Information processing method, information processing device, and program

Abstract

To suppress a state where a driver is excessively tense or excessively relaxed.SOLUTION: An information processing device: acquires position information of a vehicle and security information indicating a security status of an area where the vehicle is located; acquires information on a user from the user of the vehicle; estimates a degree of anxiety of the user based on the information on the user; and determines whether or not to provide first notification to the user based on the security information and the degree of anxiety.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an information processing method, an information processing device, and a program. [Background technology]

[0002] There are technologies that control various notifications for vehicle users depending on the user's condition. Patent Document 1 discloses a technology that transmits road condition information ahead of the vehicle in the direction of travel based on the vehicle's current position and direction of travel, and describes changing the time interval for transmitting the road condition information to an in-vehicle terminal depending on the driver's physical condition measured by pulse rate, etc. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-165378 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 has a problem in that too much situation information is provided to a beginner driver or an anxious user, which may cause excessive anxiety.

[0005] Therefore, an object of the present invention is to prevent the driver from being too tense or too relaxed. [Means for solving the problem]

[0006] According to the present invention, a first acquisition step of acquiring vehicle location information and security information indicating the security situation of an area where the vehicle is located; a second acquisition step of acquiring information about the user from the user of the vehicle; an estimation step of estimating an anxiety level of the user based on information about the user; a determination step of determining whether to issue a first notification to the user based on the public safety information and the anxiety level; An information processing method is provided, comprising: [Effects of the Invention]

[0007] According to the present invention, it is possible to prevent the driver from becoming too tense or too relaxed. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of a system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a block diagram showing an example of a hardware configuration of an information processing apparatus. [Figure 3] FIG. 1 is a block diagram showing an example of a functional configuration of an information processing apparatus. [Figure 4] 10 is a flowchart showing an example of information processing by an information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, the embodiments will be described in detail with reference to the accompanying drawings. Note that the following embodiments do not limit the scope of the invention as claimed, and not all combinations of features described in the embodiments are necessarily essential to the invention. Two or more of the features described in the embodiments may be combined in any desired manner. Furthermore, the same reference numerals are used to designate identical or similar components, and redundant descriptions will be omitted.

[0010] A system including an information processing device that performs an information processing method according to this embodiment will be described below with reference to Fig. 1. In Fig. 1, an information processing device 100 mounted on a vehicle 110 is connected to a server 130 via a network 120. The information processing device 100 is also connected to a terminal (user terminal) 140 owned by a user 145 of the vehicle 110 so as to be able to communicate with the terminal 140.

[0011] 2 is a block diagram showing an example of a hardware configuration of the information processing device 100 according to this embodiment. The information processing device 100 includes a processing unit 201, a storage unit 202, and a communication unit 203. The processing unit 201 is a processor typified by a CPU, and executes programs stored in the storage unit 202. The storage unit 202 is a storage device such as a RAM, a ROM, or a hard disk. The communication unit 203 includes a wired or wireless communication interface capable of communicating with the vehicle 110 or the terminal 140 via a communication network.

[0012] The storage unit 202 stores various data in addition to the program executed by the processing unit 201. The program may be installed in the information processing device 100 from the server 130 or a storage medium such as a CD-ROM. The storage unit 202 according to this embodiment is assumed to register the terminal 140 owned by the user 145 corresponding to the vehicle 110 in association with the vehicle 110. Here, the description will be given assuming that there is one terminal 140 associated with the vehicle 110, but the number of terminals 140 associated with the vehicle 110 is not particularly limited.

[0013] In the present embodiment, the processing described below is performed by the information processing device 100 mounted on the vehicle 110, but the present invention is not limited to such a configuration as long as it is possible to perform similar processing. For example, some or all of the processing described below as being performed by each functional unit of the information processing device 100 may be performed by the terminal 140 or the server 130.

[0014] 3 is a block diagram showing an example of the configuration of a vehicle 110 equipped with an information processing device 100 according to this embodiment. Known functional units related to driving the vehicle, such as a motor, can be used, and a description thereof will be omitted here. The vehicle 110 includes, as functional units of the information processing device 100, a vehicle-related information acquisition unit 111, a user information acquisition unit 112, an estimation unit 113, a determination unit 114, and a communication unit 115. Each of these functional units will be described below.

[0015] The vehicle-related information acquisition unit 111 acquires, as vehicle-related information, location information of the vehicle 110 and security information indicating the security situation of the area where the vehicle 110 is located. The location information of the vehicle 110 may be managed by the server 130 based on a location sensor (not shown), such as a GPS, that the vehicle 110 has. The vehicle-related information acquisition unit 111 may also acquire the location information of the vehicle 110 by referring to location information acquired by a terminal 140 (owned by the user of the vehicle 110) that is associated with the vehicle 110. The location information of the vehicle 110 can be acquired using any method for managing the location information of the vehicle on a map, and therefore detailed description thereof will be omitted.

[0016] The public safety information according to this embodiment is information indicating the public safety situation of each area, set for each partial region (area) on a map. The public safety information may be, for example, an evaluation value (attention level) that indicates the degree of public safety on a predetermined scale (e.g., five scales from 1 to 5). Here, the degree of public safety is assumed to be preset for each area on an application running on the vehicle 110's onboard device. However, it may also be set based on information input by the application user for the area. In the following description, it is assumed that the above-described attention level, which indicates the degree of public safety on a five scale from 1 to 5, is set as the public safety information for each area. In the following description, the term "application" refers to an application running on the vehicle 110's onboard device (e.g., an application having a route guidance function), as described above. However, the same explanation may also be applied to an application running on the terminal 140 that functions in cooperation with such an application.

[0017] The "area" according to this embodiment may be defined in any manner as long as it is a partial region set on a map. For example, the area may refer to each area obtained by dividing a map into predetermined units such as cities, wards, towns, and villages, may be an area indicating a certain range centered on a predetermined landmark, or may be a rectangular region set on a map such as a shopping center or a section of a highway. For example, a predetermined range centered on a shopping center may be defined as an area, and security information about facilities included in the shopping center may be used as security information for that area. Security information about facilities included in the shopping center may be, for example, the number of incidents of trouble in the shopping center's parking lot or word-of-mouth information about the shopping center's restrooms.

[0018] The user information acquisition unit 112 acquires information about the user from the user 145 of the vehicle 110. The information about the user may be acquired, for example, from a captured image of the user, or may be acquired by a sound collection device (microphone) provided in the vehicle 110 or the terminal 140, or may be acquired by a sensor (not shown) that measures biometric information of the user. The information about the user will be described later.

[0019] The estimation unit 113 estimates the anxiety level of the user 145 based on the acquired information about the user, and sets it for the user 145. Here, the anxiety level of the user is an evaluation value expressed in a predetermined scale (for example, five scales from 1 to 5). An example of the anxiety level estimation process using the information about the user according to this embodiment will be described below.

[0020] The information about the user can be, for example, biometric information of the user 145. Here, biometric information refers to, for example, the pulse, heart rate, blood pressure, sweat rate, respiratory rate, brain waves, body temperature, or brain waves of the user 145, or information that can be derived from any of these, but is not particularly limited to these as long as it is information that is generally acquired as biometric information.

[0021] For example, the estimation unit 113 may set the anxiety level according to the user's heart rate acquired by the user information acquisition unit 112 (by setting a threshold for the heart rate value). In the following, the heart rate value will be described as the number of times the heart beats per minute without a unit. The estimation unit 113 may estimate the anxiety level, which is set within a range of 1 to 5, as follows: 1 when the user's heart rate is 60 or less; 2 when the heart rate is higher than 60 and lower than 70; 3 when the heart rate is higher than 70 and lower than 80; 4 when the heart rate is higher than 80 and lower than 85; and 5 when the heart rate is higher than 85. The threshold used here can be set arbitrarily. Furthermore, the threshold used here may be set based on, for example, the result of measuring the user's heart rate while driving normally (for example, the anxiety level is set to 1 when the heart rate is up to 10 higher than the average heart rate over a predetermined period).

[0022] For example, the estimation unit 113 may increase the anxiety level currently set for the user by 1 when the period during which the user's heart rate acquired by the user information acquisition unit 112 exceeds a threshold exceeds a predetermined time. For example, the estimation unit 113 may set the initial value of the anxiety level to 2, and increase the anxiety level by 1 when the user's heart rate (acquired every 5 seconds, for example) is 80 or higher for more than 30 seconds. The estimation unit may also decrease the anxiety level currently set for the user by 1 when the period during which the user's heart rate acquired by the user information acquisition unit 112 is less than a threshold (for example, 65) exceeds a predetermined time (for example, 30 seconds). The threshold and predetermined time used here can be set arbitrarily. The threshold and predetermined time described here are merely examples, and can be set arbitrarily depending on the expected user demographic, etc., and may also be changed depending on the time of day when driving is performed, the time since driving began, etc.

[0023] Furthermore, the information about the user may be information acquired from a captured image of the user 145. For example, the information about the user may be a recognition result of the user 145's face based on an image captured by an imaging device arranged in the vehicle 110 to capture the driver's face (hereinafter simply referred to as a facial image). For example, when the estimation unit 113 recognizes a specific facial expression in the facial image, the estimation unit 113 may set an anxiety level corresponding to the facial expression for the user (or increase the anxiety level set for the user by 1). The estimation unit 113 can estimate the anxiety level of the user 145 from the facial image based on a machine learning model that has been trained in advance to input a human facial image and output a corresponding anxiety level. In this embodiment, a machine learning model that recognizes facial expressions preset as indicating tension, such as a pale complexion, furrowed brows, or wide-open eyes, and sets the anxiety level may be used. With this configuration, it is possible to perform estimation processing such that the anxiety level increases when the user has a tense facial expression and decreases when the user has a relaxed facial expression.

[0024] Furthermore, for example, when the estimation unit 113 detects a predetermined posture of the user based on an image of the user, it may set an anxiety level for the user corresponding to the posture. Here, for example, when a predetermined posture such as a forward-leaning posture or stiff shoulders is detected, it may set an anxiety level for the user corresponding to the posture (or increase the anxiety level set for the user by 1). The estimation unit 113 can estimate the anxiety level of the user 145 from the image based on a machine learning model that has been trained in advance to input an image of a person (particularly an image of the upper body) and output a corresponding anxiety level. With this configuration, it is possible to perform estimation processing such that the anxiety level is high when the user is in a posture that makes them feel tense, and low when the user is in a relaxed posture.

[0025] The information about the user may be information contained in the voice acquired from the user 145. For example, the information about the user may be information contained in the voice (hereinafter simply referred to as the user voice) collected by a sound collecting device arranged in the vehicle 110 so as to be able to collect the driver's voice, and the information about the user. For example, when a specific utterance is included in the user voice, the estimation unit 113 may set an anxiety level corresponding to the utterance for the user (or increase the anxiety level set for the user by 1). The "specific utterance" here may be set arbitrarily depending on the expected user demographic, and may be, for example, an utterance that a nervous user might utter, such as "bad," "horrible," or "wow." For example, the estimation unit 113 may set the anxiety level of the user 145 based on the volume of the user voice. For example, the estimation unit 113 may set a volume threshold (e.g., as a median) based on the volume of voices collected over a certain period of time, and increase the anxiety level by 1 when a user voice with a volume exceeding the threshold is recognized. In addition, the estimation unit 113 may decrease the anxiety level set for the user by 1 if a period of time continues in which the specific utterances described above or the user's voice at a volume exceeding the set volume threshold is not recognized.

[0026] The estimation unit 113 can estimate the anxiety level of the user 145 from the user's voice based on a machine learning model that has been trained in advance to input human voice and output a corresponding anxiety level. In this embodiment, a machine learning model can be used that recognizes user voice that includes a specific utterance or a voice waveform of a utterance made when nervous, and sets the anxiety level. With this configuration, it is possible to set the anxiety level based on the user's voice while driving.

[0027] Furthermore, the estimation unit 113 may estimate the anxiety level of the user based on the above-described biological information of the user 145. The biological information of the user 145 may be measured by a sensor provided in the vehicle 110, may be measured by an external device (not shown) mounted in the vehicle 110, or may be measured by a device (including the terminal 140) worn or held by the user 145. For example, the amount of sweat, heart rate, body temperature, etc. measured by a sensor provided in the steering wheel of the vehicle 110 may be used as the biological information, or pulse rate, blood pressure, etc. measured by a device worn by the user on the wrist may be used.

[0028] The decision unit 114 decides whether to issue a notification (hereinafter, sometimes referred to as a first notification to distinguish it from a second notification, which will be described later) to the user 145 based on the security information acquired by the vehicle-related information acquisition unit 111 and the anxiety level of the user 145 estimated by the estimation unit 113. For example, the decision unit 114 may compare the above-mentioned attention level, which is represented by a value of 1 to 5, with the anxiety level, which is also represented by a value of 1 to 5, and decide whether to issue a notification according to the relationship between these values. In the following description, the "anxiety level" to be compared with the attention level will be described as the anxiety level represented by the above-mentioned five-level value of 1 to 5.

[0029] For example, the decision unit 114 may decide to issue a notification recommending relaxation when the attention level is less than the anxiety level and the absolute value of the difference between the anxiety level and the attention level is equal to or greater than a predetermined threshold (e.g., 2 or more). The notification recommending relaxation according to this embodiment may be the reproduction of a set predetermined voice or the display of text, such as "Please relax a little more while driving" or "You're too tense." The reproduction of the predetermined voice may also be the reproduction of predetermined music recommending relaxation. Any predetermined music can be used for the music recommending relaxation, but for example, natural environmental sounds or the sound of a music box may be used.

[0030] Furthermore, for example, the notification recommending relaxation may be the emission of a predetermined fragrance into the vehicle 110. The fragrance used here may be, for example, a lemon fragrance, a rosemary fragrance, a jasmine fragrance, a lavender fragrance, a mint fragrance, or a sandalwood fragrance, but the components used are not particularly limited as long as they are expected to have a relaxing effect.

[0031] Furthermore, for example, the decision unit 114 may decide to issue a notification that presents information to call attention as a notification when the attention level is higher than the anxiety level and the absolute value of the difference between the attention level and the anxiety level is equal to or greater than a predetermined threshold (for example, 2 or more). The information to call attention according to this embodiment may be the reproduction of a set predetermined voice or the display of text, such as "Please be careful" or "Drive carefully." Furthermore, the reproduction of the predetermined voice may be the reproduction of a predetermined alert to call attention.

[0032] Furthermore, the first notification according to the present embodiment may include information regarding the level of attention alertness in an area included in a planned driving route set in the vehicle 110. Here, the area included in the planned driving route refers to the area of ​​the departure point, areas passed through, or the destination area on the planned driving route. The planned driving route of the vehicle 110 can be input using known driving assistance technology, and may be input, for example, via a device equipped with a car navigation function mounted on the vehicle 110, or a terminal 140 that communicates with the vehicle 110.

[0033] The information about the level of caution for an area may be, for example, the crime rate, traffic accident rate, information about suspicious persons, or the number of incidents of trouble in the area, or word-of-mouth information from residents or visitors of the area. For example, the decision unit 114 may play a sound encouraging relaxation or urging caution, along with a notification including information about the high / low crime rate or traffic accident rate. For example, if the public safety information about the road currently being traveled indicates that traffic accidents occur with a frequency greater than a predetermined frequency, the decision unit 114 may decide to issue a notification such as "This is a road where accidents frequently occur."

[0034] The "number of troubles" here refers to information indicating the number of troubles registered as occurring in the area (for example, on an application) within a predetermined period, such as traffic accidents. Word-of-mouth information refers to information entered by users for the area (for example, on an application).

[0035] For example, if the anxiety level of a user 145 attempting to park the vehicle 110 is 5 in a parking lot of a shopping center where the attention level is set to 2, it is considered that the user is too nervous. Therefore, the determination unit 114 can determine to provide a notification such as, "There have been zero incidents in the parking lot of the shopping center in the past three months, so please try to drive a little more relaxed." Also, for example, if a user 145 with an anxiety level of 5 is driving on a highway at night where the attention level is set to 2, it is considered that the user is too nervous. Therefore, the determination unit 114 can determine to provide a notification such as, "There are reviews saying that the safety area on this highway is 'safe.' There are few users who drive strangely, so please try to drive a little more relaxed, even though it is a nighttime road."

[0036] For example, if a suspicious person has been spotted at the SA that is the destination and the warning level is set to 5, while the anxiety level of the traveling user 145 is 3, the user may not be sufficiently tense. Therefore, the determination unit 114 may issue a notification such as "A suspicious person has been spotted at the SA that is the destination, so greater caution is required," and if an SA with a lower warning level exists within a predetermined range (for example, within a 5-km radius) from the current location, the determination unit 114 may additionally present that SA and issue a notification suggesting that "It would be safer to set this SA as the destination."

[0037] Furthermore, for example, the information processing device 100 may estimate an area through which the vehicle 110 is scheduled to travel, and when the security situation changes between the area where the vehicle 110 is currently located and the area through which the vehicle 110 is scheduled to travel, provide a second notification (notification of change in security situation) to the user 145. The notification of change in security situation according to this embodiment is a notification that notifies the user that the security situation in the area through which the vehicle 110 is scheduled to travel has changed.

[0038] In this embodiment, the attention level is described as being included in the public safety information, but the present invention is not limited to this, as long as the attention level is set based on the public safety information. For example, the initial value of the attention level for an area may be set to 1, and the attention level may be increased according to information included in the public safety information, particularly the crime rate, traffic accident rate, suspicious person information, or number of trouble occurrences in the area. In this case, for example, the attention level may be increased by 1 for each item of the crime rate, traffic accident rate, suspicious person information, and number of trouble occurrences that exceeds a respective threshold.

[0039] For example, if the level of attention is high in the area where vehicle 110 is scheduled to travel compared to the area where vehicle 110 is currently located, the security situation change notification may be a notification such as "Pay more attention because the level of attention will be high." Also, if the level of attention is low in the area where vehicle 110 is scheduled to travel compared to the area where vehicle 110 is currently located, the security situation change notification may be a notification such as "The level of attention will be reduced in the area where vehicle 110 is scheduled to travel." This type of processing makes it possible to urge caution when it is estimated that the current state of tension will be insufficient in the future, and to urge relaxation when it is estimated that the current state of tension will be excessive in the future.

[0040] Here, the area in which the vehicle 110 is scheduled to travel may be estimated based on the planned travel route, or may be estimated based on the current travel direction of the vehicle 110. The current travel direction of the vehicle can be calculated, for example, based on the current position of the vehicle and the destination on the set planned travel route.

[0041] Hereinafter, the process of determining whether or not to issue a notification, performed by the information processing device 100 according to this embodiment, will be described with reference to Fig. 4. Fig. 4 is a flowchart showing an example of information processing by the information processing device 100. The process shown in Fig. 4 is started when an operation start instruction is issued on an application by the processing unit 201 of the information processing device 100.

[0042] In S401, the vehicle-related information acquisition unit 111 acquires location information of the vehicle 110 and security information of the area where the vehicle 110 is currently located. Here, the level of caution is used as the security information.

[0043] In S402, the user information acquisition unit 112 acquires information about the user from the user 145 of the vehicle 110. In S403, the estimation unit 113 estimates the anxiety level of the user 145 based on the information about the user acquired in S402.

[0044] In S404, the decision unit 114 decides whether to notify the user 145 based on the security information acquired in S401 and the anxiety level estimated in S403. Here, the decision unit 114 decides to notify the user 145 when the absolute value of the difference between the alert level represented by a value of 1 to 5 and the anxiety level represented by a value of 1 to 5 is equal to or greater than a predetermined threshold.

[0045] In S405, the determination unit 114 determines the content of the notification to be given to the user 145. If it is determined in S404 that no notification will be given, it is also determined in S405 that there will be no notification content. Here, the determination unit 114 is configured to give a notification recommending relaxation when the attention level is lower than the anxiety level, and to give a notification presenting information calling for caution when the attention level is higher than the anxiety level. Furthermore, the determination unit 114 may include information regarding the attention level of the area in the notification as described above, based on the security information of the area acquired in S401.

[0046] In S406, the processing unit 201 determines whether to continue the processing shown in Fig. 4. Here, for example, if the user has not performed an end operation, the processing continues. If the processing continues, the processing returns to S401, and if not, the processing shown in Fig. 4 ends.

[0047] When a user travels to a remote area that is unfamiliar to the user, they may not know where the unsafe areas are, and may feel anxious because they want to avoid troublesome problems but do not know how to do so efficiently. In particular, while driving, the user may continue driving despite the high possibility of encountering trouble due to not knowing the real-time safety situation at the current location or destination. According to the processing of this embodiment, it is possible to determine whether to issue a first notification to the user based on security information for the area where the vehicle is located and the user's anxiety level estimated from information about the user. In particular, by issuing a notification when the difference between the alert level and the anxiety level is greater than a threshold, the system notifies the driver when the driver is overly tense or overly relaxed, thereby preventing such situations.

[0048] Note that the values ​​exemplified in this embodiment are merely examples, and any value may be used as long as it is possible to execute each process in the same way. For example, in this embodiment, the alert level and anxiety level are both values ​​on a five-level scale from 1 to 5, but they may also be values ​​on a 500-level scale from 0.01 to 5.00 using two decimal places.

[0049] [Summary of the embodiment] The above-described embodiments disclose at least the following information processing method, information processing device, and program.

[0050] 1. The information processing method of the above embodiment is A first acquisition step (e.g., S401) of acquiring vehicle location information and security information indicating the security situation of the area where the vehicle is located; A second acquisition step (e.g., S402) of acquiring information about the user from the user of the vehicle; an estimation step (e.g., S403) of estimating the anxiety level of the user based on information about the user; a decision step (e.g., S404) of deciding whether to issue a first notification to the user based on the public safety information and the anxiety level; Equipped with. According to this embodiment, it is possible to prevent the driver from becoming too tense or too relaxed.

[0051] 2. In the information processing method of the above embodiment, the decision process decides to issue a notification recommending relaxation as the first notification when the evaluation value indicating the poor security included in the security situation is less than the evaluation value indicating the anxiety level and the absolute value of the difference between the evaluation values ​​is greater than or equal to a predetermined threshold. According to this embodiment, if the driver is excessively tense, a notification can be given recommending relaxation.

[0052] 3. In the information processing method of the above embodiment, the notification recommending relaxation is the reproduction of audio or the display of text recommending relaxation. According to this embodiment, it is possible to recommend relaxation to a user who is driving by voice or text display.

[0053] 4. In the information processing method of the above embodiment, the notification recommending relaxation is the emission of a predetermined fragrance inside the vehicle. According to this embodiment, the fragrance can encourage the user to relax even while driving.

[0054] 5. In the information processing method of the above embodiment, the decision process decides to issue a notification that presents information to alert the user as the first notification when the evaluation value indicating the poor security included in the security situation is equal to or greater than the evaluation value indicating the anxiety level and the absolute value of the difference between the evaluation values ​​is higher than a predetermined threshold. According to this embodiment, if the driver is too relaxed, a notice can be given to call attention to the driver's actions.

[0055] 6. In the information processing method of the above embodiment, the first notification includes at least one of the crime rate in the area, the traffic accident rate in the area, information on suspicious persons in the area, the number of incidents of trouble in the area, word-of-mouth information from residents of the area, and word-of-mouth information from visitors to the area. According to this embodiment, it is possible to include area-related information in the notification to the user.

[0056] 7. In the information processing method of the above embodiment, an estimation step of estimating an area in which the vehicle is scheduled to travel; a notification step of issuing a second notification to the user when a security situation changes between the current area of ​​the vehicle and the area to which the vehicle is scheduled to travel; Further provided are: According to this embodiment, it is possible to give a notification taking into consideration the current state of tension and the state of tension that will be required in the future.

[0057] 8. In the information processing method of the above embodiment, the security situation is an evaluation value indicating the security of an area, The second notification is a notification that notifies the user that the level of public safety in the area in which the vehicle is traveling has changed. According to this embodiment, it is possible to notify the user if the degree of public safety changes in the future.

[0058] 9. In the information processing method of the above embodiment, the information about the user is information acquired via an imaging device or a sound collection device. According to this embodiment, it is possible to estimate the anxiety level of a user based on an image or sound.

[0059] 10. In the information processing method of the above embodiment, the estimation step increases the anxiety level of the user when a specific voice of the user is recognized. According to this embodiment, it is possible to increase the anxiety level when a voice that is expected to be uttered in a tense state is recognized.

[0060] 11. In the information processing method of the above embodiment, the estimation step estimates the anxiety level of the user based on a facial image of the user. According to this embodiment, it is possible to evaluate the anxiety level of a user from a facial image.

[0061] 12. In the information processing method of the above embodiment, the information about the user is biometric information about the user. According to this embodiment, it is possible to estimate the anxiety level from the user's biological information.

[0062] 13. In the information processing method of the above embodiment, the information about the user is the user's pulse, heart rate, blood pressure, sweat rate, respiratory rate, brain waves, body temperature, or brain waves, or information that can be derived from any of these. According to this embodiment, various types of physiological information can be used as bioinformation.

[0063] 14. The information processing device of the above embodiment is A first acquisition means (for example, 111) for acquiring vehicle location information and security information indicating the security situation of the area where the vehicle is located; a second obtaining means (e.g., 112) for obtaining information about a user of the vehicle from the user; an estimation means (e.g., 113) for estimating the anxiety level of the user based on information about the user; a decision means (e.g., 114) for deciding whether to issue a first notification to the user based on the public safety information and the anxiety level; Equipped with. According to this embodiment, it is possible to prevent the driver from becoming too tense or too relaxed.

[0064] 15. The program of the above embodiment causes a computer to function as each of the means of the information processing device described in item 14. According to this embodiment, it is possible to prevent the driver from becoming too tense or too relaxed.

[0065] Although the embodiments of the invention have been described above, the invention is not limited to the above-described embodiments, and various modifications and variations are possible within the scope of the gist of the invention. [Explanation of symbols]

[0066] 100: Information processing device, 110: Vehicle, 120: Network, 130: Server, 140: Terminal, 145: User

Claims

1. a first acquisition step of acquiring vehicle location information and security information indicating the security situation of an area where the vehicle is located; a second acquisition step of acquiring information about the user from the user of the vehicle; an estimation step of estimating an anxiety level of the user based on information about the user; a determination step of determining whether to issue a first notification to the user based on the public safety information and the anxiety level; An information processing method comprising:

2. The information processing method of claim 1, characterized in that the decision process determines that a notification recommending relaxation be issued as the first notification when the evaluation value indicating the poor security included in the security situation is less than the evaluation value indicating the anxiety level and the absolute value of the difference between the evaluation values ​​is greater than or equal to a predetermined threshold.

3. The information processing method according to claim 2 , wherein the notification recommending relaxation is a playback of audio or a display of text recommending relaxation.

4. 3. The information processing method according to claim 2, wherein the notification recommending relaxation is the emission of a predetermined fragrance into the vehicle.

5. The information processing method of claim 1, characterized in that the decision process determines to issue a notification that presents information to the user to warn them as the first notification when the evaluation value indicating the poor security included in the security situation is equal to or greater than the evaluation value indicating the anxiety level and the absolute value of the difference between the evaluation values ​​is higher than a predetermined threshold.

6. 2. The information processing method of claim 1, wherein the first notification includes at least one of the crime rate in the area, the traffic accident rate in the area, information on suspicious persons in the area, the number of incidents of trouble in the area, word-of-mouth information from residents of the area, and word-of-mouth information from visitors to the area.

7. an estimation step of estimating an area in which the vehicle is scheduled to travel; a notification step of issuing a second notification to the user when a security situation changes between the current area of ​​the vehicle and the area to which the vehicle is scheduled to travel; The information processing method according to claim 1 , further comprising:

8. The security situation is an evaluation value indicating the security of an area, 8. The information processing method according to claim 7, wherein the second notification is a notification that notifies the user of a change in the level of public safety in an area in which the vehicle is traveling.

9. 2. The information processing method according to claim 1, wherein the information about the user is information acquired via an imaging device or a sound collecting device.

10. 10. The information processing method according to claim 9, wherein the estimation step increases a level of anxiety of the user when a specific voice of the user is recognized.

11. The information processing method according to claim 9 , wherein the estimation step estimates the anxiety level of the user based on a facial image of the user.

12. 2. The information processing method according to claim 1, wherein the information relating to the user is biometric information of the user.

13. 13. The information processing method according to claim 12, wherein the information about the user is the user's pulse, heart rate, blood pressure, sweat rate, respiratory rate, brain waves, body temperature, or brain waves, or information that can be derived from any of these.

14. a first acquiring means for acquiring vehicle location information and security information indicating the security situation of an area where the vehicle is located; a second acquiring means for acquiring information about a user of the vehicle from the user; an estimation means for estimating an anxiety level of the user based on information about the user; a decision means for deciding whether to issue a first notification to the user based on the public safety information and the anxiety level; An information processing device comprising:

15. A program for causing a computer to function as each of the means of the information processing device according to claim 14.

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