JP2010066753A - Device and method for setting question - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device and a method for setting questions according to the type of user's means of transportation. <P>SOLUTION: The device for setting questions includes: a means of transportation determining section detecting the type of user's means of transportation or making the user input the type to determine the type of the means of transportation; a question holding section storing at least questions corresponding to the type of the means of transportation or creating and holding the questions; a question extracting section extracting a question detected by the means of transportation determining section or input by the user and corresponding to the type of means of transportation out of the question holding section; and an output section outputting the question extracted by the question extracting section. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a question assignment apparatus and a question assignment method, and more particularly, to an apparatus and method for giving a question according to the type of moving means used by a user.

For example, Patent Documents 1 and 2 disclose a system that effectively uses idle time such as a traffic jam or waiting time when riding in an automobile or the like.
In Patent Document 1, a communication center provided with a server for storing quizzes and problems communicates with a car navigation device provided in a car, and the car navigation device downloads desired problem data from the communication center and outputs the data. Is a system for transmitting to a communication center. The system of Patent Document 1 sets a start time for outputting problem data to the car navigation device in advance, and automatically switches to the quiz / learning mode at that time.
Patent Document 2 is a navigation device, which issues question data related to current position information based on current position information and map data for navigation. In particular, when the landmark in the map data is determined in advance and it is detected that the landmark falls within a predetermined range, the question data is presented.

Japanese Patent No. 3957713 JP 2007-2486574 A

Thus, although patent document 1 uses a car navigation apparatus, it does not give a problem according to the kind of moving means which the user is utilizing. In addition, the time for outputting the problem data is set in advance, and automatically switches to the quiz / learning mode at that time, but the moving means used by the user at the set time is running or stopped. It is unknown whether there is. Further, Patent Document 2 does not give question data in consideration of the type of moving means. In Patent Document 2, problem data related to the current position of the user is presented, but it is unclear whether the moving means used by the user is running or stopped.
However, depending on the type of moving means, such as whether the user is using a car, a train, a bicycle, or a walk, and the car, train, or bicycle is running or The degree of danger differs depending on whether the user is walking or stopped, and the user's attention to problems is different. Therefore, even if a problem related to the current position of the user is presented, depending on the type of moving means or while traveling or stopped, the problem may not be noticed or may not be answered.
SUMMARY OF THE INVENTION In view of the above problems, the present invention provides a problem questioning apparatus and method for outputting a problem corresponding to the type of moving means of a user.

In order to solve the above problem, the problem setting apparatus of the present invention inputs or detects the type of moving means of the user, a moving means determining unit, and a problem holding unit that holds at least a problem corresponding to the type of moving means, A problem extracting unit that extracts a problem corresponding to the type of moving unit determined by the moving unit determining unit from the problem holding unit; and an output unit that outputs the problem extracted by the problem extracting unit.
Here, the types of moving means of the user are, for example, automobiles, trains, bicycles, and walking, but other moving means may be used. Therefore, the present invention selects the problem to be asked according to whether the user is riding a car, a train or a bicycle, whether the user is walking, driving or stopping.
Problems include maps, history, national language, society, science, mathematics, music, English, and other problems such as foreign language, politics, economy, law, etc., including all problems. . Among them, the problem regarding the current position of the user is effectively used for the apparatus of the present invention. In addition to the problem, it may be a quiz or learning content in each of the above fields. In the present invention, it is called a problem including quizzes and learning contents.
According to the apparatus of the present invention having such a configuration, a problem is given according to the type of moving means used by the user. It is possible to keep the safety of the user so as not to perform.
In addition, while driving, even if you do not ask the driver a problem, you can give the problem to users other than the driver by outputting the problem to the monitor and speaker dedicated to the passenger seat and the rear seat monitor and speaker. It is also possible to do.
In addition, not only when actually driving in a car, but in a device that allows you to enjoy a simulated drive while watching the scenery displayed on the screen, the user sets the place to go before traveling, You can deepen your understanding of the place more happily by watching and answering the problems related to the place while watching the screen that displays the scenery of the place.

According to another aspect of the present invention, there is provided a problem assignment method, and in order to solve the above-described problem, at least a problem holding unit holding a problem corresponding to the type of moving means used by the user is provided and used by the user. A moving means determining step for determining moving means, a problem extracting step for extracting a problem corresponding to the determined type of moving means from the problem holding unit, and an output step for outputting the extracted problem are executed. .
As a result, a problem is given according to the type of moving means used by the user, so that a problem that is of interest to the user can be given and the safety of the user can be maintained.
In addition, while driving, even if you do not ask the driver a problem, you can give the problem to users other than the driver by outputting the problem to the monitor and speaker dedicated to the passenger seat and the rear seat monitor and speaker. It is also possible to do.
In addition, not only when actually driving in a car, but in software etc. where you can enjoy a drive while watching the scenery displayed on the screen, before setting the place where the user wants to go, You can deepen your understanding of the location more happily by watching and answering the problems related to the location while watching the screen that displays the scenery of the location.

  According to the present invention, there is provided a problem questioning apparatus and method for outputting a problem corresponding to the type of moving means of a user.

It is a block diagram which shows the structure of the question-taking apparatus of this invention. It is explanatory drawing of the use condition of the problem-taking apparatus of this invention. It is a process flowchart figure in case the problem-question apparatus of this invention produces the problem database 1 of the pattern A. It is a processing flowchart figure in case the problem-question apparatus of this invention produces the problem database 2 of the pattern B. It is a process flowchart figure in case the problem-question apparatus of this invention produces the problem database 3 of the pattern B. It is a process flowchart figure in case the problem-question apparatus of this invention produces the problem database 1 of the pattern D. It is a flowchart figure of the problem setting apparatus of this invention. It is a flowchart figure in case the problem-taking apparatus of this invention selects a problem.

FIG. 1 is a block diagram showing the configuration of the question-taking apparatus according to the present invention.
As the question-taking device 10 of the present invention, for example, an in-vehicle navigation device, a portable navigation device, a navigation device incorporated in a mobile phone, or a navigation device incorporated in a mobile device is used, and incorporated in such a device. Used on the way to commuting to school. Alternatively, it is commercialized as a single questioning device and used on the way to commuting and attending school. Of course, it may be used indoors or outdoors in addition to commuting. The question-taking device of the present invention is used as a quiz-taking device, or a map, history, national language, society, science, mathematics, music, English, in addition to being used as a playground equipment that interests a user and answers a question. It can be used as a learning device for politics, economy, law, etc.

The problem setting apparatus of the present invention includes an input unit 1, an output unit 2, a control unit 3, a ROM 4, and a RAM 5. Furthermore, it comprises a GPS 6, a sensor unit 7, and a problem creation unit 8. The input unit 1, the output unit 2, the control unit 3, the ROM 4, the RAM 5, the GPS 6, and the sensor unit 7 can be used in common with the navigation device.
The input unit 1 includes a keyboard unit 11 and a voice input unit 12. The keyboard unit 11 is a part for giving instructions and commands to the question-taking apparatus 1 of the present invention and inputting answers, and includes hiragana keys, alphabet keys, cursor keys, and the like. A mouse or a touch panel can be used instead of or together with the keyboard. The voice input unit 12 is a part in which the user inputs instructions and commands by voice and inputs answers to the question assignment device 1 of the present invention. Therefore, a microphone and a voice recognition device are provided. When the question-taking device of the present invention is for personal use or when a user can be specified, a specific speaker recognition device may be used. If the user cannot be identified, an unspecified speaker recognition device is used.
When the question-taking apparatus of the present invention is used as a foreign language learning machine, the input unit is provided with a translation unit 13, and when inputting an answer to a question, a foreign language such as English, French, German, Chinese, Input speech in Korean, etc., translate it into Japanese, and input it to the questioning device. Alternatively, a foreign language such as English, French, German, Chinese, or Korean is input from the keyboard, and the input is translated into Japanese and input to the questioning apparatus. When the question-taking apparatus according to the present invention has a foreign specification, it is input in the foreign language. Alternatively, it is translated into the foreign language and entered.

The output unit 2 includes a display unit 21 and an audio output unit 22. The display unit 21 is typically a liquid crystal display device, but can also be configured by a thin display device such as a plasma display device or an organic EL display device. When used as a navigation device, the display unit 21 displays a map or a route for navigation. Further, when the display unit 21 is used as a question-taking device, it gives a question. Or an answer is displayed.
The audio output unit 22 includes a speaker, and outputs a route guidance for navigation when used as a navigation device. When the voice output unit 22 is used as a question answering apparatus, the voice output unit 22 issues a question by voice. Alternatively, the answer is output by voice. When the question-taking apparatus 1 of the present invention is configured by a digital data processing circuit, the voice output unit 22 preferably includes a voice synthesizer or a digital-analog converter.
When the question-taking apparatus of the present invention is used as a foreign language learning machine, the output unit is provided with a translation unit 23, and when a question is given, foreign languages such as English, French, German, Chinese, Korean Translated into a voice, etc., or displayed on the display unit with characters. When the question-taking apparatus according to the present invention has a foreign specification, the foreign language is output. Alternatively, it is translated into the foreign language and output.

  The control part 3 is a part which controls the whole operation | movement of the problem-taking apparatus of this invention, and is provided with CPU31. The CPU 31 reads the operation system and application program stored in the ROM 4 and controls each part in accordance with the order stored in the program, thereby executing the function of the problem setting apparatus of the present invention. Here, the description will focus on the problem questioning device of the present invention, but the ROM 4 has a program for the navigation device, and controls the operation of the navigation device using the navigation program. The embodiment of the present invention reads a program and operates according to the program to realize the problem-answering apparatus of the present invention. However, each functional part may be configured by a logic circuit IC.

The ROM 4 includes a semiconductor ROM and a hard disk, and includes a problem data storage unit 41, a learning book, a dictionary data storage unit 42, a map data storage unit 43, a navigation data storage unit 44, an operation system, and an application program storage unit (not shown). .
The problem data storage unit 41 is a storage unit for storing the question / quiz data that is given by the question-taking apparatus of the present invention. It is desirable that problem data can be added by a flash memory or the like. Further, a communication means (not shown) may be provided to acquire a problem from a network or the like, and add this to the problem setting apparatus of the present invention. Problems include maps, history, national language, society, science, mathematics, music, English, and other problems such as foreign language, politics, economy, law, etc., including all problems. . Among them, the problem regarding the current position of the user is effectively used for the apparatus of the present invention. In addition to the problem, the learning content in each of the above fields may be used. In the present invention, problems, quizzes and learning contents are also referred to as problems. The above problems are not always all necessary, and only a part of the problems in the above field may be stored. These problems can be classified or searched according to the type of moving means used by the user. In addition, classification or search is enabled according to the area where the user moves. Further, classification or search is enabled according to whether the moving means is moving or stopped.

As the problem related to the current position of the user, an object existing ahead in the direction of travel is selected from the current position of the user, problem data related to the object is extracted, and this is presented. In this case, the target object is a natural object or an artificial target that is a target in the area. For example, local attractions (eg, symbol towers, famous buildings, buildings such as stations, and natural objects such as mountains, rivers, lakes, ponds, or famous places such as celebrity birthplaces, old houses), historic sites (eg, , Shrines, Buddhist temples, historic sites, etc.), public facilities (eg government offices, schools, parks, halls, etc.), and rest stations such as gas stations, convenience stores, service areas, restaurants, hotels, inns, etc. . In addition to these, the user may arbitrarily set landmarks. Further, data and information such as size, height, area, nationwide ranking, history, incidents, etc. are stored for the object.
The question data storage unit 41 stores the above question data and also stores an answer to the question. And the control part 3 compares the answer prepared beforehand with the user's answer with respect to the question which asked the question, determines the correctness of the answer, and outputs the determination result to an output part. It also accumulates correct / incorrect answers and outputs the correct answer rate.
The study book / dictionary data storage unit 42 is a study book / dictionary for all fields such as maps, history, national language, society, science, mathematics, music, English, politics, economy, law, etc. , Remember the encyclopedia. Each of these data is stored in association with a place. When a problem related to the place is created when passing through the place, the data stored in the learning book and dictionary data storage unit 42 is used. If data associated with the place is extracted, it becomes possible to create a question and its answer. These stored contents are examples, and more than this may be stored, or less than this. The contents of these learning books and dictionaries are classified or searched according to the type of moving means used by the user. Further, classification or search is enabled according to whether the moving means is moving or stopped. These learning books and dictionaries are used by the problem creating unit 8 to create a new problem.

The map data storage unit 43 stores at least map data of the user's movement range. Furthermore, it is desirable to store Japan map data, road map data, railway map data, restaurant map data, landmark data, and the like, and it is desirable that these map data can be updated. In the problem questioning apparatus of the present invention, the visible range of the map is limited such as the entire circumference of the user position, the horizontal direction, and the forward direction. In addition, the map data acquisition range is changed according to the type of moving means used by the user, for example, an automobile, a train, a bicycle, a walk, or a moving speed. That is, according to the moving speed, the angle range in which the map can be seen is changed, the scale of the map is changed, and the size of the visible characters is changed. For example, the angular range that looks like 90 degrees, 60 degrees, 30 degrees, and 15 degrees around the traveling direction of the moving means is changed at 4 km / h, 10 km / h, 40 km / h, and 60 km / h. When the moving speed is high, the scale of the map to be used is increased. When the moving speed is high, large character data displayed on the map data is acquired.
The application program stored in the application program storage unit is a program for operating the problem-taking device of the present invention, and is read by the CPU 3 and sequentially operates according to the program.
The navigation data storage unit 44 stores the travel route set by the navigation device. Further, navigation data is created at any time by the map data storage unit 43 and the GPS 6, and the travel history is stored.

  The RAM 5 is a part used as a work area by the problem questioning apparatus of the present invention. For example, question data is held, answer data is held, and answers to questions and answers from users are collated. In addition, history data necessary for creating problem data is held. This caused, for example, the location and time at which the intersection was bent during the run, the number of turns, the location and time of the tunnel that was passed, the number of times that the tunnel was passed, the time and the time that the route was taken I remember time. By memorizing these, it is possible to easily extract the number of turns when creating problem data, and the question “How many times has the intersection been bent since the previous question?” When you create a, you can compare the time when the problem was made and the time when it was bent, so that the number of times that the problem was answered can be determined after which time the number of turns should be counted. Can be easily created. Here, the number of times of bending is calculated based on the time, but it is also possible to more easily calculate the number of times of bending depending on the place where the problem occurred and the route so far.

Also, since the route traveled is memorized, in the case of the question “How many times have you passed through the tunnel after getting on the train?” It is easy to create an answer to this question. Here, when the route of the train and the road are parallel, it may be difficult to determine whether the moving means is walking, car, or train. In that case, the acceleration sensor 71 of the sensor unit 7 and the speed are described later. The determination can be made by the sensor 73, the altitude sensor 75, etc., and the determination can also be made by using the technology used in the current navigation.
Not limited to the above, history data necessary for creating a problem is stored in the RAM 5. Therefore, it functions as a problem holding unit, a problem extracting unit, and a matching unit.

The GPS 6 is a well-known device and acquires current position information including the latitude, longitude, altitude, and the like of the moving means.
The sensor unit 7 includes an acceleration sensor 71, an orientation sensor 72 that detects geomagnetism, a speed sensor 73, a travel distance sensor 74, an altitude sensor 75, and the like. These can use a well-known thing.
The problem creation unit 8 includes a current position information acquisition unit that acquires current position information from the GPS 6, a map data acquisition unit that acquires map data from the map data storage unit 43, and a map that matches the current position from the current position information and map data. Location name identification part that identifies the place name or area name in the data, area information acquisition part that obtains information on the current area from a study book or dictionary, object determination part that determines an object existing in the current area, and object part An object data acquisition unit for acquiring information, a speed data acquisition unit for acquiring movement speed data of the moving means from the speed sensor 73, and a travel distance data acquisition unit for acquiring travel distance data from the travel distance sensor 74 are provided. In addition, a navigation data acquisition unit that acquires travel history and navigation data from the navigation data storage unit 44 is provided. In addition to these, problem data may be acquired from a study book or a dictionary. Furthermore, the problem creation unit 8 includes a problem data extraction unit that extracts problem data corresponding to the patterns A to D from the problem data storage unit 41, and a confirmation problem data extraction unit for setting a confirmation problem before setting the problem. .
Then, based on these data, depending on the type of moving means and whether the moving means is running or stopped, a problem corresponding to any of patterns A to D prepared in advance as described below. A problem is created by extracting data and inserting the object data into the extracted problem data by the object data insertion unit. Alternatively, before the question is given, in order to give the confirmation question, the confirmation question data is extracted by the confirmation question data extraction unit, and the object data is inserted into the confirmation question data to create the confirmation question. In the claims, the problem data stored in the problem data storage unit 41 and the problem created by the problem creation unit 8 are collectively referred to as a problem holding unit.

The problem setting apparatus of the present invention is used as follows.
When the question-taking device of the present invention is configured using an in-vehicle navigation device, a portable navigation device, a mobile phone navigation device, or a mobile device navigation device, it can be used as a normal navigation device. Therefore, as with a normal navigation device, when a destination is input, a route from the departure point to the destination is searched, and every time the current position is detected by GPS, route guidance is provided by voice and screen or voice in order of the route. Done. In addition, it is possible to search for a gas station, a service area, a resting place, a restaurant, and the like existing near the current location. Such a navigation system is well known, and detailed description thereof is omitted here.

When using the question-taking apparatus of the present invention, first, acceleration is detected by the acceleration sensor 71 provided in the sensor unit 7, and the moving means used by the user is detected from the acceleration. Alternatively, by using the GPS 6 and the map data storage unit 43, a moving place such as a road or a railroad is detected. The acceleration sensor 71 detects the moving speed and detects whether the user is driving a car, riding a car, riding a train, riding a bicycle, or walking. Further, by using the altitude sensor 75, it is detected whether the user is at a high altitude, and whether the user is riding a car or a train or walking. Or, whether the user is driving a car, riding a car, riding a train, riding a bicycle, or walking, using a keyboard, mouse, or touch panel, is a problem questioning device of the present invention. input. In this manner, the type of moving means used by the user is determined by the sensor unit 7 or by user input.
Other vehicles such as motorcycles, streetcars, and ropeways may be classified as necessary, and the present invention is not limited to automobiles, trains, bicycles, and walks, and may not correspond to all of them.
For the input method, buttons such as “car driving”, “car riding”, “train”, “bicycle”, “walking”, “others” are displayed on the display unit 2, and the mouse or keyboard is used to move the cursor to this button. The input may be performed by clicking, or may be performed by the user touching the touch panel using the touch panel. Alternatively, driving, driving, train, bicycle, walking, etc. may be input from the keyboard.

  FIG. 2 shows the state of use of the question-taking apparatus according to the present invention, which will be described in the order of means of transportation, field of view range, and example of questions. When it is determined that the user is in a car by detecting that the user is in a car or inputting that he is in a car, the user drives the car as shown in FIG. However, since attention is paid to the front side of the road, it is possible to see the forward direction of the user in the current position of the user. Therefore, the problem-answering apparatus of the present invention selects a specific object from objects existing ahead in the direction of travel at the current position of the user, extracts problem data related to the object, and issues this. However, it is necessary to give questions so that driving of cars is not distracted. In this case, the target object is a natural object or an artificial target that is a target in the area. For example, local attractions (eg, symbol towers, famous buildings, stations, roads, and other natural objects such as mountains, rivers, lakes, ponds, or celebrity birthplaces, old houses), historic sites (For example, shrines, temples, historic sites, etc.), public facilities (for example, government offices, schools, parks, halls, etc.), and rest stations such as gas stations, convenience stores, service areas, restaurants, hotels, inns, etc. It is. In addition to these, the user may arbitrarily set landmarks. Furthermore, there are histories and incidents related to the object.

The problem-challenge device of the present invention detects the current position of the current running by the GPS 6 based on the latitude, longitude, and altitude, and collates the position with the map data storage unit 43 to identify the current running area and city. . Since the GPS 6 has poor height accuracy, the altitude sensor 75 may be used to supplement altitude related data. The object is extracted based on such position information, area, and city information, and a problem related to the object is extracted from the problem data storage unit 41. The order of extraction is, for example, the order of the degree of interest of the user, the order of famousness, the order of the size of characters displayed on the map data, and the order of the size of the area of the object.
For example, the following problems are extracted.
・ What city is your driving location?
・ What is the building in front of you?
・ It is ○ kilometer to the destination. How many kilometers per hour will you arrive in 30 minutes?
How many times have you ever turned to the right?
What is the name of the bridge you have passed now?
・ When will the building seen ahead be constructed?
・ What is the famous incident that occurred in this area?

If the acceleration sensor 71 detects that the car is stopped, it will give a question or a quiz that will promptly answer the question in a short time while paying attention to traffic signals, crossings, and pedestrians. The question is extracted from the problem data storage unit 41 and presented.
For example, there are the following problems.
・ What is the white building behind you?
・ How many times did you stop this time?
・ How many rivers are flowing on the right side?
What is the name of the intersection where you are stopped?
・ It is ○ kilometer to the destination. How many kilometers per hour will you arrive in 30 minutes?
What is the name of the gas station that was on the corner a while ago?
What is the name of the bridge you have passed now?
・ How many one-way streets have you had so far?

In addition, when the input unit 1 detects that the user has entered the front passenger seat or the rear seat while riding the car, or if the user has entered the car but is not driving, the user can move forward and left and right on the road. It is possible to see the back. Therefore, the problem-taking apparatus according to the present invention selects a target object from among the objects existing forward and left and right in the traveling direction at the current position of the user, extracts problem data related to the target object, and issues this question.
For example, there are the following problems.
What is the name of the mountain that can be seen behind the car?
・ What is the building in front of you?
What is the name of the park on the left side of your car?
What is the mineral that can be taken from the mountain on the right side of your car?
The temple on the right side of you is Horyu-ji, but how many years was it built?

Further, when the sensor unit 7 detects that the user is on the train, or inputs that the user is on the train, and determines that the user is on the train, as shown in FIG. It is possible to safely see the landscape in the horizontal direction of the track. In addition, a map can be displayed on the display unit 21 to give questions. Therefore, the problem / quiz questioning apparatus of the present invention selects a certain object from among the objects present in the left-right direction at the current position of the user, extracts the problem / quiz data related to the object, and issues this.
For example, there are the following problems.
・ Where is the next station?
・ What is the building visible from the left window?
・ What was the name of the convenience store next to the station that stopped?
・ What is the station that stopped twice before?
What is the name of the river that flows on the right side of the track?
-In what city is the train running now?
・ The train is running in Nara City, but how many JR stations are in Nara City?
・ How many tunnels have you passed through?

When the user is on the train and the train is stopped, it is possible to pay attention to the surroundings more slowly than when the user is traveling. Therefore, the problem-answering apparatus of the present invention selects a target object from among the objects present in the left-right direction at the current position of the user, extracts problem data related to the target object, and issues this question.
For example, there are the following problems.
What is the name of the gas station in front of the station on the left side of you?
What is the name of the bridge over the river that flows to your right side?
What is the name of the supermarket that can be seen on the left hand side?

When the sensor unit 7 detects that the user is riding a bicycle, or inputs that the user is riding a bicycle and determines that the user is riding a bicycle, the user is riding the bicycle while paying attention to the front. Moreover, since the traveling speed of the bicycle is about 5 to 20 km / h, it is possible to slowly look forward in the direction of travel of the user at the current position of the user. Therefore, the problem-taking apparatus of the present invention selects a certain object from among the objects existing ahead in the current position of the user, extracts problem data relating to the object, and issues this.
For example, there are the following problems.
-In what city are you running?
・ What is the name of the supermarket on the right front?
・ How many times have you stopped at the traffic signal so far?
・ How many times have you made a left turn so far?
What is the name of the convenience store that passed by a while ago?
・ It is ○ kilometer to destination. How many kilometers per hour will drive you in 30 minutes.
What is the name of the mountain you can see in the front left of you?

In addition, the sensor unit 7 makes it possible to pay attention to the surroundings more slowly when the user is riding a bicycle and the bicycle is stopped than when the user is traveling. Therefore, the problem-answering apparatus of the present invention selects a target object from among the objects present in the left-right direction at the current position of the user, extracts problem data related to the target object, and issues this question.
For example, there are the following problems.
・ What signal is your stop signal from home?
What is the building designated as an important cultural property on your left side?
What is the name of the World Heritage site that can be seen ahead?

When the user detects that he / she is walking or enters that he / she is walking and determines that he / she is walking, the user can arbitrarily view all directions as shown in FIG. Therefore, the problem-taking apparatus according to the present invention selects a target object from among the objects existing in all directions at the current position of the user, extracts problem data relating to the target object, and issues this question.
For example, there are the following problems.
What are the city buildings behind you?
How long is the river flowing in front of you in Japan?
・ What is the name of a convenience store when you turn right at the next intersection?

When the user is walking and stopped, he can stop and watch the surroundings slowly. Therefore, the problem-answering apparatus of the present invention selects a target object from among the objects present in the left-right direction at the current position of the user, extracts problem data related to the target object, and issues this question.
For example, there are the following problems. What is the red roof building next to the city hall that you can see behind you?
What is the 5-story building that you can see in front of you?
When the above problem is given, it can be translated into a foreign language by the translation unit 23 and output.

In addition, as described above, regardless of the transportation means used by the user, that is, regardless of whether it is a car, a train, a bicycle, or a walk, the problem related to the place where the user is located, indoors or outdoors, or not at all You can ask questions related to language, history, science, mathematics, English, etc. that are not related to the place or area. Or it can be used as a learning device.
For example, there are the following problems.
How many cities are you in?
・ What are the special products of the city?
・ In 794 C.E., the city became the capital. What is the name of the capital?
What is the longest river in Japan that flows through your town?
・ What is the highest mountain in the Kansai area?
・ How many golf courses are there in the destination city?
・ What is the reading of this Chinese character “apple”?
・ Voltage is called “volts” and current is called “amperes”.
・ What does “environment” mean in English?
・ What is the separation of powers? Please answer three.
・ How many years old must I put the autumn leaves mark when driving a car?
・ Please tell me the name of the former Prime Minister.

The problem described above is a case where the problem is stored in the problem data storage unit 43 in advance, and the problem is searched or extracted according to the type of moving means and whether the moving means is running or stopped. explained.
However, the problem creating unit 8 can create a problem based on the patterns A to D as described below. The question created as follows is used when the question data and the answer are stored in the question data storage unit 43 and the questions are given. That is, the problem creation unit 8 acquires current position information by the GPS 6, acquires map data near the current position from the map data storage unit 43, determines an object included in the map data, and acquires the object data. Then, a question pattern corresponding to the pattern A is extracted from the question data storage unit 41, the object data is inserted into the question data, and a question and an answer are created.
For example, the pattern A is created from map data stored in the map data storage unit 43.
That is, data relating to an arbitrary object such as a symbol mark in the area is acquired from the map data storage unit 43 at the current point. In this case, the objects are natural objects such as rivers, mountains, lakes, ponds, historic sites such as shrines, Buddhist temples, historical sites, government offices, schools, parks, halls, bridges, etc., famous buildings, stations All maps stored in the map data storage unit 43, such as celebrity birth houses, old houses, etc., gas stations, convenience stores, rest areas such as service areas, restaurants, hotels, inns, etc. It is data. The data related to the object includes the type, name, height, size, width, direction, color, construction year, incidents and history related to the object. In this case, the object can use not only the symbol mark but also all the map data stored in the map data storage unit 43 and the learning book and the data stored in the dictionary data storage unit 42.

  When the moving means is moving, the viewing angle, the character size of the character data to be acquired, and the scale of the map are changed according to the moving speed, and an object existing within the viewing angle is selected. For example, when the vehicle is in a car and an object in front of the running direction is determined, the viewing angle is reduced in inverse proportion to the running speed of the car. That is, when the automobile is traveling at 80 km / h, the viewing angle is in the range of 15 degrees with the traveling direction of the automobile as the center. When the automobile is traveling at 60 km / h, the viewing angle is in the range of 30 degrees with the traveling direction of the automobile as the center. When the vehicle is traveling at 30 km / h, the viewing angle is in the range of 45 degrees around the traveling direction of the vehicle. In the case of trains and bicycles, the viewing angle is similarly changed according to the moving speed. In the case of a train, the viewing angle may be wider than in the case of the moving speed of an automobile. Further, the viewing angle may be widened while the moving means is stopped.

In this way, after acquiring the data related to the object, create a problem and confirm the following objects with the user before giving a question. Create and ask questions.
That is, “Do you see the“ object ”about 10 degrees on the right side in front of the car? As shown in FIG. 4, it is confirmed whether the user is looking at the object. (In this case, “object” inserts the name of the object acquired above.) If the user answers “Yes” to this question, the user must be able to see the object. Therefore, the problem database 1 of the pattern A creates a question related to the object and issues it.
For example, there are the following problems.
-What are the types of objects?
・ What is the name of the object?
・ What is the height of the object?
・ What is the color of the object?
・ How many floors is the target object?

The processing procedure of the problem database 1 of the pattern A will be described using the flowchart of FIG.
First, in step A1, it is determined that a question is given from the map data stored in the map data storage unit 43 by the user's selection or by the program. In accordance with the determination in step A1, in step A2, an object is determined from the current position obtained by GPS 6 and the map data stored in the map data storage unit 43, and data relating to the object is acquired. Next, in step A3, it is determined whether or not the direction in which the object exists is acquired. This determination is made based on the viewing angle corresponding to the moving speed of the moving means. If it is determined that the object is within the viewing angle range and the direction data needs to be acquired, in step A4, the current position information obtained from the GPS 6 and the direction data in which the object exists are obtained from the map data. Acquire and go to step A5. However, if the object is not within the viewing angle range, step A4 is skipped and the process proceeds to step A5. Or you may skip to step A8.

  Next, in step A5, the confirmation problem of the pattern A problem database 1 is extracted from the problem data storage unit 41 and created. That is, a problem of confirming to the user that the direction in which the object exists and the object can be seen is created, such as “Do you see the“ object ”about 10 degrees on the right side in front of the direction of travel of the car?”. Here, “about 10 degrees on the right in front of the traveling direction” is the direction data acquired in step A4, and “target” is the name of the target acquired in step A2. In step A6, the problem is output by voice or image. Next, in step A7, it is determined whether or not the user has input by voice or screen operation. If there is no input from the user, it waits for input. If the user inputs Yes, it is determined that the user can see the object, and the process proceeds to step A8, where the problem data in the problem database 1 of pattern A is extracted from the problem data storage unit 41.

The problem data extracted in step A8 is, for example, “What is the name of (object)?”. Next, in step A9, since data related to the object is acquired in step A2, the data is inserted into the (object) of the problem data. This is output in step A10, and stored in RAM 5 as an answer in step A11.
The question data and the answer should be stored in pairs. If the problem data is related to the type of object, the problem data is changed to "What is the type of (object)?" If the problem data relates to the height of the object, the problem data is changed to "How many meters is the height of (object)?" If the problem data is related to the color of the object, the problem data is changed to “What color is (object)?”. At the same time, the answer to these question data is stored in the RAM 5. In this way, a plurality of problem data and answers concerning the object are prepared, and the number is counted.
Here, in step A11, the case where a plurality of question data and answers are stored is described. However, only one question data may be stored every fixed time, and the stored problem may be created every fixed time.

  In the next step A12, it is determined whether or not the problem data count is zero. If zero, end this flow. If it is not zero, the process proceeds to step A13 and waits for an answer from the user. If there is no input, the process of waiting for an answer is continued until there is an input. If there is an answer, the process proceeds to step A14, where it is determined whether the input answered by the user matches the answer stored in the RAM 5. If they match, in step A15, a circle indicating that the output is correct is displayed on the display unit 21. Alternatively, the voice output unit 22 notifies the correct answer. If they do not match, a cross mark indicating an incorrect answer is displayed on the display unit 21 in step A16. Alternatively, the voice output unit 22 notifies that the answer is incorrect. If the answer is incorrect, the process returns to step A14. When the output is completed in step A15, the number of problem data is incremented in step A17, and the process proceeds to step A12. In step A12, the problem data number counter is decremented by one.

In addition, the problem questioning apparatus of the present invention uses the map data stored in the map data storage unit 43, and the problem database 2 of the pattern A creates the following problems related to the distance.
For example, since the following problem is stored for the problem database 2 of the pattern A in the problem data storage unit 41, this is extracted.
・ It is "○" kilometers to the destination. If you drive at a speed of “○○” km / h, will you arrive within “△” time?
Here, “◯” is the distance from the current position to the destination, which can be obtained from the route distance of the map data, and is inserted into “◯” in the above problem. “△” is given by inserting an arbitrary time after the set time from the current time into “△” of the above problem.
And “XX” is given as a problem. “OO” can be calculated from the distance “O” kilometers to the destination and the set time “Δ”. That is, it is calculated by (distance) ÷ (set time−current time) = (travel speed).
The problems created in the problem database 1 or 2 of the pattern A in this way are car problems, problems when the car is stopped, problems for the train, problems when the train is stopped, problems for the bicycle, and when the bike is stopped according to the content. Categorized as a problem, a walking problem, or a walking problem, and made searchable.

  Further, the problem creating unit 8 can create a problem as follows. The user traveled a predetermined distance by riding a car, a train, a bicycle, or walking. Since the navigation data storage unit 44 holds the movement history data of the day on which the user has moved, the problem relating to the history is presented by the pattern B prepared in advance based on the movement history data. That is, the problem creation unit 8 acquires current position information by the GPS 6, acquires a travel history from the navigation data storage unit 44, determines an object included in the map data in the travel history, and acquires data of the object The problem pattern corresponding to the pattern B is extracted from the problem data storage unit 41, the problem data corresponding to the pattern is extracted from the problem data storage unit, and the object data is inserted into the problem data. Create questions and answers.

For example, the problem database 1 of the pattern B is a problem related to the object seen while traveling, and the following problem data is used as the problem data of the problem database 1 of the pattern B stored in the problem data storage unit 41. Extract.
・ What is the name of the “object” that was in the “○ direction” at the previous intersection?
Here, the “object” is acquired from the map data of the movement history by the moving means a predetermined time ago (for example, several seconds ago). From the travel history and the “object” obtained from the map data, “◯ direction” data in which the “object” can be seen from the traveled position is obtained. Then, the “direction” data is inserted in the “◯ direction” of the problem database 1 of the pattern B, and data related to the type of “object” is created as a problem, and the question is given. In the problem database of pattern B, “object” may be replaced with the color of the object, the height of the object, the size of the object, the history, etc., instead of the type of the object.

The problem database 2 for the pattern B is a problem related to the travel history.
For example, the following problem data is extracted from the problem data storage unit 41.
・ How many times did you turn around from “where” or “when”?
Here, “where” is from the place of departure, such as home or office, or the point where the vehicle stopped and restarted. “When” is an arbitrarily set time, such as from what hour to what minute.
The problem database 3 for the pattern B is a problem related to the travel history.
For example, the following problem data is extracted from the problem data storage unit 41.
・ How many tunnels have you passed from “where” or “when”?
Here, “where” is a departure place such as a home or a company, and is from the point where the departure was made or from the previous question. “When” is an arbitrarily set time, such as from what hour to what minute.
The problems of pattern B created in this way are: car problems, problems when the car is stopped, problems for the train, problems when the train is stopped, problems for the bicycle, problems when the bike is stopped, problems for walking Categorize as a problem while walking, and make it searchable.

The processing procedure of the problem database 2 of the pattern B will be described using the flowchart of FIG.
First, in step B1, position information of the user's current location is acquired from GPS and map data. In this case, the altitude sensor 75 may be used. Next, when the moving means moves, it is determined in step B2 whether or not the vehicle is bent when moving on the route on the map data. Alternatively, it is determined whether or not the corner is turned based on the detection output of the acceleration sensor 71. If the corner is turned, the counter is incremented by 1 in step B3. That is, the counter is set to “B + 1”. However, if it does not turn, step B3 is skipped.

  Next, in step B4, problem data in the problem database 2 of the pattern B is extracted from the problem data storage unit 41. For example, “How many times did you turn from (situation)?”. Next, in step B5, the above (situation) is selected and inserted. For example, (situation) may be “from the point where the question was given earlier”, “from the train”, “from the departure place”, or “from what time and what”. Such situation insertion may be determined in advance in the order in which the situations are inserted, or may be selected by the user. The number of bends in the situation determined in this way is defined as “A”. In step B6, B−A = C is calculated, and the number of turns from the above (situation) to the current time is obtained. Here, B is the total number of bends stored in the history data of the RAM 5, and is the number counted in step B3.

  That is, A is the number of turns before (situation), and is extracted from the history data stored in the RAM 5. B−A = C is performed, and the number of times A has been bent up to (situation) is subtracted from the total number of turns B, so the number of turns after (situation) is calculated, put into C, and held as an answer. That is, in step B6, by subtracting the number of turns A until the situation selected in step B5 is obtained from B, which is the value of the total number of turns from the start to the questioning time, after the selected situation. The number of turns can be calculated. Further, the answer may be created without using the formula B−A = C. In other words, if the question data is "How many times did you turn the intersection from (situation)?" And if the situation was "the point where the question was asked", the answer to the question is the number of turns from the point where the question was given so far Since the place where the question was given and the route so far are stored in the RAM 5 as history data, it is possible to calculate the number of times the intersection has been bent on the route so far. Also, if the situation is “from the departure place”, when the formula B−A = C is not used, the departure place and the place are associated with each other and stored in the history data of the RAM 5. The number of turns can be calculated from the route data. Also, if the situation is “from 5:10”, if the formula B−A = C is not used, the number of turns so far is calculated from the route data from the point that passed “5:10”. be able to. That is, in step B6, by subtracting the number of turns A until the situation selected in step B5 is obtained from B, which is the value of the total number of turns from the start to the questioning time, after the selected situation. It becomes possible to calculate the number of times C is bent.

Next, in step B7, question data is created, and the question and answer are stored in the RAM 5. In the next step B8, “how many corners have been turned since (situation)?” Is output by voice or image.
Next, the process proceeds to step B9 and waits for an answer from the user. If there is no input, the process of waiting for an answer is continued until there is an input. If there is an answer, the process proceeds to step B10, and it is determined whether or not the input answered by the user matches the answer stored in the RAM 5. If they match, in step B11, a circle is displayed on the display unit 21, or the voice output unit 22 informs that the answer is correct. If they do not match, an X mark is displayed on the display unit 21 in step B12. Alternatively, the voice output unit 22 notifies that the answer is incorrect. If the answer is incorrect, the process may return to step B10.

Next, the processing procedure of the problem database 3 for the pattern B will be described with reference to the flowchart of FIG. FIG. 4 counts the number of times of bending, but FIG. 5 differs in that the number of times of passing through the tunnel is counted. Other processes are the same.
That is, in step C1, position information of the current location of the user is acquired from the map data. Next, when the moving means moves, it is determined in step C2 whether or not it has passed through the tunnel when moving on the route on the map data. Alternatively, in the case of a car or a bicycle, an on-vehicle headlight control illuminance sensor is used to determine that the output is not a tunnel if the output is large, and that the tunnel is the output if the output is small. When using the headlight control illuminance sensor, it is necessary to adjust the output sensitivity to distinguish between daytime and nighttime. If it is determined in step C2 that it is a tunnel, the counter is incremented by one in step C3. That is, the counter is set to “B + 1”. However, if the tunnel is not passed, step C3 is skipped.
Next, in step C4, the problem data of the problem database 3 of the pattern B is extracted from the problem data storage unit 41. For example, “How many times has the tunnel been passed from (situation)? Steps C5 to C12 are the same as those in FIG.

In addition, the problem creating unit 8 is a road map, railway map, or bus route map that is stored in the map data storage unit 44 after the user has moved a predetermined distance by moving means such as a car, train, bicycle, or walk. A problem is created based on a pattern C prepared in advance based on the data.
That is, data relating to an object of interest existing at the current location is acquired from the road map, railway map, or bus route map stored in the map data storage unit 43. Interesting objects are natural objects such as rivers, mountains, lakes, ponds, historic sites such as shrines, Buddhist temples, historic sites, government offices, schools, parks, halls, bridges, etc., famous buildings, stations, celebrity lives This is all map data stored in the map data storage unit 43 such as a building such as a house, an old house, a gas station, a convenience store, a rest area such as a service area, a restaurant, a hotel, an inn. The data related to the object of interest includes, for example, the type, name, height, size, width, direction, color, and construction year of the object of interest.

In this way, after acquiring data related to the object of interest, the problem data corresponding to the pattern C is extracted from the problem data storage unit 41, and a question and an answer are created. Before creating a question and giving a question, the user is confirmed about the following object of interest, and an appropriate problem regarding the object of interest is created and presented at an appropriate timing.
That is, it is confirmed whether or not the user is looking at the object of interest, such as “Do you see“ object of interest ”in the“ left direction ”?”. ("Attention object" refers to an attention object stored in the map data storage unit 43.)
If the user answers “Yes” to this question, it is confirmed that the user is in a state where the object of interest can be seen, and the problem database 1 of the pattern C is obtained because it is an appropriate timing to give a question about the object of interest. Creates a question about the object of interest and gives it a question.
For example, there are the following problems.
・ What is the name of the object of interest?
・ Which direction is the river flowing?
・ Is this river a tributary?
・ To what prefectures does this river flow?
The problem of the pattern C created in this way is car problem, problem when car is stopped, problem for train, problem when train is stopped, problem for bicycle, problem when bike is stopped, problem for walking Categorize as a problem while walking, and make it searchable.

Further, the problem creation unit 8 stores the road map or railway map data, bus route map data stored in the map data storage unit 44, and the problem data storage unit 41 after the user moves a predetermined distance by the moving means. A problem is created based on a pattern D prepared in advance based on the problem being performed.
That is, from the road map, railway map, and bus route map stored in the map data storage unit 43, the name of the municipality of the current location, the name of the special product, the production amount of the special product (how much in the whole country), the harvest time of the special product , Get regional information such as historic site names.

In this way, after acquiring the regional information, before creating a question and before giving a question, a confirmation question corresponding to the pattern D is extracted and created from the question data storage unit 41, and the user is asked about the following regional information. Check and make appropriate questions regarding regional information at appropriate times.
In other words, do you see “objects” in this area? (“Object” indicates the name of the object stored in the map data storage unit 43.) It is confirmed whether the user has seen the object. If the user answers “Yes” to this question, the user can confirm that he / she is in the area where the target object exists, so the problem data corresponding to the pattern D is extracted from the problem data storage unit 41. Create questions and answers, and ask them questions.
For example, there are the following problems.
・ Where are the local specialties?
・ What is the production volume of special products nationwide?
・ When is the special product harvested?
・ What are the types of historic sites?
・ When was the historic site completed?
・ Who made the historic site?
The problems of the pattern D created in this way are: car problems, problems when the car is stopped, problems for the train, problems when the train is stopped, problems for the bicycle, problems when the bike is stopped, problems for walking Categorize as a problem while walking, and make it searchable.

The processing procedure of the problem database 1 for the pattern D will be described with reference to the flowchart of FIG.
First, in step D1, it is determined that a question is given from map data stored in the map data storage unit 43 by a user's selection or automatically by a question-taking device. In accordance with the determination in step D1, data of the object is acquired in step D2. Next, in step D3, direction data in which the object exists is acquired. The presence direction data of the target object is acquired from the current position information obtained from the GPS 6 and the target object position on the map data.
Next, in step D4, the confirmation problem of the pattern D problem database 1 is extracted from the problem data storage unit 41 and created. That is, a question for confirming the name of the current region is created, such as “What is the name of the region where you are now?”, And the region name is confirmed. Here, “region” is the region name data acquired in step D2. Or, create a question to confirm the region name, such as “Is your region now?” And confirm the region name. Or you may confirm the area | region where the target part exists by confirming that a target object is visible as mentioned above. In step D5, the problem is output by voice or image. Next, in step D6, it is determined whether or not the user has input by voice or screen operation. If there is no input from the user, it waits for input. If the user inputs Yes or the area name is input, it is determined that the current position of the user has been confirmed, the process proceeds to step D7, and the problem related to the problem database 1 of the pattern D from the problem data storage unit 41 is determined. Extract data.

  The question data extracted in step D7 is, for example, “What are the special products in the XX region?”. Next, in step D8, the area data acquired in step D2 is inserted into “XX area” of the problem data. This is output in step D9. In step D10, the data associated with the location of the XX region is searched for in the learning book / dictionary data 42 for “special product of the XX region”, and answer data is obtained. Remember as. Here, the learning book / dictionary data 42 may not be stored in association with the place, but may be stored in association with data that can be associated with the map data 43. The longitude / latitude or the map data 43 may be stored in association with position information such as an area number assigned to each area divided by a rectangle. In this case, the place name of the XX area is searched from the map data 43, position information such as the latitude / longitude or area number of the searched area is acquired, and the position information is stored in the learning book / dictionary data 42. Data may be acquired as answer data. The question data and the answer should be stored in pairs. When there are a plurality of special products, a plurality of special products are stored.

  In the next step D11, an answer input from the user is awaited. If there is no input, the process of waiting for an answer is continued until there is an input. If there is an answer, the process proceeds to step D12, and it is determined whether or not the input answered by the user matches the answer stored in the RAM 5. If they match, in step D13, a circle indicating that the output is correct is displayed on the display unit 21. Alternatively, the voice output unit 22 notifies the correct answer. If they do not match, in step D14, an x mark indicating an incorrect answer is displayed on the display unit 21. Alternatively, the voice output unit 22 notifies that the answer is incorrect. If the answer is incorrect, the process may return to step B10. If there are a plurality of special products, the process returns to step D9 again when there is a correct answer.

The problem and problem creation flowchart illustrated above are examples, and the present invention is not limited to these. In other words, regardless of the area detected or entered, it can be any field such as map, history, national language, society, science, mathematics, music, English, politics, economy, law, etc. It is possible. Further, the question format is not limited to the question format as described above, but may be selected format such as two choices or three choices. In addition to asking questions, it can also be used as a learning device. Further, the problem creation flowchart may be created as in the flowchart shown above, or may be created by another flowchart.
Moreover, although the above problem demonstrated the case where a user asked a problem according to the moving means actually used, the user's alternation (that is, an aperture) is set virtually instead of the actual user, and the By setting the moving means to be used virtually and setting the virtual current position, the problem can be set as described above. Similarly, the moving means and position can be virtually set, and the problem device of the present invention can be used like a game machine.

The use method as described above is realized by operating as shown in the flowchart of the problem-taking apparatus of the present invention shown in FIG.
Since the question-taking device of the present invention is configured using a navigation device, the navigation device is first activated. In step S1, the user sets a destination and searches for a route in step S2. Such processes of steps S1 and S2 are the same as those of a normal navigation device. In step S3, the GPS 6 acquires information on the current position. Thereafter, when the navigation device is used, it can be used for route guidance as usual.

The flow of the questioning device of the present invention will be described below. When the navigation device is in use, the operation of the questioning device is interrupted even when the questioning device is in use. In other words, where guidance is required, priority is given to the guidance by the voice and display unit.
After the navigation device is activated as described above, or when a normal navigation device is not used, steps S1 and S2 are passed, and the problem setting device of the present invention starts operation from step S3. In step S3, information on the current position is acquired. As for the current position information, latitude, longitude, and altitude information are acquired by the GPS 6. In step S4, the navigation apparatus predicts the user's moving means A based on the output of the acceleration sensor 71. That is, based on the acceleration information detected by the acceleration sensor 71, the moving means predicts whether it is a car, a train, a bicycle, or a walk. In addition, although it has been described that the moving means is predicted only by the acceleration sensor 71, walking, automobiles, and trains may be predicted based on the traveling speed calculated by the speed sensor 73. Furthermore, the altitude obtained by GPS 6 or the higher accuracy obtained from altitude sensor 75 is compared with map data 43 to determine which of the elevated train and the road underneath it is running. It is also possible to predict whether it is a train or a car, and it is also possible to predict by using the technology used in current navigation.

In step S5, it is determined whether or not a route is set by the navigation device. If there is a route setting, the process proceeds to step S6, and the moving means B is predicted from the route searched in step S2 and the current position. That is, from the set route and the current position information detected by the GPS 6, it is determined whether the moving means is traveling on a road or a railway track. If the current position is a road, the moving means is an automobile. Predict that there is. If it is determined that the vehicle is traveling on a railroad track, the moving means is predicted to be a train. Further, when the current position is a road but the moving speed is low such as 30 km / h or less, the moving means is predicted to be a bicycle. In addition, when the moving speed is 20 km / h or less and the current position is a place where a car or a train does not travel such as an end of a road, a park, or a mountain, the moving means is predicted to be walking. At this time, by using the speed information of the speed sensor 73, it is possible to predict whether the car is traveling on a highway, a car traveling on a general road, a normal train traveling, or an express train.
In step S7, it is determined whether or not the moving means A predicted in step S4 matches the moving means B predicted in step S6. If the moving means A and B match, the moving means is determined. Through the above steps S1 to S7, the user's moving means can be detected and automatically inputted. However, if the moving means A and the moving means B do not match, in step S8, the user inputs the moving means using the keyboard, mouse, or touch panel. If NO in step S5, the moving means predicted in step S4 is set as the user moving means.

  If the moving means is determined in step S7, step S9 determines whether the moving means is an automobile. If it is determined that the vehicle is an automobile, the process proceeds to step S10, and the acceleration sensor 71 determines whether the automobile is running. If it is determined that the car is running, the process proceeds to step S11. In step S11, the automobile problem data is extracted by classification or by search. That is, when the user is in a car, the user is paying attention to the front side of the road, so the user selects a target object from among the target objects ahead in the traveling direction at the current position of the user, and relates to the target object. Extract problem data. The current position information can be acquired from the GPS 6 and the map data 42. Further, the direction of travel of the automobile is detected by the direction sensor 72, and the angle range ahead of the direction of travel is set to a predetermined range by the direction sensor 72. If it is determined in step S10 that the vehicle is stopped, the process proceeds to step S12, and the problem when the vehicle is stopped is extracted by classification or search. The problem data extracted in this way is output to the output unit 2 in step S13. When the car is running, the questions are given from the voice unit 22, and when the car is stopped, it is output by the display unit 21 and the voice unit 22. It may be displayed only on the display unit 21 during the stop. If you have a question, you may translate it into a foreign language.

If it is determined in step S9 that the moving means is not an automobile, the process proceeds to step S14 to determine whether or not the moving means is a train. In step S15, the acceleration sensor 71 determines whether the train is running or stopped. If it is determined that the vehicle is traveling, problem data indicating that the train is traveling is extracted in step S16. That is, when the user is on the train, the user can see the landscape in the left-right direction of the track, so select an object from the objects present in the left-right direction at the current position of the user, Extract problem data for the object. However, if the train is stopped, a problem when the train is stopped is extracted in step S17.
The problem data extracted in this way is output to the output unit 2 in step S13. It is displayed on the display unit 21 so as not to disturb the surroundings on the train. However, when the earphone is used, the questions are given from the display unit 21 and the audio unit 22. In this case, the problem may be asked after being translated into a foreign language.

If it is determined in step S9 that the moving means is not an automobile and it is determined in step S14 that the moving means is not a train, the process proceeds to step S18 to determine whether the moving means is a bicycle. If it is determined that the bicycle is a bicycle, then in step S19, the acceleration sensor determines whether the bicycle is running or stopped. If it is determined that the vehicle is traveling, problem data indicating that the bicycle is traveling is extracted in step S20. That is, when the user is riding a bicycle, the user is paying attention to the front, so at the current position of the user, the user selects an object that exists in front of the user in the traveling direction, and the object Extract problem data about. However, if the bicycle is stopped, a problem when the bicycle is stopped is extracted in step S21.
The problem data extracted in this manner is presented from the display unit 21 and the voice unit 22 by the output unit 2 in step S13. In this case, the problem may be asked after being translated into a foreign language.

If it is determined in step S9 that the moving means is not a car, it is determined that it is not a train in step S14, and it is determined that it is not a bicycle in step S18, the process proceeds to step S22, and it is determined whether or not the moving means is walking. To do. If it is determined that the user is walking, in step S23, the acceleration sensor 71 determines whether the user is walking or stopped. If it is determined that the user is walking, the problem during walking is extracted in step S24. That is, when the user is walking, the user can arbitrarily view all directions, so select a target object from all the target objects in all directions at the current position of the user, and relate to the target object. Extract problem data. However, if it is stopped, a problem when it is stopped is extracted in step S25.
The problem data extracted in this manner is presented from the display unit 21 and the voice unit 22 by the output unit 2 in step S13. In this case, the problem may be asked after being translated into a foreign language.

  As described above, in addition to setting the type of moving means and asking a question, the problem setting apparatus of the present invention can be used without setting the moving means. That is, the above steps 9.14, 18, and 22 are passed, and other problem data is extracted in step S26. Or display a study book. In step S13, the output unit 2 gives a question from the display unit 21 and the voice unit 22.

As described above, it has been described that the problem-answering apparatus of the present invention extracts the problems stored in the problem data storage unit 41 according to the type of moving means, and issues the questions regardless of whether or not they are given. Next, a case will be described in which either the problem created by the problem creating unit 8 or the problem stored in the problem data storage unit 41 or both are extracted and presented.
FIG. 8 shows a flowchart in this case. The problem data storage unit 41 stores the problem (step S41). On the other hand, the problem creating unit 8 creates a problem based on the patterns A to D (step S41). In this way, the problem is prepared in the problem data storage unit 41 and the problem creation unit 8, and in step S43, the problem data storage unit 41 or the problem creation unit 8 is selected. Alternatively, it is possible to select both the problem data storage unit 41 or the problem creation unit 8. Such a selection is made by the user from the key unit 11 or the voice input unit 12 of the input unit 1. Next, in step S44, as described with reference to FIG. 7, as in steps S11, S12, S16, S17, S20, S21, S22, and S24, the moving means is selected and the moving means is running or stopped. The problem is extracted depending on whether it is inside. The extracted problem is output to the display unit 21 or the audio output unit 22.

The case where the problem is extracted according to the type of moving means and the questions are given regardless of the moving means has been described above. Next, a case where a user answers a question that has been asked will be described.
When a question is given from the question assignment device, the user inputs an answer using a keyboard, mouse, and touch panel. Or, when the keyboard, mouse, and touch panel cannot be operated while looking at the display section while driving a car, the answer is input by voice. When the user answers, a foreign language may be used. The input answer is collated with the answer stored together with the problem in the question data storage unit 41 to determine whether the answer is correct. That is, it is determined whether or not an answer is prepared in advance for the given question and whether or not at least the answer is included in the user's answer. The determination result is output from the output unit 2. When the moving means is a car, train, or bicycle, a sound is output, and when the car, train, or bicycle is stopped, it is also displayed on the display unit 21. When the moving means is walking, it may be output only to the display unit 21.
In this way, the result of determining correctness is accumulated, and the correct answer rate is calculated as necessary. And a correct answer rate is output as needed. When there are a plurality of users, the correct answer rate may be calculated separately for each user.

  In the above description, the question answering apparatus of the present invention has been described until the type of moving means is determined, the problem corresponding to the type of moving means is extracted, the question is given, and the answer is given. In this way, questions are answered and answered once, then the questions related to the answers are extracted, and the questions and answers are repeated by the questions so that the objects related to the region where the user is located Problems related to objects and objects of interest can be further developed to deepen and strengthen the user's interests and interests.

1 Input unit 2 Output unit 3 Control unit 4 ROM
5 RAM
6 GPS
7 Sensor section 8 Problem creation section 11 Keyboard 12 Voice input section 21 Display section 22 Voice output section 41 Problem data storage section 42 Learning book, dictionary data storage section 43 Map data storage section 71 Acceleration sensor 72 Direction sensor 73 Speed sensor 74 Travel distance sensor

Claims (12)

A moving means determining unit for inputting or detecting the type of moving means of the user;
A problem holding section that holds at least a problem corresponding to the type of the moving means;
A problem extraction unit for extracting from the problem holding unit a problem corresponding to the type of movement means determined by the movement means determination unit;
A question assignment device comprising: an output unit that outputs a problem extracted by the problem extraction unit.   The problem questioning apparatus according to claim 1, further comprising a current position detecting unit that detects a current position, wherein the problem extracting unit extracts a problem corresponding to the current position from the problem holding unit.   The question presenting apparatus according to claim 2, wherein the current position is a place name or an area name.   A map data storage unit that stores map data; and a location name specifying unit that specifies a place name or a region name on the map data that matches the current location; and the problem extraction unit is specified by the location name specifying unit. 4. The question assignment apparatus according to claim 2, wherein a problem corresponding to a place name or a region name is extracted from the question holding unit.   It further comprises a movement state detection unit for detecting whether the moving means is moving or in a stopped state, and the problem extraction unit has a problem corresponding to the moving or stopped state detected by the movement state detection unit. The question-taking apparatus according to claim 1 or 2, wherein the question-taking apparatus is extracted from a part.   The said moving means determination part is provided with either an acceleration sensor, a speed sensor, or an altitude sensor, and detects the kind of said moving means by any of the said acceleration sensor, a speed sensor, and an altitude sensor. The problem questioning apparatus according to any one of the above items.   A map data storage unit that stores map data; and a route storage unit that stores a movement route, and a candidate for a movement unit on the map data in the movement route, and any of the acceleration sensor, the speed sensor, and the altitude sensor 7. The question assignment apparatus according to claim 6, wherein the type of the moving means is detected based on the above.   When the moving means is an automobile, the problem extracting unit extracts a problem related to an object existing ahead in the current position, and when the moving means is a train, the problem extracting unit is at the current position. When a problem relating to an object existing in the left-right direction is extracted, and the moving means is a bicycle, the problem extracting unit extracts a problem related to an object existing ahead in the current position, and the moving means is on foot. 8. The problem questioning apparatus according to claim 2, wherein the problem extraction unit extracts a problem related to an object existing in all directions at the current position. 9.   The problem holding unit includes a problem data storage unit and a problem creation unit, the problem creation unit acquires current position information from the current position detection unit, and obtains an area map near the current position from the map data storage unit. Obtaining, determining an object included in the area map, obtaining the object data, extracting problem data from the problem data storage unit, and inserting the object data into the problem data 3. The question assignment apparatus according to claim 2, wherein a question and an answer are created.   The question questioning apparatus according to claim 9, wherein the question creating unit creates a confirmation question for confirming whether or not the object is visible from the question data storage unit.   The problem questioning apparatus according to claim 9 or 10, wherein the question creating unit obtains a travel distance, travel time, and travel speed information, and creates a problem related to the travel distance, travel time, or travel speed. A method for controlling a question-taking apparatus comprising at least a problem-holding unit that holds a problem corresponding to the type of moving means used by a user, and an output unit that outputs the problem,
A moving means determining step for determining a moving means used by the user;
A problem extracting step of extracting a problem corresponding to the determined type of moving means from the problem holding unit;
A problem assignment method for executing the output step of outputting the extracted problem from the output unit.

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