PERSONALIZED DISPLAY SYSTEM FOR INTEGRATING AND VARYING CAR CONTENT, CAR CONTENT MANAGEMENT METHOD OF PERSONALIZED DISPLAY SYSTEM, AND COMPUTER READABLE MEDIUM FOR PERFORMING CAR CONTENT MANAGEMENT METHOD

A personalized display system for integrating and varying car content includes: a profile creation unit collecting and storing driving information and route information, creating manipulation information related to manipulation of state content of a cluster and an audio-video-navigation (AVN) device, and creating manipulation style profile information through a combination of the driving information, the route information, and the manipulation information; a user weight creation unit giving a manipulation specification weight based on the manipulation information and inputted driver information to create weight setting information; a display specification decision unit mapping the weight setting information to the created manipulation style profile information in order to determine a user's favorite display specification; and an integration screen display unit displaying the determined favorite display specification on an integration screen of the cluster and the AVN device.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims priority to and the benefit of Korean Patent Application No. 10-2015-0012599, filed on Jan. 27, 2015, which is hereby incorporated by reference as if fully set forth herein.

BACKGROUND OF THE DISCLOSURE

1. Field of the Disclosure

The present disclosure relates generally to a personalized display system for cars, and more particularly to a personalized display system for cars that is capable of operating car content suitable for a user, a car content management method of the personalized display system, and a computer readable medium for performing the car content management method.

2. Discussion of the Related Art

In recent years, audio-video-navigation (AVN) devices have been widely popularized as a car multimedia system. AVN devices provide audio functionality (e.g., based on a compact disk (CD)), video functionality (e.g., based on a digital versatile disk (DVD)), and navigation functionality, such as destination guidance.

Meanwhile, a car cluster visually and audibly provides a basic speedometer, fuel information, and other trip computer information. However, user interfaces of the AVN device and the cluster for visually and audibly providing the information each have a fixed interface structure. Problematically, it is possible to make changes such as manipulate the color of a navigation map and the color/distance unit of a route line, adjust brightness and saturation of the navigation map, and provide a welcome sound when getting into a car, but not changes including editing, manipulating, and learning a user's favorite content based on manipulation of a customized user interface.

SUMMARY OF THE DISCLOSURE

Accordingly, the present disclosure is directed to a personalized display system for integrating and varying car content, a car content management method of the personalized display system, and a computer readable medium for performing the car content management method that substantially obviate one or more problems due to limitations and disadvantages of the related art.

An object of the present disclosure is to provide a personalized display system that is capable of integrating and easily varying car content based on a user's driving habit and degree of favorite, a car content management method of the personalized display system, and a computer readable medium for performing the car content management method. Additional advantages, objects, and features of the disclosure will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the disclosure. The objectives and other advantages of the disclosure may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

According to embodiments of the present disclosure, a personalized display system for integrating and varying car content includes: a profile creation unit collecting and storing driving information and route information, creating manipulation information related to manipulation of state content of a cluster and an audio-video-navigation (AVN) device, and creating manipulation style profile information through a combination of the driving information, the route information, and the manipulation information; a user weight creation unit giving a manipulation specification weight based on the manipulation information and inputted driver information to create weight setting information; a display specification decision unit mapping the weight setting information to the created manipulation style profile information in order to determine a user's favorite display specification; and an integration screen display unit displaying the determined favorite display specification on an integration screen of the cluster and the AVN device.

The profile creation unit may acquire the driving information and the route information from an electronic control unit (ECU). The profile creation unit may learn the driving information and the route information using fuzzy logic.

In addition, the manipulation style profile information may include manipulation favorite information per time zone, road, and driving speed, and may be cumulatively integrated in the mapping of the weight setting information to the manipulation style profile information.

In addition, the user weight creation unit may receive the manipulation specification weight from a mobile terminal through a customized cluster and an AVN user interface (UI).

In addition, the manipulation specification weight may include sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information.

In addition, the display specification decision unit may determine the favorite display specification related to the sizes of the screen, symbols, and text, the display cycle, and the voice guidance.

In addition, the integration screen display unit may display the display specification on the integration screen in the form of a widget, and display the favorite display specification per route of the route information on the integration screen.

Furthermore, according to embodiments of the present disclosure, a car content management method of a personalized display system for integrating and varying car content includes: collecting and storing car driving information and route information through a profile creation unit, creating manipulation information related to manipulation of state content of a cluster and an audio-video-navigation (AVN) device through the profile creation unit, creating manipulation style profile information by combining the driving information, the route information, and the manipulation information through the profile creation unit, giving a manipulation specification weight based on the manipulation information and inputted driver information to create weight setting information through a user weight creation unit, mapping the weight setting information to the created manipulation style profile information to determine a user's favorite display specification through a display specification decision unit, and displaying the determined favorite display specification on an integration screen of the cluster and the AVN device through an integration screen display unit.

Step (a) may include acquiring the driving information and the route information transmitted from an electronic control unit (ECU) through the profile creation unit. Step (a) may also include learning the driving information and the route information using fuzzy logic through the profile creation unit.

In addition, step (c) may include creating the manipulation style profile information including manipulation favorite information per time zone, road, and driving speed through the profile creation unit and reflecting the cumulatively integrated manipulation style profile information in the mapping.

In addition, step (d) may include receiving the manipulation specification weight from a mobile terminal through a customized cluster and an AVN user interface (UI).

In addition, step (d) may include receiving the manipulation specification weight including sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information through the user weight creation unit.

In addition, step (e) may include determining the display specification based on the sizes of the screen, symbols, and text, the display cycle, and the voice guidance through the display specification decision unit.

In addition, step (f) may include displaying the favorite display specification on the integration screen of the integration screen display unit in the form of a widget and displaying the favorite display specification per route contained in the route information on the integration screen.

Furthermore, according to embodiments of the present disclosure, a personalized display system integrating and varying car content includes a mobile terminal for creating manipulation information related to state content of a cluster and an AVN device through a customized cluster and an AVN user interface (UI), setting a manipulation specification weight for the manipulation information to create weight setting information based on the manipulation information and driver information inputted by a driver, and transmitting the weight setting information and the manipulation information to a car integration device, and the car integration device creating manipulation style profile information through a combination of driving information, route information, and the manipulation information received from the mobile terminal, mapping the manipulation specification weight to the manipulation style profile information to determine content to be displayed, and displaying the content on an integration screen.

The manipulation specification weight may include sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the inputted driver information.

The car integration device may acquire the driving information and the route information from an electronic control unit (ECU).

The car integration device may learn the driving information and the route information using fuzzy logic.

The manipulation style profile information may include manipulation favorite information per time zone, road, and driving speed.

The manipulation style profile information may be cumulatively integrated in the mapping of the weight setting information to the manipulation style profile information.

The car integration device may determine the favorite display specification based on the sizes of the screen, symbols, and text, the display cycle, and the voice guidance.

The car integration device may display the favorite display specification on the integration screen in the form of a widget.

The car integration device may display the favorite display specification per route of the route information on the integration screen.

The mobile terminal and the car integration device may be connected to each other through a wireless network.

In a further aspect of the present disclosure, a car content management method of a personalized display system for integrating and varying car content includes: creating manipulation information related to state content of a cluster and an AVN device through a customized cluster and an AVN user interface (UI) through a mobile terminal, setting a manipulation specification weight for the manipulation information to create weight setting information based on the manipulation information and driver information inputted by a driver through the mobile terminal, transmitting the weight setting information from the mobile terminal to a car integration device, creating manipulation style profile information by combining driving information, route information, and the manipulation information received from the mobile terminal through the car integration device, mapping the manipulation specification weight to the created manipulation style profile information to determine content to be displayed, and displaying the determined content on an integration screen of the car integration device.

DETAILED DESCRIPTION OF THE EMBODIMENTS

First Embodiment

FIG. 1is a view exemplarily showing a personalized display system100according to a first embodiment of the present disclosure, andFIG. 2is a detailed view showing components of the personalized display system100according to the first embodiment of the present disclosure.

As shown, the personalized display system100, for integrating and varying car content, includes a profile creation unit110, a user weight creation unit120, a display specification decision unit130, and an integration screen display unit140.

The profile creation unit110collects and stores car driving information transmitted from an electronic control unit (ECU)101. The ECU101controls an accelerator, a battery, a brake, an air conditioner, a cluster103, an audio device, and electric equipment related to various kinds of driving to create driving information. However, the present disclosure is not limited thereto. The created driving information generically names information related to driving created through operations of the accelerator, the battery, the brake, the air conditioner, and the electric equipment.

In addition, the profile creation unit110collects and stores route information through an audio video navigation (AVN) device102for providing information related to roads and traffic. The route information includes information related to a road state, a car travel state on the road, a departure state, a stopover state, and a destination state. The collected driving information and route information may be one learned by a driver through fuzzy logic.

In a case in which state content of the cluster103and the AVN device102is provided to an integration screen, which will hereinafter be described, in the form of a user interface (UI), the profile creation unit110creates manipulation information related to manipulation of the state content.

The created manipulation information may be one learned by the driver through fuzzy logic. The manipulation information may be input from a mobile terminal300connected through a wireless network, such as a mobile communication network.

In a case in which state content of the cluster103and the AVN device102is provided to the mobile terminal300in the form of a user interface (UI), manipulation information input from the mobile terminal300may be transmitted to the profile creation unit110, which may use the manipulation information.

That the driving information, the route information, and the manipulation information are learned by the user through fuzzy logic means that manipulation styles acquired through user's experiences during driving are reflected in the driving information, the route information, and the manipulation information. For example, manipulation styles, such as acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night, may be learned and reflected in the driving information, the route information, and the manipulation information.

Consequently, the profile creation unit110combines the driving information, the route information, and the manipulation information learned through fuzzy logic using various kinds of information acquired from the ECU101. The combination is a result obtained through matching among the driving information, the route information, and the manipulation information. For example, the driving information and the route information may be matched with the manipulation information per time zone, road, and driving speed to combine the driving information, the route information, and the manipulation information. When the driving information, the route information, and the manipulation information are combined, the profile creation unit110may create manipulation style profile information through combination thereamong. In other words, the manipulation style profile information created as described above is matched with the manipulation information per time zone, road, and driving speed. Consequently, driver's favorite manipulation information is reflected in the manipulation style profile information.

For example, manipulation information during driving and car driving state information of the driving information may be combined to learn display information manipulation based on a traveling habit on a traveling route. Examples of learning may include acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night as described above.

The user weight creation unit120gives a manipulation specification weight based on the manipulation information acquired through the profile creation unit110and driver information input by the driver. The manipulation specification weight is a result obtained by giving a weight to the manipulation information in a case in which the manipulation information is displayed through the user interface of the integration screen.

Consequently, the user weight creation unit120may create weight setting information as the manipulation specification weight is given to the manipulation information. The weight setting information may be set through the user interface of the integration screen or through the mobile terminal300. That is, when the manipulation specification weight is input from the mobile terminal300through a customized cluster and an AVN user interface (UI), the manipulation specification weight is transmitted to the user weight creation unit120of the personalized display system100through a wireless network, such as a mobile communication network. The user weight creation unit120, receiving the manipulation specification weight, reflects the manipulation specification weight in the manipulation information to create the weight setting information.

The weight setting information may be more effectively manipulated through the mobile terminal300than through the integration screen of the personalized display system100. This is because easy input (manipulation) is possible at any place where the mobile terminal300communicates with the personalized display system100.

Furthermore, the user weight creation unit120may receive the manipulation specification weight including sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information to create the weight setting information. However, the present disclosure is not limited thereto. Other various kinds of information that can be manipulated by the driver may be included in the manipulation specification weight.

The display specification decision unit130maps the weight setting information of the user weight creation unit120to the manipulation style profile information created by the profile creation unit110to determine a user's favorite display specification. For example, a display specification related to sizes of a screen, symbols, and text, a display cycle, and voice guidance may be determined.

The manipulation style profile information used for mapping may be one in which a result of the manipulation style profile information cumulatively integrated by the profile creation unit110is reflected. Consequently, the display specification decision unit130may map the weight setting information to the cumulatively integrated manipulation style profile information to determine the display specification.

When the display specification is determined as described above, the information may be displayed in consideration of classification of content to be displayed per function, determination of favorite display information suitable for each situation, and the weight setting information.

The integration screen display unit140displays the display specification determined by the display specification decision unit130on the integration screen in the form of a widget. For example, a display specification per route included in the route information may be displayed on the integration screen.

When the display specification is displayed on the integration screen in the form of a widget, the driver may change and arrange a driver's favorite screen on the integration screen through a telephone conversation screen, reflect a driver's use frequency and a driver's style through learning, arbitrarily rearrange the user interface (UI) (setting through the mobile terminal is also possible), and vary and display the combined information based on a real route state and a traveling condition.

Second Embodiment

FIG. 3is a flowchart exemplarily showing a car content management method (S100) of a personalized display system100according to a second embodiment of the present disclosure.

Referring toFIG. 3, the car content management method (S100) of the personalized display system100, for integrating and varying car content, includes steps S110to S160.

First, at step S110, the profile creation unit110collects and stores car driving information acquired by the ECU101. The ECU101controls the accelerator, the battery, the brake, the air conditioner, the cluster103, the audio device, and the electric equipment related to various kinds of driving to create driving information. However, the present disclosure is not limited thereto. The created driving information generically names information related to driving created through operations of the accelerator, the battery, the brake, the air conditioner, and the electric equipment.

In addition, at step S110, the profile creation unit110collects and stores route information through the AVN device102for providing information related to roads and traffic. The route information includes information related to a road state, a car travel state on the road, a departure state, a stopover state, and a destination state. The collected driving information and route information may be one learned by the driver through fuzzy logic.

Subsequently, in a case in which state content of the cluster103and the AVN device102is provided to the integration screen in the form of a user interface (UI), at step S120, the profile creation unit110creates manipulation information related to manipulation of the state content. The created manipulation information may be one learned by the driver through fuzzy logic. The manipulation information may be input from a mobile terminal300connected through a wireless network, such as a mobile communication network. In a case in which state content of the cluster103and the AVN device102is provided to the mobile terminal300in the form of a user interface (UI), manipulation information input from the mobile terminal300may be transmitted to the profile creation unit110, which may use the manipulation information.

That the driving information, the route information, and the manipulation information are learned by the user through fuzzy logic means that manipulation styles acquired through user's experiences during driving are reflected in the driving information, the route information, and the manipulation information. For example, manipulation styles, such as acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night, may be learned and reflected in the driving information, the route information, and the manipulation information.

Subsequently, at step S130, the profile creation unit110combines the driving information, the route information, and the manipulation information learned through fuzzy logic using various kinds of information acquired from the ECU101. The combination is a result obtained through matching among the driving information, the route information, and the manipulation information. For example, the driving information and the route information may be matched with the manipulation information per time zone, road, and driving speed to combine the driving information, the route information, and the manipulation information. When the driving information, the route information, and the manipulation information are combined, at step S130, the profile creation unit110may create manipulation style profile information through combination thereamong. In other words, the manipulation style profile information created as described above is matched with the manipulation information per time zone, road, and driving speed. Consequently, driver's favorite manipulation information is reflected in the manipulation style profile information. For example, manipulation information during driving and car driving state information of the driving information may be combined to learn display information manipulation based on a traveling habit on a traveling route. Examples of learning may include acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night as described above.

Subsequently, at step S140, the user weight creation unit120gives a manipulation specification weight based on the manipulation information acquired at step S120and driver information input by the driver. The manipulation specification weight is a result obtained by giving a weight to the manipulation information in a case in which the manipulation information is displayed through the user interface of the integration screen.

Subsequently, at step S140, the user weight creation unit120may create weight setting information as the manipulation specification weight is given to the manipulation information. The weight setting information may be set through the user interface of the integration screen or through the mobile terminal300. For example, when the manipulation specification weight is input from the mobile terminal300through a customized cluster and an AVN user interface (UI), the manipulation specification weight is transmitted to the user weight creation unit120of the personalized display system100through a wireless network, such as a mobile communication network. The user weight creation unit120, receiving the manipulation specification weight, reflects the manipulation specification weight in the manipulation information to create the weight setting information.

The weight setting information may be more effectively manipulated through the mobile terminal300than through the integration screen of the personalized display system100. This is because easy input (i.e., manipulation) is possible at any place where the mobile terminal300communicates with the personalized display system100.

Furthermore, at step S140, the user weight creation unit120may receive the manipulation specification weight including sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information to create the weight setting information. However, the present disclosure is not limited thereto. Other various kinds of information that can be manipulated by the driver may be included in the manipulation specification weight.

Subsequently, at step S150, the display specification decision unit130maps the weight setting information of the user weight creation unit120to the manipulation style profile information created at step S130to determine a user's favorite display specification. For example, a display specification related to sizes of a screen, symbols, and text, a display cycle, and voice guidance may be determined. The manipulation style profile information used for mapping may be one in which a result of the manipulation style profile information cumulatively integrated by the profile creation unit110is reflected. Consequently, the display specification decision unit130may map the weight setting information to the cumulatively integrated manipulation style profile information to determine the display specification. When the display specification is determined as described above, the information may be displayed in consideration of classification of content to be displayed per function, determination of favorite display information suitable for each situation, and the weight setting information.

Subsequently, at step S160, the integration screen display unit140displays the display specification determined at step S150on the integration screen in the form of a widget. For example, a display specification per route included in the route information may be displayed on the integration screen.

When the display specification is displayed on the integration screen in the form of a widget, the driver may change and arrange a driver's favorite screen on the integration screen through a telephone conversation screen, reflect a driver's use frequency and a driver's style through learning, arbitrarily rearrange the user interface (UI) (setting through the mobile terminal is also possible), and vary and display the combined information based on a real route state and a traveling condition.

Third Embodiment

FIG. 4is a view exemplarily showing a personalized display system200according to a third embodiment of the present disclosure, andFIG. 5is a detailed view showing components of the personalized display system200according to the third embodiment of the present disclosure.

As shown, the personalized display system200, for integrating and varying car content, includes a mobile terminal210and a car integration device220.

In a case in which state content of a cluster203and an AVN device202is received from the car integration device220, which will hereinafter be described, the mobile terminal210displays the state content in the form of a customized cluster and an AVN user interface (UI). In this case, manipulation information related to manipulation of the state content is created through the cluster and the AVN user interface (UI). The created manipulation information may be one learned by the driver through fuzzy logic.

When the manipulation information is created, the mobile terminal210sets a manipulation specification weight for weighting the manipulation information to create weight setting information based on the manipulation information created through the customized cluster and the AVN user interface (UI) and driver information input by the driver. The set manipulation specification weight means that a weight of driver's favorite manipulation information is given by a driving habit and learning of the driver. The manipulation specification weight may include sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information as described above.

Of course, the manipulation specification weight may be set through the cluster and the AVN user interface (UI). However, the present disclosure is not limited thereto. Other various kinds of information that can be manipulated by the driver may be included in the manipulation specification weight. The created manipulation information, the driver information, and the weight setting information including the manipulation specification weight are transmitted to the car integration device220through a wireless network, such as a mobile communication network.

The car integration device220collects and stores car driving information transmitted from an electronic control unit (ECU)201. The ECU201controls an accelerator, a battery, a brake, an air conditioner, the cluster203, an audio device, and electric equipment related to various kinds of driving to create driving information. However, the present disclosure is not limited thereto. The created driving information generically names information related to driving created through operations of the accelerator, the battery, the brake, the air conditioner, and the electric equipment.

In addition, the car integration device220collects and stores route information through the AVN device202for providing information related to roads and traffic. The route information includes information related to a road state, a car travel state on the road, a departure state, a stopover state, and a destination state.

The collected driving information and route information may be one learned by the driver through fuzzy logic. That the driving information, the route information, and the manipulation information are learned by the user through fuzzy logic means that manipulation styles acquired through user's experiences during driving are reflected in the driving information, the route information, and the manipulation information. For example, manipulation styles, such as acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night, may be learned and reflected in the driving information, the route information, and the manipulation information.

Consequently, the car integration device220combines the driving information, the route information, and the manipulation information learned through fuzzy logic. The combination is a result obtained through matching among the driving information, the route information, and the manipulation information. For example, the driving information and the route information may be matched with the manipulation information per time zone, road, and driving speed to combine the driving information, the route information, and the manipulation information. When the driving information, the route information, and the manipulation information are combined, the car integration device220may create manipulation style profile information through combination thereamong. In other words, the manipulation style profile information created as described above is matched with the manipulation information per time zone, road, and driving speed. Consequently, driver's favorite manipulation information is reflected in the manipulation style profile information. For example, the manipulation information during driving and car driving state information of the driving information may be combined to learn display information manipulation based on a traveling habit on a traveling route. Examples of learning may include acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night as described above.

Furthermore, the car integration device220maps the weight setting information received from the mobile terminal210to the pre-created manipulation style profile information to determine a user's favorite display specification. For example, a display specification related to sizes of a screen, symbols, and text, a display cycle, and voice guidance may be determined. The manipulation style profile information used for mapping may be one in which a cumulatively integrated result is reflected. Consequently, the car integration device220may map the weight setting information to the cumulatively integrated manipulation style profile information to determine the display specification.

When the display specification is determined as described above, the information may be displayed in consideration of classification of content to be displayed per function, determination of favorite display information suitable for each situation, and the weight setting information.

In addition, the car integration device220displays the determined display specification on the integration screen in the form of a widget. For example, a display specification per route included in the route information may be displayed on the integration screen.

When the display specification is displayed on the integration screen in the form of a widget, the driver may change and arrange a driver's favorite screen on the integration screen through a telephone conversation screen, reflect a driver's use frequency and a driver's style through learning, arbitrarily rearrange the user interface, and vary and display the combined information based on a real route state and a traveling condition.

Fourth Embodiment

FIG. 6is a flowchart exemplarily showing a car content management method (S200) of the personalized display system200according to a fourth embodiment of the present disclosure.

Referring toFIG. 6, the car content management method (S200) of the personalized display system200, for integrating and varying car content, includes steps S210to S260.

First, in a case in which state content of the cluster203and the AVN device202is received from the car integration device220, at step S210, the mobile terminal210displays the state content in the form of a customized cluster and an AVN user interface (UI). In this case, the mobile terminal210creates manipulation information related to manipulation of the state content through the cluster and the AVN user interface (UI). The created manipulation information may be one learned by the driver through fuzzy logic.

Subsequently, when the manipulation information is created at step S210, at step S220, the mobile terminal210sets a manipulation specification weight for weighting the manipulation information to create weight setting information based on the manipulation information created through the customized cluster and the AVN user interface (UI) and driver information input by the driver.

The set manipulation specification weight means that a weight of driver's favorite manipulation information is given by a driving habit and learning of the driver. The manipulation specification weight may include sizes of a screen, symbols, and text, a display cycle, and volume control of voice guidance related to the manipulation information and the input driver information as described above. Of course, they are set through the cluster and an AVN user interface (UI). However, the present disclosure is not limited thereto. Other various kinds of information that can be manipulated by the driver may be included in the manipulation specification weight.

Subsequently, at step S230, the mobile terminal210transmits the manipulation information created at steps S210and S220, the driver information, and the weight setting information including the manipulation specification weight to the car integration device220. The mobile terminal210may transmit the above information to the car integration device220through a wireless network, such as a mobile communication network.

Subsequently, at step S240, the car integration device220collects and stores car driving information transmitted from the ECU201. The ECU201controls an accelerator, a battery, a brake, an air conditioner, the cluster203, an audio device, and electric equipment related to various kinds of driving to create driving information. However, the present disclosure is not limited thereto. The created driving information generically names information related to driving created through operations of the accelerator, the battery, the brake, the air conditioner, and the electric equipment.

Subsequently, at step S240, the car integration device220collects and stores route information through the AVN device202for providing information related to roads and traffic. The route information includes information related to a road state, a car travel state on the road, a departure state, a stopover state, and a destination state. The collected driving information and route information may be one learned by the driver through fuzzy logic. That the driving information, the route information, and the manipulation information are learned by the user through fuzzy logic means that manipulation styles acquired through user's experiences during driving are reflected in the driving information, the route information, and the manipulation information. For example, manipulation styles, such as acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night, may be learned and reflected in the driving information, the route information, and the manipulation information.

Consequently, at step S240, the car integration device220combines the driving information, the route information, and the manipulation information learned through fuzzy logic. The combination is a result obtained through matching among the driving information, the route information, and the manipulation information. For example, the driving information and the route information may be matched with the manipulation information per time zone, road, and driving speed to combine the driving information, the route information, and the manipulation information. When the driving information, the route information, and the manipulation information are combined, the car integration device220may create manipulation style profile information through combination thereamong. In other words, the manipulation style profile information created as described above is matched with the manipulation information per time zone, road, and driving speed. Consequently, driver's favorite manipulation information is reflected in the manipulation style profile information. For example, the manipulation information during driving and car driving state information of the driving information may be combined to learn display information manipulation based on a traveling habit on a traveling route. Examples of learning may include acceleration and deceleration, the number of times of manipulation and the details of manipulation, maintenance/change of a main screen, the type of a road, a long/short distance, and determination of day/night as described above.

Subsequently, at step S250, the car integration device220maps the weight setting information received from the mobile terminal210to the pre-created manipulation style profile information to determine a user's favorite display specification. For example, a display specification related to sizes of a screen, symbols, and text, a display cycle, and voice guidance may be determined. The manipulation style profile information used for mapping may be one in which a cumulatively integrated result is reflected. Consequently, at step S250, the car integration device220may map the weight setting information to the cumulatively integrated manipulation style profile information to determine the display specification. When the display specification is determined as described above, the information may be displayed in consideration of classification of content to be displayed per function, determination of favorite display information suitable for each situation, and the weight setting information.

Finally, at step S260, the car integration device220displays the display specification determined at step S250on the integration screen in the form of a widget. For example, a display specification per route included in the route information may be displayed on the integration screen of the car integration device220. When the display specification is displayed on the integration screen in the form of a widget, the driver may change and arrange a driver's favorite screen on the integration screen through a telephone conversation screen, reflect a driver's use frequency and a driver's style through learning, arbitrarily rearrange the user interface, and vary and display the combined information based on a real route state and a traveling condition.

As is apparent from the above description, the present disclosure has an effect in that it is possible for the driver to change and arrange a driver's favorite screen on the integration screen, reflect a driver's use frequency and a driver's style through learning, and arbitrarily rearrange the user interface (UI) (set by the mobile terminal).

In addition, the present disclosure has an effect in that it is possible to display content related to the cluster and the AVN device through the integration display window in a coupled or combined state, vary and display the combined information based on a real route state and a traveling condition, and store the above information in a database such that the information can be reflected in the next driving operation.

Embodiments of the present disclosure may include a computer readable medium including program commands for implementing operations implemented through various computers. The computer readable medium can store program commands, data files, data structures or combinations thereof. The program commands recorded in the medium may be specially designed and configured for the present disclosure or be known to those skilled in the field of computer software. Examples of a computer readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, or hardware devices such as ROMs, RAMs, and flash memories, which are specially configured to store and execute program commands. Examples of the program commands include a machine language code created by a compiler and a high-level language code executable by a computer using an interpreter and the like. The hardware device may be configured as one or more software modules in order to perform processing according to the present disclosure, and vice versa.