information is output to the control unit 50.

  The positioning sensor 15 can also calculate position information based on the reception frequency of the reception signal acquired from the GPS satellite. In this method, a vector amount having components in three directions orthogonal to each other is calculated as position coordinates by a known position calculation operation based on code phases and the like by at least four GPS satellites. Further, a vector quantity having components in three directions orthogonal to each other is calculated as a velocity vector by a known calculation based on the reception frequency of at least four GPS satellites (Doppler frequency obtained from the reception frequency). Thus, the calculated position coordinates and velocity vector are output to the control unit 50 as position information.

  In addition, although illustrated as a structure provided with an antenna part and a sensor part in order to acquire the information for positioning for calculating the positional information on the terminal device 7, it is not limited to this structure. For example, a configuration including a gyro sensor or an acceleration sensor may be used. According to this configuration, the position information of the terminal device 7 can be calculated using a positioning method based on a known autonomous navigation or inertial navigation.

The notification unit 20 includes a display unit 21, a sound output unit 23, and the like. Note that the notification unit 20 corresponds to a notification unit.
The display unit 21 is a flexible dot matrix type EPD as described above, and performs various displays based on a display signal input from the control unit 50. The display unit 21 may be an LCD (Liquid Crystal Display), a segment type LCD, or the like.

  The sound output unit 23 includes a speaker, a piezoelectric vibrator, and the like, and is a sound output device that performs various notifications based on an output signal input from the control unit 50. The sound output unit 23 outputs various information about other users to the user U1 by voice. Note that the sound output unit 23 may include an earphone jack or a short-distance radio, and in that case, an audio output signal may be transmitted to the earphone or headphones worn by the user U1.

  Note that the notification unit 20 includes a plurality of light emitting elements such as LEDs (Light Emitting Diodes) that emit light of a plurality of colors, and the LEDs are used to notify the user U1 of the presence of other users and new information. It may be configured to emit light.

  The operation unit 25 is an input device configured to include a touch sensor, a touch panel, and the like. The operation unit 25 detects a part touched by a method such as a capacitance method or a resistance film method, and outputs a detection signal to the control unit 50. To do.

  The clock unit 27 is a real-time clock, and has a clocking function such as a clock output to the detection unit 10, a timer function, a clock function, and a stopwatch function.

The communication unit 29 is a wireless communication adapter such as a mobile phone communication or a wireless local area network (LAN), and has a common communication protocol with the IP (Internet Protocol) and the server 3. The communication unit 29 transmits / receives various data and various commands to / from the server 3 and the terminal device 7A using a communication protocol such as IP. The communication unit 29 is not limited to this configuration, and may be any communication adapter that can perform wireless communication. For example, the communication unit 29 may be a short-range wireless adapter or a Bluetooth (registered trademark) adapter.
The communication unit 29 corresponds to a communication unit.

The storage unit 30 is configured by a storage device such as a ROM (Read Only Memory), a flash ROM, or a RAM (Random Access Memory), and stores various programs, data, and the like for realizing each functional unit of the control unit 50. Yes. In addition, it has a work area for temporarily storing in-process data, variable values, processing results, and the like of various processes.
The storage unit 30 stores a compatibility definition table 31, user information data 33, a wording definition table 37, a control program 39, and the like.

  FIG. 5 is a diagram illustrating an example of the compatibility definition table. The compatibility definition table 31 is a table in which mental indexes X of other users having good compatibility for the face-to-face conversation are defined with respect to the mental indexes X of the user U1.

  The user mental index X311 is an item in which the mental index X of the user U1 is shown. The other user mental index X313 defines a value of the mental index X that is compatible with the mental index X of the user U1 described in the item of the user mental index X311.

  For example, when the user mental index X311 is “0” or “1”, the other user mental index X313 is “Null” (no object). This indicates that when the mental index X of the user U1 is the lowest mental state such as “0” and “1”, there is no compatible mental index X. In other words, if the user U1 himself has the lowest motivation to talk with others, it is difficult to establish a conversation regardless of the mental index X user. The definition has been made.

  Further, even when the user mental index X311 is “10”, the other user mental index X313 is “Null”, and there is no mental index X having good compatibility. In other words, when the user U1 himself has the best motivation to talk to others, the definition of this is because other users cannot cope with the user U1's too high motivation and face-to-face conversation is difficult to establish. Has been.

  When the user mental index X311 is “2” to “9”, the other user mental index X313 is defined to include the same index value as the user mental index X311 and the index values before and after the user mental index X311. . The user U1 is defined in this way because it is easy to sympathize with the mental state of another user who is close to his / her motivation.

  When the user mental index X311 is “4” to “6”, the target range of the other user mental index X313 is wide. For example, when the user mental index X311 is “3”, the other user mental index X313 is three index values “2” to “4”, whereas the user mental index X311 is “4”. The other user mental index X313 defines five index values “2” to “6”. In the state where the mental state of the user U1 is close to neutral (index values are “4” to “6”), it is sympathetic with users in a wide range of mental states, and it is easy to establish a face-to-face conversation. ing.

  FIG. 6 is a diagram for explaining the data structure of user information data. The user information data 33 stores user data such as the user U1 and the user U2 in accordance with the data structure shown in FIG.

The user ID 331 stores a user identifier.
The mental information 335 stores information related to the mental state of the user, and includes a mental index X336 and an acquisition time 337. In the mental index X336, an index value of the mental index X calculated by the control unit 50 is stored. The acquisition time 337 stores the time when the mental index X336 is calculated.

The location information 340 stores information related to the location information of the user, and includes a latitude 341, a longitude 343, and an acquisition time 345. In latitude 341 and longitude 343, longitude and latitude are stored from the positioning information of the user calculated by the control unit 50, respectively. The acquisition time 345 stores the time at which the latitude 341 and the longitude 343 are acquired.
The user information 350 stores information related to the personal information of the user, and includes a user name 351, a sex 353, an age 355, a hobby 357, a comment 359, and the like. Each data stores the user name, sex, age, hobby, and comment of the user whose input is controlled by the control unit 50.

The user ID 331A is an identifier of another user. The user ID 331A has the same data structure as the user ID 331 (not shown). In the user ID 331, the various data stored are the data of the user U1 generated by the control unit 50, whereas the data stored in the user ID 331A is the server 3 and other terminals under the control of the control unit 50 Data acquired from the device 7A is stored.
Note that each data having the above-described data structure may include an attribute relating to public information. The public information can be set for each data, and is a flag indicating whether or not the target data can be disclosed to other users.

FIG. 7 is a diagram illustrating an example of the word definition table. FIG. 8 is a diagram illustrating an example of the word reference table.
The wording definition table 37 converts information on the mental state (mental index X) of the user U1 and the mental state (mental index X) of another user such as the user U2 into character information to be notified to the user U1. It is a table.
The word reference table shown in FIG. 8 is a diagram in which words corresponding to tag information (UserT1, ConvT1, ActT1, AddT1, etc.) included in the word definition table 37 are defined. Hereinafter, description will be made with reference to FIGS.
The wording definition table 37 includes items such as a user mental index X371, a user state wording 372, another user mentality index X373, a conversation wording 374, an action wording 375, and an additional wording 376.

The user mental index X371 is an index value of the mental index X of the user U1.
The user state wording 372 defines a word indicating the mental state of the user U1. By referring to the UserT tag 381 shown in FIG. 8A from the stored tags (UserT1 to UserT10), the corresponding wording 382 can be acquired.
The other-user mental index X373 is an index value of the mental index X of another user such as the user U2, and is an index of the other user's mental index X that reports common character information for each index value of the user U1. The values are summarized.

The conversation wording 374 defines a wording related to the face-to-face conversation of another user with respect to the user U1. By referring to the ConvT tag 383 shown in FIG. 8B from the stored tags (ConvT1 to ConvT3), the corresponding wording 384 can be acquired.
The action wording 375 defines a word relating to the action of another user with respect to the user U1. By referring to the ActT tag 385 shown in FIG. 8C from the stored tags (ActT1 to ActT3), the corresponding wording 386 can be acquired.
The additional wording 376 defines a word that pays special attention to the mental state of another user with respect to the user U1. By referring to the AddT tag 387 shown in FIG. 8D from the stored tags (AddT1, AddT2), the corresponding wording 389 can be acquired.

  The control program 39 is read and executed by the control unit 50, thereby realizing the functions of the functional units included in the control unit 50. These functional units will be described later in the description of the control unit 50. The control program 39 corresponds to a program.

Returning to FIG.
The control unit 50 includes a processor such as a CPU (Central Processing Unit) and a DSP (Digital Signal Processor), and is a control device and an arithmetic device that collectively control each unit of the terminal device 7. The control unit 50 implements various functions of the terminal device 7 according to various programs (not shown) including the control program 39 stored in the storage unit 30. The control unit 50 corresponds to a computer.
The control unit 50 executes the control program 39 stored in the storage unit 30, and performs functions of the functional units of the mental information processing unit 51, the information collection unit 53, the position information processing unit 55, and the notification information generation unit 60. Realize. However, these functional units are merely examples, and all the functional units are not necessarily required. Note that the method of realizing the functions of the functional units of the mental information processing unit 51, the information collection unit 53, the position information processing unit 55, and the notification information generation unit 60 corresponds to an information processing method.

The mental information processing unit 51 acquires pulse wave information including a pulse wave and a pulse rate from the pulse sensor 11 and body motion information including exercise intensity associated with the body motion from the body motion sensor 13, and sets the mental index X. calculate. The calculated index value of the mental index X is stored in the user information data 33 of the storage unit 30 as the mental index X of the user U1 and transmitted to the server 3 via the communication unit 29. Regarding the calculation of the mental index X, the mental state (state 1 to state 3) described above and the movement state (state 4) are quantified, and are calculated according to Equation 1 or Equation 2.
The mental information processing unit 51 corresponds to an estimation unit.

  The information collection unit 53 establishes communication with the server 3 and collects information on users other than the user U1. Specifically, the server 3 is requested to transmit information related to other users via the communication unit 29. When information about another user is received from the server 3 side, the received information is stored in the user information data 33 (FIG. 6). Information regarding other users includes mental information 335, position information 340, and user information 350 of the user information data 33. In the functional unit that realizes this function, the functional unit that acquires the mental information 335 and user information 350 of other users corresponds to the acquiring unit. In addition, the function unit that acquires the position information 340 of other users corresponds to the second position information acquisition unit.

  Further, the information collecting unit 53 collects personal information of the user U1 by controlling the operation unit 25, the display unit 21, and the like. The collected personal information is stored in the user information data 33 and further transmitted to the server 3 via the communication unit 29. The function unit that collects personal information of the user U1 corresponds to a first user information acquisition unit.

  The position information processing unit 55 acquires position information and positioning time from the positioning sensor 15 and stores them in the user information data 33. Further, the location information and the positioning time of the user U1 are transmitted to the server 3 via the communication unit 29. The position information processing unit 55 corresponds to a first position information detection unit.

The notification information generation unit 60 generates various display screens to be displayed on the display unit 21 and outputs them to the display unit 21. The generated display screen includes a mental information display screen (FIG. 9A), a difference information display screen (FIG. 9B), a user information display screen (FIG. 9C), a map screen (FIG. 10), etc. It is a screen and has a function part which generates each.
The mental information display screen generator 61 generates a mental information display screen. The index value of the mental index X of the user U1 and the mental index X of another user is read from the user information data 33, and a display screen is generated.
The notification information generation unit 60 corresponds to a notification information generation unit.

  The difference information display screen generation unit 63 generates a difference information display screen. The difference between the index value of the mental index X of the user U1 and the index value of the mental index X of another user is calculated. A display screen on which the calculated difference value is arranged is generated.

  The user information display screen generation unit 65 generates a user information display screen. With reference to the compatibility definition table 31 (FIG. 5), the index value group of the other user mental index X313 corresponding to the index value of the mental index X of the user U1 is acquired. Next, a user ID having the acquired index value is searched from the user information data 33 (FIG. 6). A display screen is generated using the contents of the mental information 335 and the user information 350 referred to from the searched user ID 331. When public information is included in the user information data 33, only information that can be disclosed is displayed. Note that the user information display screen generation unit 65 corresponds to including the second user information in the notification information when the difference information is within a predetermined range in the notification information generation unit.

  The map screen generation unit 67 generates a map screen. Specifically, a transmission request for map information around the user U1 is transmitted to the server 3 via the communication unit 29. When the map information is acquired from the server 3, the icons of the user U1 and other users are arranged on the map based on the position information. At this time, only the users existing in the predetermined area are selected and arranged from the position information of the user U1. Further, the compatibility definition table 31 is referred to, a user having a good compatibility with the mental index X of the user U1 is selected, and the display attribute of the user's icon is changed (for example, blinking display). The icon of the user U2 shown in FIG. Next, referring to the word definition table 37, the word corresponding to the arranged user is read and displayed on the screen. Messages MS2 to MS4 shown in FIG. 10 are display examples of words. The map screen generation unit 67 includes the second user information of the second user in the notification information when the second user exists in the predetermined area based on the position information in the notification information generation unit. It corresponds to.

(Configuration of server 3)
The server 3 is a general database server and includes a display unit 71, an operation unit 73, a communication unit 75, a DB 80 (database), a control unit 90, and the like.
The display unit 71 employs a liquid crystal panel as a suitable example. Note that a touch panel may be provided on the display surface. The operation unit 73 is an input device such as a keyboard and a mouse. The communication unit 75 is a wireless communication adapter such as a mobile phone communication or a wireless LAN, and is connected to the communication unit 29 so that various data can be transmitted and received.
The communication unit 75 corresponds to a server communication unit.

The DB 80 includes a user management DB 81, a user information table 83, a map DB 85, and the like. The user management DB 81 manages users wearing the terminal devices 7 and 7A. All users used in the support system 1 are centrally managed by the user ID assigned uniquely by the user management DB 81. In the terminal device 7, the allocated user ID is stored in the user information data 33 as user IDs 331 and 331A.
The user information table 83 stores mental information, position information, and user information of each user for each user ID.

The map DB 85 is a map database in which latitude / longitude information and map information are stored.
The control unit 90 is a CPU and controls each unit constituting the server 3. The control unit 90 includes an information processing unit 91, a DB processing unit 93, and the like.
The information processing unit 91 receives mental information, position information, and user information from the terminal devices 7 and 7A via the communication unit 75. When a transmission request for user information or map information is received from the terminal devices 7 and 7A, response information corresponding to the transmission request is transmitted.

  The DB processing unit 93 performs processing such as writing and reading various data in the DB 80 and searching for user information based on a user ID. The DB processing unit 93 and the DB 80 correspond to a server management unit.

  The terminal device 7A includes a detection unit 10A, a communication unit 29A, a mental information processing unit 51A, a position information processing unit 55A, and the like. These components can realize the same functions as those of the detection unit 10, the communication unit 29, the mental information processing unit 51, and the position information processing unit 55 in the terminal device 7, and the user U2 such as the user U2 is different from the user U1. Mental information, position information, and user information are acquired and transmitted to the server 3. Each unit of the terminal device 7 </ b> A is not limited to this configuration, and may have other components as in the terminal device 7.

  As described above, according to the support system 1 according to the present embodiment, the following effects can be obtained.

  According to the support system 1, the detection unit 10 of the terminal device 7 can always detect biological information and body motion information including the pulse rate and pulse wave of the user U1. The mental information processing unit 51 quantifies the mental state of the user U1 from the detected biological information and body motion information, and calculates a mental index X represented by an integer value of 0 to 10. The information collection unit 53 acquires the mental index X calculated by the same method for other users different from the user U1. The notification information generation unit 60 refers to the compatibility definition table 31 and selects other users having a value of the mental index X that is compatible with the mental index X of the user U1 (highly likely to establish a face-to-face conversation). Select and generate a display screen to inform the user of the information. The user U1 can confirm the display screen generated in this way, know the mental state of other users, and can select a user who is likely to have a face-to-face conversation.

(Embodiment 2)
FIG. 11 is a block diagram illustrating a schematic configuration of the support system according to the second embodiment.
In the embodiment described above, the terminal device 7 (7A) of the support system 1 is configured to include the mental information processing unit 51 (51A). However, the support system 100 includes the mental information processing unit 51 in the server 103. Yes. The support system 100 corresponds to a communication support system together with the support system 1. In the support system 100, a configuration that does not include the terminal device 107A also corresponds to the communication support system.

  The support system 100 includes a terminal device 107, a server 103, a terminal device 107A, and a communication 5. The terminal device 107 includes at least a detection unit 10, a notification unit 20, a communication unit 29, and a notification information generation unit 60 (control unit 50). The server 103 includes at least a mental information processing unit 51 and a communication unit 75. The terminal device 107A includes at least a detection unit 10A and a communication unit 29A. The configuration of the terminal device 107A may be the same as that of the terminal device 107. The terminal device 107 (107A) may be configured to include the positioning sensor 15 and the position information processing unit 55 so as to acquire position information on the terminal device side.

  The terminal device 107 (107A) transmits the biological information including the pulse rate and the pulse wave detected by the detection unit 10 (10A) and the body motion information including the exercise intensity to the server 103. The mental information processing unit 51 of the server 103 calculates the respective mental indices X of the terminal device 107 and the terminal device 107A based on the biological information and body motion information transmitted from the terminal device 107 (107A). The server 103 transmits the calculated mental index X of the terminal device 107 and the terminal device 107A to the terminal device 107 via the communication unit 75. When the terminal device 107 receives the mental index X, the notification information generation unit 60 generates various display screens and outputs them to the notification unit 20. In the alerting | reporting part 20, the display screen shown in FIG. 9 and FIG. 10 is displayed, for example. The terminal device 107 corresponds to a first information processing device, the terminal device 107A corresponds to a second information processing device, and the server 103 corresponds to a server.

As described above, according to the support system 100 according to the present embodiment, in addition to the effects in the first embodiment, the following effects can be obtained.
According to the support system 100, the mental information processing unit 51 is provided in the server 103, whereby the mental information X regarding all users (terminal devices) managed in the server 103 can be calculated and managed. The server 103 can also transmit advice information for supporting a face-to-face conversation to each terminal device by using compatibility information between users (terminal devices). For example, it is possible to give directions for route guidance that guides two terminal devices determined to be compatible users to each other's position.
In this way, there is an effect that it is possible to support positive encounters that create opportunities for face-to-face conversations between users.

(Embodiment 3)
FIG. 12 is a block diagram illustrating a schematic configuration of the support system according to the third embodiment.
In the above-described embodiment, the support system 1 (100) is configured to include the server 3 (103). However, the support system 110 is different in that the server 3 (103) is not included. The support system 110 corresponds to a communication support system together with the support system 1 (100).
The support system 110 includes a terminal device 117, a terminal device 117A, and a communication 5.

The terminal device 117 includes at least a detection unit 10, a notification unit 20, a communication unit 29, a mental information processing unit 51, an information collection unit 53, and a notification information generation unit 60. Each component has the same function as the support system 1. However, the communication unit 29 and the information collection unit 53 of the support system 1 establish communication with the server 3 and receive various types of information from the server 3, whereas the terminal device 117 of the support system 110 according to the present embodiment. Then, communication is established with the terminal device 117A, and various information including the mental index X is received from the terminal device 117A.
The terminal device 117A includes at least a detection unit 10A, a communication unit 29A, a mental information processing unit 51A, and the like. Each component has the same function as the terminal device 7A of the support system 1. However, the communication unit 29A transmits various types of information including the mental index X calculated by the mental information processing unit 51A to the terminal device 117. The terminal device 117A may have the same configuration as the terminal device 117.
The terminal device 117 corresponds to a first information processing device, and the terminal device 117A corresponds to a second information processing device.

As described above, according to the support system 110 according to the present embodiment, in addition to the effects of the above-described embodiment, the following effects can be obtained.
According to the support system 110, there is no need to install a server. According to such a configuration, the user information including the mental index X of another user can be displayed only by attaching the terminal device 117 (117A) to the target user. In addition, since installation of a server and user registration to the server are not required, a system can be constructed at low cost, and system settings can be easily realized.
Further, since it is not necessary to register the user's own personal information or the like in a server or the like that manages the user, the system is suitable for a user who does not want to manage personal information.

  The present invention is not limited to the above-described embodiment, and various changes and improvements can be added to the above-described embodiment. A modification will be described below.

(Modification 1)
FIG. 13 is a block diagram illustrating a schematic configuration of a terminal apparatus according to the first modification.
In the above-described embodiment, the terminal devices 7 (7A), 107 (107A), and 117 (117A) have been described as integrated terminal devices. However, the terminal devices include information devices 127, detection devices 137, and communication 500. It may be configured.
The information device 127 is a general-purpose information processing terminal such as a smart phone, a tablet terminal, an HMD (head mounted display), or a notebook PC (Personal Computer), and includes a notification unit 20, a communication unit 29, and a mental information processing unit 51. , An information collecting unit 53, a notification information generating unit 60, and the like.
The detection device 137 is a small wearable device including the detection unit 10 (including the pulse sensor 11, the body motion sensor 13, and the positioning sensor 15). For example, a finger ring type detection device, a chest belt type detection device, and an arm A band-type detection device, an ear tab-mounted detection device, a clothing-type detection device, or the like may be used.
The communication 500 is short-range wireless communication, for example, and establishes communication between the detection device 137 and the information device 127.
According to the present modification, the detection device 137 with few components can be reduced in size and weight, so that it is possible to detect biological information and body movement information with less burden on the user. In the information device 127, the notification unit 20 can be provided with, for example, a display unit 21 with a high resolution and a large size, so that, for example, a moving image of the target user can be displayed to provide accurate and detailed information. To do.

(Modification 2)
In the embodiment and the modification described above, the calculation formula of the mental index X is described as being calculated using Formula 1 and Formula 2, but the following formula may be used.
X = (aP1 + bP2 + cP3 + 15) ÷ 3 (Formula 3)
However, a, b, and c are real numbers that satisfy the condition of a + b + c = 3.
According to Equation 3, the weights of state 1, state 2, and state 3 can be changed. For example, in the case where the weight is higher in the state 1 than in the state 2 and the state 3, the mental index X is calculated with a = 2, b = 0.5, and c = 0.5.

Further, when the weighting is similarly changed with respect to Expression 2, the following expression may be used.
X = (aP1 + bP2 + cP3 + P4 + 20) ÷ 4 (Formula 4)
However, a, b, and c are real numbers that satisfy the condition of a + b + c = 3.
According to equation 4, weighting of state 1, state 2, and state 3 is performed by equation 3, and state 4 is added at a ratio equal to the sum of states 1 to 3, and mental index X is calculated. Yes.

  In Formula 3 and Formula 4, the mental index X is calculated as an index value in the range of 0 to 10 as in Formulas 1 and 2. In quantification of mental states, states with high importance among states 1 to 3 can be weighted, and by setting a larger value to a variable, a mental index that gives priority to the state with strong influence X can be calculated.

(Modification 3)
In the embodiment and the modification described above, calculation of the mental index X has been described using Expressions 1 to 4. However, the calculation is not limited to these arithmetic expressions. Any arithmetic expression may be used as long as it is an expression calculated using P1 to P4 representing states 1 to 4. For example, an arithmetic expression that multiplies P4 by the sum of P1, P2, and P3 may be used.
Moreover, although the mental index X is an integer value of 0 to 10, it is not limited to an integer value of 0 to 10. Any value may be used as long as the index value of the mental index X can be compared between different users.

(Modification 4)
In the above-described embodiment and modification, the notification information generation unit 60 selects another user to be displayed on the display unit 21 based on the mental index X and the position information, but based on the personal information of the user. The user to be displayed may be selected. For example, you may select only the other user of the sex different from the user U1 using the sex 353 (FIG. 6) in a user's personal information. Alternatively, the hobby 357 (FIG. 6) may be used to select the same hobbies as the user U1 or the hobbies that the user U1 wants to experience and select only other users who have the hobbies.
By including the information of the user selected in this way in the display information, the user U1 can accurately find other users who are interested in the user U1. This modification corresponds to determining whether to include the second user information of the second user in the notification information based on the first user information.

(Modification 5)
In the above-described embodiment and modification, the support system 1 (100, 110) has been described by taking the situation where the user U1 has a face-to-face conversation with another user as an example. The support system 1 (100, 110) It can be used for grouping users. For example, when a group discussion is conducted at a workshop or the like, grouping is performed. When grouping, grouping is performed so that the mental index X varies uniformly from 0 to 10 within the group, thereby suppressing output bias for each group. In addition, for example, when importance is placed on communication within a group, it can be expected that communication within the group becomes active by making users who have similar mental indices X within the group the same group.
Such use can be realized by generating a display screen that displays the result of grouping for each user as a result of grouping by the notification information generating unit 60.

(Modification 6)
In the above-described embodiments and modifications, the user U1 can be used not only for face-to-face conversations with other users but also for encounters in a virtual space on the Internet, chat, and SNS (Social Networking Service).
Description will be made using the information device 127 and the detection device 137 shown in FIG. 13 as examples. When the user U1 is wearing the detection device 137 so as to be able to detect biological information, the user U1 has a mental index X on his / her avatar that exists in the virtual space of the notification unit 20 (display unit 21) of the information device 127. Can be displayed. When another user U2 wears another detection device 137, the notifying unit 20 of the user U1 displays the mental index X of the user U2 on the avatar of the user U2. In the virtual space, the user U1 can confirm in advance whether or not it is possible to chat and communicate with each other by comparing the information of the mental index X of the user U2 with the own mental index X. become.
As described above, even in the virtual space, it is possible to recognize the mental state of another user who is a target person to meet (chat).

  DESCRIPTION OF SYMBOLS 1,100,110 ... Support system, 3,103 ... Server, 5,500 ... Communication, 7, 7A, 107, 107A, 117, 117A ... Terminal device 10, 10A ... Detection part, 11 ... Pulse sensor, 13 ... Body motion sensor, 15 ... positioning sensor, 20 ... notification unit, 21 ... display unit, 23 ... sound output unit, 25 ... operation unit, 27 ... clock unit, 29, 29A ... communication unit, 30 ... storage unit, 31 ... compatibility Definition table, 33 ... user information data, 37 ... word definition table, 39 ... control program, 50 ... control unit, 51, 51A ... mental information processing unit, 53 ... information collection unit, 55, 55A ... position information processing unit, 60 ... Notification information generating unit, 61 ... Mental information display screen generating unit, 63 ... Difference information display screen generating unit, 65 ... User information display screen generating unit, 67 ... Map screen generating unit, 71 ... Display unit, 73 Operation unit, 75 ... Communication unit, 80 ... DB, 81 ... User management DB, 83 ... User information table, 85 ... Map DB, 90 ... Control unit, 91 ... Information processing unit, 93 ... DB processing unit, 127 ... Information equipment DESCRIPTION OF SYMBOLS 137 ... Detection apparatus 211 ... Map 311 ... User mental index X, 313 ... Other user mental index X, 331, 331A ... User ID, 335 ... Mental information, 336 ... Mental index X, 337 ... Acquisition Time, 340 ... Location information, 341 ... Latitude, 343 ... Longitude, 345 ... Acquisition time, 350 ... User information, 351 ... User name, 353 ... Gender, 355 ... Age, 357 ... Hobby, 359 ... Comment, 371 ... User mind Index X, 372 ... user status wording, 373 ... other user mental index X, 374 ... conversation wording, 375 ... action wording, 376 ... additional wording, 381 ... U erT tag, 382 ... wording, 383 ... ConvT tag, 384 ... wording, 385 ... ActT tag, 386 ... wording, 387 ... AddT tag, 389 ... wording.

Claims (18)

A detection unit for detecting biological information of the first user;
An estimation unit that estimates first mental state information based on the biological information of the first user;
An acquisition unit for acquiring second user information including second mental state information derived based on biological information of the second user;
Based on the first mental state information and the second mental state information, a notification information generation unit that generates notification information to notify the first user;
A notification unit for reporting the notification information;
An information processing apparatus comprising:   The information according to claim 1, wherein the notification information generation unit generates the notification information based on difference information regarding a difference between the first mental state information and the second mental state information. Processing equipment.   The information processing apparatus according to claim 2, wherein the notification information generation unit includes the second user information in the notification information when the difference information is within a predetermined range.   The information processing apparatus according to claim 3, wherein the predetermined range is determined according to a state of the first mental state information of the first user. A first position information detector for detecting position information of the first user;
A second position information acquisition unit for acquiring position information of the second user;
Further comprising
The notification information generation unit notifies the second user information of the second user when the second user exists within a predetermined area set based on the position information of the first user. The information processing apparatus according to claim 1, wherein the information processing apparatus is included in information.   The information processing apparatus according to any one of claims 1 to 5, wherein the second user information includes personal information of the second user. A first user information acquisition unit for acquiring first user information including personal information of the first user;
The notification information generating unit determines whether or not to include the second user information of the second user in the notification information based on the first user information. The information processing apparatus according to any one of the above.   The information processing apparatus according to claim 1, wherein the personal information includes at least one of sex, age, and hobbies.   The information processing apparatus according to claim 1, wherein the biological information includes pulse wave information.   The first mental state information and the second mental state information relate to at least one of a relaxed state, an excited state, a tension state, a sleep state, and a fatigue state of the first user and the second user. The information processing apparatus according to claim 1, wherein the information processing apparatus is determined based on information.   11. The first mental state information and the second mental state information are determined based on exercise intensity in body movements of the first user and the second user. The information processing apparatus according to any one of the above.   In the notification information, whether the first user and the second user recommend a conversation between the first user and the second user according to the difference status of the difference information, the first user and the second user act together. The information processing apparatus according to any one of claims 1 to 11, wherein at least any one of the word information is included in whether or not to recommend. A detection unit for detecting biological information of the first user;
An estimation unit that estimates first mental state information based on the biological information of the first user;
An acquisition unit for acquiring second user information including second mental state information derived based on biological information of the second user;
Based on the first mental state information and the second mental state information, a notification information generation unit that generates notification information to notify the first user;
A notification unit for reporting the notification information;
A communication unit for transmitting the first mental state information and receiving the second user information;
An information processing apparatus comprising:
A server communication unit that receives the first mental state information and transmits the second user information;
A server management unit for managing user information related to users including the first user and the second user;
A server comprising:
A communication support system characterized by comprising:   A second information processing apparatus that detects biological information of the second user, estimates the second mental state information based on the biological information of the second user, and transmits the second mental state information to the server The communication support system according to claim 13, further comprising: A detection unit that detects biological information of the first user, a notification unit that notifies notification information to the first user, a communication unit that transmits the biological information of the first user and receives the notification information;
A first information processing apparatus comprising:
Two information processing devices for detecting biological information of the second user and transmitting the biological information of the second user;
Receiving the first user's biometric information and the second user's biometric information, transmitting the notification information to the first user, estimating the mental state information based on the biometric information, An estimation unit that outputs the first mental state information from the biological information of the first user, and outputs the second mental state information from the biological information of the second user, the first mental state information, and the first A notification information generation unit that generates the notification information to be notified to the first user based on two mental state information;
A communication support system characterized by comprising: A detection unit for detecting biological information of the first user; a first estimation unit for estimating first mental state information based on the biological information of the first user; and derived based on biological information of the second user. A receiving unit that receives second mental state information; a notification information generating unit that generates notification information to be notified to the first user based on the first mental state information and the second mental state information; A first information processing apparatus comprising: a notification unit that notifies the notification information;
A second one that detects biological information of the second user, estimates the second mental state information based on the biological information of the second user, and transmits second user information including the second mental state information; An information processing device;
A communication support system characterized by comprising: Detecting the biometric information of the first user,
Estimating first mental state information based on the biological information of the first user;
Obtaining second user information including second mental state information derived based on the biological information of the second user;
Based on the first mental state information and the second mental state information, generating notification information to notify the first user,
An information processing method characterized by notifying the notification information. Detecting the biometric information of the first user,
Estimating first mental state information based on the biological information of the first user;
Obtaining second user information including second mental state information derived based on the biological information of the second user;
Based on the first mental state information and the second mental state information, generating notification information to notify the first user,
Informing the notification information;
A program characterized by causing a computer to execute.

Images