JP7634218B2 - Information provision system - Google Patents

Description

The present disclosure relates to an information providing system.

The personal genome information environment providing device of Patent Document 1 acquires characteristic information about a user's characteristics based on the user's genetic information, habit information, and biosignal information.

Habit information is information based on diet, sleep, exercise, diary, behavioral records, and/or behavioral characteristic questionnaires (behavioral characteristics) (e.g., information on behaviors that are repeated or repeated on a daily basis, etc.).

Biological signal information is information based on biological signals that can be displayed numerically, such as blood pressure, brain waves, heart rate, pulse, sleep waveforms, blood glucose levels, blood measurements, weight, and/or amount of exercise.

The characteristic information is genetic disease risk prediction information, drug efficacy prediction information, and/or personality prediction information, for example, information regarding the characteristics of individual users.

International Publication No. 2013/141386

The technology of the above-mentioned Patent Document 1 estimates the personal characteristics of a target person (such as the user's characteristics) based on the target person's genetic information (such as the user's genetic information), behavioral information (such as habit information), and biometric information (such as biosignal information).

However, there is a demand for further improvement in the accuracy of estimating personal characteristics compared to conventional techniques such as those described in Patent Document 1.

An object of the present disclosure is to provide an information providing system capable of accurately estimating personal characteristics of a target person.

An information providing system according to one aspect of the present disclosure includes a personal characteristic estimation device and an information providing device that provides information to a target person. The personal characteristic estimation device includes a genetic information acquisition unit, an environmental information acquisition unit, and a personal characteristic estimation unit. The genetic information acquisition unit acquires genetic information of the target person. The environmental information acquisition unit acquires a history of environmental information using an environmental detection unit. The environmental detection unit detects the environmental information related to the living environment of the target person. The personal characteristic estimation unit estimates personal characteristics of the target person based on the genetic information and the history of the environmental information. The personal characteristics include preferences of the target person. The information providing device provides information based on the preferences as the information.

As described above, the present disclosure has the effect of enabling accurate estimation of personal characteristics of a target person.

FIG. 1 is a block diagram showing a personal characteristic estimation system according to an embodiment. FIG. 2 is a diagram for explaining an estimation process of an individual characteristic estimation model by an individual characteristic estimation device included in the individual characteristic estimation system. FIG. 3 is a block diagram showing a spatial environment control system including the personal characteristic estimation device. FIG. 4 is a diagram for explaining the emotion estimation process in the spatial environment control system. FIG. 5 is a diagram showing emotion transition caused by the spatial environment control system. FIG. 6 is a block diagram showing an information providing system including the above personal characteristic estimation device.

The following embodiments generally relate to a personal characteristic estimation device, a personal characteristic estimation system, a spatial environment control system, an information provision system, a personal characteristic estimation method, and a program. More specifically, the following embodiments relate to a personal characteristic estimation device, a personal characteristic estimation system, a spatial environment control system, an information provision system, a personal characteristic estimation method, and a program that estimate the personal characteristics of a target person. Note that the embodiment described below is merely an example of an embodiment of the present disclosure. The present disclosure is not limited to the following embodiments, and various modifications are possible depending on the design, etc., as long as the effects of the present disclosure can be achieved.

(1) Overview of the Personal Characteristics Estimation System The personal characteristics estimation system 1 shown in FIG. 1 includes a personal characteristics estimation device 2 and an environment detection unit 31.

The environment detection unit 31 detects environmental information related to the living environment of the target person H1.

The personal characteristic estimation device 2 includes a genetic information acquisition unit 2a, an environmental information acquisition unit 2b, and a personal characteristic estimation unit 2e. The genetic information acquisition unit 2a acquires genetic information of the target person H1. The environmental information acquisition unit 2b acquires a history of environmental information detected by the environment detection unit 31. The personal characteristic estimation unit 2e estimates the personal characteristics of the target person H1 based on the genetic information and the history of environmental information. Note that the personal characteristics are individuality or individual differences of a person, and are preferably at least one of a person's personality, preferences, response to stimuli, suitability for medicine, and lifestyle risks.

The personal characteristic estimation device 2 acquires genetic information and a history of environmental information of the target person H1, and estimates the personal characteristics of the target person H1 based on both the traits determined by the genes of the target person H1 and the living environment in which the target person H1 was born and raised. As a result, the personal characteristic estimation system 1 and the personal characteristic estimation device 2 can accurately estimate the personal characteristics of the target person H1.

Furthermore, it is preferable that the personal characteristic estimation system 1 further includes at least one of a behavior detection unit 32 and a liveness detection unit 33. When the personal characteristic estimation system 1 includes the behavior detection unit 32, the personal characteristic estimation device 2 includes a behavior information acquisition unit 2c that acquires a history of behavioral information related to the behavior of the target person H1. When the personal characteristic estimation system 1 includes the liveness detection unit 33, the personal characteristic estimation device 2 includes a liveness information acquisition unit 2d that acquires a history of liveness information of the target person H1. Then, the personal characteristic estimation unit 2e estimates the personal characteristics by further using at least one of the behavioral information history and the liveness information history in addition to the genetic information and environmental information history. In this case, the personal characteristic estimation system 1 and the personal characteristic estimation device 2 can estimate the personal characteristics of the target person H1 with even greater accuracy.

1 shows an example of a specific configuration of the personal characteristic estimation system 1, which includes a server device SB1, an environment detection unit 31, a behavior detection unit 32, a liveness detection unit 33, and a database 4. The server device SB1, the environment detection unit 31, the behavior detection unit 32, the liveness detection unit 33, and the database 4 are connected to a network NT1 including the Internet or the like, and are configured to enable communication via the network NT1.

The server device SB1 includes a personal characteristic estimation device 2 that can be connected to the network NT1. In this embodiment, the server device SB1 includes a computer, and the computer executes a program to realize at least some of the functions of the personal characteristic estimation device 2. The computer includes a processor that operates according to a program as a main hardware configuration. The type of processor is not important as long as it can realize the function by executing the program. The processor is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or an LSI (large scale integration). Here, it is called an IC or an LSI, but the name changes depending on the degree of integration, and it may be called a system LSI, VLSI (very large scale integration), or ULSI (ultra large scale integration). A field programmable gate array (FPGA) that is programmed after the manufacture of the LSI, or a reconfigurable logic device that can reconfigure the connection relationship inside the LSI or set up the circuit partition inside the LSI, can also be used for the same purpose. Multiple electronic circuits may be integrated into one chip or provided on multiple chips. The program is recorded on a non-transitory recording medium such as a computer-readable ROM, an optical disk, or a hard disk drive. The program may be stored in the non-transitory recording medium in advance, or may be supplied to the non-transitory recording medium via a wide area communication network including the Internet.

The environment detection unit 31, the behavior detection unit 32, and the living body detection unit 33 are each composed of a standalone sensor circuit, an information terminal that executes an application (such as a smartphone, a tablet terminal, or a personal computer), a sensor circuit built into the information terminal, a HEMS (Home Energy Management System) controller, an equipment controller, and an electrical device. In addition, one sensor may function as at least two of the environment detection unit 31, the behavior detection unit 32, and the living body detection unit 33.

(2.1) Environment detection unit If the environment in which the target person H1 lives and the environment in which he/she was born and raised are defined as the living environment, the environment detection unit 31 detects information related to the living environment as environmental information. The environment detection unit 31 is connected to the network NT1 and is configured to be able to communicate with the database 4, and transmits the environmental information to the database 4.

The living environment includes, for example, the light environment, sound environment, air environment, taste environment, the health condition of the target person H1, events that have occurred to the target person H1, and dates and times. Such a living environment includes the environment related to the stimuli (sensory stimuli) of the target person H1's sight, hearing, touch, taste, and smell. The five-sensory stimuli given to the target person H1 can be detected by electrical equipment that gives the five-sensory stimuli to the target person H1, such as lighting fixtures, air conditioners, and video equipment, controllers of the electrical equipment, and various sensors. The five-sensory stimuli given to the target person H1 can also be detected using data on the power supplied to the electrical equipment.

Specifically, the light environment includes illuminance, light color, brightness of the light source, and the video being viewed by the target person H1. The light environment can also be said to be information about the visual stimuli that the target person H1 receives in his or her daily life. The environment detection unit 31 that detects such a light environment includes an illuminance sensor, a controller that manages and controls the lighting fixtures, and an information terminal that executes a viewing management application that manages the viewing history of videos. The environment detection unit 31 may be configured to automatically detect the light environment, or may be configured to detect the light environment by manual input by the target person H1.

The sound environment includes music, environmental sounds, and noises. The sound environment can also be said to be information about auditory stimuli that the target person H1 receives in his or her daily life. The environment detection unit 31 that detects such a sound environment includes an information terminal that executes a sound management application that manages music listening history, and an environmental sound and noise recognition device. The environment detection unit 31 that detects the sound environment may be configured to automatically detect the sound environment, or may be configured to detect the sound environment by manual input by the target person H1.

The air environment includes temperature, humidity, and scent. The air environment can also be said to be information related to temperature stimuli, humidity stimuli, and olfactory stimuli that the target person H1 receives in his/her daily life. The environment detection unit 31 that detects such an air environment includes a temperature sensor, a humidity sensor, and an odor sensor. The environment detection unit 31 that detects the air environment may be configured to automatically detect the air environment, or may be configured to detect the air environment by manual input by the target person H1.

The gustatory environment includes the contents of meals, the amount of salt and sweeteners contained in the meals, etc. The gustatory environment can also be said to be information about the gustatory stimuli that the target person H1 is exposed to in the course of his or her life. The environment detection unit 31 that detects such a gustatory environment includes an information terminal that executes a dietary management application that manages and records meals. The environment detection unit 31 that detects the gustatory environment may be configured to automatically detect the gustatory environment, or may be configured to detect the gustatory environment through manual input by the target person H1.

The health condition includes the results of a health checkup and a history of health insurance usage. The environment detection unit 31 that detects such a health condition includes an information terminal that executes a health management application that manages the health of the target person H1. The environment detection unit 31 that detects the health condition may be configured to automatically detect the health condition, or may be configured to detect the health condition through manual input by the target person H1.

Events that occur to the target person H1 include weather, disasters, anniversaries, etc. The environment detection unit 31 that detects such health conditions includes an information terminal that acquires weather forecast information, a fire detector, a seismometer, and an information terminal that executes a schedule management application that manages the schedule of the target person H1. The environment detection unit 31 that detects events may be configured to automatically detect events, or may be configured to detect events by manual input by the target person H1.

The date and time are the month, date, day of the week, time, etc. that correspond to the light environment, sound environment, air environment, taste environment, and the health condition of the target person H1. The environment detection unit 31 that detects such dates and times includes a timer device, a calendar device, etc.

Furthermore, the longer the detection period of the environmental information (historical period of the environmental information), the higher the accuracy of the estimation of the personal characteristics of the target person H1 by the personal characteristic estimation unit 2e. However, it is difficult to automatically detect all environmental information from the birth of the target person H1 to the present. Therefore, the target person H1 may answer a questionnaire or questions about the environmental information (such as the layout of the house he lived in and whether he smoked or not) displayed on the screen of the information terminal. In this case, the information terminal becomes the environment detection unit 31, and the answers of the target person H1 become the environmental information. For example, if environmental information for the period when the target person H1 was 18 years old or older has been detected, the target person H1 is made to answer environmental information for the period when he was under 18 years old.

(2.2) Behavior Detection Unit The behavior detection unit 32 detects information related to the behavior of the target person H1 as behavior information. The behavior detection unit 32 is connected to the network NT1 and configured to be able to communicate with the database 4, and transmits the behavior information to the database 4. Note that the behavior also includes the habits of the target person H1.

Examples of the behavior of the target person H1 include the following behaviors. Note that the behaviors listed below are only a portion of the behaviors detected by the behavior detection unit 32.
・Cook dinner in the kitchen.
・Watch movies on TV.
・Play soccer on the school grounds.
・Commute by train.
・Listen to music on your smartphone.

The behavior detection unit 32 that detects such behavior includes a camera, a position sensor, an acceleration sensor, an electrical appliance, a power meter, and an information terminal that runs a schedule management application for the target person H1.

The camera captures the target person H1 at home, work, etc., and the motion of the target person H1 can be detected. The position sensor detects the position of the target person H1 using a global positioning system (GPS), and the movement route of the target person H1 can be detected. The acceleration sensor measures the acceleration due to the movement of each part of the target person H1, such as the arms, legs, and head, and the like, and the amount of movement of the target person H1 can be detected. Electric appliances such as air conditioners, lighting equipment, washing machines, refrigerators, audio equipment, and video playback devices can detect the operation of the target person H1. A power meter such as a smart meter measures the amount of power consumption, and the behavior of the target person H1 can be detected. In addition, the operation of the electrical appliance (opening and closing the refrigerator, etc.) by the target person H1 can be detected by analyzing the current waveform. In addition, the behavior of the target person H1 can be detected from the schedule management application of the target person H1.

In addition, the target person H1 may answer a questionnaire or questions about behavior that are displayed on the screen of the information terminal. In this case, the information terminal becomes the behavior detection unit 32, and the target person H1's answer becomes behavior information.

(2.3) Biometric Detection Unit The biometric detection unit 33 detects biometric information of the target person H1. The biometric detection unit 33 is connected to the network NT1 and is configured to be able to communicate with the database 4, and transmits the biometric information to the database 4.

The biometric information of the target person H1 includes information such as the target person H1's facial expression, voice quality, heart rate, blood pressure, blood vessel diameter, respiration, pupil diameter, blood glucose level, brain waves, cerebral blood flow, and body temperature.

The biological detection unit 33 includes a camera, a microphone, a blood pressure monitor, a thermometer, a CT (Computed Tomography) scanner, an MRI (Magnetic Resonance Imaging) device, an electroencephalograph, and a radio wave sensor.

The target person H1 may also answer a questionnaire or questions about his/her physical and psychological state displayed on the screen of the information terminal. In this case, the information terminal becomes the biometric detection unit 33, and the target person H1's answer becomes biometric information. When the target person H1 answers about his/her psychological state, for example, emotion evaluation using an Affect Grid is used, in which the target person H1 is prompted to answer the location of the emotion that corresponds to him/herself within a 9-row, 9-column grid.

(2.4) Database The database 4 is connected to the network NT1 and is configured to be able to communicate with the individual characteristic estimation device 2, the environment detection unit 31, the behavior detection unit 32, and the vital sign detection unit 33.

The database 4 receives environmental information from the environment detection unit 31, behavioral information from the behavior detection unit 32, and biometric information from the biometric detection unit 33, and stores the histories of the environmental information, behavioral information, and biometric information. In other words, the database 4 functions as a history storage unit that stores the histories of the environmental information, behavioral information, and biometric information (see Table 1).

In addition to the environmental information history, behavioral information history, and biometric information history, database 4 also stores genetic information of subject H1. The genetic information is genomic information of subject H1, and includes information on DNA (Deoxyribo Nucleic Acid) base sequences, RNA (Ribo Nucleic Acid) base sequences, and genetic polymorphisms. Genetic polymorphism information includes, for example, SNPs (Single Nucleotide Polymorphisms) in DNA sequences, and it is known that SNPs affect physical constitution and susceptibility to disease.

When the target person H1 uploads his/her genetic information to the database 4 using an information terminal or the like, the database 4 can store the genetic information. It is preferable that the genetic information is encrypted when uploaded, and the database 4 stores the encrypted genetic information. When the personal characteristic estimation device 2 receives the encrypted genetic information, it performs a decryption process on the received genetic information and uses the decrypted genetic information.

Database 4 stores the environmental information, behavioral information, and biometric information histories of many people, including target person H1, as well as genetic information, in association with the identification information of each of the many people. In other words, database 4 is a database used to provide services to many people using the environmental information, behavioral information, and biometric information histories, as well as genetic information.

(2.5) Personal characteristic estimation device The personal characteristic estimation device 2 is connected to the network NT1 and configured to be able to communicate with the database 4. The personal characteristic estimation device 2 includes a genetic information acquisition unit 2a, an environmental information acquisition unit 2b, a behavioral information acquisition unit 2c, a biological information acquisition unit 2d, and a personal characteristic estimation unit 2e.

The genetic information acquisition unit 2a acquires genetic information of the target person H1 from the database 4. The environmental information acquisition unit 2b acquires the history of environmental information of the target person H1 from the database 4. The behavioral information acquisition unit 2c acquires the history of behavioral information of the target person H1 from the database 4. The biometric information acquisition unit 2d acquires the history of biometric information of the target person H1 from the database 4.

The personal characteristic estimation unit 2e estimates the personal characteristics of the target person H1 using genetic information, environmental information history, behavioral information history, and biometric information history. The personal characteristics of the target person H1 include at least one of the target person H1's personality, preferences, response to stimuli, suitability for medicine, and lifestyle risks. It is known that such personal characteristics of the target person H1 are formed by the innate traits that the target person H1 has acquired through genetic information and the traits that the target person H1 has acquired through his/her acquired living environment.

The individual characteristic estimation unit 2e estimates the individual characteristics of the target person H1 based on at least the genetic information and the history of the environmental information. In this embodiment, the individual characteristic estimation unit 2e estimates the individual characteristics of the target person H1 based on the genetic information, the history of the environmental information, the history of the behavioral information, and the history of the biological information. The individual characteristic estimation unit 2e stores the estimation result of the individual characteristics of the target person H1 in the database 4 as the individual characteristic estimation model M1 of the target person H1. That is, as shown in FIG. 2, the individual characteristic estimation model M1 is estimated based on the genetic information, the history of the environmental information, the history of the behavioral information, and the history of the biological information. As a result, the individual characteristic estimation model M1 reflects at least both the traits determined by the genes of the target person H1 and the living environment in which the target person H1 was born and raised, and the individual characteristics of the target person H1 are accurately estimated.

When estimating personality as a personal characteristic of the target person H1, the personal characteristic estimation unit 2e analyzes the personality of the target person H1, for example, the degree of each of the characteristics such as agreeableness, extroversion, openness, neuroticism, and conscientiousness.

When estimating preferences as personal characteristics of the target person H1, the personal characteristic estimation unit 2e estimates the target person H1's food preferences, the configuration of the space that he or she finds comfortable, and clothing preferences, etc.

When estimating the response to stimuli as a personal characteristic of the target person H1, the personal characteristic estimation unit 2e estimates the psychological state of the target person H1 when receiving each of the stimuli of sight, hearing, touch, taste, and smell (stimuli of the five senses).

When estimating suitability for a drug as a personal characteristic of the target person H1, the personal characteristic estimation unit 2e estimates which drug is appropriate for a specific medical condition of the target person H1.

When estimating lifestyle risks as personal characteristics of the target person H1, the personal characteristic estimation unit 2e estimates the possibility that the target person H1 will become ill, be involved in an accident, etc.

(3) Spatial Environment Control System FIG. 3 shows a spatial environment control system 9A including, in addition to the above-described personal characteristic estimation device 2, a feeling estimation unit 5, a space controller 6A, and an environment adjustment device 7A.

(3.1) Emotion Deducing Unit The emotion deduction unit 5 of the present embodiment is provided in the server device SB1 and configured to be connectable to the network NT1. Then, at least a part of the functions of the emotion deduction unit 5 is realized by the computer of the server device SB1 executing a program.

The emotion estimation unit 5 estimates the emotion of the target person H1 as an estimated emotion. For example, the estimated emotions include "calm/relaxed," "easy/casual," "exhilarated/refreshed," "tense/enthusiastic/interested," "motivated/positive," and "confident."

(3.1.1) First Emotion Estimation Example The emotion estimation unit 5 estimates the emotion of the target person H1 as an estimated emotion based on the personal characteristics and current biometric information. Specifically, the emotion estimation unit 5 acquires a personal characteristic estimation model M1 of the target person H1 from the database 4, and further acquires the current biometric information of the target person H1 from the biometric detection unit 33. Then, the emotion estimation unit 5 estimates the emotion of the target person H1 by referring to the personal characteristics of the target person H1 in addition to the current biometric information of the target person H1. For example, the emotion estimation unit 5 creates an algorithm as a learning model by machine learning such as deep learning, which estimates the emotion of the target person H1 by inputting the biometric information and personal characteristics of the target person H1. Then, the emotion estimation unit 5 estimates the emotion of the target person H1 using the learning model created by machine learning. For example, if the heart rate of the target person H1 is about 90 BPM (Beats Per Minute) and the facial expression is tense, the emotion estimation unit 5 estimates "anger" as the estimated emotion.

As a conventional estimation method for estimating current emotions using biological information, a method using Russell's circular ring model consisting of two axes, comfort and arousal, is well known. In addition, a method for evaluating a person's comfort using a user comfort evaluation model is also known. In this method, the physiological response of a person who receives a reference stimulus is measured as a reference stimulus user physiological response value, and a user comfort evaluation model specific to the person that represents the relationship between the physiological response and the psychological state is created based on this reference stimulus user physiological response value and an attribute-specific standard psychological state corresponding to the person's attributes. Even when using such a conventional estimation method, the emotion estimation unit 5 estimates the emotion of the target person H1 by further referring to the personal characteristics of the target person H1.

(3.1.2) Second Emotion Estimation Example The emotion estimation unit 5 may estimate the emotion of the target person H1 as an estimated emotion based on the personal characteristics and current environmental information. Specifically, the emotion estimation unit 5 acquires a personal characteristic estimation model M1 of the target person H1 from the database 4, and further acquires current environmental information of the target person H1 from the environment detection unit 31. Then, the emotion estimation unit 5 estimates the emotion of the target person H1 by referring to the personal characteristics of the target person H1 in addition to the current environmental information of the target person H1.

For example, the discomfort index felt by the target person H1 can be found using temperature and humidity. It is generally said that people feel comfortable when the discomfort index is around 65 to 70. The emotion estimation unit 5 can accurately estimate the pleasant/unpleasant feelings of the target person H1 by using the personal characteristic estimation model M1 of the target person H1 together with environmental information such as temperature and humidity. For example, if the personal characteristic estimation model M1 contains information that the target person H1 was born and raised in a warm environment, the emotion estimation unit 5 estimates that the target person H1 has a strong tendency to be extremely sensitive to the cold, and therefore will generally feel comfortable with a discomfort index of around 75 to 80, which is considered to be somewhat hot and uncomfortable (estimated emotion).

(3.1.3) Third Emotion Estimation Example The emotion estimation unit 5 may estimate the emotion of the target person H1 as an estimated emotion based on the personal characteristics, current biometric information, and current environmental information. Specifically, the emotion estimation unit 5 acquires a personal characteristic estimation model M1 of the target person H1 from the database 4, acquires current environmental information of the target person H1 from the environment detection unit 31, and further acquires current biometric information of the target person H1 from the biometric detection unit 33. Then, the emotion estimation unit 5 estimates the emotion of the target person H1 as an estimated emotion by referring to the personal characteristics of the target person H1 in addition to the current environmental information and current biometric information of the target person H1.

(3.2) Environmental Adjustment Device The environmental adjustment device 7A adjusts the spatial environment of the space R1 (see FIG. 3) in which the target person H1 exists. The space R1 is the home or workplace of the target person H1. The spatial environment is, for example, the light environment, sound environment, air environment, etc. of the space R1.

The space controller 6A is provided in the server device SB1 and is configured to be connectable to the network NT1. Then, at least a portion of the functions of the space controller 6A are realized by the computer of the server device SB1 executing a program. Then, the space controller 6A controls the environmental adjustment device 7A based on the estimated emotion of the target person H1, and the environmental adjustment device 7A adjusts the spatial environment. In other words, the environmental adjustment device 7A can adjust the spatial environment based on the estimated emotion of the target person H1.

For example, suppose that target person H1 is half Western and half Japanese. Target person H1's genetic information (traits determined by genes) includes information such as having few pigments and blue eyes. The history of environmental information (the living environment in which target person H1 was born and raised) includes the fact that he grew up in a Western-style home with low illuminance and a lot of indirect lighting with a low color temperature. The history of behavioral information includes the fact that he currently lives in an ordinary Japanese home. The history of biological information includes the fact that his level of alertness increases excessively when exposed to direct lighting with high illuminance and high color temperature.

The personal characteristic estimation model M1 created by the personal characteristic estimation unit 2e as an estimation result of the personal characteristics of the target person H1 is generated based on the above-mentioned genetic information, environmental information history, behavioral information history, and biometric information history, and reflects the above-mentioned genetic information, environmental information history, behavioral information history, and biometric information history. Therefore, when the emotion estimation unit 5 estimates the emotion of the target person H1 based on the personal characteristic estimation model M1 and at least one of the current biometric information and the current environmental information, the estimated emotion reflects the personal characteristics of the target person H1 in addition to at least one of the current biometric information and the current environmental information.

Specifically, the target person H1 is assumed to be sensitive to glare because he has light pigmentation and was born and raised in a dark environment. Here, it is assumed that the emotion estimation unit 5 estimates that the emotion (estimated emotion) of the target person H1 in the living room is "discomfort" or "tension" caused by glare. In order to eliminate the emotion of "discomfort" or "tension" felt by the target person H1 due to glare, the space controller 6A controls the environmental adjustment device 7A to change the illumination light emitted by the distributed lighting in the living room (a configuration in which light sources are arranged in multiple places in the space R1) to low illuminance and low color temperature. As a result, the environmental adjustment device 7A can provide a spatial environment in which the target person H1 can relax as if he were at home.

In other words, by adjusting the spatial environment based on such estimated emotions, the environmental adjustment device 7A can provide a spatial environment that is favorable for the target person H1, taking into consideration both the traits determined by the target person H1's genes and the living environment in which the target person H1 was born and raised.

Furthermore, it is preferable that the space controller 6A controls the environment adjustment device 7A so that the emotion of the target person H1 changes from the estimated emotion to the target emotion. In other words, the environment adjustment device 7A adjusts the space environment so that the emotion of the target person H1 changes from the estimated emotion to the target emotion.

For example, as shown in FIG. 4, the space controller 6A estimates the current emotion of the target person H1 as an estimated emotion E1 based on the personal characteristic estimation model M1, the current environmental information, and the current biometric information. Furthermore, the space controller 6A estimates the emotion preferred by the target person H1 as a target emotion E2 based on the personal characteristic estimation model M1, the current environmental information, and the current biometric information. Then, as shown in FIG. 5, the space controller 6A controls the environment adjustment device 7A so that the emotion of the target person H1 changes from the estimated emotion E1 to the target emotion E2.

(3.2.1) First Example of Setting Target Emotion The target person H1 has a hobby of running, but is genetically predisposed to have a high heart rate. In this case, the target person H1 has a habit of maintaining a heart rate of about 120 BPM while running for 60 minutes, and then staying in a relaxed environment to lower the heart rate, and information about the running of this target person H1 is included in the individual characteristic estimation model M1. Based on the biometric information from the biometric detection unit 33, the space controller 6A determines that the target person H1 has been running if the heart rate is maintained at about 120 BPM for 60 minutes. At this time, the space controller 6A sets the estimated emotion E1 of the target person H1 to "awakening". Then, the space controller 6A determines that the target person H1 has a habit of wanting to lower his heart rate after running, and sets the target emotion E2 of the target person H1 to "relaxed".

The database 4 also stores personal characteristic estimation models for people other than the target person H1 (other target people). Thus, the space controller 6A assumes that another target person, who is genetically prone to have an increased heart rate, lowers his/her heart rate after a similar run. In this case, it may determine that the target person H1 also wants to lower his/her heart rate after running, and set the target emotion E2 of the target person H1 to "Relax."

In addition, the target person H1 or the administrator may access the space controller 6A via the network NT1 and set the target emotion E2 of the target person H1 after running to "relaxed."

(3.2.2) Second Example of Setting Target Emotion Assume that target person H1 frequently watches movies and frequently feels relaxed while watching movies. Movie viewing information for this target person H1 is included in the individual characteristic estimation model M1. The space controller 6A determines from the individual characteristic estimation model M1 that target person H1 tends to feel relaxed while watching movies, and sets the target emotion E2 to "relaxed" while watching movies.

The database 4 also stores personal characteristic estimation models for people other than the target person H1 (other target people). Therefore, if the space controller 6A determines that the other target people tend to feel relaxed while watching a movie, it also sets the target emotion E2 of the target person H1 to "relaxed."

In addition, the target person H1 or the administrator may access the space controller 6A via the network NT1 and set the target emotion E2 of the target person H1 while watching a movie to "Relaxed."

(3.2.3) Relationship between environment and emotions The environmental adjustment device 7A is equipped with lighting equipment, air conditioning equipment, video equipment, information terminals, etc., in order to adjust the spatial environment of the space R1, such as the light environment, sound environment, air environment, and taste environment, and stimulates the five senses of the target person H1 in the space R1. The space controller 6A controls the environmental adjustment device 7A so that the emotion of the target person H1 changes to the target emotion E2, thereby changing the spatial environment as follows.

When the environmental adjustment device 7A wishes to change the emotion of the target person H1 to "calm,""relaxed,""easy,""casual,""refreshed," or "refreshed," it provides at least one of the following visual, tactile, auditory, gustatory, and olfactory stimuli.
-Visual stimuli: low-intensity and low-color-temperature lighting, images of nature, images of smiling faces, etc.
-Tactile stimulation: massage stimulation, warm heat stimulation, cool heat stimulation, etc.
-Auditory stimuli: birdsong, babbling water, laughter, etc.
- Taste stimulation: Providing meals that contain sweet flavors, etc.
- Olfactory stimulation: citrus scent, etc.

In addition, when the environmental adjustment device 7A wishes to change the emotion of the target person H1 to "tension,""enthusiasm," or "interest," it provides at least one of the following visual stimuli, tactile stimuli, auditory stimuli, gustatory stimuli, and olfactory stimuli.
-Visual stimuli: horror images, high intensity and high color temperature lighting, images of nature, images of smiling faces, etc.
-Tactile stimulation: strong massage stimulation, hot heat stimulation, cold heat stimulation, etc.
・Auditory stimuli: horror music, etc.
-Taste stimulation: Providing food that contains bitter tastes, etc.
- Olfactory stimuli: such as the smell of the workplace.

Furthermore, when it is desired to change the emotion of the target person H1 to "motivation,""positive," or "confidence," the environment adjustment device 7A provides at least one of the following visual, tactile, and auditory stimuli.
・Visual stimuli: videos of successful experiences, images of being praised, etc.
・Tactile stimulation: tapping on the shoulder, etc.
-Auditory stimuli: applause, laughter, etc.

(4) Information Providing System FIG. 6 shows an information providing system 9B including, in addition to the above-described individual characteristic estimation device 2, a feeling estimation unit 5, an information controller 6B, and an information providing device 7B.

The information controller 6B is provided in the server device SB1 and is configured to be connectable to the network NT1. At least some of the functions of the information controller 6B are realized by the computer of the server device SB1 executing a program. The information controller 6B then transmits recommended information based on the individual characteristic estimation model M1 of the target person H1 to the information providing device 7B.

The information providing device 7B is an information terminal having a screen, such as a smartphone, a tablet terminal, or a personal computer, and displays the recommended information received from the information controller 6B on the screen, or outputs the recommended information by voice. In other words, the information providing device 7B notifies the target person H1 of the recommended information based on the individual characteristic estimation model M1 of the target person H1.

By notifying the target person H1 of recommended information based on the personal characteristic estimation model M1, the information providing device 7B can provide information that is favorable to the target person H1, taking into consideration both the traits determined by the genes of the target person H1 and the living environment in which the target person H1 was born and raised.

(4.1) Providing Information on Products and Services The personal characteristic estimation model M1 includes the preferences of the target person H1 as personal characteristics. The information providing system 9B provides, as recommendation information, information on products and services based on the preferences of the target person H1.

For example, suppose that target person H1 is an online shopper. The genetic information of target person H1 includes that he is highly active at night. The environmental information history includes that the lights are turned off late and that the five senses are stimulated until late at night. The behavioral information history includes that he has difficulty falling asleep even if he goes to bed early at night. The biometric information history (or the estimated emotion of emotion estimation unit 5) includes that he becomes irritated after going to the bedroom.

In this case, target person H1 has genetic difficulty falling asleep early, and target person H1 has a preference for "sleep." Therefore, information controller 6B presumes that there are products and services to promote sleep. Information controller 6B causes information providing device 7B to notify target person H1 of information on products and services (tools, clothing, lessons, etc.) related to hobbies that are effective for sleep, such as aromatherapy or yoga, which can be done during the sleepless hours at night. As a result, information providing device 7B can provide information on products and services that suit target person H1's preferences.

(4.2) Providing Information About Insurance The individual characteristic estimation model M1 includes the life risks of the target person H1 as personal characteristics. Therefore, the information providing system 9B provides, as recommended information, information about insurance based on the life risks of the target person H1.

For example, suppose that subject H1 is a person who wishes to apply for life insurance. The genetic information of subject H1 includes that he is prone to depression. The environmental information history includes that he is exposed to sunlight during the day and lives a regular lifestyle. The behavioral information history includes that he often spends most of the day playing soccer on the field. The biological history information history includes that he is active during the day.

In this case, the target person H1 has a high genetic risk of developing a mental illness, but the risk is considered to be low due to his/her regular lifestyle. Therefore, the information controller 6B causes the information providing device 7B to notify the target person H1 of information on life insurance that can be contracted with low premiums. As a result, the information providing device 7B can provide information on insurance that is suitable for the target person H1.

(4.3) Providing Information on Drugs The personal characteristic estimation model M1 includes the target person H1's suitability for drugs as a personal characteristic. Therefore, the information providing system 9B provides, as recommendation information, information on drugs based on the target person H1's suitability for drugs.

The information provision system 9B can provide information about medications as recommended information.

For example, suppose that target person H1 is a person who is on the verge of becoming depressed. The genetic information of target person H1 includes that he or she is prone to depression. The environmental information history includes that he or she often stays in a space with high illumination until late at night. The behavioral information history includes that he or she goes to bed late and is at his or her place of employment during the day. The biometric history information history (or the estimated emotion of emotion estimation unit 5) includes that he or she feels irritated before going to bed.

In this case, it is assumed that the reason why the target person H1 is becoming depressed is that he is unable to adapt to the lifestyle rhythm of his workplace and has difficulty falling asleep when going to bed. Therefore, the information controller 6B recommends the use of a sleep-inducing drug instead of an anti-anxiety drug or an antidepressant, and has the information providing device 7B notify the target person H1 to go to bed early. As a result, the information providing device 7B can provide information on medication suitable for the target person H1.

(5) Modifications The personal characteristic estimation device 2 may include at least the environmental information acquisition unit 2b among the environmental information acquisition unit 2b, the behavioral information acquisition unit 2c, and the biological information acquisition unit 2d. In other words, the personal characteristic estimation unit 2e may estimate the personal characteristics of the target person H1 based on at least the genetic information and the history of the environmental information.

In the above embodiment, the personal characteristic estimation device 2 and the emotion estimation unit 5 are provided in the server device SB1, but at least one of the personal characteristic estimation device 2 and the emotion estimation unit 5 may be installed in the home or workplace of the target person H1.

In the above embodiment, the space controller 6A and the information controller 6B are provided in the server device SB1, but at least one of the space controller 6A and the information controller 6B may be installed in the home or workplace of the target person H1, etc.

The database 4 may be provided in the server device SB1. Furthermore, the personal characteristic estimation model M1 may be stored in at least one memory of the personal characteristic estimation device 2, the emotion estimation unit 5, the space controller 6A, and the information controller 6B, rather than in the database 4. That is, each of the personal characteristic estimation device 2, the emotion estimation unit 5, the space controller 6A, and the information controller 6B may acquire the personal characteristic estimation model M1 from an external storage device such as the database 4, or may acquire it from its own memory.

The genetic information acquisition unit 2a may acquire genetic information in any of the following ways: directly uploaded from the target person H1, acquired from an external storage device, or acquired from the memory of the personal characteristic estimation device 2.

The environmental information acquisition unit 2b may acquire the environmental information history directly from the environmental detection unit 31, from an external storage device such as the database 4, or from the memory of the personal characteristic estimation device 2.

The behavioral information acquisition unit 2c may acquire the history of behavioral information directly from the behavior detection unit 32, from an external storage device such as the database 4, or from the memory of the personal characteristic estimation device 2.

The biometric information acquisition unit 2d may acquire the biometric information history directly from the biometric detection unit 33, from an external storage device such as the database 4, or from the memory of the personal characteristic estimation device 2.

(6) Summary The personal characteristic estimation device (2) of the first aspect according to the above-described embodiment includes a genetic information acquisition unit (2a), an environmental information acquisition unit (2b), and a personal characteristic estimation unit (2e). The genetic information acquisition unit (2a) acquires genetic information of a target person (H1). The environmental information acquisition unit (2b) acquires a history of environmental information related to the living environment of the target person (H1) detected by the environment detection unit (31). The personal characteristic estimation unit (2e) estimates personal characteristics of the target person (H1) based on the genetic information and the history of environmental information.

The above-mentioned personal characteristic estimation device (2) can accurately estimate the personal characteristics of the target person (H1).

The personal characteristic estimation device (2) of the second aspect of the above-described embodiment preferably further includes a behavioral information acquisition unit (2c) that acquires a history of behavioral information related to the behavior of the target person (H1) in the first aspect. The personal characteristic estimation unit (2e) estimates personal characteristics based on genetic information, the history of environmental information, and the history of behavioral information.

The above-mentioned personal characteristic estimation device (2) can estimate the personal characteristics of the target person (H1) with greater accuracy.

The personal characteristic estimation device (2) of the third aspect of the above-described embodiment preferably further includes a biometric information acquisition unit (2d) that acquires a history of biometric information of the target person (H1) in the first aspect. The personal characteristic estimation unit (2e) estimates personal characteristics based on genetic information, the history of environmental information, and the history of biometric information.

The above-mentioned personal characteristic estimation device (2) can estimate the personal characteristics of the target person (H1) with greater accuracy.

The personal characteristic estimation device (2) of the fourth aspect of the embodiment described above preferably further includes, in the first aspect, a behavioral information acquisition unit (2c) that acquires a history of behavioral information related to the behavior of the target person (H1), and a biometric information acquisition unit (2d) that acquires a history of biometric information of the target person (H1). The personal characteristic estimation unit (2e) estimates personal characteristics based on genetic information, the history of environmental information, the history of behavioral information, and the history of biometric information.

The above-mentioned personal characteristic estimation device (2) can estimate the personal characteristics of the target person (H1) with greater accuracy.

In the fifth aspect of the personal characteristic estimation device (2) according to the above-mentioned embodiment, in any one of the first to fourth aspects, it is preferable that the personal characteristic estimation unit (2e) estimates at least one of the personality, preferences, risks, response to stimuli, suitability for medicine, and lifestyle risks of the target person (H1) as the personal characteristics.

The above-mentioned personal characteristic estimation device (2) can accurately estimate at least one of the following personal characteristics of the target person (H1): personality, preferences, risks, response to stimuli, suitability for medicines, and lifestyle risks.

In the sixth aspect of the personal characteristic estimation device (2) according to the above-mentioned embodiment, in any one of the first to fifth aspects, it is preferable that the environmental information acquisition unit (2b) acquires at least one of the following environmental information: light environment, sound environment, air environment, taste environment, health condition, and date and time.

The above-mentioned personal characteristic estimation device (2) can obtain information about the living environment in which the target person (H1) was born and raised.

The seventh aspect of the personal characteristic estimation system (1) according to the above embodiment includes a personal characteristic estimation device (2) according to any one of the first to sixth aspects and an environment detection unit (31).

The above-described personal characteristic estimation system (1) can accurately estimate the personal characteristics of the target person (H1).

The spatial environment control system (9A) of the eighth aspect of the above-mentioned embodiment includes a personal characteristic estimation device (2) of any one of the first to sixth aspects, an emotion estimation unit (5), and an environmental adjustment device (7A). The emotion estimation unit (5) estimates the emotion of the target person (H1) as an estimated emotion (E1) based on the personal characteristics and the biometric information of the target person (H1). The environmental adjustment device (7A) adjusts the spatial environment of the space (R1) in which the target person (H1) exists based on the estimated emotion (E1).

The spatial environment control system (9A) described above can accurately estimate the personal characteristics of the target person (H1). Furthermore, the spatial environment control system (9A) can provide a spatial environment suited to the emotions of the target person (H1) based on the personal characteristics and biometric information of the target person (H1).

The spatial environment control system (9A) of the ninth aspect of the above-mentioned embodiment includes a personal characteristic estimation device (2) of any one of the first to sixth aspects, an emotion estimation unit (5), and an environmental adjustment device (7A). The emotion estimation unit (5) estimates the emotion of a target person (H1) as an estimated emotion (E1) based on the personal characteristics and environmental information. The environmental adjustment device (7A) adjusts the spatial environment of a space (R1) in which the target person (H1) exists based on the estimated emotion (E1).

The spatial environment control system (9A) described above can accurately estimate the personal characteristics of the target person (H1). Furthermore, the spatial environment control system (9A) can provide a spatial environment suitable for the emotions of the target person (H1) based on the personal characteristics and living environment of the target person (H1).

In the spatial environment control system (9A) of the tenth aspect of the above-mentioned embodiment, in the eighth or ninth aspect, it is preferable that the environmental adjustment device (7A) adjusts the spatial environment so that the emotion of the target person (H1) changes from the estimated emotion (E1) to the target emotion (E2).

The spatial environment control system (9A) described above can control the emotions of the target person (H1).

An information provision system (9B) of an eleventh aspect according to the above-described embodiment includes a personal characteristic estimation device (2) of any one of the first to sixth aspects, and an information provision device (7B) that provides information to a target person (H1). The personal characteristics include the preferences of the target person (H1). The information provision device (7B) provides information based on the preferences as information.

The above-mentioned information provision system (9B) can accurately estimate the personal characteristics of the target person (H1). Furthermore, the information provision system (9B) can provide information according to the preferences of the target person (H1).

The information provision system (9B) of the twelfth aspect of the above-mentioned embodiment includes a personal characteristic estimation device (2) of any one of the first to sixth aspects, and an information provision device (7B) that provides information to a target person (H1). The personal characteristics include the lifestyle risks of the target person (H1). The information provision device (7B) provides insurance information based on the lifestyle risks as information.

The above-mentioned information provision system (9B) can accurately estimate the personal characteristics of the target person (H1). Furthermore, the information provision system (9B) can provide information according to the lifestyle risks of the target person (H1).

The personal characteristic estimation method of the thirteenth aspect of the above-described embodiment estimates personal characteristics of a target person (H1) based on genetic information of the target person (H1) and a history of environmental information related to the living environment of the target person (H1) detected by the environment detection unit (31).

The above-described personal characteristic estimation method can accurately estimate the personal characteristics of the target person (H1).

The program of the 14th aspect of the above-mentioned embodiment causes a computer to execute the personal characteristic estimation method of the 13th aspect.

The above-mentioned program can accurately estimate the personal characteristics of the target person (H1).

REFERENCE SIGNS LIST 1 Personal characteristic estimation system 2 Personal characteristic estimation device 2a Genetic information acquisition unit 2b Environmental information acquisition unit 2c Behavioral information acquisition unit 2d Biometric information acquisition unit 2e Personal characteristic estimation unit 31 Environment detection unit 5 Emotion estimation unit 7A Environmental adjustment device 7B Information provision device 9A Spatial environment control system 9B Information provision system E1 Estimated emotion E2 Target emotion H1 Target person R1 Space

Claims (6)

A personal characteristic estimation device;
an information providing device for providing information to a target person,
The personal characteristic estimation device comprises:
A genetic information acquisition unit that acquires genetic information of the target person;
an environmental information acquisition unit that acquires a history of environmental information using an environmental detection unit that detects environmental information related to the living environment of the target person;
an individual characteristic estimation unit that estimates individual characteristics of the target person based on the genetic information and a history of the environmental information ,
The personal characteristics include preferences of the subject person;
The information providing device provides information based on the preferences as the information.
Information provision system. The personal characteristic estimation device comprises:
A behavior information acquisition unit that acquires a history of behavior information related to the behavior of the target person,
The information providing system according to claim 1 , wherein the individual characteristic estimating unit estimates the individual characteristic based on the genetic information, the history of the environmental information, and the history of the behavioral information. The personal characteristic estimation device comprises:
Further comprising a biometric information acquisition unit for acquiring a history of biometric information of the target person,
The information providing system according to claim 1 , wherein the individual characteristic estimating unit estimates the individual characteristic based on the genetic information, the history of the environmental information, and the history of the biological information. The personal characteristic estimation device comprises:
A behavior information acquisition unit that acquires a history of behavior information related to the target person's behavior;
A biometric information acquisition unit that acquires a history of biometric information of the target person,
The information providing system of claim 1 , wherein the individual characteristic estimating unit estimates the individual characteristic based on the genetic information, the history of the environmental information, the history of the behavioral information, and the history of the biological information. The information providing system according to claim 1 , wherein the individual characteristic estimating unit further estimates at least one of the target person's personality , risk, response to a stimulus, suitability for a drug, and lifestyle risk as the individual characteristic . The information providing system according to claim 1 , wherein the environmental information acquiring unit acquires at least one of information on a light environment, a sound environment, an air environment, and a taste environment as the environmental information.

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