阅读说明：本技术 用于个性化地使用通信装置的方法 (Method for the personalized use of a communication device ) 是由 S·戈龙茨-托梅 于 2020-04-09 设计创作，主要内容包括：本发明涉及一种用于通过控制器(40)向车辆(100)中的至少一个人员(11)以个性化方式提供信息的方法,其中确定并存储至少一个人员(11)的参数,执行对至少一个通信装置(20,21,22,23)的选择,其中基于所确定的参数以对于人员(11)优化的方式选择通信装置(20,21,22,23),并且使用所选择的至少一个通信装置(20,21,22,23)以将信息输出给人员(11)。本发明还涉及一种系统(10)。(The invention relates to a method for providing information to at least one person (11) in a vehicle (100) in a personalized manner by means of a controller (40), wherein a parameter of the at least one person (11) is determined and stored, a selection of at least one communication device (20, 21, 22, 23) is carried out, wherein the communication device (20, 21, 22, 23) is selected in an optimized manner for the person (11) on the basis of the determined parameter, and the selected at least one communication device (20, 21, 22, 23) is used for outputting the information to the person (11). The invention also relates to a system (10).)

1. A method for providing information to at least one person (11) in a vehicle (100) in a personalized manner by means of a controller (40), wherein

-determining and storing a parameter of the at least one person (11),

-performing a selection of at least one communication device (20, 21, 22, 23), wherein the communication device (20, 21, 22, 23) is selected based on the determined parameter, and

-outputting information to the person (11) using the selected at least one communication device (20, 21, 22, 23).

2. The method according to claim 1, wherein the parameter is determined by measuring a response time to an output and/or an instruction of the communication device (20, 21, 22, 23) of the vehicle (100), wherein the parameter is determined situation-dependently.

3. The method according to claim 1 or 2, wherein the parameter is determined by evaluating an interaction performed by the at least one person (11), wherein the parameter is determined from the person (11) and/or from a situation-dependent boundary condition.

4. A method according to any one of claims 1 to 3, wherein the selection of the at least one communication device (20, 21, 22, 23) of the vehicle (100) is performed in a manner that matches the response speed of the at least one person (11) and/or the presettings of the at least one person (11) for output.

5. The method according to any of claims 1 to 4, wherein the selection of the at least one communication device (20, 21, 22, 23) is performed by an algorithm, a simulation model and/or by artificial intelligence, wherein the determined situation-dependent boundary conditions are used as input variables for the algorithm, the simulation model and/or the artificial intelligence.

6. The method according to any of claims 1 to 5, wherein the selected communication device (20, 21, 22, 23) is transmitted to at least one application (70, 71, 72, 73), wherein the at least one application (70, 71, 72, 73) is designed as a driving assistance system (73).

7. The method according to any of claims 1 to 6, wherein the selected at least one communication device (20, 21, 22, 23) is assigned a priority according to the determined parameter, wherein the selected at least one communication device (20, 21, 22, 23) is used for outputting information or instructions based on the assigned priority and the urgency of a response by the at least one person (11).

8. The method according to any of claims 1 to 7, wherein the selection of the communication device (20, 21, 22, 23) for output is updated continuously, at defined time intervals or based on an insufficient confidence of the calculated selection of the communication device (20, 21, 22, 23).

9. The method according to any of claims 1 to 8, wherein the at least one person (11) is informed of the selected at least one communication device (20, 21, 22, 23), wherein the selected at least one communication device (20, 21, 22, 23) is enabled by the at least one person (11).

10. A system (10) having at least two communication devices (20, 21, 22, 23, 30, 31, 32, 33) for outputting and/or receiving information, having a controller (40) for operating the at least two communication devices (20, 21, 22, 23, 30, 31, 32, 33), wherein the controller (40) is designed for carrying out the method according to one of the preceding claims.

Technical Field

The invention relates to a method and a control unit for the personalized provision of information to at least one person in a vehicle.

Background

Various functions or auxiliary systems are present in the vehicle, which can communicate with the driver or other persons. For this purpose, a vehicle-side communication device is used. Such communication means may be, for example, a screen displaying information or a warning to the driver.

For example, the driving assistance system may be a lane keeping assistance device, an emergency braking assistance device, a collision warning system, or an automatic driving function. In conjunction with vehicle-side information systems, a large amount of information is generated, which must be processed by the personnel in the vehicle. As the amount of information displayed and the amount of possible communication devices increases, the driver's responsiveness may decrease.

It is known that the driver can predefine the method of the preferred communication means. In particular, the specific function of the vehicle may use the preferred communication means. For example, haptic feedback may be generated on the steering wheel in the event of a lane keeping aid warning. When a call is made via the hands-free device, the relevant information may be displayed on a screen or a head-up display. The large number of possible communication devices can confuse the driver when the vehicle is in operation. In particular, a warning or information from one communication device may be ignored when focusing attention on another communication device.

Disclosure of Invention

The object on which the invention is based is: a method of automatically selecting a communication device is implemented such that response times or other variables identified as critical to traffic safety are increased or optimized.

This object is achieved by the features set forth in claim 1 and claim 10. Further advantageous embodiments of the invention are described in the dependent claims.

According to one aspect of the invention, a method for providing information to at least one person in a vehicle in a personalized manner is proposed. The method may preferably be performed by a controller, which may be connected to at least one communication device. In particular, the controller may be designed for selecting at least one communication device, or for providing a function for selection.

In one step, a parameter of at least one person is determined and stored to enable the provision of the communication means in a personalized manner. In a further step, at least one communication device is selected based on the determined parameters. The selected at least one communication device is then used to output information to the person. One or more parameters are person-related or individual and may be determined during a learning phase. Thereby, in particular, parameters for a person-dependent optimization are provided. In particular, the parameters may be related to the communication device used. The person-related or individual response behavior to the used communication device can be described by the parameter. In particular, a communication device can be selected by means of the determined parameters, to which the person responds or reacts particularly effectively. The determined at least one communication device may be transmitted to a system or function of the vehicle in the suggested or recommended range. The respective function or system may then decide whether the determined communication device is used for input or output.

According to another aspect of the present invention, a system having at least two communication devices for outputting and/or receiving information is provided. The system has at least one controller for operating at least two communication devices. The controller is designed for carrying out the method according to the invention. The controller may be constructed as a separate device or as a module of an existing control unit. Alternatively, the controller may be implemented in the form of software that may be integrated into an existing module, system, or function. For example, the method may be performed in parallel with other tasks of the function.

By means of the method and system, a knowledge model can be created, which is designed for learning and storing the behavior of at least one person. During a defined learning phase, parameters of the person, such as behavior pattern and response, may be determined. After the learning phase, the generated knowledge may be used in the form of parameters for selecting the at least one communication device. The communication means specifically selected by the user are matched to the person and most efficiently perceived by the person. In this way, information or warnings can be displayed optimally via the communication device without input from the driver or passenger side, wherein, for example, the response time is minimal.

The knowledge model may take into account the following facts: i.e. the human response to the stimulus is different. Some people may respond more strongly or more effectively to graphical output, audio output, tactile feedback, or combined output. In particular, the response to the output or the communication device making the output may depend on the content or type of the information. These factors may be considered in the form of parameters by the knowledge model.

It is possible to automatically learn how to most efficiently transmit information and warnings to personnel in terms of response time by means of a knowledge model.

By storing or depositing the collected parameters about the person, the information can be generally used to present information to the person. In particular, the preferred or automatically selected communication device can be used for information output by various functions of the vehicle.

In the learning phase, in particular depending on the function of the vehicle, a communication device may be selected which is determined to be optimal for the respective function during the development phase. For example, a predetermined communication device can be used, for example, by a corresponding function or system before the optimum communication device is determined during the learning phase. Initial measurements for determining the parameters, i.e. for example the response times, can be carried out by means of the preset communication means.

The knowledge model may be configured as a simulation model, algorithm, artificial intelligence, or the like. The knowledge model may be configured as a user model for one or more persons.

In addition, other boundary conditions, for example, depending on the situation, i.e. for example the time of day, the brightness, the weather conditions, the distraction of the driver, the fatigue state of the driver, etc., can also be taken into account in the selection of the communication device depending on the parameters. By means of the learning phase or the use of the parameters, one or more communication devices can be selected which best match the requirements of the person and the respective function of the vehicle. Functions such as auxiliary functions can access the communication device and interact with persons via at least one communication device.

Preferably, the parameter may be a personalized or individual parameter associated with the person. Different sets of parameters may be associated with different people. The parameters may be the result of a learning phase or the result of an input by a corresponding person. The preference, tendency, preference, etc. of the persons can be determined by evaluating the processes of the respective persons in conjunction with the functions of the vehicle. All measured values and information associated with external influences, i.e. for example time, season, temperature, can be summarized by situation-dependent parameters or boundary conditions.

In particular, the selection of the communication means may be made on a case-by-case basis and optimized for the at least one person. The selection can be carried out in particular in a manner adapted to the driving situation and/or the interaction scenario. For example, the interaction scenario may be, for example, a request for correcting steering of a steering wheel according to an alert of a lane keeping aid or a request for braking of an emergency braking aid or a selection of an infotainment function.

By means of the method, it is possible to combine communication devices of different driving assistance functions of the vehicle with communication devices of an infotainment device in the vehicle, for example, in order to achieve as simple/clear a notification as possible and to minimize interruptions to the current activities of persons in the vehicle. Alternatively or additionally, the information may be made via a communication device, so that driver distraction or confusion is reduced and traffic safety is improved.

Further, the number of information items output via the communication means may be proportional to the situation. For example, the amount of information in emergency situations, such as brake maneuvers or cornering situations, may be reduced to avoid distraction or confusion. The number of communication devices to be controlled and the number of messages to be displayed can be increased without problems, i.e. for example straight ahead without obstruction. Depending on the parameters determined from the situation, certain communication means and/or information output may be temporarily stopped or blocked so as not to disturb the attention of the driver.

The selection of the communication means may preferably be made person-to-person and separately. Thus, an individual, personalized adaptation of the communication device may be achieved.

The determined parameter may have a direction of attention of the driver. The direction of attention or the current gaze direction may be used for optimal output of row important information or warnings.

This optimized selection of communication means for providing information can be used by all systems of the vehicle. In particular, the selection of the respective system in combination with the interaction of the learning of the at least one person can be carried out adaptively. In particular, the original communication means of the different systems can be combined or used jointly. For example, the voice output of an infotainment system may be used as a communication device for warnings for an automatic driving system.

To determine the parameters, human interaction may be evaluated. To this end, the input of the person may be correlated with a previous output of the vehicle system. The interaction can be evaluated in terms of the response speed and situation of the person. The input of the person can be performed, for example, by operating a steering wheel or a pedal, by voice input, operating an operating element, etc. The evaluation may be performed as appropriate. In this case, the location of the interaction or the vehicle location and the boundary conditions of the interaction are taken into account. It is then possible to decide how best to transmit information, warnings or instructions to the person by selecting a communication means.

The at least one person may be a driver in the vehicle or any other person accessing the vehicle functions.

The selection of the communication device can be made particularly simply if the parameter is determined by measuring the response time to an output and/or a command of the communication device of the vehicle. Preferably, the parameters may be determined according to circumstances. Thus, communication between the system or function of the vehicle and the person can be made in a customized manner. The emphasis may be to increase the response speed or, for example, to reduce distraction.

Relevant parameters for adapting or selecting the communication device may be predefined. In the case of interactions that require the driver to respond, the response times following the instructions may be weighted more strongly. For example, the response time may be the time elapsed from the output of the brake warning until the driver operates the brake pedal. Furthermore, the response time between the warning of the lane keeping aid and the corrective movement of the steering wheel can be measured. The response time appears different depending on the communication device and the situation. The communication device with the lowest response time during the learning phase can be used for future warnings after such a learning phase.

According to one embodiment, the parameters are determined by evaluating interactions performed by at least one person, wherein the parameters are determined according to the person and/or according to situation-dependent boundary conditions, i.e. e.g. the route traveled or environmental conditions, the time of day, etc. The learning phase can thereby be carried out particularly precisely.

It is advantageous to consider the respective case in which the response time is determined. For this purpose, for example, a user or user identification, the time of day, the travel duration, the season, the number of persons in the vehicle, the travel direction, the speed, the external temperature, the temperature in the interior of the vehicle, the forces acting on the persons, secondary tasks, etc. can be taken into account in the selection of the communication device. The boundary conditions or situation-dependent parameters can be determined and used by vehicle sensors.

The interactions performed in connection with the driving assistance functions can be distinguished from those of infotainment systems. For example, interaction with the hands-free device begins by answering the call and ends by hanging up the call.

According to one embodiment, the selection of the at least one communication device of the vehicle is performed in a manner that is adapted to the response speed of the at least one person and/or to a preset of the output by the at least one person. Thus, the response speed can be determined according to the communication means for output.

In order to match the execution of the learning phase and the selection of the communication means to the person, the identification of the person is performed beforehand. This can be done, for example, by entering numbers, by measurement data of a fingerprint sensor, by facial recognition of a person, by biometric voice recognition, etc.

Separate learning phases may be performed for different persons and different parameters may be determined. Thus, the user-associated, optimal communication device selection may be stored in the controller.

According to a further embodiment, the selection of the at least one communication means is performed by an algorithm, a simulation model and/or by artificial intelligence, wherein the determined situation-dependent boundary conditions are used as input variables for the algorithm, the simulation model and/or the artificial intelligence. The method can thus take into account external influences and can be carried out particularly precisely by the controller.

The controller can be connected, preferably in a data-conducting manner, to a communication device of the infotainment system of the vehicle, for example to a human-vehicle interface, a graphical interface, a voice interface, etc. Furthermore, the controller can be coupled to other communication devices, i.e. for example an output unit for time or position, a screen and a head-up display, an audio output, a steering wheel or a haptic output of the seat.

The respective function or system of the vehicle may preferably inform the controller which actions are required and which parameters are determined.

According to a further embodiment, the selected communication device is transmitted to at least one application, wherein the at least one application is designed as a driving assistance system. In this way, an optimal communication device can be assigned to each system, so that the output channels can be used to transmit instructions or information in an individual-adapted manner to the persons.

According to a further embodiment, the selected at least one communication medium is assigned a priority according to the determined parameters, and the selected at least one communication device is used for outputting information or instructions based on the assigned priority and the urgency of the response by the at least one person. Depending on the efficiency of the respective communication device in terms of the response time of the person, a communication device with a high priority can be selected in the case of warnings or critical operating instructions, wherein the person can respond most quickly. Communication means with lower priority may be used for the information.

The selection of the communication device can be checked or adapted in a versatile manner if the selection of the communication device for output is updated continuously, with defined time intervals or with insufficient confidence based on the calculated selection of the communication device. For example, the controller may perform the learning phase in the background. The person may be notified once a new result in terms of optimized communication means is determined. The individually optimized communication device can be intuitively introduced to the person. After the confirmation by the person, the updated selection of the communication device can be set effectively. If the confidence value of the learning process for determining the personalization parameter does not exceed a predetermined value, there is preferably an insufficient confidence. Therefore, if the confidence is not high enough, the confidence is not sufficient. For example, the preset value may have a confidence of 80%, for example.

Furthermore, the decision to switch the selection may be implemented based on the confidence of the selection of the communication device so far. For example, the confidence level may explain how accurate the calculation or selection of the communication device has been so far. The boundary conditions for the confidence level may be set in a user-defined manner. For higher confidence, the controller may require a longer learning phase. The learning phase can be reduced by setting a lower confidence.

According to a further embodiment, the at least one selected communication device is informed to the at least one person, wherein the at least one selected communication device is enabled by the at least one person. The controller can thereby query at least one person about the updating of the preset communication device. For example, recommendations may be transmitted to the person, by which the speed of their response in an emergency situation is increased. The person may allow or deny the change of communication device selection by input.

Drawings

Several embodiments of the invention are explained in more detail below with reference to the figures. The figures show:

figure 1 shows a schematic diagram of a system according to a first embodiment of the invention to illustrate the learning phase,

figure 2 shows a schematic diagram of a system according to a first embodiment of the invention to illustrate the association of selected communication devices,

fig. 3 shows a schematic diagram of a system according to a first embodiment of the invention to illustrate access to a communication device, and

FIG. 4 shows a schematic diagram of a vehicle having a system.

Detailed Description

Fig. 1 shows a schematic diagram of a system 10 according to a first embodiment of the invention to illustrate the learning phase. In particular, the method according to the invention is illustrated by means of fig. 1 to 3. For example, the system 10 is built into a vehicle 100.

According to this embodiment, the system 10 has a plurality of communication means 20, 21, 22, 23 for outputting information, instructions or warnings to at least one person 11.

The communication means 20, 21, 22, 23 may be, for example, a voice output mechanism, a graphical output unit or screen, a haptic feedback unit, etc.

Furthermore, communication means 30, 31, 32, 33 are provided for receiving or reading information. The communication means 30, 31, 32, 33 may receive the input of the person 11 and forward or process it. The communication means 30, 31, 32, 33 can be designed, for example, as a microphone, a camera, an operating element or button, a touch-sensitive screen, etc.

The communication means 20, 21, 22, 23 for performing the output and the communication means 30, 31, 32, 33 for receiving the input may be designed as separate communication means or as combined input-output communication means.

Furthermore, the system 10 has a controller 40 for selecting the communication means 20, 21, 22, 23 for outputting information and for reading the communication means 30, 31, 32, 33 for receiving user input. In particular, the controller 40 may be designed to suggest optimal or "optimal" communication devices 20, 21, 22, 23, 30, 31, 32, 33 for outputting information and/or for reading user input for the functions and systems of the vehicle 100. The corresponding function may be, for example, a driving assistance system or a function or an infotainment system. Thus, the functionality of the vehicle 100 may also make decisions independently of the communication devices 20, 21, 22, 23, 30, 31, 32, 33 and in particular independently accept or reject the advice of the controller 40.

The controller 40 is also connected to a plurality of sensors 60, 61, 62 via an interface 50. Thus, the controller 40 may receive and evaluate sensor data from the sensors 60, 61, 62.

The sensors 60, 61, 62 are used to determine boundary conditions and/or situations, i.e. for example the time of day, the vehicle speed, the fatigue state of the person 11, etc. Alternatively or additionally, the sensors 60, 61, 62 may be connected to the controller 40 directly or without the interface 50.

To evaluate the interaction of the person 11, the controller 40 is coupled to the auxiliary systems 70, 71, 72, 73 in the form of conducted data. The assistance systems 70, 71, 72, 73 can be designed, for example, as lane keeping warning devices, emergency braking assistance devices, blind spot assistance devices and automatic driving functions.

The auxiliary systems 70, 71, 72, 73 have access to the communication means 20, 21, 22, 23 for outputting information and instructions and the person can request action to be taken. Based on the input of the person 11 and the evaluation of the communication means 30, 31, 32, 33, the controller 40 may analyze the interaction of the person 11.

From the sensor data of the sensors 60, 61, 62, situation-dependent boundary conditions of the interaction can be determined and taken into account in the analysis. This can be converted into a learning phase in which the parameters of the person 11 are generated and stored in the controller 40.

A model may be created by the controller 40, which uses the stored parameters for selecting an optimized communication means 20, 21, 22, 23 for the interaction of the person 11.

Two examples with parameters determined by the control unit 40 are explained below:

example 1: outputting a warning by a lane keeping warning device

Output of a warning by the authentication sensor 26

And (4) action: is free of

-output warning due to leaving the lane

The sight line direction: not concentrated in the direction towards the head-up display

Viewing time: 5 seconds

And (3) voice output: is free of

Seat output: tactile, activation

Outputting a steering wheel: tactile sensation, deactivation

-boundary conditions, situation data

A place: geographic coordinates

Time: dd-mm-yy, HR: MIN

Brightness: low, dark

Weather: fog mist

A wiper: active, second order

The state is as follows: exhaustion of the muscle and fatigue

Response time: 3 seconds

Example 2: person 11 operation call

Authentication of the person by authenticating the data of the sensor 26

And (4) action: is free of

Personnel initiating a call

Inputting: touch sense (touch screen)

The sight line direction: focusing on a direction towards the head-up display

Viewing time: 20 seconds

And (3) outputting: head-up display

And (3) outputting: speech output

Seat output: tactile sensation, deactivation

Outputting a steering wheel: tactile sensation, deactivation

-boundary conditions, situation data

A place: geographic coordinates

Time: dd-mm-yy, HR: MIN

Brightness: low, dark

Weather: fog mist

A wiper: active, second order

The state is as follows: exhaustion of the muscle and fatigue

The described parameters may be stored in an internal memory of the controller 40. In particular, the parameters may be stored in such a way that a subsequent linking to the respective case is possible. For example, a situation may be classified as "foggy, dark, tired person".

In the case of a further warning of the lane keeping warning device, a warning can be output on the basis of a suggested selection of the controller 40, wherein the best communication device 20, 21, 22, 23 is suggested. Depending on the described parameters, the head-up display can be selected as the communication device in combination with the haptic feedback of the seat as an optimal output.

The respective parameters may be divided into a plurality of value ranges to achieve comparability of the situation. For example, the coordinates of a location may have an area that includes a street segment. Similarly, a time of day may be declared morning between 6 and 12 o 'clock, and evening between 12 and 17 o' clock. The brightness may be assigned as "bright", "soft" or "dark" depending on the measurement data of the light sensor.

If the recommendation for the selected communication device does not conform to the person 11 or is disliked, the selection of the communication device may be inhibited by an input.

The model of the controller 40 may preferably be designed such that the data or parameters and the selected communication device may be output to different vehicles. Thereby, the best selection of the communication device can be made immediately and without a learning phase.

Fig. 2 shows a schematic diagram of the system 10 according to the first embodiment of the invention to illustrate the association 80 of the selected communication devices 20, 21, 22, 23. In particular, the auxiliary systems 70, 71, 72, 73 are here relayed, in particular by the controller 40: via which communication means 20, 21, 22, 23 the person 11 can respond most effectively and optimally.

A schematic diagram of a system 10 according to an embodiment of the invention is shown in fig. 3 to illustrate access to the communication devices 20, 21, 22, 23. The arrows illustrate the communication means 20, 21, 22, 23 recommended by the controller 40, which are used by the assistance systems 70, 71, 72, 73 for outputting information and instructions to the person 11.

Fig. 4 shows a schematic view of a vehicle 100 with the system 10. For example, the person 11 may be a driver of the vehicle 100. According to this embodiment, the system 10 is built into a vehicle 100, but is not limited to automotive applications. Rather, the system 10 may also be used, for example, in industrial fields where warnings are generated and the attention of personnel is related to safety.