JPWO2008038375A1 - Information processing apparatus, information processing method, information processing program, and computer-readable recording medium - Google Patents

Abstract

The acquisition unit (101) acquires travel state information related to the travel state of the moving object. The selection unit (102) selects the alerting information for alerting the driver of the mobile body from the alerting information candidate group according to the running state information acquired by the acquiring unit (101). The output unit (103) outputs the alert information selected by the selection unit (102). Then, the detection unit (104) detects variation information regarding the variation of the traveling state of the moving body as a result of the alert information output by the output unit (103), and the recording unit (105) is configured to output the output unit (103). The alerting information output by the information and the fluctuation information detected by the detection unit (104) are recorded in association with each other.

Description

  The present invention relates to an information processing apparatus that processes information, an information processing method, an information processing program, and a computer-readable recording medium. However, the use of the present invention is not limited to the above-described information processing apparatus, information processing method, information processing program, and computer-readable recording medium.

  The traveling of a moving body such as a vehicle may cause an accident due to dangerous traveling such as sudden start, sudden stop, and sudden handle. In recent years, in order to make the driver aware of safe driving, it has been proposed to detect such dangerous driving and output a warning guidance by voice when dangerous driving is detected (for example, the following patents) Reference 1).

JP 2002-251699 A

  However, in the above-described conventional technology, even if the warning guidance is output by voice, whether or not to perform safe driving depends on the driving of the driver and cannot be confirmed. Therefore, even if the safe driving cannot be urged by the voice output of the warning guidance for the predetermined dangerous driving, the same warning guidance is repeated for the predetermined dangerous driving. As an example, there is a problem that the driver's concentration is distracted by the extra voice output.

  On the other hand, even if there is an effect of promoting safe driving to some extent by the sound output of the warning guidance for a predetermined dangerous driving, the driver repeats the same warning guidance for the predetermined dangerous driving. One example is the problem of getting used to and not being able to encourage safe driving.

  Further, since the above-described conventional technology is configured to output the warning guidance by voice, if the driver misses or the driver is difficult to hear, the content of the warning guidance is difficult to understand, and safe driving cannot be promoted. The problem is given as an example.

  In order to solve the above-described problems and achieve the object, an information processing apparatus according to claim 1 includes an acquisition unit that acquires travel state information related to a travel state of a moving body, and a travel state acquired by the acquisition unit. According to the information, from the attention information candidate group, selection means for selecting the attention information to alert the driver of the moving body, and output means for outputting the attention information selected by the selection means, As a result of the output of the alert information by the output means, detection means for detecting fluctuation information relating to the fluctuation of the traveling state of the moving body; alert information output by the output means (hereinafter referred to as “output information”) Recording means for associating and recording the fluctuation information detected by the detection means.

  An information processing method according to a sixth aspect of the present invention includes an acquisition step of acquiring travel state information relating to a travel state of a moving body, and an alert information candidate group according to the travel state information acquired by the acquisition step. Among them, a selection step for selecting the alert information for alerting the driver of the moving body, an output step for outputting the alert information selected by the selection step, and the alert information is output by the output step. As a result, a detection process for detecting fluctuation information relating to fluctuations in the running state of the mobile body, alert information output by the output process (hereinafter referred to as “output information”), and detection by the detection process And a recording step of recording the fluctuation information in association with each other.

  An information processing program according to a seventh aspect of the invention causes a computer to execute the information processing method according to the sixth aspect.

  A computer-readable recording medium according to an eighth aspect of the invention records the information processing program according to the seventh aspect.

FIG. 1 is a block diagram illustrating an example of a functional configuration of the information processing apparatus according to the present embodiment. FIG. 2 is a flowchart showing the contents of processing of the information processing apparatus according to this embodiment. FIG. 3 is an explanatory diagram illustrating an example of the vicinity of the dashboard of the vehicle in which the navigation device according to the present embodiment is installed. FIG. 4 is a block diagram illustrating an example of a hardware configuration of the navigation device according to the present embodiment. FIG. 5 is an explanatory diagram illustrating an outline of selection of the operation program in the navigation device according to the present embodiment. FIG. 6 is a flowchart illustrating the contents of the processing of the navigation device according to the present embodiment. FIG. 7 is an explanatory diagram of a review result (part 1) of the rating in the navigation device according to the present embodiment. FIG. 8 is an explanatory diagram of a review result (part 2) of the rating in the navigation device according to the present embodiment. FIG. 9 is an explanatory diagram of a review result (part 3) of the rating in the navigation device according to the present embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Information processing apparatus 101 Acquisition part 102 Selection part 103 Output part 104 Detection part 105 Recording part

  Exemplary embodiments of an information processing apparatus, an information processing method, an information processing program, and a computer-readable recording medium according to the present invention are explained in detail below with reference to the accompanying drawings.

(Embodiment)
(Functional configuration of information processing device)
A functional configuration of the information processing apparatus according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram illustrating an example of a functional configuration of the information processing apparatus according to the present embodiment.

  In FIG. 1, the information processing apparatus 100 includes an acquisition unit 101, a selection unit 102, an output unit 103, a detection unit 104, and a recording unit 105.

  The acquisition unit 101 acquires travel state information related to the travel state of the moving object. The traveling state information is, for example, information including a driving tendency of the driver of the moving body, a sudden event or behavior that has occurred in the moving body, and the like. The driving tendency is, for example, information including the driving skill of the driver, the intensity of driving, the quietness, etc., and can be obtained from the driving history of the driver by authenticating the driver, or during driving It is good also as acquiring based on the output value of the sensor regarding the behavior of driving.

  A sudden event or behavior may be, for example, a collision with another object, a sudden acceleration (deceleration) speed, or a sudden change in traveling direction. It is good also as detecting according to it. Further, the traveling state information may include information indicating the state inside and outside the vehicle. Information indicating the state inside and outside the vehicle is, for example, the distance between the front and rear vehicles, information on obstacles ahead on the road, information indicating the situation of passengers in the rear seat, information on right and left turn points, traffic congestion information, etc. It may be acquired from a sensor, microphone, or car navigation system that monitors inside and outside the vehicle, or may be acquired from the media or the Internet.

  The selection unit 102 selects the alerting information for alerting the driver of the moving body from the alerting information candidate group according to the running state information acquired by the acquiring unit 101. For example, the alerting candidate group may be recorded on a recording medium (not shown). The alert information is, for example, information for calling attention to a passenger of a moving body, and is output by the output unit 103 described later, thereby prompting the passenger to be alerted. Further, the alert information includes any information that is output for the purpose of improving the running state, whether directly or indirectly. For example, it may be a word that directly demands improvement of rough driving, and by expressing emotions such as joy and anxiety according to the driving situation, the in-vehicle robot shares the driving situation with the driver for the driver An indirect expression may be obtained in which the driver feels that the driver feels like, and the driver is motivated to improve his / her emotional expression, and he / she tries to obtain an effect of improving the rough driving.

  Specifically, for example, the selection unit 102 may select alerting information that alerts the driver with a robot mounted on the moving body. That is, the selection unit 102 may select the alert information that alerts the driver by at least one of the light output, the motion output, and the sound output of the robot, for example.

  Further, the selection unit 102 may select the alert information according to the running state information with reference to output information recorded by the recording unit 105 described later and variation information detected by the detection unit 104 described later. Good.

  The output unit 103 outputs the alert information selected by the selection unit 102. Specifically, for example, the output unit 103 may be configured to output a control signal for controlling the robot as output information to the robot. More specifically, for example, the output unit 103 may output a control signal for controlling at least one of light output, motion output, and sound output of the robot as output information to the robot.

  As a result of the alert information output by the output unit 103, the detection unit 104 detects variation information related to variation in the traveling state of the moving object. Specifically, for example, the detection unit 104 determines whether or not the traveling state has been improved based on the difference between the traveling state information acquired before and after the output of the output information acquired by the acquiring unit 101, and based on the determination result. Then, the improvement degree of the running state is calculated as the fluctuation information. The degree of improvement may be, for example, a value that is accumulated and stored in association with output information described later, or a value that increases or decreases each time.

  The recording unit 105 records the alert information (hereinafter referred to as “output information”) output by the output unit 103 and the fluctuation information detected by the detection unit 104 in association with each other. For example, the output information and the variation information may be recorded on a recording medium (not shown), and the improvement degree that is the variation information may be recorded for a plurality of pieces of output information. In other words, the degree of improvement calculated using the running state that has fluctuated according to the output information for alerting the driver is recorded in association with the output information that has caused the fluctuation.

(Contents of information processing equipment processing)
Next, the contents of processing of the information processing apparatus 100 according to the present embodiment will be described with reference to FIG. FIG. 2 is a flowchart showing the contents of processing of the information processing apparatus according to this embodiment. In the flowchart of FIG. 2, first, it is determined whether or not the acquisition unit 101 has acquired the traveling state information of the moving body (step S201).

  In step S201, it waits for acquisition of driving state information, and when it acquires (step S201: Yes), according to the driving state information acquired in step S201 by the selection part 102, alerting information candidate group. The alerting information for alerting the driver of the moving body is selected from the inside (step S202).

  Next, the alerting information selected in step S202 is output by the output unit 103 (step S203). The alert information may be output, for example, by outputting a control signal for controlling the robot as output information to the robot.

  Then, as a result of the alert information output in step S203 by the detection unit 104, variation information relating to variation in the running state of the moving object is detected (step S204). The fluctuation information is acquired by, for example, determining whether or not the running state has been improved based on the difference between the running state information obtained before and after the output of the output information obtained by the obtaining unit 101, and based on the determination result, the fluctuation information is obtained. It is good also as calculating the improvement degree of driving state as follows.

  Thereafter, the recording unit 105 records the output information and the fluctuation information (step S205), and the series of processes is terminated. Specifically, for example, the output information and the variation information are recorded by associating the output information that is the alert information output by the output unit 103 with the variation information detected by the detection unit 104.

  Although not described in the flowchart of FIG. 2, in step S202, the alert information is selected according to the running state information with reference to the output information recorded in step S205 and the fluctuation information detected in step S204. It is good to do. That is, by repeatedly performing the process of the flowchart of FIG. 2, the alert information for alerting may be output based on the output information and the variation information that are cumulatively recorded in S205. Moreover, it is good also as accumulating information instead of recording cumulatively, determining the average and tendency, and outputting the alert information for alerting based on it. Further, by performing the processing of the flowchart of FIG. 2 in real time, based on the latest output information and fluctuation information recorded in S205, the alert information whose contents are reviewed in real time due to fluctuations in the running state may be output. Good.

  The information processing apparatus, the information processing method, the information processing program, and the computer-readable recording medium of the present invention are realized by the information processing apparatus 100 shown in FIG. The apparatus is not limited to 100, and a plurality of apparatuses may be used as long as the function unit illustrated in FIG. When each functional unit is connected as a different device, the connection between the devices may be established by performing communication using Bluetooth (registered trademark) or the like, regardless of wired or wireless.

  As described above, according to the present embodiment, it is possible to detect a running state that has fluctuated due to the output of alerting information, and to record the output information and the fluctuation information in association with each other. Therefore, it is possible to confirm whether or not an effect has been obtained by the output information from the recording of the output information and the fluctuation information, and it can be used for selection of subsequent alert information. That is, safe driving by the driver can be achieved by output of appropriate alerting information.

  In addition, since the output information and the variation information are repeatedly recorded, it is possible to select the alert information that can always obtain the maximum effect. In other words, it is possible to prevent a decrease in the effect due to the driver's familiarity.

  Furthermore, since the variation information can be represented by the degree of improvement based on whether or not the traveling state has been improved, the user can easily confirm the evaluation regarding the effect of the output information.

  In addition, it is possible to alert the driver by outputting a control signal that controls at least one of light output, motion output, and sound output by the robot. Understand and drive safely.

  Examples of the present invention will be described below. In the present embodiment, an example in which the information processing apparatus of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) will be described.

(Peripheral device configuration of navigation device)
First, the configuration of peripheral devices of the navigation device according to the present embodiment will be described with reference to FIG. FIG. 3 is an explanatory diagram illustrating an example of the vicinity of the dashboard of the vehicle in which the navigation device according to the present embodiment is installed.

  In FIG. 3, the navigation apparatus 300 is installed on the dashboard of the vehicle. The navigation device 300 includes a main body M and a display unit (display) D. The display unit D displays the current location of the vehicle, map information, the current time, and the like.

  The navigation device 300 is connected to a vehicle-mounted robot 310 installed on the dashboard. The vehicle-mounted robot 310 includes a camera, a lamp, a microphone, a speaker, and the like (not shown), and performs various outputs according to control of a control signal output from the navigation device 300.

  The vehicle-mounted robot 310 has a shape imitating a human or an animal, for example, and includes a drive unit such as an arm on the left and right sides, and controls control signals output from the navigation device 300. Accordingly, the operation output of the drive unit may be performed. Furthermore, the vehicle-mounted robot 310 may be configured to include a drive unit that swings the top / bottom / left / right and performs operation output of the drive unit in accordance with control of a control signal output from the navigation device 300. Also good.

  Specifically, for example, the top of the vehicle-mounted robot 310 may function as a camera, and the camera can rotate in the horizontal direction and the vertical direction to capture images inside and outside the vehicle. Further, the vehicle-mounted robot 310 may be configured to include a lamp, a microphone, and a speaker on the body portion, and may perform light output and sound collection and output using the lamp, the microphone, and the speaker. In addition, a display unit for displaying images, characters, and the like or a function for speaking words may be provided.

  Further, the in-vehicle robot 310 may be able to emit the whole body or a part thereof, and the in-vehicle robot 310 may be lit and blinked in various colors in accordance with control of a control signal output from the navigation device 300. .

  With the configuration shown in FIG. 3, in this embodiment, the vehicle-mounted robot 310 performs various outputs according to the control of the control signal output from the navigation device 300, so that the driver is urged to call attention. It has become.

  Details will be described with reference to FIG. 5 to FIG. 9, but the navigation apparatus 300 obtains indicators and information indicating driving trends, behaviors and events, and conditions inside and outside the car, Based on the set score, an operation program in the vehicle-mounted robot 310 for indicating an operation to alert a passenger such as a driver or a passenger is determined. That is, the driver can be alerted by the vehicle-mounted robot 310 that operates according to the control of the control signal output by the determined operation program.

  The action to call attention may be, for example, an action that expresses a pseudo emotion caused by a driving tendency, behavior, event, or situation inside or outside the car. Specifically, for example, the pseudo-emotion may be anxiety with anger, light anxiety, great joy, anxiety with sadness, light joy, etc. Good.

  That is, by using the vehicle-mounted robot 310 as a passenger who is anxious to the driver, such as when a child or a pet is riding on the vehicle, the driver is motivated to feel at ease and to drive safely. Can be given. The in-vehicle robot 310 acquires the driving situation and expresses emotions such as joy and anxiety according to the driving situation, so that the in-vehicle robot feels like the driving situation with the driver. The driver is motivated to receive the emotional expression and is willing to improve if the driving is rough, and continue if the driving is good.

(Hardware configuration of navigation device 300)
Next, a hardware configuration of the navigation device 300 according to the present embodiment will be described with reference to FIG. FIG. 4 is a block diagram illustrating an example of a hardware configuration of the navigation device according to the present embodiment.

  In FIG. 4, a navigation device 300 is mounted on a moving body such as a vehicle, and includes a CPU 401, ROM 402, RAM 403, magnetic disk drive 404, magnetic disk 405, optical disk drive 406, optical disk 407, and audio. I / F (interface) 408, microphone 409, speaker 410, input device 411, video I / F 412, display 413, communication I / F 414, GPS unit 415, various sensors 416, and camera 417 And a drive unit 418. Each component 401 to 418 is connected by a bus 420.

  First, the CPU 401 governs overall control of the navigation device 300. The ROM 402 records programs such as a boot program, a route search program, a route guidance program, a voice generation program, a map information display program, and an operation program. The RAM 403 is used as a work area for the CPU 401.

  Here, the route search program searches for an optimal route from the departure point to the destination point using map information recorded on the optical disc 407 described later. Here, the optimum route is the shortest (or fastest) route to the destination point or the route that best matches the conditions specified by the user. The guidance route searched by executing the route search program is output to the audio I / F 408 and the video I / F 412 via the CPU 401.

  The route guidance program is based on the guidance route information searched by executing the route search program, the current location information of the navigation device 300 acquired by the communication I / F 414, and the map information read from the optical disc 407. Real-time route guidance information can be generated. The route guidance information generated by executing the route guidance program is output to the audio I / F 408 and the video I / F 412 via the CPU 401.

  The sound generation program generates tone and sound information corresponding to the pattern. That is, based on the route guidance information generated by executing the route guidance program, the virtual sound source corresponding to the guidance point is set and the voice guidance information is generated and output to the voice I / F 408 via the CPU 401.

  Also, the map information display program determines the display format of the map information displayed on the display 413 by the video I / F 412 and displays the map information on the display 413 according to the determined display format.

  The operation program drives a drive unit 418, which will be described later, based on the driving tendency, behavior, and event of the vehicle. Details will be described with reference to FIG. 5 to FIG. 9, but the operation program is selected by a driving unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) described later according to driving tendency, behavior, or event. The operation program is selected and executed using the grade table so as to indicate an action to call attention to a passenger such as a passenger. The operation may be, for example, a mechanical operation, a light output by a sound output indicator, or a combination thereof.

  The magnetic disk drive 404 controls the reading / writing of the data with respect to the magnetic disk 405 according to control of CPU401. The magnetic disk 405 records data written under the control of the magnetic disk drive 404. As the magnetic disk 405, for example, an HD (hard disk) or an FD (flexible disk) can be used.

  The optical disc drive 406 controls reading / writing of data with respect to the optical disc 407 according to the control of the CPU 401. The optical disc 407 is a detachable recording medium from which data is read according to the control of the optical disc drive 406. As the optical disc 407, a writable recording medium can be used. In addition to the optical disk 407, the removable recording medium may be an MO, a memory card, or the like.

  One example of information recorded on the magnetic disk 405 and the optical disk 407 is map information used for route search / route guidance. The map information includes background data representing features (features) such as buildings, rivers, and the ground surface, and road shape data representing the shape of the road. The map information is displayed two-dimensionally or three-dimensionally on the display screen of the display 413. Drawn. When the navigation device 300 is guiding a route, the map information and the current location of the vehicle acquired by the GPS unit 415 described later are displayed in an overlapping manner.

  In this embodiment, the map information is recorded on the magnetic disk 405 and the optical disk 407. However, the present invention is not limited to this. The map information is not recorded only on the one provided integrally with the hardware of the navigation device 300, and may be provided outside the navigation device 300. In that case, the navigation apparatus 300 acquires map information via a network through communication I / F414, for example. The acquired map information is stored in the RAM 403 or the like.

  The audio I / F 408 is connected to a microphone 409 for audio input and a speaker 410 for audio output. The sound received by the microphone 409 is A / D converted in the sound I / F 408. Also, sound is output from the speaker 410. Note that the voice input from the microphone 409 can be recorded on the magnetic disk 405 or the optical disk 407 as voice data.

  The microphone 409 and the speaker 410 may be installed, for example, in a drive unit 418 (for example, the in-vehicle robot 310 in FIG. 3) described later, and performs rotation driving according to the control of the operation program described above and Input / output may be performed.

  Examples of the input device 411 include a remote controller including a plurality of keys for inputting characters, numerical values, various instructions, a keyboard, a mouse, a touch panel, and the like.

  The video I / F 412 is connected to the display 413 and the camera 417. Specifically, the video I / F 412 includes, for example, a graphic controller that controls the entire display 413, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller. Based on the output image data, the display 413 is configured by a control IC that controls display.

  The display 413 displays icons, cursors, menus, windows, or various data such as characters and images. As the display 413, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be adopted. The display 413 is installed in a manner like the display unit D in FIG. 3, for example.

  In addition, the display 413 and the camera 417 may be installed in, for example, a drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) to be described later. It is good also to do.

  Specifically, for example, the camera 417 captures an image inside or outside the vehicle. The image may be either a still image or a moving image. For example, the behavior of the passenger inside the vehicle may be photographed by the camera 417, or the situation outside the vehicle may be photographed. For example, the captured video may be output to a recording medium such as the magnetic disk 405 or the optical disk 407 via the video I / F 412 or used for determination of driving tendency, behavior, or event, which will be described later.

  In addition, the communication I / F 414 is connected to a network via wireless and functions as an interface between the navigation device 300 and the CPU 401. The communication I / F 414 is further connected to a communication network such as the Internet via wireless, and also functions as an interface between the communication network and the CPU 401.

  Communication networks include LANs, WANs, public line networks and mobile phone networks. Specifically, the communication I / F 414 includes, for example, an FM tuner, a VICS (Vehicle Information and Communication System) / beacon receiver, a radio navigation device, and other navigation devices. Get road traffic information such as regulations. VICS is a registered trademark.

  Further, the GPS unit 415 uses a received wave from a GPS satellite and output values from various sensors 416 (for example, an angular velocity sensor, an acceleration sensor, a tire rotation number, etc.) to be described later, and the current position of the vehicle (navigation device 300). Information indicating the current location). The information indicating the current location is information for specifying one point on the map information such as latitude / longitude and altitude. In addition, the GPS unit 415 outputs an odometer, a speed change amount, and an azimuth change amount using output values from the various sensors 416. This makes it possible to analyze dynamics such as sudden braking and sudden steering.

  The various sensors 416 are a vehicle speed sensor, an acceleration sensor, an angular velocity sensor, and the like, and output values thereof are used for calculation of the current point by the GPS unit 415 and measurement of changes in speed and direction. The various sensors 416 also include sensors that detect each operation of the vehicle by the driver. The detection of each operation of the vehicle may be configured to detect, for example, steering operation, turn signal input, accelerator pedal depression, brake pedal depression, or the like.

  Further, the various sensors 416 may detect the mind and body state of the passenger. The detection of the state of mind and body may be performed by, for example, detecting the pulse or blood pressure of the occupant with a skin grounding sensor. Or you may detect a passenger's perspiration with another human body sensor. By such outputs of the various sensors 416, driving tendencies, behaviors, and events described later are detected.

  Note that the acquisition unit 101, selection unit 102, output unit 103, detection unit 104, and recording unit 105 included in the information processing apparatus 100 illustrated in FIG. 1 are the ROM 402, RAM 403, and magnetic disk 405 in the navigation device 300 illustrated in FIG. The CPU 401 executes a predetermined program using a program or data recorded on the optical disc 407 or the like and controls each unit in the navigation device 300 to realize the function.

  That is, the navigation apparatus 300 of the present embodiment shows the functions of the information processing apparatus 100 shown in FIG. 1 by executing a program recorded in the ROM 402 as a recording medium in the navigation apparatus 300, as shown in FIG. Can be executed in the following procedure.

(Overview of operation program selection)
Next, an outline of selection of an operation program for the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) in the navigation apparatus 300 according to the present embodiment will be described with reference to FIG. FIG. 5 is an explanatory diagram illustrating an outline of selection of the operation program in the navigation device according to the present embodiment.

  In FIG. 5, a score table 500 shows a driving unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) that alerts the passengers with “tendency” types such as driving tendency, behavior, event, and conditions inside and outside the vehicle. ) And the score associated with the action.

  The driving tendency, behavior, and event of the “trend” type may be configured to set a rank. Specifically, for example, the rank of trend A is set in three stages of A1, A2, and A3. The three ranks are, for example, whether or not the rank is equal to or higher than the predetermined value of each rank using the G value by the output of the acceleration sensor, the vibration sensor, etc., the speed, the acceleration, the road noise, the angular velocity and the velocity according to the curve curvature. It is good also as performing ranking by determining.

  More specifically, for example, when the trend A indicates a rough driving tendency, the rank of A3 indicates the roughest driving tendency, and A1 may be the rank indicating the gentle driving tendency. In addition, the number of ranks is not limited to three. For example, there are two trends B and behavior D, and one behavior C and event E. There may be.

  The action indicates, for example, the action of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) that alerts the passenger, and is selected based on the “trend” type and the score according to the rank. As a result, an operation program corresponding to the operation is selected.

  Details will be described with reference to FIGS. 6 to 9. For example, the selection of the operation program is performed by, for example, “trend” for each “trend” (trend, behavior, event, and its rank) for selecting an operation. As shown in the score table 500, a score is given in advance as to whether or not improvement is effective. The score in advance may be, for example, a configuration determined by initial setting, or a configuration in which a high score is given for an operation that improves the “trend” by a test or survey.

  First, the navigation device 300 selects an operation with the highest score for the “trend” determined according to the output values acquired by the various sensors 416 while the driver is driving the vehicle. The operation program corresponding to is executed.

  Then, the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is operated according to the operation program, and the effect of whether or not the driving has been improved before and after the operation is measured. Based on the result of the measurement, the score is changed in real time, the operation of the next highest score is selected continuously, and the operation program corresponding to the operation is executed. Then, when a predetermined improvement is obtained, the selection for the current “trend” is terminated.

  Here, the predetermined improvement may be changed according to the number of times of selection of the operation until the determination operation, for example, for one acquisition of “trend”. In this way, it is possible to prevent the selection of the operation from being continued indefinitely when the predetermined improvement is not achieved. That is, when the operation of the next highest score is continuously selected, the degree of the predetermined improvement may be reduced every time. In particular, with regard to each “trend”, the operation that achieved particularly remarkable improvement, the operation that achieved an improvement over the specified level, the operation that first improved the “trend”, and finally the current “trend” An operation having a particularly improved effect, such as an operation that has been improved as a criterion for ending selection, may be designated as a “decision operation”, and a higher priority may be given to a subsequent operation selection or a higher score may be given.

  Thereafter, when “trend” is detected next, the same processing is performed using the score table 500 in which the previous score was changed. Thus, by selecting an operation while reviewing the score of the score table, it is possible to always select an optimal operation and prompt the driver to call for appropriate attention.

  Also, instead of selecting the action with the highest score, the actions with the same grade may be grouped, and the action with the longest elapsed time from the previous selection may be selected from the group. In addition, an operation with a small number of times of execution may be selected from a group having similar scores. Further, the history of determination operations for the same “trend” may be grouped. With such a selection, it is possible to prevent a reduction in the effect of alerting due to operation familiarity.

  In addition, when “trend” is detected, it is possible to first select a decision operation for the previous “trend”, determine whether an improvement effect has been obtained, and then select the operation with the highest score. Good.

  The score table 500 thus obtained may be recorded for each driver. In that case, the navigation apparatus 300 may be configured to have a function of recognizing the driver, and a more accurate operation program can be selected.

(Contents of processing of navigation device 300)
Next, the contents of the process of the navigation device 300 according to the present embodiment will be described with reference to FIG. FIG. 6 is a flowchart illustrating the contents of the processing of the navigation device according to the present embodiment. In the flowchart of FIG. 6, first, it is determined whether or not an index value serving as a criterion for determining a “trend” such as a driving tendency, behavior, event, or inside / outside car condition is acquired by various sensors 416 (step S601). . The index value may be an output value from, for example, an acceleration sensor or a vibration sensor.

  In step S601, waiting for the index value to be acquired, and when it is acquired (step S601: Yes), the CPU 401 determines the type and rank of the “trend” using the index value acquired in step S601. (Step S602). When a plurality of tendencies are determined at the same time, the rank of each “trend” type is determined.

  Next, the CPU 401 reads a score table recorded on a recording medium such as the magnetic disk 405 or the optical disk 407 (step S603). The score table is, for example, the score table 500 shown in FIG. 5 and the like, and the description is omitted in FIG. 6, but may be configured to be recorded for each driver.

  Then, the CPU 401 selects an operation according to the rank determined in step S602, using the score table read in step S603 (step S604).

  Then, the CPU 401 evaluates the score based on the improvement of the “trend” in the result of operating the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) according to the operation program corresponding to the operation selected in step S604. After reviewing (step S605), a series of processing ends.

  Here, the processing of the navigation device 300 according to the present embodiment will be specifically described with reference to FIGS. 5 and 7 to 9 described above.

  In the score table 500, for example, the operation a is an operation expressing anxiety accompanied by anger by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation a, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed toward the driver, and the whole body or part of the body emits red light. The arm may be greatly swung up and down toward the driver's face.

  In addition, the operation b is an operation that expresses light anxiety by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3), for example. More specifically, for example, in the operation b, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed forward, and the whole body or a part of the body emits yellow light, and the top of the head is driven. It is also possible to swing several times to the left and right with reference to the direction of the person, and swing the arm up and down moderately.

  Further, the operation c is an operation that expresses great pleasure by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation c, the body portion of the drive unit 418 (for example, the in-vehicle robot 310 in FIG. 3) is directed toward the driver, and the whole body or a part is caused to emit blue light. The top part may be shaken up and down, the arm may be greatly spread out, stopped for a while, and then restored.

  In addition, the operation d is, for example, an operation expressing anxiety accompanied by sadness by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation d, the direction of the body part in the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed to the driver, and the whole body or part of the body emits yellow light. The driver may be swung several times to the left and right based on the direction of the driver, and the arm may be swung up and down moderately.

  Further, the operation z is an operation that expresses light pleasure by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation d, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed forward, the whole body or a part is emitted blue, and the top of the head is moved up and down. It is also possible to repeat the operation of swinging to the middle, raising the arm to the middle, and then returning to the original.

  For example, when the navigation device 300 acquires an index indicating the rank A3 for the trend A in the score table 500, the navigation device 300 selects the operation a having the highest score from the operations corresponding to A3.

  Then, the navigation device 300 executes the operation program corresponding to the operation a, acquires an index obtained as a result, and determines whether or not the improvement is made from A3. And the navigation apparatus 300 will review the score of the score table 500 based on the determination result of whether it was improved.

  Specifically, for example, the operation may be selected repeatedly, repeatedly until one rank is lowered (that is, improved by one rank), or repeatedly until a predetermined rank (for example, A1) is reached. Or you may. Here, the process is repeated until the rank is improved to the A1 rank. However, after the third selection, the process will be terminated if the first rank is improved by one rank or more. Further, the review of the score may be performed by the following method, for example.

・ If 2 ranks increase (that is, 2 ranks worse), 3 points will be deducted.
・ If the rank increases by 1 (ie worse by 1 rank), 2 points will be deducted.
・ If there is no change in rank (ie no effect), 1 point will be deducted.
・ If the rank is lowered by 1 (ie, improved by 1 rank), the score is deferred.
・ In case of 2 rank drop (ie 2 rank improvement), 1 point will be added.
・ If the rank is improved immediately before the selection is completed, one more point will be added as a decision operation.

  FIG. 7 is an explanatory diagram of a review result (part 1) of the rating in the navigation device according to the present embodiment.

  First, when an index indicating A3 is obtained from an index obtained as a result of executing the operation program corresponding to the operation a on A3 in the score table 500 shown in FIG. 5, the rank does not change, The score for action A3 for A3 is decremented by 1 from 3, resulting in 2, and as a result of the review of the score, a score table 700 is obtained.

  Subsequently, in the score table 700, the motion d having the highest score is selected from the motions corresponding to A3. When an index indicating A2 is obtained from an index obtained as a result of executing the operation program corresponding to the operation d for A3 in the score table 700, the score for the A3 of the operation d remains 2 and As a result, the score table 700 remains as it is. Here, as an example, the operation d has been described as the highest score, but the score table 700 may be configured to review the score again for the operation a having the same score.

  Then, the operation z having the highest score is selected from the operations corresponding to A2. The highest score among the operations corresponding to A2 is 2, and any of the operation a, the operation d, and the operation z may be used. In this embodiment, the operation z is set.

  FIG. 8 is an explanatory diagram of a review result (part 2) of the rating in the navigation device according to the present embodiment. When an index indicating A1 is obtained from an index obtained as a result of executing an operation program corresponding to the operation z for A2 in the score table 700, the score is 1 point for improving the rank by determining the operation z as a determining operation. Then, one point of the determination operation is added, and the score for A2 of the operation z is increased by 1 from 2 to 3, and as a result of the review of the score, a score table 800 is obtained. Here, since the score table 800 is improved from rank A3 to rank A1 in the score table 500, the selection is finished.

  FIG. 9 is an explanatory diagram of a review result (part 3) of the rating in the navigation device according to the present embodiment. When an index indicating A2 is obtained from an index obtained as a result of executing the operation program corresponding to the operation z for A2 in the score table 700, the score for A2 of the operation z is deducted by 1 from 2, and 1 As a result of the review of the score, the score table 900 is obtained. Here, since the score table 900 is the third selection operation from the score table 500 and has been improved from the A3 rank, the selection is finished.

  As described above, according to the navigation device of the present embodiment, the score table is reviewed by selecting an operation with a high score according to the “trend” and determining whether or not the “trend” has been improved. Therefore, it is possible to create a score table that is optimal for selecting an action. That is, since an operation is selected based on the optimum score table and the passenger is alerted, safe driving can be ensured.

  Furthermore, according to the navigation device of the present embodiment, the operation can be controlled by at least one of the light output, the operation output, and the sound output by the drive unit (vehicle-mounted robot). It is possible to imagine an action showing a warning easily. In addition, if the appearance of the drive unit (vehicle-mounted robot) is familiar to the driver, the driver's consciousness can be raised, and the driver can understand the operation reliably and optimally and perform safe driving. Can be planned.

  The information processing method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a transmission medium that can be distributed via a network such as the Internet.

  The present invention relates to an information processing apparatus that processes information, an information processing method, an information processing program, and a computer-readable recording medium. However, the use of the present invention is not limited to the above-described information processing apparatus, information processing method, information processing program, and computer-readable recording medium.

  The traveling of a moving body such as a vehicle may cause an accident due to dangerous traveling such as sudden start, sudden stop, and sudden handle. In recent years, in order to make the driver aware of safe driving, it has been proposed to detect such dangerous driving and output a warning guidance by voice when dangerous driving is detected (for example, the following patents) Reference 1).

JP 2002-251699 A

  However, in the above-described conventional technology, even if the warning guidance is output by voice, whether or not to perform safe driving depends on the driving of the driver and cannot be confirmed. Therefore, even if the safe driving cannot be urged by the voice output of the warning guidance for the predetermined dangerous driving, the same warning guidance is repeated for the predetermined dangerous driving. As an example, there is a problem that the driver's concentration is distracted by the extra voice output.

  On the other hand, even if there is an effect of promoting safe driving to some extent by the sound output of the warning guidance for a predetermined dangerous driving, the driver repeats the same warning guidance for the predetermined dangerous driving. One example is the problem of getting used to and not being able to encourage safe driving.

  In addition, since the above-described conventional technology is configured to output the warning guidance by voice, if the driver misses or the driver is difficult to hear, the content of the warning guidance is difficult to understand, and safe driving cannot be promoted. The problem is given as an example.

  In order to solve the above-described problems and achieve the object, an information processing apparatus according to a first aspect of the present invention includes an acquisition unit that acquires travel state information related to a travel state of a mobile body, and the mobile body that operates by itself. A drive unit that alerts the driver, a plurality of operation information indicating the operation of the drive unit, and trend information indicating a driving tendency in the moving body, a recording unit that records in advance a score associated with the driving unit, Selection means for selecting operation information having a high score corresponding to the trend information according to the acquired traveling state information, operation means for operating the drive unit based on the selected operation information, and the drive As a result of the operation of the unit, detection means for detecting fluctuation information related to fluctuations in the running state of the moving body, and the selected based on the detected fluctuation information Characterized by comprising changing means for changing a score corresponding to create information.

  According to a fourth aspect of the present invention, there is provided an information processing method comprising: an acquisition step of acquiring travel state information relating to a travel state of a moving body; and an operation of a drive unit that alerts a driver of the mobile body by operating itself. In accordance with the recording process for pre-recording a score associated with a plurality of movement information indicating the tendency of driving in the mobile body, and the trend information indicating the driving tendency in the mobile body, A selection step of selecting corresponding operation information having a high score, an operation step of operating the drive unit based on the selected operation information, and a change in the running state of the moving body as a result of the operation of the drive unit. A detecting step for detecting variation information relating to the information, and a changing step for changing a score corresponding to the selected operation information based on the detected variation information. And features.

  An information processing program according to claim 5 causes a computer to execute the information processing method according to claim 4.

  A computer-readable recording medium according to a sixth aspect of the invention records the information processing program according to the fifth aspect.

It is a block diagram which shows an example of a functional structure of the information processing apparatus concerning this Embodiment. It is a flowchart which shows the content of the process of the information processing apparatus concerning this Embodiment. It is explanatory drawing which shows an example of dashboard vicinity of the vehicle by which the navigation apparatus concerning a present Example was installed. It is a block diagram which shows an example of the hardware constitutions of the navigation apparatus concerning a present Example. It is explanatory drawing which shows the outline | summary of selection of the operation program in the navigation apparatus concerning a present Example. It is a flowchart which shows the content of the process of the navigation apparatus concerning a present Example. It is explanatory drawing which shows the result (the 1) of review of the score in the navigation apparatus concerning a present Example. It is explanatory drawing which shows the result (the 2) of the review of the score in the navigation apparatus concerning a present Example. It is explanatory drawing which shows the result (the 3) of review of the score in the navigation apparatus concerning a present Example.

  Exemplary embodiments of an information processing apparatus, an information processing method, an information processing program, and a computer-readable recording medium according to the present invention are explained in detail below with reference to the accompanying drawings.

(Embodiment)
(Functional configuration of information processing device)
A functional configuration of the information processing apparatus according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram illustrating an example of a functional configuration of the information processing apparatus according to the present embodiment.

  In FIG. 1, the information processing apparatus 100 includes an acquisition unit 101, a selection unit 102, an output unit 103, a detection unit 104, and a recording unit 105.

  The acquisition unit 101 acquires travel state information related to the travel state of the moving object. The traveling state information is, for example, information including a driving tendency of the driver of the moving body, a sudden event or behavior that has occurred in the moving body, and the like. The driving tendency is, for example, information including the driving skill of the driver, the intensity of driving, the quietness, etc., and can be obtained from the driving history of the driver by authenticating the driver, or during driving It is good also as acquiring based on the output value of the sensor regarding the behavior of driving.

  A sudden event or behavior may be, for example, a collision with another object, a sudden acceleration (deceleration) speed, or a sudden change in traveling direction. It is good also as detecting according to it. Further, the traveling state information may include information indicating the state inside and outside the vehicle. Information indicating the state inside and outside the vehicle is, for example, the distance between the front and rear vehicles, information on obstacles ahead on the road, information indicating the situation of passengers in the rear seat, information on right and left turn points, traffic congestion information, etc. It may be acquired from a sensor, microphone, or car navigation system that monitors inside and outside the vehicle, or may be acquired from the media or the Internet.

  The selection unit 102 selects the alerting information for alerting the driver of the moving body from the alerting information candidate group according to the running state information acquired by the acquiring unit 101. For example, the alerting candidate group may be recorded on a recording medium (not shown). The alert information is, for example, information for calling attention to a passenger of a moving body, and is output by the output unit 103 described later, thereby prompting the passenger to be alerted. Further, the alert information includes any information that is output for the purpose of improving the running state, whether directly or indirectly. For example, it may be a word that directly demands improvement of rough driving, and by expressing emotions such as joy and anxiety according to the driving situation, the in-vehicle robot shares the driving situation with the driver for the driver An indirect expression may be obtained in which the driver feels that the driver feels like, and the driver is motivated to improve his / her emotional expression, and he / she tries to obtain an effect of improving the rough driving.

  Specifically, for example, the selection unit 102 may select alerting information that alerts the driver with a robot mounted on the moving body. That is, the selection unit 102 may select the alert information that alerts the driver by at least one of the light output, the motion output, and the sound output of the robot, for example.

  Further, the selection unit 102 may select the alert information according to the running state information with reference to output information recorded by the recording unit 105 described later and variation information detected by the detection unit 104 described later. Good.

  The output unit 103 outputs the alert information selected by the selection unit 102. Specifically, for example, the output unit 103 may be configured to output a control signal for controlling the robot as output information to the robot. More specifically, for example, the output unit 103 may output a control signal for controlling at least one of light output, motion output, and sound output of the robot as output information to the robot.

  As a result of the alert information output by the output unit 103, the detection unit 104 detects variation information related to variation in the traveling state of the moving object. Specifically, for example, the detection unit 104 determines whether or not the traveling state has been improved based on the difference between the traveling state information acquired before and after the output of the output information acquired by the acquiring unit 101, and based on the determination result. Then, the improvement degree of the running state is calculated as the fluctuation information. The degree of improvement may be, for example, a value that is accumulated and stored in association with output information described later, or a value that increases or decreases each time.

  The recording unit 105 records the alert information (hereinafter referred to as “output information”) output by the output unit 103 and the fluctuation information detected by the detection unit 104 in association with each other. For example, the output information and the variation information may be recorded on a recording medium (not shown), and the improvement degree that is the variation information may be recorded for a plurality of pieces of output information. In other words, the degree of improvement calculated using the running state that has fluctuated according to the output information for alerting the driver is recorded in association with the output information that has caused the fluctuation.

(Contents of information processing equipment processing)
Next, the contents of processing of the information processing apparatus 100 according to the present embodiment will be described with reference to FIG. FIG. 2 is a flowchart showing the contents of processing of the information processing apparatus according to this embodiment. In the flowchart of FIG. 2, first, it is determined whether or not the acquisition unit 101 has acquired the traveling state information of the moving body (step S201).

  In step S201, it waits for acquisition of driving state information, and when it acquires (step S201: Yes), according to the driving state information acquired in step S201 by the selection part 102, alerting information candidate group. The alerting information for alerting the driver of the moving body is selected from the inside (step S202).

  Next, the alerting information selected in step S202 is output by the output unit 103 (step S203). The alert information may be output, for example, by outputting a control signal for controlling the robot as output information to the robot.

  Then, as a result of the alert information output in step S203 by the detection unit 104, variation information relating to variation in the running state of the moving object is detected (step S204). The fluctuation information is acquired by, for example, determining whether or not the running state has been improved based on the difference between the running state information obtained before and after the output of the output information obtained by the obtaining unit 101, and based on the determination result, the fluctuation information is obtained. It is good also as calculating the improvement degree of driving state as follows.

  Thereafter, the recording unit 105 records the output information and the fluctuation information (step S205), and the series of processes is terminated. Specifically, for example, the output information and the variation information are recorded by associating the output information that is the alert information output by the output unit 103 with the variation information detected by the detection unit 104.

  Although not described in the flowchart of FIG. 2, in step S202, the alert information is selected according to the running state information with reference to the output information recorded in step S205 and the fluctuation information detected in step S204. It is good to do. That is, by repeatedly performing the process of the flowchart of FIG. 2, the alert information for alerting may be output based on the output information and the variation information that are cumulatively recorded in S205. Moreover, it is good also as accumulating information instead of recording cumulatively, determining the average and tendency, and outputting the alert information for alerting based on it. Further, by performing the processing of the flowchart of FIG. 2 in real time, based on the latest output information and fluctuation information recorded in S205, the alert information whose contents are reviewed in real time due to fluctuations in the running state may be output. Good.

  The information processing apparatus, the information processing method, the information processing program, and the computer-readable recording medium of the present invention are realized by the information processing apparatus 100 shown in FIG. The apparatus is not limited to 100, and a plurality of apparatuses may be used as long as the function unit illustrated in FIG. When each functional unit is connected as a different device, the connection between the devices may be established by performing communication using Bluetooth (registered trademark) or the like, regardless of wired or wireless.

  As described above, according to the present embodiment, it is possible to detect a running state that has fluctuated due to the output of alerting information, and to record the output information and the fluctuation information in association with each other. Therefore, it is possible to confirm whether or not an effect has been obtained by the output information from the recording of the output information and the fluctuation information, and it can be used for selection of subsequent alert information. That is, safe driving by the driver can be achieved by output of appropriate alerting information.

  In addition, since the output information and the variation information are repeatedly recorded, it is possible to select the alert information that can always obtain the maximum effect. In other words, it is possible to prevent a decrease in the effect due to the driver's familiarity.

  Furthermore, since the variation information can be represented by the degree of improvement based on whether or not the traveling state has been improved, the user can easily confirm the evaluation regarding the effect of the output information.

  In addition, it is possible to alert the driver by outputting a control signal that controls at least one of light output, motion output, and sound output by the robot. Understand and drive safely.

  Examples of the present invention will be described below. In the present embodiment, an example in which the information processing apparatus of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) will be described.

(Peripheral device configuration of navigation device)
First, the configuration of peripheral devices of the navigation device according to the present embodiment will be described with reference to FIG. FIG. 3 is an explanatory diagram illustrating an example of the vicinity of the dashboard of the vehicle in which the navigation device according to the present embodiment is installed.

  In FIG. 3, the navigation apparatus 300 is installed on the dashboard of the vehicle. The navigation device 300 includes a main body M and a display unit (display) D. The display unit D displays the current location of the vehicle, map information, the current time, and the like.

  The navigation device 300 is connected to a vehicle-mounted robot 310 installed on the dashboard. The vehicle-mounted robot 310 includes a camera, a lamp, a microphone, a speaker, and the like (not shown), and performs various outputs according to control of a control signal output from the navigation device 300.

  The vehicle-mounted robot 310 has a shape imitating a human or an animal, for example, and includes a drive unit such as an arm on the left and right sides, and controls control signals output from the navigation device 300. Accordingly, the operation output of the drive unit may be performed. Furthermore, the vehicle-mounted robot 310 may be configured to include a drive unit that swings the top / bottom / left / right and performs operation output of the drive unit in accordance with control of a control signal output from the navigation device 300. Also good.

  Specifically, for example, the top of the vehicle-mounted robot 310 may function as a camera, and the camera can rotate in the horizontal direction and the vertical direction to capture images inside and outside the vehicle. Further, the vehicle-mounted robot 310 may be configured to include a lamp, a microphone, and a speaker on the body portion, and may perform light output and sound collection and output using the lamp, the microphone, and the speaker. In addition, a display unit for displaying images, characters, and the like or a function for speaking words may be provided.

  Further, the in-vehicle robot 310 may be able to emit the whole body or a part thereof, and the in-vehicle robot 310 may be lit and blinked in various colors in accordance with control of a control signal output from the navigation device 300. .

  With the configuration shown in FIG. 3, in this embodiment, the vehicle-mounted robot 310 performs various outputs according to the control of the control signal output from the navigation device 300, so that the driver is urged to call attention. It has become.

  Details will be described with reference to FIG. 5 to FIG. 9, but the navigation apparatus 300 obtains indicators and information indicating driving trends, behaviors and events, and conditions inside and outside the car, Based on the set score, an operation program in the vehicle-mounted robot 310 for indicating an operation to alert a passenger such as a driver or a passenger is determined. That is, the driver can be alerted by the vehicle-mounted robot 310 that operates according to the control of the control signal output by the determined operation program.

  The action to call attention may be, for example, an action that expresses a pseudo emotion caused by a driving tendency, behavior, event, or situation inside or outside the car. Specifically, for example, the pseudo-emotion may be anxiety with anger, light anxiety, great joy, anxiety with sadness, light joy, etc. Good.

  That is, by using the vehicle-mounted robot 310 as a passenger who is anxious to the driver, such as when a child or a pet is riding on the vehicle, the driver is motivated to feel at ease and to drive safely. Can be given. The in-vehicle robot 310 acquires the driving situation and expresses emotions such as joy and anxiety according to the driving situation, so that the in-vehicle robot feels like the driving situation with the driver. The driver is motivated to receive the emotional expression and is willing to improve if the driving is rough, and continue if the driving is good.

(Hardware configuration of navigation device 300)
Next, a hardware configuration of the navigation device 300 according to the present embodiment will be described with reference to FIG. FIG. 4 is a block diagram illustrating an example of a hardware configuration of the navigation device according to the present embodiment.

  In FIG. 4, a navigation device 300 is mounted on a moving body such as a vehicle, and includes a CPU 401, ROM 402, RAM 403, magnetic disk drive 404, magnetic disk 405, optical disk drive 406, optical disk 407, and audio. I / F (interface) 408, microphone 409, speaker 410, input device 411, video I / F 412, display 413, communication I / F 414, GPS unit 415, various sensors 416, and camera 417 And a drive unit 418. Each component 401 to 418 is connected by a bus 420.

  First, the CPU 401 governs overall control of the navigation device 300. The ROM 402 records programs such as a boot program, a route search program, a route guidance program, a voice generation program, a map information display program, and an operation program. The RAM 403 is used as a work area for the CPU 401.

  Here, the route search program searches for an optimal route from the departure point to the destination point using map information recorded on the optical disc 407 described later. Here, the optimum route is the shortest (or fastest) route to the destination point or the route that best matches the conditions specified by the user. The guidance route searched by executing the route search program is output to the audio I / F 408 and the video I / F 412 via the CPU 401.

  The route guidance program is based on the guidance route information searched by executing the route search program, the current location information of the navigation device 300 acquired by the communication I / F 414, and the map information read from the optical disc 407. Real-time route guidance information can be generated. The route guidance information generated by executing the route guidance program is output to the audio I / F 408 and the video I / F 412 via the CPU 401.

  The sound generation program generates tone and sound information corresponding to the pattern. That is, based on the route guidance information generated by executing the route guidance program, the virtual sound source corresponding to the guidance point is set and the voice guidance information is generated and output to the voice I / F 408 via the CPU 401.

  Also, the map information display program determines the display format of the map information displayed on the display 413 by the video I / F 412 and displays the map information on the display 413 according to the determined display format.

  The operation program drives a drive unit 418, which will be described later, based on the driving tendency, behavior, and event of the vehicle. Details will be described with reference to FIG. 5 to FIG. 9, but the operation program is selected by a driving unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) described later according to driving tendency, behavior, or event. The operation program is selected and executed using the grade table so as to indicate an action to call attention to a passenger such as a passenger. The operation may be, for example, a mechanical operation, a light output by a sound output indicator, or a combination thereof.

  The magnetic disk drive 404 controls the reading / writing of the data with respect to the magnetic disk 405 according to control of CPU401. The magnetic disk 405 records data written under the control of the magnetic disk drive 404. As the magnetic disk 405, for example, an HD (hard disk) or an FD (flexible disk) can be used.

  The optical disc drive 406 controls reading / writing of data with respect to the optical disc 407 according to the control of the CPU 401. The optical disc 407 is a detachable recording medium from which data is read according to the control of the optical disc drive 406. As the optical disc 407, a writable recording medium can be used. In addition to the optical disk 407, the removable recording medium may be an MO, a memory card, or the like.

  One example of information recorded on the magnetic disk 405 and the optical disk 407 is map information used for route search / route guidance. The map information includes background data representing features (features) such as buildings, rivers, and the ground surface, and road shape data representing the shape of the road. The map information is displayed two-dimensionally or three-dimensionally on the display screen of the display 413. Drawn. When the navigation device 300 is guiding a route, the map information and the current location of the vehicle acquired by the GPS unit 415 described later are displayed in an overlapping manner.

  In this embodiment, the map information is recorded on the magnetic disk 405 and the optical disk 407. However, the present invention is not limited to this. The map information is not recorded only on the one provided integrally with the hardware of the navigation device 300, and may be provided outside the navigation device 300. In that case, the navigation apparatus 300 acquires map information via a network through communication I / F414, for example. The acquired map information is stored in the RAM 403 or the like.

  The audio I / F 408 is connected to a microphone 409 for audio input and a speaker 410 for audio output. The sound received by the microphone 409 is A / D converted in the sound I / F 408. Also, sound is output from the speaker 410. Note that the voice input from the microphone 409 can be recorded on the magnetic disk 405 or the optical disk 407 as voice data.

  The microphone 409 and the speaker 410 may be installed, for example, in a drive unit 418 (for example, the in-vehicle robot 310 in FIG. 3) described later, and performs rotation driving according to the control of the operation program described above and Input / output may be performed.

  Examples of the input device 411 include a remote controller including a plurality of keys for inputting characters, numerical values, various instructions, a keyboard, a mouse, a touch panel, and the like.

  The video I / F 412 is connected to the display 413 and the camera 417. Specifically, the video I / F 412 includes, for example, a graphic controller that controls the entire display 413, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller. Based on the output image data, the display 413 is configured by a control IC that controls display.

  The display 413 displays icons, cursors, menus, windows, or various data such as characters and images. As the display 413, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be adopted. The display 413 is installed in a manner like the display unit D in FIG. 3, for example.

  In addition, the display 413 and the camera 417 may be installed in, for example, a drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) to be described later. It is good also to do.

  Specifically, for example, the camera 417 captures an image inside or outside the vehicle. The image may be either a still image or a moving image. For example, the behavior of the passenger inside the vehicle may be photographed by the camera 417, or the situation outside the vehicle may be photographed. For example, the captured video may be output to a recording medium such as the magnetic disk 405 or the optical disk 407 via the video I / F 412 or used for determination of driving tendency, behavior, or event, which will be described later.

  In addition, the communication I / F 414 is connected to a network via wireless and functions as an interface between the navigation device 300 and the CPU 401. The communication I / F 414 is further connected to a communication network such as the Internet via wireless, and also functions as an interface between the communication network and the CPU 401.

  Communication networks include LANs, WANs, public line networks and mobile phone networks. Specifically, the communication I / F 414 includes, for example, an FM tuner, a VICS (Vehicle Information and Communication System) / beacon receiver, a radio navigation device, and other navigation devices. Get road traffic information such as regulations. VICS is a registered trademark.

  Further, the GPS unit 415 uses a received wave from a GPS satellite and output values from various sensors 416 (for example, an angular velocity sensor, an acceleration sensor, a tire rotation number, etc.) to be described later, and the current position of the vehicle (navigation device 300). Information indicating the current location). The information indicating the current location is information for specifying one point on the map information such as latitude / longitude and altitude. In addition, the GPS unit 415 outputs an odometer, a speed change amount, and an azimuth change amount using output values from the various sensors 416. This makes it possible to analyze dynamics such as sudden braking and sudden steering.

  The various sensors 416 are a vehicle speed sensor, an acceleration sensor, an angular velocity sensor, and the like, and output values thereof are used for calculation of the current point by the GPS unit 415 and measurement of changes in speed and direction. The various sensors 416 also include sensors that detect each operation of the vehicle by the driver. The detection of each operation of the vehicle may be configured to detect, for example, steering operation, turn signal input, accelerator pedal depression, brake pedal depression, or the like.

  Further, the various sensors 416 may detect the mind and body state of the passenger. The detection of the state of mind and body may be performed by, for example, detecting the pulse or blood pressure of the occupant with a skin grounding sensor. Or you may detect a passenger's perspiration with another human body sensor. By such outputs of the various sensors 416, driving tendencies, behaviors, and events described later are detected.

  Note that the acquisition unit 101, selection unit 102, output unit 103, detection unit 104, and recording unit 105 included in the information processing apparatus 100 illustrated in FIG. 1 are the ROM 402, RAM 403, and magnetic disk 405 in the navigation device 300 illustrated in FIG. The CPU 401 executes a predetermined program using a program or data recorded on the optical disc 407 or the like and controls each unit in the navigation device 300 to realize the function.

  That is, the navigation apparatus 300 of the present embodiment has the functions provided in the information processing apparatus 100 shown in FIG. 1 by executing a program recorded in the ROM 402 as a recording medium in the navigation apparatus 300, as shown in FIG. Can be executed in the following procedure.

(Overview of operation program selection)
Next, an outline of selection of an operation program for the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) in the navigation apparatus 300 according to the present embodiment will be described with reference to FIG. FIG. 5 is an explanatory diagram illustrating an outline of selection of the operation program in the navigation device according to the present embodiment.

  In FIG. 5, a score table 500 shows a driving unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) that alerts the passengers with “tendency” types such as driving tendency, behavior, event, and conditions inside and outside the vehicle. ) And the score associated with the action.

  The driving tendency, behavior, and event of the “trend” type may be configured to set a rank. Specifically, for example, the rank of trend A is set in three stages of A1, A2, and A3. The three ranks are, for example, whether or not the rank is equal to or higher than the predetermined value of each rank using the G value by the output of the acceleration sensor, the vibration sensor, etc., the speed, the acceleration, the road noise, the angular velocity and the velocity according to the curve curvature. It is good also as performing ranking by determining.

  More specifically, for example, when the trend A indicates a rough driving tendency, the rank of A3 indicates the roughest driving tendency, and A1 may be the rank indicating the gentle driving tendency. In addition, the number of ranks is not limited to three. For example, there are two trends B and behavior D, and one behavior C and event E. There may be.

  The action indicates, for example, the action of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) that alerts the passenger, and is selected based on the “trend” type and the score according to the rank. As a result, an operation program corresponding to the operation is selected.

  Details will be described with reference to FIGS. 6 to 9. For example, the selection of the operation program is performed by, for example, “trend” for each “trend” (trend, behavior, event, and its rank) for selecting an operation. As shown in the score table 500, a score is given in advance as to whether or not improvement is effective. The score in advance may be, for example, a configuration determined by initial setting, or a configuration in which a high score is given for an operation that improves the “trend” by a test or survey.

  First, the navigation device 300 selects an operation with the highest score for the “trend” determined according to the output values acquired by the various sensors 416 while the driver is driving the vehicle. The operation program corresponding to is executed.

  Then, the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is operated according to the operation program, and the effect of whether or not the driving has been improved before and after the operation is measured. Based on the result of the measurement, the score is changed in real time, the operation of the next highest score is selected continuously, and the operation program corresponding to the operation is executed. Then, when a predetermined improvement is obtained, the selection for the current “trend” is terminated.

  Here, the predetermined improvement may be changed according to the number of times of selection of the operation until the determination operation, for example, for one acquisition of “trend”. In this way, it is possible to prevent the selection of the operation from being continued indefinitely when the predetermined improvement is not achieved. That is, when the operation of the next highest score is continuously selected, the degree of the predetermined improvement may be reduced every time. In particular, with regard to each “trend”, the operation that achieved particularly remarkable improvement, the operation that achieved an improvement over the specified level, the operation that first improved the “trend”, and finally the current “trend” An operation having a particularly improved effect, such as an operation that has been improved as a criterion for ending selection, may be designated as a “decision operation”, and a higher priority may be given to a subsequent operation selection or a higher score may be given.

  Thereafter, when “trend” is detected next, the same processing is performed using the score table 500 in which the previous score was changed. Thus, by selecting an operation while reviewing the score of the score table, it is possible to always select an optimal operation and prompt the driver to call for appropriate attention.

  Also, instead of selecting the action with the highest score, the actions with the same grade may be grouped, and the action with the longest elapsed time from the previous selection may be selected from the group. In addition, an operation with a small number of times of execution may be selected from a group having similar scores. Further, the history of determination operations for the same “trend” may be grouped. With such a selection, it is possible to prevent a reduction in the effect of alerting due to operation familiarity.

  In addition, when “trend” is detected, it is possible to first select a decision operation for the previous “trend”, determine whether an improvement effect has been obtained, and then select the operation with the highest score. Good.

  The score table 500 thus obtained may be recorded for each driver. In that case, the navigation apparatus 300 may be configured to have a function of recognizing the driver, and a more accurate operation program can be selected.

(Contents of processing of navigation device 300)
Next, the contents of the process of the navigation device 300 according to the present embodiment will be described with reference to FIG. FIG. 6 is a flowchart illustrating the contents of the processing of the navigation device according to the present embodiment. In the flowchart of FIG. 6, first, it is determined whether or not an index value serving as a criterion for determining a “trend” such as a driving tendency, behavior, event, or inside / outside car condition is acquired by various sensors 416 (step S601). . The index value may be an output value from, for example, an acceleration sensor or a vibration sensor.

  In step S601, waiting for the index value to be acquired, and when it is acquired (step S601: Yes), the CPU 401 determines the type and rank of the “trend” using the index value acquired in step S601. (Step S602). When a plurality of tendencies are determined at the same time, the rank of each “trend” type is determined.

  Next, the CPU 401 reads a score table recorded on a recording medium such as the magnetic disk 405 or the optical disk 407 (step S603). The score table is, for example, the score table 500 shown in FIG. 5 and the like, and the description is omitted in FIG. 6, but may be configured to be recorded for each driver.

  Then, the CPU 401 selects an operation according to the rank determined in step S602, using the score table read in step S603 (step S604).

  Then, the CPU 401 evaluates the score based on the improvement of the “trend” in the result of operating the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) according to the operation program corresponding to the operation selected in step S604. After reviewing (step S605), a series of processing ends.

  Here, the processing of the navigation device 300 according to the present embodiment will be specifically described with reference to FIGS. 5 and 7 to 9 described above.

  In the score table 500, for example, the operation a is an operation expressing anxiety accompanied by anger by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation a, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed toward the driver, and the whole body or part of the body emits red light. The arm may be greatly swung up and down toward the driver's face.

  In addition, the operation b is an operation that expresses light anxiety by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3), for example. More specifically, for example, in the operation b, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed forward, and the whole body or a part of the body emits yellow light, and the top of the head is driven. It is also possible to swing several times to the left and right with reference to the direction of the person, and swing the arm up and down moderately.

  Further, the operation c is an operation that expresses great pleasure by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation c, the body portion of the drive unit 418 (for example, the in-vehicle robot 310 in FIG. 3) is directed toward the driver, and the whole body or a part is caused to emit blue light. The top part may be shaken up and down, the arm may be greatly spread out, stopped for a while, and then restored.

  In addition, the operation d is, for example, an operation expressing anxiety accompanied by sadness by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation d, the direction of the body part in the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed to the driver, and the whole body or part of the body emits yellow light. The driver may be swung several times to the left and right based on the direction of the driver, and the arm may be swung up and down moderately.

  Further, the operation z is an operation that expresses light pleasure by the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3). More specifically, for example, in the operation d, the body part of the drive unit 418 (for example, the vehicle-mounted robot 310 in FIG. 3) is directed forward, the whole body or a part is emitted blue, and the top of the head is moved up and down. It is also possible to repeat the operation of swinging to the middle, raising the arm to the middle, and then returning to the original.

  For example, when the navigation device 300 acquires an index indicating the rank A3 for the trend A in the score table 500, the navigation device 300 selects the operation a having the highest score from the operations corresponding to A3.

  Then, the navigation device 300 executes the operation program corresponding to the operation a, acquires an index obtained as a result, and determines whether or not the improvement is made from A3. And the navigation apparatus 300 will review the score of the score table 500 based on the determination result of whether it was improved.

  Specifically, for example, the operation may be selected repeatedly, repeatedly until one rank is lowered (that is, improved by one rank), or repeatedly until a predetermined rank (for example, A1) is reached. Or you may. Here, the process is repeated until the rank is improved to the A1 rank. However, after the third selection, the process will be terminated if the first rank is improved by one rank or more. Further, the review of the score may be performed by the following method, for example.

・ If 2 ranks increase (that is, 2 ranks worse), 3 points will be deducted.
・ If the rank increases by 1 (ie worse by 1 rank), 2 points will be deducted.
・ If there is no change in rank (ie no effect), 1 point will be deducted.
・ If the rank is lowered by 1 (ie, improved by 1 rank), the score is deferred.
・ In case of 2 rank drop (ie 2 rank improvement), 1 point will be added.
・ If the rank is improved immediately before the selection is completed, one more point will be added as a decision operation.

  FIG. 7 is an explanatory diagram of a review result (part 1) of the rating in the navigation device according to the present embodiment.

  First, when an index indicating A3 is obtained from an index obtained as a result of executing the operation program corresponding to the operation a on A3 in the score table 500 shown in FIG. 5, the rank does not change, The score for action A3 for A3 is decremented by 1 from 3, resulting in 2, and as a result of the review of the score, a score table 700 is obtained.

  Subsequently, in the score table 700, the motion d having the highest score is selected from the motions corresponding to A3. When an index indicating A2 is obtained from an index obtained as a result of executing the operation program corresponding to the operation d for A3 in the score table 700, the score for the A3 of the operation d remains 2 and As a result, the score table 700 remains as it is. Here, as an example, the operation d has been described as the highest score, but the score table 700 may be configured to review the score again for the operation a having the same score.

  Then, the operation z having the highest score is selected from the operations corresponding to A2. The highest score among the operations corresponding to A2 is 2, and any of the operation a, the operation d, and the operation z may be used. In this embodiment, the operation z is set.

  FIG. 8 is an explanatory diagram of a review result (part 2) of the rating in the navigation device according to the present embodiment. When an index indicating A1 is obtained from an index obtained as a result of executing an operation program corresponding to the operation z for A2 in the score table 700, the score is 1 point for improving the rank by determining the operation z as a determining operation. Then, one point of the determination operation is added, and the score for A2 of the operation z is increased by 1 from 2 to 3, and as a result of the review of the score, a score table 800 is obtained. Here, since the score table 800 is improved from rank A3 to rank A1 in the score table 500, the selection is finished.

  FIG. 9 is an explanatory diagram of a review result (part 3) of the rating in the navigation device according to the present embodiment. When an index indicating A2 is obtained from an index obtained as a result of executing the operation program corresponding to the operation z for A2 in the score table 700, the score for A2 of the operation z is deducted by 1 from 2, and 1 As a result of the review of the score, the score table 900 is obtained. Here, since the score table 900 is the third selection operation from the score table 500 and has been improved from the A3 rank, the selection is finished.

  As described above, according to the navigation device of the present embodiment, the score table is reviewed by selecting an operation with a high score according to the “trend” and determining whether or not the “trend” has been improved. Therefore, it is possible to create a score table that is optimal for selecting an action. That is, since an operation is selected based on the optimum score table and the passenger is alerted, safe driving can be ensured.

  Furthermore, according to the navigation device of the present embodiment, the operation can be controlled by at least one of the light output, the operation output, and the sound output by the drive unit (vehicle-mounted robot). It is possible to imagine an action showing a warning easily. In addition, if the appearance of the drive unit (vehicle-mounted robot) is familiar to the driver, the driver's consciousness can be raised, and the driver can understand the operation reliably and optimally and perform safe driving. Can be planned.

  The information processing method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a transmission medium that can be distributed via a network such as the Internet.

DESCRIPTION OF SYMBOLS 100 Information processing apparatus 101 Acquisition part 102 Selection part 103 Output part 104 Detection part 105 Recording part

Claims (8)

Obtaining means for obtaining traveling state information relating to the traveling state of the moving body;
In accordance with the driving state information acquired by the acquisition unit, a selection unit that selects the alert information that alerts the driver of the mobile body from the alert information candidate group; and
Output means for outputting the alert information selected by the selection means;
As a result of the alerting information being output by the output means, detection means for detecting fluctuation information relating to fluctuations in the running state of the moving body;
A recording unit that records the alert information output by the output unit (hereinafter referred to as “output information”) and the variation information detected by the detection unit in association with each other;
An information processing apparatus comprising: The detection means includes
Determining means for determining whether or not the traveling state has been improved by acquiring a difference between traveling state information before and after the output of the output information;
Based on the determination result determined by the determination means, calculation means for calculating the improvement degree of the running state as the variation information;
The information processing apparatus according to claim 1, further comprising: The selection means includes
The information processing apparatus according to claim 1, further comprising: selecting alerting information corresponding to the running state information with reference to the output information and the variation information recorded by the recording unit. The selection means includes
Select alerting information to alert the driver by a robot mounted on the mobile body,
The output means includes
The information processing apparatus according to claim 1, wherein a control signal for controlling the robot is output to the robot as output information. The selection means includes
Select alert information to alert the driver by at least one of light output, motion output, and sound output of the robot,
The output means includes
The information processing apparatus according to claim 1, wherein a control signal for controlling at least one of light output, operation output, and sound output of the robot is output to the robot as output information. An acquisition step of acquiring traveling state information relating to the traveling state of the moving body;
In accordance with the driving state information acquired by the acquisition step, a selection step of selecting attention information to alert the driver of the moving body from a group of attention information candidates,
An output step of outputting the alert information selected by the selection step;
As a result of outputting the alert information by the output step, a detection step of detecting variation information related to variation in the running state of the moving body;
A recording step of associating and recording the alert information output by the output step (hereinafter referred to as “output information”) and the fluctuation information detected by the detection step;
An information processing method comprising:   An information processing program for causing a computer to execute the information processing method according to claim 6.   A computer-readable recording medium having the information processing program according to claim 7 recorded thereon.

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