Information analysis device and information analysis method

Abstract

The purpose of the present invention is to provide a technique that can generate proper road information. An information analysis device comprises: a storage unit that stores emotion probe information acquired by an acquisition unit; and a control unit that analyzes, on the basis of the emotion probe information stored in the storage unit, whether a vehicle carrying a passenger with a certain emotion has continuously moved with the passage of time and whether the passenger has felt a specific emotion temporarily or repeatedly in a certain location, and generates road information in which an analysis result obtained by the analysis and map data are associated with each other.

Description

[Technical Field]

[0001] The present disclosure relates to an information analysis device and an information analysis method. [Background technology]

[0002] A technology has been proposed that collects near-miss information from vehicle occupants, analyzes the near-miss information, generates road information related to road traffic as danger information, and presents the danger information to drivers and pedestrians (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-123185 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional technology, risk information is generated by analyzing whether or not near misses have occurred repeatedly at a certain location based on the occupant's near miss information. However, the conventional technology does not analyze situations in which the occupant is experiencing a specific emotion while the vehicle is moving, or situations in which the occupant suddenly experiences a specific emotion at a certain location. As a result, the amount of risk information presented to the driver and others is insufficient, resulting in the problem of inappropriate risk information, i.e., road information.

[0005] Therefore, the present disclosure has been made in consideration of the above-mentioned problems, and aims to provide a technology that can generate appropriate road information. [Means for solving the problem]

[0006] The information analysis device according to the present disclosure includes an acquisition unit that acquires occupant emotion information including the emotions of vehicle occupants and emotion probe information including vehicle position information and date and time information related to the occupant emotion information; a storage unit that accumulates the emotion probe information acquired by the acquisition unit; and a control unit that analyzes, based on the emotion probe information accumulated in the storage unit, whether the vehicle moved continuously over time while the occupant had a specific emotion and whether the occupant had the specific emotion temporarily or repeatedly at a certain point, and associates the analysis result obtained thereby with map data to generate road information. The road information is information that can distinguish, in the map data, the range where the vehicle moved continuously over time while the occupant had a specific emotion, the point where the occupant only had a specific emotion temporarily, and the point where the occupant repeatedly had a specific emotion. do. [Effects of the Invention]

[0007] According to the present disclosure, based on the accumulated emotion probe information, an analysis is performed to determine whether the vehicle moved continuously over time while the occupant had a specific emotion, and whether the occupant had the specific emotion temporarily or repeatedly at a certain point, and the analysis results obtained thereby are associated with map data to generate road information. With this configuration, appropriate road information can be generated.

[0008] The objects, features, aspects and advantages of the present disclosure will become more apparent from the following detailed description and the accompanying drawings. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a block diagram showing an example of a configuration of an information analysis device according to a first embodiment. [Figure 2] FIG. 10 is a block diagram showing an example of the configuration of an information analysis device according to a second embodiment. [Figure 3] FIG. 10 is a block diagram showing an example of the configuration of a probe vehicle according to a second embodiment. [Figure 4] 10 is a flowchart showing an example of the operation of the emotion-type transmitting device according to the second embodiment. [Figure 5] 10 is a flowchart showing an example of the operation of the information analysis device according to the second embodiment. [Figure 6]10 is a flowchart showing an example of the operation of an event analysis unit and a road information generation unit according to the second embodiment. [Figure 7] FIG. 10 is a block diagram showing an example of the configuration of a probe vehicle according to a fourth modification of the second embodiment. [Figure 8] FIG. 13 is a block diagram showing an example of the configuration of a probe vehicle according to a sixth modification of the second embodiment. [Figure 9] 13 is a flowchart showing an example of the operation of the information analysis device according to Modification 8 of Embodiment 2. [Figure 10] 13 is a flowchart showing an example of the operation of the information analysis device according to Variation 9 of Embodiment 2. [Figure 11] 13 is a flowchart showing an example of the operation of the information analysis device according to Modification 10 of Embodiment 2. [Figure 12] FIG. 11 is a block diagram showing an example of the configuration of an information analysis device according to a third embodiment. [Figure 13] 11 is a flowchart showing an example of the operation of the information analysis device according to the third embodiment. [Figure 14] 11 is a flowchart showing an example of the operation of an information distribution destination vehicle according to the third embodiment. [Figure 15] 13 is a flowchart showing an example of the operation of an event analysis unit and a road information generation unit according to the first modification of the third embodiment. [Figure 16] 13 is a flowchart showing an example of the operation of the information analysis device according to Modification 2 of Embodiment 3. [Figure 17] 13 is a flowchart showing an example of the operation of the information analysis device according to Modification 3 of Embodiment 3. [Figure 18] 13 is a flowchart showing an example of the operation of the information analysis device according to the fourth modification of the third embodiment. [Figure 19] 13 is a flowchart showing an example of the operation of an information distribution destination vehicle according to a sixth modification of the third embodiment. [Figure 20] FIG. 10 is a block diagram showing a hardware configuration of an information analysis device according to another modified example. [Figure 21]FIG. 10 is a block diagram showing a hardware configuration of an information analysis device according to another modified example. DETAILED DESCRIPTION OF THE INVENTION

[0010] <First Embodiment> Fig. 1 is a block diagram showing an example of the configuration of an information analysis device 1 according to the first embodiment. The information analysis device in Fig. 1 includes an acquisition unit 11, a storage unit 12, and a control unit 13, and is capable of communicating with one or more vehicles. In the following description, the one or more vehicles are assumed to be one or more probe vehicles.

[0011] The acquisition unit 11 acquires emotion probe information from one or more probe vehicles. The acquisition unit 11 may be, for example, a communication device and its interface.

[0012] The emotion probe information acquired by the acquisition unit 11 includes occupant emotion information, vehicle position information which is position information of the probe vehicle, and date and time information. The occupant emotion information includes the emotions of the occupants of the probe vehicle. The emotions included in the occupant emotion information include, for example, the occupants' negative emotions (e.g., fear and surprise) and positive emotions (e.g., joy and expectation).

[0013] The vehicle position information and the date and time information are related to the occupant emotion information, and may be related in such a way that, for example, the timing at which the occupant emotion information is generated is roughly the same as the timing at which the vehicle position information and the date and time information are generated. Alternatively, the vehicle position information and the date and time information may be related to the occupant emotion information in such a way that, for example, the timing at which the occupant biometric information used to generate the occupant emotion information is acquired is roughly the same as the timing at which the vehicle position information and the date and time information are acquired.

[0014] The storage unit 12 stores the emotion probe information acquired by the acquisition unit 11. For example, a memory, which will be described later, is used as the storage unit 12. The storage unit 12 may store multiple pieces of emotion probe information from one probe vehicle multiple times, or may store multiple pieces of emotion probe information from multiple probe vehicles.

[0015] The control unit 13 performs analysis based on the emotion probe information stored in the storage unit 12. The control unit 13 includes, for example, a processing circuit and a processor, which will be described later.

[0016] The analysis performed by the control unit 13 includes an analysis of whether the probe vehicle moved continuously over time while the occupant had a specific emotion, and an analysis of whether the occupant had a specific emotion temporarily or repeatedly at a certain point. The specific emotion is a pre-specified emotion, and may be, for example, a negative emotion (such as fear or surprise) or a positive emotion (such as joy or anticipation). Note that the probe vehicle not moving continuously over time includes the probe vehicle being stationary at a certain point.

[0017] The control unit 13 associates the analysis results obtained by the above analysis with map data to generate road information. The road information is, for example, information in the map data that can identify the range over which the probe vehicle continuously moved over time while the occupant had a specific emotion, the points where the occupant only had the specific emotion temporarily, and the points where the occupant repeatedly had the specific emotion. As will be described in the third embodiment, for example, the road information may be presented to occupants such as the driver and pedestrians.

[0018] <Summary of the First Embodiment> The information analysis device according to the first embodiment as described above analyzes whether the vehicle's occupants have continuously moved over time while feeling a particular emotion, and whether the occupants have felt the particular emotion temporarily or repeatedly at a certain point, and generates road information by associating the analysis results obtained thereby with map data. With this configuration, it is possible to generate appropriate road information with a sufficient amount of information.

[0019] <Embodiment 2> 2 is a block diagram showing an example of the configuration of the information analysis device 1 according to the present embodiment 2. In the following, among the components according to the present embodiment 2, components that are the same as or similar to the components described above are given the same or similar reference numerals, and different components will be mainly described.

[0020] The information analysis device 1 in Fig. 2 includes an emotion input unit 11a, an information accumulation unit 12a, an event analysis unit 13a, and a road information generation unit 13b. The emotion input unit 11a is included in the concept of the acquisition unit 11 in Fig. 1. The information accumulation unit 12a is included in the concept of the memory unit 12 in Fig. 1. The event analysis unit 13a and the road information generation unit 13b are included in the concept of the control unit 13 in Fig. 1.

[0021] The emotion input unit 11a, like the acquisition unit 11 in the first embodiment, acquires emotion probe information from a plurality of probe vehicles 2. The information accumulation unit 12a, like the storage unit 12 in the first embodiment, accumulates emotion probe information from a plurality of probe vehicles 2.

[0022] Like the control unit 13 in the first embodiment, the event analysis unit 13a analyzes the time series occurrence of a specific emotion and the location where the specific emotion occurred, based on the emotion probe information stored in the information storage unit 12a.

[0023] The analysis of the time-series occurrence of a particular emotion includes an analysis of whether the particular emotion occurred temporarily or repeatedly. In other words, the analysis of the time-series occurrence of a particular emotion includes an analysis of whether the occupant had the particular emotion temporarily or repeatedly.

[0024] The analysis of the location where the specific emotion occurred includes an analysis of whether the specific emotion occurred within a certain range or at a certain point. In other words, the analysis of the location where the specific emotion occurred includes an analysis of whether the probe vehicle moved continuously over time while the occupant had the specific emotion, or whether the occupant had the specific emotion at a certain point.

[0025] The road information generating unit 13b generates road information by associating the analysis result of the event analyzing unit 13a with map data, as in the control unit 13 of the first embodiment, thereby generating a database of road information.

[0026] Fig. 3 is a block diagram showing an example of the configuration of a probe vehicle 2 according to the second embodiment. The probe vehicle 2 of Fig. 3 is equipped with an emotion type transmission device 21, a date and time information detection device 22, a vehicle position detection device 23, an occupant state sensing device 24, and a communication device 25. The emotion type transmission device 21 is connected to be able to communicate with the date and time information detection device 22, the vehicle position detection device 23, the occupant state sensing device 24, and the communication device 25. In the example of Fig. 3, the date and time information detection device 22, the vehicle position detection device 23, the occupant state sensing device 24, and the communication device 25 are provided external to the emotion type transmission device 21, but at least one of them may be provided in the emotion type transmission device 21.

[0027] The emotion type transmission device 21 comprises a sensor information input unit 21a, an emotion analysis unit 21b, and a transmission determination unit 21c. The emotion type transmission device 21 can be applied to devices other than the probe vehicle 2 as a device or system constructed as a system by appropriately combining a server or the like provided outside the probe vehicle 2. In this case, the functions or components of the emotion type transmission device 21 are distributed among the functions that construct the system.

[0028] Next, each of the components mounted on the probe vehicle 2 will be described in detail.

[0029] The date and time information detection device 22 acquires current date and time information. The date and time information detection device 22 may acquire the current date and time information via a network, for example, or may acquire the current date and time information from a car navigation system.

[0030] The vehicle position detection device 23 acquires current vehicle position information of the probe vehicle 2. For the vehicle position detection device 23, for example, a high-precision locator and a locator are used.

[0031] The sensor information input unit 21a acquires current date and time information and current vehicle position information from the date and time information detection device 22 and the vehicle position detection device 23, respectively.

[0032] The occupant state sensing device 24 acquires occupant biometric information from the occupant of the probe vehicle 2. The occupant biometric information is biometric information of the occupant of the probe vehicle 2, and includes raw data such as the occupant's facial expression, pulse rate, and heart rate. The occupant state sensing device 24 may use, for example, a DMS (Driver Monitoring System) capable of detecting the occupant's facial expression using image recognition, and a sensor provided on the steering wheel or seat capable of detecting the pulse rate or heart rate.

[0033] The emotion analysis unit 21b acquires occupant biometric information from the occupant state sensing device 24, analyzes the emotions of the occupant based on the occupant biometric information, and generates occupant emotion information as the analysis result. As described in the first embodiment, the occupant emotion information includes the emotions of the occupant of the probe vehicle 2. For example, if the occupant has a bad facial expression or if the occupant's pulse rate and heart rate are high, the emotion analysis unit 21b generates occupant emotion information that includes negative emotions as the occupant's emotions.

[0034] Furthermore, the emotion analysis unit 21b calculates an emotionality, which is the degree of emotion of the occupant of the probe vehicle 2, based on the occupant biometric information. For example, the emotion analysis unit 21b may calculate PNN50, which is described in Japanese Patent Application Laid-Open No. 2018-126422, as the emotionality. Note that the stronger the negative emotion, the smaller the PNN50, and the stronger the positive emotion, the larger the PNN50.

[0035] The transmission determination unit 21c generates emotion probe information including the occupant emotion information generated by the emotion analysis unit 21b and the vehicle position information and date and time information acquired by the sensor information input unit 21a. In the emotion probe information, the vehicle position information and the date and time information are related to the occupant emotion information, and are related so that, for example, the timing at which the occupant biometric information used to generate the occupant emotion information is acquired is approximately the same as the timing at which the vehicle position information and the date and time information are acquired.

[0036] Furthermore, the transmission determination unit 21c controls the communication device 25. The communication device 25 transmits emotion probe information to the information analysis device 1 and receives various types of information from the information analysis device 1 under the control of the transmission determination unit 21c.

[0037] <Operation> FIG. 4 is a flowchart showing an example of the operation of the emotion-type transmitting device 21 according to the second embodiment.

[0038] In step S11, the occupant state sensing device 24 acquires occupant biometric information and transmits the occupant biometric information to the emotion analysis unit 21b. Based on the received occupant biometric information, the emotion analysis unit 21b generates occupant emotion information including the emotion of the occupant of the probe vehicle 2 and calculates the emotion level of the emotion.

[0039] In step S12, the transmission determination unit 21c determines whether or not to transmit emotion probe information from the communication device 25 of the probe vehicle 2 to the information analysis device 1, based on the emotion level calculated by the emotion analysis unit 21b. For example, in a configuration in which the emotion included in the occupant emotion information is a negative emotion and the emotion level is PNN50, if PNN50 is smaller than a reference value, the transmission determination unit 21c determines to transmit the emotion probe information to the information analysis device 1. On the other hand, if PNN50 is equal to or greater than the reference value, the transmission determination unit 21c determines not to transmit the emotion probe information to the information analysis device 1.

[0040] If it is determined that the emotion probe information should be transmitted to the information analysis device 1, the process proceeds to step S13, and if it is determined that the emotion probe information should not be transmitted to the information analysis device 1, the process returns to step S11.

[0041] In step S13, the transmission determination unit 21c reads the vehicle position information and date and time information associated with the occupant emotion information generated by the emotion analysis unit 21b from the vehicle position information and date and time information acquired by the sensor information input unit 21a. The transmission determination unit 21c then generates emotion probe information including the occupant emotion information and the read vehicle position information and date and time information, and transmits the emotion probe information to the information analysis device 1.

[0042] In step S14, it is determined whether or not the emotion-type transmitting device 21 is operating. If it is determined that the emotion-type transmitting device 21 is operating, the process returns to step S11, and if it is determined that the emotion-type transmitting device 21 is not operating, the operation in Fig. 4 ends.

[0043] FIG. 5 is a flowchart showing an example of the operation of the information analysis device 1 according to the second embodiment.

[0044] In step S21, the emotion input unit 11a receives emotion probe information from a plurality of probe vehicles 2. In step S22, the information storage unit 12a stores the emotion probe information received by the emotion input unit 11a.

[0045] In step S23, the event analysis unit 13a analyzes the time series occurrence of specific emotions and the locations where specific emotions occurred, based on the emotion probe information stored in the information storage unit 12a. Then, the road information generation unit 13b generates road information by associating the analysis result of the event analysis unit 13a with the map data. Thereafter, the process returns to step S21.

[0046] The analysis in step S23 is possible when it is determined in step S12 of Fig. 4 based on the emotionality to transmit the emotion probe information to the information analyzing device 1. That is, in the second embodiment, it is essentially determined based on the emotionality whether or not to perform the analysis in step S23.

[0047] FIG. 6 is a flowchart showing an example of the operation of the event analysis unit 13a and the road information generation unit 13b according to the second embodiment, specifically showing the operation in step S23.

[0048] In step S31, the event analysis unit 13a determines, based on the accumulated emotion probe information, whether the probe vehicle has moved continuously over time while the occupant has a specific emotion. For example, if the difference between the previous value and the current value in the vehicle position information included in the emotion probe information is greater than 100 m, the event analysis unit 13a determines that the probe vehicle has moved continuously over time while the occupant has a specific emotion. On the other hand, if the difference between the previous value and the current value in the vehicle position information included in the emotion probe information is 100 m or less, the event analysis unit 13a determines that the probe vehicle has not moved continuously over time while the occupant has a specific emotion.

[0049] If it is determined that the probe vehicle has moved continuously over time while the occupant has a specific emotion, the process proceeds to step S35. If it is determined that the probe vehicle has not moved continuously over time while the occupant has a specific emotion, the process proceeds to step S32.

[0050] In step S32, the event analysis unit 13a determines whether the occupant repeatedly felt a specific emotion at a certain location based on the accumulated emotion probe information. For example, if a specific emotion occurred three or more times in the past ten days at a certain location, the event analysis unit 13a determines that the occupant repeatedly felt a specific emotion at the certain location. On the other hand, if a specific emotion occurred less than three times in the past ten days at a certain location, the event analysis unit 13a determines that the occupant repeatedly felt a specific emotion at the certain location, that is, that the occupant temporarily felt a specific emotion at the certain location.

[0051] If it is determined that the occupant repeatedly had a particular emotion at a certain point, the process proceeds to step S33. If it is determined that the occupant did not repeatedly have a particular emotion at a certain point, the process proceeds to step S34.

[0052] In step S33, the road information generation unit 13b reads various information from the emotion probe information that has been determined to indicate that the occupant repeatedly felt a specific emotion at a certain location, and generates a database of static road information by associating the various information with the map data. As a result, the road information becomes information that can identify locations in the map data where the occupant repeatedly felt a specific emotion. Note that the static road information database is a database that is changed relatively infrequently. Thereafter, the processing of FIG. 6 ends.

[0053] In step S34, the road information generation unit 13b generates a dynamic road information database by associating various pieces of emotion probe information, which have been determined to indicate that the occupant temporarily had a specific emotion at a certain point, with the map data. As a result, the road information becomes information that can identify points in the map data where the occupant only temporarily had a specific emotion. Note that the dynamic road information database is a database that is changed relatively frequently. Thereafter, the processing of FIG. 6 ends.

[0054] In step S35, the road information generation unit 13b generates a dynamic road information database by associating various pieces of emotion probe information, for which a determination result has been obtained that the probe vehicle moved continuously over time while the occupant had a specific emotion, with map data. As a result, the road information becomes information that can identify the range in the map data through which the probe vehicle moved continuously over time while the occupant had a specific emotion. Thereafter, the processing of FIG. 6 ends.

[0055] <Summary of the second embodiment> According to the information analysis device 1 of the second embodiment described above, the same analysis as in the first embodiment is performed, and road information is generated by associating the analysis results obtained thereby with map data. With this configuration, appropriate road information with a sufficient amount of information can be generated.

[0056] Furthermore, in the second embodiment, it is determined based on the emotional level whether or not to perform the same analysis as in the first embodiment. As a result, the analysis is selectively performed, which reduces the processing load on the information analyzing device 1.

[0057] <Variation 1> In the second embodiment, the emotion analysis unit 21b generates occupant emotion information including negative emotions such as surprise and fear based on the received occupant biometric information, but this is not limited to this. For example, the emotion analysis unit 21b may generate occupant emotion information including positive emotions such as joy and anticipation. According to the first modification, road information is presented to the driver, so that the driver can drive in a way that not only avoids danger but also allows the driver to enjoy scenic views.

[0058] 4, if PNN50 is equal to or greater than a reference value, the transmission determination unit 21c may determine to transmit the emotion probe information to the information analysis device 1. On the other hand, if PNN50 is smaller than the reference value, the transmission determination unit 21c may determine not to transmit the occupant emotion information to the information analysis device 1.

[0059] <Variation 2> In the second embodiment, the emotion probe information transmitted from the probe vehicle 2 to the information analysis device 1 includes occupant emotion information, vehicle position information, and date and time information, but is not limited to this. For example, the emotion probe information may include an emotion level in addition to these pieces of information. The road information generation unit 13b may then generate road information by associating the analysis results, map data, and the emotion level. According to this second modification, for example, if the emotion level is an emotion level of a negative emotion, the road information generation unit 13b can generate road information including an index of how dangerous road traffic is.

[0060] <Variation 3> In the second embodiment, the emotion probe information transmitted from the probe vehicle 2 to the information analysis device 1 includes occupant emotion information, vehicle position information, and date and time information, but is not limited to this. For example, in addition to these pieces of information, the emotion probe information may also include the speed of the probe vehicle 2, which is acquired at substantially the same time as the occupant emotion information. According to this third modification, the emotion probe information includes the speed of the probe vehicle 2, which can improve the accuracy of the determination in step S31 in FIG. 6, which is made based on the emotion probe information, for example.

[0061] <Variation 4> In the second embodiment, the emotion probe information transmitted from the probe vehicle 2 to the information analysis device 1 includes occupant emotion information, vehicle position information, and date and time information, but is not limited to this. For example, in addition to these pieces of information, the emotion probe information may also include, as vehicle surroundings information, information about the surroundings of the probe vehicle 2 that is acquired at substantially the same time as the occupant emotion information. The road information generation unit 13b may then generate road information by associating the above analysis results with map data and the vehicle surroundings information.

[0062] FIG. 7 is a block diagram showing an example of the configuration of a probe vehicle 2 according to Modification 4. The configuration of the probe vehicle 2 in FIG. 7 is the same as the configuration of the probe vehicle 2 in FIG. 3, with a vehicle periphery information detection device 26 added. The vehicle periphery information detection device 26 detects vehicle periphery information. The vehicle periphery information detection device 26 uses sensors such as a camera and LiDAR (light detection and ranging). According to Modification 4, the emotion probe information includes vehicle periphery information, so that the road information generation unit 13b, for example, can generate road information that can determine the situation occurring around the probe vehicle 2.

[0063] <Variation 5> In the second embodiment, the emotion probe information transmitted from the probe vehicle 2 to the information analysis device 1 includes occupant emotion information, vehicle position information, and date and time information, but is not limited to this. For example, in addition to these pieces of information, the emotion probe information may also include lane information that is acquired at substantially the same time as the occupant emotion information. The lane information is information about the lane in which the probe vehicle 2 is located. The road information generator 13b may then generate road information by associating the above analysis results with map data and the lane information. According to this fifth modification, since the emotion probe information includes lane information, it is possible to present road information on a lane basis with higher accuracy than on a road basis, or to create a near-miss map on a lane basis.

[0064] <Variation 6> In the second embodiment, the emotion probe information transmitted from the probe vehicle 2 to the information analysis device 1 includes occupant emotion information, vehicle position information, and date and time information, but is not limited to this. For example, in addition to these pieces of information, the emotion probe information may also include a map ID that identifies a map that includes the location indicated by the vehicle position information. Then, the road information generation unit 13b may generate road information by associating the above analysis results with the map data and the map ID.

[0065] FIG. 8 is a block diagram showing an example of the configuration of a probe vehicle 2 according to Modification 6. The configuration of the probe vehicle 2 in FIG. 8 is the same as the configuration of the probe vehicle 2 in FIG. 3, with a map data storage device 27 added. The map data storage device 27 stores maps with map IDs added thereto, and various types of memory are used, for example. According to Modification 6, the emotion probe information includes a map ID, which makes it easier to search for map data to be associated with analysis results, for example, and reduces the load of generating road information on the road information generation unit 13b.

[0066] <Variation 7> In the second embodiment, an example has been described in which the emotional level calculated by the emotion analysis unit 21b is PNN50, but this is not limiting. For example, the emotional level may be the LF / HF ratio or SDNN described in Japanese Patent Application Laid-Open No. 2018-126422, the PWTT described in Japanese Patent Application Laid-Open No. 2007-47846, the CvRR described in Japanese Patent Application Laid-Open No. 2019-209128, or the RR interval described in Japanese Patent Application Laid-Open No. 2021-118908.

[0067] <Variation 8> In the second embodiment, as shown in Fig. 5, after emotion probe information is received in step S21, the event analysis unit 13a immediately performs the analysis, but this is not limited to this. For example, the event analysis unit 13a may determine whether to immediately perform the analysis based on whether it is the right timing to perform the analysis.

[0068] Fig. 9 is a flowchart showing an example of the operation of the information analyzing device 1 according to Modification 8. The flowchart in Fig. 9 is the same as the flowchart in Fig. 5 with step S24 added, so step S24 will be mainly described.

[0069] After step S22, in step S24, the event analysis unit 13a determines whether it is time to perform analysis. This determination may be made, for example, based on whether a certain amount of time (e.g., 10 minutes) has passed since the previous analysis, or based on whether the number of pieces of unanalyzed emotion probe information exceeds a threshold (e.g., 100). If it is determined that it is time to perform analysis, the process proceeds to step S23, and if it is determined that it is not time to perform analysis, the process returns to step S21.

[0070] According to the present modification 8, the event analysis unit 13a determines whether to perform analysis based on whether it is the timing to perform analysis. As a result, analysis is selectively performed, which reduces the processing load on the event analysis unit 13a.

[0071] <Variation 9> As described above, in the second embodiment, after emotion probe information is received, the event analysis unit 13a immediately performs the analysis, but this is not limited to this. For example, the event analysis unit 13a may determine whether to immediately perform the analysis based on the occupant emotion information.

[0072] Fig. 10 is a flowchart showing an example of the operation of the information analyzing device 1 according to Modification 9. The flowchart in Fig. 10 is the same as the flowchart in Fig. 9 with step S25 added, so step S25 will be mainly described.

[0073] After step S22, in step S25, the event analysis unit 13a determines whether or not to immediately perform analysis based on the occupant emotion information. For example, if the occupant emotion information includes a negative emotion, the event analysis unit 13a may determine to immediately perform analysis, and if the occupant emotion information includes a positive emotion, the event analysis unit 13a may determine not to immediately perform analysis. If it is determined to immediately perform analysis, the process proceeds to step S23, and if it is determined not to immediately perform analysis, the process proceeds to step S24.

[0074] According to the present modified example 9, it is determined whether or not to immediately perform analysis based on the occupant emotion information. As a result, it is possible to reduce the processing load of the event analysis unit 13a and immediately generate road information when, for example, the occupant emotion information includes negative emotions.

[0075] <Modification 10> As described above, in the second embodiment, after emotion probe information is received, the event analysis unit 13a immediately performs the analysis, but this is not limited to this. For example, the event analysis unit 13a may determine whether to immediately perform the analysis based on the emotion level.

[0076] Fig. 11 is a flowchart showing an example of the operation of the information analyzing device 1 according to Modification 10. The flowchart in Fig. 11 is similar to the flowchart in Fig. 9 with step S26 added, so step S26 will be mainly described.

[0077] After step S22, in step S26, the event analysis unit 13a determines whether or not to perform analysis immediately based on the emotionality. For example, if the difference between the emotionality and the reference value is equal to or greater than a certain value, the event analysis unit 13a may determine to perform analysis immediately, and if the difference is smaller than the certain value, the event analysis unit 13a may determine not to perform analysis immediately. If it is determined to perform analysis immediately, the process proceeds to step S23, and if it is determined not to perform analysis immediately, the process proceeds to step S24.

[0078] According to the present modification 10, it is determined whether or not to immediately perform analysis based on the emotional level. As a result, it is possible to reduce the processing load on the event analysis unit 13a and immediately generate road information when, for example, the emotional level is significantly different from the reference value.

[0079] <Variation 11> 3 of the second embodiment, the sensor information input unit 21a, the emotion analysis unit 21b, and the transmission determination unit 21c are mounted on the probe vehicle 2, but this is not limiting. For example, at least one of the sensor information input unit 21a, the emotion analysis unit 21b, and the transmission determination unit 21c may be provided in the information analysis device 1.

[0080] For example, in a configuration in which the sensor information input unit 21a, the emotion analysis unit 21b, and the transmission determination unit 21c are all provided in the information analysis device 1, the information analysis device 1 may receive occupant biometric information, vehicle position information, and date and time information from the probe vehicle 2. For example, in a configuration in which the transmission determination unit 21c is provided in the information analysis device 1, the information analysis device 1 may receive occupant emotion information, vehicle position information, and date and time information from the probe vehicle 2, or may receive occupant emotion information, vehicle position information, date and time information, and an emotion level from the probe vehicle 2. When the information analysis device 1 receives an emotion level from the probe vehicle 2, the transmission determination unit 21c provided in the information analysis device 1 may determine whether to generate emotion probe information based on the emotion level.

[0081] <Third Embodiment> In the second embodiment, the analysis of occupant biometric information, the transmission and analysis of emotion probe information, and the generation of road information were described. In the third embodiment, as will be described below, after the road information is generated, the road information can be transmitted from the information analysis device 1 to an information destination vehicle 3, and the road information can be presented to the occupant in the information destination vehicle 3.

[0082] 12 is a block diagram showing an example of the configuration of the information analysis device 1 according to the present embodiment 3. In the following, among the components according to the present embodiment 3, components that are the same as or similar to the components described above are given the same or similar reference numerals, and different components will be mainly described.

[0083] The configuration of the information analysis device 1 in Fig. 12 is the same as the configuration of the information analysis device 1 in Fig. 2, with the addition of a road information output unit 13c included in the concept of the control unit 13 in Fig. 1. The road information output unit 13c is capable of communicating with the information destination vehicle 3, and transmits road information to the information destination vehicle 3.

[0084] The information destination vehicle 3 is provided with a presentation device 31. The presentation device 31 presents the road information transmitted from the information analysis device 1. The presentation device 31 presents the location or area where a specific emotion occurred, for example, by an animation display or a pop-up display on a map, or by a voice notification.

[0085] In other words, the road information output unit 13c controls the presentation device 31 to present the road information. This allows the occupants of the information destination vehicle 3 to check the presented road information. The information destination vehicle 3 may be the probe vehicle 2 or a vehicle other than the probe vehicle 2.

[0086] <Operation> FIG. 13 is a flowchart showing an example of the operation of the information analyzing device 1 according to the third embodiment.

[0087] In step S41, the road information output unit 13c determines whether it is time to transmit road information. This determination may be made, for example, based on whether a certain time (e.g., 10 minutes) has passed since the previous transmission, or based on whether the number of pieces of road information that have not yet been transmitted exceeds a threshold (e.g., 100). If it is determined that it is time to transmit road information, the process proceeds to step S42, and if it is determined that it is not time to transmit road information, the process of step S41 is performed again.

[0088] In step S42, the road information output unit 13c transmits the road information to the information distribution destination vehicle 3 by broadcasting.

[0089] FIG. 14 is a flowchart showing an example of the operation of the information destination vehicle 3 according to the third embodiment.

[0090] In step S51, the information destination vehicle 3 determines whether or not it has received road information from the information analysis device 1. If it is determined that it has received road information, the process proceeds to step S52, and if it is determined that it has not received road information, the process of step S51 is performed again.

[0091] In step S52, the information destination vehicle 3 determines whether or not the specific emotion indicated in the received road information is occurring in the vicinity of the information destination vehicle 3. For example, if the distance between the information destination vehicle 3 and the point or area where the specific emotion indicated in the road information occurred is within a certain distance (for example, 5 km), the information destination vehicle 3 determines that the specific emotion is occurring in the vicinity of the information destination vehicle 3.

[0092] If it is determined that the specific emotion has occurred in the vicinity of the information destination vehicle 3, the process proceeds to step S53, and if it is determined that the specific emotion has not occurred in the vicinity of the information destination vehicle 3, the process returns to step S51.

[0093] In step S53, the presentation device 31 of the information destination vehicle 3 presents the received road information to the occupant.

[0094] In step S54, it is determined whether the presentation device 31 is operating. If it is determined that the presentation device 31 is operating, the process returns to step S51, and if it is determined that the presentation device 31 is not operating, the operation in FIG. 14 ends.

[0095] <Summary of the Third Embodiment> According to the information analysis device 1 of the third embodiment as described above, the road information is controlled to be presented by the presentation device 31, so that the user of the presentation device 31 can check the presented road information. Note that the presentation device 31 may be provided in a communication terminal of a pedestrian, instead of in the information destination vehicle 3.

[0096] <Variation 1> In the third embodiment, the event analysis unit 13a may analyze whether the occupant repeatedly experiences a specific emotion during a predetermined time period. The predetermined time period is, for example, a time period obtained by dividing a day into three-hour intervals, and includes the following time periods: from midnight to 3:00, from 3:00 to 6:00, from 6:00 to 9:00, from 9:00 to 12:00, from 12:00 to 15:00, from 15:00 to 18:00, from 18:00 to 21:00, and from 21:00 to 24:00. Furthermore, the road information output unit 13c may transmit road information, and ultimately control the presentation of road information, based on the analysis result of whether the occupant repeatedly experiences a specific emotion during a predetermined time period.

[0097] Fig. 15 is a flowchart showing an example of the operation of the event analysis unit 13a and the road information generation unit 13b according to Modification 1. The flowchart in Fig. 15 is similar to the flowchart in Fig. 6, except that step S33 is deleted and steps S36 to S38 and steps S41 to S43 are added. Therefore, the following description will mainly focus on steps S36 to S38 and steps S41 to S43.

[0098] After step S32, in step S36, the event analysis unit 13a determines whether the occupant repeatedly felt the specific emotion during a certain time period, for a specific emotion that occurred temporarily or repeatedly at a certain location. For example, if the specific emotion occurred three or more times during a certain time period in the past ten days, the event analysis unit 13a determines that the occupant repeatedly felt the specific emotion during a certain time period at a certain location.

[0099] If it is determined that the occupant repeatedly had a specific emotion in any time period at a certain location, the process proceeds to step S37. On the other hand, if it is determined that the occupant did not repeatedly have a specific emotion in any time period at a certain location, the process proceeds to step S38. In the following description, a time period in which it is determined that the occupant repeatedly had a specific emotion at a certain location may also be referred to as a specific time period.

[0100] In step S37, the road information generation unit 13b generates a database of static road information by associating various pieces of emotion probe information, which have been determined to indicate that an occupant repeatedly had a specific emotion during a specific time period at a certain location, with map data.

[0101] After step S37, in step S43, the road information output unit 13c determines whether the current time is within the specific time period. If it is determined that the current time is within the specific time period, the process proceeds to step S42, and if it is determined that the current time is not within the specific time period, the process returns to step S31.

[0102] In step S38, the road information generation unit 13b generates a database of static road information by associating various pieces of emotion probe information, which have been determined to indicate that an occupant at a certain point did not repeatedly have a specific emotion during a specific time period, with map data.

[0103] After each of steps S34, S35, and S38, in step S41, the road information output unit 13c determines whether it is time to transmit the road information, similar to step S41 in Fig. 13. If it is determined that it is time to transmit the road information, the process proceeds to step S42, and if it is determined that it is not time to transmit the road information, the process returns to step S31.

[0104] 13, in step S42, the road information output unit 13c broadcasts the road information to the information destination vehicle 3. When the processing of step S42 is performed after the processing of step S43, the road information may be presented in an emphasized manner.

[0105] According to the above-described first modification, when it is determined that the occupant repeatedly has a specific emotion during a specific time period at a certain location, the road information output unit 13c controls the presentation device 31 to present road information based on whether the current time falls within that time period. On the other hand, when it is determined that the occupant does not repeatedly have a specific emotion during a specific time period at a certain location, the road information output unit 13c controls the presentation device 31 to present road information regardless of whether the current time falls within that time period.

[0106] This allows for the information that is relatively likely to cause a specific emotion to be presented separately from the information that always causes a specific emotion (i.e., mapped information), thereby reducing the amount of information presented to the occupant and preventing excessive information from being presented to the occupant.

[0107] <Variation 2> In the third embodiment, the road information output unit 13c transmits road information uniformly and periodically, but this is not limited to this. For example, the transmission of road information and therefore the control of presentation of road information may be performed instantly based on occupant emotion information.

[0108] FIG. 16 is a flowchart showing an example of the operation of the information analysis device 1 according to the second modification.

[0109] In step S44, the road information output unit 13c makes a determination similar to the determination in step S31 by the event analysis unit 13a in Fig. 6. That is, the road information output unit 13c determines, based on the accumulated emotion probe information, whether the probe vehicle moved continuously over time while the occupant had a specific emotion.

[0110] If it is determined that the probe vehicle has continuously moved over time while the occupant has a particular emotion, the process proceeds to step S42; otherwise, the process proceeds to step S45.

[0111] In step S45, the road information output unit 13c makes a determination similar to the determination in step S32 by the event analysis unit 13a in Fig. 6. That is, the road information output unit 13c determines whether the occupant repeatedly had a specific emotion at a certain point based on the accumulated emotion probe information. If it is determined that the occupant repeatedly had a specific emotion at a certain point, the process proceeds to step S41. If it is determined that the occupant did not repeatedly have a specific emotion at a certain point, the process proceeds to step S42.

[0112] In step S41, the road information output unit 13c determines whether it is time to transmit the road information, similar to step S41 in Fig. 13. If it is determined that it is time to transmit the road information, the process proceeds to step S42, and if it is determined that it is not time to transmit the road information, the process returns to step S44.

[0113] In step S42, similarly to step S42 in FIG. 13, the road information output unit 13c transmits the road information to the information distribution destination vehicle 3 by broadcasting.

[0114] According to the second modification, the amount of communication traffic can be reduced. Also, since information that should be presented in real time can be presented immediately, road information can be presented to the occupants efficiently. Note that, in FIG. 16, either step S44 or step S45 may be deleted.

[0115] <Variation 3> In the third embodiment, the road information output unit 13c transmits road information uniformly and periodically, but this is not limited to this. For example, the transmission of road information and therefore the control of presentation of road information may be performed instantly based on occupant emotion information.

[0116] FIG. 17 is a flowchart showing an example of the operation of the information analyzing device 1 according to the third modification.

[0117] In step S46, the road information output unit 13c determines whether or not to immediately transmit the road information based on the occupant emotion information. For example, if the occupant emotion information includes a negative emotion, the road information output unit 13c may determine to immediately transmit the road information, and if the occupant emotion information includes a positive emotion, the road information output unit 13c may determine not to immediately transmit the road information. If it is determined to immediately transmit the road information, the process proceeds to step S42, and if it is determined not to immediately transmit the road information, the process proceeds to step S41.

[0118] In step S41, the road information output unit 13c determines whether it is time to transmit road information, similar to step S41 in Fig. 13. If it is determined that it is time to transmit road information, the process proceeds to step S42, and if it is determined that it is not time to transmit road information, the process returns to step S46.

[0119] In step S42, similarly to step S42 in FIG. 13, the road information output unit 13c transmits the road information to the information distribution destination vehicle 3 by broadcasting.

[0120] According to Modification 3, it is possible to reduce the amount of communication traffic. Also, for example, when the occupant emotion information includes a negative emotion, it is possible to immediately present road information to the occupant, so that road information can be presented to the occupant efficiently.

[0121] <Variation 4> In the third embodiment, the road information output unit 13c transmits road information uniformly and periodically, but this is not limited to this. For example, the transmission of road information, and ultimately the presentation control of road information, may be performed instantly based on the emotional level.

[0122] FIG. 18 is a flowchart showing an example of the operation of the information analyzing device 1 according to the fourth modification.

[0123] In step S47, the road information output unit 13c determines whether or not to immediately transmit the road information based on the emotionality. For example, if the difference between the emotionality and the reference value is equal to or greater than a certain value, the road information output unit 13c may determine to immediately transmit the road information, and if the difference is smaller than the certain value, the road information output unit 13c may determine not to immediately transmit the road information. If it is determined to immediately transmit the road information, the process proceeds to step S42, and if it is determined not to immediately transmit the road information, the process proceeds to step S41.

[0124] In step S41, the road information output unit 13c determines whether it is time to transmit the road information, similar to step S41 in Fig. 13. If it is determined that it is time to transmit the road information, the process proceeds to step S42, and if it is determined that it is not time to transmit the road information, the process returns to step S47.

[0125] In step S42, similarly to step S42 in FIG. 13, the road information output unit 13c transmits the road information to the information distribution destination vehicle 3 by broadcasting.

[0126] According to the fourth modification, the amount of communication can be reduced. Also, for example, when the emotional level is significantly different from the reference value, road information can be presented immediately, so that road information can be presented to the occupants efficiently.

[0127] <Variation 5> In the third embodiment, road information is periodically transmitted from the road information output unit 13c to the information destination vehicle 3, but the present invention is not limited to this. For example, the information destination vehicle 3 may request the information analysis device 1 to transmit road information. Then, when a request for transmission of road information is received from the information destination vehicle 3, the information analysis device 1 may immediately transmit the road information to the information destination vehicle 3. According to the fifth modification, the occupant of the information destination vehicle 3 can receive road information whenever he or she wishes to receive it.

[0128] <Variation 6> In embodiment 3, when the occupant of the information distribution destination vehicle 3 sets a destination and route guidance is being performed, the presentation device 31 may suggest a route change based on the road information transmitted from the information analysis device 1.

[0129] Fig. 19 is a flowchart showing an example of the operation of the information destination vehicle 3 according to Modification 6. The flowchart in Fig. 19 is similar to the flowchart in Fig. 14, except that step S53 is deleted and steps S55 to S58 are added. Therefore, steps S55 to S58 will be mainly described below.

[0130] If it is determined in step S52 that a specific emotion is occurring in the vicinity of the information distribution destination vehicle 3, the process proceeds to step S55.

[0131] In step S55, the presentation device 31 proposes a route change. As a route change proposal, the presentation device 31 presents a proposed route, for example, by an animation display or a pop-up display on a map, an audio notification, etc. The proposed route includes, for example, a route that does not pass through roads that generate negative emotions, or a route that passes through roads that generate positive emotions.

[0132] In step S56, the presentation device 31 determines whether or not an instruction to apply the proposed route has been received from the occupant. If it is determined that an instruction to apply the proposed route has been received, the process proceeds to step S57, and if it is determined that an instruction to apply the proposed route has not been received, the process proceeds to step S58.

[0133] In step S57, the presentation device 31 provides route guidance along the proposed route, after which the process proceeds to step S54.

[0134] In step S58, the presentation device 31 determines whether a certain time has elapsed since the processing of step S55, or whether the information destination vehicle 3 has traveled a certain distance since the processing of step S55. The certain time is, for example, 10 minutes. The certain distance is, for example, 10 km.

[0135] If it is determined that a certain time has elapsed or that the information destination vehicle 3 has traveled a certain distance, the process returns to step S51, otherwise the process of step S58 is performed again. Note that if it is determined that the information destination vehicle 3 has traveled a certain distance, the process may proceed to step S54 instead of step S51.

[0136] According to this variant example 6, the occupants of the information delivery destination vehicle 3 can know appropriate routes, such as routes that avoid roads that evoke negative emotions, and routes that pass through roads that evoke positive emotions, without having to think about it themselves.

[0137] <Other variations> The acquisition unit 11 and control unit 13 in FIG. 1 described above will be referred to as the "acquisition unit 11, etc." The acquisition unit 11, etc., are implemented by a processing circuit 81 shown in FIG. 20. Specifically, the processing circuit 81 includes the acquisition unit 11, which acquires occupant emotion information including the emotions of the vehicle occupants and emotion probe information including vehicle position information and date and time information related to the occupant emotion information, and the control unit 13, which analyzes, based on the emotion probe information stored in the memory unit 12, whether the vehicle has continuously moved over time while the occupant has had a specific emotion and whether the occupant has had the specific emotion temporarily or repeatedly at a certain point, and associates the analysis results obtained thereby with map data to generate road information. The processing circuit 81 may be implemented by dedicated hardware, or may be implemented by a processor that executes a program stored in a memory. Examples of the processor include a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a DSP (Digital Signal Processor).

[0138] When the processing circuit 81 is dedicated hardware, the processing circuit 81 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. The functions of each unit such as the acquisition unit 11 may be realized by a circuit in which processing circuits are distributed, or the functions of each unit may be realized by a single processing circuit.

[0139] When the processing circuit 81 is a processor, the functions of the acquisition unit 11 and the like are realized in combination with software and the like. The software and the like may include, for example, software, firmware, or both software and firmware. The software and the like are written as a program and stored in a memory. As shown in FIG. 21 , the processor 82 applied to the processing circuit 81 realizes the functions of each unit by reading and executing a program stored in a memory 83. That is, the information analysis device 1 includes a memory 83 for storing a program that, when executed by the processing circuit 81, results in the following steps: acquiring occupant emotion information including the emotions of the vehicle occupants and emotion probe information including vehicle position information and date and time information related to the occupant emotion information; accumulating the acquired emotion probe information; and analyzing, based on the accumulated emotion probe information, whether the vehicle moved continuously over time while the occupant had a specific emotion and whether the occupant had the specific emotion temporarily or repeatedly at a certain point, and associating the analysis result obtained thereby with map data to generate road information. In other words, this program can be said to cause a computer to execute the procedures and methods of the acquisition unit 11, etc. Here, the memory 83 may be, for example, a non-volatile or volatile semiconductor memory such as a random access memory (RAM), a read-only memory (ROM), a flash memory, an erasable programmable read-only memory (EPROM), or an electrically erasable programmable read-only memory (EEPROM), a hard disk drive (HDD), a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, a digital versatile disk (DVD), a drive device for any of these, or any storage medium to be used in the future.

[0140] The above describes a configuration in which each function of the acquisition unit 11, etc. is realized either by hardware or software, etc. However, this is not limiting, and a configuration in which part of the acquisition unit 11, etc. is realized by dedicated hardware and another part is realized by software, etc. For example, the functions of the acquisition unit 11 can be realized by acquisition circuitry such as a processing circuit 81 and an interface as dedicated hardware, and the functions of the other units can be realized by the processing circuit 81 as a processor 82 reading and executing a program stored in a memory 83.

[0141] As described above, the processing circuitry 81 can realize the above-mentioned functions by hardware, software, or a combination of these.

[0142] The information analysis device described above can also be applied to an information analysis system constructed as a system by appropriately combining vehicle devices such as a portable navigation device (PND), a navigation device, and a DMS, communication terminals including mobile terminals such as mobile phones, smartphones, and tablets, application functions installed in at least one of the vehicle devices and the communication terminals, and a server. In this case, the functions or components of the information analysis device described above may be distributed among the devices that construct the system, or may be concentrated in one of the devices.

[0143] It should be noted that the embodiments and modifications may be freely combined, and the embodiments and modifications may be modified or omitted as appropriate.

[0144] The above description is illustrative in all respects and is not restrictive. It is understood that countless variations not illustrated can be envisioned. [Explanation of symbols]

[0145] 1 information analysis device, 2 probe vehicle, 11 acquisition unit, 12 memory unit, 13 control unit, 31 presentation device

Claims

1. an acquisition unit that acquires occupant emotion information including emotions of occupants of a vehicle and emotion probe information including location information and date and time information of the vehicle related to the occupant emotion information; a storage unit that stores the emotion probe information acquired by the acquisition unit; a control unit that analyzes, based on the emotion probe information stored in the storage unit, whether the vehicle has continuously moved over time while the occupant has had a specific emotion, and whether the occupant has had the specific emotion temporarily or repeatedly at a certain point, and associates the analysis result obtained thereby with map data to generate road information; and Equipped with The road information is information that can identify, in the map data, the range over which the vehicle moved continuously over time while the occupant had the specific emotion, points where the occupant only had the specific emotion temporarily, and points where the occupant repeatedly had the specific emotion.

2. The information analysis device according to claim 1 , The occupant emotion information is generated based on biological information of the occupant.

3. 3. The information analysis device according to claim 1, The information analysis device, wherein the emotions include negative emotions of the occupants.

4. The information analysis device according to claim 1 , An information analysis device wherein an emotion level, which is a degree of the emotion of the occupant, is generated based on biological information of the occupant.

5. The information analysis device according to claim 4, An information analysis device that determines whether or not to perform the analysis based on the emotional level.

6. 3. The information analysis device according to claim 1, The emotion probe information includes: The vehicle information processing device further includes lane information, which is information about a lane in which the vehicle is located, related to the occupant emotion information, The control unit an information analysis device that generates the road information by associating the analysis result, the map data, and the lane information;

7. 3. The information analysis device according to claim 1, The control unit controls a presentation device to present the road information.

8. An acquisition unit that acquires occupant emotion information including emotions of occupants of a vehicle and emotion probe information including location information and date and time information of the vehicle related to the occupant emotion information; a storage unit that stores the emotion probe information acquired by the acquisition unit; a control unit that analyzes, based on the emotion probe information stored in the storage unit, whether the vehicle has continuously moved over time while the occupant has had a specific emotion, and whether the occupant has had the specific emotion temporarily or repeatedly at a certain point, and associates the analysis result obtained thereby with map data to generate road information; and Equipped with The control unit When it is determined that the occupant repeatedly has the specific emotion during a predetermined time period at the location, control is performed to cause a presentation device to present the road information based on whether or not the current time is included in the time period; If it is determined that the occupant does not repeatedly have the specific emotion during the time period at the location, the information analysis device controls the presentation device to present the road information regardless of whether the current time is included in the time period.

9. An acquisition unit acquires occupant emotion information including emotions of occupants of a vehicle, and emotion probe information including location information and date and time information of the vehicle related to the occupant emotion information, a storage unit that stores the acquired emotion probe information; a control unit, based on the accumulated emotion probe information, analyzing whether the vehicle has continuously moved over time while the occupant has had a specific emotion, and whether the occupant has had the specific emotion temporarily or repeatedly at a certain point, and generating road information by associating the analysis result obtained thereby with map data; an information analysis method, wherein the road information is information that can identify, in the map data, a range over which the vehicle moved continuously over time while the occupant had the specific emotion, a location where the occupant only had the specific emotion temporarily, and a location where the occupant repeatedly had the specific emotion.

10. An acquisition unit acquires occupant emotion information including emotions of occupants of a vehicle, and emotion probe information including location information and date and time information of the vehicle related to the occupant emotion information, a storage unit that stores the acquired emotion probe information; a control unit, based on the accumulated emotion probe information, analyzing whether the vehicle has continuously moved over time while the occupant has had a specific emotion, and whether the occupant has had the specific emotion temporarily or repeatedly at a certain point, and generating road information by associating the analysis result obtained thereby with map data; The control unit When it is determined that the occupant repeatedly has the specific emotion during a predetermined time period at the location, control is performed to cause a presentation device to present the road information based on whether or not the current time is included in the time period; An information analysis method in which, if it is determined that the occupant at the location does not repeatedly have the specific emotion during the time period, control is performed to cause the presentation device to present the road information regardless of whether the current time is included in the time period.

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