Proposal System

Abstract

In a proposal system that makes suggestions to passengers of a mobile vehicle, the system makes suggestions based on the passengers' impressions of the proposal system itself. [Solution] The proposal system S, which makes proposals to a passenger U of a vehicle V as a mobile object, comprises a proposal unit 112 that proposes a mobile object operation to the passenger U that can be accepted or rejected by the passenger U and executed by the vehicle V, and an estimation unit 111 that estimates the passenger U's personal characteristics C0, including a confidence level C1 with the passenger U and the passenger U's level of interest C2 in the proposal, based on the passenger U's response to the proposal from the proposal unit 112, and the proposal unit 112 controls the proposal of mobile object operation based on the confidence level C1 and the level of interest C2.

Description

Technical Field

[0005] , , ,

[0001] The present disclosure relates to a proposal system that makes proposals to passengers of a moving body regarding the operation of the moving body and the like.

Background Art

[0002] Patent Document 1 discloses a proposal device as an example of a proposal system. This proposal device includes an emotional state determination means, a target emotional state determination means, and a presentation target determination means. The emotional state determination means determines the emotional state of a vehicle occupant. The target emotional state determination means determines the target emotional state of the vehicle occupant based on the emotional state and the like. The presentation target determination means determines the target to be presented to the vehicle occupant based on the target emotional state and the like.

[0003] Patent Document 2 discloses a vehicle control system as another example of a proposal system. This vehicle control system includes an acquisition unit, a prediction unit, and a control unit. The acquisition unit acquires vehicle information and biometric information of a target person. The prediction unit predicts the state of the target person based on the vehicle information and ecological information of the target person and a state prediction model constructed in advance. The control unit controls the vehicle according to the state of the target person predicted by the prediction unit.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

[0006] On the other hand, the destination suggestion system disclosed in Patent Document 1 is configured to make suggestions based on the driver's feelings towards potential destinations, but it is not configured to make suggestions based on the driver's feelings towards the destination suggestion system itself.

[0007] This disclosure is made in view of the above, and its purpose is to provide a proposal system that makes suggestions to passengers of a mobile vehicle, based on the passenger's impression of the proposal system itself. [Means for solving the problem]

[0008] A first aspect of this disclosure relates to a proposal system for making suggestions to a passenger of a mobile vehicle. The proposal system includes a proposal unit that proposes to the passenger a mobile vehicle operation that the passenger can accept or reject and that the mobile vehicle will perform, and an estimation unit that acquires the passenger's personal characteristics, including a degree of trust with the passenger and the passenger's degree of interest in the proposal, based on the passenger's response to the proposal from the proposal unit, wherein the proposal unit controls the proposal of the mobile vehicle operation based on the degree of trust and the degree of interest in the personal characteristics.

[0009] According to the first embodiment described above, the suggestion unit controls the suggestion of mobile vehicle operation based on the passenger's level of trust and interest. By referring to the level of trust and interest, it is possible to make suggestions based on the passenger's impression of the suggestion system. This makes it possible to make more appropriate suggestions to various passengers.

[0010] Furthermore, according to a second aspect of this disclosure, the estimation unit may determine the level of interest based on the passenger's behavioral change stages, which are represented by a plurality of stages, and the proposal unit may control the proposal of the mobile vehicle's movement according to the stage of the behavioral change.

[0011] According to the second embodiment described above, by using stages of behavioral change, the level of interest of the passengers can be appropriately handled. By appropriately handling the level of interest, proposals based on the passengers' impressions can be made more appropriately.

[0012] Furthermore, according to a third aspect of this disclosure, the suggestion unit may propose to the passenger one or more of the following as the operation of the mobile body: sound control of the mobile body, lighting control of the mobile body, and air conditioning control of the mobile body.

[0013] According to the third embodiment described above, the proposed unit proposes a wide range of mobile body operations, including sound control, lighting control, and air conditioning control. This improves user convenience.

[0014] Furthermore, according to a fourth aspect of this disclosure, the operation suggestion unit may suggest acoustic control of the mobile body as the operation of the mobile body, and the suggestion unit may, when the reliability is high, reduce the number of song options to suggest to the passenger compared to when the reliability is low.

[0015] According to the fourth embodiment described above, when the reliability is high, the number of options is reduced. This makes it possible to make suggestions tailored to the individual passenger and to increase the frequency of suggestions being adopted. As a result, suggestions based on the passenger's perception can be made more appropriately.

[0016] Furthermore, according to a fifth aspect of this disclosure, the suggestion unit may perform the following actions based on the level of reliability: determine whether or not to suggest playing a playlist consisting of multiple songs, and adjust the number of songs that make up the playlist.

[0017] According to the fifth embodiment described above, for example, when the reliability is low, it is considered unlikely that the suggested playlist will be adopted. Also, when the reliability is low, the songs that make up the playlist are also considered unlikely to be reliable. Therefore, the suggestion unit uses different processing related to the playlist depending on the reliability. By doing so, it is possible to make suggestions more appropriately based on the passenger's impression.

[0018] Furthermore, according to a sixth aspect of this disclosure, the proposed system may include an interactive terminal mounted on the mobile body and a storage unit arranged inside or outside the mobile body to store the content of the conversation between the passenger and the terminal, the estimation unit estimates preference characteristics that characterize the passenger's preferences based on the contents stored in the storage unit, and the proposal unit, when the reliability is high, reflects the passenger's preference characteristics more significantly in the proposal of mobile body operation compared to when the reliability is low.

[0019] According to the sixth embodiment described above, when the reliability is low, the suggestion unit makes more general suggestions that are not tailored to individual passengers. This allows for suggestions from a wider range of perspectives, and increases the frequency of suggestions being adopted, even by passengers who are averse to AI. It also allows for more appropriate suggestions based on the passenger's perception.

[0020] Furthermore, according to a seventh aspect of this disclosure, the proposed system comprises an interactive terminal mounted on the mobile body, a biometric information detection unit mounted on the mobile body for detecting the passenger's biometric information, and a movement information detection unit for detecting movement information that characterizes the characteristics of the mobile body itself and the movement status of the mobile body, wherein the estimation unit acquires the purpose of boarding the mobile body and the passenger's mental and physical state, including emotions, based on at least one of the content of the conversation with the passenger via the terminal, the biometric information detected by the biometric information detection unit, and the movement information detected by the movement information detection unit, and the proposal unit controls the proposal of the mobile body's operation by referring to the purpose of boarding and the mental and physical state in addition to the reliability and interest levels.

[0021] According to the seventh aspect, the proposal unit controls the proposal of the mobile body operation based on the boarding purpose of the passenger. By referring to the boarding purpose, a proposal suitable for the boarding purpose can be made.

[0022] Furthermore, according to the seventh aspect, the proposal unit controls the proposal of the mobile body operation by referring to the mental and physical state in addition to the boarding purpose of the passenger. By referring to the mental and physical state, proposals from more aspects considering two variables of the boarding purpose and the mental and physical state can be made.

[0023] Also, according to the eighth aspect of the present disclosure, the proposal unit proposes the acoustic control of the mobile body as the mobile body operation, and the proposal unit may change one or more of the genre of the music played in the mobile body, the track of the music, and the volume of the music according to the boarding purpose or the mental and physical state.

[0024] According to the eighth aspect, the sound can be finely controlled based on the mental state of the passenger.

[0025] Also, according to the ninth aspect of the present disclosure, the proposal unit may vary the necessity of the proposal of the mobile body operation according to the degree of interest.

[0026] According to the ninth aspect, an acoustic control based on the mental state of the passenger can be proposed.

[0027] Also, according to the tenth aspect of the present disclosure, the proposal system includes an interactive terminal mounted on the mobile body and a storage unit disposed inside and outside the mobile body for storing the dialogue content between the passenger and the terminal. The estimation unit estimates the preference characteristics characterizing the passenger's preference based on the stored content of the storage unit, and the proposal unit may reflect the passenger's preference characteristics in the proposal of the mobile body operation based on the degree of interest.

[0028] According to the tenth embodiment described above, for example, when a passenger is in a maintenance phase, the suggestion unit makes more general suggestions that are configured not to excessively reflect the passenger's preferences. In this way, suggestions that are not tailored to the individual passenger, i.e., suggestions from a wider range of perspectives, can be made. As a result, even passengers who are growing tired of the suggestions from the suggestion unit can maintain their interest. Suggestions based on the passenger's feelings can be made more appropriately.

[0029] Furthermore, according to an eleventh aspect of this disclosure, the proposed system may include an interactive terminal mounted on the mobile body and a storage unit located inside or outside the mobile body that stores the content of conversations between the passenger and the terminal between the passenger and other user groups, the estimation unit quantifies and estimates the passenger's uniqueness in deciding whether to accept or reject a proposal from the proposal unit based on the contents stored in the storage unit, and the proposal unit controls the proposal for the operation of the mobile body by referring to the uniqueness in addition to the reliability and interest level.

[0030] According to the 11th embodiment described above, for example, by differentiating the content of proposals for passengers with strong individuality in their decision-making process and those with weaker individuality, it becomes possible to offer proposals from a wider range of perspectives. As a result, more appropriate proposals can be offered even to passengers who do not frequently adopt proposals aimed at the general public.

[0031] Furthermore, according to a twelfth aspect of this disclosure, the estimation unit may estimate the passenger's preferences based on the contents of the memory unit, and the suggestion unit may, when the originality is high, reflect the passenger's preferences more strongly in the suggestion of the movement of the mobile body compared to when the originality is low.

[0032] According to the 12th embodiment described above, for example, the degree to which preference characteristics are reflected differs between passengers with strong individuality in their acceptance / rejection decisions and those with weaker individuality. This allows for a wider range of suggestions to be made. As a result, more appropriate suggestions can be made even to passengers who do not frequently adopt suggestions aimed at the general public. [Effects of the Invention]

[0033] As explained above, according to this disclosure, a proposal system that makes proposals to passengers of a moving vehicle can make proposals based on the passenger's impression of the proposal system itself. [Brief explanation of the drawing]

[0034] [Figure 1] Figure 1 is a schematic diagram illustrating the proposed system. [Figure 2] Figure 2 is a block diagram showing an example configuration of an in-vehicle system. [Figure 3A] Figure 3A is a schematic diagram illustrating the input and output of the proposed system. [Figure 3B] Figure 3B is a schematic diagram illustrating the screen display in the proposed system. [Figure 4] Figure 4 is a schematic diagram illustrating an example of the target of estimation by the estimation unit. [Figure 5] Figure 5 is a diagram illustrating the confidence estimation method. [Figure 6] Figure 6 is a flowchart illustrating the procedure for estimating the level of interest. [Figure 7] Figure 7 is a diagram illustrating the method for estimating uniqueness. [Figure 8] Figure 8 is a flowchart illustrating the procedure for estimating uniqueness. [Figure 9] Figure 9 is a schematic diagram illustrating an example of a control target by the proposed unit. [Figure 10] Figure 10 is a schematic diagram illustrating the control content provided by the proposed unit. [Modes for carrying out the invention]

[0035] The embodiments of this disclosure will be described below with reference to the drawings. Note that the following description is illustrative.

[0036] <1. Proposed System> Figure 1 is a system diagram illustrating the proposed system S according to this embodiment. Figure 2 is a block diagram showing an example configuration of the in-vehicle system 1. Figure 3A is a schematic diagram illustrating the input and output in the proposed system S. Figure 3B is a schematic diagram illustrating the display screen Sc of terminal 11.

[0037] (1-1. Overall Structure) As illustrated in Figure 1, the proposed system S according to this embodiment is a system that makes suggestions to the occupant U of a vehicle V as a moving object. The suggestions made by the system S include suggestions for occupant actions to be performed by the occupant U themselves, and suggestions for moving object actions that can be accepted or rejected by the occupant U and executed by the vehicle V. These suggestions are made by a suggestion unit 112, which will be described later.

[0038] The occupant's actions include the act of traveling to a predetermined destination Lp. The proposed travel action includes, for example, the proposal of a specific destination Lp and the proposal of a travel route Tp to said destination Lp, as illustrated in Figure 3B. The act of traveling to the destination Lp may be performed by the passenger U driving the vehicle V, or by the passenger U allowing the vehicle V to be driven automatically.

[0039] Here, the term "destination Lp" is used in a broad sense. That is, in this embodiment, destination Lp may be a specific point such as a building, or it may be an entire region including that specific point (so to speak, the target area). Furthermore, the term destination Lp includes events held at a specific location (for example, tourist events).

[0040] The operation of the mobile vehicle includes sound control of vehicle V, lighting control of vehicle V, and air conditioning control of vehicle V. The proposed sound control includes setting the sound equipment 123 and proposing the operation of the sound equipment 123 based on that setting. In addition, the proposed lighting control includes setting the lighting equipment 121 and proposing the operation of the lighting equipment 121 based on that setting. The setting of lighting equipment 121 includes setting the light intensity of the lighting. The proposed air conditioning control includes setting the air conditioning equipment 122 and proposing the operation of the air conditioning equipment 122 based on that setting. The setting of air conditioning equipment 122 includes setting the set temperature, airflow rate, and airflow direction.

[0041] Here, the term "passenger U" includes not only the driver of vehicle V but also any passengers in vehicle V. Hereafter, suggestions for passenger actions may be referred to as "action suggestions," and suggestions for vehicle movement may be referred to as "movement suggestions." Details of action suggestions and movement suggestions will be described later.

[0042] Furthermore, the vehicle V, as a mobile unit, may be an automobile using an internal combustion engine as its power unit, an electric vehicle using an electric motor, or a hybrid vehicle using both an internal combustion engine and an electric motor. The fuel used in the internal combustion engine may include any fuel, such as gasoline, diesel fuel, hydrogen gas, and other gaseous fuels. In this embodiment, vehicle V is a four-wheel drive vehicle.

[0043] As shown in Figure 1, the proposed system S comprises an in-vehicle system 1 mounted on a vehicle V, and an external server 1000 connected to the in-vehicle system 1 via a cloud network N1.

[0044] Here, as shown in Figure 2, the in-vehicle system 1 includes an in-vehicle device 10, an in-vehicle computer 100, and an in-vehicle database 200. The in-vehicle device 10 is electrically connected to the in-vehicle computer 100 and the in-vehicle database 200 via an in-vehicle network.

[0045] The in-vehicle device 10 includes a terminal 11, a vehicle control device 12, a biometric information detection device 13, and a movement information detection device 14. All of these devices are mounted on the vehicle V.

[0046] (1-2. Terminal) Terminal 11 notifies passenger U of the proposal from the proposal unit 112. More specifically, terminal 11 has both an action suggestion notification function and an action suggestion notification function. Furthermore, terminal 11 also has a function to present questionnaires to passenger U.

[0047] Specifically, the terminal 11 according to this embodiment is composed of a display such as a liquid crystal panel or an organic EL panel, and a speaker. This terminal 11 can also be considered a notification unit that notifies the passenger U by visualizing the proposed content from the proposal unit 112 and displaying it on the display screen Scr. The terminal 11 can also be considered a notification unit configured to output the proposed content from the proposal unit 112 as sound.

[0048] It is not mandatory to configure terminal 11 with both a display and a speaker. Terminal 11 may be configured with a display alone, or with a speaker alone.

[0049] For example, terminal 11 may display text indicating the proposed content, or locations or routes superimposed on a map, on the display screen Scr, or emit sound corresponding to the text. In addition to such displays or sounds, terminal 11 can also visualize and display the survey response items using text or the like.

[0050] Terminal 11 is also configured as an interactive terminal device. More specifically, terminal 11 is configured to accept or reject a proposal from passenger U, to receive modifications from passenger U to the proposal, and to receive the passenger's evaluation of the proposal. More specifically, terminal 11 can also accept responses to a first questionnaire A1 that characterizes passenger U's personal characteristics C0, particularly the preference characteristics C7 described later, and to a second questionnaire A2 that characterizes passenger U's purpose of boarding C4 (see Figure 4 below).

[0051] Specifically, the terminal 11 according to this embodiment is configured to use a touch panel on the display as described above. This terminal 11 can also be considered as a reception unit that receives input and operations performed by the passenger.

[0052] It is not mandatory to configure terminal 11 using a touch panel for the display. The reception section of terminal 11 may be configured by providing a separate microphone instead of, or in addition to, the touch panel.

[0053] Terminal 11 then receives responses regarding passenger U's age, gender, hobbies, height, weight, body type, and family structure as the first questionnaire A1. Note that including age and gender in the response items is not mandatory. As described later, depending on the usage flag, questionnaires regarding age, gender, height, weight, and body type may be omitted.

[0054] Terminal 11 also accepts responses as the second questionnaire A2, relating to the passenger U's destination Lp and the purpose of travel to that destination Lp. Specifically, the second questionnaire A2 includes questions that can determine whether or not the purpose of travel is to a particular destination Lp.

[0055] If the purpose is to travel to a specific destination Lp, terminal 11 will accept a response regarding the purpose of travel to that destination Lp as the second questionnaire A2. If the purpose is not to travel to a specific destination Lp, terminal 11 may accept a response regarding the region that passenger U considers to be the destination Lp (destination region).

[0056] The content I1 of the conversation between passenger U and terminal 11 is transmitted to the in-vehicle database 200 as electronic data corresponding to the content I1. The in-vehicle database 200 stores the content I1 (see Figures 2 and 4). This content I1 includes responses to the first questionnaire A1 and the second questionnaire A2, as well as the acceptance, revision, and evaluation of proposals made by passenger U. The content I1 may be stored in the storage 103 of the in-vehicle computer 100 instead of, or in addition to, storage in the in-vehicle database 200.

[0057] (1-3. Vehicle control devices) The vehicle control device 12 includes lighting equipment 121, air conditioning equipment 122, and sound equipment 123. Each of these devices functions as an actuator that controls the vehicle V by receiving control signals from the onboard computer 100.

[0058] Lighting equipment 121 functions as lighting to illuminate the interior of the vehicle. Air conditioning equipment 122 performs air conditioning such as heating, cooling, and ventilation to maintain the environment inside the vehicle. Audio equipment 123 controls the sound inside the vehicle. For example, audio equipment 123 can play music inside the vehicle or provide voice notifications of various suggestions to passenger U. Voice notifications of suggestions are not mandatory.

[0059] (1-4. Biometric Information Detection Devices) The biometric information detection device 13 includes an in-vehicle camera 131 and an in-vehicle microphone 132. These devices function as sensing devices that detect the biometric information I2 of the passenger U. The biometric information detection device 13 is an example of the "biometric information detection unit" in this embodiment.

[0060] The biometric information I2 includes a body image of the passenger U acquired via the in-vehicle camera 131, which acts as an imaging unit, and voice data of the passenger U acquired via the in-vehicle microphone 132.

[0061] The in-vehicle camera 131 captures images of the interior of the vehicle. More specifically, the in-vehicle camera 131 captures images of the body of the occupant U of the vehicle V. More specifically, the in-vehicle camera 131 captures one or more of the occupant U's facial expression, clothing, gaze, blinking, posture, and body movements. The in-vehicle camera 131 operates by receiving control signals from the in-vehicle computer 100 and generates electrical signals indicating the captured images.

[0062] The in-vehicle microphone 132 collects sound from inside the vehicle. For example, the in-vehicle microphone 17 collects conversations taking place inside the vehicle. The in-vehicle microphone 132 operates by receiving control signals from the in-vehicle computer 100 and generates electrical signals indicating the sound it has collected.

[0063] The electrical signals generated by each sensing device constituting the biometric information detection device 13 are transmitted to the in-vehicle database 200 as electronic data representing the biometric information I2 of the passenger U. The in-vehicle database 200 stores the biometric information I2 (see Figure 2). The biometric information I2 may be stored in the in-vehicle computer 100 instead of, or in addition to, storage in the in-vehicle database 200.

[0064] In addition, the biometric information detection device 13 may include a heart rate sensor for detecting the passenger U's heart rate, an electromyography sensor for detecting the passenger U's electromyographic potential, an electroencephalogram (EEG) sensor for detecting the passenger U's brain waves, a temperature sensor for detecting the passenger U's body temperature, and the like.

[0065] Furthermore, the biometric information I2 includes, in addition to the information detected by the sensing device described above, information contained in the dialogue content I1 via the terminal 11, or information that can be inferred from the dialogue content I1. The biometric information I2 based on the dialogue content I1 includes physical information of the passenger U, such as height, weight, body type, and gender, and information indicating the passenger U's physical condition (the passenger U's own subjective judgment).

[0066] The physical information and health condition of passenger U may be determined based on the images captured by the in-vehicle camera 131. In this case, passenger U's health condition will be determined by objective information such as passenger U's facial color, rather than by information based on passenger U's own subjective judgment.

[0067] (1-5. Movement Information Detection Device) The movement information detection device 14 includes an external camera 141 and a driving environment sensor 142. These devices function as sensing devices that detect movement information I3 that characterizes the characteristics of the vehicle V itself and the driving conditions of the vehicle V. The movement information detection device 14 is an example of the "movement information detection unit" in this embodiment.

[0068] The external camera 141 captures images of the area outside the vehicle. More specifically, the external camera 141 captures images of the surrounding environment of vehicle V. Here, the term "surrounding environment of vehicle V" includes preceding vehicles, following vehicles, oncoming vehicles, pedestrians, various structures, and the traffic environment of vehicle V. The external camera 141 operates by receiving control signals from the onboard computer 100 and generates electrical signals indicating the captured images.

[0069] The driving environment sensor 142 detects the weather outside the vehicle, the location information of the vehicle V, and the surrounding environment. The driving environment sensor 142 consists of an illuminance sensor, a raindrop sensor, a GPS sensor, a LiDAR (Light Detection And Ranging) sensor, an outside temperature sensor, and a sound-collecting microphone. The illuminance sensor detects the illuminance of sunlight. The raindrop sensor detects raindrops caused by rainfall. The GPS sensor detects the location information of the vehicle V. The LiDAR emits laser light and detects the distance to an object or the shape of an object based on the reflected light. A radar that emits radio waves or millimeter waves may be used instead of LiDAR. Each of these devices generates an electrical signal indicating the detection result. The outside temperature sensor detects the temperature outside the vehicle. The sound-collecting microphone detects the presence and volume of noise outside the vehicle.

[0070] The electrical signals generated by each sensing device constituting the movement information detection device 14 are transmitted to the in-vehicle database 200 as electronic data indicating the movement information of the vehicle V. The in-vehicle database 200 stores the movement information I3 (see Figure 2). The movement information I3 may be stored in the in-vehicle computer 100 instead of, or in addition to, storage in the in-vehicle database 200.

[0071] In addition, the mobility information detection device 14 may include a fuel level sensor for detecting the remaining amount of fuel or battery, a history sensor for detecting the passenger U's riding history, a vehicle speed sensor for detecting the vehicle speed of the vehicle V, an accelerator pedal position sensor for detecting the degree of accelerator pedal opening, and the like.

[0072] Furthermore, the movement information I3 includes, in addition to the information detected by the sensing device described above, information contained in the dialogue content I1 via the terminal 11 or information estimated from the dialogue content I1. The movement information I3 obtained or estimated from the dialogue content I1 includes information indicating the purpose of boarding C4, such as the destination specified by the passenger U.

[0073] Furthermore, the mobility information I3 includes a usage flag indicating whether the vehicle V, as a mobile entity, is a shared item (a so-called "shared car") or an item temporarily leased (a so-called "rental car"). This usage flag is mobility information I3 that characterizes the characteristics of the vehicle V itself and is stored in advance in the in-vehicle database 200 or the in-vehicle computer 100.

[0074] Furthermore, the movement information I3 includes a time flag indicating the date and time of use of the vehicle V as a moving object. This time flag is movement information that characterizes the driving status of the vehicle V and is counted by a timer 105 provided in or connected to the onboard computer 100.

[0075] (1-6. In-vehicle database) The in-vehicle database 200 stores the content I1 of the conversation between terminal 11 and passenger U, passenger U's biometric information I2, and the movement information I3 of passenger U and vehicle V. The in-vehicle database 200 is composed of storage capable of continuously storing various types of information. The in-vehicle database 200 can be composed of storage based on any standard, such as storage employing flash memory.

[0076] The in-vehicle database 200 is located inside the vehicle V and stores the content of the conversation between the passenger U and the terminal 11. Together with the external server 1000 described later, it constitutes the "storage unit" according to this embodiment.

[0077] (1-7. Onboard Computer) The in-vehicle computer 100 is a computer in which a control unit 101 and an input / output interface (I / O interface) 102 are interconnected via a system bus.

[0078] The control unit 101 includes a processor 101a that executes various programs, a read-only ROM 101b that stores the BIOS and the like, and RAM 101c that functions as main memory.

[0079] In addition to the aforementioned terminal 11, vehicle control device 12, biometric information detection device 13, movement information detection device 14, timer 105, and in-vehicle database 200, the input / output interface 102 is also connected to the storage 103 and the communication control unit 104. The connection via the input / output interface 102 may also be a connection via an in-vehicle network such as CAN.

[0080] The storage 103 stores various information related to the vehicle V and the passenger U, and various programs for processing said information. The in-vehicle database 200 may also serve as the storage 103.

[0081] The communication control unit 104 is connected to the external server 1000 via the cloud network N1 based on a predetermined communication standard. The in-vehicle computer 100 sends and receives data to and from the external server 1000 via the communication control unit 104 and the cloud network N1.

[0082] Here, the external server 1000 stores a destination database 1001 associated with the passenger U's personal characteristics C0, an acoustic database 1002 corresponding to the passenger U's personal characteristics C0, and regional information (not shown) including event information and tourist information for each destination Lp. The passenger U's personal characteristics C0 will be described later.

[0083] The external server 1000 also stores the content I1 of the conversation between the terminal 11 of another vehicle V' and a group of other users U' other than the passenger U, the biometric information I2 of the group of other users U', and the movement information I3 of the group of other users U' and the other vehicle V'.

[0084] The external server 1000 is located outside the vehicle V' and stores the content of conversations between other user groups U' and other terminals 11. Together with the aforementioned in-vehicle database 200, it constitutes the "storage unit" according to this embodiment.

[0085] As illustrated in Figure 3A, the in-vehicle computer 100 according to this embodiment comprises an estimation unit 111, a proposal unit 112, a terminal control unit 113, and an operation control unit 114. The proposal unit 112 is composed of an action proposal unit 112A and an operation proposal unit 112B. Details of these elements will be described below. These elements are, for example, composed of the control unit 101 of the in-vehicle computer 100.

[0086] <2. Estimation part> Figure 4 is a schematic diagram showing the target of estimation by the estimation unit 111. Figure 5 is a diagram for explaining the estimation procedure for confidence level C1. Figure 6 is a flowchart illustrating the estimation procedure for interest level C2. Figure 7 is a diagram for explaining the estimation procedure for originality level C3. Figure 8 is a flowchart illustrating the estimation procedure for originality level C3.

[0087] The estimation unit 111 estimates the passenger U's personal characteristics C0, the passenger U's purpose for boarding C4, the passenger U's mental and physical state including emotions C5, and the passenger U's boarding risk C6. Note that estimating the purpose of boarding C4, mental and physical state C5, and boarding risk C6 is not mandatory. Personal characteristics C0 is an example of "personal characteristics" in this embodiment.

[0088] Specifically, the estimation unit 111 according to this embodiment is composed of a machine learning model. The machine learning model that constitutes the estimation unit 111 may be a neural network or a rule-based model. It is not essential that the estimation unit 111 be composed of a machine learning model.

[0089] Specifically, the estimation unit 111 estimates personal characteristics C0, purpose of boarding C4, physical and mental state C5, and boarding risk C6 based on at least one of the following: the content of the conversation with the passenger U via the terminal 11, biometric information detected by the biometric information detection device 13, and movement information detected by the movement information detection device 14. The conversation content, biometric information, and movement information are read from the in-vehicle database 200, respectively.

[0090] Here, personal characteristics C0 include judgment characteristics Ca, which characterize the passenger U's judgment criteria for the proposal from proposal unit 112, and preference characteristics C7, which characterize the passenger U's preferences that may influence whether or not the proposal from proposal unit 112 is accepted. Note that preference characteristics C7 are not essential in this disclosure.

[0091] The judgment characteristic Ca, as illustrated in Figure 4, includes the level of trust C1 between the passenger U and the proposal unit 112, the passenger U's level of interest C2 in the proposal from the proposal unit 112, and the passenger U's originality C3 in deciding whether to accept or reject the proposal from the proposal unit 112. On the other hand, the preference characteristic C7 is related to the passenger U's life stage and lifestyle.

[0092] The judgment characteristic Ca according to this embodiment is composed of a combination of confidence level C1, interest level C2, and uniqueness level C3. Note that uniqueness level C3 is not essential in this disclosure.

[0093] (2-1. Estimation of confidence level) The estimation unit 111 estimates the confidence level C1 of passenger U based on the passenger U's response to the proposal from the proposal unit 112. This confidence level C1 represents the level of confidence between passenger U and the proposed system S, vehicle V, or the manufacturer or brand of vehicle V. The estimation based on the response can be performed based on the dialogue content I1.

[0094] Here, the estimation unit 111 calculates the degree of update of the individual characteristic C0 (for example, the number of updates). Then, the estimation unit 111 updates the confidence level C1 according to the calculated degree of update. Specifically, as illustrated in graph G1 of Figure 5, the estimation unit 111 sets a higher confidence level C1 the more updates are calculated.

[0095] Furthermore, the estimation unit 111 calculates the frequency or amount of modification of the proposal via the terminal 11. The estimation unit 111 then updates the confidence level C1 according to the calculated frequency or amount of modification. Specifically, as illustrated in graph G2 of Figure 5, the estimation unit 111 sets the confidence level C1 lower the higher the calculated frequency or the larger the amount of modification.

[0096] Furthermore, the estimation unit 111 calculates the frequency or number of times proposals are adopted via the terminal 11. The estimation unit 111 then updates the confidence level C1 according to the calculated frequency or number of adoptions. Specifically, as illustrated in graph G3 of Figure 5, the estimation unit 111 sets a higher confidence level C1 the higher the calculated frequency or number of adoptions.

[0097] Furthermore, the estimation unit 111 aggregates the evaluations of the proposals received by the terminal 11. The estimation unit 111 then updates the confidence level C1 according to the aggregated evaluation results. Specifically, as illustrated in graph G4 of Figure 5, the estimation unit 111 sets a higher confidence level C1 the more highly an evaluation a proposal receives.

[0098] Furthermore, the estimation unit 111 calculates the cumulative operating period (valid period) since the terminal 11 activated the proposed function. The estimation unit 111 then updates the confidence level C1 according to the length of the valid period. Specifically, as illustrated in graph G5 of Figure 5, the estimation unit 111 sets the confidence level C1 higher as the valid period lengthens.

[0099] Thus, the estimation unit 111 according to this embodiment calculates the confidence level C1 using five variables that characterize the passenger U's response to the proposal from the proposal unit 112: a first variable that quantifies the degree of update of personal characteristics C0, a second variable that quantifies the frequency or amount of revision of the proposal, a third variable that quantifies the frequency or number of times the proposal is adopted, a fourth variable that quantifies the evaluation of the proposal, and a fifth variable that quantifies the cumulative operating period of the terminal 11.

[0100] In detail, a machine learning model is pre-stored in a storage device such as storage 103, which takes the five variables mentioned above as input and outputs a confidence score C1 value. The estimation unit 111 calculates the confidence score C1 value by inputting four variables into the machine learning model. As mentioned above, using a machine learning model is not mandatory.

[0101] The proposal unit 112 then executes a proposal as described below, based on the confidence level C1 calculated (updated) in this way. The estimation unit 111 further updates the confidence level C1 of passenger U based on the passenger U's response to the proposal.

[0102] In this way, the proposal unit 112 and the estimation unit 111 perform feedback control via the confidence level C1. Through this feedback control, the proposal from the proposal unit 112 is optimized according to the confidence level C1 of the passenger U.

[0103] (2-2. Estimation of the level of interest) The estimation unit 111 estimates the passenger U's level of interest C2 based on the passenger U's response to the proposal from the proposal unit 112. This level of interest C2 may be considered as the level of interest in the proposal unit 112 or the proposal system S itself.

[0104] Specifically, the estimation unit 111 according to this embodiment determines the passenger U's level of interest C2 based on the passenger U's behavioral change stages, which are represented by multiple stages. Here, the behavioral change stages are modeled by five stages, as is well known. The five stages include the "precontemplation stage," the "contemplation stage," the "preparation stage," the "action stage," and the "maintenance stage."

[0105] The "precontemplation stage" is the stage in which a person does not intend to change their "behavior" within a predetermined first period (e.g., six months). The "contemplation stage" is the stage in which a person intends to change their "behavior" within a predetermined third period (e.g., one month). The "action stage" is the stage in which a person intends to change their "behavior" within a second period shorter than the aforementioned first period (e.g., one month). The "action stage" is the stage in which a person has changed their "behavior" but has not yet reached the predetermined third period (e.g., six months). The "maintenance stage" is the stage in which a person has changed their "behavior" and has reached the aforementioned third period or longer.

[0106] In this embodiment, "action" includes "adoption of a proposal from the proposed system S." Furthermore, this embodiment utilizes four stages, excluding the "preparation phase."

[0107] More specifically, the estimation unit 111 is configured to determine the progress of the dialogue between terminal 11 and passenger U, and to update the level of interest C2 according to that progress. More specifically, the estimation unit 111 updates the level of interest C2 by referring to the confidence level C1 in addition to the progress.

[0108] As an example, as illustrated in step S101 of Figure 6, the estimation unit 111 first determines whether the proposal function of the proposal system S (specifically, the proposal function of action proposal or motion proposal) is enabled. If the determination in step S101 is NO, the estimation unit 111 sets the interest level C2 of the passenger U to "precontemplation" in step S102 and returns the control process to step S101. The estimation unit 111 maintains the interest level C2 at "precontemplation" until the proposal function is enabled.

[0109] If the determination in step S101 is YES, the estimation unit 111 proceeds to step S103 of the control process. In step S103, the estimation unit 111 determines whether there is a history of acquiring personal characteristics C0 or whether the acquisition of new personal characteristics C0 has been completed. If the determination in step S103 is NO, the estimation unit 111 sets the interest level C2 of passenger U to "interest stage" in step S104 and returns the control process to step S103. If there is no history of acquiring personal characteristics C0, the estimation unit 111 keeps the interest level C2 at "interest stage" until the acquisition of new personal characteristics C0 is completed.

[0110] If the determination in step S103 is YES, the estimation unit 111 proceeds to step S105 of the control process. In step S105, the estimation unit 111 determines whether the elapsed time since the proposed function was activated (system validity period) has exceeded a predetermined first period, or whether the number of proposed options calculated based on the confidence level C1 has exceeded a predetermined first threshold. If the determination in step S105 is NO, the estimation unit 111 sets the interest level C2 of passenger U to "execution period" in step S106 and returns the control process to step S105. The estimation unit 111 maintains the interest level C2 at "execution period" until the system validity period exceeds the first period or the number of proposed options exceeds the first threshold.

[0111] Here, the system validity period is an example of the "cumulative operating period" in this embodiment. Furthermore, updating the level of interest C2 by referring to the number of proposed options is substantially equivalent to updating the level of interest C2 by referring to the confidence level C1, as will be described later.

[0112] If the determination in step S105 is YES, the estimation unit 111 proceeds to step S107 of the control process. In step S107, the estimation unit 111 determines whether the proposed function has been disabled. If the determination in step S107 is NO, the estimation unit 111 sets the interest level C2 of passenger U to the "maintenance phase" in step S108 and returns the control process to step S107. The estimation unit 111 maintains the interest level C2 in the "maintenance phase" until the proposed function is disabled.

[0113] If the determination in step S107 is YES, the estimation unit 111 sets the interest level C2 of passenger U to "incontemplation" in step S109 and terminates the control process in Figure 6. In this case, with the interest level C2 set to "incontemplation," the estimation unit 111 will execute the flow in Figure 6 again, starting from step S101.

[0114] (2-3. Estimation of Uniqueness) The estimation unit 111 quantifies and estimates the uniqueness C3 of passenger U in deciding whether to accept or reject a proposal from the proposal unit 112, based on the content I1 of the dialogue between passenger U and other user group U' with terminal 11. This uniqueness C3 indicates the uniqueness of passenger U's decision to accept or reject a proposal compared to the decisions of other user groups. This uniqueness C3 may also be considered as the strength of subjectivity in passenger U's decision to accept or reject a proposal.

[0115] More specifically, the estimation unit 111 estimates the uniqueness C3 of the passenger U based on the contents of the in-vehicle database 200 and the external server 1000, which are located inside and outside the vehicle V and serve as memory units.

[0116] First, in step S201 of Figure 8, the estimation unit 111 reads the response results of other user group U' to the first questionnaire A1 from the external server 1000 as the content I1 of the conversation with terminal 11.

[0117] Next, in step S202, the estimation unit 111 performs statistical processing on the information read from the external server 1000 and creates a distribution diagram M1 that represents the statistical distribution of the response results of other user groups U'. As illustrated in Figure 7, the distribution diagram M1 is represented by a distribution function such as a normal distribution or a Pareto distribution.

[0118] Next, in step S203, the estimation unit 111 reads the passenger U's response result Vu to the first questionnaire A1 from the in-vehicle database 200 as the content I1 of the conversation with the terminal 11.

[0119] Next, in step S204, the estimation unit 111 superimposes the passenger U's response result Vu onto the distribution diagram M1 and quantifies the passenger U's uniqueness C3 based on the superimposed result. For example, if the distribution diagram M1 is represented by a normal distribution, the difference ΔV between the user mean Va on that normal distribution and the response result Vu can be used for uniqueness C3. As an example, as shown in Figures 7(a) and 7(b), uniqueness C3 may be quantified by using parameters, coefficients, variables, functions, etc., such that the difference ΔV is low when the difference ΔV is small and high when the difference ΔV is large.

[0120] (2-4. Estimation of Preference Characteristics) The estimation unit 111 estimates the passenger U's preference characteristics C7 based on the stored contents of the in-vehicle database 200 (particularly the dialogue content I1) (see Figure 4). The preference characteristics C7 include an index representing the passenger U's age in multiple stages, an index representing the passenger U's gender, an index representing the passenger U's hobbies, an index representing the passenger U's family structure, an index representing other characteristics of the passenger U, and an index representing the relationship between the passenger U and the vehicle V. The values ​​of these indexes may be quantified.

[0121] The age of passenger U can be expressed in six stages, for example, "infancy," "childhood," "adolescence," "adulthood," "middle age," and "old age." The family structure of passenger U can be expressed in multiple stages, for example, "single," "nuclear family," and "multi-generational family."

[0122] Other characteristics of passenger U are represented by one or more flags, such as whether passenger U is a student or whether passenger U is pregnant or raising children.

[0123] An index representing the relationship between passenger U and vehicle V consists of, for example, one or more of the following: frequency of riding vehicle V, duration of riding vehicle V, distance traveled by vehicle V, and location information of vehicle V. These indexes may be further classified by day of the week, time of day, day of the week, or season. These indexes can be calculated based on travel information I3.

[0124] The estimation unit 111 estimates the passenger U's preference characteristics C7 based on at least one of the following: the content of the conversation with the terminal 11 I1, biometric information I2, and mobility information I3. The information referenced may differ depending on the type of preference characteristic C7. For example, the passenger U's age can be estimated based on the response to the first questionnaire A1. On the other hand, an index representing the relationship between passenger U and vehicle V can be estimated, for example, based on mobility information I3 as described above.

[0125] The passenger U's preference characteristics C7 can also be estimated based on the passenger U's body image. For example, the estimation unit 111 extracts the passenger U's face image based on the passenger U's body image. The estimation unit 111 then estimates the passenger U's gender, age, etc., based on the passenger U's face image. In other words, the preference characteristics C7 can be estimated based on the biometric information I2.

[0126] (2-5. Estimation of the purpose of boarding) The estimation unit 111 obtains the purpose of boarding the vehicle V C4 based on at least one of the following: dialogue content I1, biometric information I2, and movement information I3 (see Figure 4). The estimation unit 111 classifies the purpose of boarding C4 into one of several categories. These categories include one or more of the following: sightseeing, driving, visiting family, funeral, celebration, business, daily life, and other purposes. The degree of each of these categories may also be quantified.

[0127] More specifically, the estimation unit 111 refers to the response to the second questionnaire A2 as dialogue content I1, and estimates the passenger U's purpose of boarding C4 based on that response. For example, if the response to the second questionnaire A2 includes the passenger U's purpose of travel to a specific tourist destination, the estimation unit 111 classifies the purpose of boarding C4 as tourism. On the other hand, if the response to the second questionnaire A2 includes the passenger U's purpose of travel to a specific wedding venue, the estimation unit 111 classifies the purpose of boarding C4 as a celebratory event.

[0128] In addition to, or instead of, referring to the responses to the second questionnaire A2, the estimation unit 111 can estimate the purpose of boarding C4 of passenger U based on the passenger U's body image as biometric information I2. For example, the estimation unit 111 estimates the passenger U's clothing based on the passenger U's body image. The estimation unit 111 then performs a classification of the purpose of boarding C4 according to the estimated clothing.

[0129] To give a further example, if passenger U is wearing a business suit, the estimation unit 111 can classify the purpose of boarding C4 as business. If passenger U is wearing a tie, the estimation unit 111 can classify the purpose of boarding C4 as business, funeral, or celebration based on the pattern and color of the tie.

[0130] Furthermore, in addition to, or instead of, referring to the responses to the second questionnaire A2, the estimation unit 111 can estimate the passenger U's purpose of boarding C4 based on the passenger U's voice data as biometric information I2. This estimation can be performed in combination with estimation based on body images.

[0131] In addition, the estimation unit 111 can estimate the purpose of boarding C4 based on the time flag of the vehicle V. For example, if the vehicle V is used on a weekday, the estimation unit 111 determines that the purpose of boarding C4 is likely to be business or daily life, and if the vehicle V is used on a Saturday or Sunday, it determines that the purpose of boarding C4 is likely to be for a purpose other than business or daily life.

[0132] The estimation unit 111 can improve the accuracy of estimating the purpose of boarding C4 by combining the judgment based on the time flag with the judgment based on the second questionnaire A2, body image, and voice data.

[0133] In addition, the estimation unit 111 can estimate the purpose of boarding C4 based on the vehicle V's usage flag. For example, if the vehicle V is a rental car, the estimation unit 111 can determine that the purpose of boarding C4 is likely to be for a purpose other than business or daily life.

[0134] The estimation unit 111 can improve the accuracy of estimating the purpose of boarding C4 by combining the judgment based on the purpose flag with the judgment based on the second questionnaire A2, body image, voice data, and time flag.

[0135] The usage flag can be used in the response items of the first questionnaire A1. The estimation unit 111 determines whether vehicle V is a shared car or a rental car based on the usage flag. If it is determined to be a shared car or a rental car, the estimation unit 111 reduces the number of response items in the first questionnaire A1 compared to when it is not determined to be a shared car or a rental car. More specifically, if it is determined that vehicle V is a shared car or a rental car, the estimation unit 111 reduces the number of response items other than the usage flag in the first questionnaire A1 compared to when it is not determined to be a shared car or a rental car.

[0136] (2-6. Estimation of physical and mental state) The estimation unit 111 estimates the mental and physical state C5 of the passenger U based on at least one of the following: dialogue content I1, biometric information I2, and movement information I3 (see Figure 4). The mental and physical state C5 estimated by the estimation unit 111 may include the passenger U's physical condition in addition to the passenger U's emotions as described above. As illustrated in Figure 4, the passenger U's physical condition may be the passenger U's physical condition. The estimation unit 111 classifies the passenger U's emotions (and physical condition) into one of several categories. The several categories include one or more of the following: "normal," "joy (happiness)," "anger," "sadness," "fun," "pleasant," "unpleasant," "active (awakened)," "inactive (sleep)," "excited," "calm," "depressed," "relieved," "anxious," "fulfilled," "empty," "disappointed," "fatigued," "weariness," and "exhausted." The degree of each of these categories may also be quantified.

[0137] More specifically, the estimation unit 111 estimates the mental and physical state C5 of passenger U based on the passenger U's body image as biometric information I2. For example, the estimation unit 111 extracts a face image of passenger U based on the passenger U's body image. The estimation unit 111 then estimates the mental and physical state C5 of passenger U based on the facial expression shown in the passenger U's face image.

[0138] Furthermore, in addition to, or instead of, the body image of the passenger U, the estimation unit 111 can estimate the passenger U's mental and physical state C5 based on the passenger U's voice data as biometric information I2. This estimation can be performed in combination with estimation based on the body image. Moreover, the estimation unit 111 can also estimate the passenger U's mental and physical state C5 based on other biometric information I2, such as heart rate.

[0139] In addition, the estimation unit 111 can estimate the emotions of passengers U based on the purpose C4 of boarding the vehicle V. For example, if the purpose of boarding is a funeral, the estimation unit 111 can determine that the emotion is likely to be classified as "sadness." Also, if the purpose of boarding is sightseeing, the estimation unit 111 can determine that the emotion is likely to be classified as "joy" or "happiness."

[0140] The estimation unit 111 can improve the accuracy of estimating the mental and physical state C5 by combining the judgment based on the purpose of boarding C4 with the judgment based on physical images and voice data.

[0141] In addition, the estimation unit 111 can estimate the mental and physical state C5 based on the time flag of the vehicle V. For example, if the vehicle V is used in the early morning or late at night, the estimation unit 111 will determine that there is a high probability that the passenger U is feeling sleepy.

[0142] The estimation unit 111 can improve the accuracy of estimating the mental and physical state C5 by combining the judgment based on the time flag with the judgment based on the physical image, voice data, and purpose of boarding C4.

[0143] (2-7. Estimation of boarding risks) The estimation unit 111 obtains the boarding risk C6 for vehicle V based on at least one of the following: dialogue content I1, biometric information I2, and movement information I3. This boarding risk C6 is represented by two variables: safety risk and economic risk. The boarding risk C6 increases as the safety risk increases and as the economic risk increases.

[0144] More specifically, the estimation unit 111 estimates the boarding risk C6 based on the boarding purpose C4 estimated by the estimation unit 111. For example, the estimation unit 111 collects news of incidents that occurred around the destination Lp of the vehicle V or on the travel route Tp to the destination Lp, and evaluates the safety risk corresponding to the boarding purpose C4 based on the collected results.

[0145] To illustrate further, the estimation unit 111 evaluates the economic risk corresponding to the purpose of travel C4 based on the travel distance and route to the destination Lp. For example, the estimation unit 111 evaluates the economic risk higher the longer the travel distance to the destination Lp.

[0146] In addition, the estimation unit 111 can estimate the boarding risk C6 based on the physical and mental condition C5 of the vehicle V. For example, if the passenger U is unwell, the estimation unit 111 will evaluate the safety risk as higher.

[0147] <3. Action proposal department> Figure 9 is a schematic diagram illustrating an example of a control target by the proposal unit 112. Figure 10 is a schematic diagram illustrating an example of the control content by the proposal unit 112. Figure 9 is common to both the action proposal unit 112A and the operation proposal unit 112B in the proposal unit 112. In Figure 10, underlined items indicate processing specific to either the action proposal unit 112A or the operation proposal unit 112B, while ununderlined items indicate processing common to both.

[0148] The action suggestion unit 112A according to this embodiment is composed of a machine learning model. The machine learning model that constitutes the action suggestion unit 112A may be a neural network or a rule-based model. It is not mandatory to constitute the action suggestion unit 112A with a machine learning model.

[0149] (3-1.Basic concept) The action suggestion unit 112A proposes the crew actions defined above to the passenger U. The action suggestion unit 112A proposes to the passenger U the act of moving to a predetermined destination Lp as the crew action. Specifically, the action suggestion unit 112A performs at least one of the following as the act of moving to a predetermined destination Lp: proposing the destination Lp and proposing the travel route Tp to said destination Lp.

[0150] The action suggestion unit 112A makes a travel suggestion based on the response to the second questionnaire A2 or the boarding purpose C4 estimated by the estimation unit 111 itself. In doing so, the action suggestion unit 112A proposes one or more travel actions.

[0151] For example, if the destination Lp, such as a specific building, is clearly known, the action suggestion unit 112A will suggest a travel route Tp to that destination Lp. As mentioned above, the number of travel route Tp suggestions will be one or more.

[0152] Furthermore, if the destination Lp is only known to the region or municipality, and there is room for suggesting specific destinations, the action suggestion unit 112A will suggest details of the destination (destination Lp), such as a specific building or the location of a tourist event. As mentioned above, the number of destination Lp suggestions will be one or more.

[0153] More specifically, as illustrated in Figure 9, the action suggestion unit 112A determines the crew actions to be suggested to passenger U based on the preference characteristics C7 estimated from the results of the second questionnaire A2, etc. More specifically, when determining the crew actions to be suggested to passenger U, the action suggestion unit 112A refers to the aforementioned destination database 1001 stored in the external server 1000. In this destination database 1001, as described above, travel activities corresponding to preference characteristics C7 are databased.

[0154] The crew action determined by the action suggestion unit 112A is proposed to the passenger U via the terminal 11. In this embodiment, the action suggestion unit 112A controls the proposal of crew actions based on the confidence level C1 and interest level C2 of the individual characteristics C0.

[0155] In detail, the action suggestion unit 112A controls the suggestion of crew actions by referring to originality C3, purpose of boarding C4, physical and mental state C5, and boarding risk C6, in addition to confidence C1 and interest C2. However, referring to originality C3, purpose of boarding C4, physical and mental state C5, and boarding risk C6 is not mandatory.

[0156] Here, the action suggestion unit 112A controls the suggestion of crew behavior through at least one of the content of the suggestion made by the action suggestion unit 112A (suggestion content J1), the method of presenting the suggestion J2, and motivational information J3 that encourages the adoption of the suggestion.

[0157] Control via proposed content J1 includes setting the content of the destination Lp and travel route Tp themselves, and setting the number of options (number of proposals) for the destination Lp and travel route Tp.

[0158] Control via presentation method J2 includes setting the amount of information when the proposed content J1 is visualized, setting the type of information, and setting the notification method for that information.

[0159] Here, setting the amount of information includes, for example, setting the number of characters when the proposed content J1 is written into text. Setting the type of information includes, for example, setting whether the proposed content J1 is displayed as text on the terminal 11's display or whether it is announced as audio from the terminal 11's speaker. Setting the notification method of the information includes setting whether or not it is necessary to highlight at least a part of the proposed content J1 that is displayed as text, and setting whether or not it is necessary to express it in a more friendly way to the passenger U. Expressing it in a friendly way can be done, for example, by writing it in a more colloquial way.

[0160] Control via motivational information J3 includes setting whether or not to present and the content of a first additional information corresponding to preference characteristics C7, setting whether or not to present and the content of a second additional information based on past riding history, and setting whether or not to present and the content of a third additional information based on the date and time of vehicle V use and weather conditions.

[0161] Here, the first additional information includes various tourist information such as places of interest, local specialties, and meals corresponding to preference trait C7. The second additional information includes information indicating past experiences of passenger U or other users U', such as memories of passenger U or other users, such as "Many users have been seen smiling at this destination in the past." The third additional information includes information indicating the relationship between the date and time of use or weather and the suggested destination Lp or travel route Tp, such as "We suggested a destination where you can see the night view because it's an anniversary" or "We suggested a coastal travel route because it's a sunny day."

[0162] (3-2. Processing related to confidence level) As illustrated in Figures 9 and 10, the action suggestion unit 112A controls the suggested content J1 and presentation method J2 according to the confidence level C1.

[0163] Specifically, as part of controlling the proposed content J1, the action suggestion unit 112A sets more crew action options to present to the passenger U when the confidence level C1 is low compared to when the confidence level C1 is high. More specifically, the action suggestion unit 112A sets more options for destination Lp and travel route Tp as the confidence level C1 decreases.

[0164] Furthermore, as part of controlling the proposed content J1, when the confidence level C1 is low, the action suggestion unit 112A suggests to the passenger U crew behaviors that are geared towards the general public, including other user groups U', compared to when the confidence level C1 is high.

[0165] This can be achieved by reducing the weighting (importance) of preference characteristic C7 when selecting travel activities from the destination database 1001. Reducing the weighting can be rephrased as downplaying preference characteristic C7. Downplaying preference characteristic C7 can be rephrased as presenting a wider variety of options.

[0166] Furthermore, as part of controlling the presentation method J2, the action suggestion unit 112A executes notifications via the terminal 11 more concisely when the confidence level C1 is low compared to when the confidence level C1 is high. Specifically, the action suggestion unit 112A sets the amount of information notified via the terminal 11 to be smaller as the confidence level C1 decreases.

[0167] Furthermore, as part of the control of the presentation method J2, the action suggestion unit 112A executes notifications via the terminal 11 in a more user-friendly manner when the confidence level C1 is high, compared to when the confidence level C1 is low.

[0168] (3-3. Processing related to the level of interest) As illustrated in Figures 9 and 10, the behavior suggestion unit 112A controls the suggested content J1 and motivational information J3 according to the level of interest C2. The behavior suggestion unit 112A controls the suggestion of crew behavior according to the stage of behavioral change.

[0169] Specifically, as part of controlling the proposed content J1, the action proposal unit 112A differentiates whether or not to propose crew actions according to the level of interest C2. More specifically, the action proposal unit 112A proposes movement actions as crew actions only during the "action phase" and "maintenance phase" of the four stages: "precontemplation phase," "contemplation phase," "action phase," and "maintenance phase."

[0170] Here, the behavior suggestion unit 112A controls the suggested content J1 to be executed during the "execution phase" and the "maintenance phase" by reflecting the passenger U's preference characteristics C7 in the suggested passenger behavior according to the level of interest C2. Specifically, when the level of interest C2 is classified as the "maintenance phase," the behavior suggestion unit 112A proposes passenger U more general passenger behavior, including other user groups U', compared to when the level of interest C2 is classified as the "execution phase."

[0171] This can be achieved by reducing the weighting (importance) of preference characteristic C7 when selecting travel activities from the destination database 1001. Reducing the weighting can be rephrased as downplaying preference characteristic C7. Downplaying preference characteristic C7 can be rephrased as presenting a wider variety of options.

[0172] Furthermore, as a process common to both the action suggestion unit 112A and the motion suggestion unit 112B described later, the suggestion unit 112, during the "precontemplation stage," periodically introduces the functions of the suggestion system S, such as presenting new functions of the suggestion system S, as part of the control of motivational information J3, but does not make suggestions for occupant behavior or vehicle movement. The action suggestion unit 112A also, during the "precontemplation stage," displays past destinations Lp linked to the emotions of the passenger U as part of the control of motivational information J3 (a function to display passenger U's memories).

[0173] Furthermore, during the "contemplation stage," the proposal unit 112 only estimates individual characteristics C0 and does not propose crew behavior or vehicle movement. Specifically, during the "contemplation stage," the behavior proposal unit 112A performs at least one of the following: receiving responses to the second questionnaire A2 and analyzing individual characteristics C0 based on crew images. The same applies to the movement proposal unit 112B, which will be described later.

[0174] In addition, during the "maintenance phase," the proposal unit 112 performs gamification via the terminal 11 as a control of the motivational information J3. This gamification can be performed by rewarding the passenger U each time they accept a proposal from the terminal 11. This reward is represented as an internal parameter of the proposal system S. Depending on the reward, the system may also perform a process to change the screen within the terminal 11 (for example, to make the screen more elaborate).

[0175] (3-4. Processing related to uniqueness) As illustrated in Figures 9 and 10, the action suggestion unit 112A controls the suggested content J1 according to the uniqueness C3 of the passenger U.

[0176] Specifically, as part of controlling the proposed content J1, the action suggestion unit 112A reflects the passenger's preference characteristics C7 more significantly in the suggested crew actions when the originality C3 is high compared to when the originality C3 is low.

[0177] This can be achieved by increasing the weighting (importance) of preference characteristic C7 when selecting travel activities from the destination database 1001. Increasing the weighting can be rephrased as giving more importance to preference characteristic C7. Giving more importance to preference characteristic C7 can be rephrased as presenting options tailored to the individual passenger U.

[0178] (3-5. Procedures related to purpose of boarding and physical and mental condition) As illustrated in Figures 9 and 10, the action suggestion unit 112A controls the suggested content J1, presentation method J2, and motivational information J3 by referring to the purpose of boarding C4 and the mental / physical state C5. Here, the action suggestion unit 112A controls the suggestion of crew behavior according to the category to which the purpose of boarding C4 belongs, such as sightseeing. The action suggestion unit 112A controls the suggestion of crew behavior according to the category to which the emotion in the mental / physical state C5 belongs, such as "joy (happiness)."

[0179] Specifically, the action suggestion unit 112A, as part of controlling the suggested content J1, makes suggestions for destination Lp according to the purpose of boarding C4 and the mental and physical state C5. The action suggestion unit 112A makes different suggestions for destination Lp depending on the purpose of boarding C4, such as "If the target area is ●● and the purpose of boarding is ▲▲, then ■■ will be suggested as the destination." This suggestion is effective when a specific area is answered as the destination Lp in the second questionnaire A2, or when the destination Lp is not answered.

[0180] Furthermore, as part of controlling the motivational information J3, the action suggestion unit 112A determines the destination Lp for the trip if the passenger U is traveling for sightseeing purposes, for example, based on the response to the second questionnaire A2. The action suggestion unit 112A then presents sightseeing information, such as landmarks around the destination Lp, to the passenger U via the terminal 11. This presentation may be done through photographs or videos.

[0181] Furthermore, as part of controlling the motivational information J3, the behavior suggestion unit 112A determines the destination Lp if the passenger U is traveling for a purpose other than sightseeing, for example, based on the response to the second questionnaire A2. The behavior suggestion unit 112A presents the passenger U, via terminal 11, with information about the region to which the destination Lp belongs (regional information), such as a scenic spot if the purpose is a funeral, or a restaurant if the purpose is business. This presentation may be done through photos or videos. The presentation of regional information can be performed based on the contents stored in the external server 1000.

[0182] Furthermore, the action suggestion unit 112A varies the suggested destination Lp according to the passenger's mental and physical state C5. This allows for the suggestion of a destination Lp that is appropriate to the passenger U's emotions or physical condition.

[0183] Furthermore, as part of controlling the proposed content J1, the action suggestion unit 112A proposes a travel route Tp according to the purpose of boarding C4 and the mental and physical state C5. The action suggestion unit 112A varies the proposed travel route Tp according to the purpose of boarding C4, for example, "If the destination is ●● and the purpose of boarding is ▲▲, propose ■■ as the travel route." This proposal is effective when the travel route Tp is not answered in the second questionnaire A2.

[0184] Furthermore, the action suggestion unit 112A varies the suggested travel route Tp according to the mental and physical state C5. This allows for the suggestion of a travel route Tp that is appropriate to the passenger U's emotions or physical condition.

[0185] Furthermore, when proposing a travel route Tp, the action proposal unit 112A acquires fuel or power refueling points Li along the travel route Tp based on the travel information I3. These refueling points Li can be acquired, for example, using location information such as GPS. The action proposal unit 112A proposes stopping at these refueling points Li as crew actions (see the black circles in Figure 3B).

[0186] This suggestion is particularly effective, for example, when vehicle V is a rental car or a shared car. The action suggestion unit 112A determines whether vehicle V is a rental car or a shared car according to the usage flag, and if the determination is YES, it turns on the refueling point suggestion function. Alternatively, the action suggestion unit 112A may determine whether the purpose of boarding C4 is sightseeing, and if the determination is YES, it may turn on the refueling point suggestion function.

[0187] Furthermore, as part of controlling the presentation method J2, the action suggestion unit 112A changes at least one of the display color of the screen display and the voice quality of the voice according to the purpose of boarding C4 and the mental and physical state C5.

[0188] Here, the action suggestion unit 112A sets the voice quality to a subdued tone when the purpose of boarding C4 is classified as a funeral or the mental / physical state C5 is classified as sadness. On the other hand, the action suggestion unit 112A sets the voice quality to a tone with prominent intonation when the purpose of boarding C4 is classified as a celebration or the mental / physical state C5 is classified as joy.

[0189] Furthermore, when the purpose of boarding C4 is classified as a funeral or the mental / physical state C5 is classified as sadness, the action suggestion unit 112A sets the display color of the screen (for example, the display color of the text indicating the suggestion) to a more monochrome color. On the other hand, when the purpose of boarding C4 is classified as a celebration or the mental / physical state C5 is classified as joy, the action suggestion unit 112A sets the display color of the screen to a more colorful color.

[0190] (3-6. Handling of boarding risks) As illustrated in Figure 9, the action suggestion unit 112A controls at least one of the suggested content J1, presentation method J2, and motivational information J3 by referring to the boarding risk C6.

[0191] More specifically, the action suggestion unit 112A according to this embodiment changes the choice of destination Lp or route Tp based on the economic risk and safety risk that constitute the boarding risk C6. More specifically, the action suggestion unit 112A proposes a destination Lp or route Tp that is cheaper and has a lower safety risk. If there is a trade-off between economic risk and safety risk, the action suggestion unit 112A makes a proposal that prioritizes safety risk.

[0192] <4. Terminal Control Unit> The terminal control unit 113 notifies the terminal 11 of the proposal decided by the action proposal unit 112A. Depending on the passenger U's response to the notification, the proposal from the action proposal unit 112A is accepted or rejected, and factors influencing the proposal from the action proposal unit 112A, such as confidence level C1, are updated accordingly.

[0193] <5. Motion proposal section> The operation suggestion unit 112B according to this embodiment is composed of a machine learning model. The machine learning model that constitutes the operation suggestion unit 112B may be a neural network or a rule-based model. It is not essential that the operation suggestion unit 112B be composed of a machine learning model.

[0194] (5-1.Basic concept) The motion suggestion unit 112B proposes the aforementioned defined mobile vehicle operations to the passenger U. In this embodiment, the motion suggestion unit 112B proposes to the passenger U, as mobile vehicle operations, sound control of the vehicle V, lighting control of the vehicle V, or air conditioning control of the vehicle V.

[0195] As an example, the operation suggestion unit 112B performs the following as sound control of the vehicle V: setting up the sound equipment 123 and operating the sound equipment 123. More specifically, the setting of the sound equipment 123 includes one or more of the genre of music to be played in the vehicle, the title of the music, and the volume of the music. More specifically, the setting of the sound equipment 123 further includes determining whether or not to play a playlist, the titles of the songs that make up the playlist, and setting whether or not to enable noise cancellation.

[0196] More specifically, as illustrated in Figure 9, the motion suggestion unit 112B determines the proposed mobile operation (e.g., acoustic control) for the passenger U based on the preference characteristics C7 estimated from the responses to the second questionnaire A2. More specifically, when determining the acoustic control proposed for the passenger U, the motion suggestion unit 112B refers to the aforementioned acoustic database 1002 stored in the external server 1000. This acoustic database 1002 contains a database of acoustic controls corresponding to the preference characteristics C7.

[0197] The mobile body operation determined by the operation proposal unit 112B is proposed to the passenger U via the terminal 11. At that time, the operation proposal unit 112B according to this embodiment controls the proposal of the mobile body operation based on the confidence level C1 and interest level C2 in the personal characteristics C0.

[0198] In detail, the motion suggestion unit 112B controls the suggestion of mobile body movements by referring to uniqueness C3, purpose of boarding C4, physical and mental state C5, and boarding risk C6, in addition to reliability C1 and interest level C2. However, referring to uniqueness C3, purpose of boarding C4, physical and mental state C5, and boarding risk C6 is not mandatory.

[0199] Here, the action suggestion unit 112B controls the suggestion of crew behavior through at least one of the following: the content of the suggestion made by the action suggestion unit 112B (suggestion content J1), the method of presenting the suggestion J2, and motivational information J3 that encourages the adoption of the suggestion.

[0200] The control via proposed content J1 includes setting the content of sound control, such as song selection and volume, and setting the number of options (number of proposals) for the proposed content.

[0201] Control via presentation method J2 includes setting the amount of information when the proposed content J1 is visualized, setting the type of information, and setting the notification method for that information.

[0202] Here, setting the amount of information includes, for example, setting the number of characters when the proposed content J1 is written into text. Setting the type of information includes, for example, setting whether the proposed content J1 is displayed as text on the terminal 11's display or whether it is announced as audio from the terminal 11's speaker. Setting the notification method of the information includes setting whether or not it is necessary to highlight at least a part of the proposed content J1 that is displayed as text, and setting whether or not it is necessary to express it in a more friendly way to the passenger U. Expressing it in a friendly way can be done, for example, by writing it in a more colloquial way.

[0203] Control via motivational information J3 will be discussed later in relation to the level of interest C2.

[0204] (5-2. Processing related to confidence level) As illustrated in Figures 9 and 10, the operation suggestion unit 112B controls the suggested content J1 and the presentation method J2 according to the confidence level C1.

[0205] Specifically, as part of controlling the proposed content J1, the motion suggestion unit 112B sets more options for mobile body movements to be presented to the passenger U when the reliability C1 is low compared to when the reliability C1 is high. For example, when the reliability C1 is high, the motion suggestion unit 112B reduces the number of songs suggested to the passenger U compared to when the reliability C1 is low. More specifically, the motion suggestion unit 112B sets more options for sound control as the reliability C1 decreases.

[0206] Furthermore, as part of controlling the proposed content J1, the operation proposal unit 112B determines whether or not to propose playback of a playlist containing multiple songs, and adjusts the number of songs that make up the playlist, based on the reliability level C1. More specifically, the operation proposal unit 112B proposes playback of the playlist when the reliability level C1 exceeds a predetermined second threshold. More specifically, the operation proposal unit 112B sets a larger number of songs to make up the playlist as the reliability level C1 increases.

[0207] Furthermore, as part of the control of the proposed content J1, the operation proposal unit 112B reflects the preference characteristics C7 more significantly in the proposed movement of the mobile body when the reliability C1 is high compared to when the reliability C1 is low.

[0208] This can be achieved by increasing the weighting (importance) of preference characteristic C7 when selecting acoustic controls from the acoustic database 1002. Increasing the weighting can be rephrased as giving more importance to preference characteristic C7. Giving more importance to preference characteristic C7 can be rephrased as presenting options tailored to the individual passenger U.

[0209] Furthermore, as part of the control of the presentation method J2, the operation suggestion unit 112B executes notifications via the terminal 11 more concisely when the confidence level C1 is low compared to when the confidence level C1 is high. Specifically, the operation suggestion unit 112B sets the amount of information notified via the terminal 11 to be smaller as the confidence level C1 decreases.

[0210] Furthermore, as part of the control of the presentation method J2, the operation suggestion unit 112B performs notifications via the terminal 11 in a more user-friendly manner when the confidence level C1 is high, compared to when the confidence level C1 is low.

[0211] (5-3. Processing related to the level of interest) As illustrated in Figures 9 and 10, the motion suggestion unit 112B controls the suggested content J1 and motivational information J3 according to the level of interest C2. The motion suggestion unit 112B controls the suggestion of mobile body movements according to the stage of behavioral change.

[0212] Specifically, as part of controlling the proposed content J1, the motion proposal unit 112B determines whether or not to propose mobile body movements depending on the level of interest C2. More specifically, the motion proposal unit 112B executes proposals for acoustic control as mobile body movements only during the "execution phase" and "maintenance phase," out of the four phases: "precontemplation phase," "contemplation phase," "execution phase," and "maintenance phase."

[0213] Here, the motion suggestion unit 112B, as a control of the suggested content J1 executed during the "execution phase" and the "maintenance phase," reflects the passenger U's preference characteristics C7 in the suggested mobile operation according to the level of interest C2. Specifically, when the level of interest C2 is classified as the "maintenance phase," the motion suggestion unit 112B proposes mobile operation to the passenger U that is geared towards the general public, including other user groups U', compared to when the level of interest C2 is classified as the "execution phase."

[0214] This can be achieved by reducing the weighting (importance) of preference characteristic C7 when selecting acoustic controls from the acoustic database 1002. Reducing the weighting can be rephrased as downplaying preference characteristic C7. Downplaying preference characteristic C7 can be rephrased as presenting a wider variety of options.

[0215] (5-4. Processing related to uniqueness) As illustrated in Figures 9 and 10, the operation suggestion unit 112B controls the suggested content J1 according to the uniqueness C3 of the passenger U.

[0216] Specifically, as part of the control of the proposed content J1, the motion suggestion unit 112B reflects the passenger's preference characteristics C7 more significantly in the proposed motion of the mobile body when the originality C3 is high compared to when the originality C3 is low.

[0217] This can be achieved by increasing the weighting (importance) of preference characteristic C7 when selecting acoustic controls from the acoustic database 1002. Increasing the weighting can be rephrased as giving more importance to preference characteristic C7. Giving more importance to preference characteristic C7 can be rephrased as presenting options tailored to the individual passenger U.

[0218] (5-5. Processing related to purpose of boarding and physical and mental condition) As illustrated in Figures 9 and 10, the motion suggestion unit 112B controls the suggested content J1, presentation method J2, and motivational information J3 by referring to the purpose of boarding C4 and the mental / physical state C5. Here, the motion suggestion unit 112B controls the suggestion of vehicle movements according to the category to which the purpose of boarding C4 belongs, such as sightseeing. The motion suggestion unit 112B also controls the suggestion of vehicle movements according to the category to which the emotion in the mental / physical state C5 belongs, such as "joy (happiness)."

[0219] Specifically, the operation suggestion unit 112B executes an audio control suggestion according to the purpose of boarding C4 and the mental / physical state C5 as part of the control of the suggested content J1. The operation suggestion unit 112B changes one or more of the following according to the purpose of boarding C4 or the mental / physical state C5: the genre of music to be played in the vehicle, the song titles of the music, and the volume of the music.

[0220] For example, if the purpose of boarding C4 is sightseeing or a celebratory occasion, or if the mental and physical state C5 is "joy (happiness)" or "fun", the action suggestion unit 112B will suggest a more upbeat sound, a song belonging to the pop genre, or a louder volume.

[0221] On the other hand, if the purpose of boarding C4 is business or funeral, or if the mental / physical state C5 is "sadness" or "anger," the action suggestion unit 112B will suggest slower-tempo sounds, songs belonging to classical or folk music, or lower volume levels.

[0222] In particular, when the purpose of boarding (C4) is business, if multiple passengers (U) are identified, a lower volume should be suggested to avoid disrupting conversations between the passengers (U).

[0223] Furthermore, as part of the control of the presentation method J2, the action suggestion unit 112B changes at least one of the display color of the screen display and the voice quality of the voice according to the purpose of boarding C4 and the mental and physical state C5.

[0224] Here, the action suggestion unit 112B sets the voice quality to a voice with subdued intonation when the purpose of boarding C4 is classified as a funeral or the mental / physical state C5 is classified as sadness. On the other hand, the action suggestion unit 112B sets the voice quality to a voice with prominent intonation when the purpose of boarding C4 is classified as a celebration or the mental / physical state C5 is classified as joy.

[0225] Furthermore, when the purpose of boarding C4 is classified as a funeral or the mental / physical state C5 is classified as sadness, the action suggestion unit 112B sets the display color of the screen (for example, the display color of the text indicating the suggestion) to a more monochrome color. On the other hand, when the purpose of boarding C4 is classified as a celebration or the mental / physical state C5 is classified as joy, the action suggestion unit 112B sets the display color of the screen to a more colorful color.

[0226] (5-6. Handling of boarding risks) As illustrated in Figure 9, the action suggestion unit 112B controls at least one of the suggested content J1, presentation method J2, and motivational information J3 by referring to the boarding risk C6.

[0227] More specifically, the operation suggestion unit 112B according to this embodiment changes the sound control options based on the safety risks that constitute the boarding risk C6. More specifically, when the safety risk is high, the operation suggestion unit 112B changes the content of the suggestion to the passenger U so that the volume is suppressed compared to when the safety risk is low.

[0228] <6. Operation Control Unit> The motion control unit 114 notifies the terminal 11 of the proposal decided by the motion proposal unit 112B (see the arrow in Figure 3A). Depending on the passenger U's response to the notification, the proposal from the motion proposal unit 112B is accepted or rejected. The motion proposal unit 112B causes the onboard computer 100 and then the vehicle V to execute the accepted motion via the actuator. In addition, depending on whether the proposal is accepted or rejected, factors that influence the proposal from the motion proposal unit 112B, such as the reliability C1, are updated accordingly.

[0229] <7. Effects, etc.> As described above, according to the embodiment, the suggestion unit 112 controls the suggestion of mobile body operation based on the passenger U's confidence level C1 and interest level C2, as illustrated in Figure 9. By referring to the confidence level C1 and interest level C2, it is possible to make suggestions based on the passenger U's impression of the suggestion system S. This makes it possible to make more appropriate suggestions to various passengers U.

[0230] Furthermore, as illustrated in Figure 6, by using the stages of behavioral change, the level of interest C2 of passenger U can be appropriately handled. By appropriately handling the level of interest C2, proposals based on passenger U's impressions can be made more appropriately.

[0231] Furthermore, as illustrated in Figure 9, the proposed unit 112 proposes a wide range of mobile body operations, including sound control, lighting control, and air conditioning control. This improves user convenience.

[0232] Furthermore, as illustrated in Figure 10, the suggestion unit 112 reduces the number of options when the confidence level C1 is high. This allows for personalized suggestions for passenger U, increasing the frequency of suggestions being adopted. As a result, suggestions based on passenger U's perception can be made more appropriately.

[0233] Generally, when the confidence level C1 is low, the likelihood of the suggested playlist being adopted is considered low. Furthermore, when the confidence level C1 is low, the songs that make up the playlist are also considered less trustworthy. Therefore, as illustrated in Figure 10, the suggestion unit 112 uses different processing methods related to the playlist depending on the confidence level C1. This allows for more appropriate suggestions based on the passenger U's perception.

[0234] Furthermore, as illustrated in Figure 10, when the confidence level C1 is low, the suggestion unit 112 makes more general suggestions that are not tailored to individual passenger U. This allows for suggestions from a wider range of perspectives, increasing the frequency of suggestions being accepted even for passenger U who has an aversion to AI. It also allows for more appropriate suggestions based on passenger U's perceptions.

[0235] Furthermore, as illustrated in Figures 9 and 10, the estimation unit controls the proposed movement of the moving vehicle based on the passenger U's purpose of riding C4. By referring to the purpose of riding C4, it is possible to make a proposal that is suitable for that purpose of riding C4.

[0236] Furthermore, as illustrated in Figures 9 and 10, the suggestion unit 112 controls the suggestion of movement of the mobile vehicle by referring to the passenger U's physical and mental state C5 in addition to the passenger's purpose of boarding C4. By referring to the physical and mental state C5, it is possible to make suggestions from a wider range of perspectives, taking into account two variables: the purpose of boarding C4 and the physical and mental state.

[0237] Furthermore, as explained with reference to Figure 10, the suggestion unit 112 changes one or more of the following depending on the purpose of boarding C4 or the passenger's physical and mental state: the genre of music played in the vehicle V, the song titles, and the volume of the music. The sound can be finely controlled based on the passenger's perception.

[0238] Furthermore, as illustrated in Figure 10, the proposal unit 112 does not execute the proposal itself if the passenger U's level of interest C2 is classified as being in the precontemplation stage. This saves computer resources.

[0239] Furthermore, as illustrated in Figure 10, when passenger U is in the maintenance phase, the suggestion unit 112 makes more general suggestions that do not excessively reflect the preference characteristics C7. This allows for suggestions that are not specifically tailored to passenger U, i.e., suggestions from a wider range of perspectives. As a result, even passenger U who is growing tired of the suggestions from the suggestion unit 112 can maintain their interest. Suggestions based on passenger U's preferences can be made more appropriately.

[0240] Furthermore, as illustrated in Figure 10, the proposal unit 112 can offer a wider range of proposals by differentiating the content of the proposals for passengers U with a strong sense of originality C3 in their acceptance / rejection decisions and passengers U with a weak sense of originality C3. As a result, it can offer more appropriate proposals even to passengers U who have a low frequency of adopting proposals aimed at the general public.

[0241] Specifically, as illustrated in Figure 10, the proposal unit 112 adjusts the degree to which preference characteristics C7 are reflected for passengers U with strong originality C3 in their acceptance / rejection decisions and passengers U with weak originality C3. This allows for proposals from a wider range of perspectives. As a result, more appropriate proposals can be made even to passengers U who tend to adopt proposals aimed at the general public.

[0242] <8. Other Embodiments> In the above embodiment, a vehicle V was used as the moving body, but the moving body according to this disclosure is not limited to a vehicle V. The moving body may be a vessel, airplane, or other vehicle other than a vehicle V.

[0243] Furthermore, the action suggestion unit 112A and the terminal control unit 113 are not essential in this disclosure. [Explanation of symbols]

[0244] S Proposal System V Vehicle (mobile object) 1. In-vehicle systems 10 In-Car Devices 11 devices 12. Vehicle control devices 121 Lighting equipment 122 Air conditioning equipment 123 Audio equipment 13 Biometric Information Detection Devices 14. Movement Information Detection Device 100 In-vehicle computers 101 Control Unit 111 Estimation Department 112 Proposal Department 112A Action Proposal Department (Proposal Department) 112B Operation proposal section (proposal section) 200 In-vehicle database (storage unit) 1000 External Server (Storage Unit) 1001 Destination Database 1002 Acoustic Database A1 First Questionnaire (Questionnaire) A2 Second Questionnaire (Questionnaire) C0 Personal characteristics C1 Confidence C2 Level of Interest C3 Uniqueness C4 Purpose of boarding C5 Mental and Physical Condition C6 Boarding Risks C7 Preference Characteristics I1 Dialogue Content I2 Biological Information I3 Travel Information J1 Proposal details J2 Presentation method J3 Motivational Information

Claims

1. A proposal system that makes suggestions to passengers of a mobile vehicle, A proposal unit that proposes to the passenger a mobile body operation that can be accepted or rejected by the passenger and performed by the mobile body, The system includes an estimation unit that acquires the passenger's personal characteristics, including the degree of trust between the system and the passenger, and the passenger's degree of interest in the proposal, based on the passenger's response to the proposal from the proposal unit, The proposal unit controls the proposal of the mobile body movement based on the trust level and interest level in the personal characteristics. Proposed system.

2. In the proposed system described in claim 1, The estimation unit determines the level of interest based on the passenger's behavioral change stages, which are represented by multiple stages. The suggestion unit controls the suggestion of the movement of the mobile body according to the stage of the behavioral change stage. Proposed system.

3. In the proposed system described in claim 1, The proposal unit proposes to the passenger one or more of the following as the operation of the mobile body: sound control of the mobile body, lighting control of the mobile body, and air conditioning control of the mobile body. Proposed system.

4. In the proposed system described in claim 3, The proposed section proposes acoustic control of the moving body as the operation of the moving body. The suggestion unit, when the reliability is high, reduces the number of song options suggested to the passenger compared to when the reliability is low. Proposed system.

5. In the proposed system described in claim 4, The suggestion unit, based on the level of reliability, determines whether or not to suggest playing a playlist containing multiple songs, and adjusts the number of songs that make up the playlist. Proposed system.

6. In the proposed system described in claim 4, An interactive terminal mounted on the aforementioned mobile device, The mobile body is equipped with a storage unit that is located inside or outside the mobile body and stores the content of the conversation between the passenger and the terminal, The estimation unit estimates preference characteristics that characterize the passenger's preferences based on the contents of the memory unit. When the reliability is high, the suggestion unit reflects the passenger's preferences more significantly in the suggested movement of the mobile body compared to when the reliability is low. Proposed system.

7. In the proposed system described in claim 1, An interactive terminal mounted on the aforementioned mobile device, A biometric information detection unit mounted on the mobile body detects the biometric information of the passenger, The system includes a movement information detection unit that detects movement information that characterizes the characteristics of the moving body itself and the movement status of the moving body, The estimation unit obtains the purpose of boarding the mobile vehicle and the mental and physical state of the passenger, including their emotions, based on at least one of the content of the conversation with the passenger via the terminal, the biometric information detected by the biometric information detection unit, and the movement information detected by the movement information detection unit. The proposal unit controls the proposal of the mobile body's movement by referring to the boarding purpose and the physical and mental state in addition to the reliability and interest level. Proposed system.

8. In the proposed system described in claim 7, The proposed section proposes acoustic control of the moving body as the operation of the moving body. The proposed unit changes one or more of the following depending on the purpose of boarding or the physical and mental state: the genre of music played in the mobile vehicle, the title of the music, and the volume of the music. Proposed system.

9. In the proposed system described in claim 1, The proposal unit will vary the necessity of proposing the movement of the mobile body depending on the level of interest. Proposed system.

10. In the proposed system described in claim 1, An interactive terminal mounted on the aforementioned mobile device, The mobile body includes a storage unit located inside or outside the mobile body that stores the content of the conversation between the passenger and the terminal, The estimation unit estimates preference characteristics that characterize the passenger's preferences based on the contents of the memory unit. Based on the level of interest, the proposal unit reflects the passenger's preferences in the proposed movement of the mobile body. Proposed system.

11. In the proposed system described in claim 1, An interactive terminal mounted on the aforementioned mobile device, The mobile body comprises a storage unit located inside and outside the mobile body, which stores the content of conversations between the passenger and the terminal, including those between the passenger and other users. The estimation unit, based on the contents stored in the memory unit, quantifies and estimates the uniqueness of the passenger in deciding whether to accept or reject a proposal from the proposal unit. The previous proposal unit controls the proposed movement of the mobile body by referring to the reliability and interest level, as well as the originality level. Proposed system.

12. In the proposed system described in claim 11, The estimation unit estimates the passenger's preferences based on the contents stored in the memory unit. When the originality is high, the proposed movement of the mobile body will reflect the passenger's preferences to a greater extent in the proposed movement compared to when the originality is low. Proposed system.

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