JP2020166704A - Action support apparatus - Google Patents

Abstract

To provide an action support apparatus which can calculate degree of a user's understanding of a risk.SOLUTION: An action support apparatus 100 according to the present invention has a risk estimating unit 101 for estimating risk of a user, a risk presenting unit 102 for presenting the risk of the user to the user, and a risk comprehension degree calculating unit 103 for calculating a risk comprehension degree of the user based on a presentation time by the risk presenting unit 102 or a confirmation time (time information based on the presentation) and risk change of the user. This arrangement enables calculation of the risk comprehension degree of the user. Accordingly, processing or control according to the risk comprehension degree is made possible.SELECTED DRAWING: Figure 1

Description

The present invention relates to a behavior support device that supports user behavior.

Conventionally, there has been known a technique of presenting information for risk reduction based on user information and estimating the degree of efforts for risk reduction of the user. For example, Patent Document 1 describes that the insurance content determined based on the state data obtained from the insured state is adjusted by using the degree of efforts of the policyholder to reacquire the state data. There is.

In other words, grasp the user's risk from the user's attribute information, present advice to reduce the current risk, and quantify the degree of efforts for user's risk reduction from the advice content and reaction status to the advice and approval information. This helps determine insurance premiums.

JP-A-2002-73990

However, in the technique described in Patent Document 1, since the result of how much the risk is actually reduced is not evaluated, how much the user understood his / her own risk for risk reduction (risk understanding). Degree) has not been evaluated. Therefore, it is difficult to perform processing based on the user's understanding of risk.

Therefore, in order to solve the above-mentioned problems, it is an object of the present invention to provide an action support device capable of calculating a user's understanding of risk.

The behavior support device of the present invention has a risk estimation unit that estimates a user's risk, a presentation unit that presents the user's risk to the user, a reference time based on the presentation by the presentation unit, and a user's risk. It is provided with a risk comprehension calculation unit that calculates the risk comprehension of the user based on the change.

According to the present invention, the degree of risk understanding of the user can be calculated.

According to the present invention, the degree of risk understanding of the user can be calculated.

It is a block diagram which shows the functional structure of the action support device 100 of this embodiment. It is a figure which shows the specific example of risk information. It is a figure which shows the specific example of the user information. It is a schematic diagram which shows the learning process of a risk estimation model 106c. It is a schematic diagram which shows the learning process of the presentation method estimation model 106e. It is a schematic diagram which shows the specific example of the risk comprehension degree DB 106f and the generation process thereof. It is a figure which shows the specific example of the risk presentation information DB 106g. It is a flowchart which shows the risk estimation process of the action support device 100. It is a schematic diagram which shows the estimation process of the estimation risk from the user information. It is a flowchart which shows the construction process of the risk estimation model 106c in the action support apparatus 100. It is a flowchart of the risk presentation process of the action support device 100. It is a flowchart which shows the process of calculating the degree of understanding of the risk of the user of the action support device 100. It is a flowchart which shows the construction process of the presentation method estimation model 106e of the action support device 100. It is a figure which shows an example of the hardware composition of the action support apparatus 100 which concerns on one Embodiment of this disclosure.

An embodiment of the present invention will be described with reference to the accompanying drawings. When possible, the same parts are designated by the same reference numerals and duplicate description is omitted.

FIG. 1 is a block diagram showing a functional configuration of the action support device 100 of the present embodiment. As shown in FIG. 1, the behavior support device 100 includes a risk estimation unit 101, a risk presentation unit 102, a risk comprehension calculation unit 103, a risk estimation model construction unit 104, and a presentation method estimation model construction unit 105 (presentation method learning unit). , And a storage unit 106. The storage unit 106 stores the risk information DB 106a, the user information DB 106b, the risk estimation model 106c, the estimated risk DB 106d, the presentation method estimation model 106e, the risk understanding level DB 106f, and the risk presentation information DB 106g.

The risk estimation unit 101 is a portion that estimates the user's risk based on the user information DB 106b and the risk estimation model 106c stored in the storage unit 106. The risk estimation unit 101 may estimate the risk information only from the user information based on a predetermined rule without referring to the risk estimation model 106c.

The risk presentation unit 102 is a part that presents the risk estimated by the risk estimation unit 101 to the user according to the presentation method determined based on the presentation method estimation model 106e. The risk presentation unit 102 stores the presented presentation method and information on the presentation in the risk presentation information DB 106g.

The risk estimation model construction unit 104 is a part that constructs the risk estimation model 106c based on the risk information DB 106a and the user information DB 106b. The risk estimation model construction unit 104 can construct the risk estimation model 106c by performing learning processing using the user information as an explanatory variable and the risk information as an objective variable. The risk estimation model construction unit 104 stores the constructed risk estimation model 106c in the storage unit 106.

The risk comprehension calculation unit 103 calculates the user's risk comprehension based on the estimated risk DB 106d and the risk presentation information DB 106g. The risk comprehension calculation unit 103 determines the estimated risk before and after the confirmation date and time for the risk presentation based on the date and time (confirmation date and time) when the user confirmed the presented risk and the estimated risk described in the estimated risk DB 106d. The change is calculated, and the user's risk understanding is calculated based on the change. The risk comprehension calculation unit 103 stores the user's risk comprehension in the risk comprehension DB 106f. Instead of the confirmation date and time, the user's risk understanding may be obtained based on the change in the estimated risk before and after the presentation date and time based on the presentation date and time when the risk was presented to the user.

The presentation method estimation model building unit 105 is a part that builds a presentation method estimation model based on the user information DB 106b and the risk comprehension degree DB 106f. The presentation method estimation model construction unit 105 acquires risk comprehension level information having a risk comprehension level equal to or higher than a predetermined value and user information corresponding thereto. This user information is user information related to the person identifier and the date and time of the risk understanding level information. The presentation method estimation model construction unit 105 performs learning processing using the acquired user information as an explanatory variable and the presentation method of risk comprehension information as an objective variable, and constructs a presentation method estimation model.

The risk information DB 106a is a database (DB) for describing the risk information. The risk information includes a person identifier, a date and time, and the risk information thereof. The risk information assumes, for example, the presence or absence of an accident, and when calculating the risk related to travel, the number of times the person was involved in an accident during the trip can be considered. The date and time is the time information in which the risk information was registered or observed.

FIG. 2 is a diagram showing a specific example of risk information. As shown in FIG. 2, risks such as traffic and illness are described in association with the person identifier and the date and time.

The user information DB 106b is a database that describes user information. As shown in FIG. 3, the user information includes all or a part of a person identifier for identifying a user, attribute information such as date and time, gender, age, etc., service usage information, location information, and the like.

The risk estimation model 106c is an estimation model for inputting user information and estimating the corresponding risk. As shown in FIG. 4, the risk estimation model construction unit 104 constructs the risk estimation model 106c with the user information as the explanatory variable and the risk information as the objective variable. In FIG. 4, a plurality of items of risk information are used, but the risk information is not limited to this. Multiple estimation models may be built for each risk.

The estimated risk DB 106d is a database of estimated risks estimated by the risk estimation unit 101. Its database structure is the same as the risk information shown in FIG.

The presentation method estimation model 106e is an estimation model for inputting user information and estimating the corresponding presentation method. As shown in FIG. 5, based on the user information DB 106b and the risk comprehension DB 106f, the risk comprehension information whose risk comprehension level is equal to or higher than a predetermined value, and the user information related to the person identifier and the date and time of the risk comprehension information. By performing the learning, the presentation method estimation model 106e is constructed. This learning is performed using the user information as an explanatory variable and the presentation method as an objective variable.

The risk comprehension DB 106f is a database that describes the risk comprehension information calculated by the risk comprehension calculation unit 103. As shown in FIG. 6, the risk comprehension DB 106f describes the risk comprehension information including the person identifier, the date and time, the presentation method, and the risk comprehension.

The risk presentation information DB 106g is a database of risk presentation information that describes the risk presentation method for each user presented by the risk presentation unit 102 and the confirmation date and time (or presentation date and time) from the user for the presentation. The risk presentation information DB 106g may further include a risk presentation method master. The risk presentation method master is information that defines the risk presentation method in more detail. The risk presentation method master may be a separate database.

FIG. 7A shows risk presentation information, and FIG. 7B shows a risk presentation method master. The risk presentation information is information in which the person identifier, the date and time, and the presentation information are associated with each other. The date and time indicates the confirmation date and time or the presentation date and time when the user confirmed the presented risk. The presentation method indicates the type of the method.

As shown in FIG. 7B, the presentation method is further specified from the presentation timing, presentation content, display method, channel, and the like. The timing indicates a presentation time interval, for example, presentation once a week. The content of the presentation indicates the presentation of specific risks, the presentation of risk rankings, and the like. The display method shows a conversational risk explanation, a risk explanation based on objective data, and the like. Channels indicate means of presentation such as email, web, push notifications, and the like.

The processing of the action support device 100 configured in this way will be described. FIG. 8 is a flowchart showing the risk estimation process of the action support device 100. As shown in the figure, the risk estimation unit 101 acquires the user information of one designated user from the user information DB 106b according to a predetermined timing or an instruction of the operator or the user of the action support device 100 (S101). Then, the risk estimation unit 101 applies the acquired user information to the risk estimation model 106c to acquire the estimated risk (S102). The risk estimation unit 101 stores the acquired estimated risk in the estimated risk DB 106d (S103). This estimation process is repeated with the passage of time, and the risk for each user is described in the estimated risk DB 106d in chronological order.

FIG. 9 is a schematic diagram showing an estimation process of an estimation risk from user information. As shown in FIG. 9, the estimated risk can be derived by applying the user information to the risk estimation model. In FIG. 9, the estimated risk is described only in the traffic column, but the estimated risk may be described in all items.

In the processing of the behavior support device 100, the risk information may be estimated only from the user information based on a specific rule without using the risk estimation model (S102). For example, when estimating the risk related to travel, it is conceivable to estimate based on a rule such as "number of domestic trips + 2 x number of overseas trips". The reason for multiplying the number of overseas trips by 2 is that it is assumed that overseas travel has a higher risk.

Next, the construction and learning process of the risk estimation model 106c will be described. FIG. 10 is a flowchart showing the construction process of the risk estimation model 106c in the action support device 100. The risk estimation model construction unit 104 acquires user information and risk information from the user information DB 106b and the risk information DB 106a, respectively (S201). Then, the risk estimation model construction unit 104 performs a learning process by supervised learning (S202). Here, learning processing is performed using user information as an explanatory variable and risk information as an objective variable. Then, the risk estimation model construction unit 104 stores the risk estimation model 106c constructed by the learning process in the storage unit 106 (S203). If the storage unit 106 has already stored the risk estimation model 106c, the update process may be performed. The update process of the risk estimation model 106c is performed periodically, and the latest estimation model may always be constructed.

Next, the risk presentation process will be described. FIG. 11 is a flowchart of the risk presentation process of the action support device 100. The risk presentation unit 102 acquires the user information and the estimated risk of the user to be presented from the user information DB 106b and the estimated risk DB 106d (S301). The risk presentation unit 102 determines whether or not the learned presentation method estimation model 106e is stored in the storage unit 106 (S302).

If it is determined to exist (S302: YES), the risk presentation unit 102 acquires the presentation method estimation model 106e (S303) and estimates the presentation method based on the user information (S304). For example, as shown in FIG. 7, it is estimated whether the presentation method A or the presentation method B is used. The presentation method in FIG. 7 is shown as a combination of presentation timing, presentation content, display method, and channel, but is not limited to this, and any one of presentation timing, presentation content, display method, channel, and the like, or Any combination may be used as the presentation method.

The risk presentation unit 102 presents risk information according to the estimated presentation method (S305). The risk presentation unit 102 collects the user's reaction to the presentation and stores it in the risk presentation information DB 106g (S306). The reaction of this user indicates that the risk presentation has been confirmed. The risk presentation unit 102 requests the user to confirm the risk when presenting the risk to the user. This confirmation is not essential when using the risk presentation date and time when calculating the user comprehension level.

In S302, when the presentation method estimation model 106e does not exist (S302: NO), the risk presentation unit 102 selects the presentation method and presents the risk information by the presentation method based on the initial settings (S304, S305). ). In addition to the method set in advance such as the initial setting, the presentation method may be randomly determined.

Next, the process of calculating the user's understanding of risk will be described. FIG. 12 is a flowchart showing the process. The risk comprehension calculation unit 103 acquires the risk presentation information and the estimated risk of the target user from the risk presentation information DB 106g and the estimated risk DB 106d (S401). Then, the risk understanding degree calculation unit 103 compares the date and time when the user confirms the risk presentation (may be the date and time when the risk is presented) with the date and time when the change point of the estimated risk is detected (S402).

The change point is the point (date and time) when the estimated risk of the user changes, and represents the date and time when the estimated risk or the temporal tendency of the estimated risk is significantly lower than in the past.

This change point is detected by using a known time-series data abnormality detection method.

If it is determined that they match (S403: YES), the risk comprehension calculation unit 103 compares the risks before and after the confirmation and calculates the risk comprehension (S404). For example, the risk comprehension calculation unit 103 determines the risk change for a certain period before and after the change point (the period is arbitrary, and the period before and after may be different depending on the definition of the distance described later), and the risk before the change point. Alternatively, the risk change and the risk after the change point or the risk change are extracted respectively. Then, the risk comprehension calculation unit 103 calculates the distance between the risk or risk change before the change point and the risk or risk change after the change point, and calculates the risk comprehension.

For example, when the change point (≈ the date and time when the user confirms the risk presentation) is 13:00 on the nth day, the risk comprehension calculation unit 103 sets the risk change before the change point from 13:00 to n on the n-1 day. There is a method in which one day's worth is 12:59 on the day and the risk change after the change point is one day's worth on the nth day 13:00 to n + 1 day 12:59. In this case, the difference in risk at the same time is calculated, and the total value of the difference is calculated as the degree of understanding of risk. The calculation of the distance is not limited to the above method, and any definition of the distance may be used.

Then, the risk comprehension calculation unit 103 describes the calculated risk comprehension in the risk comprehension DB 106f together with the user's person identifier, date and time, and presentation method as risk comprehension information (S405). This date and time indicates the date and time of the change point.

On the other hand, if it is determined in the process S403 that they do not match (S403: NO), the risk comprehension calculation unit 103 determines that the risk does not change after the user understands the risk, and sets the risk comprehension = 0. Described in the risk comprehension level DB 106f (S406).

The fact that the date and time when the user confirmed the risk presented and the date and time of the change point matched was considered to have improved in the direction of reducing the risk by taking some action based on the user's presentation or confirmation of the risk. Be done.

On the contrary, if they do not match, it is considered that the user takes no action and does not understand the risk due to the risk presentation or confirmation.

In order to consider the case where the user changes the behavior for risk mitigation after the risk is presented and a certain time has passed, a certain time grace may be provided for the judgment of the match or the mismatch in the process S403, and the change point. If the difference between the date and time of the above and the date and time confirmed by the user for the risk presentation included in the risk presentation information DB 106g is within the threshold range, it may be regarded as a match.

Next, the construction of the presentation method estimation model will be described. FIG. 13 is a flowchart showing the construction process. The presentation method estimation model construction unit 105 acquires user information and risk comprehension information from each of the user information DB 106b and the risk comprehension DB 106f (S501).

The presentation method estimation model construction unit 105 extracts the user information corresponding to the risk presentation whose risk comprehension level is equal to or higher than the threshold value and the presentation method (S502). Then, the presentation method estimation model construction unit 105 performs learning processing by supervised learning. Here, the presentation method estimation model 106e is constructed by performing the learning process using the user information narrowed down by the threshold value as the explanatory variable and the corresponding presentation method as the objective variable (S503). The presentation method estimation model construction unit 105 updates the constructed presentation method estimation model 106e (S504).

As a modification, in addition to the information related to the person identifier included in the user information when performing the above learning, the past presentation method presented to the user may be treated as a learning feature amount (explanatory variable). good. In this case, the risk presentation unit 102 described above refers to the risk presentation information described in the risk presentation information DB 106g.

The processes of FIGS. 12 and 13 may be performed periodically and the presentation method estimation model may be updated to the latest model at that time. Further, the processes of FIGS. 12 and 13 may be performed independently of each other.

Next, the action and effect of the action support device 100 of the present embodiment will be described. The action support device 100 includes a risk estimation unit 101 that estimates the user's risk, a risk presentation unit 102 that presents the user's risk to the user, and a presentation time or confirmation time (based on the presentation) by the risk presentation unit 102. A reference time) and a risk comprehension calculation unit 103 that calculates the user's risk comprehension based on the change in the user's risk are provided.

With this configuration, the user's risk understanding level can be calculated. Therefore, it is possible to process or respond according to the degree of risk understanding. For example, the risk can be presented to the user by a method according to the degree of risk understanding. In addition, there are incentives such as adjustment of insurance contents such as reduction of insurance premiums as processing according to the degree of understanding of risk.

In addition, the risk comprehension calculation unit 103 in the behavior support device 100 obtains the change time, which is the date and time when the time-series change point composed of the risks estimated by the risk estimation unit 101 is detected. Then, the risk comprehension calculation unit 103 is based on the presentation date / time or confirmation date / time (reference time based on the presentation) by the risk presentation unit 102, the date / time when the change point is detected, and the confirmation date / time or the date / time of the change point. The degree of risk understanding is calculated based on the change in risk before and after.

For example, when the difference between the confirmation date and time and the detection date and time of the change point is less than a predetermined threshold value, the risk comprehension calculation unit 103 compares the change in risk before and after the confirmation date and time or the date and time of the change point. Based on this, the risk comprehension level is calculated.

It is possible to obtain the change time from the change in risk based on another method, and calculate the risk understanding level of the user based on the risk change based on the confirmation date and time or the presentation date and time which is the reference time. For example, an operator or the like may visually specify the change time.

When the confirmation date and time and the detection date and time of the change point are less than a predetermined threshold value, it can be assumed that the user recognizes the risk and acts to improve the risk. Therefore, it is expected that the risk will decrease before and after that. In the present embodiment, the risk comprehension level of the user can be accurately calculated by calculating the risk comprehension level based on the difference.

On the other hand, in the behavior support device 100, the risk comprehension calculation unit 103 sets the user's risk comprehension to 0 when the confirmation date and time and the detection date and time of the change point are equal to or longer than a predetermined interval.

It is considered that the change point in this case is not based on the result of the user recognizing the risk and improving it. Therefore, in such a case, it is appropriate to set the user's understanding of risk to 0.

Further, in the behavior support device 100, the risk presenting unit 102 presents the user's risk by a presenting method in consideration of the degree of understanding of the user. For example, by increasing the frequency of presentation to the user or making the presentation content more detailed, the presentation can be made so that the user's risk understanding level is high.

Further, in the behavior support device 100, a presentation method estimation model is constructed in which the risk presentation method is learned based on the user's risk presentation method by the risk presentation unit 102 and the risk understanding degree calculated by the risk understanding degree calculation unit 103. A unit 105 is further provided. Then, the risk presentation unit 102 presents the risk according to the risk presentation method learned by the presentation method estimation model construction unit 105.

With this configuration, it is possible to learn more appropriate risk presentation methods. For example, the risk understanding of the user can be improved by constructing the presentation method estimation model 106e using the risk information of the user whose risk understanding is equal to or higher than a predetermined value.

In the above explanation, the user's understanding of risk is obtained from the risk change, mainly using the confirmation date and time as the reference time. However, the date and time of presentation of the risk may be not limited to the confirmation date and time. In addition to the confirmation date and time, the reference time before and after the risk change may be the date and time of the change point (change time).

The block diagram used in the description of the above embodiment shows a block of functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Further, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized by using one physically or logically connected device, or directly or indirectly (for example, two or more physically or logically separated devices). , Wired, wireless, etc.) and may be realized using these plurality of devices. The functional block may be realized by combining the software with the one device or the plurality of devices.

Functions include judgment, decision, judgment, calculation, calculation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, solution, selection, selection, establishment, comparison, assumption, expectation, and assumption. Broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc., but limited to these I can't. For example, a functional block (constituent unit) for functioning transmission is called a transmitting unit or a transmitter. As described above, the method of realizing each of them is not particularly limited.

For example, the behavior support device 100 in one embodiment of the present disclosure may function as a computer that processes the behavior support method of the present disclosure. FIG. 14 is a diagram showing an example of the hardware configuration of the action support device 100 according to the embodiment of the present disclosure. The above-mentioned action support device 100 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

In the following description, the word "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the action support device 100 may be configured to include one or more of the devices shown in the figure, or may be configured not to include some of the devices.

For each function in the action support device 100, by loading predetermined software (program) on the hardware such as the processor 1001 and the memory 1002, the processor 1001 performs an calculation, controls the communication by the communication device 1004, and the memory. It is realized by controlling at least one of reading and writing of data in the 1002 and the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic unit, a register, and the like. For example, the risk estimation unit 101, the risk estimation model construction unit 104, the risk comprehension calculation unit 103, the presentation method estimation model construction unit 105, and the like may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module, data, and the like from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above-described embodiment is used. For example, the risk estimation unit 101, the risk estimation model construction unit 104, the risk comprehension calculation unit 103, and the presentation method estimation model construction unit 105 may be realized by a control program that is stored in the memory 1002 and operates in the processor 1001. Other functional blocks may be realized in the same manner. Although it has been explained that the various processes described above are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be implemented by one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, or the like that can be executed to implement the action support method according to the embodiment of the present disclosure.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server or other suitable medium containing at least one of memory 1002 and storage 1003.

The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. Communication device 1004 includes, for example, a high frequency switch, a duplexer, a filter, a frequency synthesizer, and the like in order to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). It may be composed of. For example, the above-mentioned risk information, acquisition unit (not shown) for acquiring user information, and the like may be realized by the communication device 1004. The acquisition unit may be physically or logically separated from the transmission unit and the reception unit.

The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured by using a single bus, or may be configured by using a different bus for each device.

Further, the action support device 100 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured by, and a part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented using at least one of these hardware.

Notification of information is not limited to the embodiments / embodiments described in the present disclosure, and may be performed by other methods. For example, information notification includes physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling, etc. It may be carried out by notification information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. Further, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

Each aspect / embodiment described in the present disclosure includes LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), and 5G (5th generation mobile communication). system), FRA (Future Radio Access), NR (new Radio), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)) )), IEEE 802.16 (WiMAX®), IEEE 802.20, UWB (Ultra-WideBand), Bluetooth®, and other systems that utilize and extend based on these. It may be applied to at least one of the next generation systems. Further, a plurality of systems may be applied in combination (for example, a combination of at least one of LTE and LTE-A and 5G).

The order of the processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in the present disclosure may be changed as long as there is no contradiction. For example, the methods described in the present disclosure present elements of various steps using exemplary order, and are not limited to the particular order presented.

Information and the like can be output from the upper layer (or lower layer) to the lower layer (or upper layer). Input / output may be performed via a plurality of network nodes.

The input / output information and the like may be stored in a specific location (for example, memory), or may be managed using a management table. Input / output information and the like can be overwritten, updated, or added. The output information and the like may be deleted. The input information or the like may be transmitted to another device.

The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

Each aspect / embodiment described in the present disclosure may be used alone, in combination, or switched with execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit notification, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described in the present disclosure. The present disclosure may be implemented as an amendment or modification without departing from the purpose and scope of the present disclosure, which is determined by the description of the scope of claims. Therefore, the description of the present disclosure is for the purpose of exemplary explanation and does not have any restrictive meaning to the present disclosure.

Software is an instruction, instruction set, code, code segment, program code, program, subprogram, software module, whether called software, firmware, middleware, microcode, hardware description language, or another name. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc. should be broadly interpreted to mean.

Further, software, instructions, information and the like may be transmitted and received via a transmission medium. For example, a website, where the software uses at least one of wired technology (coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.) and wireless technology (infrared, microwave, etc.). When transmitted from a server, or other remote source, at least one of these wired and wireless technologies is included within the definition of transmission medium.

The information, signals, etc. described in the present disclosure may be represented using any of a variety of different techniques. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be voltage, current, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may be represented by a combination of.

The terms described in the present disclosure and the terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Also, the signal may be a message. Further, the component carrier (CC: Component Carrier) may be referred to as a carrier frequency, a cell, a frequency carrier, or the like.

The terms "system" and "network" used in this disclosure are used interchangeably.

Further, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, relative values from predetermined values, or using other corresponding information. It may be represented. For example, the radio resource may be one indicated by an index.

The names used for the above parameters are not limited in any respect. Further, mathematical formulas and the like using these parameters may differ from those explicitly disclosed in this disclosure. Since the various channels (eg, PUCCH, PDCCH, etc.) and information elements can be identified by any suitable name, the various names assigned to these various channels and information elements are in any respect limited names. is not.

The terms "determining" and "determining" as used in this disclosure may include a wide variety of actions. "Judgment" and "decision" are, for example, judgment, calculation, computing, processing, deriving, investigating, looking up, search, inquiry. It may include (eg, searching in a table, database or another data structure), ascertaining as "judgment" or "decision". Also, "judgment" and "decision" are receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (Accessing) (for example, accessing data in memory) may be regarded as "judgment" or "decision". In addition, "judgment" and "decision" mean that "resolving", "selecting", "choosing", "establishing", "comparing", etc. are regarded as "judgment" and "decision". Can include. That is, "judgment" and "decision" may include that some action is regarded as "judgment" and "decision". Further, "judgment (decision)" may be read as "assuming", "expecting", "considering" and the like.

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements, and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. For example, "connection" may be read as "access". As used in the present disclosure, the two elements use at least one of one or more wires, cables and printed electrical connections, and, as some non-limiting and non-comprehensive examples, the radio frequency domain. Can be considered to be "connected" or "coupled" to each other using electromagnetic energies having wavelengths in the microwave and light (both visible and invisible) regions.

The phrase "based on" as used in this disclosure does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

When "include", "including" and variations thereof are used in the present disclosure, these terms are as comprehensive as the term "comprising". Is intended. Furthermore, the term "or" used in the present disclosure is intended not to be an exclusive OR.

In the present disclosure, if articles are added by translation, for example, a, an and the in English, the disclosure may include the nouns following these articles being plural.

In the present disclosure, the term "A and B are different" may mean "A and B are different from each other". The term may mean that "A and B are different from C". Terms such as "separate" and "combined" may be interpreted in the same way as "different".

100 ... behavior support device, 101 ... risk estimation unit, 102 ... risk presentation unit, 103 ... risk comprehension calculation unit, 104 ... risk estimation model construction unit, 105 ... presentation method estimation model construction unit, 106 ... storage unit, 106a ... Risk information DB, 106b ... User information DB, 106c ... Risk estimation model, 106d ... Estimated risk DB, 106e ... Presentation method estimation model, 106f ... Risk understanding level DB, 106g ... Risk presentation information DB.

The behavior support device of the present invention includes a risk estimation unit that estimates a user's risk, a presentation unit that presents the user's risk to the user, and the user's before a reference time based on the presentation by the presentation unit . It is provided with a risk comprehension calculation unit that calculates a change between the risk and the risk of the user after the reference time and calculates the risk comprehension of the user based on the change .

Claims (9)

A risk estimation unit that estimates the user's risk,
A presentation unit that presents the user's risk to the user,
A risk comprehension calculation unit that calculates the user's risk comprehension based on the reference time based on the presentation by the presentation unit and the change in the user's risk.
Behavior support device equipped with. The risk comprehension calculation unit
The change time indicating the time-series change point of the risk estimated by the risk estimation unit is obtained.
The risk comprehension level is calculated based on the reference time, the change time, and the change in risk before and after the reference time or the change time.
The action support device according to claim 1. The risk comprehension calculation unit
When the difference between the reference time and the change time is less than the threshold value, the risk comprehension degree is calculated based on the comparison of the risk change before and after the reference time or the change time.
The action support device according to claim 2. The risk comprehension calculation unit
The behavior support device according to claim 2 or 3, wherein when the difference between the reference time and the change time is equal to or greater than a threshold value, the risk comprehension level is set to 0. The behavior support device according to any one of claims 1 to 4, wherein the presentation unit presents a user's risk by a presentation method presumed to increase the user's understanding. A presentation method learning unit for learning a presentation method estimation model for deriving a risk presentation method based on the user's risk presentation method by the presentation unit and the risk understanding level calculated by the risk comprehension calculation unit is further provided. ,
The behavior support device according to any one of claims 1 to 5, wherein the presentation unit presents a risk according to a risk presentation method derived by a presentation method estimation model learned by the presentation method learning unit. The presentation method learning unit
The behavior support device according to claim 6, wherein a presentation method estimation model is learned by using a risk presentation method of a user whose risk understanding level is equal to or higher than a predetermined value. The presentation method learning unit
The behavior support device according to claim 6 or 7, wherein the user information of the user is further added to learn the presentation method estimation model. The presentation method learning unit
The behavior support device according to any one of claims 6 to 8, further learning a presentation method estimation model by adding a risk presentation method presented in the past for each user.

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