WO2023228789A1 - Information processing system, information processing method, information processing device, and user terminal - Google Patents
Information processing system, information processing method, information processing device, and user terminal Download PDFInfo
- Publication number
- WO2023228789A1 WO2023228789A1 PCT/JP2023/018045 JP2023018045W WO2023228789A1 WO 2023228789 A1 WO2023228789 A1 WO 2023228789A1 JP 2023018045 W JP2023018045 W JP 2023018045W WO 2023228789 A1 WO2023228789 A1 WO 2023228789A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- information
- user
- information processing
- sharing range
- sharing
- Prior art date
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 188
- 238000003672 processing method Methods 0.000 title claims description 5
- 238000012545 processing Methods 0.000 claims abstract description 49
- 230000008859 change Effects 0.000 claims description 14
- 230000004044 response Effects 0.000 claims description 13
- 238000004891 communication Methods 0.000 description 41
- 238000004422 calculation algorithm Methods 0.000 description 34
- 238000004364 calculation method Methods 0.000 description 30
- 238000010586 diagram Methods 0.000 description 30
- 230000006870 function Effects 0.000 description 30
- 239000000090 biomarker Substances 0.000 description 28
- 238000004458 analytical method Methods 0.000 description 22
- 230000036541 health Effects 0.000 description 20
- 238000000034 method Methods 0.000 description 18
- 230000004622 sleep time Effects 0.000 description 15
- 201000010099 disease Diseases 0.000 description 14
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 14
- 238000011156 evaluation Methods 0.000 description 12
- 238000012986 modification Methods 0.000 description 12
- 230000004048 modification Effects 0.000 description 12
- 230000008569 process Effects 0.000 description 10
- 239000003814 drug Substances 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 230000007958 sleep Effects 0.000 description 8
- 210000001364 upper extremity Anatomy 0.000 description 8
- 230000001133 acceleration Effects 0.000 description 7
- 229940079593 drug Drugs 0.000 description 7
- 230000000694 effects Effects 0.000 description 7
- 230000036385 rapid eye movement (rem) sleep Effects 0.000 description 7
- 230000009471 action Effects 0.000 description 6
- 238000012800 visualization Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 4
- 208000020016 psychiatric disease Diseases 0.000 description 4
- 208000024891 symptom Diseases 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000003542 behavioural effect Effects 0.000 description 3
- 238000009225 cognitive behavioral therapy Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000008921 facial expression Effects 0.000 description 3
- 235000012054 meals Nutrition 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 206010020772 Hypertension Diseases 0.000 description 2
- 230000004913 activation Effects 0.000 description 2
- 206010002026 amyotrophic lateral sclerosis Diseases 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000036772 blood pressure Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 206010012601 diabetes mellitus Diseases 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 235000013402 health food Nutrition 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 208000015122 neurodegenerative disease Diseases 0.000 description 2
- 230000003863 physical function Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 208000035285 Allergic Seasonal Rhinitis Diseases 0.000 description 1
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 206010012289 Dementia Diseases 0.000 description 1
- 208000036119 Frailty Diseases 0.000 description 1
- 208000011688 Generalised anxiety disease Diseases 0.000 description 1
- 206010019280 Heart failures Diseases 0.000 description 1
- 208000012902 Nervous system disease Diseases 0.000 description 1
- 208000025966 Neurological disease Diseases 0.000 description 1
- 208000018737 Parkinson disease Diseases 0.000 description 1
- 208000026935 allergic disease Diseases 0.000 description 1
- 206010003119 arrhythmia Diseases 0.000 description 1
- 230000006793 arrhythmia Effects 0.000 description 1
- 206010003549 asthenia Diseases 0.000 description 1
- 208000006673 asthma Diseases 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 235000006694 eating habits Nutrition 0.000 description 1
- 238000002567 electromyography Methods 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 210000000245 forearm Anatomy 0.000 description 1
- 208000029364 generalized anxiety disease Diseases 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 208000019622 heart disease Diseases 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 208000026278 immune system disease Diseases 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 230000003387 muscular Effects 0.000 description 1
- 201000006938 muscular dystrophy Diseases 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 230000002250 progressing effect Effects 0.000 description 1
- 238000012113 quantitative test Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 208000023504 respiratory system disease Diseases 0.000 description 1
- 208000001076 sarcopenia Diseases 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 208000019116 sleep disease Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 210000000689 upper leg Anatomy 0.000 description 1
- 230000036642 wellbeing Effects 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/176—Support for shared access to files; File sharing support
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Definitions
- the present disclosure relates to an information processing system and an information processing method, as well as an information processing device and a user terminal.
- Vital sensors that detect a user's biological information are known. Furthermore, in recent years, technology has been developed to predict a user's illness based on biological information detected using a vital sensor.
- Patent Document 1 discloses a technique in which, when a user's biometric information is shared with a third party, restrictions are placed on the biometric information to be shared.
- the present disclosure aims to provide an information processing system and an information processing method, as well as an information processing device and a user terminal, which make it possible to easily set the sharing range of user information including biometric information.
- the information processing system includes a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information, and recommended sharing that is recommended to be shared, calculated based on the expected sharing range.
- the information processing apparatus includes a processing unit that transmits the range to a user terminal corresponding to the user information, and the user terminal includes a display control unit that displays the recommended sharing range on a display unit.
- FIG. 1 is a schematic diagram illustrating an example of a schematic configuration of an information processing system applicable to the present disclosure.
- FIG. 2 is a schematic diagram showing an example of a sensor and sensing data applicable to the present disclosure.
- FIG. 2 is a functional block diagram of an example for explaining functions of an information processing system applicable to the present disclosure.
- FIG. 2 is a diagram illustrating an example of an algorithm DB in which information such as feature value calculation algorithms applicable to the present disclosure is registered.
- FIG. 2 is a schematic diagram illustrating an example of a feature amount that can be calculated and is applicable to the present disclosure.
- FIG. 2 is a schematic diagram showing an example of an algorithm DB in which information such as learned models is registered, which is applicable to the present disclosure.
- FIG. 2 is a block diagram showing a hardware configuration of an example of an information processing device applicable to the present disclosure.
- FIG. 2 is a block diagram showing a hardware configuration of an example of a user terminal applicable to the present disclosure.
- FIG. 2 is a functional block diagram of an example for explaining the functions of the information processing system according to the embodiment.
- FIG. 3 is a schematic diagram showing an example of user information held by the information holding unit according to the embodiment.
- FIG. 7 is a schematic diagram illustrating an example of service provider sharing range information stored in a service provider sharing range storage unit according to the embodiment. 7 is a flowchart of an example of processing by an access control unit according to the embodiment. 5 is a flowchart of an example of processing by an intervention module according to an embodiment.
- FIG. 2 is a flowchart of an example of a method of presenting an expected sharing range according to an embodiment.
- FIG. 2 is a schematic diagram showing an example of an initial screen displayed on a user terminal by the user terminal program according to the embodiment.
- FIG. 3 is a schematic diagram showing an example of a sharing range setting screen according to the embodiment.
- FIG. 3 is a schematic diagram showing an example of an inference target value table in which an inference target value holding unit according to an embodiment holds inference target values.
- FIG. 3 is a schematic diagram illustrating an example of a sharing status visualization screen that visualizes the sharing status of users with respect to service providers for each service provider, according to the embodiment. It is a flowchart of an example which shows the process based on the 1st modification of embodiment. It is a flowchart of an example which shows the process based on the 2nd modification of embodiment.
- the present disclosure relates to a method for presenting the scope of data sharing when sharing user information with a third party in a healthcare application that assists user health management.
- the third party may be, for example, a business operator that provides services to users using the healthcare application.
- the business operator will be referred to as a service provider (SP) as a service provider.
- SP service provider
- a service provider may be an individual, a corporation, a specific organization, etc.
- the user information may include identification information that identifies the user, attribute information of the user, and biometric information acquired from the user.
- Non-Patent Document 1 (Yuri Rykov, 4 others, “Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling", [online], October 15, 2021, JMIR mHealth and uHealth ISSN 2291-5222, [searched on April 21, 2020], Internet, ⁇ https://mhealth.jmir.org/2021/10/e24872>) provides data on 11 digital biomarkers of activity trackers. This suggests that there is a significant relationship with the severity of depression. In this way, it has been shown that the value of each biomarker has a correlation with the degree of depression, and it is said that it is possible to provide personalized medical care based on these biomarkers.
- Biometric information data obtained from, for example, a wearable device needs to be kept confidential.
- the present disclosure proposes a solution to the problems in these conventional techniques.
- the user specifies information included in the user information that is permitted to be shared with the service provider, and sets the user information sharing range.
- User information and user information sharing range are held and managed by the server according to the present disclosure.
- the server can infer variables that are indicative of the user's health status, for example, in response to a request from the service provider. At this time, the server infers the variable using information that is permitted to be shared within the user information sharing range among the user information.
- the server may present to the user a recommended sharing range that recommends sharing as the user information sharing range.
- the recommended sharing range may be a combination of one or more pieces of information that are recommended to be shared among the pieces of information included in the user information held in the server.
- the recommended sharing range may be specified manually by the service provider, or may be specified based on explanatory variables that are considered preferable as a result of identification using algorithms such as disease and mood determination.
- the server may maintain a table indicating which service provider the user shares which information included in the user information as the user information sharing range.
- the server may refer to the table to visualize and present to the user information to be shared within the user information sharing range for each service provider.
- the server may present a plurality of recommended sharing ranges with reasons for the user information sharing range specified by the user.
- the reason given to the recommended sharing range may be, for example, the benefit that the user can obtain by applying the recommended sharing range.
- the user may select a recommended sharing range that is considered appropriate from the plurality of recommended sharing ranges presented, and change the user information sharing range specified by the user based on the selected recommended sharing range.
- the technology according to the present disclosure has the above-described configuration, it is possible to easily set the sharing range of user information including biometric information with a third party.
- FIGS. 1 to 6 (1-3. System applicable to this disclosure) Next, for ease of understanding, a system applicable to the present disclosure will be described using FIGS. 1 to 6.
- FIG. 1 is a diagram illustrating an example of a schematic configuration of an information processing system applicable to the present disclosure.
- an information processing system 100 to which the present disclosure is applicable includes an information acquisition device 1, an information processing device 2, and one or more terminals.
- a medical worker terminal 3, a community member terminal 4, a life insurance/health insurance terminal 5, a service provider terminal 6, and an analysis terminal 7 are shown as terminals.
- the information processing device 2 functions as a server according to the present disclosure.
- a user of the information processing system 100 is referred to as a user U.
- the service provider terminal 6 is a business terminal used by a service provider that provides products and services to the user U.
- Each device and terminal included in the information processing system 100 is configured to be able to communicate via a network N such as the Internet.
- the information processing device 2 is shown as being included in a cloud network CL connected to a network N.
- the cloud network CL is a network that includes a plurality of computers and storage devices that are communicably connected to each other via a network, and that can provide computer resources in the form of services.
- the information processing device 2 is not limited to the configuration on the cloud network CL, but may be configured with a single piece of hardware connected to the network N, or the information processing device 2 may be configured with multiple computers connected to each other so as to be able to communicate with each other, distributing functions. It may also be configured by
- User U may be a patient with a disease.
- diseases include neurological diseases, muscular degenerative diseases, cardiovascular diseases, psychiatric diseases, diabetes, immune/allergic diseases, and diseases specific to the elderly, and more specifically, Parkinson's disease, muscular dystrophy, and cerebellar degenerative diseases. , amyotrophic lateral sclerosis (ALS), arrhythmia, heart failure, hypertension, depression, dementia, sleep disorders, asthma, hay fever, sarcopenia/frailty, etc.
- ALS amyotrophic lateral sclerosis
- User U is not limited to a patient with a disease.
- the user U may be a healthy person without any disease or the like.
- the information acquisition device 1 includes a sensor 11 and a user terminal 12.
- Sensor 11 is provided for user U.
- the sensing data may be data at a specific point in time or may be time-series data.
- the sensor 11 may be a wearable sensor attached to the body of the user U, or may be an image sensor (for example, a monitoring camera), which will be described later, that captures an image of the user U or detects the sound of the user U, or a sound collection sensor ( For example, it may be a sound collection section of a smart speaker).
- the body parts of the user U to which the sensor 11 is attached include the wrist Ua, forearm Ub, upper arm Uc, neck Ud, waist Ue, thigh Uf, chest Ug, finger Uh, face Ui (eyes, mouth, etc.), and ear Uj. Illustrated with .
- FIG. 2 is a schematic diagram showing an example of the sensor 11 and sensing data applicable to the present disclosure.
- the sensor 11 include an acceleration sensor, an angular velocity sensor, a position sensor, an image sensor, a sound collection sensor, and a vital sensor.
- Various known sensors may be used as these sensors.
- the acceleration sensor detects acceleration. Sensing data of the angular velocity sensor is referred to as acceleration data.
- the angular velocity sensor is also called a gyro sensor or the like, and detects angular velocity. Sensing data of the angular velocity sensor is referred to as angular velocity data.
- a position sensor detects a position. Sensing data of the position sensor is referred to as position data.
- the image sensor is an image sensor or the like, and captures an image of a subject. Sensing data from the image sensor is referred to as image data. Note that "image” may be interpreted to include video, and “imaging” may be interpreted to include shooting.
- the sound collection sensor is a microphone or the like, and detects sound. Sensing data from the sound collection sensor is referred to as sound data.
- the vital sensor detects biological information.
- the sensing data of the vital sensor is referred to as vital data.
- the sensing data may include heart rate, brain waves, electrocardiogram, blood flow, blood pressure, respiration, vital capacity, electromyography, body temperature, blood sugar level, weight, vibration, shock, perspiration, and the like.
- image sensor and sound collection sensor may be used as a non-contact vital sensor.
- blood pressure and the like are detected from image data from an image sensor.
- Heartbeat etc. are detected from the sound data of the sound collection sensor.
- the result of operation of the user terminal 12 by the user U may be included in the sensing data.
- operation results include operation time, operation time (operation timing), input voice, input document, and the like.
- medication/meal information regarding user U's medication and meals may also be included in the sensing data.
- the medication/meal information may be input and acquired by operating the user terminal 12, for example, or may be detected by a sensor provided on a medicine box, tray, or the like.
- User U's health checkup results and the like may also be included in the sensing data.
- the user terminal 12 is a terminal used by user U.
- Examples of the user terminal 12 are a smartphone, a tablet terminal, a personal computer, a television receiver, etc., and terminals other than the user terminal 12 described later may be the same.
- Sensing data from the sensor 11 is transmitted from the sensor 11 to the user terminal 12 and collected. Note that a part of the sensor 11 may be incorporated into the user terminal 12.
- the user terminal 12 transmits the collected sensing data to the information processing device 2.
- the information processing device 2 receives sensing data.
- the information processing device 2 processes the received sensing data. Details of the processing will be described later. Information obtained by processing in the information processing device 2 (corresponding to "result information" in FIG. 3, which will be described later) is transmitted to other devices and terminals.
- the medical worker terminal 3 is a terminal used by the medical worker C.
- Examples of medical personnel C include doctors, nurses, pharmacists, physical therapists, and caregivers.
- Community member terminal 4 is a terminal used by member M.
- the member M is a member who belongs to the same community as the user U, and is, for example, a family member of the user U, another patient with the same disease as the user U, or the like.
- the life insurance/health insurance terminal 5, service provider terminal 6, and analysis terminal 7 will be described later.
- FIG. 3 is an example functional block diagram for explaining the functions of the information processing system 100 applicable to the present disclosure.
- sensing data from the sensor 11 is collected by the user terminal 12 .
- the user terminal 12 includes a communication section 13, a user interface section 14, a processing section 15, and a storage section 16.
- An example of the information stored in the storage unit 16 is an application program 161 (application software).
- an application for use by the user U is provided.
- applications are applications that support rehabilitation of user U, applications that support treatment of diseases, applications that record symptoms of diseases, eating habits, etc. More specifically, applications that are used when performing rehabilitation These include rehabilitation applications, applications that provide cognitive behavioral therapy, and applications that record symptoms of heart and respiratory diseases.
- the communication unit 13 communicates with other devices and the like. For example, the communication unit 13 receives sensing data from the sensor 11 and result information (described later) from the information processing device 2. Furthermore, the communication unit 13 transmits sensing data to the information processing device 2 .
- the user interface unit 14 accepts operations on the user terminal 12 by the user U and presents information to the user U.
- the processing unit 15 functions as a control unit that controls each element of the user terminal 12, and also executes various processes.
- the processing unit 15 executes the application program 161. This provides the various applications described above.
- a rehabilitation application as an example, a rehabilitation menu indicating the contents of rehabilitation, etc., is presented (displayed, etc.) by the user interface unit 14, for example. User U performs rehabilitation according to the presented rehabilitation menu.
- the information processing device 2 receives sensing data from the information acquisition device 1 and processes it.
- the information processing device 2 includes a communication section 21 , an estimation section 22 , a storage section 23 , a recommendation section 24 , and a processing section 25 .
- Examples of information stored in the storage unit 23 include patient information 231, community information 232, algorithm DB 233, learned model 234, recommendation information 235, and anonymously processed information 236.
- Patient information 231 includes information regarding user U who is a patient.
- Examples of the patient information 251 include user U's disease information, diagnosis information, medical records, examination information, medication information, hospital visit history information, rehabilitation history information, and the like.
- the disease information includes the disease name of the user U mentioned above. Diagnostic information, medical record, checkup information, medication information, and hospital visit history information are information related to user U's diagnosis, medical treatment, checkup, medication, and hospital visit history, and are stored, for example, outside the information processing device 2 (medical worker terminal 3, etc.) given from.
- the rehabilitation history information is information regarding past rehabilitation performed by the user U, is acquired, for example, in the above-mentioned rehabilitation application, and is transmitted from the user terminal 12 to the information processing device 2.
- the community information 232 is information about the community to which the user U belongs, and includes information about the members M and the community member terminals 4.
- the algorithm DB 233, trained model 234, recommendation information 235, and anonymously processed information 236 will be described later.
- the communication unit 21 communicates with other devices. For example, the communication unit 21 receives sensing data from the user terminal 12.
- the estimation unit 22 executes estimation processing based on sensing data. For example, the estimation unit 22 calculates various indicators that can be used for estimation based on the sensing data. Examples of the indicators include indicators related to user U's physical functions, indicators related to behavior, indicators related to diseases, indicators related to emotions, and the like. Various algorithms for calculating the index may be used. The algorithm may be a trained model generated by machine learning using training data. The algorithm may be designed to output an index when sensing data is input, or may be designed to output an index when a feature amount obtained from sensing data is input. The feature amount may be calculated by the estimation unit 22 based on sensing data. Calculation of a feature amount may be understood to include generation, extraction, etc. of a feature amount.
- the communication unit 21 transmits the result information to other devices and terminals, in this example, the user terminal 12, the medical worker terminal 3, the community member terminal 4, and the life insurance/health insurance terminal 5. Note that the recommendation unit 24 and processing unit 25 of the information processing device 2 will be described later.
- the result information is presented by the user interface section 14.
- User U can know various indicators regarding his/her physical functions, behavior, diseases, etc.
- the result information transmitted from the information processing device 2 to the user terminal 12 may include content to be presented to the user U. It becomes possible to present individual content based on the estimation results.
- the medical worker terminal 3 includes a communication section 31, a user interface section 32, and a storage section 33.
- Medical information 331 is exemplified as the information stored in the storage unit 33.
- the medical information 331 includes, for example, medical record information of the user U, and is used by the medical worker C to diagnose the user U.
- the communication unit 31 communicates with other devices and the like. For example, the communication unit 31 receives result information from the information processing device 2.
- the user interface unit 32 accepts operations on the medical worker terminal 3 by the medical worker C, presents information to the medical worker C, and the like. For example, the user interface unit 32 presents result information from the information processing device 2, and thereby updates the medical information 331, such as adding medical record information. Intervention by medical worker C is also possible. For example, individual content such as a rehabilitation menu customized by the medical worker C to suit the user U is generated. The content is transmitted to the user terminal 12 by the communication unit 31 and presented to the user U.
- the community member terminal 4 includes a communication section 41 and a user interface section 42.
- the communication unit 41 communicates with other devices and the like. For example, the communication unit 41 receives result information from the information processing device 2.
- the user interface unit 42 accepts operations on the community member terminal 4 by members M, and presents information to members M. For example, result information from the information processing device 2 is presented and shared with the member M as well.
- the result information transmitted from the information processing device 2 to the community member terminal 4 may include content to be presented to the member M. It becomes possible to present individual content based on the estimation results.
- the life insurance/health insurance terminal 5 is a terminal used by insurance companies, health insurance companies, etc.
- the life insurance/health insurance terminal 5 includes a communication section 51, an analysis section 52, and a storage section 53.
- customer/employee information 531 is exemplified.
- the customer/employee information 531 includes information regarding user U's life insurance, health insurance, and the like.
- the communication unit 51 communicates with the information processing device 2 and receives, for example, result information from the information processing device 2.
- the analysis unit 52 analyzes the result information and specifies (calculates, etc.) insurance premiums and rewards. Identification may involve the work or judgment of employees of life insurance companies or health insurance companies. Insurance premiums may be reduced or changes to limited plans may be made.
- the communication unit 51 transmits the identified insurance premium and insurance premium/reward information recommending it to the user terminal 12. Premium/reward information is presented by the user interface section 14 of the user terminal 12.
- the service provider terminal 6 (shown as SP terminal 6 in the figure) is a terminal used by the service provider.
- Examples of products for which information is transmitted from the service provider terminal 6 to the information processing device 2 include wheelchairs, walking aids, rehabilitation equipment, health foods, and health appliances.
- an example of a service in which information is transmitted from the service provider terminal 6 to the information processing device 2 is a health application or the like that can be executed on the user terminal 12.
- the service provider terminal 6 includes a communication section 61 and a user interface section 62.
- the service provider terminal 6 receives or generates product/service information that associates result information with products and services, for example, via the user interface unit 62. For example, conditions indicating the association between the index shown in the result information and the product or service are input to the service provider terminal 6, and information including this condition is generated as product/service information.
- the communication unit 61 transmits product/service information to the information processing device 2 .
- the communication unit 21 of the information processing device 2 receives product/service information from the service provider terminal 6.
- the recommendation unit 24 and processing unit 25 of the information processing device 2 will be explained.
- the recommendation unit 24 generates recommendation information 235 including information on products and services that should be recommended to the user U based on the product/service information from the service provider terminal 6. For example, the recommendation unit 24 determines products and services corresponding to the result information based on the conditions input at the service provider terminal 6 described above, and generates recommendation information 235 that recommends them.
- the communication unit 21 transmits the recommendation information 235 to the user terminal 12 and the community member terminal 4.
- the recommendation information 235 is presented by the user interface unit 14 of the user terminal 12 or by the user interface unit 42 of the community member terminal 4.
- the processing unit 25 generates anonymously processed information 236 by anonymizing the result information.
- the anonymously processed information 236 describes anonymized personal information and result information in association with each other.
- the communication unit 21 of the information processing device 2 transmits anonymously processed information 236 to the analysis terminal 7.
- the analysis terminal 7 is a terminal used by, for example, companies that provide the above-mentioned products/services, pharmaceutical companies that conduct clinical development, and the like.
- the analysis terminal 7 includes a communication section 71, an analysis section 72, and a user interface section 73.
- the communication unit 71 receives anonymously processed information 236 from the information processing device 2.
- the analysis unit 72 performs data analysis based on the anonymously processed information 236.
- the analysis may involve work, judgment, etc. by employees of the company.
- the user interface unit 73 presents information related to data analysis, etc. Examples of analysis include analysis of user groups for products such as health foods and health appliances, and data analysis for clinical development.
- the anonymously processed information 236 can be utilized for various services such as marketing analysis by manufacturers, analysis of the proportion of users with specific symptoms, age, gender, etc., and monitoring of symptoms for patients taking specific drugs.
- functions and information related to various services at the life insurance/health insurance terminal 5, the service provider terminal 6, and the analysis terminal 7, such as the recommendation section 24, the processing section 25, the recommendation information 235, and the anonymously processed information 236, are transferred to the information processing device 2.
- the life insurance/health insurance terminal 5, the service provider terminal 6, and the analysis terminal 7 communicate with corresponding server devices and utilize their functions. According to this configuration, it is possible to reduce the processing load on the information processing device 2 and reduce costs by simplifying functions.
- Some of the functions of a terminal may be provided in a server device or the like managed by the user of the corresponding terminal.
- the function of the analysis unit 52 of the life insurance/health insurance terminal 5 may be provided in a server device or the like managed by an insurance company, health insurance company, or the like.
- the life insurance/health insurance terminal 5 communicates with the server device and utilizes its functions.
- the function of the analysis unit 72 of the analysis terminal 7 may be provided in a server device or the like managed by a pharmaceutical company or the like.
- the analysis terminal 7 communicates with the server device and uses its functions. It is possible to reduce the processing burden on the life insurance/health insurance terminal 5 and the analysis terminal 7, and to simplify the functions and reduce costs.
- the estimation unit 22 calculates an index based on the evaluation result of the feature amount calculated from the sensing data. In that case, the estimation unit 22 calculates the feature amount from the sensing data using a feature amount calculation algorithm. Then, the estimation unit 22 calculates an index by evaluating the calculated feature amount. Information such as a feature value calculation algorithm suitable for calculating a specific index is registered in the algorithm DB 233 stored in the storage unit 23.
- FIG. 4 is a diagram showing an example of the algorithm DB 233 in which information such as feature value calculation algorithms applicable to the present disclosure is registered.
- the algorithm DB 233 describes indicators, input data, feature amount calculation algorithms, evaluation items, and evaluation conditions in association with each other. In FIG. 4, a specific example is shown in the first line of the algorithm DB 233.
- An example of an indicator is a rehabilitation indicator.
- the input data indicates the data on which the estimation is based, and in this example is image data.
- the feature amount calculation algorithm is an algorithm that calculates feature amounts necessary for calculating an index, and in this example, it is a posture estimation algorithm that calculates a feature amount related to posture based on image data. For example, various feature amounts related to posture are calculated based on feature points in the image.
- the evaluation item indicates a feature amount that is an evaluation item among the feature amounts calculated by the feature amount calculation algorithm.
- the feature amounts of the evaluation items are schematically shown as feature amount A and feature amount B.
- the evaluation condition indicates the condition for evaluating the evaluation item, and includes a weighting coefficient and a threshold value in this example.
- the weighting coefficient is used to weight each evaluation item (feature amount A, feature amount B, etc.).
- the threshold value is set for the score (evaluation value) calculated from each weighted evaluation item. For example, when the score is greater than or equal to the threshold, an index indicating that a rehabilitation effect has been obtained, that is, a rehabilitation effect is present, is calculated as a rehabilitation index. If the score is less than the threshold, an index indicating that no rehabilitation effect was obtained, that is, no rehabilitation effect, is calculated as a rehabilitation index.
- the algorithm DB 233 describes feature value calculation algorithms and the like in association with each rehabilitation indicator. Furthermore, there may be various indicators other than rehabilitation indicators, and the algorithm DB 233 describes feature value calculation algorithms and the like in association with each of these indicators.
- FIG. 5 is a schematic diagram showing an example of computable feature amounts applicable to the present disclosure.
- Features that can be calculated include, in addition to the posture-related features mentioned above, walking-related features, wheelchair-related features, upper limb-related features, rehabilitation-related features, vital stability-related features, speech-related features, and facial expressions.
- a feature amount related to sleep and a feature amount related to sleep are exemplified.
- An example of a feature amount related to posture is the posture of the user U's body, more specifically, for example, the inclination of the neck Ud.
- This feature amount may be calculated from image data as described above, or may be calculated from acceleration data, angular velocity data, etc.
- Examples of feature amounts related to walking include the number of steps, walking distance, walking range, etc.
- Examples of features related to wheelchairs include riding distance, riding range, and the like. These feature amounts are calculated from, for example, acceleration data, angular velocity data, position data, image data, and the like.
- feature amounts related to the upper limb are feature amounts related to raising and lowering the upper limb, and more specifically, the upper limb raising and lowering time, the number of times the upper limb is raised and lowered, the height of the upper limb raising and lowering, and the like. This feature amount is calculated from, for example, acceleration data, angular velocity data, image data, etc.
- Examples of features related to rehabilitation include rehabilitation implementation rate, rehabilitation quality, etc.
- the rehabilitation implementation rate is, for example, the ratio (progress) of the rehabilitation menu actually performed to the target rehabilitation menu.
- the quality of rehabilitation is a score etc. calculated based on other information, such as information such as raising and lowering of the upper limb.
- This feature amount is calculated, for example, from other feature amounts such as posture-related features and upper limb-related feature amounts, rehabilitation history information (an example of the patient information 231 described above), and the like.
- An example of a feature amount related to vital stability is the stability of user U's heartbeat, etc. This feature amount is calculated from vital data, image data, etc., for example.
- An example of a feature amount related to utterance is utterance time, etc. This feature amount is calculated from image data, sound data, etc., for example.
- feature amounts related to facial expressions include whether user U's facial expression is bright or dark. This feature amount is calculated from, for example, image data.
- An example of a feature amount related to sleep is sleep time, etc. This feature amount is calculated from image data, vital data, etc., for example.
- Various feature quantities other than those mentioned above can also be calculated.
- keystrokes, the number of social contacts, etc. are calculated from the operation results of the user terminal 12.
- Abnormal behavior, number of outings, outing time, etc. are calculated from the location data.
- Speech prosody, linguistic content, etc. are calculated from the sound data, more specifically from the user U's speech data.
- Sociability, language performance, hand movements, etc. are calculated from input documents.
- Facial features and the like are calculated from the image data.
- Information on line of sight, characteristic data during the game, etc. are calculated from image data, more specifically video data.
- the estimation unit 22 may calculate an appropriate index by referring to the algorithm DB 233 as described above and using the feature value calculation algorithm registered therein.
- the learned model 234 may be used as the algorithm.
- the learned model 234 may be a model (such as a program) that has been machine learned using training data so as to output data corresponding to an index when data corresponding to the above-described input data is input.
- the estimation unit 22 calculates the index by inputting input data to the trained model 234 and acquiring output data from the trained model 234.
- the trained model 234 may be a plurality of trained models 234, each of which calculates a different index.
- the estimation unit 22 uses an appropriate trained model 234 to calculate the index.
- Information such as the trained model 234 used for calculation may be registered in the algorithm DB 233 stored in the storage unit 23.
- FIG. 6 is a diagram showing an example of the algorithm DB 233 in which information such as the learned model 234 is registered, which is applicable to the present disclosure.
- the algorithm DB 233 describes indicators, input data, and learned models 234 in association with each other.
- FIG. 6 a specific example is shown in the first line of the algorithm DB 233.
- a trained model 234 for calculating a rehabilitation index from image data is schematically shown as a trained model 234A.
- the learned model 234A receives data corresponding to image data, it outputs data corresponding to a rehabilitation index.
- the estimation unit 22 (see FIG. 3) refers to the algorithm DB 233 as described above and calculates an appropriate index by using the learned model 234 registered there.
- the learned model 234 may be the feature amount calculation algorithm described above with reference to FIG. 4. In this case, the learned model 234 outputs data corresponding to the feature amount when data corresponding to the input data is input.
- the estimation unit 22 calculates various indicators regarding the user U and outputs result information.
- FIG. 7 is a block diagram showing the hardware configuration of an example of the information processing device 2 applicable to the present disclosure. Note that the description here assumes that the information processing device 2 is constituted by, for example, a single computer.
- the information processing device 2 includes a CPU (Central Processing Unit) 2000, a ROM (Read Only Memory) 2001, and a RAM (Random Access Memory) 2002, which are communicably connected to each other via a bus 2010. It includes a storage device 2003, a data I/F (interface) 2004, and a communication I/F (interface) 2005. Note that although the storage device 2003 is shown as being built into the information processing device 2 in the figure, the storage device 2003 may be configured to be externally connected to the information processing device 2.
- a CPU Central Processing Unit
- ROM Read Only Memory
- RAM Random Access Memory
- the storage device 2003 is a nonvolatile storage medium such as a hard disk drive or flash memory.
- the CPU 2000 operates according to programs stored in the ROM 2001 and the storage device 2003, using the RAM 2002 as a work memory, and controls the overall operation of the information processing device 2.
- the data I/F 2004 is an interface for transmitting and receiving data with an external device.
- Communication I/F 2005 controls communication via network N.
- FIG. 8 is a block diagram showing the hardware configuration of an example of the user terminal 12 applicable to the present disclosure.
- the user terminal 12 includes a CPU 1200, a ROM 1201, a RAM 1202, a display control unit 1203, a storage device 1204, an input device 1205, and a data I/O device that are communicably connected to each other via a bus 1210.
- the storage device 1204 is a nonvolatile storage medium such as flash memory.
- a hard disk drive may be used as the storage device 1204.
- the CPU 1200 operates according to programs stored in the ROM 1201 and the storage device 1204, using the RAM 1202 as a work memory, and controls the overall operation of the user terminal 12.
- the display control unit 1203 generates a display signal that can be displayed by the display device 1220 based on the display control information generated by the CPU 1200.
- the display device 1220 includes a display element such as an LCD (Liquid Crystal Display), and a drive circuit for driving the display element.
- the display device 1220 causes a display element to display a screen according to the display signal output from the display control unit 1203.
- the display device 1220 causing the display device 1220 to display a predetermined screen based on the display control information generated by the CPU 1200 in the user terminal 12 will be described as, for example, the user terminal 12 displaying a predetermined screen.
- the input device 1205 accepts user operations and outputs control signals according to the user operations.
- a touch pad that outputs a control signal according to the operating position can be used as the input device 1205.
- the input device 1205 is not limited to this, and may include an operator such as a mechanical button, a keyboard, a pointing device such as a mouse, etc.
- a touch panel may be configured by integrally forming the display device 1220 and the input device 1205 so that the input device 1205 can transmit the display by the display device 1220.
- the data I/F 1206 is an interface for transmitting and receiving data with an external device.
- the data I/F 1206 may be an interface for wired communication such as USB (Universal Serial Bus), or may be an interface for wireless communication such as Bluetooth (registered trademark).
- the communication I/F 1207 controls communication to the network N by, for example, wireless communication.
- Sensor I/F 1208 is an interface for each sensor included in sensor 11.
- the service provider terminal shown in FIG. 1 can have a configuration similar to that of a general computer including a CPU, memory, storage device, communication I/F, input device, and display device, so the description here will be omitted. omitted.
- FIG. 9 is an example functional block diagram for explaining the functions of the information processing system according to the embodiment. Note that FIG. 9 focuses on parts that are closely related to the embodiment, and descriptions of parts that are less relevant to the embodiment in the information processing system 100 described using FIGS. 1 and 3 are omitted. ing.
- an information processing system 100a includes an information processing device 2, a service provider terminal 6, and a user terminal 12.
- the information processing device 2 includes an intervention notification unit 200, a recommended sharing range notification unit 201, an information storage unit 202, a recommended sharing range calculation unit 203, an access control unit 204, a SP sharing range storage unit 205, and an inference/sharing range storage unit 205.
- a target value holding unit 206 is included.
- Each part of the range holding unit 205 and the inference target value holding unit 206 is realized by running the information processing program for the server according to the embodiment on the CPU 2000.
- the present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
- the CPU 2000 configures each of the above-mentioned units as modules, for example, on the main storage area of the RAM 2002 by executing the information processing program for the server according to the embodiment.
- the information processing program can be acquired from the outside via, for example, the network N, and installed on the information processing apparatus 2 through communication via the communication I/F 2005.
- the information processing program is not limited to this, and the information processing program may be provided from the outside via the data I/F 2004. Further, the information processing program may be provided while being stored in a removable storage medium such as a CD (Compact Disk), a DVD (Digital Versatile Disk), or a USB (Universal Serial Bus) memory.
- CD Compact Disk
- DVD Digital Versatile Disk
- USB Universal Serial Bus
- the user terminal 12 includes an intervention presentation section 120, a sharing range presentation section 121, a biometric information acquisition section 122, a personal information acquisition section 123, and a sharing range setting section 124.
- Each of the intervention presentation unit 120, sharing range presentation unit 121, biological information acquisition unit 122, personal information acquisition unit 123, and sharing range setting unit 124 is operated by the user terminal program according to the embodiment on the CPU 1200. Realized. The present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
- the CPU 1200 executes the user terminal program according to the embodiment, thereby controlling the intervention presentation section 120, the sharing range presentation section 121, the biometric information acquisition section 122, the personal information acquisition section 123, and the sharing range described above.
- the setting unit 124 is configured as a module on the main storage area of the RAM 1202, respectively.
- the program for the user terminal can be obtained from the outside via, for example, the network N, and installed on the user terminal 12 by communication via the communication I/F 1207.
- the present invention is not limited to this, and the user terminal program may be provided from outside via the data I/F 1206.
- the program for the user terminal may be stored and provided in a removable storage medium such as a CD, DVD, or USB memory.
- the service provider terminal 6 includes a recommended sharing range setting section 600, an intervention module 601, and an information storage section 602.
- the configuration of the service provider terminal 6 is not limited to this example.
- the service provider terminal 6 may include the above-described recommended sharing range calculation unit 203 and recommended sharing range notification unit 201 in its configuration.
- the service provider terminal 6 may include the above-described intervention notification unit 200 and recommended sharing range notification unit 201 in its configuration.
- the recommended sharing range setting unit 600, the intervention module 601, and the information storage unit 602 are realized by executing the service provider terminal program according to the embodiment on the CPU of the service provider terminal 6.
- the present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
- the CPU executes the service provider terminal program according to the embodiment, so that the service provider terminal 6 has the above-mentioned recommended sharing range setting section 600, intervention module 601, and information storage section 602. Each of them is configured, for example, as a module on the main storage area of the memory.
- the program for the service provider terminal can be acquired from the outside via the network N, for example, and installed on the service provider terminal 6 through communication via the communication I/F of the service provider terminal 6. There is. However, the program for the service provider terminal may be provided from outside via the data I/F of the service provider terminal 6. Furthermore, the service provider terminal program may be provided while being stored in a removable storage medium such as a CD, DVD, or USB memory.
- the biological information acquisition unit 122 acquires the user's biological information.
- the biological information acquisition unit 122 may acquire the user's biological information based on each piece of information acquired by the sensor 11.
- the biological information acquisition unit 122 may acquire the user's biological information from a wearable device worn by the user.
- the biological information acquisition unit 122 acquires each piece of information included in the biological information as a digital biomarker (hereinafter referred to as a biomarker).
- the biomarker may be, for example, a digital value such as the user's daily step count, the user's heart rate, heart rate variability value, sleep time, time of each phase of sleep time (such as REM sleep), skin temperature, and the like. Values applicable as biomarkers are not limited to these.
- the personal information acquisition unit 123 acquires the attribute information and identification information of the user, which is included in the user information of the user who uses the information processing system 100a according to the embodiment using the user terminal 12, for example. .
- a user who uses the user terminal 12 to use the information processing system 100a according to the embodiment will be simply referred to as a "user.”
- the user inputs attribute information and identification information through a user operation on the user terminal 12.
- the personal information acquisition unit 123 acquires these input attribute information and identification information.
- the attribute information may include information indicating attributes of the user, such as age, gender, height, weight, and place of residence.
- the identification information may be the user's name, or information unique to the user, issued to the user by the information processing system 100a, for example.
- the personal information acquisition unit 123 may further acquire questionnaire indicators regarding the user and include them in the user information of the user.
- the questionnaire index may be, for example, the depression index PHQ-9 (Patient Health Questionnaire-9), the well-being index UWES (Utrecht Work Engagement Scale), or SWLS (Satisfaction With Life Scale).
- the questionnaire index is input into the user terminal 12 by a user operation, for example, and is acquired by the personal information acquisition unit 123.
- the user terminal 12 transmits each piece of information acquired by the biometric information acquisition unit 122 and the personal information acquisition unit 123 to the information processing device 2 as user information.
- the information processing apparatus 2 uses the information holding unit 202 to store and hold the user information transmitted from the user terminal 12 in, for example, a storage device 2003 that the information processing apparatus 2 has.
- FIG. 10 is a schematic diagram showing an example of user information held by the information holding unit 202 according to the embodiment.
- the user information includes the item “ID”, “age”, “gender”, “biomarker #1”, “biomarker #2”, etc., which are associated with the value of the item "ID”. Contains the following items: “Biomarker #N” and "PHQ-9".
- the item “ID” stores a user ID, which is identification information for identifying a user.
- the user ID stored in the item “ID” may be set for each user by the information processing device 2, for example.
- the items “age” and “gender” are the age and gender of the user of the item “ID” and are attribute information of the user.
- Biomarker #1", “Biomarker #2”, ..., “Biomarker #N” are the biometric information of the user of the item "ID", respectively.
- N biomarkers are associated with each item “ID,” but this is not limited to this example.
- each item “ID” may be associated with a different number of biomarkers.
- PHQ-9 indicates the value of the depression index PHQ-9, which is one of the questionnaire indicators of the user of the item "ID”.
- PHQ-9 is indicated by the total value of responses to nine questionnaire items, each with a value of 0 to 3.
- the sharing range setting unit 124 sets the information to be shared with the service provider from among the pieces of information included in the user information held in the information holding unit 202, for example, by user operation. Set accordingly.
- the sharing range setting unit 124 acquires each item of user information acquired by the biometric information acquisition unit 122 and the personal information acquisition unit 123 and transmitted to the information processing device 2.
- the sharing range setting unit 124 causes the user terminal 12 to display a screen for prompting the user to specify, among the items of the acquired user information, items to be allowed to be shared with the service provider. If the user is using services provided by multiple service providers, the sharing range setting unit 124 causes the user terminal 12 to display a screen for prompting the user to specify items to be allowed to be shared for each of the multiple service providers.
- the sharing range setting unit 124 When the sharing range setting unit 124 completes the setting of information to be shared with the service provider, the user terminal 12 stores information in which each item of user information is set with a flag indicating whether sharing is possible (sharing range information for service providers). ) is transmitted to the information processing device 2.
- the sharing range information for service providers corresponds to the above-mentioned user information sharing range that is set by specifying information that is permitted to be shared with the service provider.
- the information processing device 2 stores and holds the service provider sharing range information transmitted from the user terminal 12 in the service provider sharing range holding unit 205.
- the service provider sharing range holding unit 205 is shown as the SP sharing range holding unit 205.
- service provider may be described as "SP”.
- FIG. 11 is a schematic diagram showing an example of service provider sharing range information stored in the service provider sharing range storage unit 205 according to the embodiment.
- section (a) shows an example of service provider sharing range information set for each user for service provider #1 (shown as SP #1 in the figure), and section (b) shows An example of service provider sharing range information set for each user for service provider #2 different from service provider #1 is shown. In this way, service provider sharing range information is held for each service provider.
- Sections (a) and (b) have the same items, so an example of section (a) will be described.
- the service provider sharing range information includes items corresponding to the user information held in the information holding unit 202 shown in FIG.
- a flag "OK” is attached to items that are allowed to be shared with the service provider
- a flag "NG” is attached to items that are not allowed to be shared.
- the flag “abstract” is attached to the item “age” of the user whose item “ID” is the value "002".
- the flag “abstract” indicates that sharing is permitted by abstracting the value of the item. In other words, these flags "OK”, “NG”, and “abstract” can be said to indicate conditions related to sharing of the user information.
- a value may be abstracted by using a value as a general concept without specifically indicating the value.
- the specific age in the case of the item "age”, it is conceivable to indicate the specific age as a representative value of the range, such as “teens", “twenties”, etc.
- the content of the item “Biomarker #1” is "Sleep time”
- the specific sleep time can be indicated as a representative value of the range, "5 hours or more and less than 6 hours", “6 hours or more and less than 7 hours”. ”, etc.
- abstraction may be performed by representing the numerical value as a representative value of the range.
- the access control unit 204 extracts the user information held in the information holding unit 202 based on the service provider sharing range information held in the service provider sharing range holding unit 205. , obtain the information you are authorized to share with the service provider. At this time, the access control unit 204 processes the value of the item to which the flag "abstract" is attached in the shared range information for service providers, and abstracts it as described above. Note that the abstraction method may be determined in advance for each item, for example.
- the access control unit 204 associates each piece of information, including abstracted information, acquired from the information holding unit 202 with the user ID of the corresponding user, and transmits the information to the service provider terminal 6.
- the service provider terminal 6 stores each piece of information transmitted from the access control unit 204 in the information storage unit 602 in association with a user ID that identifies the user.
- FIG. 12 is a flowchart of an example of processing by the access control unit 204 according to the embodiment.
- step S100 the information processing device 2 obtains a request from the service provider terminal 6 for information that the user has authorized to share with the service provider.
- This request may include a user ID that identifies the target user.
- the information processing device 2 passes the obtained request to the access control unit 204.
- the access control unit 204 in response to the request obtained in step S100, selects a user ID that corresponds to the user ID of the target user held in the service provider sharing range holding unit 205 and that is set in step S100.
- the access control unit 204 obtains flags for each item included in the shared range information for service providers obtained in step S102, and selects the obtained flags as "OK", "NG", and "NG”. Determine whether it is "abstract”.
- step S102 the access control unit 204 executes the process of step S103 for the item with the flag "OK” (step S102, "OK").
- step S103 the access control unit 204 transmits the data stored in the relevant item out of the user information related to the user ID of the target user held in the information holding unit 202 to the service provider terminal 6 as is.
- step S102 the access control unit 204 executes the process in step S104 for the items flagged with "NG” (step S102, "NG").
- step S ⁇ b>104 the access control unit 204 does not acquire the data stored in the item in the user information related to the user ID of the target user held in the information holding unit 202 .
- step S102 the access control unit 204 executes the process of step S105 for the item to which the flag "abstract" is attached (step S102, "abstract”).
- step S105 the access control unit 204 selects the data stored in the item from among the user information related to the user ID of the target user held in the information storage unit 202 according to the abstraction method specified in the item. Process and abstract. The access control unit 204 transmits the abstracted data of the item to the service provider terminal 6.
- the service provider terminal 6 stores each data transmitted from the access control unit 204 in steps S103 and S105 in the information storage unit 602 in association with the user ID and each item.
- the intervention module 601 transmits an intervention message to the user terminal 12 of the user with the user ID related to the information, based on the information stored in the information storage unit 602.
- FIG. 13 is a flowchart of an example of processing by the intervention module 601 according to the embodiment.
- step S200 the intervention module 601 acquires data for each user based on the user ID from the data stored in the information storage unit 602.
- the intervention module 601 acquires data such as biomarkers for each user, for example.
- step S201 the intervention module 601 determines an operation to be performed by the intervention module 601 based on the data obtained in step S200.
- the intervention module 601 notifies the target user of the action determined in step S201. More specifically, the intervention module 601 transmits information indicating the action determined in step S201 to the information processing device 2.
- the information processing device 2 passes the information transmitted from the intervention module 601 to the intervention notification unit 200.
- the intervention notification unit 200 transmits the passed information to the user terminal 12 of the target user.
- the user terminal 12 passes the information transmitted from the intervention notification section 200 to the intervention presentation section 120.
- the intervention presentation unit 120 presents the intervention operation by the intervention module 601 to the user using, for example, a screen display.
- the processing by the intervention module 601 will be explained using a specific example.
- a service provider may intervene with a target user using cognitive behavioral therapy for behavioral activation, and encourage the target user to take a predetermined behavior according to the number of steps the target user takes in a day. .
- the intervention module 601 acquires the target user's data from the information storage unit 602 (step S200).
- the acquired data includes the number of steps per day as a biomarker.
- the intervention module 601 determines an intervention action for the target user based on the number of steps per day included in the data (step S201). For example, the intervention module 601 performs a threshold determination on the number of steps per day included in the acquired data of the target user, and determines the action for the target user.
- the intervention module 601 may set a behavioral goal of "walking at least 10,000 steps per day.” Create or obtain a message urging the target user to take a predetermined action, such as "Let's take action!”, and notify the target user (step S202).
- the intervention module 601 may have a message to notify the target user in advance for each number of steps in a day, or may generate it each time using artificial intelligence or the like.
- the intervention module 601 may perform the intervention on the target user using such a rule-based intervention method.
- the operation by the intervention module 601 is not limited to behavioral activation in cognitive behavioral therapy.
- the intervention module 601 may use a chatbot that automatically executes a conversation (chat) via a network using artificial intelligence to have a simulated conversation with the target user, for example.
- the intervention module 601 may also speak to the target user in an appropriate manner that can be inferred from the current biomarker value included in the target user's data.
- the recommended sharing range calculation unit 203 calculates data for inferring the variables set by the recommended sharing range setting unit 600 of the service provider terminal 6 from the data of each item of user information.
- the recommended sharing range calculation unit 203 passes the calculated data to the recommended sharing range notification unit 201.
- the recommended sharing range notification unit 201 transmits the data passed from the recommended sharing range calculation unit 203 to the user terminal 12 as expected sharing range information indicating the expected sharing range that the target user is expected to share.
- the recommended sharing range calculation unit 203 functions as a sharing range acquisition unit that obtains the expected sharing range that the service provider expects to share with respect to user information.
- the recommended sharing range calculation unit 203 and the recommended sharing range notification unit 201 function as a processing unit that transmits the recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to the user terminal corresponding to the user information. .
- the user terminal 12 passes the expected sharing range information transmitted from the recommended sharing range notification unit 201 to the sharing range presentation unit 121. Based on the passed expected sharing range information, the sharing range presentation unit 121 causes the user terminal 12 to display a screen showing items that are expected to be shared among the items included in the user information (biometric information and personal information). , presented to the user.
- FIG. 14 is a flowchart of an example of a method of presenting the expected sharing range according to the embodiment.
- the flowchart in FIG. 14 includes processing of the service provider terminal 6 and processing of the information processing device 2.
- step S300 the service provider terminal 6 uses the recommended sharing range setting unit 600 to determine, for example, a variable to be inferred based on the user information associated with the user ID of the target user, in accordance with instructions from the service provider.
- step S301 the recommended sharing range setting unit 600 transmits information indicating the determined inference target variable to the information processing device 2.
- the information processing device 2 causes the recommended sharing range calculation unit 203 to store, in the information holding unit 202 , according to the information indicating the inference target variable transmitted from the recommended sharing range setting unit 600 .
- a variable to be inferred is calculated based on the user information of the target user.
- the recommended sharing range calculation unit 203 performs supervised learning for each combination of each item included in the user information of each user, using each item as an explanatory variable.
- the recommended sharing range calculation unit 203 calculates the inference accuracy of the variables for each combination using the learning model based on this learning.
- the recommended sharing range calculation unit 203 passes each calculated inference accuracy to the recommended sharing range notification unit 201.
- the recommended sharing range notification unit 201 sends a sharing range to users who are allowed to share each item with combinations with low inference accuracy based on the combinations that each user is currently allowed to share. Send you a notification reminding you to make changes.
- the recommended sharing range notifying unit 201 determines which items each user is permitted to share among the inference accuracies calculated for each combination of items by the recommended sharing range calculation unit 203 in step S302. Extract each inference accuracy for each combination. Based on each of the extracted inference accuracies, the recommended sharing range notification unit 201 allows sharing of combinations of items for which the inference result is lower than the inference result with the highest accuracy among the inference accuracies calculated in step S302. Identify the users who are present. The recommended sharing range notification unit 201 sends a notification to the specified user to prompt the user to change the sharing range to the expected sharing range.
- the service provider has determined an index based on the PHQ-9, which is a depression index, as a variable to be inferred (step S300). Furthermore, based on the calculation results by the recommended sharing range calculation unit 203, the PHQ-9 index with the highest inference accuracy when using a combination of sleep time and the number of steps per day among the various pieces of information included in the user information. It is assumed that the following has been inferred (step S302).
- the recommended sharing range notification unit 201 notifies a user who is sharing each item resulting from a combination of inference accuracy lower than that of this combination, a message urging the user to change the sharing range, along with the reason.
- the recommended sharing range notification unit 201 sends a message urging the user to change the sharing range, such as "To improve the accuracy of PHQ-9, it is better to share your sleep time and daily step count.” It is sent to the user terminal 12 of each target user along with the reason.
- FIG. 15 is a schematic diagram showing an example of an initial screen displayed on the user terminal 12 by the user terminal program according to the embodiment.
- the user terminal 12 causes the display device 1220 to display an initial screen 80.
- the initial screen 80 includes a settings button 800, an intervention message display area 801, and a biomarker value display area 802. Note that each part and layout included in the initial screen 80 are merely examples, and the present invention is not limited to this example.
- the settings button 800 is a button for performing various settings related to the user terminal program. By operating the settings button 800, a sharing range setting screen for setting the sharing range of user information, which will be described later, can be displayed.
- the intervention message display area 801 displays an intervention message output by the intervention module 601 of the service provider terminal 6 and transmitted to the user terminal 12 via the information processing device 2.
- the biomarker value display area 802 for example, a value based on biological information acquired by the sensor 11 is displayed. In the illustrated example, "number of steps (number of steps per day)" and “sleep state (for example, sleep time)" are displayed in the biomarker value display area 802.
- FIG. 16 is a schematic diagram showing an example of a sharing range setting screen according to the embodiment.
- the sharing range setting screen 82 shown in FIG. 16 is displayed by, for example, the sharing range setting unit 124 on the user terminal 12 in response to an operation on the setting button 800.
- the sharing range setting screen 82 is shown for setting the sharing range of user information for service provider #1.
- the sharing range setting unit 124 may display a screen for specifying which service provider's sharing range is to be displayed on the sharing range setting screen 82, for example, in response to an operation on the setting button 800.
- the sharing range setting screen 82 is provided with flag setting units 820a to 820d that set flags indicating whether sharing is possible or abstracted for each item included in the user information.
- flag setting units 820a, 820b, 820c, and 820d respectively set the items “age” and “gender” based on personal information included in the user information, and the items “step count” and “number of steps” based on biometric information (biomarker).
- a flag is set for each item of "sleep time" to indicate whether it can be shared or abstracted.
- the display in FIG. 16 is an example, and the sharing range setting screen 82 may include more flag setting sections. Furthermore, if all flag setting sections cannot be displayed within the display range of the shared range setting screen 82, the flag setting sections that cannot be displayed may be displayed by switching or scrolling the screen.
- Each of the flag setting sections 820a to 820d includes a switch section 821 having a knob 822, respectively.
- the switch unit 821 when a knob 822 is moved to the left by a user operation, sharing of the corresponding item is disabled, and when the knob 822 is shifted to the right, sharing of the corresponding item is set to be allowed.
- each of the flag setting units 820a to 820d may be provided with an operator for permitting sharing when abstracted, as will be described later.
- a portion other than the switch section 821 (referred to as a background section) can be operated by a user operation. If sharing of the item corresponding to the flag setting section whose background part has been operated is set to be disabled, and sharing is encouraged by the service provider for the item, the sharing range setting section 124 sends a recommended sharing range notification. A message that prompts the change of the sharing range notified from the section 201 is displayed along with the reason at a position corresponding to the flag setting section.
- the information processing device 2 may hold, in the inference target value holding unit 206, a value that is the target of inference at the service provider terminal 6 (referred to as an inference target value).
- the information processing device 2 acquires the inference target value from the recommended sharing range calculation unit 203, stores it in the inference target value storage unit 206, and holds it.
- FIG. 17 is a schematic diagram showing an example of an inference target value table in which the inference target value holding unit 206 according to the embodiment holds inference target values.
- the inference target value table stores flags indicating whether or not each inference target value is to be inferred for each service provider indicated by SP#1, SP#2, ..., SP#K. Ru.
- subjective evaluation values such as "PHQ-9” and "GAD7 (Generalized Anxiety Disorder -7)" may be applied, or values that estimate the degree of improvement such as "increase in sleep amount” may be applied. good.
- the inference target value table stores a flag "Yes” indicating that the service provider (SP#1) has set “PHQ-9” and “increase in sleep amount” as inference target values, and " A flag “No” indicating that "GAD7” is not the inference target value is stored.
- a flag "No” is stored for "PHQ-9” and "GAD7”
- a flag "Yes” is stored for "increase in sleep amount”.
- the information processing device 2 may transmit the inference target value table stored in the inference target value holding unit 206 to the user terminal 12.
- the user terminal 12 may present the inference target table to the user using, for example, a screen configured as described using FIG. 16.
- each of the flag setting units 820a to 820d in FIG. 16 is used as a setting unit that sets a flag indicating whether or not to perform inference using each inference target value.
- the flag setting section 820a is "PHQ-9”
- the flag setting section 820b is "GAD7”
- the flag setting section 820c is "increase in sleep amount", etc.
- the setting section sets whether or not to perform inference based on the above.
- the user terminal 12 can visualize and present to the user which service provider the user is allowed to share which item, which item is allowed, not allowed, or in the case of abstraction. I can do it.
- FIG. 18 is a schematic diagram showing an example of a sharing status visualization screen that visualizes the sharing status of users with service providers for each service provider, according to the embodiment.
- the user terminal 12 acquires service provider sharing range information held by the service provider sharing range holding unit 205 from the information processing device 2 .
- the sharing range setting unit 124 displays a sharing status visualization screen 83 shown in FIG. 18 based on the acquired service provider sharing range information.
- each column indicates service provider #1, #2, ..., #N (shown as SP#1, SP#2, ..., SP#N in the figure), and each row indicates Each item included in the user information is shown. Note that in each item, the biomarker is indicated as "BM”.
- an area 830 displays the sharing status for the items shown in the row direction for the service providers shown in the column direction.
- a display 831 shows the status of whether the item can be shared.
- the display 831 indicates "OK” to indicate permission, "NG” to disallow, and "ABST" to indicate permission when abstracted.
- area 830 includes a switch section 832 having a knob 833 and a check box 834. Similar to the sharing range setting screen 82 shown in FIG. 16, the switch section 832 allows the user to move the knob 833 to the left to disable sharing of the corresponding item, and to shift the knob 833 to the right to disable sharing of the corresponding item. are set to permission respectively.
- the check box 834 is unchecked by a user operation while the knob 833 is shifted to the right, the item is set to permit sharing when the item is abstracted. It is preferable that the check box 834 be made operable when the knob 833 is shifted to the right, for example, to prevent erroneous operation.
- This check box 834 may be applied to the sharing range setting screen 82 shown in FIG. 16.
- the recommended sharing range calculation unit 203 calculated the inference accuracy for all combinations of items.
- the service provider does not perform inference based on each item, but instead prepares a plurality of sets of recommended sharing ranges along with the reasons for the sets.
- FIG. 19 is an example flowchart showing processing according to the first modification of the embodiment.
- the recommended sharing range setting unit 600 in the service provider terminal 6 sets one or more combinations of items included in the user information that are recommended for sharing. Examples of combinations set by the recommended sharing range setting unit 600 include user information items such as "number of steps per day,” “age,” and "REM sleep time.”
- the recommended sharing range setting unit 600 sets a reason for recommending the sharing of the combination set in step S400, for the combination. Possible reasons include, for example, "I wish to share the information for research use.”
- the recommended sharing range setting unit 600 transmits each set combination to the information processing device 2.
- the information processing device 2 passes each combination transmitted from the recommended sharing range setting unit 600 to the recommended sharing range notification unit 201 via the recommended sharing range calculation unit 203.
- the recommended sharing range notification unit 201 transmits each combination passed from the recommended sharing range calculation unit 203 to each user terminal 12.
- Each user terminal 12 displays each combination transmitted from the recommended sharing range notification unit 201 using, for example, the sharing range presentation unit 121.
- the user can specify a desired combination from one or more combinations displayed on the user terminal 12.
- the user terminal 12 transmits the specified combination to the information processing device 2 from the sharing range setting unit 124, for example.
- the information processing device 2 updates the information stored in the SP sharing range storage unit 205, for example, based on the combination transmitted from the user terminal 12.
- the service provider sets a plurality of combinations of items included in user information that are recommended for sharing.
- the service provider specifies one variable (for example, PHQ-9) to be inferred.
- One inference target variable is inferred using each of the plurality of set combinations recommended for sharing, and inference accuracy is calculated for each. The inference accuracy of each combination is presented to the user, and the user is prompted to change the sharing range.
- FIG. 20 is a flowchart of an example of processing according to the second modification of the embodiment.
- the recommended sharing range setting unit 600 in the service provider terminal 6 sets a plurality of recommended sharing combinations for items included in the user information.
- the recommended sharing range setting unit 600 specifies one variable to be inferred.
- the recommended sharing range setting unit 600 transmits the plurality of combinations recommended for sharing set in step S600 and the inference target variable specified in step S601 to the information processing device 2.
- the information processing device 2 passes the plurality of combinations and one inference target variable sent from the recommended sharing range setting unit 600 to the recommended sharing range calculation unit 203.
- the recommended sharing range calculation unit 203 specifies in the recommended sharing range setting unit 600 based on the combination in which the target user shares items with the service provider, that is, the sharing range. Infer the variables to be inferred and calculate the inference accuracy. In addition, the recommended sharing range calculation unit 203 infers variables to be inferred based on each of the combinations recommended for sharing set by the recommended sharing range setting unit 600, and calculates inference accuracy for each. The recommended sharing range calculation unit 203 compares the inference accuracy calculated based on the combinations in which the target users share items with each inference accuracy calculated based on each of the plurality of combinations for which sharing is recommended.
- the recommended sharing range notification unit 201 calculates the inference accuracy calculated based on the combinations in which the target users share items compared in step S412 and each of the multiple combinations recommended for sharing. Each inference accuracy calculated based on the information is transmitted to the user terminal 12 and presented to the user.
- the recommended sharing range notification unit 201 sends a message urging the user to change the combination of currently shared items, that is, the sharing range, along with the reason, to the user terminal 12, and notifies the user.
- the recommended sharing range setting unit 600 specifies, for example, three combinations of items that are recommended for sharing: set A, set B, and set C, as illustrated below (step S410).
- Set A “Number of steps per day”, “Sleep time”
- Set B “Number of steps per day”, “Sleep time”, “REM sleep time”
- C set "Age”, "Number of steps per day”, “Sleep time”, “REM sleep time”
- the recommended sharing range setting unit 600 specifies, for example, "PHQ-9" as a variable to be inferred (step S411).
- the recommended sharing range calculation unit 203 infers variables to be inferred for each of the A set, B set, and C set, and the sharing range that the user currently allows sharing, and calculates the inference accuracy for each.
- each inference accuracy is calculated as shown in (1) to (4) below. Note that in the following, inference accuracy is shown as a value of AUC (Area Under the Curve).
- AUC of the sharing range that the user is currently allowed to share 0.5
- AUC of set A 0.6
- AUC of B set 0.9
- AUC of C set 0.6
- the recommended sharing range notification unit 201 transmits each of the values (1) to (4) described above to the user terminal 12.
- the user terminal 12 presents each of these values (1) to (4) using the sharing range presentation unit 121, and displays a message prompting the user to change the sharing range.
- (3) the AUC of set B is the highest value
- (1) the AUC of the sharing range that the user is currently permitted to share is lower than each AUC of sets A to C.
- the sharing range presentation unit 121 displays a message prompting the user to change the sharing range that is currently permitted to be shared to a combination of set B, along with the reason.
- the user terminal 12 may directly set the combination of B sets that are prompted to be changed as the sharing range.
- the user terminal 12 is not limited to this, and in response to the above-mentioned message, among the items included in the combination of set B that is prompted to change, only the items that are not included in the current sharing range are added to the current sharing range. You may also add it to your account and change it to shareable. For example, consider three items: “sleep time”, “number of steps per day”, and "REM sleep time”. It is assumed that the user has allowed only "sleep time” to be shared among these. On the other hand, set B includes "number of steps per day” and "REM sleep time”. In this case, since the user has already allowed sharing of "sleep time,” “number of steps per day” and “REM sleep time” are added and allowed to be shared.
- the user terminal 12 it is preferable for the user terminal 12 to present the sets A to C in the order in which the recommended sharing range indicated by the set is closest to the current sharing range, as this facilitates the user's selection of the set.
- the information processing system 100a includes the following functions (A) to (F).
- the information processing system 100a holds user information including the user's personal information and biometric information in the information processing device 2, which is a server on the network N or cloud network CL.
- the information processing system 100a defines a service provider that uses the information processing system 100a, and the information that the user shares with the service provider out of each piece of information included in the user information is shared with the service provider.
- the information processing device 2 holds SP sharing range information that is managed on a per-unit basis.
- the information processing system 100a has a function of notifying the user of the recommended sharing range based on information that the service provider recommends the user to share, as the expected sharing range that the user is expected to share. are doing.
- the information processing system 100a has a recommended sharing range calculation function that calculates a recommended sharing range based on user information.
- the recommended sharing range calculation function also has a function of presenting the reason for the calculated recommended sharing range (benefits obtained by the user).
- the information processing system 100a has a function of visualizing, on the user terminal 12 of the user, which information of the user information is shared with which service provider by the user.
- the information processing system 100a when a user determines a sharing range indicating information to be shared with a service provider among user information, from a plurality of recommended sharing ranges, the information processing system 100a selects the recommended sharing range along with the reason. It has a function to present the items in order of closest to the current sharing range.
- the information processing system 100a uses the functions (A), (B), and (E) described above to enable the user to know which information of his/her own user information is shared with which service provider. Can be presented clearly.
- the information processing system 100a can present to the user the benefits obtained by sharing information with a service provider by using the functions (A) to (D) described above.
- the information processing system 100a presents the recommended sharing range and the reason for sharing to the user using the functions (A) to (D) and (F) described above. Therefore, the information processing system 100a can encourage the user to share information included in the user information with the service provider, thereby providing better services to the user. In addition, service providers can conduct more accurate analysis by having users share information.
- the information processing system 100a according to the embodiment, it is possible to easily set the sharing range of user information including biometric information.
- the present technology can also have the following configuration.
- a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information; a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information; an information processing device comprising; a display control unit that displays the recommended sharing range on a display unit;
- the user terminal comprising: information processing systems, including
- the information processing device includes: a user information storage unit that stores the user information; Furthermore, The processing unit includes: In response to a request from the vendor, the user information is acquired from the user information storage unit based on a user information sharing range in which information that is permitted to be shared among the user information is specified by the user corresponding to the user information.
- the information processing device includes: a sharing range storage unit that stores the user information sharing range set by the user for each of the above mentioned traders in association with the above mentioned traders; further comprising, The information processing system according to (2) above.
- the processing unit includes: If the condition is added to the user information sharing range, processing the user information acquired based on the user information sharing range and transmitting it to the vendor terminal; The information processing system according to (2) or (3) above.
- the conditions include abstraction of the user information; The information processing system according to (4) above.
- the processing unit includes: Calculating the inference accuracy when inferring the inference target variable based on the inference target variable obtained from the vendor terminal and the user information corresponding to the user information sharing range; The information processing system according to any one of (2) to (5) above.
- the processing unit includes: calculating the inference accuracy for each of the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal; The information processing system according to (6) above.
- the processing unit includes: If the inference accuracy is less than or equal to a predetermined value, transmitting a notification to the user terminal to prompt a change in the user information sharing range; The information processing system according to (6) or (7) above.
- the processing unit includes: transmitting the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal to any of the user terminals; The information processing system according to any one of (2) to (5) above.
- the display control section includes: setting information that allows sharing of the user information in the user information sharing range according to a user operation on the user terminal; The information processing system according to any one of (2) to (9) above.
- the display control section includes: displaying the user information sharing range set according to the user operation; The information processing system according to (10) above.
- the display control section includes: displaying, for each of the above-mentioned vendors, which information is permitted to be shared among the various pieces of information included in the user information; The information processing system according to any one of (2) to (11) above.
- the display control section includes: Setting which information included in the user information is permitted to be shared for each of the above-mentioned businesses according to a user operation; The information processing system according to any one of (2) to (12) above. (14) The display control section includes: adding conditions to the permission to share the information in response to a user operation; The information processing system according to any one of (10) to (13) above. (15) The display control section includes: updating the user information sharing range based on the recommended sharing range; The information processing system according to any one of (2) to (14) above. (16) The display control section includes: selecting one recommended sharing range from among the plurality of recommended sharing ranges by the one vendor transmitted from the information processing device according to a user operation; The information processing system according to any one of (1) to (15) above.
- the user information is including identification information for identifying the user corresponding to the user information, and biometric information and attribute information of the user;
- the information processing system according to any one of (1) to (16) above.
- the user terminal is acquiring the biometric information from at least one of a wearable terminal that can communicate with the user terminal and the user terminal;
- the information processing system according to (17) above.
- a sharing range acquisition step in which the information processing device acquires an expected sharing range in which the business operator expects the user information to be shared from a business terminal corresponding to the business operator; a processing step in which the information processing device transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information; a display control step in which the user terminal displays a recommended sharing range on a display unit; has, Information processing method.
- a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information
- a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information
- An information processing device comprising: (21) a display control unit that performs display on the display unit; Equipped with The display control section includes: Displaying the recommended sharing range in which sharing is calculated based on the expected sharing range in which the operator expects the user information to be shared, which is acquired by the information processing device from the operator terminal corresponding to the operator. to be displayed in the User terminal.
- Information processing device 6 Service provider terminal 12 User terminal 80 Initial screen 82 Sharing range setting screen 100, 100a Information processing system 120 Intervention presentation unit 121 Sharing range presentation unit 122 Biological information acquisition unit 123 Personal information acquisition unit 124 Sharing range setting unit 200 Intervention notification unit 201 Recommended sharing range notification unit 202 Information holding unit 203 Recommended sharing range calculation unit 204 Access control unit 205 Service provider sharing range holding unit 206 Inference target value holding unit 600 Recommended sharing range setting unit 601 Intervention module 602 Information storage unit 800 Setting button 801 Intervention message display area 802 Biomarker value display area 820a, 820b, 820c, 820d Flag setting section 821, 832 Switch section 822, 833 Knob 834 Check box
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Bioethics (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
An information processing system, according to the present disclosure, includes: an information processing device comprising a shared range acquisition unit that acquires an expected shared range for which a business expects to share user information, and a processing unit that transmits, to a user terminal corresponding to the user information, a recommended shared range for which sharing is recommended and which is calculated on the basis of the expected shared range; and the aforementioned user terminal that comprises a display control unit which displays the recommended shared range.
Description
本開示は、情報処理システムおよび情報処理方法、ならびに、情報処理装置およびユーザ端末に関する。
The present disclosure relates to an information processing system and an information processing method, as well as an information processing device and a user terminal.
ユーザの生体情報を検出するバイタルセンサが知られている。また、近年では、バイタルセンサを用いて検出された生体情報に基づき、ユーザの疾病を予測する技術の開発が進められている。
Vital sensors that detect a user's biological information are known. Furthermore, in recent years, technology has been developed to predict a user's illness based on biological information detected using a vital sensor.
ユーザの生体情報は、機微データであることが多く、例えばバイタルセンサを有するウェアラブルデバイスから取得された生体情報は、機密状態を保って保持される必要がある。特許文献1には、ユーザの生体情報を第三者と共有する場合に、共有する生体情報に制限をかけるようにした技術が開示されている。
A user's biometric information is often sensitive data, and for example, biometric information obtained from a wearable device with a vital sensor needs to be kept confidential. Patent Document 1 discloses a technique in which, when a user's biometric information is shared with a third party, restrictions are placed on the biometric information to be shared.
しかしながら、従来では、ユーザは、自身の生体情報について、生体情報の共有先である第三者ごとにどういった情報が共有されているかを適切に知る方法が無かった。また、従来では、生体情報に含まれる各情報のうち第三者と共有する情報を直感的に設定することができなかった。
However, conventionally, users have not had a way to appropriately know what kind of information about their own biometric information is shared with each third party with whom the biometric information is shared. Furthermore, conventionally, it has not been possible to intuitively set the information to be shared with a third party out of each piece of information included in the biometric information.
本開示は、生体情報を含むユーザの情報の共有範囲を容易に設定可能とする情報処理システムおよび情報処理方法、ならびに、情報処理装置およびユーザ端末を提供することを目的とする。
The present disclosure aims to provide an information processing system and an information processing method, as well as an information processing device and a user terminal, which make it possible to easily set the sharing range of user information including biometric information.
本開示に係る情報処理システムは、ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、を備える情報処理装置と、前記推奨共有範囲を表示部に表示する表示制御部、を備える前記ユーザ端末と、を含む。
The information processing system according to the present disclosure includes a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information, and recommended sharing that is recommended to be shared, calculated based on the expected sharing range. The information processing apparatus includes a processing unit that transmits the range to a user terminal corresponding to the user information, and the user terminal includes a display control unit that displays the recommended sharing range on a display unit.
以下、本開示の実施形態について、図面に基づいて詳細に説明する。なお、以下の実施形態において、同一の部位には同一の符号を付することにより、重複する説明を省略する。
Hereinafter, embodiments of the present disclosure will be described in detail based on the drawings. Note that in the following embodiments, the same portions are given the same reference numerals, and redundant explanation will be omitted.
以下、本開示の実施形態について、下記の順序に従って説明する。
1.本開示の技術の概要
1-1.既存技術について
1-2.本開示に係る情報処理システムについて
1-3.本開示に適用可能なシステム
2.本開示の実施形態
2-1.実施形態に係る情報処理システムの構成例
2-2.実施形態に係る情報処理システムによる処理の詳細
2-3.実施形態に係る表示例
3.実施形態の第1の変形例
4.実施形態の第2の変形例
5.まとめ Hereinafter, embodiments of the present disclosure will be described in the following order.
1. Overview of the technology of the present disclosure 1-1. Regarding existing technology 1-2. Regarding the information processing system related to this disclosure 1-3. System applicable to thepresent disclosure 2. Embodiments of the present disclosure 2-1. Configuration example of information processing system according to embodiment 2-2. Details of processing by information processing system according to embodiment 2-3. Display example 3 according to the embodiment. First modification of the embodiment 4. Second modification of the embodiment 5. summary
1.本開示の技術の概要
1-1.既存技術について
1-2.本開示に係る情報処理システムについて
1-3.本開示に適用可能なシステム
2.本開示の実施形態
2-1.実施形態に係る情報処理システムの構成例
2-2.実施形態に係る情報処理システムによる処理の詳細
2-3.実施形態に係る表示例
3.実施形態の第1の変形例
4.実施形態の第2の変形例
5.まとめ Hereinafter, embodiments of the present disclosure will be described in the following order.
1. Overview of the technology of the present disclosure 1-1. Regarding existing technology 1-2. Regarding the information processing system related to this disclosure 1-3. System applicable to the
(1.本開示の技術の概要)
本開示は、ユーザの健康管理を補助するヘルスケアアプリケーションにおける、ユーザ情報を第三者と共有する際のデータ共有範囲の提示方法に関する。第三者は、例えば、当該ヘルスケアアプリケーションによるサービスをユーザに提供する事業者を適用してよい。以下では、当該事業者を、適宜、サービスを提供する者としてサービスプロバイダ(SP)と呼ぶ。サービスプロバイダは、個人、法人、特定の団体などであってよい。また、ユーザ情報は、ユーザを識別する識別情報と、当該ユーザの属性情報と、当該ユーザから取得された生体情報とを含んでよい。 (1. Overview of technology disclosed herein)
The present disclosure relates to a method for presenting the scope of data sharing when sharing user information with a third party in a healthcare application that assists user health management. The third party may be, for example, a business operator that provides services to users using the healthcare application. Hereinafter, the business operator will be referred to as a service provider (SP) as a service provider. A service provider may be an individual, a corporation, a specific organization, etc. Further, the user information may include identification information that identifies the user, attribute information of the user, and biometric information acquired from the user.
本開示は、ユーザの健康管理を補助するヘルスケアアプリケーションにおける、ユーザ情報を第三者と共有する際のデータ共有範囲の提示方法に関する。第三者は、例えば、当該ヘルスケアアプリケーションによるサービスをユーザに提供する事業者を適用してよい。以下では、当該事業者を、適宜、サービスを提供する者としてサービスプロバイダ(SP)と呼ぶ。サービスプロバイダは、個人、法人、特定の団体などであってよい。また、ユーザ情報は、ユーザを識別する識別情報と、当該ユーザの属性情報と、当該ユーザから取得された生体情報とを含んでよい。 (1. Overview of technology disclosed herein)
The present disclosure relates to a method for presenting the scope of data sharing when sharing user information with a third party in a healthcare application that assists user health management. The third party may be, for example, a business operator that provides services to users using the healthcare application. Hereinafter, the business operator will be referred to as a service provider (SP) as a service provider. A service provider may be an individual, a corporation, a specific organization, etc. Further, the user information may include identification information that identifies the user, attribute information of the user, and biometric information acquired from the user.
(1-1.既存技術について)
ここで、理解を容易とするため、本開示に関連する既存技術について説明する。 (1-1. Regarding existing technology)
Here, for ease of understanding, existing technology related to the present disclosure will be described.
ここで、理解を容易とするため、本開示に関連する既存技術について説明する。 (1-1. Regarding existing technology)
Here, for ease of understanding, existing technology related to the present disclosure will be described.
特に働き盛りの世代において、精神疾患は社会的な問題である。精神疾患は、心の病であり、高血圧や、糖尿病などとは異なり、定量的な検査値となって得られるような検査を行うことができない。その一方で、ストレスや、うつ病のなどの精神疾患の状態を、活動量計などを用いて定量化しようとする研究が盛んに行われている。
Mental illness is a social problem, especially among the working generation. Psychiatric diseases are illnesses of the mind, and unlike hypertension, diabetes, etc., it is not possible to perform tests that can provide quantitative test values. On the other hand, much research is being conducted to quantify the state of stress and mental illnesses such as depression using activity monitors and the like.
例えば、非特許文献1(Yuri Rykov, 他4名,"Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling",[online],令和3年10月15日,JMIR mHealth and uHealth ISSN 2291-5222,[令和4年4月21日検索],インターネット,<https://mhealth.jmir.org/2021/10/e24872>)では、活動量計の11のデジタルバイオマーカデータから、抑うつ度の重症度と有意に関連していることが示唆されている。このように、各バイオマーカの値が抑うつ度との相関があるということが示されているという背景から、これらのバイオマーカに沿った個別化医療の提供ができるとされている。
For example, Non-Patent Document 1 (Yuri Rykov, 4 others, "Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling", [online], October 15, 2021, JMIR mHealth and uHealth ISSN 2291-5222, [searched on April 21, 2020], Internet, <https://mhealth.jmir.org/2021/10/e24872>) provides data on 11 digital biomarkers of activity trackers. This suggests that there is a significant relationship with the severity of depression. In this way, it has been shown that the value of each biomarker has a correlation with the degree of depression, and it is said that it is possible to provide personalized medical care based on these biomarkers.
これらバイオマーカなどの生体情報は、機微データであることが多い。そのため、例えばウェアラブルデバイスなどから取得される生体情報データは、機密状態を保って保持される必要がある。
Biological information such as these biomarkers is often sensitive data. Therefore, biometric information data obtained from, for example, a wearable device needs to be kept confidential.
一方で、上述のように、デジタルバイオマーカなどの研究が進んできており、ユーザ情報の適切な公開が求められている。しかしながら、従来では、生体情報を含むユーザ情報の公開(あるいは第三者に対する共有)の範囲の決定について、どの程度公開したらよいかを、ユーザが直感的に操作可能な手段が提供されていなかった。すなわち、従来では、ユーザは、ユーザ情報を公開および提供するための簡易な方法や、ユーザ情報の公開および提供により得られる便益などに基づく直感的な操作により、ユーザ情報の公開範囲を決定することが極めて困難であった。また、従来では、ユーザは、どのサービスプロバイダがユーザ情報に含まれる何れの情報を利用しているかを、直感的に把握することが極めて困難であった。
On the other hand, as mentioned above, research on digital biomarkers and the like is progressing, and appropriate disclosure of user information is required. However, in the past, there was no provision for users to intuitively control the extent to which user information, including biometric information, should be disclosed (or shared with third parties). . In other words, conventionally, users have been able to determine the scope of disclosure of user information using simple methods for disclosing and providing user information, and intuitive operations based on the benefits obtained from disclosing and providing user information. was extremely difficult. Furthermore, conventionally, it has been extremely difficult for users to intuitively understand which service provider is using which information included in the user information.
本開示では、これらの従来技術における課題に対する解決方法を提案する。
The present disclosure proposes a solution to the problems in these conventional techniques.
(1-2.本開示に係る情報処理システムについて)
次に、本開示に係る情報処理システムについて、概略的に説明する。 (1-2. Information processing system related to this disclosure)
Next, an information processing system according to the present disclosure will be schematically described.
次に、本開示に係る情報処理システムについて、概略的に説明する。 (1-2. Information processing system related to this disclosure)
Next, an information processing system according to the present disclosure will be schematically described.
本開示に係る情報処理システムにおいて、ユーザは、ユーザ情報に含まれる各情報のうち、サービスプロバイダに対して共有を許可する情報を指定し、ユーザ情報共有範囲を設定する。ユーザ情報およびユーザ情報共有範囲は、本開示に係るサーバに保持および管理される。サーバは、サービスプロバイダからの要求に応じて、ユーザ情報に基づき、例えばユーザの健康状態の指標となる変数を推論できる。このとき、サーバは、ユーザ情報のうち、ユーザ情報共有範囲において共有が許可された情報を用いて、当該変数を推論する。
In the information processing system according to the present disclosure, the user specifies information included in the user information that is permitted to be shared with the service provider, and sets the user information sharing range. User information and user information sharing range are held and managed by the server according to the present disclosure. Based on the user information, the server can infer variables that are indicative of the user's health status, for example, in response to a request from the service provider. At this time, the server infers the variable using information that is permitted to be shared within the user information sharing range among the user information.
サーバは、サービスプロバイダからの要求に応じて、ユーザ情報共有範囲として共有を推奨する推奨共有範囲をユーザに提示してよい。推奨共有範囲は、サーバに保持されているユーザ情報に含まれる各情報のうち、共有が推奨される1以上の情報の組み合わせであってよい。推奨共有範囲は、サービスプロバイダにおいて手動で指定してもよいし、疾患や気分判定などのアルゴリズムにより識別を行った結果、好ましいと考えられる説明変数に基づき指定してもよい。
In response to a request from a service provider, the server may present to the user a recommended sharing range that recommends sharing as the user information sharing range. The recommended sharing range may be a combination of one or more pieces of information that are recommended to be shared among the pieces of information included in the user information held in the server. The recommended sharing range may be specified manually by the service provider, or may be specified based on explanatory variables that are considered preferable as a result of identification using algorithms such as disease and mood determination.
また、サーバは、ユーザがどのサービスプロバイダにユーザ情報に含まれるどの情報をユーザ情報共有範囲として共有するかを示すテーブルを保持してよい。サーバは、当該テーブルを参照して、ユーザに対して、ユーザ情報共有範囲において共有する情報を、サービスプロバイダごとに可視化して提示してよい。
Additionally, the server may maintain a table indicating which service provider the user shares which information included in the user information as the user information sharing range. The server may refer to the table to visualize and present to the user information to be shared within the user information sharing range for each service provider.
さらに、サーバは、ユーザにより指定されたユーザ情報共有範囲に対して複数の推奨共有範囲を、理由を付して提示してよい。推奨共有範囲に付される理由は、例えばその推奨共有範囲を適用することでユーザが得られる便益であってよい。ユーザは、提示された複数の推奨共有範囲から、適切と考えられる推奨共有範囲を選択し、選択された推奨共有範囲に基づき当該ユーザにより指定されたユーザ情報共有範囲を変更してよい。
Furthermore, the server may present a plurality of recommended sharing ranges with reasons for the user information sharing range specified by the user. The reason given to the recommended sharing range may be, for example, the benefit that the user can obtain by applying the recommended sharing range. The user may select a recommended sharing range that is considered appropriate from the plurality of recommended sharing ranges presented, and change the user information sharing range specified by the user based on the selected recommended sharing range.
本開示に係る技術では、上述したような構成を有するため、生体情報を含むユーザの情報の第三者に対する共有範囲の設定を容易とすることが可能となる。
Since the technology according to the present disclosure has the above-described configuration, it is possible to easily set the sharing range of user information including biometric information with a third party.
(1-3.本開示に適用可能なシステム)
次に、理解を容易とするため、本開示に適用可能なシステムについて、図1~図6を用いて説明する。 (1-3. System applicable to this disclosure)
Next, for ease of understanding, a system applicable to the present disclosure will be described using FIGS. 1 to 6.
次に、理解を容易とするため、本開示に適用可能なシステムについて、図1~図6を用いて説明する。 (1-3. System applicable to this disclosure)
Next, for ease of understanding, a system applicable to the present disclosure will be described using FIGS. 1 to 6.
図1は、本開示に適用可能な情報処理システムの概略構成の例を示す図である。
FIG. 1 is a diagram illustrating an example of a schematic configuration of an information processing system applicable to the present disclosure.
図1において、本開示適用可能な情報処理システム100は、情報取得装置1と、情報処理装置2と、1つ以上の端末とを含む。図1の例では、端末として、医療従事者端末3、コミュニティメンバー端末4、生保/健保端末5、サービスプロバイダ端末6および分析端末7が示される。情報処理装置2は、本開示に係るサーバとして機能する。また、図1において、情報処理システム100のユーザを、ユーザUと称し図示する。サービスプロバイダ端末6は、ユーザUに対して製品やサービスを提供する事業者としてのサービスプロバイダが使用する事業者端末である。
In FIG. 1, an information processing system 100 to which the present disclosure is applicable includes an information acquisition device 1, an information processing device 2, and one or more terminals. In the example of FIG. 1, a medical worker terminal 3, a community member terminal 4, a life insurance/health insurance terminal 5, a service provider terminal 6, and an analysis terminal 7 are shown as terminals. The information processing device 2 functions as a server according to the present disclosure. Further, in FIG. 1, a user of the information processing system 100 is referred to as a user U. The service provider terminal 6 is a business terminal used by a service provider that provides products and services to the user U.
情報処理システム100に含まれる各装置および端末は、インターネットなどのネットワークNを介して通信可能に構成される。図1の例では、情報処理装置2は、ネットワークNに対して接続されるクラウドネットワークCLに含まれるものとして示されている。クラウドネットワークCLは、ネットワークで互いに通信可能に接続された複数のコンピュータおよびストレージ装置を含み、コンピュータ資源をサービスの形で提供可能としたネットワークである。
Each device and terminal included in the information processing system 100 is configured to be able to communicate via a network N such as the Internet. In the example of FIG. 1, the information processing device 2 is shown as being included in a cloud network CL connected to a network N. The cloud network CL is a network that includes a plurality of computers and storage devices that are communicably connected to each other via a network, and that can provide computer resources in the form of services.
情報処理装置2は、クラウドネットワークCL上の構成に限定されず、ネットワークNに接続される単独のハードウェアにより構成してもよいし、互いに通信可能に接続された複数のコンピュータにより、機能を分散させて構成してもよい。
The information processing device 2 is not limited to the configuration on the cloud network CL, but may be configured with a single piece of hardware connected to the network N, or the information processing device 2 may be configured with multiple computers connected to each other so as to be able to communicate with each other, distributing functions. It may also be configured by
ユーザUは、疾患を有する患者であってよい。疾患の例は、神経性疾患、筋変性疾患、心血管疾患、精神疾患、糖尿病、免疫・アレルギー疾患、高齢者特有の疾患等であり、より具体的には、パーキンソン病、筋ジストロフィー、小脳変性疾患、筋萎縮性側索硬化症(ALS)、不整脈、心不全、高血圧、うつ病、認知症、睡眠障害、喘息、花粉症、サルコペニア・フレイル等である。ユーザUは、疾患を有する患者に限定されない。例えば、ユーザUは、疾患等を有さない健常者であってもよい。
User U may be a patient with a disease. Examples of diseases include neurological diseases, muscular degenerative diseases, cardiovascular diseases, psychiatric diseases, diabetes, immune/allergic diseases, and diseases specific to the elderly, and more specifically, Parkinson's disease, muscular dystrophy, and cerebellar degenerative diseases. , amyotrophic lateral sclerosis (ALS), arrhythmia, heart failure, hypertension, depression, dementia, sleep disorders, asthma, hay fever, sarcopenia/frailty, etc. User U is not limited to a patient with a disease. For example, the user U may be a healthy person without any disease or the like.
情報取得装置1は、センサ11と、ユーザ端末12とを含む。センサ11は、ユーザUに対して設けられる。センシングデータは、特定の時点でのデータであってもよいし、時系列データであってもよい。センサ11は、ユーザUの身体に取り付けられるウェアラブルセンサ等であってもよいし、ユーザUを撮像したりユーザUの音を検出したりする後述の撮像センサ(例えば見守りカメラ)、集音センサ(例えばスマートスピーカの集音部)であってもよい。センサ11が取り付けられるユーザUの身体の部位として、手首Ua、前腕Ub、上腕Uc、首Ud、腰Ue、大腿Uf、胸Ug、指Uh、顔Ui(目、口等)および耳Ujが符号を付して例示される。
The information acquisition device 1 includes a sensor 11 and a user terminal 12. Sensor 11 is provided for user U. The sensing data may be data at a specific point in time or may be time-series data. The sensor 11 may be a wearable sensor attached to the body of the user U, or may be an image sensor (for example, a monitoring camera), which will be described later, that captures an image of the user U or detects the sound of the user U, or a sound collection sensor ( For example, it may be a sound collection section of a smart speaker). The body parts of the user U to which the sensor 11 is attached include the wrist Ua, forearm Ub, upper arm Uc, neck Ud, waist Ue, thigh Uf, chest Ug, finger Uh, face Ui (eyes, mouth, etc.), and ear Uj. Illustrated with .
図2は、本開示に適用可能なセンサ11およびセンシングデータの例を示す模式図である。センサ11として、加速度センサ、角速度センサ、位置センサ、撮像センサ、集音センサおよびバイタルセンサが例示される。これらのセンサとして、種々の公知のセンサが用いられてよい。
FIG. 2 is a schematic diagram showing an example of the sensor 11 and sensing data applicable to the present disclosure. Examples of the sensor 11 include an acceleration sensor, an angular velocity sensor, a position sensor, an image sensor, a sound collection sensor, and a vital sensor. Various known sensors may be used as these sensors.
加速度センサは、加速度を検出する。角速度センサのセンシングデータを、加速度データと称する。角速度センサは、ジャイロセンサ等とも称され、角速度を検出する。角速度センサのセンシングデータを、角速度データと称する。位置センサは、位置を検出する。位置センサのセンシングデータを、位置データと称する。
The acceleration sensor detects acceleration. Sensing data of the angular velocity sensor is referred to as acceleration data. The angular velocity sensor is also called a gyro sensor or the like, and detects angular velocity. Sensing data of the angular velocity sensor is referred to as angular velocity data. A position sensor detects a position. Sensing data of the position sensor is referred to as position data.
撮像センサは、イメージセンサ等であり、被写体を撮像し画像を取得する。撮像センサのセンシングデータを、画像データと称する。なお、画像は映像を含む意味に解されてよく、撮像は撮影を含む意味に解されてよい。集音センサは、マイクロフォン等であり、音を検出する。集音センサのセンシングデータを、音データと称する。
The image sensor is an image sensor or the like, and captures an image of a subject. Sensing data from the image sensor is referred to as image data. Note that "image" may be interpreted to include video, and "imaging" may be interpreted to include shooting. The sound collection sensor is a microphone or the like, and detects sound. Sensing data from the sound collection sensor is referred to as sound data.
バイタルセンサは、生体情報を検出する。バイタルセンサのセンシングデータを、バイタルデータと称する。センシングデータは、心拍数、脳波、心電図、血流、血圧、呼吸、肺活量、筋電、体温、血糖値、重量、振動、衝撃、発汗等を含んでよい。なお、上述の撮像センサや集音センサが、非接触のバイタルセンサとして用いられてもよい。例えば、撮像センサの画像データから、血圧等が検出される。集音センサの音のデータから、心拍等が検出される。
The vital sensor detects biological information. The sensing data of the vital sensor is referred to as vital data. The sensing data may include heart rate, brain waves, electrocardiogram, blood flow, blood pressure, respiration, vital capacity, electromyography, body temperature, blood sugar level, weight, vibration, shock, perspiration, and the like. Note that the above-described image sensor and sound collection sensor may be used as a non-contact vital sensor. For example, blood pressure and the like are detected from image data from an image sensor. Heartbeat etc. are detected from the sound data of the sound collection sensor.
上記以外のさまざまな情報も、センシング対象としてセンシングデータに含まれてよい。例えば、ユーザUによるユーザ端末12の操作結果が、センシングデータに含まれてよい。操作結果の例は、操作時間や操作時刻(操作タイミング)、入力音声、入力文書等である。また、ユーザUの服薬や食事に関する服薬/食事情報も、センシングデータに含まれてよい。服薬/食事時情報は、例えばユーザ端末12の操作によって入力され取得されたり、薬箱やトレイ等に設けられたセンサによって検出されたりする。ユーザUの健康診断結果等も、センシングデータに含まれてよい。
Various information other than the above may also be included in the sensing data as sensing targets. For example, the result of operation of the user terminal 12 by the user U may be included in the sensing data. Examples of operation results include operation time, operation time (operation timing), input voice, input document, and the like. Further, medication/meal information regarding user U's medication and meals may also be included in the sensing data. The medication/meal information may be input and acquired by operating the user terminal 12, for example, or may be detected by a sensor provided on a medicine box, tray, or the like. User U's health checkup results and the like may also be included in the sensing data.
図1に戻り、ユーザ端末12は、ユーザUが利用する端末である。ユーザ端末12の例は、スマートフォン、タブレット端末、パーソナルコンピュータ、テレビジョン受像機等であり、この後で説明するユーザ端末12以外の端末も同様であってよい。センサ11のセンシングデータは、センサ11からユーザ端末12に送信され、収集される。なお、センサ11の一部は、ユーザ端末12に組み入れられてもよい。ユーザ端末12は、収集したセンシングデータを、情報処理装置2に送信する。情報処理装置2は、センシングデータを受信する。
Returning to FIG. 1, the user terminal 12 is a terminal used by user U. Examples of the user terminal 12 are a smartphone, a tablet terminal, a personal computer, a television receiver, etc., and terminals other than the user terminal 12 described later may be the same. Sensing data from the sensor 11 is transmitted from the sensor 11 to the user terminal 12 and collected. Note that a part of the sensor 11 may be incorporated into the user terminal 12. The user terminal 12 transmits the collected sensing data to the information processing device 2. The information processing device 2 receives sensing data.
情報処理装置2は、受信したセンシングデータを処理する。処理の詳細は後述する。情報処理装置2での処理によって得られた情報(後述の図3の「結果情報」に相当)は、他の装置や端末に送信される。
The information processing device 2 processes the received sensing data. Details of the processing will be described later. Information obtained by processing in the information processing device 2 (corresponding to "result information" in FIG. 3, which will be described later) is transmitted to other devices and terminals.
医療従事者端末3は、医療従事者Cが利用する端末である。医療従事者Cの例は、医師、看護師、薬剤師、理学療法士、介護士等である。コミュニティメンバー端末4は、メンバーMが利用する端末である。メンバーMは、ユーザUと同じコミュニティに属するメンバーであり、例えばユーザUの家族、ユーザUと同様の疾患を有する他の患者等である。生保/健保端末5、サービスプロバイダ端末6および分析端末7については後述する。
The medical worker terminal 3 is a terminal used by the medical worker C. Examples of medical personnel C include doctors, nurses, pharmacists, physical therapists, and caregivers. Community member terminal 4 is a terminal used by member M. The member M is a member who belongs to the same community as the user U, and is, for example, a family member of the user U, another patient with the same disease as the user U, or the like. The life insurance/health insurance terminal 5, service provider terminal 6, and analysis terminal 7 will be described later.
図3は、本開示に適用可能な情報処理システム100の機能を説明するための一例の機能ブロック図である。情報取得装置1では、センサ11からのセンシングデータが、ユーザ端末12によって収集される。
FIG. 3 is an example functional block diagram for explaining the functions of the information processing system 100 applicable to the present disclosure. In the information acquisition device 1 , sensing data from the sensor 11 is collected by the user terminal 12 .
ユーザ端末12は、通信部13と、ユーザインタフェース部14と、処理部15と、記憶部16とを含む。記憶部16に記憶される情報として、アプリケーションプログラム161(アプリケーションソフトウェア)が例示される。アプリケーションプログラム161の実行により、ユーザUが利用するアプリケーションが提供される。アプリケーションの例は、ユーザUのリハビリをサポートするアプリケーション、疾患の治療をサポートするアプリケーション、疾患の症状や食生活等を記録するアプリケーション等であり、より具体的には、リハビリを行う際に利用するリハビリアプリケーションや認知行動療法を提供するアプリケーション、心疾患や呼吸器疾患の症状を記録するアプリケーション等である。
The user terminal 12 includes a communication section 13, a user interface section 14, a processing section 15, and a storage section 16. An example of the information stored in the storage unit 16 is an application program 161 (application software). By executing the application program 161, an application for use by the user U is provided. Examples of applications are applications that support rehabilitation of user U, applications that support treatment of diseases, applications that record symptoms of diseases, eating habits, etc. More specifically, applications that are used when performing rehabilitation These include rehabilitation applications, applications that provide cognitive behavioral therapy, and applications that record symptoms of heart and respiratory diseases.
通信部13は、他の装置等と通信する。例えば、通信部13は、センサ11からのセンシングデータを受信したり、情報処理装置2からの結果情報(後述)を受信したりする。また、通信部13は、センシングデータを情報処理装置2に送信する。
The communication unit 13 communicates with other devices and the like. For example, the communication unit 13 receives sensing data from the sensor 11 and result information (described later) from the information processing device 2. Furthermore, the communication unit 13 transmits sensing data to the information processing device 2 .
ユーザインタフェース部14は、ユーザUによるユーザ端末12の操作を受け付けたり、情報をユーザUに提示したりする。
The user interface unit 14 accepts operations on the user terminal 12 by the user U and presents information to the user U.
処理部15は、ユーザ端末12の各要素を制御する制御部として機能するとともに、種々の処理を実行する。例えば、処理部15は、アプリケーションプログラム161を実行する。これにより、上述の各種のアプリケーションが提供される。一例としてリハビリアプリケーションについて述べると、例えばリハビリの内容等を示すリハビリメニューが、ユーザインタフェース部14によって提示(表示等)される。提示されたリハビリメニューに従って、ユーザUがリハビリを行う。
The processing unit 15 functions as a control unit that controls each element of the user terminal 12, and also executes various processes. For example, the processing unit 15 executes the application program 161. This provides the various applications described above. Regarding a rehabilitation application as an example, a rehabilitation menu indicating the contents of rehabilitation, etc., is presented (displayed, etc.) by the user interface unit 14, for example. User U performs rehabilitation according to the presented rehabilitation menu.
情報処理装置2は、情報取得装置1からのセンシングデータを受領し、処理する。情報処理装置2は、通信部21と、推定部22と、記憶部23と、推薦部24と、加工部25とを含む。記憶部23に記憶される情報として、患者情報231、コミュニティ情報232、アルゴリズムDB233、学習済みモデル234、推薦情報235および匿名加工情報236が例示される。
The information processing device 2 receives sensing data from the information acquisition device 1 and processes it. The information processing device 2 includes a communication section 21 , an estimation section 22 , a storage section 23 , a recommendation section 24 , and a processing section 25 . Examples of information stored in the storage unit 23 include patient information 231, community information 232, algorithm DB 233, learned model 234, recommendation information 235, and anonymously processed information 236.
患者情報231は、患者であるユーザUに関する情報を含む。患者情報251の例は、ユーザUの疾患情報、診断情報、診療記録、検診情報、服薬情報、通院履歴情報、リハビリ履歴情報等である。疾患情報は、先に述べたユーザUの疾患名等を含む。診断情報、診療記録、検診情報、服薬情報および通院履歴情報は、ユーザUの診断、診療、検診、服薬および通院履歴に関する情報であり、例えば情報処理装置2の外部(医療従事者端末3等)から与えられる。リハビリ履歴情報は、ユーザUが行った過去のリハビリに関する情報であり、例えば上述のリハビリアプリケーションにおいて取得され、ユーザ端末12から情報処理装置2に送信される。
Patient information 231 includes information regarding user U who is a patient. Examples of the patient information 251 include user U's disease information, diagnosis information, medical records, examination information, medication information, hospital visit history information, rehabilitation history information, and the like. The disease information includes the disease name of the user U mentioned above. Diagnostic information, medical record, checkup information, medication information, and hospital visit history information are information related to user U's diagnosis, medical treatment, checkup, medication, and hospital visit history, and are stored, for example, outside the information processing device 2 (medical worker terminal 3, etc.) given from. The rehabilitation history information is information regarding past rehabilitation performed by the user U, is acquired, for example, in the above-mentioned rehabilitation application, and is transmitted from the user terminal 12 to the information processing device 2.
コミュニティ情報232は、ユーザUが属するコミュニティに関する情報であり、メンバーMやコミュニティメンバー端末4に関する情報を含む。
The community information 232 is information about the community to which the user U belongs, and includes information about the members M and the community member terminals 4.
アルゴリズムDB233、学習済みモデル234、推薦情報235および匿名加工情報236については後述する。
The algorithm DB 233, trained model 234, recommendation information 235, and anonymously processed information 236 will be described later.
通信部21は、他の装置等と通信する。例えば、通信部21は、ユーザ端末12からのセンシングデータを受信する。
The communication unit 21 communicates with other devices. For example, the communication unit 21 receives sensing data from the user terminal 12.
推定部22は、センシングデータに基づく推定処理を実行する。例えば、推定部22は、センシングデータに基づいて、推定に供することのできる各種の指標を算出する。指標の例は、ユーザUの身体機能に関する指標、行動に関する指標、疾患に関する指標、情動に関する指標等である。指標を算出するためのさまざまなアルゴリズムが用いられてよい。アルゴリズムは、訓練データを用いた機械学習によって生成された学習済みモデルであってもよい。アルゴリズムは、センシングデータが入力されると指標を出力するように設計されてもよいし、センシングデータから得られる特徴量が入力されると指標を出力するように設計されてもよい。特徴量は、センシングデータに基づいて推定部22が算出してよい。特徴量の算出は、特徴量の生成、抽出等を含む意味に解されてよい。
The estimation unit 22 executes estimation processing based on sensing data. For example, the estimation unit 22 calculates various indicators that can be used for estimation based on the sensing data. Examples of the indicators include indicators related to user U's physical functions, indicators related to behavior, indicators related to diseases, indicators related to emotions, and the like. Various algorithms for calculating the index may be used. The algorithm may be a trained model generated by machine learning using training data. The algorithm may be designed to output an index when sensing data is input, or may be designed to output an index when a feature amount obtained from sensing data is input. The feature amount may be calculated by the estimation unit 22 based on sensing data. Calculation of a feature amount may be understood to include generation, extraction, etc. of a feature amount.
推定部22の推定結果を含む情報を、「結果情報」と称し図示する。通信部21は、結果情報を、他の装置や端末、この例では、ユーザ端末12、医療従事者端末3、コミュニティメンバー端末4および生保/健保端末5に送信する。なお、情報処理装置2の推薦部24および加工部25については後述する。
Information including the estimation results of the estimation unit 22 is referred to as "result information" and illustrated. The communication unit 21 transmits the result information to other devices and terminals, in this example, the user terminal 12, the medical worker terminal 3, the community member terminal 4, and the life insurance/health insurance terminal 5. Note that the recommendation unit 24 and processing unit 25 of the information processing device 2 will be described later.
ユーザ端末12では、結果情報が、ユーザインタフェース部14によって提示される。ユーザUは、自身の身体機能、行動、疾患等に関するさまざまな指標を知ることができる。情報処理装置2からユーザ端末12に送信される結果情報には、ユーザUに提示するコンテンツが含まれてよい。推定結果に基づく個別コンテンツの提示が可能になる。
At the user terminal 12, the result information is presented by the user interface section 14. User U can know various indicators regarding his/her physical functions, behavior, diseases, etc. The result information transmitted from the information processing device 2 to the user terminal 12 may include content to be presented to the user U. It becomes possible to present individual content based on the estimation results.
医療従事者端末3は、通信部31と、ユーザインタフェース部32と、記憶部33とを含む。記憶部33に記憶される情報として、医療情報331が例示される。医療情報331は、例えばユーザUのカルテ情報等を含み、医療従事者CによるユーザUの診断等に用いられる。
The medical worker terminal 3 includes a communication section 31, a user interface section 32, and a storage section 33. Medical information 331 is exemplified as the information stored in the storage unit 33. The medical information 331 includes, for example, medical record information of the user U, and is used by the medical worker C to diagnose the user U.
通信部31は、他の装置等と通信する。例えば、通信部31は、情報処理装置2からの結果情報を受信する。
The communication unit 31 communicates with other devices and the like. For example, the communication unit 31 receives result information from the information processing device 2.
ユーザインタフェース部32は、医療従事者Cによる医療従事者端末3の操作の受け付けや、情報の医療従事者Cへの提示などを行う。例えば、ユーザインタフェース部32により情報処理装置2からの結果情報が提示され、それによって、カルテ情報の追加等の医療情報331の更新が行われる。医療従事者Cによる介入も可能である。例えばユーザUに適合するように医療従事者Cによってカスタマイズされたリハビリメニュー等の個別コンテンツが生成される。コンテンツは、通信部31によってユーザ端末12に送信され、ユーザUに提示される。
The user interface unit 32 accepts operations on the medical worker terminal 3 by the medical worker C, presents information to the medical worker C, and the like. For example, the user interface unit 32 presents result information from the information processing device 2, and thereby updates the medical information 331, such as adding medical record information. Intervention by medical worker C is also possible. For example, individual content such as a rehabilitation menu customized by the medical worker C to suit the user U is generated. The content is transmitted to the user terminal 12 by the communication unit 31 and presented to the user U.
コミュニティメンバー端末4は、通信部41と、ユーザインタフェース部42とを含む。通信部41は、他の装置等と通信する。例えば、通信部41は、情報処理装置2からの結果情報を受信する。
The community member terminal 4 includes a communication section 41 and a user interface section 42. The communication unit 41 communicates with other devices and the like. For example, the communication unit 41 receives result information from the information processing device 2.
ユーザインタフェース部42は、メンバーMによるコミュニティメンバー端末4の操作を受け付けたり、情報をメンバーMに提示したりする。例えば、情報処理装置2からの結果情報が提示され、メンバーMにも共有される。情報処理装置2からコミュニティメンバー端末4に送信される結果情報には、メンバーMに提示するコンテンツが含まれてよい。推定結果に基づく個別コンテンツの提示が可能になる。
The user interface unit 42 accepts operations on the community member terminal 4 by members M, and presents information to members M. For example, result information from the information processing device 2 is presented and shared with the member M as well. The result information transmitted from the information processing device 2 to the community member terminal 4 may include content to be presented to the member M. It becomes possible to present individual content based on the estimation results.
生保/健保端末5は、保険会社、健康保険会社等が利用する端末である。生保/健保端末5は、通信部51と、解析部52と、記憶部53とを含む。記憶部53に記憶される情報として、顧客/従業員情報531が例示される。顧客/従業員情報531は、ユーザUの生命保険や健康保険等に関する情報を含む。
The life insurance/health insurance terminal 5 is a terminal used by insurance companies, health insurance companies, etc. The life insurance/health insurance terminal 5 includes a communication section 51, an analysis section 52, and a storage section 53. As the information stored in the storage unit 53, customer/employee information 531 is exemplified. The customer/employee information 531 includes information regarding user U's life insurance, health insurance, and the like.
通信部51は、情報処理装置2との通信を行い、例えば情報処理装置2からの結果情報を受信する。解析部52は、結果情報を解析し、保険料や報奨を特定(算出等)する。特定には、生命保険会社や健康保険会社の従業員等の作業、判断等が介在してもよい。保険料の値下げや限定プランへの変更等も行われてよい。通信部51は、特定された保険料やこれを推奨する保険料/報奨情報を、ユーザ端末12に送信する。保険料/報奨情報は、ユーザ端末12のユーザインタフェース部14によって提示される。
The communication unit 51 communicates with the information processing device 2 and receives, for example, result information from the information processing device 2. The analysis unit 52 analyzes the result information and specifies (calculates, etc.) insurance premiums and rewards. Identification may involve the work or judgment of employees of life insurance companies or health insurance companies. Insurance premiums may be reduced or changes to limited plans may be made. The communication unit 51 transmits the identified insurance premium and insurance premium/reward information recommending it to the user terminal 12. Premium/reward information is presented by the user interface section 14 of the user terminal 12.
サービスプロバイダ端末6(図ではSP端末6として示す)は、サービスプロバイダが利用する端末である。サービスプロバイダ端末6から情報処理装置2に情報が送信される製品の例は、車椅子や歩行補助器、リハビリ機器、健康食品および健康器具等である。また、サービスプロバイダ端末6から情報処理装置2に情報が送信されるサービスの例は、ユーザ端末12において実行可能な健康アプリケーション等である。
The service provider terminal 6 (shown as SP terminal 6 in the figure) is a terminal used by the service provider. Examples of products for which information is transmitted from the service provider terminal 6 to the information processing device 2 include wheelchairs, walking aids, rehabilitation equipment, health foods, and health appliances. Further, an example of a service in which information is transmitted from the service provider terminal 6 to the information processing device 2 is a health application or the like that can be executed on the user terminal 12.
サービスプロバイダ端末6は、通信部61と、ユーザインタフェース部62とを含む。サービスプロバイダ端末6は、例えばユーザインタフェース部62を介して、結果情報と製品およびサービスとを対応付ける製品/サービス情報が入力されたり生成されたりする。サービスプロバイダ端末6は、例えば、結果情報に示される指標と、製品やサービスとの対応付けを示す条件が入力され、この条件を含む情報が、製品/サービス情報として生成される。通信部61は、製品/サービス情報を、情報処理装置2に送信する。
The service provider terminal 6 includes a communication section 61 and a user interface section 62. The service provider terminal 6 receives or generates product/service information that associates result information with products and services, for example, via the user interface unit 62. For example, conditions indicating the association between the index shown in the result information and the product or service are input to the service provider terminal 6, and information including this condition is generated as product/service information. The communication unit 61 transmits product/service information to the information processing device 2 .
情報処理装置2の通信部21は、サービスプロバイダ端末6からの製品/サービス情報を受信する。
The communication unit 21 of the information processing device 2 receives product/service information from the service provider terminal 6.
情報処理装置2の推薦部24および加工部25について説明する。推薦部24は、サービスプロバイダ端末6からの製品/サービス情報に基づいて、ユーザUに推薦すべき製品やサービスの情報を含む推薦情報235を生成する。推薦部24は、例えば、上記のサービスプロバイダ端末6で入力された条件に基づいて、結果情報に対応する製品やサービスを決定し、それらを推薦する推薦情報235を生成する。通信部21は、推薦情報235をユーザ端末12およびコミュニティメンバー端末4に送信する。推薦情報235は、ユーザ端末12のユーザインタフェース部14によって提示されたり、コミュニティメンバー端末4のユーザインタフェース部42によって提示されたりする。
The recommendation unit 24 and processing unit 25 of the information processing device 2 will be explained. The recommendation unit 24 generates recommendation information 235 including information on products and services that should be recommended to the user U based on the product/service information from the service provider terminal 6. For example, the recommendation unit 24 determines products and services corresponding to the result information based on the conditions input at the service provider terminal 6 described above, and generates recommendation information 235 that recommends them. The communication unit 21 transmits the recommendation information 235 to the user terminal 12 and the community member terminal 4. The recommendation information 235 is presented by the user interface unit 14 of the user terminal 12 or by the user interface unit 42 of the community member terminal 4.
加工部25は、結果情報を匿名化することによって、匿名加工情報236を生成する。匿名加工情報236は、匿名化された個人情報と、結果情報とを対応付けて記述する。
The processing unit 25 generates anonymously processed information 236 by anonymizing the result information. The anonymously processed information 236 describes anonymized personal information and result information in association with each other.
情報処理装置2の通信部21は、匿名加工情報236を分析端末7に送信する。
The communication unit 21 of the information processing device 2 transmits anonymously processed information 236 to the analysis terminal 7.
分析端末7は、例えば上述の製品/サービスを提供する企業、臨床開発を行う製薬企業等が利用する端末である。分析端末7は、通信部71と、解析部72と、ユーザインタフェース部73とを含む。
The analysis terminal 7 is a terminal used by, for example, companies that provide the above-mentioned products/services, pharmaceutical companies that conduct clinical development, and the like. The analysis terminal 7 includes a communication section 71, an analysis section 72, and a user interface section 73.
通信部71は、情報処理装置2からの匿名加工情報236を受信する。解析部72は、匿名加工情報236に基づいて、データ解析(データ分析)を行う。解析には、企業の従業員等の作業、判断等が介在してもよい。ユーザインタフェース部73は、データ解析に関する情報の提示等を行う。解析の例は、健康食品、健康器具等の製品のユーザ層の分析、臨床開発のためのデータ分析等である。メーカ等によるマーケティング分析、特定症状のユーザの割合、年齢、性別等の分析、特定薬剤服用患者に対する症状のモニタリング等、さまざまなサービスに匿名加工情報236を利活用することができる。
The communication unit 71 receives anonymously processed information 236 from the information processing device 2. The analysis unit 72 performs data analysis based on the anonymously processed information 236. The analysis may involve work, judgment, etc. by employees of the company. The user interface unit 73 presents information related to data analysis, etc. Examples of analysis include analysis of user groups for products such as health foods and health appliances, and data analysis for clinical development. The anonymously processed information 236 can be utilized for various services such as marketing analysis by manufacturers, analysis of the proportion of users with specific symptoms, age, gender, etc., and monitoring of symptoms for patients taking specific drugs.
(変形例)
上述では、センサ11のセンシングデータが、ユーザ端末12を介して、情報処理装置2に送信される場合を例に挙げて説明した。これはこの例に限定されず、センサ11のセンシングデータの一部又は全部が、ユーザ端末12を介さずに、センサ11から情報処理装置2に直接的に送信されてもよい。 (Modified example)
In the above description, an example has been described in which the sensing data of thesensor 11 is transmitted to the information processing device 2 via the user terminal 12. This is not limited to this example, and part or all of the sensing data of the sensor 11 may be directly transmitted from the sensor 11 to the information processing device 2 without going through the user terminal 12.
上述では、センサ11のセンシングデータが、ユーザ端末12を介して、情報処理装置2に送信される場合を例に挙げて説明した。これはこの例に限定されず、センサ11のセンシングデータの一部又は全部が、ユーザ端末12を介さずに、センサ11から情報処理装置2に直接的に送信されてもよい。 (Modified example)
In the above description, an example has been described in which the sensing data of the
上述では、生保/健保端末5、サービスプロバイダ端末6および分析端末7での各種サービスに関する機能や情報、例えば推薦部24、加工部25、推薦情報235、匿名加工情報236が、情報処理装置2に備えられる場合を例に挙げて説明した。これはこの例に限定されず、それらの機能や情報は、対応する端末の利用者が管理するサーバ装置等(サービス提供者サーバ装置)に備えられてもよい。生保/健保端末5、サービスプロバイダ端末6および分析端末7は、対応するサーバ装置等と通信してその機能を利用する。この構成によれば、情報処理装置2での処理負担の軽減や、機能の簡素化によるコストの低減が可能となる。
In the above description, functions and information related to various services at the life insurance/health insurance terminal 5, the service provider terminal 6, and the analysis terminal 7, such as the recommendation section 24, the processing section 25, the recommendation information 235, and the anonymously processed information 236, are transferred to the information processing device 2. I have given an example of a case where this can be done. This is not limited to this example, and those functions and information may be provided in a server device or the like (service provider server device) managed by the user of the corresponding terminal. The life insurance/health insurance terminal 5, the service provider terminal 6, and the analysis terminal 7 communicate with corresponding server devices and utilize their functions. According to this configuration, it is possible to reduce the processing load on the information processing device 2 and reduce costs by simplifying functions.
端末の機能の一部が、対応する端末の利用者が管理するサーバ装置等に備えられてもよい。例えば、生保/健保端末5の解析部52の機能は、保険会社、健康保険会社等が管理するサーバ装置等に備えられてよい。生保/健保端末5は、そのサーバ装置等と通信してその機能を利用する。分析端末7の解析部72の機能は、製薬企業等が管理するサーバ装置等に備えられてよい。分析端末7は、そのサーバ装置等と通信してその機能を利用する。生保/健保端末5や分析端末7での処理負担を軽減したり、機能を簡素化してコストを低減したりすることができる。
Some of the functions of a terminal may be provided in a server device or the like managed by the user of the corresponding terminal. For example, the function of the analysis unit 52 of the life insurance/health insurance terminal 5 may be provided in a server device or the like managed by an insurance company, health insurance company, or the like. The life insurance/health insurance terminal 5 communicates with the server device and utilizes its functions. The function of the analysis unit 72 of the analysis terminal 7 may be provided in a server device or the like managed by a pharmaceutical company or the like. The analysis terminal 7 communicates with the server device and uses its functions. It is possible to reduce the processing burden on the life insurance/health insurance terminal 5 and the analysis terminal 7, and to simplify the functions and reduce costs.
(指標算出の具体例)
情報処理装置2の推定部22による指標算出の具体例について説明する。推定部22は、センシングデータから算出された特徴量の評価結果に基づいて、指標を算出する。その場合、推定部22は、特徴量算出アルゴリズムを用いて、センシングデータから特徴量を算出する。そして、推定部22は、算出した特徴量を評価することで、指標を算出する。特定の指標の算出に適した特徴量算出アルゴリズム等の情報が、記憶部23に記憶されたアルゴリズムDB233に登録されている。 (Specific example of index calculation)
A specific example of index calculation by the estimation unit 22 of theinformation processing device 2 will be described. The estimation unit 22 calculates an index based on the evaluation result of the feature amount calculated from the sensing data. In that case, the estimation unit 22 calculates the feature amount from the sensing data using a feature amount calculation algorithm. Then, the estimation unit 22 calculates an index by evaluating the calculated feature amount. Information such as a feature value calculation algorithm suitable for calculating a specific index is registered in the algorithm DB 233 stored in the storage unit 23.
情報処理装置2の推定部22による指標算出の具体例について説明する。推定部22は、センシングデータから算出された特徴量の評価結果に基づいて、指標を算出する。その場合、推定部22は、特徴量算出アルゴリズムを用いて、センシングデータから特徴量を算出する。そして、推定部22は、算出した特徴量を評価することで、指標を算出する。特定の指標の算出に適した特徴量算出アルゴリズム等の情報が、記憶部23に記憶されたアルゴリズムDB233に登録されている。 (Specific example of index calculation)
A specific example of index calculation by the estimation unit 22 of the
図4は、本開示に適用可能な特徴量算出アルゴリズム等の情報が登録されたアルゴリズムDB233の例を示す図である。アルゴリズムDB233は、指標と、入力データと、特徴量算出アルゴリズムと、評価項目と、評価条件とを対応付けて記述する。図4において、アルゴリズムDB233の一行目に具体例が示される。
FIG. 4 is a diagram showing an example of the algorithm DB 233 in which information such as feature value calculation algorithms applicable to the present disclosure is registered. The algorithm DB 233 describes indicators, input data, feature amount calculation algorithms, evaluation items, and evaluation conditions in association with each other. In FIG. 4, a specific example is shown in the first line of the algorithm DB 233.
指標として、リハビリ指標が例示される。入力データは、推定の基礎となるデータを示し、この例では画像データである。特徴量算出アルゴリズムは、指標の算出に必要な特徴量を算出するアルゴリズムであり、この例では、画像データに基づいて姿勢に関する特徴量を算出する姿勢推定アルゴリズムである。例えば画像中の特徴点に基づいて、姿勢に関するさまざまな特徴量が算出される。
An example of an indicator is a rehabilitation indicator. The input data indicates the data on which the estimation is based, and in this example is image data. The feature amount calculation algorithm is an algorithm that calculates feature amounts necessary for calculating an index, and in this example, it is a posture estimation algorithm that calculates a feature amount related to posture based on image data. For example, various feature amounts related to posture are calculated based on feature points in the image.
評価項目は、特徴量算出アルゴリズムによって算出された特徴量のうち、評価項目となる特徴量を示す。この例では、評価項目の特徴量が、特徴量Aおよび特徴量Bとして模式的に示される。評価条件は、評価項目の評価の条件を示し、この例では重み係数や閾値を含む。重み係数は、各評価項目(特徴量A、特徴量B等)を重み付けするために用いられる。閾値は、重み付けされた後の各評価項目から算出されるスコア(評価値)に対して設定される。例えばスコアが閾値以上の場合、リハビリ効果が得られたこと、すなわちリハビリ効果有りを示す指標が、リハビリ指標として算出される。スコアが閾値未満の場合、リハビリ効果が得られなかったこと、すなわちリハビリ効果無しを示す指標が、リハビリ指標として算出される。
The evaluation item indicates a feature amount that is an evaluation item among the feature amounts calculated by the feature amount calculation algorithm. In this example, the feature amounts of the evaluation items are schematically shown as feature amount A and feature amount B. The evaluation condition indicates the condition for evaluating the evaluation item, and includes a weighting coefficient and a threshold value in this example. The weighting coefficient is used to weight each evaluation item (feature amount A, feature amount B, etc.). The threshold value is set for the score (evaluation value) calculated from each weighted evaluation item. For example, when the score is greater than or equal to the threshold, an index indicating that a rehabilitation effect has been obtained, that is, a rehabilitation effect is present, is calculated as a rehabilitation index. If the score is less than the threshold, an index indicating that no rehabilitation effect was obtained, that is, no rehabilitation effect, is calculated as a rehabilitation index.
上記以外のリハビリ指標が存在してよく、その場合、アルゴリズムDB233は、リハビリ指標ごとに、特徴量算出アルゴリズム等を対応付けて記述する。また、リハビリ指標以外にもさまざまな指標が存在してよく、アルゴリズムDB233は、それらの指標ごとに、特徴量算出アルゴリズム等を対応付けて記述する。
Rehabilitation indicators other than those described above may exist, and in that case, the algorithm DB 233 describes feature value calculation algorithms and the like in association with each rehabilitation indicator. Furthermore, there may be various indicators other than rehabilitation indicators, and the algorithm DB 233 describes feature value calculation algorithms and the like in association with each of these indicators.
上述のような姿勢に関する特徴量に限らず、さまざまな特徴量が算出可能である。算出可能な特徴量のいくつかの例について、図5を参照して説明する。
Various feature quantities can be calculated, not only the feature quantities related to posture as described above. Some examples of feature quantities that can be calculated will be described with reference to FIG. 5.
図5は、本開示に適用可能な、算出可能な特徴量の例を示す模式図である。算出可能な特徴量として、前述の姿勢に関する特徴量の他に、歩行に関する特徴量、車椅子に関する特徴量、上肢に関する特徴量、リハビリに関する特徴量、バイタル安定性に関する特徴量、発話に関する特徴量、表情に関する特徴量および睡眠に関する特徴量が例示される。
FIG. 5 is a schematic diagram showing an example of computable feature amounts applicable to the present disclosure. Features that can be calculated include, in addition to the posture-related features mentioned above, walking-related features, wheelchair-related features, upper limb-related features, rehabilitation-related features, vital stability-related features, speech-related features, and facial expressions. A feature amount related to sleep and a feature amount related to sleep are exemplified.
姿勢に関する特徴量の例は、ユーザUの身体の姿勢、より具体的には例えば首Udの傾き等である。この特徴量は、先に述べたように画像データから算出されてもよいし、また、加速度データ、角速度データ等から算出されてもよい。
An example of a feature amount related to posture is the posture of the user U's body, more specifically, for example, the inclination of the neck Ud. This feature amount may be calculated from image data as described above, or may be calculated from acceleration data, angular velocity data, etc.
歩行に関する特徴量の例は、歩数、歩行距離、歩行範囲等である。車椅子に関する特徴量の例は、乗車距離、乗車範囲等である。これらの特徴量は、例えば、加速度データ、角速度データ、位置データ、画像データ等から算出される。
Examples of feature amounts related to walking include the number of steps, walking distance, walking range, etc. Examples of features related to wheelchairs include riding distance, riding range, and the like. These feature amounts are calculated from, for example, acceleration data, angular velocity data, position data, image data, and the like.
上肢に関する特徴量の例は、上肢の上げ下げに関する特徴量であり、より具体的には、上肢上げ下げ時間、上肢上げ下げ回数、上肢上げ下げ高さ等である。この特徴量は、例えば、加速度データ、角速度データ、画像データ等から算出される。
Examples of feature amounts related to the upper limb are feature amounts related to raising and lowering the upper limb, and more specifically, the upper limb raising and lowering time, the number of times the upper limb is raised and lowered, the height of the upper limb raising and lowering, and the like. This feature amount is calculated from, for example, acceleration data, angular velocity data, image data, etc.
リハビリに関する特徴量の例は、リハビリの実施率、リハビリの質等である。リハビリの実施率は、例えば目標リハビリメニューに対する実際に行われたリハビリメニューの比率(進捗)等である。リハビリの質は、他の情報、例えば上肢の上げ下げ等の情報に基づいて算出されるスコア等である。この特徴量は、例えば、姿勢に関する特徴や上肢に関する特徴量といった他の特徴量、また、リハビリ履歴情報(前述の患者情報231の一例)等から算出される。
Examples of features related to rehabilitation include rehabilitation implementation rate, rehabilitation quality, etc. The rehabilitation implementation rate is, for example, the ratio (progress) of the rehabilitation menu actually performed to the target rehabilitation menu. The quality of rehabilitation is a score etc. calculated based on other information, such as information such as raising and lowering of the upper limb. This feature amount is calculated, for example, from other feature amounts such as posture-related features and upper limb-related feature amounts, rehabilitation history information (an example of the patient information 231 described above), and the like.
バイタル安定性に関する特徴量の例は、ユーザUの心拍等の安定性である。この特徴量は、例えば、バイタルデータ、画像データ等から算出される。
An example of a feature amount related to vital stability is the stability of user U's heartbeat, etc. This feature amount is calculated from vital data, image data, etc., for example.
発話に関する特徴量の例は、発話時間等である。この特徴量は、例えば、画像データ、音データ等から算出される。
An example of a feature amount related to utterance is utterance time, etc. This feature amount is calculated from image data, sound data, etc., for example.
表情に関する特徴量の例は、ユーザUの表情が明るい、暗い等である。この特徴量は、例えば、画像データ等から算出される。
Examples of feature amounts related to facial expressions include whether user U's facial expression is bright or dark. This feature amount is calculated from, for example, image data.
睡眠に関する特徴量の例は、睡眠時間等である。この特徴量は、例えば、画像データ、バイタルデータ等から算出される。
An example of a feature amount related to sleep is sleep time, etc. This feature amount is calculated from image data, vital data, etc., for example.
上記以外のさまざまな特徴量も算出可能である。例えば、ユーザ端末12の操作結果から、キーストローク、社会的接触回数等が算出される。位置データから、異常行動、外出回数、外出時間等が算出される。音データ、より具体的にはユーザUの音声データから、音声韻律、言語内容等が算出される。入力文書等から、社交性、言語パフォーマンス、手の動き等が算出される。画像データから、顔の特徴等が算出される。画像データ、より具体的には映像データから、視線の情報、ゲーム中の特徴データ等が算出される。
Various feature quantities other than those mentioned above can also be calculated. For example, keystrokes, the number of social contacts, etc. are calculated from the operation results of the user terminal 12. Abnormal behavior, number of outings, outing time, etc. are calculated from the location data. Speech prosody, linguistic content, etc. are calculated from the sound data, more specifically from the user U's speech data. Sociability, language performance, hand movements, etc. are calculated from input documents. Facial features and the like are calculated from the image data. Information on line of sight, characteristic data during the game, etc. are calculated from image data, more specifically video data.
推定部22(図3参照)は、上述のようなアルゴリズムDB233を参照し、そこに登録された特徴量算出アルゴリズム等を用いることで、適切な指標を算出してよい。
The estimation unit 22 (see FIG. 3) may calculate an appropriate index by referring to the algorithm DB 233 as described above and using the feature value calculation algorithm registered therein.
アルゴリズムとして、学習済みモデル234が用いられてもよい。学習済みモデル234は、上述の入力データに対応するデータが入力されると、指標に対応するデータを出力するように、訓練データを用いて機械学習されたモデル(プログラム等)であってよい。推定部22は、入力データを学習済みモデル234に入力し、学習済みモデル234からの出力データを取得することによって、指標を算出する。
The learned model 234 may be used as the algorithm. The learned model 234 may be a model (such as a program) that has been machine learned using training data so as to output data corresponding to an index when data corresponding to the above-described input data is input. The estimation unit 22 calculates the index by inputting input data to the trained model 234 and acquiring output data from the trained model 234.
学習済みモデル234は、各々が異なる指標を算出する複数の学習済みモデル234であってもよい。推定部22は、適切な学習済みモデル234を用いて、指標を算出する。算出に用いられる学習済みモデル234等の情報が、記憶部23に記憶されたアルゴリズムDB233に登録されていてもよい。
The trained model 234 may be a plurality of trained models 234, each of which calculates a different index. The estimation unit 22 uses an appropriate trained model 234 to calculate the index. Information such as the trained model 234 used for calculation may be registered in the algorithm DB 233 stored in the storage unit 23.
図6は、本開示に適用可能な、学習済みモデル234等の情報が登録されたアルゴリズムDB233の例を示す図である。アルゴリズムDB233は、指標と、入力データと、学習済みモデル234とを対応付けて記述する。図6において、アルゴリズムDB233の一行目に具体例が示される。画像データからリハビリ指標を算出するための学習済みモデル234が、学習済みモデル234Aとして模式的に示される。学習済みモデル234Aは、画像データに対応するデータが入力されると、リハビリ指標に対応するデータを出力する。
FIG. 6 is a diagram showing an example of the algorithm DB 233 in which information such as the learned model 234 is registered, which is applicable to the present disclosure. The algorithm DB 233 describes indicators, input data, and learned models 234 in association with each other. In FIG. 6, a specific example is shown in the first line of the algorithm DB 233. A trained model 234 for calculating a rehabilitation index from image data is schematically shown as a trained model 234A. When the learned model 234A receives data corresponding to image data, it outputs data corresponding to a rehabilitation index.
推定部22(図3参照)は、上述のようなアルゴリズムDB233を参照し、そこに登録された学習済みモデル234等を用いることで、適切な指標を算出する。
The estimation unit 22 (see FIG. 3) refers to the algorithm DB 233 as described above and calculates an appropriate index by using the learned model 234 registered there.
なお、学習済みモデル234が、先に図4を参照して説明した特徴量算出アルゴリズムであってもよい。その場合の学習済みモデル234は、入力データに対応するデータが入力されると、特徴量に対応するデータを出力する。
Note that the learned model 234 may be the feature amount calculation algorithm described above with reference to FIG. 4. In this case, the learned model 234 outputs data corresponding to the feature amount when data corresponding to the input data is input.
例えば以上のようにして、推定部22は、ユーザUに関するさまざまな指標を算出することで、結果情報を出力する。
For example, as described above, the estimation unit 22 calculates various indicators regarding the user U and outputs result information.
図7は、本開示に適用可能な情報処理装置2の一例のハードウェア構成を示すブロック図である。なお、ここでは、情報処理装置2が例えば単独のコンピュータにより構成されるものとして説明を行う。
FIG. 7 is a block diagram showing the hardware configuration of an example of the information processing device 2 applicable to the present disclosure. Note that the description here assumes that the information processing device 2 is constituted by, for example, a single computer.
図7の例では、情報処理装置2は、互いにバス2010により通信可能に接続された、CPU(Central Processing Unit)2000と、ROM(Read Only Memory)2001と、RAM(Random Access Memory)2002と、ストレージ装置2003と、データI/F(インタフェース)2004と、通信I/F(インタフェース)2005と、を含む。なお、図では、ストレージ装置2003が情報処理装置2に内蔵されるように示されているが、ストレージ装置2003は、情報処理装置2に対して外部的に接続される構成でもよい。
In the example of FIG. 7, the information processing device 2 includes a CPU (Central Processing Unit) 2000, a ROM (Read Only Memory) 2001, and a RAM (Random Access Memory) 2002, which are communicably connected to each other via a bus 2010. It includes a storage device 2003, a data I/F (interface) 2004, and a communication I/F (interface) 2005. Note that although the storage device 2003 is shown as being built into the information processing device 2 in the figure, the storage device 2003 may be configured to be externally connected to the information processing device 2.
ストレージ装置2003は、ハードディスクドライブやフラッシュメモリといった不揮発性の記憶媒体である。CPU2000は、ROM2001およびストレージ装置2003に記憶されるプログラムに従い、RAM2002をワークメモリとして用いて動作し、この情報処理装置2の全体の動作を制御する。
The storage device 2003 is a nonvolatile storage medium such as a hard disk drive or flash memory. The CPU 2000 operates according to programs stored in the ROM 2001 and the storage device 2003, using the RAM 2002 as a work memory, and controls the overall operation of the information processing device 2.
データI/F2004は、外部の装置との間でデータの送受信を行うためのインタフェースである。通信I/F2005は、ネットワークNを介した通信を制御する。
The data I/F 2004 is an interface for transmitting and receiving data with an external device. Communication I/F 2005 controls communication via network N.
図8は、本開示に適用可能なユーザ端末12の一例のハードウェア構成を示すブロック図である。
FIG. 8 is a block diagram showing the hardware configuration of an example of the user terminal 12 applicable to the present disclosure.
図8の例では、ユーザ端末12は、互いにバス1210により通信可能に接続された、CPU1200と、ROM1201と、RAM1202と、表示制御部1203と、ストレージ装置1204と、入力デバイス1205と、データI/F1206と、通信I/F1207と、センサI/F1208と、を含む。
In the example of FIG. 8, the user terminal 12 includes a CPU 1200, a ROM 1201, a RAM 1202, a display control unit 1203, a storage device 1204, an input device 1205, and a data I/O device that are communicably connected to each other via a bus 1210. F1206, communication I/F1207, and sensor I/F1208.
ストレージ装置1204は、フラッシュメモリといった不揮発性の記憶媒体である。ストレージ装置1204としてハードディスクドライブを用いてもよい。CPU1200は、ROM1201およびストレージ装置1204に記憶されるプログラムに従い、RAM1202をワークメモリとして用いて動作し、このユーザ端末12の全体の動作を制御する。
The storage device 1204 is a nonvolatile storage medium such as flash memory. A hard disk drive may be used as the storage device 1204. The CPU 1200 operates according to programs stored in the ROM 1201 and the storage device 1204, using the RAM 1202 as a work memory, and controls the overall operation of the user terminal 12.
表示制御部1203は、CPU1200により生成された表示制御情報に基づき、表示デバイス1220が表示可能な表示信号を生成する。表示デバイス1220は、例えばLCD(Liquid Crystal Display)といった表示素子と、当該表示素子を駆動するための駆動回路とを含む。表示デバイス1220は、表示制御部1203から出力された表示信号に応じた画面を表示素子により表示させる。
The display control unit 1203 generates a display signal that can be displayed by the display device 1220 based on the display control information generated by the CPU 1200. The display device 1220 includes a display element such as an LCD (Liquid Crystal Display), and a drive circuit for driving the display element. The display device 1220 causes a display element to display a screen according to the display signal output from the display control unit 1203.
以下では、ユーザ端末12において、CPU1200により生成された表示制御情報に基づき表示デバイス1220に所定の画面を表示させることを、ユーザ端末12が所定の画面を表示する、などのように記載する。
Hereinafter, causing the display device 1220 to display a predetermined screen based on the display control information generated by the CPU 1200 in the user terminal 12 will be described as, for example, the user terminal 12 displaying a predetermined screen.
入力デバイス1205は、ユーザ操作を受け付け、ユーザ操作に応じた制御信号を出力する。ユーザ端末12がスマートフォンやタブレット型コンピュータである場合、入力デバイス1205としては、操作位置に応じた制御信号を出力するタッチパッドを適用することができる。これに限らず、入力デバイス1205として、メカニカルなボタンといった操作子や、キーボード、マウスなどのポインティングデバイスを含めてよい。
The input device 1205 accepts user operations and outputs control signals according to the user operations. When the user terminal 12 is a smartphone or a tablet computer, a touch pad that outputs a control signal according to the operating position can be used as the input device 1205. The input device 1205 is not limited to this, and may include an operator such as a mechanical button, a keyboard, a pointing device such as a mouse, etc.
なお、表示デバイス1220と入力デバイス1205とを、入力デバイス1205が表示デバイス1220による表示を透過可能なように一体的に形成して、タッチパネルを構成してもよい。
Note that a touch panel may be configured by integrally forming the display device 1220 and the input device 1205 so that the input device 1205 can transmit the display by the display device 1220.
データI/F1206は、外部の装置との間でデータの送受信を行うためのインタフェースである。データI/F1206は、USB(Universal Serial Bus)などの有線通信を行うインタフェースであってもよいし、Bluetooth(登録商標)といった無線通信を行うインタフェースであってもよい。
The data I/F 1206 is an interface for transmitting and receiving data with an external device. The data I/F 1206 may be an interface for wired communication such as USB (Universal Serial Bus), or may be an interface for wireless communication such as Bluetooth (registered trademark).
通信I/F1207は、例えば無線通信によるネットワークNに対する通信を制御する。センサI/F1208は、センサ11に含まれる各センサに対するインタフェースである。
The communication I/F 1207 controls communication to the network N by, for example, wireless communication. Sensor I/F 1208 is an interface for each sensor included in sensor 11.
なお、図1に示されるサービスプロバイダ端末は、CPU、メモリ、ストレージ装置および通信I/F、ならびに、入力デバイスおよび表示デバイスを備える一般的なコンピュータと同様の構成を適用できるため、ここでの説明を省略する。
Note that the service provider terminal shown in FIG. 1 can have a configuration similar to that of a general computer including a CPU, memory, storage device, communication I/F, input device, and display device, so the description here will be omitted. omitted.
(2.本開示の実施形態)
次に、本開示の実施形態について説明する。 (2. Embodiments of the present disclosure)
Next, embodiments of the present disclosure will be described.
次に、本開示の実施形態について説明する。 (2. Embodiments of the present disclosure)
Next, embodiments of the present disclosure will be described.
(2-1.実施形態に係る情報処理システムの構成例)
図9は、実施形態に係る情報処理システムの機能を説明するための一例の機能ブロック図である。なお、図9では、実施形態に関わりの深い部分を注目して示し、図1および図3を用いて説明した情報処理システム100における、実施形態と関連性の小さい部分については、記載を省略している。 (2-1. Configuration example of information processing system according to embodiment)
FIG. 9 is an example functional block diagram for explaining the functions of the information processing system according to the embodiment. Note that FIG. 9 focuses on parts that are closely related to the embodiment, and descriptions of parts that are less relevant to the embodiment in theinformation processing system 100 described using FIGS. 1 and 3 are omitted. ing.
図9は、実施形態に係る情報処理システムの機能を説明するための一例の機能ブロック図である。なお、図9では、実施形態に関わりの深い部分を注目して示し、図1および図3を用いて説明した情報処理システム100における、実施形態と関連性の小さい部分については、記載を省略している。 (2-1. Configuration example of information processing system according to embodiment)
FIG. 9 is an example functional block diagram for explaining the functions of the information processing system according to the embodiment. Note that FIG. 9 focuses on parts that are closely related to the embodiment, and descriptions of parts that are less relevant to the embodiment in the
図9において、実施形態に係る情報処理システム100aは、情報処理装置2と、サービスプロバイダ端末6と、ユーザ端末12と、を含む。
In FIG. 9, an information processing system 100a according to the embodiment includes an information processing device 2, a service provider terminal 6, and a user terminal 12.
(情報処理装置)
情報処理装置2は、介入通知部200と、推奨共有範囲通知部201と、情報保持部202と、推奨共有範囲計算部203と、アクセス制御部204と、対SP共有範囲保持部205と、推論対象値保持部206と、を含む。 (Information processing device)
Theinformation processing device 2 includes an intervention notification unit 200, a recommended sharing range notification unit 201, an information storage unit 202, a recommended sharing range calculation unit 203, an access control unit 204, a SP sharing range storage unit 205, and an inference/sharing range storage unit 205. A target value holding unit 206 is included.
情報処理装置2は、介入通知部200と、推奨共有範囲通知部201と、情報保持部202と、推奨共有範囲計算部203と、アクセス制御部204と、対SP共有範囲保持部205と、推論対象値保持部206と、を含む。 (Information processing device)
The
情報処理装置2が図7を用いて説明した構成を有する場合、これら介入通知部200、推奨共有範囲通知部201、情報保持部202、推奨共有範囲計算部203、アクセス制御部204、対SP共有範囲保持部205および推論対象値保持部206の各部は、CPU2000上で、実施形態に係るサーバ用の情報処理プログラムが動作することで実現される。これに限らず、これら各部のうち一部または全部を、互いに協働して動作するハードウェア回路により実現してもよい。
When the information processing device 2 has the configuration described using FIG. Each part of the range holding unit 205 and the inference target value holding unit 206 is realized by running the information processing program for the server according to the embodiment on the CPU 2000. The present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
情報処理装置2において、CPU2000は、実施形態に係るサーバ用の情報処理プログラムが実行されることで、上述した各部を、RAM2002における主記憶領域上に、それぞれ例えばモジュールとして構成する。当該情報処理プログラムは、通信I/F2005を介した通信により、例えばネットワークNを介して外部から取得し、当該情報処理装置2上にインストールすることが可能とされている。これに限らず、当該情報処理プログラムは、外部からデータI/F2004を介して提供されてもよい。さらに、当該情報処理プログラムは、CD(Compact Disk)やDVD(Digital Versatile Disk)、USB(Universal Serial Bus)メモリといった着脱可能な記憶媒体に記憶されて提供されてもよい。
In the information processing device 2, the CPU 2000 configures each of the above-mentioned units as modules, for example, on the main storage area of the RAM 2002 by executing the information processing program for the server according to the embodiment. The information processing program can be acquired from the outside via, for example, the network N, and installed on the information processing apparatus 2 through communication via the communication I/F 2005. The information processing program is not limited to this, and the information processing program may be provided from the outside via the data I/F 2004. Further, the information processing program may be provided while being stored in a removable storage medium such as a CD (Compact Disk), a DVD (Digital Versatile Disk), or a USB (Universal Serial Bus) memory.
(ユーザ端末)
実施形態に係るユーザ端末12は、介入提示部120と、共有範囲提示部121と、生体情報取得部122と、個人情報取得部123と、共有範囲設定部124と、を含む。 (user terminal)
Theuser terminal 12 according to the embodiment includes an intervention presentation section 120, a sharing range presentation section 121, a biometric information acquisition section 122, a personal information acquisition section 123, and a sharing range setting section 124.
実施形態に係るユーザ端末12は、介入提示部120と、共有範囲提示部121と、生体情報取得部122と、個人情報取得部123と、共有範囲設定部124と、を含む。 (user terminal)
The
これら介入提示部120、共有範囲提示部121、生体情報取得部122、個人情報取得部123および共有範囲設定部124の各部は、CPU1200上で、実施形態に係るユーザ端末用プログラムが動作することで実現される。これに限らず、これら各部のうち一部または全部を、互いに協働して動作するハードウェア回路により実現してもよい。
Each of the intervention presentation unit 120, sharing range presentation unit 121, biological information acquisition unit 122, personal information acquisition unit 123, and sharing range setting unit 124 is operated by the user terminal program according to the embodiment on the CPU 1200. Realized. The present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
ユーザ端末12において、CPU1200は、実施形態に係るユーザ端末用プログラムが実行されることで、上述した介入提示部120、共有範囲提示部121、生体情報取得部122、個人情報取得部123および共有範囲設定部124を、RAM1202における主記憶領域上に、それぞれ例えばモジュールとして構成する。
In the user terminal 12, the CPU 1200 executes the user terminal program according to the embodiment, thereby controlling the intervention presentation section 120, the sharing range presentation section 121, the biometric information acquisition section 122, the personal information acquisition section 123, and the sharing range described above. The setting unit 124 is configured as a module on the main storage area of the RAM 1202, respectively.
当該ユーザ端末用プログラムは、通信I/F1207を介した通信により、例えばネットワークNを介して外部から取得し、当該ユーザ端末12上にインストールすることが可能とされている。これに限らず、当該ユーザ端末用プログラムは、外部からデータI/F1206を介して提供されてもよい。さらに、当該ユーザ端末用プログラムは、CDやDVD、USBメモリといった着脱可能な記憶媒体に記憶されて提供されてもよい。
The program for the user terminal can be obtained from the outside via, for example, the network N, and installed on the user terminal 12 by communication via the communication I/F 1207. The present invention is not limited to this, and the user terminal program may be provided from outside via the data I/F 1206. Furthermore, the program for the user terminal may be stored and provided in a removable storage medium such as a CD, DVD, or USB memory.
(サービスプロバイダ端末)
実施形態に係るサービスプロバイダ端末6は、推奨共有範囲設定部600と、介入モジュール601と、情報記憶部602と、を含む。 (Service provider terminal)
The service provider terminal 6 according to the embodiment includes a recommended sharingrange setting section 600, an intervention module 601, and an information storage section 602.
実施形態に係るサービスプロバイダ端末6は、推奨共有範囲設定部600と、介入モジュール601と、情報記憶部602と、を含む。 (Service provider terminal)
The service provider terminal 6 according to the embodiment includes a recommended sharing
なお、サービスプロバイダ端末6の構成は、この例に限られない。例えば、サービスプロバイダ端末6は、上述した推奨共有範囲計算部203および推奨共有範囲通知部201を構成に含めてよい。また、サービスプロバイダ端末6は、上述した介入通知部200および推奨共有範囲通知部201を構成に含めてよい。
Note that the configuration of the service provider terminal 6 is not limited to this example. For example, the service provider terminal 6 may include the above-described recommended sharing range calculation unit 203 and recommended sharing range notification unit 201 in its configuration. Furthermore, the service provider terminal 6 may include the above-described intervention notification unit 200 and recommended sharing range notification unit 201 in its configuration.
これら推奨共有範囲設定部600、介入モジュール601および情報記憶部602の各部は、実施形態に係るサービスプロバイダ端末用プログラムが、サービスプロバイダ端末6が有するCPU上で実行されることで実現される。これに限らず、これら各部のうち一部または全部を、互いにっ協働して動作するハードウェア回路により実現してもよい。
The recommended sharing range setting unit 600, the intervention module 601, and the information storage unit 602 are realized by executing the service provider terminal program according to the embodiment on the CPU of the service provider terminal 6. The present invention is not limited to this, and some or all of these units may be realized by hardware circuits that operate in cooperation with each other.
サービスプロバイダ端末6において、CPUは、実施形態に係るサービスプロバイダ端末用プログラムが実行されることで、上述した推奨共有範囲設定部600、介入モジュール601および情報記憶部602を、サービスプロバイダ端末6が有するメモリにおける主記憶領域上に、それぞれ例えばモジュールとして構成する。
In the service provider terminal 6, the CPU executes the service provider terminal program according to the embodiment, so that the service provider terminal 6 has the above-mentioned recommended sharing range setting section 600, intervention module 601, and information storage section 602. Each of them is configured, for example, as a module on the main storage area of the memory.
当該サービスプロバイダ端末用プログラムは、サービスプロバイダ端末6が有する通信I/Fを介した通信により、例えばネットワークNを介して外部から取得し、当該サービスプロバイダ端末6上にインストールすることが可能とされている。これに限らず、当該サービスプロバイダ端末用プログラムは、外部からサービスプロバイダ端末6が有するデータI/Fを介して提供されてもよい。さらに、当該サービスプロバイダ端末用プログラムは、CDやDVD、USBメモリといった着脱可能な記憶媒体に記憶されて提供されてもよい。
The program for the service provider terminal can be acquired from the outside via the network N, for example, and installed on the service provider terminal 6 through communication via the communication I/F of the service provider terminal 6. There is. However, the program for the service provider terminal may be provided from outside via the data I/F of the service provider terminal 6. Furthermore, the service provider terminal program may be provided while being stored in a removable storage medium such as a CD, DVD, or USB memory.
(2-2.実施形態に係る情報処理システムによる処理の詳細)
ユーザ端末12において、生体情報取得部122は、ユーザの生体情報を取得する。例えば、生体情報取得部122は、センサ11により取得された各情報に基づき、ユーザの生体情報を取得してよい。生体情報取得部122は、ユーザが装着するウェアラブルデバイスからユーザの生体情報を取得してもよい。 (2-2. Details of processing by information processing system according to embodiment)
In theuser terminal 12, the biological information acquisition unit 122 acquires the user's biological information. For example, the biological information acquisition unit 122 may acquire the user's biological information based on each piece of information acquired by the sensor 11. The biological information acquisition unit 122 may acquire the user's biological information from a wearable device worn by the user.
ユーザ端末12において、生体情報取得部122は、ユーザの生体情報を取得する。例えば、生体情報取得部122は、センサ11により取得された各情報に基づき、ユーザの生体情報を取得してよい。生体情報取得部122は、ユーザが装着するウェアラブルデバイスからユーザの生体情報を取得してもよい。 (2-2. Details of processing by information processing system according to embodiment)
In the
生体情報取得部122は、生体情報に含まれる各情報を、それぞれデジタルバイオマーカ(以下、バイオマーカ)として取得する。バイオマーカは、例えば、ユーザの1日の歩数、ユーザの心拍数、心拍変動値、睡眠時間、睡眠時間の各フェーズ(レム睡眠など)の時間、皮膚温度、などのデジタル値であってよい。バイオマーカとして適用可能な値は、これらに限定されない。
The biological information acquisition unit 122 acquires each piece of information included in the biological information as a digital biomarker (hereinafter referred to as a biomarker). The biomarker may be, for example, a digital value such as the user's daily step count, the user's heart rate, heart rate variability value, sleep time, time of each phase of sleep time (such as REM sleep), skin temperature, and the like. Values applicable as biomarkers are not limited to these.
ユーザ端末12において、個人情報取得部123は、例えば当該ユーザ端末12を用いて実施形態に係る情報処理システム100aを利用するユーザのユーザ情報に含まれる、当該ユーザの属性情報および識別情報を取得する。
In the user terminal 12, the personal information acquisition unit 123 acquires the attribute information and identification information of the user, which is included in the user information of the user who uses the information processing system 100a according to the embodiment using the user terminal 12, for example. .
なお、以下では、特に記載の無い限り、「ユーザ端末12を用いて実施形態に係る情報処理システム100aを利用するユーザ」を、単に「ユーザ」として記載する。
Note that hereinafter, unless otherwise specified, "a user who uses the user terminal 12 to use the information processing system 100a according to the embodiment" will be simply referred to as a "user."
例えば、ユーザは、ユーザ端末12に対するユーザ操作により、属性情報および識別情報を入力する。個人情報取得部123は、入力されたこれら属性情報および識別情報を取得する。属性情報は、例えば、年齢、性別、身長、体重、居住地といった、そのユーザの属性を示す情報を含んでよい。識別情報は、そのユーザの名前、あるいは、例えば情報処理システム100aにより当該ユーザに発行された、当該ユーザにユニークな情報であってよい。
For example, the user inputs attribute information and identification information through a user operation on the user terminal 12. The personal information acquisition unit 123 acquires these input attribute information and identification information. The attribute information may include information indicating attributes of the user, such as age, gender, height, weight, and place of residence. The identification information may be the user's name, or information unique to the user, issued to the user by the information processing system 100a, for example.
個人情報取得部123は、さらに、ユーザに関するアンケート指標を取得し、当該ユーザのユーザ情報に含めてよい。アンケート指標は、例えば抑うつ指標のPHQ-9(Patient Health Questionnaire-9)や、ウェルビーイング指標のUWES(Utrecht Work Engagement Scale)、SWLS(Satisfaction With Life Scale)でなどあってよい。アンケート指標は、例えばユーザ操作によりユーザ端末12に入力され、個人情報取得部123に取得される。
The personal information acquisition unit 123 may further acquire questionnaire indicators regarding the user and include them in the user information of the user. The questionnaire index may be, for example, the depression index PHQ-9 (Patient Health Questionnaire-9), the well-being index UWES (Utrecht Work Engagement Scale), or SWLS (Satisfaction With Life Scale). The questionnaire index is input into the user terminal 12 by a user operation, for example, and is acquired by the personal information acquisition unit 123.
ユーザ端末12は、生体情報取得部122および個人情報取得部123により取得された各情報を、ユーザ情報として情報処理装置2に送信する。情報処理装置2は、情報保持部202により、ユーザ端末12から送信されたユーザ情報を、例えば情報処理装置2が有するストレージ装置2003に記憶し、保持する。
The user terminal 12 transmits each piece of information acquired by the biometric information acquisition unit 122 and the personal information acquisition unit 123 to the information processing device 2 as user information. The information processing apparatus 2 uses the information holding unit 202 to store and hold the user information transmitted from the user terminal 12 in, for example, a storage device 2003 that the information processing apparatus 2 has.
図10は、実施形態に係る情報保持部202により保持されるユーザ情報の例を示す模式図である。図10の例では、ユーザ情報は、項目「ID」と、項目「ID」の値に関連付けられる、「年齢」、「性別」、「バイオマーカ#1」、「バイオマーカ#2」、…、「バイオマーカ#N」および「PHQ-9」の各項目を含んでいる。
FIG. 10 is a schematic diagram showing an example of user information held by the information holding unit 202 according to the embodiment. In the example of FIG. 10, the user information includes the item "ID", "age", "gender", "biomarker # 1", "biomarker # 2", etc., which are associated with the value of the item "ID". Contains the following items: "Biomarker #N" and "PHQ-9".
項目「ID」は、ユーザを識別するための識別情報であるユーザIDが格納される。項目「ID」に格納されるユーザIDは、例えば情報処理装置2により各ユーザに対して設定してよい。項目「年齢」および「性別」は、項目「ID」のユーザの年齢および性別であって、当該ユーザの属性情報である。
The item "ID" stores a user ID, which is identification information for identifying a user. The user ID stored in the item "ID" may be set for each user by the information processing device 2, for example. The items “age” and “gender” are the age and gender of the user of the item “ID” and are attribute information of the user.
項目「バイオマーカ#1」、「バイオマーカ#2」、…、「バイオマーカ#N」は、それぞれ、項目「ID」のユーザの生体情報である。図の例では、各項目「ID」それぞれにN個のバイオマーカが関連付けられているが、これはこの例に限定されない。例えば、各項目「ID」は、それぞれ異なる数のバイオマーカが関連付けられていてもよい。
The items "Biomarker # 1", "Biomarker # 2", ..., "Biomarker #N" are the biometric information of the user of the item "ID", respectively. In the illustrated example, N biomarkers are associated with each item "ID," but this is not limited to this example. For example, each item "ID" may be associated with a different number of biomarkers.
項目「PHQ-9」は、項目「ID」のユーザのアンケート指標の1つである抑うつ指標のPHQ-9の値を示す。PHQ-9は、9項目のアンケート項目に対してそれぞれ0~3の値により回答した合計値により示される。
The item "PHQ-9" indicates the value of the depression index PHQ-9, which is one of the questionnaire indicators of the user of the item "ID". PHQ-9 is indicated by the total value of responses to nine questionnaire items, each with a value of 0 to 3.
図9の説明に戻り、ユーザ端末12において、共有範囲設定部124は、情報保持部202に保持されるユーザ情報に含まれる各情報のうち、サービスプロバイダに対して共有する情報を、例えばユーザ操作に応じて設定する。
Returning to the explanation of FIG. 9, in the user terminal 12, the sharing range setting unit 124 sets the information to be shared with the service provider from among the pieces of information included in the user information held in the information holding unit 202, for example, by user operation. Set accordingly.
例えば、共有範囲設定部124は、生体情報取得部122および個人情報取得部123により取得され情報処理装置2に送信されるユーザ情報の各項目を取得する。共有範囲設定部124は、取得されたユーザ情報の各項目のうち、サービスプロバイダとの共有を許可する項目の指定をユーザに促すための画面を、ユーザ端末12に表示させる。共有範囲設定部124は、ユーザが複数のサービスプロバイダによるサービスを利用している場合、この複数のサービスプロバイダごとに、共有を許可する項目の指定を促すための画面をユーザ端末12に表示させる。
For example, the sharing range setting unit 124 acquires each item of user information acquired by the biometric information acquisition unit 122 and the personal information acquisition unit 123 and transmitted to the information processing device 2. The sharing range setting unit 124 causes the user terminal 12 to display a screen for prompting the user to specify, among the items of the acquired user information, items to be allowed to be shared with the service provider. If the user is using services provided by multiple service providers, the sharing range setting unit 124 causes the user terminal 12 to display a screen for prompting the user to specify items to be allowed to be shared for each of the multiple service providers.
ユーザ端末12は、共有範囲設定部124による、サービスプロバイダに対して共有する情報の設定が完了すると、ユーザ情報の各項目に共有の可否を示すフラグが設定された情報(対サービスプロバイダ共有範囲情報と呼ぶ)を、情報処理装置2に送信する。対サービスプロバイダ共有範囲情報は、上述した、サービスプロバイダに対して共有を許可する情報を指定して設定された、ユーザ情報共有範囲に対応する。
When the sharing range setting unit 124 completes the setting of information to be shared with the service provider, the user terminal 12 stores information in which each item of user information is set with a flag indicating whether sharing is possible (sharing range information for service providers). ) is transmitted to the information processing device 2. The sharing range information for service providers corresponds to the above-mentioned user information sharing range that is set by specifying information that is permitted to be shared with the service provider.
情報処理装置2は、ユーザ端末12から送信された対サービスプロバイダ共有範囲情報を、対サービスプロバイダ共有範囲保持部205に記憶し、保持する。なお、図9では、対サービスプロバイダ共有範囲保持部205を対SP共有範囲保持部205として示している。また、以下では、「サービスプロバイダ」を「SP」として記述することがある。
The information processing device 2 stores and holds the service provider sharing range information transmitted from the user terminal 12 in the service provider sharing range holding unit 205. Note that in FIG. 9, the service provider sharing range holding unit 205 is shown as the SP sharing range holding unit 205. Further, hereinafter, "service provider" may be described as "SP".
図11は、実施形態に係る、対サービスプロバイダ共有範囲保持部205に記憶される対サービスプロバイダ共有範囲情報の例を示す模式図である。
FIG. 11 is a schematic diagram showing an example of service provider sharing range information stored in the service provider sharing range storage unit 205 according to the embodiment.
図11において、セクション(a)は、サービスプロバイダ#1(図ではSP#1として示す)に対して各ユーザに設定された、対サービスプロバイダ共有範囲情報の例を示し、セクション(b)は、サービスプロバイダ#1とは異なるサービスプロバイダ#2に対して各ユーザに設定された、対サービスプロバイダ共有範囲情報の例を示している。このように、対サービスプロバイダ共有範囲情報は、サービスプロバイダごとに保持される。
In FIG. 11, section (a) shows an example of service provider sharing range information set for each user for service provider #1 (shown as SP # 1 in the figure), and section (b) shows An example of service provider sharing range information set for each user for service provider # 2 different from service provider # 1 is shown. In this way, service provider sharing range information is held for each service provider.
セクション(a)および(b)は、項目が同一であるので、セクション(a)の例について説明する。
Sections (a) and (b) have the same items, so an example of section (a) will be described.
図11の例では、対サービスプロバイダ共有範囲情報は、図10に示した、情報保持部202に保持されるユーザ情報と対応する項目を含む。この例では、サービスプロバイダとの共有を許可する項目にはフラグ「OK」が、共有を許可しない項目にはフラグ「NG」がそれぞれ付されている。
In the example of FIG. 11, the service provider sharing range information includes items corresponding to the user information held in the information holding unit 202 shown in FIG. In this example, a flag "OK" is attached to items that are allowed to be shared with the service provider, and a flag "NG" is attached to items that are not allowed to be shared.
また、セクション(a)において、項目「ID」が値「002」のユーザの項目「年齢」に、フラグ「抽象」が付されている。フラグ「抽象」は、その項目の値を抽象化することで、共有を許可することを示している。換言すれば、これらフラグ「OK」、「NG」および「抽象」は、当該ユーザ情報の共有に係る条件を示しているといえる。
In addition, in section (a), the flag "abstract" is attached to the item "age" of the user whose item "ID" is the value "002". The flag "abstract" indicates that sharing is permitted by abstracting the value of the item. In other words, these flags "OK", "NG", and "abstract" can be said to indicate conditions related to sharing of the user information.
値の抽象化は、その値を具体的に示さずに、上位概念としての値を用いることで行ってよい。具体的な例として、項目「年齢」であれば、具体的な年齢を範囲の代表値で示して「10代」、「20代」、…などとすることが考えられる。また例えば、項目「バイオマーカ#1」の内容が「睡眠時間」であれば、具体的な睡眠時間を範囲の代表値で示して「5時間以上6時間未満」、「6時間以上7時間未満」、…などとすることが考えられる。このように、項目の値が数値で表される場合には、当該数値を範囲の代表値で示すことで、抽象化を行ってよい。
A value may be abstracted by using a value as a general concept without specifically indicating the value. As a specific example, in the case of the item "age", it is conceivable to indicate the specific age as a representative value of the range, such as "teens", "twenties", etc. For example, if the content of the item "Biomarker # 1" is "Sleep time", the specific sleep time can be indicated as a representative value of the range, "5 hours or more and less than 6 hours", "6 hours or more and less than 7 hours". ”, etc. In this way, when the value of an item is expressed as a numerical value, abstraction may be performed by representing the numerical value as a representative value of the range.
また、項目の値が数値以外であっても、抽象化が可能な場合がある。例えば、項目「出身地(出身県)」を考えると、出身地を示すより上位の値、例えば「関東地方」、「東北地方」、…を用いることで、抽象化を行ってよい。
Furthermore, even if the value of an item is other than a numerical value, it may be possible to abstract it. For example, considering the item "place of birth (prefecture of birth)", abstraction may be performed by using higher values indicating the place of birth, such as "Kanto region", "Tohoku region", etc.
図9の説明に戻り、情報処理装置2において、アクセス制御部204は、対サービスプロバイダ共有範囲保持部205に保持される対サービスプロバイダ共有範囲情報に基づき、情報保持部202保持されるユーザ情報から、サービスプロバイダに対する共有が許可された情報を取得する。このとき、アクセス制御部204は、対サービスプロバイダ共有範囲情報においてフラグ「抽象」が付されている項目については、当該項目の値を加工し、上述したようにして抽象化する。なお、抽象化の方法については、例えば項目ごとに予め定められていてよい。
Returning to the explanation of FIG. 9, in the information processing device 2, the access control unit 204 extracts the user information held in the information holding unit 202 based on the service provider sharing range information held in the service provider sharing range holding unit 205. , obtain the information you are authorized to share with the service provider. At this time, the access control unit 204 processes the value of the item to which the flag "abstract" is attached in the shared range information for service providers, and abstracts it as described above. Note that the abstraction method may be determined in advance for each item, for example.
アクセス制御部204は、情報保持部202から取得した、抽象化された情報を含む各情報を、対応するユーザのユーザIDと関連付けてサービスプロバイダ端末6に送信する。サービスプロバイダ端末6は、アクセス制御部204から送信された各情報を、ユーザを識別するユーザIDと関連付けて、情報記憶部602に記憶する。
The access control unit 204 associates each piece of information, including abstracted information, acquired from the information holding unit 202 with the user ID of the corresponding user, and transmits the information to the service provider terminal 6. The service provider terminal 6 stores each piece of information transmitted from the access control unit 204 in the information storage unit 602 in association with a user ID that identifies the user.
図12は、実施形態に係る、アクセス制御部204による処理を示す一例のフローチャートである。
FIG. 12 is a flowchart of an example of processing by the access control unit 204 according to the embodiment.
ステップS100で、情報処理装置2は、サービスプロバイダ端末6による、ユーザによりサービスプロバイダに対する共有が許可された情報の要求を取得する。この要求には、対象のユーザを識別するユーザIDを含んでよい。情報処理装置2は、取得した要求をアクセス制御部204に渡す。次のステップS101で、アクセス制御部204は、ステップS100で取得された要求に応じて、対サービスプロバイダ共有範囲保持部205に保持される、対象ユーザのユーザIDに対応し、且つ、ステップS100で取得した要求の発信元のサービスプロバイダに関連付けられた対サービスプロバイダ共有範囲情報を取得する。
In step S100, the information processing device 2 obtains a request from the service provider terminal 6 for information that the user has authorized to share with the service provider. This request may include a user ID that identifies the target user. The information processing device 2 passes the obtained request to the access control unit 204. In the next step S101, the access control unit 204, in response to the request obtained in step S100, selects a user ID that corresponds to the user ID of the target user held in the service provider sharing range holding unit 205 and that is set in step S100. Obtain service provider sharing range information associated with the service provider that is the originator of the obtained request.
次のステップS102で、アクセス制御部204は、ステップS102で取得した対サービスプロバイダ共有範囲情報に含まれる各項目について、フラグを取得し、取得したフラグがフラグ「OK」、フラグ「NG」およびフラグ「抽象」の何れであるかを判定する。
In the next step S102, the access control unit 204 obtains flags for each item included in the shared range information for service providers obtained in step S102, and selects the obtained flags as "OK", "NG", and "NG". Determine whether it is "abstract".
ステップS102において、アクセス制御部204は、フラグ「OK」が付された項目については(ステップS102、「OK」)、ステップS103の処理を実行する。ステップS103で、アクセス制御部204は、情報保持部202に保持される、対象ユーザのユーザIDに係るユーザ情報のうち、当該項目に格納されるデータを、そのままサービスプロバイダ端末6に送信する。
In step S102, the access control unit 204 executes the process of step S103 for the item with the flag "OK" (step S102, "OK"). In step S103, the access control unit 204 transmits the data stored in the relevant item out of the user information related to the user ID of the target user held in the information holding unit 202 to the service provider terminal 6 as is.
ステップS102において、アクセス制御部204は、フラグ「NG」が付された項目については(ステップS102、「NG」)、ステップS104の処理を実行する。ステップS104で、アクセス制御部204は、情報保持部202に保持される、対象ユーザのユーザIDに係るユーザ情報のうち、当該項目に格納されるデータの取得を行わない。
In step S102, the access control unit 204 executes the process in step S104 for the items flagged with "NG" (step S102, "NG"). In step S<b>104 , the access control unit 204 does not acquire the data stored in the item in the user information related to the user ID of the target user held in the information holding unit 202 .
ステップS102において、アクセス制御部204は、フラグ「抽象」が付された項目については(ステップS102、「抽象」)、ステップS105の処理を実行する。ステップS105で、アクセス制御部204は、情報保持部202に保持される、対象ユーザのユーザIDに係るユーザ情報のうち、当該項目に格納されるデータを、当該項目に指定される抽象化方法に従い加工し、抽象化する。アクセス制御部204は、当該項目の抽象化されたデータを、サービスプロバイダ端末6に送信する。
In step S102, the access control unit 204 executes the process of step S105 for the item to which the flag "abstract" is attached (step S102, "abstract"). In step S105, the access control unit 204 selects the data stored in the item from among the user information related to the user ID of the target user held in the information storage unit 202 according to the abstraction method specified in the item. Process and abstract. The access control unit 204 transmits the abstracted data of the item to the service provider terminal 6.
サービスプロバイダ端末6は、ステップS103およびステップS105でアクセス制御部204から送信された各データを、ユーザIDおよび各項目と関連付けて、情報記憶部602に記憶する。
The service provider terminal 6 stores each data transmitted from the access control unit 204 in steps S103 and S105 in the information storage unit 602 in association with the user ID and each item.
サービスプロバイダ端末6において、介入モジュール601は、情報記憶部602に記憶される情報に基づき、当該情報に係るユーザIDのユーザのユーザ端末12に対して、介入メッセージを送信する。
In the service provider terminal 6, the intervention module 601 transmits an intervention message to the user terminal 12 of the user with the user ID related to the information, based on the information stored in the information storage unit 602.
図13は、実施形態に係る、介入モジュール601による処理を示す一例のフローチャートである。
FIG. 13 is a flowchart of an example of processing by the intervention module 601 according to the embodiment.
ステップS200で、介入モジュール601は、情報記憶部602に記憶されるデータから、ユーザIDに基づきユーザ単位でデータを取得する。介入モジュール601は、例えば、ユーザ単位で、バイオマーカなどのデータを取得する。次のステップS201で、介入モジュール601は、ステップS200で取得したデータに基づき、介入モジュール601による動作を決定する。
In step S200, the intervention module 601 acquires data for each user based on the user ID from the data stored in the information storage unit 602. The intervention module 601 acquires data such as biomarkers for each user, for example. In the next step S201, the intervention module 601 determines an operation to be performed by the intervention module 601 based on the data obtained in step S200.
次のステップS202で、介入モジュール601は、ステップS201で決定した動作を、対象のユーザに通知する。より具体的には、介入モジュール601は、ステップS201で決定した動作を示す情報を、情報処理装置2に送信する。情報処理装置2は、介入モジュール601から送信された情報を介入通知部200に渡す。介入通知部200は、渡された情報を、対象ユーザのユーザ端末12に送信する。ユーザ端末12は、介入通知部200から送信された情報を介入提示部120に渡す。介入提示部120は、渡された情報に基づき、介入モジュール601による介入動作を、例えば画面表示を用いてユーザに提示する。
In the next step S202, the intervention module 601 notifies the target user of the action determined in step S201. More specifically, the intervention module 601 transmits information indicating the action determined in step S201 to the information processing device 2. The information processing device 2 passes the information transmitted from the intervention module 601 to the intervention notification unit 200. The intervention notification unit 200 transmits the passed information to the user terminal 12 of the target user. The user terminal 12 passes the information transmitted from the intervention notification section 200 to the intervention presentation section 120. Based on the passed information, the intervention presentation unit 120 presents the intervention operation by the intervention module 601 to the user using, for example, a screen display.
介入モジュール601による処理について、具体的な例を用いて説明する。一例として、サービスプロバイダが、対象のユーザに対して、行動活性化の認知行動療法による介入を行い、対象ユーザの1日の歩数に応じて、対象ユーザに対して所定の行動を促すものとする。
The processing by the intervention module 601 will be explained using a specific example. As an example, a service provider may intervene with a target user using cognitive behavioral therapy for behavioral activation, and encourage the target user to take a predetermined behavior according to the number of steps the target user takes in a day. .
介入モジュール601は、情報記憶部602から、対象ユーザのデータを取得する(ステップS200)。ここで、取得したデータに、バイオマーカとしての1日の歩数が含まれるものとする。介入モジュール601は、データに含まれる1日の歩数に基づき対象ユーザに対する介入の動作を決定する(ステップS201)。例えば、介入モジュール601は、取得した対象ユーザのデータに含まれる1日の歩数に対して閾値判定を行い、対象ユーザに対する動作を決定する。
The intervention module 601 acquires the target user's data from the information storage unit 602 (step S200). Here, it is assumed that the acquired data includes the number of steps per day as a biomarker. The intervention module 601 determines an intervention action for the target user based on the number of steps per day included in the data (step S201). For example, the intervention module 601 performs a threshold determination on the number of steps per day included in the acquired data of the target user, and determines the action for the target user.
具体的な例として、閾値が「1万歩」であり、取得したデータに含まれる1日の歩数が閾値未満の場合に、介入モジュール601は、「1日1万歩以上歩くように行動目標を立てよう!」といった、対象ユーザに対して所定の行動を促すメッセージを作成あるいは取得し、対象ユーザに通知する(ステップS202)。
As a specific example, if the threshold is "10,000 steps" and the number of steps per day included in the acquired data is less than the threshold, the intervention module 601 may set a behavioral goal of "walking at least 10,000 steps per day." Create or obtain a message urging the target user to take a predetermined action, such as "Let's take action!", and notify the target user (step S202).
介入モジュール601は、対象ユーザに通知するためのメッセージを、1日の歩数ごとに予め有していてもよいし、人工知能などを用いてその都度、生成してもよい。介入モジュール601は、このような、ルールベースの介入方法を用いて、対象ユーザへの介入を行ってよい。
The intervention module 601 may have a message to notify the target user in advance for each number of steps in a day, or may generate it each time using artificial intelligence or the like. The intervention module 601 may perform the intervention on the target user using such a rule-based intervention method.
介入モジュール601による動作は、認知行動療法の行動活性化に限定されるものではない。介入モジュール601は、例えば、ネットワークを介した会話(チャット)を人工知能を用いて自動的に実行するチャットボットを用いて、対象ユーザとの間で擬似的に会話を行ってもよい。また、介入モジュール601は、対象ユーザのデータに含まれる現在のバイオマーカの値から推測できる、適切な語りかけを、対象ユーザに対して行ってもよい。
The operation by the intervention module 601 is not limited to behavioral activation in cognitive behavioral therapy. The intervention module 601 may use a chatbot that automatically executes a conversation (chat) via a network using artificial intelligence to have a simulated conversation with the target user, for example. The intervention module 601 may also speak to the target user in an appropriate manner that can be inferred from the current biomarker value included in the target user's data.
情報処理装置2において、推奨共有範囲計算部203は、サービスプロバイダ端末6の推奨共有範囲設定部600により設定された変数を推論するためのデータを、ユーザ情報の各項目のデータから算出する。推奨共有範囲計算部203は、算出したデータを、推奨共有範囲通知部201に渡す。推奨共有範囲通知部201は、推奨共有範囲計算部203から渡されたデータを、対象ユーザに対して共有を期待する期待共有範囲を示す期待共有範囲情報として、ユーザ端末12に送信する。
In the information processing device 2, the recommended sharing range calculation unit 203 calculates data for inferring the variables set by the recommended sharing range setting unit 600 of the service provider terminal 6 from the data of each item of user information. The recommended sharing range calculation unit 203 passes the calculated data to the recommended sharing range notification unit 201. The recommended sharing range notification unit 201 transmits the data passed from the recommended sharing range calculation unit 203 to the user terminal 12 as expected sharing range information indicating the expected sharing range that the target user is expected to share.
このように、推奨共有範囲計算部203は、ユーザ情報に対してサービスプロバイダが共有を期待する期待共有範囲を取得する共有範囲取得部として機能する。また、推奨共有範囲計算部203および推奨共有範囲通知部201は、期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲をユーザ情報に対応するユーザ端末に送信する処理部として機能する。
In this way, the recommended sharing range calculation unit 203 functions as a sharing range acquisition unit that obtains the expected sharing range that the service provider expects to share with respect to user information. In addition, the recommended sharing range calculation unit 203 and the recommended sharing range notification unit 201 function as a processing unit that transmits the recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to the user terminal corresponding to the user information. .
ユーザ端末12は、推奨共有範囲通知部201から送信された期待共有範囲情報を、共有範囲提示部121に渡す。共有範囲提示部121は、渡された期待共有範囲情報に基づき、ユーザ情報(生体情報および個人情報)に含まれる各項目のうち、共有が期待される項目を示す画面をユーザ端末12に表示させ、ユーザに提示する。
The user terminal 12 passes the expected sharing range information transmitted from the recommended sharing range notification unit 201 to the sharing range presentation unit 121. Based on the passed expected sharing range information, the sharing range presentation unit 121 causes the user terminal 12 to display a screen showing items that are expected to be shared among the items included in the user information (biometric information and personal information). , presented to the user.
図14は、実施形態に係る期待共有範囲の提示方法を示す一例のフローチャートである。図14のフローチャートは、サービスプロバイダ端末6の処理と、情報処理装置2の処理と、を含む。
FIG. 14 is a flowchart of an example of a method of presenting the expected sharing range according to the embodiment. The flowchart in FIG. 14 includes processing of the service provider terminal 6 and processing of the information processing device 2.
ステップS300で、サービスプロバイダ端末6は、推奨共有範囲設定部600により、例えばサービスプロバイダの指示に従い、対象ユーザのユーザIDに関連付けられたユーザ情報に基づき推論を行う推論対象の変数を決定する。次のステップS301で、推奨共有範囲設定部600は、決定した推論対象の変数を示す情報を、情報処理装置2に送信する。
In step S300, the service provider terminal 6 uses the recommended sharing range setting unit 600 to determine, for example, a variable to be inferred based on the user information associated with the user ID of the target user, in accordance with instructions from the service provider. In the next step S301, the recommended sharing range setting unit 600 transmits information indicating the determined inference target variable to the information processing device 2.
次のステップS302で、情報処理装置2は、推奨共有範囲計算部203により、推奨共有範囲設定部600から送信された推論対象の変数を示す情報に応じて、情報保持部202に保持される、対象ユーザのユーザ情報に基づき推論対象の変数を計算する。推奨共有範囲計算部203は、例えば、各ユーザのユーザ情報に含まれる各項目による各組み合わせについて、各項目を説明変数として教師あり学習を行う。推奨共有範囲計算部203は、この学習による学習モデルを用いて、各組み合わせについて、変数の推論精度をそれぞれ計算する。推奨共有範囲計算部203は、計算した各推論精度を、推奨共有範囲通知部201に渡す。
In the next step S<b>302 , the information processing device 2 causes the recommended sharing range calculation unit 203 to store, in the information holding unit 202 , according to the information indicating the inference target variable transmitted from the recommended sharing range setting unit 600 . A variable to be inferred is calculated based on the user information of the target user. For example, the recommended sharing range calculation unit 203 performs supervised learning for each combination of each item included in the user information of each user, using each item as an explanatory variable. The recommended sharing range calculation unit 203 calculates the inference accuracy of the variables for each combination using the learning model based on this learning. The recommended sharing range calculation unit 203 passes each calculated inference accuracy to the recommended sharing range notification unit 201.
次のステップS303で、推奨共有範囲通知部201は、各ユーザが現在共有を許可している組み合わせに基づき、推論精度が低い組み合わせで各項目の共有を許可しているユーザに対して、共有範囲を変更するように促す通知を送信する。
In the next step S303, the recommended sharing range notification unit 201 sends a sharing range to users who are allowed to share each item with combinations with low inference accuracy based on the combinations that each user is currently allowed to share. Send you a notification reminding you to make changes.
より具体的には、推奨共有範囲通知部201は、ステップS302で推奨共有範囲計算部203により各項目の組み合わせごとに計算された各推論精度のうち、各ユーザに共有が許可されている項目の各組み合わせによる各推論精度を抽出する。推奨共有範囲通知部201は、抽出した各推論精度に基づき、ステップS302で計算された各推論精度のうち最も高い精度の推論結果よりも低い推論結果とされた項目の組み合わせの共有を許可しているユーザを特定する。推奨共有範囲通知部201は、特定されたユーザに対して、共有範囲を期待共有範囲に変更するように促す通知を送信する。
More specifically, the recommended sharing range notifying unit 201 determines which items each user is permitted to share among the inference accuracies calculated for each combination of items by the recommended sharing range calculation unit 203 in step S302. Extract each inference accuracy for each combination. Based on each of the extracted inference accuracies, the recommended sharing range notification unit 201 allows sharing of combinations of items for which the inference result is lower than the inference result with the highest accuracy among the inference accuracies calculated in step S302. Identify the users who are present. The recommended sharing range notification unit 201 sends a notification to the specified user to prompt the user to change the sharing range to the expected sharing range.
一例として、サービスプロバイダは、抑うつ指標であるPHQ-9による指標を推論対象の変数として決定したものとする(ステップS300)。また、推奨共有範囲計算部203による計算結果に基づき、ユーザ情報に含まれる各情報のうち睡眠時間と、1日の歩数との組み合わせを用いた場合に、最も高い推論精度でPHQ-9の指標が推論されたものとする(ステップS302)。
As an example, assume that the service provider has determined an index based on the PHQ-9, which is a depression index, as a variable to be inferred (step S300). Furthermore, based on the calculation results by the recommended sharing range calculation unit 203, the PHQ-9 index with the highest inference accuracy when using a combination of sleep time and the number of steps per day among the various pieces of information included in the user information. It is assumed that the following has been inferred (step S302).
推奨共有範囲通知部201は、この組み合わせによる推論精度よりも低い推論精度の組み合わせによる各項目を共有しているユーザに対して、共有範囲の変更を促すメッセージを、その理由と共にユーザに通知する。推奨共有範囲通知部201は、例えば「PHQ-9の精度を向上させるには、睡眠時間と1日の歩数とを共有した方が良いですよ」といった、共有範囲の変更を促すメッセージを、その理由を付して、対象の各ユーザのユーザ端末12に送信する。
The recommended sharing range notification unit 201 notifies a user who is sharing each item resulting from a combination of inference accuracy lower than that of this combination, a message urging the user to change the sharing range, along with the reason. The recommended sharing range notification unit 201 sends a message urging the user to change the sharing range, such as "To improve the accuracy of PHQ-9, it is better to share your sleep time and daily step count." It is sent to the user terminal 12 of each target user along with the reason.
(2-3.実施形態に係る表示例)
次に、実施形態に係る、ユーザ端末12における画面の表示例について説明する。 (2-3. Display example according to embodiment)
Next, a display example of the screen on theuser terminal 12 according to the embodiment will be described.
次に、実施形態に係る、ユーザ端末12における画面の表示例について説明する。 (2-3. Display example according to embodiment)
Next, a display example of the screen on the
図15は、実施形態に係るユーザ端末用プログラムによりユーザ端末12に表示される初期画面の例を示す模式図である。図15において、ユーザ端末12は、表示デバイス1220に対して初期画面80を表示させる。この例では、初期画面80は、設定ボタン800と、介入メッセージ表示領域801と、バイオマーカ値表示領域802と、を含む。なお、初期画面80に含まれる各部およびレイアウトは一例であり、この例に限定されるものではない。
FIG. 15 is a schematic diagram showing an example of an initial screen displayed on the user terminal 12 by the user terminal program according to the embodiment. In FIG. 15, the user terminal 12 causes the display device 1220 to display an initial screen 80. In this example, the initial screen 80 includes a settings button 800, an intervention message display area 801, and a biomarker value display area 802. Note that each part and layout included in the initial screen 80 are merely examples, and the present invention is not limited to this example.
設定ボタン800は、当該ユーザ端末用プログラムに係る各種の設定を行うためのボタンである。設定ボタン800を操作することにより、後述する、ユーザ情報の共有範囲を設定するための共有範囲設定画面を表示させることができる。介入メッセージ表示領域801は、サービスプロバイダ端末6の介入モジュール601により出力され、情報処理装置2を介して当該ユーザ端末12に送信された介入メッセージが表示される。バイオマーカ値表示領域802は、例えばセンサ11により取得された生体情報に基づく値が表示される。図の例では、バイオマーカ値表示領域802に対して、「歩数(1日の歩数)」と、「睡眠状態(例えば睡眠時間)」とが表示されている。
The settings button 800 is a button for performing various settings related to the user terminal program. By operating the settings button 800, a sharing range setting screen for setting the sharing range of user information, which will be described later, can be displayed. The intervention message display area 801 displays an intervention message output by the intervention module 601 of the service provider terminal 6 and transmitted to the user terminal 12 via the information processing device 2. In the biomarker value display area 802, for example, a value based on biological information acquired by the sensor 11 is displayed. In the illustrated example, "number of steps (number of steps per day)" and "sleep state (for example, sleep time)" are displayed in the biomarker value display area 802.
図16は、実施形態に係る共有範囲設定画面の例を示す模式図である。図16に示される共有範囲設定画面82は、設定ボタン800に対する操作に応じて、ユーザ端末12において例えば共有範囲設定部124により表示される。
FIG. 16 is a schematic diagram showing an example of a sharing range setting screen according to the embodiment. The sharing range setting screen 82 shown in FIG. 16 is displayed by, for example, the sharing range setting unit 124 on the user terminal 12 in response to an operation on the setting button 800.
なお、図16では、共有範囲設定画面82は、サービスプロバイダ#1について、ユーザ情報の共有範囲を設定するものとして示されている。共有範囲設定部124は、共有範囲設定画面82にどのサービスプロバイダに関する共有範囲を表示させるかを指定するための画面を、例えば設定ボタン800に対する操作に応じて表示させてよい。
Note that in FIG. 16, the sharing range setting screen 82 is shown for setting the sharing range of user information for service provider # 1. The sharing range setting unit 124 may display a screen for specifying which service provider's sharing range is to be displayed on the sharing range setting screen 82, for example, in response to an operation on the setting button 800.
図16において、共有範囲設定画面82は、ユーザ情報に含まれる各項目について共有の可否あるいは抽象化を示すフラグを設定するフラグ設定部820a~820dが設けられている。図16の例では、フラグ設定部820a、820b、820cおよび820dは、それぞれユーザ情報に含まれる個人情報による項目「年齢」および「性別」、ならびに、生体情報(バイオマーカ)による項目「歩数」および「睡眠時間」の各項目について共有の可否あるいは抽象化を示すフラグを設定する。
In FIG. 16, the sharing range setting screen 82 is provided with flag setting units 820a to 820d that set flags indicating whether sharing is possible or abstracted for each item included in the user information. In the example of FIG. 16, flag setting units 820a, 820b, 820c, and 820d respectively set the items "age" and "gender" based on personal information included in the user information, and the items "step count" and "number of steps" based on biometric information (biomarker). A flag is set for each item of "sleep time" to indicate whether it can be shared or abstracted.
図16の表示は一例であって、共有範囲設定画面82は、さらに多くのフラグ設定部が設けられてよい。また、共有範囲設定画面82の表示範囲内に全てのフラグ設定部が表示しきれない場合、画面の切り替えやスクロールなどにより、表示しきれなかったフラグ設定部を表示させてよい。
The display in FIG. 16 is an example, and the sharing range setting screen 82 may include more flag setting sections. Furthermore, if all flag setting sections cannot be displayed within the display range of the shared range setting screen 82, the flag setting sections that cannot be displayed may be displayed by switching or scrolling the screen.
各フラグ設定部820a~820dは、それぞれノブ822を有するスイッチ部821を含む。スイッチ部821において、ユーザ操作によりノブ822を左にずらすと対応する項目の共有が不可に、ノブ822を右にずらすと対応する項目の共有が許可に、それぞれ設定される。なお、各フラグ設定部820a~820dは、後述するように、抽象化した場合に共有を許可するための操作子を設けてよい。
Each of the flag setting sections 820a to 820d includes a switch section 821 having a knob 822, respectively. In the switch unit 821, when a knob 822 is moved to the left by a user operation, sharing of the corresponding item is disabled, and when the knob 822 is shifted to the right, sharing of the corresponding item is set to be allowed. Note that each of the flag setting units 820a to 820d may be provided with an operator for permitting sharing when abstracted, as will be described later.
フラグ設定部820a~820dにおいて、ユーザ操作によりスイッチ部821以外の部分(背景部分と呼ぶ)を操作することができる。背景部分を操作されたフラグ設定部に対応する項目の共有が不可に設定され、且つ、当該項目に対してサービスプロバイダから共有が促されている場合、共有範囲設定部124は、推奨共有範囲通知部201から通知された、共有範囲の変更を促すメッセージを、その理由と共に、当該フラグ設定部に対応する位置に表示させる。
In the flag setting sections 820a to 820d, a portion other than the switch section 821 (referred to as a background section) can be operated by a user operation. If sharing of the item corresponding to the flag setting section whose background part has been operated is set to be disabled, and sharing is encouraged by the service provider for the item, the sharing range setting section 124 sends a recommended sharing range notification. A message that prompts the change of the sharing range notified from the section 201 is displayed along with the reason at a position corresponding to the flag setting section.
図16の例では、フラグ設定部820a~820bのうち、共有が不可とされているフラグ設定部820cおよび820dに対して、それぞれ共有範囲の変更を促すメッセージ823aおよび823bが、それぞれの理由を含めて表示されている。また、図16の例では、共有範囲の変更を促すメッセージ823aおよび823bが表示されるフラグ設定部820cおよび820dの背景部分の色が、その他のフラグ設定部820aおよび820bに対して変更されている。これにより、共有範囲の変更が促される項目が強調される。
In the example of FIG. 16, among the flag setting sections 820a to 820b, messages 823a and 823b prompting the flag setting sections 820c and 820d, which are not allowed to be shared, to change the sharing range, including the respective reasons is displayed. Furthermore, in the example of FIG. 16, the color of the background portion of flag setting sections 820c and 820d where messages 823a and 823b prompting changes in the sharing range are displayed is changed from that of other flag setting sections 820a and 820b. . This highlights items that prompt changes in the sharing scope.
情報処理装置2は、サービスプロバイダ端末6において推論の対象とされている値(推論対象値と呼ぶ)を推論対象値保持部206に保持してよい。情報処理装置2は、推論対象値を推奨共有範囲計算部203から取得して、推論対象値保持部206に記憶させ、保持する。
The information processing device 2 may hold, in the inference target value holding unit 206, a value that is the target of inference at the service provider terminal 6 (referred to as an inference target value). The information processing device 2 acquires the inference target value from the recommended sharing range calculation unit 203, stores it in the inference target value storage unit 206, and holds it.
図17は、実施形態に係る推論対象値保持部206が推論対象値を保持する推論対象値テーブルの例を示す模式図である。図17において、推論対象値テーブルは、それぞれSP#1、SP#2、…、SP#Kで示されるサービスプロバイダごとに、各推論対象値を推論対象とするか否かを示すフラグが格納される。推論対象値は、「PHQ-9」および「GAD7(Generalized Anxiety Disorder -7)」といった主観評価値を適用してもよいし、「睡眠量増加」といった改善度合いを推測する値を適用してもよい。
FIG. 17 is a schematic diagram showing an example of an inference target value table in which the inference target value holding unit 206 according to the embodiment holds inference target values. In FIG. 17, the inference target value table stores flags indicating whether or not each inference target value is to be inferred for each service provider indicated by SP# 1, SP# 2, ..., SP#K. Ru. As the inference target value, subjective evaluation values such as "PHQ-9" and "GAD7 (Generalized Anxiety Disorder -7)" may be applied, or values that estimate the degree of improvement such as "increase in sleep amount" may be applied. good.
図17の例では、推論対象値テーブルは、サービスプロバイダ(SP#1)が、「PHQ-9」および「睡眠量増加」を推論対象値としていることを示すフラグ「Yes」が格納され、「GAD7」を推論対象値としていないことを示すフラグ「No」が格納されている。同様に、サービスプロバイダ(SP#2)が、「PHQ-9」および「GAD7」に対してフラグ「No」が格納され、「睡眠量増加」に対してフラグ「Yes」が格納されている。
In the example of FIG. 17, the inference target value table stores a flag "Yes" indicating that the service provider (SP#1) has set "PHQ-9" and "increase in sleep amount" as inference target values, and " A flag "No" indicating that "GAD7" is not the inference target value is stored. Similarly, for the service provider (SP#2), a flag "No" is stored for "PHQ-9" and "GAD7", and a flag "Yes" is stored for "increase in sleep amount".
情報処理装置2は、推論対象値保持部206に格納される推論対象値テーブルを、ユーザ端末12に送信してよい。ユーザ端末12は、例えば図16を用いて説明したような構成の画面を用いて、推論対象テーブルをユーザに提示してよい。この場合、図16の各フラグ設定部820a~820dを、各推論対象値による推論を行うか否かを示すフラグを設定する設定部とする。図17の例を参照すると、例えば、サービスプロバイダ#1に対して、フラグ設定部820aが「PHQ-9」、フラグ設定部820bが「GAD7」、フラグ設定部820cが「睡眠量増加」、…による推論を行うか否かを、それぞれ設定する設定部とする。
The information processing device 2 may transmit the inference target value table stored in the inference target value holding unit 206 to the user terminal 12. The user terminal 12 may present the inference target table to the user using, for example, a screen configured as described using FIG. 16. In this case, each of the flag setting units 820a to 820d in FIG. 16 is used as a setting unit that sets a flag indicating whether or not to perform inference using each inference target value. Referring to the example of FIG. 17, for example, for service provider # 1, the flag setting section 820a is "PHQ-9", the flag setting section 820b is "GAD7", the flag setting section 820c is "increase in sleep amount", etc. The setting section sets whether or not to perform inference based on the above.
また、実施形態に係るユーザ端末12は、ユーザがどのサービスプロバイダに対して、どの項目の共有を、許可、不可、あるいは抽象化した場合に許可しているかを、可視化してユーザに提示することができる。
In addition, the user terminal 12 according to the embodiment can visualize and present to the user which service provider the user is allowed to share which item, which item is allowed, not allowed, or in the case of abstraction. I can do it.
図18は、実施形態に係る、ユーザのサービスプロバイダに対する共有の状況をサービスプロバイダごとに可視化する共有状況可視化画面の例を示す模式図である。例えば、ユーザ端末12は、情報処理装置2から対サービスプロバイダ共有範囲保持部205が保持する対サービスプロバイダ共有範囲情報を取得する。ユーザ端末12において、例えば共有範囲設定部124は、取得した対サービスプロバイダ共有範囲情報に基づき、図18に示される共有状況可視化画面83を表示する。
FIG. 18 is a schematic diagram showing an example of a sharing status visualization screen that visualizes the sharing status of users with service providers for each service provider, according to the embodiment. For example, the user terminal 12 acquires service provider sharing range information held by the service provider sharing range holding unit 205 from the information processing device 2 . In the user terminal 12, for example, the sharing range setting unit 124 displays a sharing status visualization screen 83 shown in FIG. 18 based on the acquired service provider sharing range information.
図18において、共有状況可視化画面83は、各列がサービスプロバイダ#1、#2、…、#N(図ではSP#1、SP#2、…、SP#Nとして示す)を示し、各行がユーザ情報に含まれる各項目を示している。なお、各項目において、バイオマーカが「BM」として示されている。
In FIG. 18, in the sharing status visualization screen 83, each column indicates service provider # 1, #2, ..., #N (shown as SP# 1, SP# 2, ..., SP#N in the figure), and each row indicates Each item included in the user information is shown. Note that in each item, the biomarker is indicated as "BM".
共有状況可視化画面83において、領域830は、列方向に示されるサービスプロバイダにおける、行方向に示される項目に対する共有状況が表示される。領域830において、表示831は、当該項目の共有の可否の状況が示される。この例では、表示831が「OK」で許可、「NG」で不可、「ABST」で抽象化した場合に許可、をそれぞれ示している。
In the sharing status visualization screen 83, an area 830 displays the sharing status for the items shown in the row direction for the service providers shown in the column direction. In the area 830, a display 831 shows the status of whether the item can be shared. In this example, the display 831 indicates "OK" to indicate permission, "NG" to disallow, and "ABST" to indicate permission when abstracted.
また、ユーザ端末12は、共有状況可視化画面83に対するユーザ操作に応じて、各サービスプロバイダに対する各項目の共有の可否を編集することを可能としてよい。図18の例では、領域830は、ノブ833を有するスイッチ部832と、チェックボックス834と、を含む。スイッチ部832は、図16に示した共有範囲設定画面82と同様に、ユーザ操作によりノブ833を左にずらすと対応する項目の共有が不可に、ノブ833を右にずらすと対応する項目の共有が許可に、それぞれ設定される。チェックボックス834は、ノブ833が右にずらされた状態で、ユーザ操作によりチェックを外すことで、当該項目を、抽象化した場合に共有を許可するように設定される。チェックボックス834は、例えばノブ833が右にずらされた状態で操作可能とすると、誤操作が防止でき好ましい。
Additionally, the user terminal 12 may be able to edit whether or not each item can be shared with each service provider in response to a user operation on the sharing status visualization screen 83. In the example of FIG. 18, area 830 includes a switch section 832 having a knob 833 and a check box 834. Similar to the sharing range setting screen 82 shown in FIG. 16, the switch section 832 allows the user to move the knob 833 to the left to disable sharing of the corresponding item, and to shift the knob 833 to the right to disable sharing of the corresponding item. are set to permission respectively. When the check box 834 is unchecked by a user operation while the knob 833 is shifted to the right, the item is set to permit sharing when the item is abstracted. It is preferable that the check box 834 be made operable when the knob 833 is shifted to the right, for example, to prevent erroneous operation.
このチェックボックス834の機能は、図16に示した共有範囲設定画面82に適用してもよい。
The function of this check box 834 may be applied to the sharing range setting screen 82 shown in FIG. 16.
(3.実施形態の第1の変形例)
次に、実施形態の第1の変形例について説明する。上述した実施形態では、図14を用いて説明したように、推奨共有範囲計算部203は、全ての項目の組み合わせについて、推論精度を算出していた。これに対して、実施形態の第1の変形例では、各項目に基づく推論を行わず、サービスプロバイダが推奨共有範囲のセットを、そのセットの理由と共に複数用意するようにしている。 (3. First modification of the embodiment)
Next, a first modification of the embodiment will be described. In the embodiment described above, as described using FIG. 14, the recommended sharingrange calculation unit 203 calculated the inference accuracy for all combinations of items. On the other hand, in the first modified example of the embodiment, the service provider does not perform inference based on each item, but instead prepares a plurality of sets of recommended sharing ranges along with the reasons for the sets.
次に、実施形態の第1の変形例について説明する。上述した実施形態では、図14を用いて説明したように、推奨共有範囲計算部203は、全ての項目の組み合わせについて、推論精度を算出していた。これに対して、実施形態の第1の変形例では、各項目に基づく推論を行わず、サービスプロバイダが推奨共有範囲のセットを、そのセットの理由と共に複数用意するようにしている。 (3. First modification of the embodiment)
Next, a first modification of the embodiment will be described. In the embodiment described above, as described using FIG. 14, the recommended sharing
図19は、実施形態の第1の変形例に係る処理を示す一例のフローチャートである。ステップS400で、サービスプロバイダ端末6において推奨共有範囲設定部600は、ユーザ情報に含まれる項目について、共有を推奨する組み合わせを1以上設定する。推奨共有範囲設定部600が設定する組み合わせの例としては、ユーザ情報の項目「1日の歩数」、「年齢」および「レム睡眠時間」などがある。
FIG. 19 is an example flowchart showing processing according to the first modification of the embodiment. In step S400, the recommended sharing range setting unit 600 in the service provider terminal 6 sets one or more combinations of items included in the user information that are recommended for sharing. Examples of combinations set by the recommended sharing range setting unit 600 include user information items such as "number of steps per day," "age," and "REM sleep time."
次のステップS401で、推奨共有範囲設定部600は、ステップS400で設定された共有を推奨する組み合わせに対して、その組み合わせの共有を推奨する理由を、当該組み合わせに対してセットする。理由としては、例えば「研究利用のために共有を希望する」などが考えられる。
In the next step S401, the recommended sharing range setting unit 600 sets a reason for recommending the sharing of the combination set in step S400, for the combination. Possible reasons include, for example, "I wish to share the information for research use."
推奨共有範囲設定部600は、設定した各組み合わせを、情報処理装置2に送信する。情報処理装置2は、推奨共有範囲設定部600から送信された各組み合わせを、推奨共有範囲計算部203を介して推奨共有範囲通知部201に渡す。推奨共有範囲通知部201は、推奨共有範囲計算部203から渡された各組み合わせを、各ユーザ端末12に送信する。各ユーザ端末12は、推奨共有範囲通知部201から送信された各組み合わせを、例えば共有範囲提示部121により表示する。
The recommended sharing range setting unit 600 transmits each set combination to the information processing device 2. The information processing device 2 passes each combination transmitted from the recommended sharing range setting unit 600 to the recommended sharing range notification unit 201 via the recommended sharing range calculation unit 203. The recommended sharing range notification unit 201 transmits each combination passed from the recommended sharing range calculation unit 203 to each user terminal 12. Each user terminal 12 displays each combination transmitted from the recommended sharing range notification unit 201 using, for example, the sharing range presentation unit 121.
ユーザは、ユーザ端末12に表示された1以上の組み合わせから、所望の組み合わせを指定することができる。ユーザ端末12は、指定された組み合わせを例えば共有範囲設定部124から情報処理装置2に送信する。情報処理装置2は、ユーザ端末12から送信された組み合わせに基づき、例えば対SP共有範囲保持部205に記憶される情報を更新する。
The user can specify a desired combination from one or more combinations displayed on the user terminal 12. The user terminal 12 transmits the specified combination to the information processing device 2 from the sharing range setting unit 124, for example. The information processing device 2 updates the information stored in the SP sharing range storage unit 205, for example, based on the combination transmitted from the user terminal 12.
(4.実施形態の第2の変形例)
次に、実施形態の第2の変形例について説明する。実施形態の第2の変形例では、サービスプロバイダは、ユーザ情報に含まれる項目について、共有を推奨する組み合わせを複数設定する。それと共に、サービスプロバイダは、推論対象の変数(例えばPHQ-9)を1つ指定する。設定された共有を推奨する複数の組み合わせのそれぞれにより、1つの推論対象の変数を推論し、それぞれ推論精度を計算する。各組み合わせの推論精度をユーザに提示し、ユーザに対して共有範囲の変更を促す。 (4. Second modification of the embodiment)
Next, a second modification of the embodiment will be described. In a second modification of the embodiment, the service provider sets a plurality of combinations of items included in user information that are recommended for sharing. At the same time, the service provider specifies one variable (for example, PHQ-9) to be inferred. One inference target variable is inferred using each of the plurality of set combinations recommended for sharing, and inference accuracy is calculated for each. The inference accuracy of each combination is presented to the user, and the user is prompted to change the sharing range.
次に、実施形態の第2の変形例について説明する。実施形態の第2の変形例では、サービスプロバイダは、ユーザ情報に含まれる項目について、共有を推奨する組み合わせを複数設定する。それと共に、サービスプロバイダは、推論対象の変数(例えばPHQ-9)を1つ指定する。設定された共有を推奨する複数の組み合わせのそれぞれにより、1つの推論対象の変数を推論し、それぞれ推論精度を計算する。各組み合わせの推論精度をユーザに提示し、ユーザに対して共有範囲の変更を促す。 (4. Second modification of the embodiment)
Next, a second modification of the embodiment will be described. In a second modification of the embodiment, the service provider sets a plurality of combinations of items included in user information that are recommended for sharing. At the same time, the service provider specifies one variable (for example, PHQ-9) to be inferred. One inference target variable is inferred using each of the plurality of set combinations recommended for sharing, and inference accuracy is calculated for each. The inference accuracy of each combination is presented to the user, and the user is prompted to change the sharing range.
図20は、実施形態の第2の変形例に係る処理を示す一例のフローチャートである。ステップS410で、サービスプロバイダ端末6において推奨共有範囲設定部600は、ユーザ情報に含まれる項目について、共有を推奨する組み合わせを複数設定する。次のステップS411で、推奨共有範囲設定部600は、推論対象の変数を1つ指定する。
FIG. 20 is a flowchart of an example of processing according to the second modification of the embodiment. In step S410, the recommended sharing range setting unit 600 in the service provider terminal 6 sets a plurality of recommended sharing combinations for items included in the user information. In the next step S411, the recommended sharing range setting unit 600 specifies one variable to be inferred.
推奨共有範囲設定部600は、ステップS600で設定された共有を推奨する複数の組み合わせと、ステップS601で指定された推論対象の変数と、を情報処理装置2に送信する。情報処理装置2は、推奨共有範囲設定部600から送信された複数の組み合わせと、1つの推論対象の変数とを、推奨共有範囲計算部203に渡す。
The recommended sharing range setting unit 600 transmits the plurality of combinations recommended for sharing set in step S600 and the inference target variable specified in step S601 to the information processing device 2. The information processing device 2 passes the plurality of combinations and one inference target variable sent from the recommended sharing range setting unit 600 to the recommended sharing range calculation unit 203.
次のステップS412で、情報処理装置2において、推奨共有範囲計算部203は、対象のユーザがサービスプロバイダに対して項目を共有している組み合わせ、すなわち共有範囲により、推奨共有範囲設定部600で指定された推論対象の変数を推論し、推論精度を計算する。また、推奨共有範囲計算部203は、推奨共有範囲設定部600で複数設定された、共有を推奨する組み合わせのそれぞれにより、推論対象の変数を推論し、それぞれ推論精度を計算する。推奨共有範囲計算部203は、対象のユーザが項目を共有している組み合わせに基づき計算された推論精度と、共有を推奨する複数の組み合わせのそれぞれに基づき計算された各推論精度とを比較する。
In the next step S412, in the information processing device 2, the recommended sharing range calculation unit 203 specifies in the recommended sharing range setting unit 600 based on the combination in which the target user shares items with the service provider, that is, the sharing range. Infer the variables to be inferred and calculate the inference accuracy. In addition, the recommended sharing range calculation unit 203 infers variables to be inferred based on each of the combinations recommended for sharing set by the recommended sharing range setting unit 600, and calculates inference accuracy for each. The recommended sharing range calculation unit 203 compares the inference accuracy calculated based on the combinations in which the target users share items with each inference accuracy calculated based on each of the plurality of combinations for which sharing is recommended.
次のステップS413で、推奨共有範囲通知部201は、ステップS412で比較した、対象のユーザが項目を共有している組み合わせに基づき計算された推論精度と、共有を推奨する複数の組み合わせのそれぞれに基づき計算された各推論精度と、をユーザ端末12に送信し、ユーザに提示する。次のステップS414で、推奨共有範囲通知部201は、現在共有している項目の組み合わせ、すなわち共有範囲の変更を促すメッセージを、その理由と共にユーザ端末12に送信し、ユーザに通知する。
In the next step S413, the recommended sharing range notification unit 201 calculates the inference accuracy calculated based on the combinations in which the target users share items compared in step S412 and each of the multiple combinations recommended for sharing. Each inference accuracy calculated based on the information is transmitted to the user terminal 12 and presented to the user. In the next step S414, the recommended sharing range notification unit 201 sends a message urging the user to change the combination of currently shared items, that is, the sharing range, along with the reason, to the user terminal 12, and notifies the user.
実施形態の第2の変形例による処理について、より具体的な例を用いて説明する。サービスプロバイダ端末6において、推奨共有範囲設定部600は、共有を推奨する項目の組み合わせを、例えば下記に例示するAセット、BセットおよびCセットの3組、指定する(ステップS410)。
Aセット=「1日の歩数」、「睡眠時間」
Bセット=「1日の歩数」、「睡眠時間」、「レム睡眠時間」
Cセット=「年齢」、「1日の歩数」、「睡眠時間」、「レム睡眠時間」 Processing according to the second modification of the embodiment will be described using a more specific example. In the service provider terminal 6, the recommended sharingrange setting unit 600 specifies, for example, three combinations of items that are recommended for sharing: set A, set B, and set C, as illustrated below (step S410).
Set A = “Number of steps per day”, “Sleep time”
Set B = “Number of steps per day”, “Sleep time”, “REM sleep time”
C set = "Age", "Number of steps per day", "Sleep time", "REM sleep time"
Aセット=「1日の歩数」、「睡眠時間」
Bセット=「1日の歩数」、「睡眠時間」、「レム睡眠時間」
Cセット=「年齢」、「1日の歩数」、「睡眠時間」、「レム睡眠時間」 Processing according to the second modification of the embodiment will be described using a more specific example. In the service provider terminal 6, the recommended sharing
Set A = “Number of steps per day”, “Sleep time”
Set B = “Number of steps per day”, “Sleep time”, “REM sleep time”
C set = "Age", "Number of steps per day", "Sleep time", "REM sleep time"
また、推奨共有範囲設定部600は、推論対象の変数として、例えば「PHQ-9」を指定する(ステップS411)。
Further, the recommended sharing range setting unit 600 specifies, for example, "PHQ-9" as a variable to be inferred (step S411).
推奨共有範囲計算部203は、Aセット、BセットおよびCセットと、ユーザが現在共有を許可している共有範囲とについて、それぞれ推論対象の変数を推論し、それぞれ推論精度を算出する。ここで、各推論精度が下記(1)~(4)のように計算されものとする。なお、下記において、推論精度は、AUC(Area Under the Curve)の値として示されている。
The recommended sharing range calculation unit 203 infers variables to be inferred for each of the A set, B set, and C set, and the sharing range that the user currently allows sharing, and calculates the inference accuracy for each. Here, it is assumed that each inference accuracy is calculated as shown in (1) to (4) below. Note that in the following, inference accuracy is shown as a value of AUC (Area Under the Curve).
(1)ユーザが現在共有を許可している共有範囲のAUC=0.5
(2)AセットのAUC=0.6
(3)BセットのAUC=0.9
(4)CセットのAUC=0.6 (1) AUC of the sharing range that the user is currently allowed to share = 0.5
(2) AUC of set A = 0.6
(3) AUC of B set = 0.9
(4) AUC of C set = 0.6
(2)AセットのAUC=0.6
(3)BセットのAUC=0.9
(4)CセットのAUC=0.6 (1) AUC of the sharing range that the user is currently allowed to share = 0.5
(2) AUC of set A = 0.6
(3) AUC of B set = 0.9
(4) AUC of C set = 0.6
推奨共有範囲通知部201は、上述した(1)~(4)の各値をユーザ端末12に送信する。ユーザ端末12は、例えば共有範囲提示部121によりこれら(1)~(4)の各値を提示し、ユーザに対して共有範囲の変更を促すメッセージを表示する。この例では、(3)BセットのAUCが最も高い値であり、且つ、(1)ユーザが現在共有を許可している共有範囲のAUCは、A~Cセットの各AUCより低い。共有範囲提示部121は、例えば、ユーザが現在共有を許可している共有範囲を、Bセットの組み合わせに変更することを促すメッセージを、その理由と共に表示する。
The recommended sharing range notification unit 201 transmits each of the values (1) to (4) described above to the user terminal 12. For example, the user terminal 12 presents each of these values (1) to (4) using the sharing range presentation unit 121, and displays a message prompting the user to change the sharing range. In this example, (3) the AUC of set B is the highest value, and (1) the AUC of the sharing range that the user is currently permitted to share is lower than each AUC of sets A to C. For example, the sharing range presentation unit 121 displays a message prompting the user to change the sharing range that is currently permitted to be shared to a combination of set B, along with the reason.
ユーザ端末12は、上述したメッセージに応じて、変更が促されるBセットの組み合わせをそのまま共有範囲としてよい。
In response to the above-mentioned message, the user terminal 12 may directly set the combination of B sets that are prompted to be changed as the sharing range.
これに限らず、ユーザ端末12は、上述したメッセージに応じて、変更が促されるBセットの組み合わせに含まれる各項目のうち、現在の共有範囲に含まれない項目のみを、現在の共有範囲に対して追加して共有可に変更してもよい。例えば、「睡眠時間」、「1日の歩数」および「レム睡眠時間」の3つの項目を考える。ユーザは、これらのうち「睡眠時間」のみを共有可としていたとする。一方Bセットは、「1日の歩数」および「レム睡眠時間」を含むものとする。この場合、ユーザは、「睡眠時間」はすでに共有可としているので、「1日の歩数」および「レム睡眠時間」を追加して共有可とする。
The user terminal 12 is not limited to this, and in response to the above-mentioned message, among the items included in the combination of set B that is prompted to change, only the items that are not included in the current sharing range are added to the current sharing range. You may also add it to your account and change it to shareable. For example, consider three items: "sleep time", "number of steps per day", and "REM sleep time". It is assumed that the user has allowed only "sleep time" to be shared among these. On the other hand, set B includes "number of steps per day" and "REM sleep time". In this case, since the user has already allowed sharing of "sleep time," "number of steps per day" and "REM sleep time" are added and allowed to be shared.
この場合、ユーザ端末12は、A~Cセットを、セットに示される推奨共有範囲が現在の共有範囲に近い順に提示すると、ユーザによるセットの選択が容易となり、好ましい。
In this case, it is preferable for the user terminal 12 to present the sets A to C in the order in which the recommended sharing range indicated by the set is closest to the current sharing range, as this facilitates the user's selection of the set.
(5.まとめ)
上述したように、実施形態に係る情報処理システム100aは、下記の(A)~(F)の機能を含む。 (5. Summary)
As described above, theinformation processing system 100a according to the embodiment includes the following functions (A) to (F).
上述したように、実施形態に係る情報処理システム100aは、下記の(A)~(F)の機能を含む。 (5. Summary)
As described above, the
(A)実施形態に係る情報処理システム100aは、ネットワークNあるいはクラウドネットワークCL上のサーバである情報処理装置2に、ユーザの個人情報および生体情報を含むユーザ情報を保持している。
(A) The information processing system 100a according to the embodiment holds user information including the user's personal information and biometric information in the information processing device 2, which is a server on the network N or cloud network CL.
(B)実施形態に係る情報処理システム100aは、情報処理システム100aを利用するサービスプロバイダを定義し、ユーザがユーザ情報に含まれる各情報のうち、サービスプロバイダに対して共有する情報を、サービスプロバイダ単位で管理する対SP共有範囲情報を、情報処理装置2が保持している。
(B) The information processing system 100a according to the embodiment defines a service provider that uses the information processing system 100a, and the information that the user shares with the service provider out of each piece of information included in the user information is shared with the service provider. The information processing device 2 holds SP sharing range information that is managed on a per-unit basis.
(C)実施形態に係る情報処理システム100aは、ユーザ情報のうちサービスプロバイダがユーザに対して共有を推奨する情報による推奨共有範囲を、ユーザに共有を期待する期待共有範囲として通知する機能を有している。
(C) The information processing system 100a according to the embodiment has a function of notifying the user of the recommended sharing range based on information that the service provider recommends the user to share, as the expected sharing range that the user is expected to share. are doing.
(D)実施形態に係る情報処理システム100aは、ユーザ情報に基づき推奨共有範囲を計算する推奨共有範囲計算機能を有する。推奨共有範囲計算機能は、計算された推奨共有範囲の理由(ユーザが得られる便益)を提示する機能も有する。
(D) The information processing system 100a according to the embodiment has a recommended sharing range calculation function that calculates a recommended sharing range based on user information. The recommended sharing range calculation function also has a function of presenting the reason for the calculated recommended sharing range (benefits obtained by the user).
(E)実施形態に係る情報処理システム100aは、ユーザがどのサービスプロバイダに対して、ユーザ情報のうちどの情報を共有しているか、当該ユーザのユーザ端末12において可視化する機能を有している。
(E) The information processing system 100a according to the embodiment has a function of visualizing, on the user terminal 12 of the user, which information of the user information is shared with which service provider by the user.
(F)実施形態に係る情報処理システム100aは、ユーザがユーザ情報のうちサービスプロバイダと共有する情報を示す共有範囲を複数の推奨共有範囲から決定する際に、推奨共有範囲を、その理由と共に、現在の共有範囲に近い順に提示する機能を有している。
(F) The information processing system 100a according to the embodiment, when a user determines a sharing range indicating information to be shared with a service provider among user information, from a plurality of recommended sharing ranges, the information processing system 100a selects the recommended sharing range along with the reason. It has a function to present the items in order of closest to the current sharing range.
実施形態に係る情報処理システム100aは、上述の(A)および(B)、ならびに、(E)の機能により、ユーザが自身のユーザ情報のうちどの情報がどのサービスプロバイダと共有されているかを、明確に提示することができる。
The information processing system 100a according to the embodiment uses the functions (A), (B), and (E) described above to enable the user to know which information of his/her own user information is shared with which service provider. Can be presented clearly.
また、実施形態に係る情報処理システム100aは、上述の(A)~(D)の機能により、ユーザに対して、情報をサービスプロバイダと共有することにより得られる便益を提示することができる。
Further, the information processing system 100a according to the embodiment can present to the user the benefits obtained by sharing information with a service provider by using the functions (A) to (D) described above.
さらに、実施形態に係る情報処理システム100aは、上述の(A)~(D)および(F)の機能により、ユーザに対して共有を推奨する推奨共有範囲と、その理由を提示する。そのため、情報処理システム100aは、ユーザに対してユーザ情報に含まれる情報の、サービスプロバイダとの共有を促して、ユーザに対するより良いサービスの提供を実現することが可能である。また、サービスプロバイダにおいても、ユーザに情報を共有してもらえることで、より高精度に解析などを実施できる。
Further, the information processing system 100a according to the embodiment presents the recommended sharing range and the reason for sharing to the user using the functions (A) to (D) and (F) described above. Therefore, the information processing system 100a can encourage the user to share information included in the user information with the service provider, thereby providing better services to the user. In addition, service providers can conduct more accurate analysis by having users share information.
さらにまた、以上により、実施形態に係る情報処理システム100aによれば、生体情報を含むユーザ情報の共有範囲を、容易に設定することが可能となる。
Furthermore, as described above, according to the information processing system 100a according to the embodiment, it is possible to easily set the sharing range of user information including biometric information.
なお、本明細書に記載された効果はあくまで例示であって限定されるものでは無く、また他の効果があってもよい。
Note that the effects described in this specification are merely examples and are not limiting, and other effects may also exist.
なお、本技術は以下のような構成も取ることができる。
(1)
ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える情報処理装置と、
前記推奨共有範囲を表示部に表示する表示制御部、
を備える前記ユーザ端末と、
を含む、情報処理システム。
(2)
前記情報処理装置は、
前記ユーザ情報を記憶するユーザ情報記憶部、
をさらに備え、
前記処理部は、
前記事業者からの要求に応じて、前記ユーザ情報に対応するユーザにより前記ユーザ情報のうち共有を許可する情報が指定されたユーザ情報共有範囲に基づき前記ユーザ情報記憶部から前記ユーザ情報を取得し、取得した前記ユーザ情報を前記事業者が用いる事業者端末に送信する、
前記(1)に記載の情報処理システム。
(3)
前記情報処理装置は、
前記ユーザにより前記事業者ごとに設定された前記ユーザ情報共有範囲を、前記事業者に関連付けて記憶する共有範囲記憶部、
をさらに備える、
前記(2)に記載の情報処理システム。
(4)
前記処理部は、
前記ユーザ情報共有範囲に前記条件が付加されている場合、前記ユーザ情報共有範囲に基づき取得した前記ユーザ情報を加工して前記事業者端末に送信する、
前記(2)または(3)に記載の情報処理システム。
(5)
前記条件は、前記ユーザ情報の抽象化を含む、
前記(4)に記載の情報処理システム。
(6)
前記処理部は、
前記事業者端末から取得した推論対象の変数と、前記ユーザ情報共有範囲に対応する前記ユーザ情報と、に基づき前記推論対象の変数を推論した場合の推論精度を計算する、
前記(2)乃至(5)の何れかに記載の情報処理システム。
(7)
前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲ごとに、前記推論精度を計算する、
前記(6)に記載の情報処理システム。
(8)
前記処理部は、
前記推論精度が所定値以下の場合に、前記ユーザ情報共有範囲の変更を促す通知を前記ユーザ端末に対して送信する、
前記(6)または(7)に記載の情報処理システム。
(9)
前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲を、任意の前記ユーザ端末に対して送信する、
前記(2)乃至(5)の何れかに記載の情報処理システム。
(10)
前記表示制御部は、
前記ユーザ端末に対するユーザ操作に応じて、前記ユーザ情報に対して共有を許可する情報を、前記ユーザ情報共有範囲に対して設定する、
前記(2)乃至(9)の何れかに記載の情報処理システム。
(11)
前記表示制御部は、
前記ユーザ操作に応じて設定された前記ユーザ情報共有範囲を表示する、
前記(10)に記載の情報処理システム。
(12)
前記表示制御部は、
前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可しているかを、前記事業者ごとに表示する、
前記(2)乃至(11)の何れかに記載の情報処理システム。
(13)
前記表示制御部は、
ユーザ操作に応じて、前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可するかを、前記事業者ごとに設定する、
前記(2)乃至(12)の何れかに記載の情報処理システム。
(14)
前記表示制御部は、
ユーザ操作に応じて、前記情報の共有の前記許可に対して条件を付加する、
前記(10)乃至(13)の何れかに記載の情報処理システム。
(15)
前記表示制御部は、
前記推奨共有範囲に基づき前記ユーザ情報共有範囲を更新する、
前記(2)乃至(14)の何れかに記載の情報処理システム。
(16)
前記表示制御部は、
前記情報処理装置から送信された、1の前記事業者による複数の前記推奨共有範囲のうち、1の前記推奨共有範囲をユーザ操作に応じて選択する、
前記(1)乃至(15)の何れかに記載の情報処理システム。
(17)
前記ユーザ情報は、
前記ユーザ情報に対応するユーザを識別する識別情報と、前記ユーザの生体情報および属性情報と、を含む、
前記(1)乃至(16)の何れかに記載の情報処理システム。
(18)
前記ユーザ端末は、
前記生体情報を、前記ユーザ端末と通信可能なウェアラブル端末と、前記ユーザ端末と、のうち少なくとも一方から取得する、
前記(17)に記載の情報処理システム。
(19)
情報処理装置が、ユーザ情報に対して事業者が共有を期待する期待共有範囲を、前記事業者に対応する事業者端末から取得する共有範囲取得ステップと、
前記情報処理装置が、前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理ステップと、
前記ユーザ端末が、推奨共有範囲を表示部に表示する表示制御ステップと、
を有する、
情報処理方法。
(20)
ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える、情報処理装置。
(21)
表示部に対する表示を行う表示制御部、
を備え、
前記表示制御部は、
事業者に対応する事業者端末から情報処理装置により取得された、ユーザ情報に対して事業者が共有を期待する期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を、前記表示部に表示する、
ユーザ端末。 Note that the present technology can also have the following configuration.
(1)
a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
an information processing device comprising;
a display control unit that displays the recommended sharing range on a display unit;
The user terminal comprising:
information processing systems, including
(2)
The information processing device includes:
a user information storage unit that stores the user information;
Furthermore,
The processing unit includes:
In response to a request from the vendor, the user information is acquired from the user information storage unit based on a user information sharing range in which information that is permitted to be shared among the user information is specified by the user corresponding to the user information. , transmitting the acquired user information to a business terminal used by the business operator;
The information processing system according to (1) above.
(3)
The information processing device includes:
a sharing range storage unit that stores the user information sharing range set by the user for each of the above mentioned traders in association with the above mentioned traders;
further comprising,
The information processing system according to (2) above.
(4)
The processing unit includes:
If the condition is added to the user information sharing range, processing the user information acquired based on the user information sharing range and transmitting it to the vendor terminal;
The information processing system according to (2) or (3) above.
(5)
The conditions include abstraction of the user information;
The information processing system according to (4) above.
(6)
The processing unit includes:
Calculating the inference accuracy when inferring the inference target variable based on the inference target variable obtained from the vendor terminal and the user information corresponding to the user information sharing range;
The information processing system according to any one of (2) to (5) above.
(7)
The processing unit includes:
calculating the inference accuracy for each of the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal;
The information processing system according to (6) above.
(8)
The processing unit includes:
If the inference accuracy is less than or equal to a predetermined value, transmitting a notification to the user terminal to prompt a change in the user information sharing range;
The information processing system according to (6) or (7) above.
(9)
The processing unit includes:
transmitting the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal to any of the user terminals;
The information processing system according to any one of (2) to (5) above.
(10)
The display control section includes:
setting information that allows sharing of the user information in the user information sharing range according to a user operation on the user terminal;
The information processing system according to any one of (2) to (9) above.
(11)
The display control section includes:
displaying the user information sharing range set according to the user operation;
The information processing system according to (10) above.
(12)
The display control section includes:
displaying, for each of the above-mentioned vendors, which information is permitted to be shared among the various pieces of information included in the user information;
The information processing system according to any one of (2) to (11) above.
(13)
The display control section includes:
Setting which information included in the user information is permitted to be shared for each of the above-mentioned businesses according to a user operation;
The information processing system according to any one of (2) to (12) above.
(14)
The display control section includes:
adding conditions to the permission to share the information in response to a user operation;
The information processing system according to any one of (10) to (13) above.
(15)
The display control section includes:
updating the user information sharing range based on the recommended sharing range;
The information processing system according to any one of (2) to (14) above.
(16)
The display control section includes:
selecting one recommended sharing range from among the plurality of recommended sharing ranges by the one vendor transmitted from the information processing device according to a user operation;
The information processing system according to any one of (1) to (15) above.
(17)
The user information is
including identification information for identifying the user corresponding to the user information, and biometric information and attribute information of the user;
The information processing system according to any one of (1) to (16) above.
(18)
The user terminal is
acquiring the biometric information from at least one of a wearable terminal that can communicate with the user terminal and the user terminal;
The information processing system according to (17) above.
(19)
a sharing range acquisition step in which the information processing device acquires an expected sharing range in which the business operator expects the user information to be shared from a business terminal corresponding to the business operator;
a processing step in which the information processing device transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
a display control step in which the user terminal displays a recommended sharing range on a display unit;
has,
Information processing method.
(20)
a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
An information processing device comprising:
(21)
a display control unit that performs display on the display unit;
Equipped with
The display control section includes:
Displaying the recommended sharing range in which sharing is calculated based on the expected sharing range in which the operator expects the user information to be shared, which is acquired by the information processing device from the operator terminal corresponding to the operator. to be displayed in the
User terminal.
(1)
ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える情報処理装置と、
前記推奨共有範囲を表示部に表示する表示制御部、
を備える前記ユーザ端末と、
を含む、情報処理システム。
(2)
前記情報処理装置は、
前記ユーザ情報を記憶するユーザ情報記憶部、
をさらに備え、
前記処理部は、
前記事業者からの要求に応じて、前記ユーザ情報に対応するユーザにより前記ユーザ情報のうち共有を許可する情報が指定されたユーザ情報共有範囲に基づき前記ユーザ情報記憶部から前記ユーザ情報を取得し、取得した前記ユーザ情報を前記事業者が用いる事業者端末に送信する、
前記(1)に記載の情報処理システム。
(3)
前記情報処理装置は、
前記ユーザにより前記事業者ごとに設定された前記ユーザ情報共有範囲を、前記事業者に関連付けて記憶する共有範囲記憶部、
をさらに備える、
前記(2)に記載の情報処理システム。
(4)
前記処理部は、
前記ユーザ情報共有範囲に前記条件が付加されている場合、前記ユーザ情報共有範囲に基づき取得した前記ユーザ情報を加工して前記事業者端末に送信する、
前記(2)または(3)に記載の情報処理システム。
(5)
前記条件は、前記ユーザ情報の抽象化を含む、
前記(4)に記載の情報処理システム。
(6)
前記処理部は、
前記事業者端末から取得した推論対象の変数と、前記ユーザ情報共有範囲に対応する前記ユーザ情報と、に基づき前記推論対象の変数を推論した場合の推論精度を計算する、
前記(2)乃至(5)の何れかに記載の情報処理システム。
(7)
前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲ごとに、前記推論精度を計算する、
前記(6)に記載の情報処理システム。
(8)
前記処理部は、
前記推論精度が所定値以下の場合に、前記ユーザ情報共有範囲の変更を促す通知を前記ユーザ端末に対して送信する、
前記(6)または(7)に記載の情報処理システム。
(9)
前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲を、任意の前記ユーザ端末に対して送信する、
前記(2)乃至(5)の何れかに記載の情報処理システム。
(10)
前記表示制御部は、
前記ユーザ端末に対するユーザ操作に応じて、前記ユーザ情報に対して共有を許可する情報を、前記ユーザ情報共有範囲に対して設定する、
前記(2)乃至(9)の何れかに記載の情報処理システム。
(11)
前記表示制御部は、
前記ユーザ操作に応じて設定された前記ユーザ情報共有範囲を表示する、
前記(10)に記載の情報処理システム。
(12)
前記表示制御部は、
前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可しているかを、前記事業者ごとに表示する、
前記(2)乃至(11)の何れかに記載の情報処理システム。
(13)
前記表示制御部は、
ユーザ操作に応じて、前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可するかを、前記事業者ごとに設定する、
前記(2)乃至(12)の何れかに記載の情報処理システム。
(14)
前記表示制御部は、
ユーザ操作に応じて、前記情報の共有の前記許可に対して条件を付加する、
前記(10)乃至(13)の何れかに記載の情報処理システム。
(15)
前記表示制御部は、
前記推奨共有範囲に基づき前記ユーザ情報共有範囲を更新する、
前記(2)乃至(14)の何れかに記載の情報処理システム。
(16)
前記表示制御部は、
前記情報処理装置から送信された、1の前記事業者による複数の前記推奨共有範囲のうち、1の前記推奨共有範囲をユーザ操作に応じて選択する、
前記(1)乃至(15)の何れかに記載の情報処理システム。
(17)
前記ユーザ情報は、
前記ユーザ情報に対応するユーザを識別する識別情報と、前記ユーザの生体情報および属性情報と、を含む、
前記(1)乃至(16)の何れかに記載の情報処理システム。
(18)
前記ユーザ端末は、
前記生体情報を、前記ユーザ端末と通信可能なウェアラブル端末と、前記ユーザ端末と、のうち少なくとも一方から取得する、
前記(17)に記載の情報処理システム。
(19)
情報処理装置が、ユーザ情報に対して事業者が共有を期待する期待共有範囲を、前記事業者に対応する事業者端末から取得する共有範囲取得ステップと、
前記情報処理装置が、前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理ステップと、
前記ユーザ端末が、推奨共有範囲を表示部に表示する表示制御ステップと、
を有する、
情報処理方法。
(20)
ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える、情報処理装置。
(21)
表示部に対する表示を行う表示制御部、
を備え、
前記表示制御部は、
事業者に対応する事業者端末から情報処理装置により取得された、ユーザ情報に対して事業者が共有を期待する期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を、前記表示部に表示する、
ユーザ端末。 Note that the present technology can also have the following configuration.
(1)
a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
an information processing device comprising;
a display control unit that displays the recommended sharing range on a display unit;
The user terminal comprising:
information processing systems, including
(2)
The information processing device includes:
a user information storage unit that stores the user information;
Furthermore,
The processing unit includes:
In response to a request from the vendor, the user information is acquired from the user information storage unit based on a user information sharing range in which information that is permitted to be shared among the user information is specified by the user corresponding to the user information. , transmitting the acquired user information to a business terminal used by the business operator;
The information processing system according to (1) above.
(3)
The information processing device includes:
a sharing range storage unit that stores the user information sharing range set by the user for each of the above mentioned traders in association with the above mentioned traders;
further comprising,
The information processing system according to (2) above.
(4)
The processing unit includes:
If the condition is added to the user information sharing range, processing the user information acquired based on the user information sharing range and transmitting it to the vendor terminal;
The information processing system according to (2) or (3) above.
(5)
The conditions include abstraction of the user information;
The information processing system according to (4) above.
(6)
The processing unit includes:
Calculating the inference accuracy when inferring the inference target variable based on the inference target variable obtained from the vendor terminal and the user information corresponding to the user information sharing range;
The information processing system according to any one of (2) to (5) above.
(7)
The processing unit includes:
calculating the inference accuracy for each of the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal;
The information processing system according to (6) above.
(8)
The processing unit includes:
If the inference accuracy is less than or equal to a predetermined value, transmitting a notification to the user terminal to prompt a change in the user information sharing range;
The information processing system according to (6) or (7) above.
(9)
The processing unit includes:
transmitting the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal to any of the user terminals;
The information processing system according to any one of (2) to (5) above.
(10)
The display control section includes:
setting information that allows sharing of the user information in the user information sharing range according to a user operation on the user terminal;
The information processing system according to any one of (2) to (9) above.
(11)
The display control section includes:
displaying the user information sharing range set according to the user operation;
The information processing system according to (10) above.
(12)
The display control section includes:
displaying, for each of the above-mentioned vendors, which information is permitted to be shared among the various pieces of information included in the user information;
The information processing system according to any one of (2) to (11) above.
(13)
The display control section includes:
Setting which information included in the user information is permitted to be shared for each of the above-mentioned businesses according to a user operation;
The information processing system according to any one of (2) to (12) above.
(14)
The display control section includes:
adding conditions to the permission to share the information in response to a user operation;
The information processing system according to any one of (10) to (13) above.
(15)
The display control section includes:
updating the user information sharing range based on the recommended sharing range;
The information processing system according to any one of (2) to (14) above.
(16)
The display control section includes:
selecting one recommended sharing range from among the plurality of recommended sharing ranges by the one vendor transmitted from the information processing device according to a user operation;
The information processing system according to any one of (1) to (15) above.
(17)
The user information is
including identification information for identifying the user corresponding to the user information, and biometric information and attribute information of the user;
The information processing system according to any one of (1) to (16) above.
(18)
The user terminal is
acquiring the biometric information from at least one of a wearable terminal that can communicate with the user terminal and the user terminal;
The information processing system according to (17) above.
(19)
a sharing range acquisition step in which the information processing device acquires an expected sharing range in which the business operator expects the user information to be shared from a business terminal corresponding to the business operator;
a processing step in which the information processing device transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
a display control step in which the user terminal displays a recommended sharing range on a display unit;
has,
Information processing method.
(20)
a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
An information processing device comprising:
(21)
a display control unit that performs display on the display unit;
Equipped with
The display control section includes:
Displaying the recommended sharing range in which sharing is calculated based on the expected sharing range in which the operator expects the user information to be shared, which is acquired by the information processing device from the operator terminal corresponding to the operator. to be displayed in the
User terminal.
2 情報処理装置
6 サービスプロバイダ端末
12 ユーザ端末
80 初期画面
82 共有範囲設定画面
100,100a 情報処理システム
120 介入提示部
121 共有範囲提示部
122 生体情報取得部
123 個人情報取得部
124 共有範囲設定部
200 介入通知部
201 推奨共有範囲通知部
202 情報保持部
203 推奨共有範囲計算部
204 アクセス制御部
205 対サービスプロバイダ共有範囲保持部
206 推論対象値保持部
600 推奨共有範囲設定部
601 介入モジュール
602 情報記憶部
800 設定ボタン
801 介入メッセージ表示領域
802 バイオマーカ値表示領域
820a、820b、820c,820d フラグ設定部
821,832 スイッチ部
822,833 ノブ
834 チェックボックス 2 Information processing device 6Service provider terminal 12 User terminal 80 Initial screen 82 Sharing range setting screen 100, 100a Information processing system 120 Intervention presentation unit 121 Sharing range presentation unit 122 Biological information acquisition unit 123 Personal information acquisition unit 124 Sharing range setting unit 200 Intervention notification unit 201 Recommended sharing range notification unit 202 Information holding unit 203 Recommended sharing range calculation unit 204 Access control unit 205 Service provider sharing range holding unit 206 Inference target value holding unit 600 Recommended sharing range setting unit 601 Intervention module 602 Information storage unit 800 Setting button 801 Intervention message display area 802 Biomarker value display area 820a, 820b, 820c, 820d Flag setting section 821, 832 Switch section 822, 833 Knob 834 Check box
6 サービスプロバイダ端末
12 ユーザ端末
80 初期画面
82 共有範囲設定画面
100,100a 情報処理システム
120 介入提示部
121 共有範囲提示部
122 生体情報取得部
123 個人情報取得部
124 共有範囲設定部
200 介入通知部
201 推奨共有範囲通知部
202 情報保持部
203 推奨共有範囲計算部
204 アクセス制御部
205 対サービスプロバイダ共有範囲保持部
206 推論対象値保持部
600 推奨共有範囲設定部
601 介入モジュール
602 情報記憶部
800 設定ボタン
801 介入メッセージ表示領域
802 バイオマーカ値表示領域
820a、820b、820c,820d フラグ設定部
821,832 スイッチ部
822,833 ノブ
834 チェックボックス 2 Information processing device 6
Claims (20)
- ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える情報処理装置と、
前記推奨共有範囲を表示部に表示する表示制御部、
を備える前記ユーザ端末と、
を含む、情報処理システム。 a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
an information processing device comprising;
a display control unit that displays the recommended sharing range on a display unit;
The user terminal comprising:
information processing systems, including - 前記情報処理装置は、
前記ユーザ情報を記憶するユーザ情報記憶部、
をさらに備え、
前記処理部は、
前記事業者からの要求に応じて、前記ユーザ情報に対応するユーザにより前記ユーザ情報のうち共有を許可する情報が指定されたユーザ情報共有範囲に基づき前記ユーザ情報記憶部から前記ユーザ情報を取得し、取得した前記ユーザ情報を前記事業者が用いる事業者端末に送信する、
請求項1に記載の情報処理システム。 The information processing device includes:
a user information storage unit that stores the user information;
Furthermore,
The processing unit includes:
In response to a request from the vendor, the user information is acquired from the user information storage unit based on a user information sharing range in which information that is permitted to be shared among the user information is specified by the user corresponding to the user information. , transmitting the acquired user information to a business terminal used by the business operator;
The information processing system according to claim 1. - 前記情報処理装置は、
前記ユーザにより前記事業者ごとに設定された前記ユーザ情報共有範囲を、前記事業者に関連付けて記憶する共有範囲記憶部、
をさらに備える、
請求項2に記載の情報処理システム。 The information processing device includes:
a sharing range storage unit that stores the user information sharing range set by the user for each of the above mentioned traders in association with the above mentioned traders;
further comprising,
The information processing system according to claim 2. - 前記処理部は、
前記ユーザ情報共有範囲に条件が付加されている場合、前記ユーザ情報共有範囲に基づき取得した前記ユーザ情報を加工して前記事業者端末に送信する、
請求項2に記載の情報処理システム。 The processing unit includes:
If a condition is added to the user information sharing range, processing the user information acquired based on the user information sharing range and transmitting it to the vendor terminal;
The information processing system according to claim 2. - 前記条件は、前記ユーザ情報の抽象化を含む、
請求項4に記載の情報処理システム。 The conditions include abstraction of the user information;
The information processing system according to claim 4. - 前記処理部は、
前記事業者端末から取得した推論対象の変数と、前記ユーザ情報共有範囲に対応する前記ユーザ情報と、に基づき前記推論対象の変数を推論した場合の推論精度を計算する、
請求項2に記載の情報処理システム。 The processing unit includes:
Calculating the inference accuracy when inferring the inference target variable based on the inference target variable obtained from the vendor terminal and the user information corresponding to the user information sharing range;
The information processing system according to claim 2. - 前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲ごとに、前記推論精度を計算する、
請求項6に記載の情報処理システム。 The processing unit includes:
calculating the inference accuracy for each of the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal;
The information processing system according to claim 6. - 前記処理部は、
前記推論精度が所定値以下の場合に、前記ユーザ情報共有範囲の変更を促す通知を前記ユーザ端末に対して送信する、
請求項6に記載の情報処理システム。 The processing unit includes:
If the inference accuracy is less than or equal to a predetermined value, transmitting a notification to the user terminal to prompt a change in the user information sharing range;
The information processing system according to claim 6. - 前記処理部は、
前記事業者端末から取得した異なる変数の組み合わせによる複数の前記期待共有範囲を、任意の前記ユーザ端末に対して送信する、
請求項2に記載の情報処理システム。 The processing unit includes:
transmitting the plurality of expected sharing ranges based on combinations of different variables obtained from the vendor terminal to any of the user terminals;
The information processing system according to claim 2. - 前記表示制御部は、
前記ユーザ端末に対するユーザ操作に応じて、前記ユーザ情報に対して共有を許可する情報を、前記ユーザ情報共有範囲に対して設定する、
請求項2に記載の情報処理システム。 The display control section includes:
setting information that allows sharing of the user information in the user information sharing range according to a user operation on the user terminal;
The information processing system according to claim 2. - 前記表示制御部は、
前記ユーザ操作に応じて設定された前記ユーザ情報共有範囲を表示する、
請求項10に記載の情報処理システム。 The display control section includes:
displaying the user information sharing range set according to the user operation;
The information processing system according to claim 10. - 前記表示制御部は、
前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可しているかを、前記事業者ごとに表示する、
請求項2に記載の情報処理システム。 The display control section includes:
displaying, for each of the above-mentioned vendors, which information is permitted to be shared among the various pieces of information included in the user information;
The information processing system according to claim 2. - 前記表示制御部は、
ユーザ操作に応じて、前記ユーザ情報に含まれる各情報のうち何れの情報の共有を許可するかを、前記事業者ごとに設定する、
請求項2に記載の情報処理システム。 The display control section includes:
Setting which information included in the user information is permitted to be shared for each of the above-mentioned businesses according to a user operation;
The information processing system according to claim 2. - 前記表示制御部は、
ユーザ操作に応じて、前記情報の共有の前記許可に対して条件を付加する、
請求項10に記載の情報処理システム。 The display control section includes:
adding conditions to the permission to share the information in response to a user operation;
The information processing system according to claim 10. - 前記表示制御部は、
前記推奨共有範囲に基づき前記ユーザ情報共有範囲を更新する、
請求項2に記載の情報処理システム。 The display control section includes:
updating the user information sharing range based on the recommended sharing range;
The information processing system according to claim 2. - 前記ユーザ情報は、
前記ユーザ情報に対応するユーザを識別する識別情報と、前記ユーザの生体情報および属性情報と、を含む、
請求項1に記載の情報処理システム。 The user information is
including identification information for identifying the user corresponding to the user information, and biometric information and attribute information of the user;
The information processing system according to claim 1. - 前記ユーザ端末は、
前記生体情報を、前記ユーザ端末と通信可能なウェアラブル端末と、前記ユーザ端末と、のうち少なくとも一方から取得する、
請求項16に記載の情報処理システム。 The user terminal is
acquiring the biometric information from at least one of a wearable terminal that can communicate with the user terminal and the user terminal;
The information processing system according to claim 16. - 情報処理装置が、ユーザ情報に対して事業者が共有を期待する期待共有範囲を、前記事業者に対応する事業者端末から取得する共有範囲取得ステップと、
前記情報処理装置が、前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理ステップと、
前記ユーザ端末が、推奨共有範囲を表示部に表示する表示制御ステップと、
を有する、
情報処理方法。 a sharing range acquisition step in which the information processing device acquires an expected sharing range in which the business operator expects the user information to be shared from a business terminal corresponding to the business operator;
a processing step in which the information processing device transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
a display control step in which the user terminal displays a recommended sharing range on a display unit;
has,
Information processing method. - ユーザ情報に対して事業者が共有を期待する期待共有範囲を取得する共有範囲取得部と、
前記期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を前記ユーザ情報に対応するユーザ端末に送信する処理部と、
を備える、情報処理装置。 a sharing range acquisition unit that obtains an expected sharing range that a business operator expects to share with respect to user information;
a processing unit that transmits a recommended sharing range in which sharing is recommended, calculated based on the expected sharing range, to a user terminal corresponding to the user information;
An information processing device comprising: - 表示部に対する表示を行う表示制御部、
を備え、
前記表示制御部は、
事業者に対応する事業者端末から情報処理装置により取得された、ユーザ情報に対して事業者が共有を期待する期待共有範囲に基づき算出された、共有が推奨される推奨共有範囲を、前記表示部に表示する、
ユーザ端末。 a display control unit that performs display on the display unit;
Equipped with
The display control section includes:
Displaying the recommended sharing range in which sharing is calculated based on the expected sharing range in which the operator expects the user information to be shared, which is acquired by the information processing device from the operator terminal corresponding to the operator. to be displayed in the
User terminal.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2022-085741 | 2022-05-26 | ||
JP2022085741 | 2022-05-26 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023228789A1 true WO2023228789A1 (en) | 2023-11-30 |
Family
ID=88919221
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2023/018045 WO2023228789A1 (en) | 2022-05-26 | 2023-05-15 | Information processing system, information processing method, information processing device, and user terminal |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2023228789A1 (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005284598A (en) * | 2004-03-29 | 2005-10-13 | Sanyo Electric Co Ltd | Personal information provision system, recording apparatus and computer program |
WO2012046670A1 (en) * | 2010-10-05 | 2012-04-12 | 日本電気株式会社 | Personal-information transmission/reception system, personal-information transmission/reception method, personal-information provision device, preference management device, and computer program |
JP2019159773A (en) * | 2018-03-13 | 2019-09-19 | 本田技研工業株式会社 | Data distribution control device, information processing device, and data distribution control method |
JP2020046953A (en) * | 2018-09-19 | 2020-03-26 | Kddi株式会社 | Privacy setting information generation device, privacy setting information generation method, and computer program |
-
2023
- 2023-05-15 WO PCT/JP2023/018045 patent/WO2023228789A1/en unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005284598A (en) * | 2004-03-29 | 2005-10-13 | Sanyo Electric Co Ltd | Personal information provision system, recording apparatus and computer program |
WO2012046670A1 (en) * | 2010-10-05 | 2012-04-12 | 日本電気株式会社 | Personal-information transmission/reception system, personal-information transmission/reception method, personal-information provision device, preference management device, and computer program |
JP2019159773A (en) * | 2018-03-13 | 2019-09-19 | 本田技研工業株式会社 | Data distribution control device, information processing device, and data distribution control method |
JP2020046953A (en) * | 2018-09-19 | 2020-03-26 | Kddi株式会社 | Privacy setting information generation device, privacy setting information generation method, and computer program |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR102116664B1 (en) | Online based health care method and apparatus | |
Bergmann et al. | Body-worn sensor design: what do patients and clinicians want? | |
US20190239791A1 (en) | System and method to evaluate and predict mental condition | |
Ugajin et al. | White-coat hypertension as a risk factor for the development of home hypertension: the Ohasama study | |
US20030050538A1 (en) | System and method for medical observation system located away from a hospital | |
Goyal et al. | Automation of stress recognition using subjective or objective measures | |
WO2020059794A1 (en) | Information processing method, information processing device, and program | |
US20210407633A1 (en) | System and method for tracking informal observations about a care recipient by caregivers | |
US20220192556A1 (en) | Predictive, diagnostic and therapeutic applications of wearables for mental health | |
Ghahari et al. | Using cardiac implantable electronic device data to facilitate health decision making: a design study | |
KR101890513B1 (en) | Apparatus and method for diagnosis of hand-tremor | |
Sakamaki et al. | Remote patient monitoring for neuropsychiatric disorders: a Scoping review of current trends and future perspectives from recent publications and upcoming clinical trials | |
KR102144938B1 (en) | A effect measuring method for family history using personal health records | |
JP7382741B2 (en) | Medical institution selection support device | |
WO2023228789A1 (en) | Information processing system, information processing method, information processing device, and user terminal | |
Pregnolato et al. | Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study | |
Elkefi | Supporting patients’ workload through wearable devices and mobile health applications, a systematic literature review | |
Moreira et al. | Design of a biomedical kit for bedridden patients: a conceptual approach | |
Daramola et al. | Semantic integration of multiple health data for treatment decision-making in low-resource settings | |
WO2023007593A1 (en) | Information collection method, information collection device, and information sharing method for mobile terminal | |
Dhamanti et al. | Smart home healthcare for chronic disease management: A scoping review | |
JP7393518B2 (en) | Teacher data collection device, teacher data collection method and recording medium | |
JP7383245B1 (en) | Depression risk determination system using fundus images, machine learning model generation device, depression risk determination device, and depression risk determination method | |
WO2024024317A1 (en) | Computer program, information processing device, information processing method, and learning model generation method | |
WO2023149519A1 (en) | System |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 23811663 Country of ref document: EP Kind code of ref document: A1 |