Anxiety map display device and anxiety feature presentation device

Abstract

To provide an anxiety map display device and an anxiety feature presentation device for providing information matched with each driver on the basis of the anxiety characteristics of each driver, and for enabling the driver to drive without anxiety.SOLUTION: The anxiety map display device includes an anxiety state acquisition unit that acquires an anxiety state of a driver during traveling, a vehicle position acquisition unit that acquires position information of a vehicle during traveling, a traveling situation acquisition unit that acquires a traveling situation of the vehicle during traveling, an anxiety map generation unit that generates an anxiety map indicating an anxiety occurrence position corresponding to a predetermined traveling situation of the driver based on the position information and the traveling situation when a predetermined anxiety state of the driver is acquired by the anxiety state acquisition unit, and an anxiety map display unit that displays the generated anxiety map of the driver as a personal anxiety map.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an anxiety map display device and an anxiety feature presentation device. [Background technology]

[0002] Anxiety maps have been proposed to display locations on a map where anxiety is likely to occur while driving. By effectively utilizing this anxiety map, the driver can drive with greater peace of mind, and by providing driving assistance using the anxiety map, more effective driving assistance becomes possible. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-109551 [Patent Document 2] Japanese Patent Publication No. 2020-148613 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional anxiety maps were not displayed in accordance with the anxiety characteristics of the actual driver (situations that make the driver feel anxious, driving conditions that make the driver feel anxious, etc.), but were merely displayed in accordance with the anxiety characteristics of an average driver. Therefore, the anxiety map may not necessarily be in line with the perceptions of each driver, and the anxiety map may not be used effectively. Similarly, even if driving assistance parameter control is performed based on the generated anxiety map, it is not necessarily possible to provide driving assistance that is effective for each driver.

[0005] In view of the above problems, the present invention aims to provide an anxiety map display device and an anxiety characteristic presentation device that provide information tailored to each driver based on each driver's anxiety characteristics, allowing them to drive with greater peace of mind. [Means for solving the problem]

[0006] In order to solve the above problem, the anxiety map display device of the embodiment comprises an anxiety state acquisition unit that acquires the anxiety state of the driver while driving, a vehicle position acquisition unit that acquires position information of the vehicle while driving, a driving condition acquisition unit that acquires the driving conditions of the vehicle while driving, an anxiety map generation unit that generates an anxiety map showing the anxiety occurrence position corresponding to the specified driving conditions for the driver based on the position information and the driving conditions when a specified anxiety state for the driver is acquired by the anxiety state acquisition unit, and an anxiety map display unit that displays the generated anxiety map for the driver as a personal anxiety map.

[0007] In addition, the anxiety characteristic presentation device of the embodiment includes an anxiety state acquisition unit that acquires the anxiety state of the driver while driving, a vehicle position acquisition unit that acquires position information of the vehicle while driving, a driving condition acquisition unit that acquires the driving condition of the vehicle while driving, an anxiety characteristic calculation unit that calculates an anxiety characteristic amount for each predetermined aggregation unit based on the position information and the driving condition when a predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit, and an anxiety characteristic presentation unit that presents the calculated anxiety characteristic amount. [Effects of the Invention]

[0008] According to the present disclosure, it is possible to provide information tailored to each driver based on the anxiety characteristics of each driver, display an anxiety map that allows the driver to drive more safely, or present anxiety features. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a functional block diagram of an anxiety map display device according to a first embodiment. [Figure 2]FIG. 2 is an explanatory diagram of an example of acquisition of anxiety state information by the anxiety state acquisition unit in the anxiety map display device of the embodiment. [Figure 3] FIG. 3 is a process flowchart of an information accumulation process for accumulating anxiety occurrence information according to the embodiment. [Figure 4] FIG. 4 is a processing flowchart (part 1) of the anxiety map display processing. [Figure 5] FIG. 5 is a process flowchart (part 2) for displaying an anxiety map. [Figure 6] FIG. 6 is a process flowchart (part 3) for displaying an anxiety map. [Figure 7] FIG. 7 is an explanatory diagram of a display example in which an occurrence frequency image is superimposed on a map image. [Figure 8] FIG. 8 is a functional block diagram of the anxiety map display system of the second embodiment. [Figure 9] FIG. 9 is a flowchart of the operation process when acquiring driver characteristics and attributes. [Figure 10] FIG. 10 is a flowchart of the operation process when storing information. [Figure 11] FIG. 11 is a process flowchart of the transmission process of the stored information. [Figure 12] FIG. 12 is an explanatory diagram of a display processing sequence of a general anxiety map. [Figure 13] FIG. 13 is an explanatory diagram of a modified example of the display processing sequence of the general anxiety map. [Figure 14] FIG. 14 is a process flowchart of information accumulation processing for accumulating anxiety occurrence information according to the third embodiment. [Figure 15] FIG. 15 is a diagram illustrating an example of anxiety occurrence information data. [Figure 16] FIG. 16 is an explanatory diagram of the anxiety state section link list. [Figure 17] FIG. 17 is an explanatory diagram of the data format of the condition data output by the condition data acquisition unit. [Figure 18] FIG. 18 is an explanatory diagram of an example of a condition acquisition screen when displaying a general anxiety map. [Figure 19] FIG. 19 is an explanatory diagram of the screen for setting the characteristics and attributes of the person. [Figure 20] FIG. 20 is an explanatory diagram of a method for deriving a user's anxiety characteristics from the user's answer to a question. [Figure 21] FIG. 21 is a functional block diagram of the anxiety feature presentation device. [Figure 22] FIG. 22 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each driving scene. [Figure 23] FIG. 23 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each driving environment. [Figure 24] FIG. 24 is a diagram illustrating an example of the calculation result of anxiety feature amounts for each driving scene that is generally considered unlikely to cause anxiety. [Figure 25] FIG. 25 is a diagram illustrating an example of calculation results of anxiety feature amounts for each presence or absence of a passenger. [Figure 26] FIG. 26 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each first-time road. [Figure 27] FIG. 27 is a diagram illustrating an example of calculation results of anxiety feature amounts for each predetermined period immediately after starting driving. [Figure 28] FIG. 28 is a processing flowchart of the calculation process of the anxiety feature amount for each driving scene. [Figure 29] FIG. 29 is a processing flowchart of the calculation process of the anxiety feature amount for each driving environment. [Figure 30] FIG. 30 is a process flowchart showing a process for calculating anxiety feature amounts for each driving scene that is generally unlikely to cause anxiety. [Figure 31] FIG. 31 is a process flowchart of the calculation process of the anxiety feature amount on a road that the vehicle is traveling on for the first time. [Figure 32] FIG. 32 is a process flowchart of a calculation process of an anxiety feature amount for a predetermined period immediately after starting driving. [Figure 33] FIG. 33 is a process flowchart of the calculation process of the anxiety feature amount depending on whether or not there is a passenger. [Figure 34]FIG. 34 is a functional configuration block diagram of an information presentation device according to a first aspect of the fifth embodiment. [Figure 35] FIG. 35 is a functional configuration block diagram of an information presentation device according to a second aspect of the fifth embodiment. [Figure 36] FIG. 36 is a functional configuration block diagram of an information presentation device according to a third aspect of the fifth embodiment. [Figure 37] FIG. 37 is an explanatory diagram (part 1) of comparative data of anxiety feature amounts for each driving scene. [Figure 38] FIG. 38 is an explanatory diagram (part 2) of comparative data of anxiety feature amounts for each driving scene. [Figure 39] FIG. 39 is an explanatory diagram (part 3) of comparative data of anxiety feature amounts for each driving scene. [Figure 40] FIG. 40 is a diagram illustrating an example of advice for a combination of driving skill and change in anxiety characteristics. [Figure 41] FIG. 41 is a flowchart showing the operation of the information presentation device 80 according to the third embodiment. [Figure 42] FIG. 42 is a process flowchart of the determination process of the anxiety characteristic change determination unit. DETAILED DESCRIPTION OF THE INVENTION

[0010] Next, the embodiment will be described in detail with reference to the drawings. [1] First embodiment FIG. 1 is a functional block diagram of an anxiety map display device according to a first embodiment. The anxiety map display device 10 includes an anxiety state acquisition unit 11, a vehicle position acquisition unit 12, a driving condition acquisition unit 13, an anxiety occurrence information storage unit 14, a condition acquisition unit 15, an anxiety map data generation unit 16, and an anxiety map display unit 17.

[0011] The anxiety state acquisition unit 11 acquires anxiety state information indicating the anxiety state of the driver of the vehicle. The anxiety state acquisition unit 11 acquires biological information such as the occupant's heart rate or electrodermal activity (EDA), and acquires the anxiety state based on the acquired biological information.

[0012] For details on obtaining anxiety states based on biological information, see, for example, "Kiba and Osuka, "Development of an anxiety level estimation method using physiological indicators for a VR exposure therapy system," Biomedical Engineering, 2020." More specifically, the anxiety state acquisition unit 11 sequentially acquires information indicating the occupant's heart rate and information indicating the EDA from electrodes attached to the steering wheel, for example.

[0013] The occupant's heart rate and EDA can also be configured to be acquired from a wearable device, such as a smart watch, that is worn on the occupant's wrist, arm, or head.

[0014] As an example of an algorithm for acquiring the anxiety state, the anxiety state acquisition unit 11 acquires anxiety state information indicating that the driver is in an anxiety state when the average value of RRI (RR Interval), which is the acquired time series data of heart rate fluctuations, decreases and the average value of SC (Skin Conductance), which is one piece of acquired EDA information, increases significantly.

[0015] In addition, as a method of acquiring an anxious state, in addition to automatically detecting it using biometric information (the example above), it is also possible to recognize a voice spoken by the driver user indicating that the driver is in an anxious state and recognize that the driver is in an anxious state, or to acquire a self-reported voice of anxiety by pressing a button.

[0016] FIG. 2 is an explanatory diagram of an example of acquisition of anxiety state information by the anxiety state acquisition unit in the anxiety map display device of the embodiment. In Figure 2, the solid line L1 represents the time series change in the average value of the occupant's RRI, and the solid line L2 represents the time series change in the average value of the EDA's SC. In FIG. 2, in the time period enclosed by the dashed line, the average value of RRI corresponding to the solid line L1 decreases, and the average value of SC of EDA corresponding to the solid line L2 increases significantly. Therefore, in the example shown in FIG. 2, the anxiety state acquisition unit 11 acquires anxiety state information indicating that the driver is in an anxiety state during the time period enclosed by the dashed frame F.

[0017] The vehicle position acquisition unit 12 identifies the vehicle position by satellite positioning using the Global Navigation Satellite System (GNSS), autonomous positioning using an acceleration sensor, a gyro sensor, or the like, map matching, or the like.

[0018] The driving condition acquisition unit 13 acquires the driving conditions of the vehicle based on the route search result, the map matching result, etc. Here, the driving conditions include, but are not limited to, the width of the road on which the vehicle is driving, the lane, the type of road (motorway including expressway or general road), right turns, lane changes, merging, parking, congestion information provided by the traffic control system, night driving acquired from time information, driving in the rain detected by wiper operation or a sensor, and other driving conditions that may cause anxiety.

[0019] When an anxiety state is detected by the anxiety state acquisition unit 11, the anxiety occurrence information storage unit 14 stores the vehicle position acquired by the vehicle position acquisition unit, the driving status acquired by the driving status acquisition unit, and the date and time information in association with each other.

[0020] The condition acquisition unit 15 receives inputs from the user conditions for generating an anxiety map. As the conditions, for example, traffic situations that make the user feel uneasy (for example, narrow roads, right turns, highways, etc.) are specified.

[0021] The anxiety map data generation unit 16 refers to the anxiety occurrence information storage unit 14, extracts locations where the user or general drivers are likely to feel anxious on a map screen based on the conditions acquired by the condition acquisition unit 15 and the route to be navigated, generates anxiety map data for displaying an anxiety map (personal anxiety map or general anxiety map), and outputs it to the anxiety map display unit 17.

[0022] The anxiety map display unit 17 is configured as, for example, a display, and displays a personal anxiety map specific to the user or a general anxiety map that is considered to apply to a general driver based on the anxiety map data generated by the anxiety map data generation unit 16.

[0023] Next, the operation of the embodiment will be described. FIG. 3 is a process flowchart of an information accumulation process for accumulating anxiety occurrence information according to the embodiment. First, the anxiety state acquisition unit 11 of the anxiety map display device 10 starts the operation of acquiring anxiety state information indicating the anxiety state of the driver of the vehicle (step S11).

[0024] As a result, the anxiety occurrence information holding unit 14 determines whether or not an anxiety state has been acquired by the anxiety state acquiring unit 11 (step S12). In the determination at step S12, if the anxiety state has not yet been acquired (step S12; No), the process proceeds to step S11 and goes into a standby state.

[0025] If an anxiety state is acquired in the judgment of step S12 (step S12; Yes), the anxiety occurrence information storage unit 14 acquires anxiety occurrence position information, which is position information of the vehicle, from the vehicle position acquisition unit 12 (step S13). Furthermore, the anxiety occurrence information holding unit 14 acquires anxiety occurrence driving condition information, which is the driving condition of the vehicle, from the driving condition acquisition unit 13 (step S14).

[0026] Next, the anxiety occurrence information holding unit 14 stores the acquired anxiety occurrence position information and anxiety occurrence driving situation information as a pair, together with date and time information, as anxiety occurrence information (step S15). Then, the anxiety occurrence information holding unit 14 determines whether or not the timing for ending accumulation of the anxiety occurrence information, for example, the time for ending driving, has arrived (step S16).

[0027] In the determination at step S16, if it is not yet time to finish storing the anxiety occurrence information (step S16; No), the process returns to step S11, and the above-mentioned processes are executed. In the determination at step S16, if it is determined that the timing for ending accumulation of anxiety-time information has arrived (step S16; Yes), the anxiety-time information holding unit 14 ends the process.

[0028] Next, the operation when the anxiety map is displayed will be described. FIG. 4 is a processing flowchart (part 1) of the anxiety map display processing. In this case, before the anxiety map is displayed, the user inputs the conditions for the information to be displayed on the anxiety map.

[0029] It should be noted that the conditions for the information to be displayed on the anxiety map may be set to default display information conditions.

[0030] As a result, the condition acquisition unit 15 acquires the conditions (user input information or default information) for generating an anxiety map, and outputs them to the anxiety map data generation unit 16 (step S21).

[0031] The anxiety map data generation unit 16, which has received the conditions for generating an anxiety map, acquires multiple data (data groups) that match the conditions from the anxiety occurrence information stored in the anxiety occurrence information storage unit 14 (step S22).

[0032] Next, the anxiety map data generating unit 16 counts the number of anxiety occurrences for each anxiety occurrence position from the acquired data group (step S23). Then, the anxiety map data generating unit 16 outputs the generated anxiety map data to the anxiety map display unit 17 to cause the anxiety map display unit 17 to perform processing for displaying the anxiety map (step S24).

[0033] FIG. 5 is a process flowchart (part 2) for displaying an anxiety map. Based on the anxiety map data generated by the anxiety map data generation unit 16, the anxiety map display unit 17 superimposes an occurrence frequency image on the map image at the (display) position of the link or node corresponding to the anxiety occurrence location information using a frequency display method according to the number of anxiety occurrences (step S31). In this case, it is preferable to display the occurrence frequency image in a display color that does not increase anxiety. Specifically, display colors that do not promote anxiety are those that give an impression of calmness and relaxation and tend to activate the parasympathetic nervous system, for example, colors that use blue and green as the main colors.

[0034] FIG. 6 is a process flowchart (part 3) for displaying an anxiety map. The display process of the anxiety map in FIG. 6 differs from the display process of the anxiety map in FIG. 5 in that the user can select the display color for displaying the occurrence frequency image. First, the anxiety map display unit 17 determines whether or not a display for people with high anxiety characteristics is designated based on the anxiety map data generated by the anxiety map data generation unit 16 (step S41).

[0035] In the determination of step S41, if a display for people with high anxiety traits is designated (step S41; Yes), the anxiety map display unit 17 selects a display color set that does not increase anxiety (step S42).

[0036] Specifically, a display color set that does not promote anxiety is one that gives an impression of calmness and relaxation and is likely to activate the parasympathetic nervous system, for example, a display color set that uses blue and green as the main colors.

[0037] If it is determined in step S31 that a display for people with high anxiety traits has not been designated (step S41; No), the anxiety map display unit 17 selects a standard display color set (step S42). Specifically, it is a display color set that uses red and yellow as the main colors to draw more attention, as in the past.

[0038] Next, the anxiety map display unit 17 superimposes and displays on the map the link or node position corresponding to the anxiety occurrence position information in a frequency display method according to the number of anxiety occurrences (step S43).

[0039] FIG. 7 is an explanatory diagram of a display example in which an occurrence frequency image is superimposed on a map image. For ease of understanding, FIG. 7 shows not a road map image but nodes and links as map data corresponding to the road map image. In the example of FIG. 7, a case of moving from point A to point B is assumed.

[0040] Furthermore, on the map data, point A corresponds to node N001, and point B corresponds to node N004. Furthermore, the shortest route from point A to point B can be expressed as node N001 → link L001 → node N002 → link L002 → node N003 → link L003 → node N004.

[0041] In this case, the frequency of occurrence of anxiety is divided into three types: a first frequency of occurrence in which the frequency of occurrence of anxiety is relatively low, a second frequency of occurrence in which the frequency of occurrence of anxiety is higher than the first frequency of occurrence, and a third frequency of occurrence in which the frequency of occurrence of anxiety is relatively high.

[0042] First, a case where the frequency of occurrence of anxiety is superimposed on a map using a standard display color set will be described with reference to FIG. 7(A).

[0043] In the example of Figure 7(A), the route from node N001 to link L001 to node N002 to link L002 to node N003 to link L013 to node N013 is, for example, a narrow road section that may cause the user some anxiety, but is a route that corresponds to a first occurrence frequency that indicates a relatively low occurrence frequency of anxiety. Note that routes with an occurrence frequency of anxiety below a predetermined threshold are not superimposed.

[0044] In this way, on a route where the occurrence frequency of anxiety corresponds to the first occurrence frequency, in the standard display color set, for example, a yellow occurrence frequency image AR3 is superimposed on the map.

[0045] Furthermore, node N002 is a junction where the road of link L011 merges with the road of link L001, and the occurrence frequency of anxiety is the second occurrence frequency, which is higher than the first occurrence frequency. In this way, for a route where the occurrence frequency of anxiety corresponds to the second occurrence frequency, in the standard display color set, for example, a vermilion occurrence frequency image AR2 is superimposed on the map.

[0046] Furthermore, from the perspective of a vehicle traveling on the road of link L002, node N003 corresponds to an intersection where a change of direction onto link L003 requires a right turn, and the frequency of occurrence of anxiety is relatively high at third. In this way, on a route where the frequency of occurrence of anxiety corresponds to the third frequency, in the standard display color set, for example, a red occurrence frequency image AR1 is superimposed on the map, providing a display that calls for maximum attention.

[0047] As described above, according to the first embodiment, an anxiety map that reflects the characteristics and attributes of a specific user (driver) can be displayed and used, making it possible to drive with ease by using a user-specific anxiety map that takes into account the user's previous driving history.

[0048] [2] Second embodiment The first embodiment is an anxiety map display device adapted to a specific user, but the second embodiment is an anxiety map display system adapted to an unspecified number of users. FIG. 8 is a functional block diagram of the anxiety map display system of the second embodiment. The anxiety map display system 30 comprises information acquisition devices 31A, 31B, 31C, etc. mounted on a plurality of vehicles A, B, C, etc., respectively, a general anxiety map data storage server 32, a condition acquisition unit 33, a general anxiety map data acquisition unit 34, and a general anxiety map display unit 35.

[0049] In the above configuration, the condition acquisition unit 33, general anxiety map data acquisition unit 34 and general anxiety map display unit 35 can be installed in each of multiple vehicles A, B, C, etc., or placed in a predetermined location, or placed in multiple locations where it is desired to display the general anxiety map, but for ease of understanding, Figure 8 shows each unit individually.

[0050] Since the information acquisition devices 31A, 31B, 31C, . . . have the same configuration, the information acquisition device 31A will be described as an example. The information acquisition device 31A includes a driver characteristics / attributes acquisition unit 41, a driver characteristics / attributes storage unit 42, an anxiety state acquisition unit 43, a vehicle position acquisition unit 44, a driving condition acquisition unit 45, and an anxiety occurrence information storage unit 46.

[0051] In the above configuration, the driver characteristics and attribute acquisition unit 41 acquires in advance driver characteristics of the driver of the vehicle in which the information acquisition device 31A is installed, such as anxiety characteristics that indicate how easily the driver feels anxiety while driving, driving situations that the driver is not good at, and driving environments that the driver is not good at. Furthermore, the driver characteristics and attributes acquisition unit 41 acquires in advance the size, engine displacement, and type (standard car, light car, truck, etc.) of the vehicle in which the information acquisition device 31A is installed as attributes.

[0052] The driver characteristics and attributes storage unit 42 stores the driver characteristics and attributes acquired by the driver characteristics and attributes acquisition unit 41, and uploads (transfers) the stored driver characteristics and attributes to the general anxiety map data storage server 32 at a predetermined timing or based on a request from the general anxiety map data storage server 32.

[0053] The anxiety state acquisition unit 43 acquires anxiety state information indicating the anxiety state of the driver of the vehicle in which the device is installed. The anxiety state acquisition unit 43 acquires biological information such as the occupant's heart rate or electrodermal activity (EDA), and acquires the anxiety state based on the acquired biological information.

[0054] More specifically, the anxiety state acquisition unit 43 sequentially acquires information indicating the occupant's heart rate and information indicating the EDA from electrodes attached to the steering wheel, for example.

[0055] The occupant's heart rate and EDA can also be configured to be acquired from a wearable device, such as a smart watch, that is worn on the occupant's wrist, arm, or head.

[0056] The algorithm for acquiring the anxiety state is the same as that in the first embodiment.

[0057] In addition, as a method of acquiring an anxious state, in addition to automatically detecting it using biometric information (the example above), it is also possible to recognize a voice spoken by the driver user indicating that the driver is in an anxious state and recognize that the driver is in an anxious state, or to acquire a self-reported voice of anxiety by pressing a button.

[0058] The general anxiety map data storage server 32 acquires the driver characteristics and attributes of all the information acquisition devices 31A, 31B, 31C, ... that are under management, as well as anxiety occurrence information (anxiety occurrence location information and anxiety occurrence driving situation information) acquired from the information acquisition devices 31A, 31B, 31C, ..., and stores them in association with each other.

[0059] The condition acquisition unit 33 receives inputs from the user conditions for generating a general anxiety map. As the conditions, for example, traffic situations that general users are likely to feel uneasy about (for example, narrow roads, right turns, highways, etc.) are specified.

[0060] The general anxiety map data acquisition unit 34 queries the general anxiety map data storage server 32, and based on the conditions acquired by the condition acquisition unit 33 and the route to be navigated, acquires anxiety map data from the general anxiety map data storage server 32 for displaying a general anxiety map on the corresponding map screen for locations where general drivers are likely to feel anxious, and outputs the data to the general anxiety map display unit 35.

[0061] The general anxiety map display unit 35 is configured as, for example, a display, and displays a general anxiety map that is thought to apply to a general driver based on the general anxiety map data acquired by the general anxiety map data acquisition unit 34.

[0062] Next, the operation of the second embodiment will be described. First, the operation of the information acquisition devices 31A, 31B, 31C, . . . will be described. As described above, the information acquisition devices 31A, 31B, 31C, . . . have the same configuration, so the operation will be mainly explained using the information acquisition device 31A as an example.

[0063] FIG. 9 is a flowchart of the operation process when acquiring driver characteristics and attributes. The driver characteristic / attribute acquisition unit 41 of the information acquisition device 31A displays a driver characteristic / attribute input screen and acquires the driver characteristics and attributes from the corresponding driver (step S51). Driver characteristics include, for example, whether or not the driver is prone to anxiety, whether the driver is a beginner driver, driving situations that the driver is not good at (driving on narrow roads, turning right, driving on multiple lanes, merging, driving at high speeds, driving on roads that the driver has not driven on before), and driving environments that the driver is not good at (rainy weather, nighttime, etc.).

[0064] Attributes include the type of vehicle (light car, compact car, medium / large vehicle, bus, truck) and vehicle configuration (manual car, automatic car, right-hand drive, left-hand drive, etc.).

[0065] When the driver characteristics and attributes acquisition unit 41 of the information acquisition device 31A acquires the driver characteristics and attributes, it outputs them to the driver characteristics and attributes storage unit . As a result, the driver characteristic / attribute storage unit accumulates and stores the input driver characteristic and attribute as driver characteristic / attribute information (step S52).

[0066] FIG. 10 is a flowchart of the operation process when storing information. The anxiety state acquisition units 43 of the information acquisition devices 31A, 31B, 31C, . . . start an operation of acquiring anxiety state information indicating the anxiety state of the driver of the vehicle in which each of the information acquisition devices 31A, 31B, 31C, . . . is installed (step S61).

[0067] As a result, each anxiety occurrence information holding unit 46 determines whether or not an anxiety state has been acquired by the anxiety state acquiring unit 43 (step S62). In the determination at step S62, if the anxious state has not yet been acquired (step S62; No), the process proceeds to step S61 and goes into a standby state.

[0068] If it is determined in step S62 that an anxiety state has been acquired (step S62; Yes), the anxiety occurrence information storage unit 46 acquires anxiety occurrence position information, which is position information of the vehicle, from the vehicle position acquisition unit 44 (step S63). Furthermore, the anxiety occurrence information holding unit 46 acquires anxiety occurrence driving condition information, which is the driving condition of the vehicle, from the driving condition acquisition unit 45 (step S64).

[0069] Next, the anxiety occurrence information holding unit 46 stores the acquired anxiety occurrence position information and anxiety occurrence driving situation information as a pair, together with date and time information, as anxiety occurrence information (step S65). The anxiety occurrence information holding unit 46 then determines whether or not the timing for ending accumulation of anxiety occurrence information, for example, the time when driving ends, has arrived (step S66).

[0070] If it is determined in step S66 that the timing for completing accumulation of information at the time of anxiety occurrence has not yet been reached (step S66; No), the information acquisition device 31A, 31B, 31C, ... transitions the processing back to step S11, and thereafter executes the processing described above. If it is determined in step S66 that it is time to end the accumulation of the anxiety occurrence information (step S66; Yes), the anxiety occurrence information holding unit 46 ends the information accumulation process.

[0071] FIG. 11 is a process flowchart of the transmission process of the stored information. Next, when the information accumulation process is completed, the anxiety occurrence information storage unit 46 transmits the accumulated anxiety occurrence information and the driver characteristic and attribute information stored in the driver characteristic attribute storage unit 42 to the general anxiety map data accumulation server 32 (step S71).

[0072] Next, the operation when the general anxiety map is displayed will be described. FIG. 12 is an explanatory diagram of a display processing sequence of a general anxiety map. In this case, a user who wishes to display an anxiety map is to input the conditions for the information they wish to display on the general anxiety map via the condition acquisition unit 33 installed in their own vehicle or via the condition acquisition unit 33 located at a predetermined location.

[0073] It is also possible to use default display information conditions as conditions for the information to be displayed on the general anxiety map.

[0074] As a result, the condition acquisition unit 33 acquires the conditions (user input information or default information) for generating the general anxiety map, and outputs them to the general anxiety map data acquisition unit 34 (step S81). As a result, the general anxiety map data acquisition unit 34 transmits the conditions for generating a general anxiety map to the general anxiety map data accumulation server 32 (step S82).

[0075] As a result, the general anxiety map data accumulation server 32 receives the conditions for generating a general anxiety map (step S83). Then, the general anxiety map data storage server 32 extracts a data group that meets the conditions from the data stored in the general anxiety map data storage server 32, and transmits the data group to the general anxiety map data acquisition unit 34 (step S84).

[0076] The general anxiety map data acquisition unit 34 receives and acquires a data group that meets the conditions from the general anxiety map data storage server 32 (step S85). Then, the general anxiety map data acquisition unit 34 counts the number of anxiety occurrences for each anxiety occurrence position from the acquired data group (step S86).

[0077] Here, the anxiety occurrence location is a location corresponding to a link or node that constitutes the map data, and in actual processing, it is processed as information that identifies the link or node.

[0078] Then, the general anxiety map data acquisition unit 34 generates general anxiety map display data and outputs it to the general anxiety map display unit 35 so as to superimpose it on the map using a frequency display method according to the number of anxiety occurrences counted at the position of the link or node corresponding to the anxiety occurrence location, as in the case shown in Figure 5 or Figure 6.

[0079] As a result, the general anxiety map display unit 35 performs processing to display the general anxiety map in the same manner as in the case shown in FIG. 7 (step S87).

[0080] As described above, according to the second embodiment, it is possible to display and use an average anxiety map of a general user that reflects the characteristics and attributes of an unspecified number of users (drivers). Therefore, a user who uses the general anxiety map can drive with ease even on a road that he or she has never driven on before.

[0081] In the above explanation, the general anxiety map data acquisition unit 34 receives and acquires a group of data that meets the conditions from the general anxiety map data storage server 32, and counts the number of anxiety occurrences for each anxiety occurrence location from the acquired data group, but it is also possible to configure the general anxiety map data storage server 32 to have a similar function.

[0082] FIG. 13 is an explanatory diagram of a modified example of the display processing sequence of the general anxiety map. Even in this case, a user who wishes to display an anxiety map is required to input the conditions for the information they wish to display on the general anxiety map via the condition acquisition unit 33 installed in their own vehicle or via the condition acquisition unit 33 located at a predetermined location.

[0083] The condition acquisition unit 33 acquires conditions (user input information or default information) for generating a general anxiety map, and outputs them to the general anxiety map data acquisition unit 34 (step S91). Then, the general anxiety map data acquisition unit 34 transmits the conditions for generating the general anxiety map to the general anxiety map data accumulation server 32 (step S92).

[0084] As a result, the general anxiety map data accumulation server 32 receives the conditions for generating a general anxiety map (step S93).

[0085] Then, the general anxiety map data storage server 32 extracts a data group that matches the conditions from the data stored in the general anxiety map data storage server 32. Then, the general anxiety map data storage server 32 counts the number of anxiety occurrences for each anxiety occurrence position from the extracted data group (step S94).

[0086] Next, the general anxiety map data storage server 32 transmits data associating the number of anxiety occurrences with each anxiety occurrence location to the general anxiety map data acquisition unit 34 so that the data is superimposed on the map using a frequency display method according to the number of anxiety occurrences counted at the link or node position corresponding to the anxiety occurrence location, as in the case shown in Figure 5 or Figure 6 (step S95).

[0087] The general anxiety map data acquisition unit 34 receives and acquires data in which the number of anxiety occurrences is associated with each anxiety occurrence location, and generates general anxiety map display data and outputs it to the general anxiety map display unit 35 to superimpose and display on the map using a frequency display method according to the number of anxiety occurrences counted at the link or node position corresponding to the anxiety occurrence location, as in the case shown in Figure 5 or Figure 6 (step S96).

[0088] As a result, the general anxiety map display unit 35 performs processing to display the general anxiety map in the same manner as in the case shown in FIG. 7 (step S97). As explained above, this modified example also makes it possible to display and use an average anxiety map of a general user that reflects the characteristics and attributes of an unspecified number of users (drivers), and users who use the general anxiety map can drive with ease even on roads they are driving on for the first time.

[0089] [3] Third embodiment In each of the above embodiments, it has been explained that the acquired anxiety-causing location information and corresponding anxiety-causing driving situation information are all correct information and are all stored, but in reality, the acquired anxiety-causing location information and corresponding anxiety-causing driving situation information may be obtained as noise and may not be useful. Therefore, in this third embodiment, by identifying and removing unhelpful anxiety-generating location information and corresponding anxiety-generating driving situation information, it is possible to display an anxiety map that is more in line with reality.

[0090] FIG. 14 is a process flowchart of information accumulation processing for accumulating anxiety occurrence information according to the third embodiment. In the following, the anxiety map display device will be described using the anxiety map display device 10 of the first embodiment shown in FIG. 1 as an example of the anxiety map display device, but the same applies to the information acquisition devices 31A, 31B, 31C, . . .

[0091] First, the anxiety state acquisition unit 11 of the anxiety map display device 10 starts an operation of acquiring anxiety state information indicating the anxiety state of the driver of the vehicle (step S101).

[0092] As a result, the anxiety occurrence information holding unit 14 determines whether or not an anxiety state has been acquired by the anxiety state acquiring unit 11 (step S102). In the determination at step S102, if the anxiety state has not yet been acquired (step S102; No), the process proceeds to step S101 and goes into a standby state.

[0093] If it is determined in step S102 that an anxiety state has been acquired (step S102; Yes), the anxiety occurrence information storage unit 14 acquires anxiety occurrence position information, which is position information of the vehicle, from the vehicle position acquisition unit 12 (step S103).

[0094] Next, the anxiety occurrence information holding unit 14 acquires the travel start position of the vehicle in which it is installed, the travel destination position, the elapsed time since the engine started to be driven (engine on), and the estimated arrival time (step S104).

[0095] In this case, the vehicle's starting position, destination position, and estimated arrival time are acquired via communication from the onboard navigation system or a navigation application on an information processing device such as the user's smartphone. Similarly, the vehicle's running position is acquired via communication from the onboard navigation system or a navigation application on an information processing device such as the user's smartphone. Furthermore, the engine start time is acquired from the onboard ECU, etc.

[0096] Next, the anxiety occurrence information storage unit 14 determines whether the vehicle is traveling within a certain distance from the travel start position or within a certain time period from the start of engine driving (step S105). This is because, during a predetermined period immediately after starting driving, the driver is generally likely to be highly tense, it is thought to be difficult to obtain a stable state of anxiety, and there is a tendency for the driver to become more anxious even under the same driving conditions. Therefore, anxiety-generating location information and anxiety-generating driving condition information obtained under such conditions are thought to be unreliable.

[0097] If it is determined in step S105 that the vehicle is traveling within a certain distance from the starting position of the traveling or within a certain time from the start of the engine running (step S105; Yes), the anxiety occurrence information storage unit 14 will transition the processing back to step S101 so as not to acquire anxiety occurrence position information and anxiety occurrence traveling situation information, and will repeat the above-mentioned processing.

[0098] In the judgment of step S105, if the vehicle has traveled a certain distance from the starting position or a certain time has passed since the engine started (step S105; No), the anxiety occurrence information storage unit 14 judges whether the vehicle's traveling position is within a certain distance from the destination position or within a certain time from the scheduled arrival time (step S106).

[0099] This is because the predetermined period immediately before arriving at the destination is different from the normal driving conditions along the route, and the driver's level of tension may increase again, making it difficult to achieve a stable state of anxiety. Therefore, the anxiety-generating location information and anxiety-generating driving situation information acquired under such circumstances are also considered to be unreliable.

[0100] If it is determined in step S106 that the vehicle's driving position is within a certain distance from the destination position or within a certain time from the scheduled arrival time (step S106; Yes), the anxiety occurrence information storage unit 14 will transition the processing back to step S101 so as not to acquire anxiety occurrence position information and anxiety occurrence driving situation information, and will repeat the above-mentioned processing.

[0101] In the judgment of step S106, if the vehicle's driving position exceeds a certain distance from the destination position or exceeds a certain time until the scheduled arrival time (step S106; No), the anxiety occurrence information storage unit 14 acquires anxiety occurrence driving condition information, which is the driving condition of the vehicle, from the driving condition acquisition unit 13 (step S107).

[0102] Next, the anxiety occurrence information holding unit 14 stores the acquired anxiety occurrence position information and anxiety occurrence driving situation information as a pair, together with date and time information, as anxiety occurrence information (step S108). Then, the anxiety occurrence information holding unit 14 determines whether or not the timing for ending accumulation of the anxiety occurrence information, for example, the time for ending driving, has arrived (step S109).

[0103] In the determination at step S109, if it is not yet time to finish storing the anxiety occurrence information (step S109; No), the process returns to step S101, and the above-described process is executed thereafter. In the determination at step S109, if it is determined that the timing for ending accumulation of anxiety-time information has arrived (step S109; Yes), the anxiety-time information holding unit 14 ends the process.

[0104] In the above embodiments, the anxiety occurrence information has not been described in detail, so here, the anxiety occurrence information data that stores the anxiety occurrence information will be described. In the following example, information data at the time of anxiety occurrence when an anxiety state is detected at a specific node will be described.

[0105] In the following description, the anxiety map display device 10 of the first embodiment shown in FIG. 1 will be used as an example of the anxiety map display device, but the same applies to the information acquisition devices 31A, 31B, 31C, . . .

[0106] FIG. 15 is a diagram illustrating an example of anxiety occurrence information data. The anxiety occurrence information data DT1 includes anxiety state detection start position data D1, anxiety state detection end position data D2, anxiety state detection section link list index data D3, anxiety state detection point node ID data D4, anxiety state detection start time data D5, and anxiety state detection end time data D6.

[0107] The anxiety state detection start position data D1 stores the position where the anxiety state acquisition unit 11 starts detecting a series of anxiety states as latitude data and longitude data. The anxiety state detection end position data D2 stores the position where the anxiety state acquisition unit 11 ended detection of a series of anxiety states as latitude data and longitude data.

[0108] The anxiety state detection section link list index data D3 stores link ID1 to link IDn as link ID data D31 to D3n, which are data for identifying links in map data corresponding to the anxiety state detection start position corresponding to the anxiety state occurrence information data DT1 and the anxiety state detection end position corresponding to the anxiety state detection end position data D2.

[0109] FIG. 16 is an explanatory diagram of the anxiety state section link list. In the example of FIG. 16, node N0001 is the starting point of the journey, and node N004 is the destination point.

[0110] Therefore, in the example of FIG. 16, the anxiety state detection section link list index data D3 stores link ID data D31 to D33 for identifying the link L001, the link L002, and the link L003.

[0111] The actual start of detection of the anxiety state is the position of the star corresponding to link L001, where the driver's state transitions to a normal state and it is thought that reliable detection of the anxiety state is possible, and the actual end of detection of the anxiety state is the position of the star corresponding to link L004, where the driver's state transitions again to a tense state and it is thought that reliable detection of the anxiety state becomes difficult.

[0112] The anxiety state detection point node ID data D4 stores data for identifying a node corresponding to an anxiety state detection point where anxiety data is actually detected. For example, if the anxiety state detection point where anxiety data was actually detected is node N003 corresponding to an intersection where a right turn is made, data specifying node N003 is stored in the anxiety state detection point node ID data D4.

[0113] In this example, the anxiety state was detected at a point corresponding to a node, but if the anxiety state is detected at a point corresponding to a link while driving on a narrow road or a highway, the anxiety state detection point link ID data or an index to the link ID list can be stored instead of the anxiety state detection point node ID data D4.

[0114] The anxiety state detection start time data D5 stores data for specifying the time when the anxiety state detection started. The anxiety state detection end time data D6 stores data for specifying the time when the detection of an anxiety state that has been continuously detected since the detection of an anxiety state started has ended.

[0115] Therefore, by collecting the anxiety occurrence information data DT1, it is possible to easily display an anxiety map.

[0116] Next, the conditions that the user inputs to display the anxiety map will be described in detail. FIG. 17 is an explanatory diagram of the data format of the condition data output by the condition data acquisition unit.

[0117] The conditions inputted in the condition acquisition unit 15 are outputted as condition data DT10 to the anxiety map data generation unit 16. The conditions inputted in the condition acquisition unit 33 are outputted to the general anxiety map data acquisition unit .

[0118] In this case, the condition data DT10 includes, for example, driving scene data D11, driving environment (speed) data D12, driving environment (time of day) data D13, driving environment (weather) data D14, and first driving road data D15. The driving scene data D11 is set to the driving scene you want to display on the anxiety map. For example, the following data values ​​are set: narrow road = 1, right turn = 2, lane change = 3, merging = 4, parking = 5, and others = 0.

[0119] The driving environment (speed) data D12 is set to information related to the vehicle speed as the driving environment to be displayed on the anxiety map. For example, the data value is set as follows: highway (road) driving = 1, other (general road) = 1.

[0120] The driving environment (time period) data D13 is set to information about the time period as the driving environment to be displayed on the anxiety map. For example, the data value is set as 1 for nighttime and 0 for other times. As the driving environment (weather) data D14, information about the weather is set as the driving environment to be displayed on the anxiety map. For example, rainy weather=1, other=0 are set as data values.

[0121] The first traveled road data D15 is set to information indicating whether or not the road is the first time the vehicle has traveled on it. For example, the data value is set as follows: first traveled (road) = 1, other = 0.

[0122] Next, an example of a condition acquisition screen in the condition data acquisition unit will be described. FIG. 18 is an explanatory diagram of an example of a condition acquisition screen when displaying a general anxiety map. The condition acquisition screen G1 is for displaying a general anxiety map. On the condition acquisition screen G1, the target person, driving scene, (driving) environment, vehicle size type, and display range are specified to identify the data required to display the general anxiety map.

[0123] In the example of FIG. 18, only people who have characteristics and attributes similar to the characteristics and attributes of the user themselves are set as defaults (values). It is also possible to specify characteristics. In the example of Fig. 18, it is possible to select people with high anxiety characteristics, beginners, and people with similar driving histories. It is also possible to set everyone as the target.

[0124] In the example of FIG. 18, the driving scene that the user is not good at is set as the default (value). In addition, it is possible to specify the driving scene. In the example of Figure 18, it is possible to select narrow roads, right turns, negative lane numbers, merging, highway driving, parking lots, and roads that you are driving on for the first time. It is also possible to set all driving scenes.

[0125] In the example of FIG. 18, the size type of the vehicle is set as the default (value) to be the same as that of the user's own vehicle. It is also possible to specify the size of the vehicle. In the example of Figure 18, it is possible to select light cars, small cars, medium and large cars, buses and trucks. It is also possible to set the size type of all vehicles. In the above embodiments, the anxiety occurrence position information and the anxiety occurrence driving situation information are not described in detail, and therefore are stored in the anxiety occurrence information storage unit 14.

[0126] Here, the setting of the characteristics and attributes of the person will be explained. FIG. 19 is an explanatory diagram of the screen for setting the characteristics and attributes of the person. The screen G2 for setting the characteristics and attributes of the individual allows the user to specify anxiety characteristics (how easily the driver becomes anxious when driving), difficult driving situations (driv- ing situations that the driver is not good at), difficult driving environments, and vehicle size types.

[0127] In the case of FIG. 19, the anxiety characteristic (ease of becoming anxious while driving) can be determined by answering a question or automatically from past driving records.

[0128] When selecting an answer to a question, the user can select one or more of the following as reasons for their anxiety: anxiety tendency, driving history, driving ability, or driving ability, or select one or more from the STAI questionnaire. Here, the STAI questionnaire is a questionnaire for an anxiety measurement test, and selecting this means that the answer is based on the results of the anxiety measurement test.

[0129] If automatic determination based on past driving is selected, the anxiety characteristic is estimated by comparing the frequency with which an anxiety state was detected in the user's past driving with a predetermined reference value.

[0130] In the example of FIG. 19, one or more of the following can be selected as difficult scenes: narrow roads, right turns, lane changes, merging, driving on expressways (roads), parking, and roads that are being driven for the first time. In the example of FIG. 19, rainy weather or nighttime can be selected as the poor driving environment. In the case of FIG. 19, the vehicle size can be selected from light vehicles, small vehicles, medium and large vehicles, or buses and trucks.

[0131] Next, a method for deriving the anxiety characteristics of a user will be described. FIG. 20 is an explanatory diagram of a method for deriving a user's anxiety characteristics from the user's answer to a question. In FIG. 20, for ease of understanding, only a minimum number of questions are shown, but the present invention is not limited to this.

[0132] As shown in Figure 20(A), the questions are as follows: (1) Anxiety tendency (subjective) (2) Driving history (3) Poor driving skills (subjective) There are three types of questions that can be asked, but (1) anxiety tendency (subjective) is considered to be the minimum question that should be asked.

[0133] More specifically, for (1) anxiety tendency (subjective), for example, in response to the question "Do you tend to feel anxious while driving?", the possible answers are "always anxious," "often anxious," "sometimes anxious," and "almost never anxious," resulting in the following anxiety trait values: In the following explanation, the higher the anxiety trait value, the higher the anxiety trait. Always feel anxious: 3 points Often feel anxious: 1 point · Sometimes anxious / almost never anxious: 0 points

[0134] In addition, for (2) driving history, the following answers can be selected, resulting in the following anxiety characteristic values ​​(additions). Less than 1 year: +2 points Less than 3 years: +1 point ·3 years or more: +0 points

[0135] Furthermore, for (3) poor driving skills, the following answers can be selected, resulting in the following anxiety trait values ​​(additions): ·Unsuitable: +2 points · Rather weak: +1 point Neither / Somewhat good / Good: +0 points

[0136] FIG. 20(B) is a diagram illustrating the correspondence between the anxiety trait value and the anxiety trait determination result. As shown in Figure 20(B), (1) when only anxiety tendency (subjective) is used for the judgment, if the anxiety characteristic value is 3 points, the anxiety characteristic is judged to be high, if the anxiety characteristic value is 1 point, the anxiety characteristic is judged to be medium, and if the anxiety characteristic value is 0 point, the anxiety characteristic is judged to be low.

[0137] Furthermore, as shown in Figure 20(B), when (1) anxiety tendency (subjective) and (2) driving history are used for the judgment, if the anxiety characteristic value is 4 to 5 points, the anxiety characteristic is judged to be high, if the anxiety characteristic value is 2 to 3 points, the anxiety characteristic is judged to be medium, and if the anxiety characteristic value is 0 to 1 point, the anxiety characteristic is judged to be low. Furthermore, as shown in Figure 20(B), when (1) anxiety tendency (subjective), (2) driving experience, and (3) poor driving ability (subjective) are used for the judgment, if the anxiety characteristic value is 6 to 7 points, the anxiety characteristic is judged to be high, if the anxiety characteristic value is 3 to 5 points, the anxiety characteristic is judged to be medium, and if the anxiety characteristic value is 0 to 2 points, the anxiety characteristic is judged to be low.

[0138] As described above, according to the third embodiment, it is possible to collect more reliable anxiety-generating location information and anxiety-generating driving situation information, and ultimately to display a more reliable anxiety display map.

[0139] [4] Fourth embodiment While the above embodiments relate to an anxiety map display device or an anxiety map display system, the fourth embodiment relates to an anxiety feature quantity display device that more accurately displays anxiety feature quantities to a user.

[0140] FIG. 21 is a functional block diagram of the anxiety feature presentation device. The anxiety feature presentation device 50 includes an anxiety state acquisition unit 51, a driving situation acquisition unit 52, an anxiety feature calculation unit 53, and an anxiety feature presentation unit 54.

[0141] The anxiety state acquisition unit 51 acquires anxiety state information indicating the anxiety state of the driver of the vehicle. The anxiety state acquisition unit 51 acquires biological information such as the occupant's heart rate or electrodermal activity (EDA), and acquires the anxiety state based on the acquired biological information.

[0142] The driving condition acquisition unit 52 acquires the driving conditions of the vehicle based on the route search result, the map matching result, etc. Here, as in the first embodiment, the driving conditions include the width of the road on which the vehicle is traveling, the lane, the type of road (a motorway including an expressway or a general road), right turns, lane changes, merging, parking, congestion information provided by a traffic control system, night driving acquired from time information, driving in the rain detected by wiper operation or a sensor, and other driving conditions that may cause anxiety. However, the driving conditions are not limited to these.

[0143] The anxiety feature calculation unit 53 calculates the anxiety feature amount for each predetermined counting unit. Here, the specified counting units are driving situations, driving environments, driving situations that are generally considered less likely to cause anxiety, whether or not there are passengers, the first road driven, a specified period immediately after starting driving, etc., and the number of times anxiety occurred is counted for each counting unit, and the anxiety occurrence ratio for each counting unit is calculated.

[0144] The anxiety characteristic presentation unit 54 presents the anxiety characteristic obtained based on the calculation result of the anxiety characteristic calculation unit 53 to the user.

[0145] FIG. 22 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each driving scene. As shown in Figure 22, the anxiety feature calculation result R1 is calculated by calculating the anxiety occurrence frequency ratio (B / A%) based on the (number of) relevant locations A that correspond to a specific driving scene (narrow road, right turn, lane change, merging, parking), which is a specific aggregation unit, and the number of times B that the driver experienced anxiety at the relevant locations.

[0146] In the example of Figure 22, the anxiety feature calculation result R1 shows an anxiety feature calculation result R11 for narrow roads, an anxiety feature calculation result R12 for right turns, an anxiety feature calculation result R13 for lane changes, an anxiety feature calculation result R14 for merging, and an anxiety feature calculation result R15 for parking.

[0147] For example, the anxiety feature calculation result R12 for right turns had five relevant locations, and the number of times the driver's anxious state was detected, i.e., the number of anxiety occurrences, was one, indicating that the anxiety occurrence ratio was 20%.

[0148] FIG. 23 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each driving environment. As shown in Figure 23, the anxiety feature calculation result R2 is calculated by calculating the anxiety occurrence time ratio (D / C%) based on the relevant time C corresponding to a specific driving environment (highway (road) driving, night driving, driving in the rain) which is a specific aggregation unit, and the driver's cumulative anxiety occurrence time D under the relevant conditions.

[0149] In the example of Figure 23, the anxiety feature calculation result R2 shows an anxiety feature calculation result R21 for highway (road) driving, an anxiety feature calculation result R22 for night driving, and an anxiety feature calculation result R23 for rainy weather driving.

[0150] For example, the anxiety feature calculation result R22 for night driving indicates that the relevant driving time was 30 minutes, and the time during which the driver's anxious state was detected, i.e., the cumulative anxiety occurrence time, was 10 minutes, so the anxiety occurrence time ratio was 33%.

[0151] FIG. 24 is a diagram illustrating an example of the calculation result of anxiety feature amounts for each driving scene that is generally considered unlikely to cause anxiety. As shown in Figure 24, the anxiety feature calculation result R3 is calculated as the anxiety occurrence time ratio (B / C times / min) based on the relevant time C corresponding to a driving scene that is generally considered unlikely to cause anxiety, which is a predetermined aggregation unit, and the number of times B the driver experienced anxiety under the relevant conditions.

[0152] In the example of FIG. 24, the anxiety feature calculation result R3 shows an anxiety feature calculation result R31 for a driving scene that is generally considered unlikely to cause anxiety. The anxiety feature calculation result R31 indicates that the driving time for the driving scene, which is generally considered unlikely to cause anxiety, was 20 minutes, and the number of times the driver's anxious state was detected, i.e., the number of anxiety occurrences, was 1, so the anxiety occurrence time ratio was 0.05 times / min.

[0153] FIG. 25 is a diagram illustrating an example of calculation results of anxiety feature amounts for each presence or absence of a passenger. As shown in Figure 25, the anxiety feature calculation result R4 calculates the anxiety occurrence time ratio (D / C%) based on the relevant time C corresponding to the presence or absence of a passenger, which is a predetermined aggregation unit (the presence of an unregistered passenger, the presence of a registered passenger, or the absence of a passenger), and the cumulative time D during which the driver experienced anxiety under the relevant conditions.

[0154] In the above configuration, the reason for distinguishing between unregistered passengers and registered passengers is that registered passengers are family members, friends, acquaintances, etc., and are likely to cause less tension and anxiety for the driver, even though they are passengers. On the other hand, unregistered passengers are likely to be temporary passengers who do not normally use the vehicle, and are likely to increase the driver's tension and anxiety.

[0155] In the example of Figure 25, the anxiety feature calculation result R4 shows an anxiety feature calculation result R41 when there is an unregistered passenger, an anxiety feature calculation result R42 when there is a registered passenger, and an anxiety feature calculation result R43 when there is no passenger. For example, the anxiety feature calculation result R42 when there is a registered passenger indicates that the relevant driving time is 40 minutes, and the time during which the driver's anxious state was detected, i.e., the cumulative anxiety occurrence time, was 4 minutes, so the anxiety occurrence time ratio was 10%.

[0156] FIG. 26 is a diagram illustrating an example of the calculation result of the anxiety feature amount for each first-time road. As shown in Figure 26, the anxiety feature calculation result R5 calculates the corresponding time C corresponding to the driving time on a road that is being driven for the first time, the number of times anxiety occurred B, the time ratio of the number of times anxiety occurred, the cumulative time of anxiety occurrence D, and the anxiety occurrence time ratio (D / C%).

[0157] In the example of FIG. 26, the anxiety feature calculation result R5 shows an anxiety feature calculation result R51 for a road that has never been traveled before. For the anxiety feature calculation result R51, the relevant driving time C was 100 minutes, the number of times B that the driver's state of anxiety was detected was 15 times, so the anxiety occurrence count time ratio (B / C) was 0.15 times / min, and the time that the driver's state of anxiety was detected, i.e., the cumulative anxiety occurrence time D, was 20 minutes, so the anxiety occurrence time ratio (D / C) was 20%.

[0158] FIG. 27 is a diagram illustrating an example of calculation results of anxiety feature amounts for each predetermined period immediately after starting driving. As shown in FIG. 27, the anxiety feature amount calculation result R6 is calculated as an anxiety occurrence time ratio (D / E%) for a predetermined period E (for example, 5 minutes) immediately after starting driving.

[0159] In the example of FIG. 27, the anxiety feature calculation result R6 shows the anxiety feature calculation result R51 for the predetermined period E immediately after starting driving. Regarding the anxiety feature calculation result R61, in the case of the predetermined period E = 5 minutes immediately after starting driving, the time during which the driver's anxious state was detected, i.e., the cumulative anxiety occurrence time D, was 3 minutes, and therefore the anxiety occurrence time ratio (D / E) was 60%.

[0160] Next, the operation of the fourth embodiment will be described. FIG. 28 is a processing flowchart of the calculation process of the anxiety feature amount for each driving scene. In this case, each driving scene (in the following description, five scenes: narrow road, right turn, lane change, merging, and parking) is provided with a corresponding counter (driving scene detection count counter A and anxiety occurrence count counter B).

[0161] Prior to the calculation process of the anxiety feature amount for each driving scene, the anxiety feature calculation unit 53 resets the counters (driving scene detection count counter A and anxiety occurrence count counter B) corresponding to each of all driving scenes.

[0162] First, the anxiety characteristic calculation unit 53 determines the current driving scene based on the driving conditions acquired by the driving condition acquisition unit 52 (step S121). Next, the anxiety characteristic calculation unit 53 determines whether the determined driving scene is included in any one of a narrow road, a right turn, a lane change, a merging road, and parking (step S122).

[0163] If it is determined in step S122 that the current driving scene does not include any of a narrow road, a right turn, a lane change, a merging, and parking (step S122; No), the process returns to step S121 and enters a standby state. In the determination of step S122, if the current driving scene is included in any of narrow roads, right turns, lane changes, merging, and parking (step S122; Yes), the driving scene detection number counter A corresponding to the relevant driving scene is counted up by one (+1) (step S123).

[0164] Next, the anxiety state acquisition unit 51 acquires the anxiety state of the driver (step S124). As a result, the anxiety characteristic calculation unit 53 determines whether or not the driver is in an anxiety state based on the result acquired by the anxiety state acquisition unit 51 (step S125). In step S125, if the driver is not in an anxious state (step S125; No), the process proceeds to step S127.

[0165] In step S125, if the driver is in an anxious state (step S125; Yes), the anxiety occurrence counter B corresponding to the relevant driving scene is counted up by one (+1) (step S126).

[0166] Next, the anxiety feature calculation unit 53 determines whether or not the timing for ending accumulation of the anxiety feature amount for each driving scene, for example, the time for ending driving, has arrived (step S127).

[0167] If it is determined in step S127 that the timing for ending accumulation of anxiety occurrence information has not yet been reached (step S127; No), the anxiety characteristic calculation unit 53 transitions the processing back to step S121, and thereafter executes the above-described processing. If it is determined in step S127 that the timing for ending accumulation of anxiety feature amounts for each driving scene has been reached (step S127; Yes), the anxiety feature calculation unit 53 calculates the anxiety occurrence count ratio (= number of anxiety occurrences / number of driving scene detections) as an index (step S128) and terminates the processing.

[0168] As explained above, it is possible to calculate the anxiety feature amount for each driving scene, and based on this, it is possible to provide appropriate driving advice or appropriate advice as will be described later.

[0169] FIG. 29 is a processing flowchart of the calculation process of the anxiety feature amount for each driving environment. In this case, each driving environment (in the following description, three environments: highway (road) driving, night driving, and rainy weather driving) is provided with a corresponding counter (driving environment cumulative time counter and anxiety occurrence cumulative time counter).

[0170] Prior to the calculation process of the anxiety feature amount for each driving scene, the anxiety feature calculation unit 53 resets the counters (driving environment cumulative time counters and anxiety occurrence cumulative time counters) corresponding to all driving scenes.

[0171] First, the anxiety characteristic calculation unit 53 determines the current driving environment based on the driving conditions acquired by the driving condition acquisition unit 52 (step S131). Next, the anxiety characteristic calculation unit 53 determines whether the determined driving environment is included in any one of highway (road) driving, night driving, and rainy weather driving (step S132).

[0172] If it is determined in step S132 that the current driving environment is not highway (road) driving, night driving, or rainy weather driving (step S132; No), the process waits for a certain period of time (for example, one minute) and then returns to step S131. In the determination of step S132, if the current driving environment is included in any of highway (road) driving, night driving, and rainy weather driving (step S132; Yes), the driving environment cumulative time counter C corresponding to the relevant driving environment is counted up by one minute (step S133).

[0173] Next, the anxiety state acquisition unit 51 acquires the anxiety state of the driver (step S134). As a result, the anxiety characteristic calculation unit 53 determines whether or not the driver is in an anxiety state based on the result acquired by the anxiety state acquisition unit 51 (step S135). In step S125, if the driver is not in an anxious state (step S135; No), the process proceeds to step S137.

[0174] In step S135, if the driver is in an anxious state (step S135; Yes), the anxiety occurrence cumulative time counter D corresponding to the relevant driving scene is counted up by one minute (step S136).

[0175] Next, the anxiety feature calculation unit 53 determines whether or not the timing for ending accumulation of the anxiety feature amount for each driving environment, for example, the time for ending driving, has arrived (step S137).

[0176] If it is determined in step S137 that the timing for ending accumulation of anxiety occurrence information has not yet been reached (step S137; No), the anxiety characteristic calculation unit 53 transitions the processing back to step S131, and thereafter executes the above-described processing.

[0177] If it is determined in step S137 that the time has come to end the accumulation of anxiety feature amounts for each driving scene (step S137; Yes), the anxiety feature calculation unit 53 calculates the anxiety occurrence time ratio (= number of anxiety occurrences / cumulative anxiety occurrence time) as an index (step S128) and terminates the processing.

[0178] As explained above, it is possible to calculate the anxiety feature amount for each driving environment, and based on this, it is possible to provide appropriate driving advice or appropriate advice as will be described later.

[0179] FIG. 30 is a process flowchart showing a process for calculating anxiety feature amounts for each driving scene that is generally unlikely to cause anxiety. In this case, for each driving scene that is generally unlikely to cause anxiety (for example, a situation where there is one lane going in the same direction, the driving speed is 40 to 60 km, and it is daytime and not raining), a corresponding counter (a driving scene cumulative time counter C and an anxiety occurrence count counter B) is provided.

[0180] Prior to the calculation process of the anxiety feature amount for each driving scene that is generally unlikely to cause anxiety, the anxiety feature calculation unit 53 resets counters (driving scene cumulative time counter C and anxiety occurrence count counter B) corresponding to each of all driving scenes that are generally unlikely to cause anxiety.

[0181] First, the anxiety characteristic calculation unit 53 determines the current driving scene and driving environment based on the driving conditions acquired by the driving condition acquisition unit 52 (step S151). Next, the anxiety characteristic calculation unit 53 determines whether or not the determined driving scene and driving environment are included in driving scenes that are generally unlikely to cause anxiety (step S152).

[0182] If it is determined in step S152 that the current driving scene and driving environment are not included in driving scenes that are generally unlikely to cause anxiety (step S152; No), the process waits for a certain period of time (e.g., 1 minute) (step S159), and then the process returns to step S151.

[0183] In the judgment of step S152, if the current driving scene and driving environment are included in driving scenes that are generally unlikely to cause anxiety (step S152; Yes), the driving scene cumulative time counter C corresponding to the relevant driving scene is counted up by one minute (step S153).

[0184] Next, the anxiety state acquisition unit 51 acquires the anxiety state of the driver (step S154). As a result, the anxiety characteristic calculation unit 53 determines whether or not the driver is in an anxiety state based on the result acquired by the anxiety state acquisition unit 51 (step S155). In step S125, if the driver is not in an anxious state (step S125; No), the process proceeds to step S127.

[0185] In step S125, if the driver is in an anxious state (step S125; Yes), the anxiety occurrence counter B corresponding to the relevant driving scene is counted up by one (+1) (step S156).

[0186] Next, the anxiety feature calculation unit 53 determines whether or not the timing for ending accumulation of the anxiety feature amount, for example, the time for ending driving, has arrived (step S157).

[0187] In the judgment of step S157, if it is not yet time to finish accumulating the anxiety feature amount (step S157; No), the anxiety feature calculation unit 53 shifts the processing back to step S151, and thereafter executes the above-mentioned processing. If it is determined in step S157 that the accumulation of anxiety features has ended (step S157; Yes), the anxiety feature calculation unit 53 calculates the anxiety occurrence count time ratio (= cumulative driving scene time / number of anxiety occurrences) as an index (step S158) and ends the processing.

[0188] As explained above, it is possible to calculate anxiety features even in driving situations that are generally unlikely to cause anxiety, and based on this, it is possible to provide appropriate driving or appropriate advice as will be described later.

[0189] FIG. 31 is a process flowchart of the calculation process of the anxiety feature amount on a road that the vehicle is traveling on for the first time. In this case, it is assumed that there are provided counters corresponding to each first-time road section (counter B for the number of times anxiety occurs, counter C for the driving time for each first-time road section, and counter D for the cumulative time of anxiety occurrence for each first-time road).

[0190] Prior to the calculation process of the anxiety feature amount for each first-time traveling road, the anxiety feature calculation unit 53 resets the corresponding counters (anxiety occurrence count counter B, traveling time counter C for the first-time traveling road section, and anxiety occurrence cumulative time counter D corresponding to the first-time traveling road).

[0191] First, when a route (navigation route) to be guided is set, the anxiety characteristic calculation unit 53 determines whether or not a new destination and a new route are included, or whether or not a new route is included, based on the driving history (step S171). In the determination at step S171, if the first route is not included (step S171; No), the process ends.

[0192] In the judgment of step S171, if the route includes a new destination and a new route or includes a new route (step S171; Yes), the anxiety feature calculation unit 53 extracts the relevant section (group of road links) that is being driven for the first time (step 172). Next, the anxiety characteristic calculation unit 53 acquires the number of times anxiety occurred while traveling through all the relevant sections that are being traveled for the first time in the anxiety occurrence number counter B (step S173).

[0193] Next, the anxiety characteristic calculation unit 53 acquires the accumulated anxiety occurrence time while traveling through all the relevant sections that are being traveled for the first time in the anxiety occurrence accumulated time counter D (step S174). Furthermore, the anxiety characteristic calculation unit 53 acquires the travel time during travel in all the relevant sections that are traveled for the first time in the travel time counter C (step S175).

[0194] Next, the anxiety feature calculation unit 53 determines whether or not the timing for ending accumulation of the anxiety feature amount, for example, the time for ending driving, has arrived (step S176).

[0195] In the judgment of step S157, if it is not yet time to finish accumulating the anxiety feature amount (step S176; No), the anxiety feature calculation unit 53 shifts the processing back to step S172, and thereafter executes the above-mentioned processing.

[0196] If it is determined in step S176 that the timing for ending accumulation of anxiety feature amounts has been reached (step S176; Yes), the anxiety feature calculation unit 53 calculates the anxiety occurrence count time ratio (= number of anxiety occurrences / driving time) and anxiety occurrence time ratio (= cumulative anxiety occurrence time / driving time) as indicators (step S177), and ends the processing.

[0197] As explained above, the calculation of anxiety features can be limited to sections that are being driven for the first time, so that the matters that need to be taken into consideration when driving on a section that is being driven for the first time become clear, and it becomes possible to drive appropriately even when driving on unfamiliar roads, or to present appropriate advice as will be described later.

[0198] FIG. 32 is a process flowchart of a calculation process of an anxiety feature amount for a predetermined period immediately after starting driving. The anxiety characteristic calculation unit 53 acquires the anxiety occurrence time D within a certain period E (for example, 5 minutes) immediately after starting driving based on the output of the anxiety state acquisition unit 51 (step S191). Next, the anxiety characteristic calculation unit 53 calculates the anxiety occurrence time ratio (=anxiety occurrence time / certain time E) as an index (step S192), and ends the process.

[0199] As explained above, the calculation of the anxiety feature amount can be limited to a certain period of time immediately after starting driving, so that the driver can drive carefully even during the period of time immediately after starting driving when the driver is not used to driving, or it becomes possible to present appropriate advice as will be described later.

[0200] FIG. 33 is a process flowchart of the calculation process of the anxiety feature amount depending on whether or not there is a passenger. This process is carried out after the operation is completed. In this case, it is assumed that counters corresponding to the time during driving (anxiety occurrence cumulative time counter D and driving time counter C) are provided. Based on the output of the anxiety state acquisition unit 51, the anxiety characteristic calculation unit 53 acquires the anxiety occurrence time during driving in the anxiety occurrence cumulative time counter D, and acquires the driving time (driving time) in the driving time counter C (step S201). Next, the anxiety characteristic calculation unit 53 calculates an anxiety occurrence time ratio (=cumulative anxiety occurrence time / driving time) as an index (step S202).

[0201] Next, the anxiety characteristic calculation unit 53 determines whether or not there is a passenger based on the output of a passenger discrimination device that uses an image recognition function using a camera or the like (step S203). In this case, the passenger discrimination device can register specific people (the user, family members, acquaintances, employees, or other people who frequently use the vehicle) as registered passengers in advance in response to a user instruction.

[0202] If it is determined in step S203 that there is no passenger (step S203; No), the anxiety characteristic calculation unit 53 uses the index calculated in step S202 as the index for when there is no passenger (step S207), and terminates the processing. If it is determined in step S203 that there is a fellow passenger (step S203; Yes), the anxiety characteristic calculation unit 53 determines whether the fellow passenger is a registered fellow passenger based on the output of the fellow passenger discrimination device (step S204).

[0203] If it is determined in step S204 that the passenger is a registered passenger (step S204; Yes), the anxiety characteristic calculation unit 53 uses the index calculated in step S202 as the index when the passenger is a registered passenger (step S205), and terminates the processing.

[0204] If it is determined in step S204 that the passenger is not a registered passenger (step S204; No), the anxiety characteristic calculation unit 53 uses the index calculated in step S202 as an index for when there is a passenger but he is not a registered passenger (step S206), and terminates the processing.

[0205] As explained above, different indices are used when calculating anxiety characteristics depending on whether or not there is a passenger, and furthermore, whether or not the passenger is a registered passenger. This allows for more accurate calculation of anxiety characteristics, enabling driving that is more in line with the driver's psychological state while driving, or making it possible to provide appropriate advice as will be described later.

[0206] As described above, according to the fourth embodiment, it is possible to provide an anxiety feature presentation device that can more accurately acquire anxiety features based on the driver's psychological state, driving route, and driving environments inside and outside the vehicle, and present them to the user.

[0207] [5] Fifth embodiment The fifth embodiment relates to an information presentation device that can present a history of changes in the anxiety feature quantity to the user based on the history of the anxiety feature quantity, and can present information such as suitable driving advice to the user.

[0208] FIG. 34 is a functional configuration block diagram of an information presentation device according to a first aspect of the fifth embodiment. The information presentation device 60 includes a most recent anxiety feature storage unit 61 , a personal anxiety feature storage unit 62 , a most recent / past anxiety feature comparison unit 63 , and an information presentation unit 64 .

[0209] The most recent anxiety feature amount storage unit 61 stores the anxiety feature amount of the user's most recent (latest) driving. The individual anxiety feature amount storage unit 62 stores anxiety feature amounts from the user's past driving experiences.

[0210] The most recent / past anxiety feature comparison unit 63 compares the anxiety feature of the user's most recent (latest) driving stored in the most recent anxiety feature storage unit 61 with the anxiety feature of the user's past driving stored in the personal anxiety feature storage unit 62, and calculates the comparison result.

[0211] The information presenting unit 64 presents information based on the comparison result calculated by the most recent / past anxiety feature amount comparing unit 63 . The operation of the information presentation device 60 of this first aspect will be described in detail later.

[0212] FIG. 35 is a functional configuration block diagram of an information presentation device according to a second aspect of the fifth embodiment. The information presentation device 70 includes an individual anxiety feature storage unit 71 , a general anxiety feature storage unit 72 , an individual / general anxiety feature comparison unit 73 , and an information presentation unit 74 .

[0213] The individual anxiety feature amount storage unit 71 stores anxiety feature amounts from the user's past driving experiences. The general anxiety feature amount storage unit 72 stores anxiety feature amounts from past driving experiences of an unspecified number of users.

[0214] The individual / general anxiety feature comparison unit 73 compares the anxiety feature of the user's past driving stored in the individual anxiety feature storage unit 71 with the anxiety feature of an unspecified number of users' past driving stored in the general anxiety feature storage unit 72, and calculates a comparison result.

[0215] The information presenting unit 74 presents information based on the comparison result calculated by the individual / general anxiety feature comparing unit 73 . The operation of the information presentation device 70 of the second embodiment will be described in detail later.

[0216] FIG. 36 is a functional configuration block diagram of an information presentation device according to a third aspect of the fifth embodiment. The information presentation device 80 includes a most recent anxiety feature amount storage unit 81 , a personal anxiety feature amount storage unit 82 , an anxiety feature change determination unit 83 , a driving skill level acquisition unit 84 , and an advice presentation unit 85 .

[0217] The most recent anxiety feature amount storage unit 81 stores the anxiety feature amount of the user's most recent (latest) driving. The individual anxiety feature amount storage unit 82 stores anxiety feature amounts from the user's past driving experiences.

[0218] The anxiety characteristic change judgment unit 83 compares the anxiety characteristic of the user's most recent (latest) driving stored in the most recent anxiety characteristic storage unit 61 with the anxiety characteristic of the user's past driving stored in the personal anxiety characteristic storage unit 62 to judge a change in the anxiety characteristic, and outputs the judgment result to the advice presentation unit 85.

[0219] The driving skill level acquisition unit 84 acquires the driving skill level of the user and outputs the acquired result to the advice presentation unit 85.

[0220] The advice presenting unit 85 presents driving advice to the user based on the judgment result of the change in anxiety characteristics output by the anxiety characteristic change judgment unit 83 and the user's driving skill level acquired by the driving skill level acquisition unit 84. The operation of the information presentation device 80 of the third aspect will be described in detail later.

[0221] FIG. 37 is an explanatory diagram (part 1) of comparative data of anxiety feature amounts for each driving scene. The example in FIG. 37 shows a driving scene including a narrow road, a right turn, a lane change, a merging road, and parking. As shown in Figure 37, the anxiety feature comparison result R7 includes a narrow road anxiety feature comparison result R71, a right turn anxiety feature comparison result R72, a lane change anxiety feature comparison result R73, a merging anxiety feature comparison result R74, and a parking anxiety feature comparison result R75.

[0222] Figure 37 also shows the characteristics of an unspecified number of users (ratio of number of times anxiety occurred), the characteristics of a large number of users among the unspecified number of users who have similar anxiety characteristics to the driver (ratio of number of times anxiety occurred), the characteristics of the user in the user's past driving (ratio of number of times anxiety occurred), and the characteristics of the user in the user's most recent driving (ratio of number of times anxiety occurred).

[0223] For example, in a right-turn driving situation, the ratio of anxiety occurrences for an unspecified number of users is 5%, the ratio of anxiety occurrences for a number of users with similar anxiety characteristics to the user is 10%, the ratio of anxiety occurrences for the user in the user's past driving events is 40%, and the ratio of anxiety occurrences for the user in the user's most recent driving events is 20%.

[0224] First, an example of the operation of the information presentation device 60 of the first embodiment will be described. In the example of FIG. 37 , according to the information presentation device 60 of the first aspect, the information presentation unit 64 presents to the user, for example, the following information or advice as information based on the comparison result calculated by the most recent / past anxiety feature comparison unit 63:

[0225] More specifically, the information presentation unit 64 of the information presentation device 60 displays a message such as, for example, "You were able to drive calmly when turning right and changing lanes this time," since the ratio of anxiety occurrences has improved since the ratio of anxiety occurrences in the past when turning right was 40%, but the ratio of anxiety occurrences in the most recent time when turning right is 20%, and since the ratio of anxiety occurrences in the past when changing lanes was 20%, but the ratio of anxiety occurrences in the most recent time when changing lanes is 0%.

[0226] In addition, the information presentation unit 64 presents advice such as, for example, "Please check the separate technical advice for driving on narrow roads and parking," based on the fact that the ratio of the number of times anxiety occurred in the past on narrow roads was 70%, but the ratio of the number of times anxiety occurred most recently on narrow roads is 100%, which has worsened, and that the ratio of the number of times anxiety occurred in the past when parking was 100%, but the ratio of the number of times anxiety occurred most recently when parking is 100%, which has not improved at all.

[0227] Therefore, the information presentation device 60 of the first aspect can present appropriate information or advice to the current user based on the user's past anxiety occurrence situations and the most recent anxiety occurrence situations.

[0228] Next, an example of the operation of the information presentation device 70 according to the second embodiment will be described. In the example of FIG. 37 , according to the second aspect of the information presentation device 70, the information presentation unit 74 presents the user with, for example, the following information or advice based on the comparison result calculated by the individual / general anxiety feature comparison unit 73:

[0229] More specifically, the information presentation unit 74 of the information presentation device 70 presents advice such as, for example, "You seem to be a little anxious about driving on narrow roads, turning right, and parking. Please check the separate technical advice," based on the following points: the rate of anxiety experienced by general users on narrow roads is 25%, while the rate of anxiety experienced by the individual user in the past on narrow roads is 70%; the rate of anxiety experienced by general users when turning right is 5%, while the rate of anxiety experienced by the individual user in the past on narrow roads is 40%; and the rate of anxiety experienced by general users when parking is 20%, while the rate of anxiety experienced by the individual user when parking is 100%.

[0230] In addition, since the ratio of the number of times that anxiety has occurred for general users when merging is 5%, and the ratio of the number of times that anxiety has occurred in the past for an individual merging user is also 5%, the information presentation unit 74 presents a message such as, for example, "When merging, you are driving calmly at the same level as other people."

[0231] Therefore, the information presentation device 70 of the second aspect can present appropriate information or advice to the user based on the anxiety occurrence state of the user in the past and the anxiety occurrence states of an unspecified number of general users.

[0232] FIG. 38 is an explanatory diagram (part 2) of comparative data of anxiety feature amounts for each driving scene. The example of FIG. 38 shows a driving scene in which the vehicle is traveling on a road for the first time. As shown in FIG. 38, the anxiety feature amount comparison result R8 includes a comparison result item R81 and an anxiety feature amount comparison result R82 for a road that has been traveled for the first time.

[0233] Figure 38 also shows the characteristics of an unspecified number of users (proportion of time when anxiety occurs), the characteristics of a large number of users among the unspecified number of users who have similar anxiety characteristics to the driver (proportion of time when anxiety occurs), the characteristics of the user in the user's past driving (proportion of time when anxiety occurs), and the characteristics of the user in the user's most recent driving (cumulative time when anxiety occurs and proportion of time when anxiety occurs).

[0234] In a driving scene on a road that the user is driving on for the first time, as shown in Figure 38, the percentage of time during which anxiety occurred for an unspecified number of users = 2%, the percentage of time during which anxiety occurred for a number of users who have similar anxiety characteristics to the user = 10%, the percentage of time during which anxiety occurred for the user in the user's past driving = 30%, the cumulative time during which anxiety occurred for the user in the user's most recent driving = 20 minutes, and the percentage of time during which anxiety occurred for the user in the user's most recent driving = 20%.

[0235] In the example of Figure 38, the time rate at which an average user experiences anxiety is 2%, while the user's personal past time rate at which anxiety occurred is 30%. Therefore, advice such as "When driving on a road for the first time, you can drive safely if you check in advance the characteristics and conditions of the road on the navigation route and parking lots near your destination" is presented.

[0236] Furthermore, since the user's past time rate of anxiety was 30%, while their most recent time rate of anxiety was 20%, a message such as "You were able to drive on a road you've never driven before more calmly. Drive with confidence next time too" can be displayed.

[0237] Therefore, the information presentation device 70 of the second aspect can present appropriate information or advice to the user based on the anxiety occurrence state of the user in the past and the anxiety occurrence states of an unspecified number of general users.

[0238] FIG. 39 is an explanatory diagram (part 3) of comparative data of anxiety feature amounts for each driving scene. In the example of FIG. 39, a driving scene is shown with and without a passenger. As shown in Figure 39, the anxiety feature comparison result R9 includes an anxiety feature comparison result R91 when there is a passenger (unregistered passenger), an anxiety feature comparison result R92 when there is a passenger (registered passenger), and an anxiety feature comparison result R93 when there is no passenger.

[0239] FIG. 39 also shows the user's characteristic amount (proportion of time during which anxiety occurred) in the user's past driving and the user's characteristic amount (proportion of time during which anxiety occurred) in the user's most recent driving.

[0240] In the case of driving scenes with and without passengers, as shown in Figure 39, the anxiety feature comparison result R91 with a passenger (unregistered passenger) shows that the user's anxiety occurred over a period of 30% in the user's past driving, whereas the anxiety occurred over a period of 33% in the user's most recent driving. Furthermore, the anxiety feature comparison result R92 with a passenger (registered passenger) shows that the user's anxiety occurred over a period of 10% in the user's past driving. Therefore, the following advice is presented: "It seems that you get particularly nervous when carrying people other than family members. Why don't you try driving in a relaxed manner, such as listening to your favorite music?"

[0241] Therefore, the information presentation device 70 of the second aspect can present appropriate information or advice to the user based on the anxiety occurrence state of the user in the past and the anxiety occurrence states of an unspecified number of general users.

[0242] Next, an example of the operation of the information presentation device 80 of the third embodiment will be described. In the past, driving skills were evaluated based on driving operations, behavior, and vehicle behavior characteristics, and advice was given based on the evaluation results. However, because this did not reflect changes in the likelihood of feeling anxious while driving (driving anxiety characteristics), appropriate advice was sometimes not given.

[0243] More specifically, as a general trend, novice drivers improve their driving skills as they gain more driving experience, and their anxiety when driving decreases. In contrast, elderly drivers' driving skills gradually decline as their abilities decline, and their anxiety when driving increases.

[0244] In addition, there were cases where appropriate advice could not be given based on driving skill assessment alone. That is, there were cases where driving anxiety remained unchanged despite driving skill improvement, or where driving anxiety remained unchanged despite driving skill deterioration. Therefore, the information presentation device 80 of the third embodiment operates to present appropriate advice even in the above-mentioned cases.

[0245] FIG. 40 is a diagram illustrating an example of advice for a combination of driving skill and change in anxiety characteristics. The advice table M1 for combinations of changes in driving skills and anxiety characteristics includes an advice group M11 for when the change in anxiety characteristics worsens, an advice group M12 for when there is no change in anxiety characteristics, and an advice group M13 for when the change in anxiety characteristics improves.

[0246] The information presentation device 80 includes a most recent anxiety feature amount storage unit 81 , a personal anxiety feature amount storage unit 82 , an anxiety feature change determination unit 83 , a driving skill level acquisition unit 84 , and an advice presentation unit 85 .

[0247] FIG. 41 is a flowchart showing the operation of the information presentation device 80 according to the third embodiment. First, the driving skill level acquisition unit 84 of the information presentation device 80 acquires the driving skill level (high, normal, low) of the user (step S211). Specifically, the driving skill level acquisition unit 84 identifies the user / driver through image recognition, etc., and acquires the driving skill level by comparing the user's driving operations and vehicle behavior during driving with a predetermined model driving operation or model vehicle behavior.

[0248] Next, the information presentation device 80 acquires the most recent anxiety feature held in the most recent anxiety feature holding unit 81 and the individual anxiety feature held in the individual anxiety feature holding unit 82 (step S212).

[0249] Then, the anxiety characteristic change judgment unit 83 compares the most recent anxiety characteristic with the individual anxiety characteristic to judge whether the most recent anxiety characteristic has worsened, remained unchanged, or improved compared to the individual anxiety characteristic, which is the past anxiety characteristic (step S213).

[0250] FIG. 42 is a process flowchart of the determination process of the anxiety characteristic change determination unit. First, the anxiety characteristic change determination unit 83 checks the difference between the most recent anxiety characteristic amount and the individual anxiety characteristic amount acquired for each aggregation unit (step S221).

[0251] Specifically, for example, if the difference between the most recent anxiety feature and the individual anxiety feature increases by a predetermined threshold (e.g., 20%) or more, the anxiety feature change judgment unit 83 judges that the most recent anxiety feature has deteriorated compared to the individual anxiety feature, which is the past anxiety feature.

[0252] Furthermore, if the difference between the most recent anxiety feature and the individual anxiety feature has decreased by a predetermined threshold (for example, 20%) or more, the anxiety feature change judgment unit 83 judges that the most recent anxiety feature has improved compared to the individual anxiety feature, which is the anxiety feature of the past.Furthermore, in any other cases, the anxiety feature change judgment unit 83 judges that there is no change.

[0253] Next, the anxiety characteristic change determining unit 83 determines whether or not the improvement determining condition is met, for example, whether or not there is no deterioration in any counting unit and there is improvement in two or more counting units (step S222).

[0254] In the determination at step S222, if the improvement determination condition is met (step S222; Yes), the anxiety characteristic change determination unit 83 determines that the anxiety characteristic change is an improvement (step S225), and ends the process. If the improvement judgment condition is not met in the judgment of step S222 (step S222; No), the anxiety characteristic change judgment unit 83 judges whether the deterioration judgment condition is met, for example, whether there is no improvement in all counting units and whether there is deterioration in two or more counting units (step S223).

[0255] In the determination at step S223, if the deterioration determination condition is met (step S223; Yes), the anxiety characteristic change determination section 83 determines that the anxiety characteristic change is a deterioration (step S226), and ends the process.

[0256] In the determination at step S223, if the deterioration determination condition is not satisfied (step S223; No), the anxiety characteristic change determination unit 83 determines that there is no anxiety characteristic change (step S224), and ends the process.

[0257] Then, the advice presenting unit 85 refers to the advice table M1 for combinations of changes in driving skill and anxiety characteristics, and presents appropriate advice based on the driving skill level and changes in anxiety characteristics (step S214).

[0258] Specifically, when driving skill is high / improving and the change in anxiety characteristics is worsening, the advice group M11 for when the change in anxiety characteristics is worsening is referred to, and advice is given to "inform the driver that their driving skill is high (improving) and encourage them to drive with confidence."

[0259] In addition, when driving skill is low / deteriorating and the change in anxiety characteristics is improving, the advice group M13 for when the change in anxiety characteristics is improving is referred to, and advice corresponding to the driving skill is given, such as "provide driving advice (do not become overly complacent) and encourage careful driving."

[0260] Also, if driving skill=medium / no change and there is no change in anxiety characteristics, advice group M12 for when there is no change in anxiety characteristics is referenced and advice to "encourage relaxed driving" is given.

[0261] Therefore, according to the information presentation device 80 of the third aspect, appropriate information or advice can be presented to the user based on the user's driving skill and changes in anxiety characteristics, and appropriate driving that matches the user's driving skill can be encouraged.

[0262] Although the embodiments of the present disclosure have been described above, the above-described embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These novel embodiments and modifications thereof are included within the scope and spirit of the invention, and are also included in the scope of the invention and its equivalents as defined in the claims.

[0263] Furthermore, the effects of the embodiments described in this specification are merely examples and are not limiting, and other effects may also be obtained.

[0264] The anxiety map display device, information acquisition device, and information presentation device of the embodiments have a hardware configuration that uses a conventional computer equipped with a control device such as an MPU, a storage device such as a ROM (Read Only Memory) or RAM, an input device, and an output device.

[0265] The programs executed by the anxiety map display device, information acquisition device, and information presentation device of this embodiment are provided as installable or executable files recorded on a computer-readable recording medium such as a USB memory, a semiconductor storage device such as an SSD, or a DVD (Digital Versatile Disk).

[0266] The anxiety map display device, information acquisition device, and programs executed by the information presentation device of the embodiments may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network.The anxiety map display device, information acquisition device, and programs executed by the information presentation device of the embodiments may be provided or distributed via a network such as the Internet.

[0267] Furthermore, the programs for the anxiety map display device, the information acquisition device, and the information presentation device according to the present embodiment may be provided by being pre-installed in a ROM or the like.

[0268] [Note] This embodiment can also be modified as follows. The anxiety map display device of the first other aspect includes: an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; a driving status acquisition unit that acquires driving status of a vehicle while it is traveling; an anxiety map generation unit that generates an anxiety map indicating anxiety occurrence positions corresponding to a predetermined driving situation for the driver based on the position information and the driving situation when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; and an anxiety map display unit that displays the generated anxiety map for the driver as a personal anxiety map. According to the above aspect, a personal anxiety map that reflects the characteristics and attributes of the individual driver can be displayed and used, allowing the driver to drive with ease by using a personal anxiety map that takes into account the driver's previous driving history.

[0269] The anxiety map display device of a second aspect is the anxiety map display device of the first aspect, further comprising: a condition acquisition unit that acquires conditions for displaying on the anxiety map from a user; The anxiety map generation unit generates the anxiety map based on the acquired conditions. According to the above aspect, a personal anxiety map that meets the conditions desired by the user can be displayed, improving convenience.

[0270] The anxiety map display device of a third aspect is the anxiety map display device of the second aspect, further comprising: The conditions include at least one of a narrow road, a right turn, a lane change, a merging road, parking, driving on a highway, driving at night, driving in the rain, and driving on a road for the first time. According to the above aspect, a personal anxiety map of conditions that cause greater anxiety can be displayed, and can be easily used.

[0271] The anxiety map display device of a fourth aspect is the anxiety map display device of the first aspect, further comprising: The anxiety map generating unit performs color coding based on the number of times the anxiety state is acquired at the same driving position and in the same driving situation. According to the above aspect, the color coding makes it possible to clearly grasp the driving position that may cause an uneasy state.

[0272] The anxiety map display device of a fifth aspect is the anxiety map display device of the fourth aspect, further comprising: In the color coding, the anxiety map generating unit uses colors that are considered less likely to increase anxiety as display colors. According to the above aspect, the anxiety map can be used without increasing the user's anxiety due to the display color.

[0273] The anxiety map display device of a sixth aspect is the anxiety map display device of the fifth aspect, further comprising: As the display colors, blue and green colors are used, and the use of red colors is prohibited. According to the above aspect, the display color does not increase anxiety, and the anxiety map can be used in a calm state.

[0274] The anxiety map display device of another embodiment of the present invention is the anxiety map display device of another embodiment of the present invention, further comprising: As the display color, a color that is likely to activate the parasympathetic nervous system is used, and the use of a color that is likely to activate the sympathetic nervous system is prohibited. According to the above aspect, the display color does not increase anxiety, and the anxiety map can be used in a calm state.

[0275] An anxiety map display device according to an eighth aspect of the present invention is the anxiety map display device according to the seventh aspect of the present invention, further comprising: The colors that tend to activate the parasympathetic nervous system are blue-based colors and green-based colors, The color that is likely to activate the sympathetic nerves is a red color. According to the above aspect, the display color can reliably calm the nerves and allow the anxiety map to be used without increasing anxiety.

[0276] The anxiety map display device of a ninth aspect is the anxiety map display device of the first aspect, further comprising: The anxiety map generation unit excludes the location information and the driving situation acquired during a period in which a predetermined specific condition is satisfied from targets for generating the anxiety map. According to the above aspect, the reliability of the anxiety map can be improved.

[0277] An anxiety map display device according to a tenth aspect of the present invention is the anxiety map display device according to the ninth aspect of the present invention, further comprising: The specific condition is at least one of the following: acquired before a predetermined time has elapsed since the vehicle departed; acquired before the distance traveled since the vehicle departed exceeds a predetermined distance; acquired from a predetermined time before arrival at the destination until arrival at the destination; acquired after approaching a predetermined distance to the destination until arrival at the destination; or acquired when there is a passenger. According to the above aspect, information on the anxiety state collected in a state of low reliability is not reflected in the anxiety map, so the reliability of the anxiety map can be improved.

[0278] An anxiety map display device according to another embodiment of the present invention includes: an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; an anxiety map generation unit that generates an anxiety map indicating an anxiety occurrence position for the driver based on the position information when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; and an anxiety map display unit that displays the generated anxiety map for the driver as a personal anxiety map. According to the above aspect, a personal anxiety map that reflects the characteristics and attributes of the individual driver can be displayed and used, allowing the driver to drive with ease by using a personal anxiety map that takes into account the driver's previous driving history.

[0279] The anxiety map display device according to a twelfth embodiment includes: a plurality of information acquisition devices mounted on each vehicle, each of which includes an anxiety state acquisition unit that acquires the anxiety state of the driver while the vehicle is traveling, a vehicle position acquisition unit that acquires the position information of the vehicle while the vehicle is traveling, a driving condition acquisition unit that acquires the driving condition of the vehicle while the vehicle is traveling, and a driver characteristic and attribute acquisition unit that acquires the characteristics and attributes of the driver; a general anxiety map generation unit that generates a general anxiety map indicating anxiety occurrence positions corresponding to predetermined driving situations for a plurality of the drivers based on the position information and the driving situation when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; and and an anxiety map display unit that displays the generated general anxiety map. According to the above aspect, a statistical general anxiety map that reflects the characteristics and attributes of multiple general drivers can be displayed and used, so that drivers can drive with ease by using the general anxiety map that reflects the anxiety state of general drivers.

[0280] The anxiety map display device of another aspect 13 is the anxiety map display device of the other aspect 12, further comprising: a condition acquisition unit that acquires conditions for displaying the general anxiety map; The general anxiety map generating unit generates the general anxiety map based on the acquired conditions. According to the above aspect, it is possible to display a general anxiety map that meets the conditions desired by the user, thereby improving convenience.

[0281] The anxiety map display device of another aspect of the present invention is the anxiety map display device of another aspect of the present invention, further comprising: The conditions include at least one of a narrow road, a right turn, a lane change, a merging road, parking, driving on a highway, driving at night, driving in the rain, and driving on a road for the first time. According to the above aspect, a general anxiety map of conditions that cause greater anxiety can be displayed, making it easy to use.

[0282] The anxiety map display device of another aspect of the present invention is the anxiety map display device of another aspect of the present invention, further comprising: The general anxiety map generating unit performs color coding based on the number of times the anxiety state is acquired in the same driving position and the same driving situation. According to the above aspect, the anxiety map can be used without increasing the user's anxiety due to the display color.

[0283] An anxiety feature presentation device according to another aspect of the sixteenth aspect, an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; a driving status acquisition unit that acquires driving status of a vehicle while it is traveling; an anxiety feature calculation unit that calculates an anxiety feature amount for each predetermined aggregation unit based on the location information and the driving situation when the predetermined anxiety state of the driver is acquired by the anxiety state acquisition unit; and an anxiety feature presentation unit that presents the calculated anxiety feature amount. According to the above aspect, the anxiety feature of the individual driver can be reliably presented, and the driver can drive with ease.

[0284] The anxiety characteristic presentation device of another aspect of the present invention is the anxiety characteristic presentation device of another aspect of the present invention, The driving conditions include at least one of a narrow road, a right turn, a lane change, a merging road, parking, driving on a highway, driving at night, driving in the rain, and driving on a road for the first time. According to the above aspect, anxiety characteristics of conditions that cause greater anxiety can be presented, and the system can be easily used.

[0285] An anxiety characteristic presentation device according to an eighteenth aspect of the present invention is the anxiety characteristic presentation device according to the sixteenth aspect of the present invention, The anxiety feature amount includes at least one of the number of anxiety occurrences, the cumulative time of anxiety occurrences, the ratio of the number of anxiety occurrences, the ratio of the time of anxiety occurrences, and the number of anxiety occurrences per unit time. According to the above aspect, anxiety characteristics of conditions that cause greater anxiety can be presented, and the system can be easily used.

[0286] The anxiety characteristic presentation device of another aspect of the present invention is the anxiety characteristic presentation device of another aspect of the present invention, The aggregation unit is any one of a driving scene, a driving environment, a driving scene that is generally considered less likely to cause anxiety, the presence or absence of a passenger, a road that has been driven for the first time, or a predetermined period immediately after starting driving. According to the above aspect, it is possible to present only anxiety characteristics that are conditions that make the driver feel more anxious, and this makes it easy to use.

[0287] The anxiety characteristic presentation device of another aspect 20 is the anxiety characteristic presentation device of another aspect 16 to 19, The system includes an advice presentation unit that presents advice based on the result of the comparison of the anxiety feature quantities of the same aggregation unit. According to the above aspect, it is possible to present more suitable advice that takes into consideration the results of the comparison of the anxiety feature quantities of the same aggregation unit, that is, the change state of the anxiety feature quantities.

[0288] The anxiety characteristic presentation device of another aspect 21 is the anxiety characteristic presentation device of another aspect 20, The advice presenting unit presents the advice based on a result of comparison between a past anxiety feature amount and a most recent anxiety feature amount for the same aggregation unit. According to the above aspect, advice can be presented that takes into consideration not only the most recent anxiety feature but also the process by which the anxiety feature changed from a past anxiety feature to the most recent anxiety feature, making it possible to guide the user in a direction that is considered more meaningful.

[0289] The anxiety characteristic presentation device of another aspect 22 is the anxiety characteristic presentation device of another aspect 16, an anxiety feature change determination unit that determines a time change in the anxiety feature amount; a driving skill level acquisition unit that acquires driving skill information; and an advice providing unit that provides advice based on the relationship between the change over time of the anxiety feature amount and the driving skill. According to the above aspect, advice can be presented that is suited to the driver's driving skill and state of anxiety, allowing the driver to drive with greater peace of mind. [Explanation of symbols]

[0290] 10 Anxiety map display device 11 Anxiety state acquisition unit 12 Vehicle position acquisition unit 13 Driving status acquisition unit 14 Information storage unit when anxiety occurs 15 Condition acquisition section 16 Anxiety map data generation section 17 Anxiety map display 30 Anxiety Map Display System 31A Information acquisition device 32 General Anxiety Map Data Storage Server 33 Condition acquisition section 34 General Anxiety Map Data Acquisition Section 35 General Anxiety Map Display 41 Driver characteristics and attribute acquisition section 42 Driver characteristics and attribute storage section 43 Anxiety state acquisition unit 44 Vehicle position acquisition unit 45 Driving status acquisition unit 46 Information storage unit when anxiety occurs 50 Anxiety feature presentation device 51 Anxiety state acquisition unit 52 Driving status acquisition unit 53 Anxiety feature calculation unit 54 Anxiety feature presentation section 60 Information presentation device 61 Most recent anxiety feature storage unit 62 Individual anxiety feature storage unit 63 Comparison of recent and past anxiety features 64 Information Presentation Department 70 Information presentation device 71 Personal anxiety feature storage unit 72 General anxiety feature storage unit 73 Individual and general anxiety feature comparison section 74 Information presentation section 80 Information presentation device 81 Most recent uncertainty feature storage unit 82 Individual anxiety feature storage unit 83 Anxiety characteristic change judgment unit 84 Driving Skill Level Acquisition Department 85 Advice section M1 Advice Table M11~M13 Advice Group

Claims

1. an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; a driving status acquisition unit that acquires driving status of a vehicle while it is traveling; an anxiety map generation unit that generates an anxiety map indicating anxiety occurrence positions corresponding to a predetermined driving situation for the driver based on the position information and the driving situation when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; an anxiety map display unit that displays the generated anxiety map for the driver as a personal anxiety map; An anxiety map display device comprising:

2. a condition acquisition unit that acquires conditions for displaying on the anxiety map from a user; the anxiety map generation unit generates the anxiety map based on the acquired conditions. The anxiety map display device of claim 1 .

3. The conditions include at least one of narrow roads, right turns, lane changes, merging, parking, driving on a highway, driving at night, driving in the rain, and driving on a road that has never been driven before. The anxiety map display device according to claim 2 .

4. The anxiety map generation unit performs color coding based on the number of times the anxiety state is acquired at the same driving position and in the same driving situation. The anxiety map display device of claim 1 .

5. the anxiety map generation unit uses, as a display color, a color that is considered less likely to increase anxiety in the color coding; The anxiety map display device according to claim 4 .

6. bluish and greenish colors are used as the display colors, and reddish colors are prohibited from being used; The anxiety map display device according to claim 5 .

7. As the display color, a color that is likely to activate the parasympathetic nervous system is used, and the use of a color that is likely to activate the sympathetic nervous system is prohibited. The anxiety map display device according to claim 5 .

8. The colors that tend to activate the parasympathetic nervous system are blue-based colors and green-based colors, The color that is likely to activate the sympathetic nerves is a red color. The anxiety map display device according to claim 7 .

9. The anxiety map generation unit excludes the location information and the driving situation acquired during a period in which a predetermined specific condition is satisfied from targets for generating the anxiety map. The anxiety map display device of claim 1 .

10. The specific condition is at least one of the following cases: when the signal is acquired within a predetermined time period after the vehicle departs, when the signal is acquired before the travel distance from the vehicle departs exceeds a predetermined distance, when the signal is acquired from a predetermined time before arrival at the destination until arrival at the destination, when the signal is acquired from approaching a predetermined distance to the destination until arrival at the destination, or when there is a passenger. The anxiety map display device of claim 9.

11. an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; an anxiety map generation unit that generates an anxiety map indicating an anxiety occurrence position for the driver based on the position information when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; an anxiety map display unit that displays the generated anxiety map for the driver as a personal anxiety map; An anxiety map display device comprising:

12. a plurality of information acquisition devices mounted on each vehicle, each of which includes an anxiety state acquisition unit that acquires the anxiety state of the driver while the vehicle is traveling, a vehicle position acquisition unit that acquires position information of the vehicle while the vehicle is traveling, a driving status acquisition unit that acquires the driving status of the vehicle while the vehicle is traveling, and a driver characteristic / attribute acquisition unit that acquires the characteristics and attributes of the driver; a general anxiety map generation unit that generates a general anxiety map indicating anxiety occurrence positions corresponding to predetermined driving situations for a plurality of the drivers based on the position information and the driving situation when the predetermined anxiety state for the driver is acquired by the anxiety state acquisition unit; and an anxiety map display unit that displays the generated general anxiety map; An anxiety map display device comprising:

13. a condition acquisition unit that acquires conditions for displaying the general anxiety map; the general anxiety map generation unit generates the general anxiety map based on the acquired conditions. The anxiety map display device of claim 12.

14. The conditions include at least one of narrow roads, right turns, lane changes, merging, parking, driving on a highway, driving at night, driving in the rain, and driving on a road that has never been driven before. The anxiety map display device of claim 13.

15. the general anxiety map generation unit performs color coding based on the number of times the anxiety state is acquired at the same driving position and in the same driving situation; The anxiety map display device of claim 12.

16. an anxiety state acquisition unit that acquires the anxiety state of a driver while the vehicle is running; a vehicle position acquisition unit that acquires position information of a vehicle that is running; a driving status acquisition unit that acquires driving status of a vehicle while it is traveling; an anxiety feature calculation unit that calculates an anxiety feature amount for each predetermined aggregation unit based on the location information and the driving situation when the predetermined anxiety state of the driver is acquired by the anxiety state acquisition unit; an anxiety feature presentation unit that presents the calculated anxiety feature amount; An anxiety feature presentation device comprising:

17. The driving conditions include at least one of narrow roads, right turns, lane changes, merging, parking, highway driving, night driving, rainy weather driving, and roads that have never been driven before. The anxiety characteristic presentation device according to claim 16.

18. The anxiety feature amount includes at least one of the number of anxiety occurrences, the cumulative time of anxiety occurrences, the ratio of the number of anxiety occurrences, the ratio of the time of anxiety occurrences, and the number of anxiety occurrences per unit time. The anxiety characteristic presentation device according to claim 16.

19. The aggregation unit is any one of a driving scene, a driving environment, a driving scene that is generally considered less likely to cause anxiety, the presence or absence of a passenger, a road that has been driven for the first time, or a predetermined period immediately after starting driving. The anxiety characteristic presentation device according to claim 16.

20. an advice presentation unit that presents advice based on a result of comparison of anxiety features of the same aggregation unit; 20. The anxiety characteristic presentation device according to claim 16.

21. the advice presenting unit presents the advice based on a result of comparison between a past anxiety feature quantity and a most recent anxiety feature quantity for the same aggregation unit; The anxiety characteristic presentation device according to claim 20.

22. an anxiety feature change determination unit that determines a time change in the anxiety feature amount; a driving skill level acquisition unit that acquires driving skill information; an advice providing unit that provides advice based on a relationship between a time change in the anxiety feature amount and a driving skill; The anxiety characteristic presentation device according to claim 16 , comprising:

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