Method, device, computer program and computer-readable storage medium for determining multiple vehicle occupant profiles
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- BAYERISCHE MOTOREN WERKE AG
- Filing Date
- 2020-11-04
- Publication Date
- 2026-07-23
AI Technical Summary
Existing vehicle systems lack the ability to efficiently determine and adapt to the diverse usage behaviors of multiple vehicle occupants, leading to suboptimal operation and user experience.
A method and device for determining multiple vehicle occupant profiles based on vehicle usage data, using machine learning and statistical models to analyze interactions with vehicles, enabling personalized and predictive vehicle operation.
Enables precise assignment and adaptation of vehicle occupant profiles, improving vehicle operation and user satisfaction by predicting and responding to individual usage behaviors.
Smart Images
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Abstract
Description
[0001] The invention relates to a method for determining multiple vehicle occupant profiles. The invention further relates to a device for determining multiple vehicle occupant profiles. The invention further relates to a computer program and a computer-readable storage medium for determining multiple vehicle occupant profiles.
[0002] A vehicle can have one or more vehicle functions for operating the vehicle. Furthermore, modern vehicles can be used differently by different vehicle occupants.
[0003] One objective of the invention is to create a method for determining multiple vehicle occupant profiles, which contributes to the safe and comfortable operation of vehicles. Furthermore, a corresponding device, a corresponding computer program, and a computer-readable storage medium are to be created.
[0004] The problem is solved by the features of the independent patent claims. Advantageous embodiments are characterized in the dependent claims.
[0005] According to a first aspect, the invention is characterized by a method for determining multiple vehicle occupant profiles.
[0006] According to the first aspect, initial vehicle usage data for multiple vehicles is provided. This initial vehicle usage data is representative of the interactions of multiple vehicle occupants with the respective vehicles. Based on this initial vehicle usage data, multiple vehicle occupant profiles are determined. Each vehicle occupant profile is representative of the respective usage behavior of a vehicle occupant with respect to any given vehicle.
[0007] The multiple occupants of several vehicles can, on the one hand, represent the fact that several occupants are each assigned to one vehicle. Additionally or alternatively, the multiple occupants of several vehicles can represent the fact that each vehicle is assigned one of the multiple occupants.
[0008] The multiple vehicle occupants can interact with their respective vehicles in different or individual ways. These interactions are representative, for example, of: the number and / or type of use of a vehicle function, the type of operation of the respective vehicle by the respective occupant, and / or the period of time during which the respective vehicle is used or operated by the respective occupant.In particular, the interactions can be representative of: the setting of an interior temperature of the respective vehicle by the respective vehicle occupant, for example depending on a seat heating system in the respective vehicle, and / or the acceleration behavior of the respective vehicle by the respective vehicle occupant, and / or the braking behavior of the respective vehicle by the respective vehicle occupant, and / or the speed profile of a journey of the respective vehicle by the respective vehicle occupant, and / or a geographical region in which the respective vehicle is used.was used and / or an adjustment of a seat of the respective vehicle on which the respective vehicle occupant is sitting, and / or an interaction with a human-machine interface (so-called "human-machine interface, HMI"), such as a digital service of a vehicle manufacturer of the vehicle and / or a digital service of any provider (so-called "third party"), such as Spotify, or the like.
[0009] When there are many occupants in multiple vehicles, a subset of these occupants may interact with each vehicle in a similar way. Therefore, it is possible to determine the usage patterns of this subset of occupants with respect to any given vehicle. This can be extended to multiple subsets of occupants and / or multiple usage patterns.
[0010] The method described in the first aspect makes it possible to automatically determine multiple vehicle occupant profiles based on their interactions. These occupant profiles can also be referred to as standard vehicle profiles. Furthermore, this approach allows for the abstraction of individual usage patterns based on these interactions, making them transferable to other vehicle occupants.
[0011] The initial vehicle usage data can include any sensor data and / or actuator data or similar from the respective vehicles that are representative of the interactions. For example, the initial vehicle usage data includes: temperature data representative of the interior temperature setting of a respective vehicle, and / or time period data representative of the period during which the respective vehicle was used by the respective vehicle occupant.is operated, and / or acceleration data that is representative of the respective acceleration behavior, and / or braking data that is representative of the respective braking behavior, and / or speed data that is representative of the respective speed profile of the journey of the respective vehicle by the respective vehicle occupant, and / or location data that is representative of the geographical region in which the respective vehicle is or was used by the respective vehicle occupant, such as data from a navigation device of the vehicle, such as GPS data, or the like.
[0012] Additionally, the initial vehicle usage data may include personalized customer profiles and / or a collection of information relating to each of the multiple vehicle occupants.
[0013] In addition, initial vehicle usage data can be determined depending on a mobile device of the respective vehicle occupant that can be coupled to the respective vehicle via signal technology.
[0014] Additionally, initial vehicle usage data can be determined depending on the equipment configuration of the respective vehicle.
[0015] The usage behavior of a vehicle occupant with regard to any given vehicle can be any type of usage behavior. For example, the usage behavior is representative of an occupant's age and / or age group, gender, one or more preferences, such as an affinity for technological innovation, a preferred interior temperature, preferred media use, or similar characteristics.
[0016] The respective usage behavior is particularly representative of the current and / or future usage behavior of the vehicle occupant with regard to any given vehicle.
[0017] The respective usage behavior can exhibit several usage behavior indicators, such as an age indicator and / or one or more preference indicators or the like.
[0018] For example, a specific vehicle occupant profile can be representative of the usage patterns of several vehicle occupants with regard to any given vehicles. In this case, the multiple vehicle occupants exhibit similar usage patterns with respect to the vehicles.
[0019] The multiple vehicles can be any type of vehicle and / or include different types of vehicles, such as a battery-electric vehicle and / or a vehicle with an internal combustion engine and / or a so-called hybrid vehicle and / or a partially or fully automated vehicle or the like.
[0020] The multiple vehicle occupants can be any occupants of the respective vehicles, such as a driver, a front passenger, a fellow passenger, or the like.
[0021] For example, the multiple vehicle occupant profiles are determined by a server located externally to the multiple vehicles. This externally located server could be, for example, a backend server, a cloud service, or something similar. The multiple vehicles and the server are interconnected via a communication link, such as a wireless network connection.
[0022] For example, determining multiple vehicle occupant profiles involves identifying a subset of the initial vehicle usage data. In this case, the multiple vehicle occupant profiles are determined based on this subset of initial vehicle usage data. This makes it possible to identify the sensor and / or actuator data, or the interactions they represent, that are particularly suitable for determining the multiple vehicle occupant profiles. In other words, the aforementioned server can be provided with all initial vehicle usage data to identify or select a (relevant) subset and subsequently determine the vehicle occupant profiles, or a pre-selected (relevant) subset of the initial vehicle usage data can be provided to the server for subsequent determination of the vehicle occupant profiles.The interactions represented by the initial vehicle usage data can be provided to the server by the multiple vehicles.
[0023] According to an optional configuration of the first aspect, secondary vehicle usage data is provided. This secondary vehicle usage data is representative of an interaction between a second occupant of a second vehicle and that second vehicle. Depending on this secondary vehicle usage data and the multiple occupant profiles, the second occupant is assigned one of these profiles.
[0024] This makes it possible to automatically assign one of the vehicle occupant profiles to the second vehicle occupant based on the second vehicle usage data and the vehicle occupant profiles. Furthermore, this makes it possible to draw conclusions about the respective usage behavior of the second vehicle occupant based on their interaction.
[0025] The second vehicle can have the same characteristics as any of the above-mentioned multiple vehicles and / or be one of the above-mentioned multiple vehicles.
[0026] The second vehicle occupant may have the same characteristics as one of the aforementioned respective vehicle occupants and / or be one of the aforementioned multiple vehicle occupants.
[0027] The interaction of the second vehicle occupant with the second vehicle can include any of the interactions mentioned above.
[0028] The second set of vehicle usage data exhibits the same characteristics as the first set of vehicle usage data with regard to the second vehicle occupant. For example, the second set of vehicle usage data is representative of multiple interactions of the second vehicle occupant with the second vehicle.
[0029] For example, the second vehicle usage data is determined by the second vehicle.
[0030] For example, the assignment is based on a statistical model and / or a statistical method, such as a follow-up analysis and / or a cluster analysis. Additionally or alternatively, the assignment is based on a machine learning model, such as an artificial neural network or similar. In this case, the artificial neural network is pre-trained to assign one of the vehicle occupant profiles to the second vehicle occupant based on the second vehicle usage data and the vehicle occupant profiles.
[0031] For example, the artificial neural network can be pre-trained in this case by providing the second vehicle occupant with multiple training suggestion pieces of information. These multiple training suggestion pieces of information are provided or determined based on the various vehicle occupant profiles. Subsequently, the second vehicle occupant's respective reactions to the individual training suggestion pieces can be determined, for example, based on user input from the second vehicle occupant.
[0032] For example, weighting indicators are determined based on the second vehicle usage data and the multiple vehicle occupant profiles. Each weighting indicator represents the correlation between the usage behavior represented by the respective vehicle occupant profile and the usage behavior of the second vehicle occupant with respect to the second vehicle, which is represented by the second occupant's interaction with the second vehicle. For example, the second vehicle occupant is assigned a vehicle occupant profile with the highest weighting indicator. These weighting indicators can also be referred to as fulfillment levels.
[0033] According to a further optional configuration of the first aspect, an initial suggestion is determined based on the vehicle occupant profile assigned to the second vehicle occupant. This initial suggestion is representative of how a vehicle function can be executed to operate the second vehicle. The initial suggestion is then provided to the second vehicle occupant in the second vehicle. Depending on user input, the vehicle function for operating the second vehicle is executed.
[0034] This makes it possible to operate the second vehicle based on the occupant profile assigned to that occupant. Furthermore, it makes it possible to predict the future usage behavior of the second occupant based on their current usage profile.
[0035] The first suggestion information is representative of a predicted future usage behavior or a predicted future interaction of the second vehicle occupant with regard to the second vehicle.
[0036] Additionally, the initial suggestion information can be determined based on the initial vehicle usage data. This makes it possible to predict the future usage behavior or interaction of the second vehicle occupant with regard to the second vehicle, depending on the interactions of the multiple vehicle occupants.
[0037] For example, the first suggested information is provided to the second vehicle occupant depending on a digital voice assistant in the second vehicle and / or an output device in the second vehicle. The output device may include a display device in the second vehicle and / or a speaker in the second vehicle, or the like.
[0038] For example, user input in the second vehicle is captured by an input device in the second vehicle. This input device may include a touch-sensitive display (so-called "touch display") in the second vehicle, any control element in the second vehicle, the second vehicle's digital voice assistant, or similar devices.
[0039] The digital voice assistant of the second vehicle is trained to interact with the second vehicle occupant depending on the output device and / or the input device of the second vehicle.
[0040] The vehicle function for operating the second vehicle can include any vehicle function of the second vehicle, such as a vehicle function for controlling a seat heater of the second vehicle and / or a vehicle function for controlling an air conditioning system of the second vehicle and / or a vehicle function for controlling a lighting device of the second vehicle and / or a vehicle function for controlling a heater of the second vehicle and / or a vehicle function for controlling an entertainment system of the second vehicle (so-called "infotainment system") and / or a vehicle function for controlling a chassis of the second vehicle and / or a vehicle function for setting the digital voice assistant or the like.
[0041] For example, the first proposal information is representative of several versions of each of several vehicle functions for operating the second vehicle.
[0042] According to a further optional implementation of the first aspect, the vehicle occupant profile assigned to the second vehicle occupant is made available to a third vehicle. Depending on the vehicle occupant profile assigned to the second vehicle occupant, a second suggestion is determined. This second suggestion is representative of the execution of a vehicle function for operating a third vehicle. The second suggestion is then made available to the second vehicle occupant in the third vehicle. Depending on user input, the vehicle function for operating the third vehicle is executed.
[0043] This makes it possible to provide the vehicle occupant profile assigned to the second vehicle occupant to one or more third vehicles, and to operate them accordingly.
[0044] The third vehicle can be any vehicle, such as a battery-electric vehicle, a combustion engine vehicle, a so-called hybrid vehicle, a partially or fully automated vehicle, or the like.
[0045] The vehicle occupant profile assigned to the second occupant can be made available to the third vehicle, provided that the second occupant has entered login data. This login data is representative of a personalized customer profile for the second occupant. For example, the login data might be made available based on user input from the second occupant, or similar criteria.
[0046] For example, depending on the availability of the registration data, the second vehicle occupant profile is provided to the second vehicle by the externally located server. The third vehicle and the server are, for example, linked to each other via a communication link. This communication link could be, for example, a wireless network connection.
[0047] The second suggestion information has the same properties as the first suggestion information.
[0048] For example, the second suggestion information is provided to the second vehicle occupant depending on a digital voice assistant in the third vehicle and / or an output device in the third vehicle. The output device of the third vehicle may include a display device and / or a speaker, or the like.
[0049] For example, user input in the third vehicle is captured by an input device in the third vehicle. This input device may include a touch-sensitive display (so-called "touch display") in the third vehicle, any control element in the third vehicle, the third vehicle's digital voice assistant, or the like.
[0050] The digital voice assistant of the third vehicle is trained to interact with the second vehicle occupant depending on the output device and / or the input device of the third vehicle.
[0051] The vehicle function for operating the third vehicle can include any vehicle function of the third vehicle and has the same properties as the vehicle function for operating the second vehicle.
[0052] For example, the user input can be representative of the registration data provided by the second vehicle occupant. In this case, the vehicle function for operating the third vehicle can be executed almost automatically.
[0053] For example, the second proposal information is representative of several versions of each of several vehicle functions for operating the third vehicle.
[0054] According to a further optional configuration of the first aspect, the multiple vehicle occupant profiles are adjusted depending on the second vehicle usage data.
[0055] For example, the first vehicle usage data is extended or enriched depending on the second vehicle usage data.
[0056] This makes it possible to automatically adjust multiple vehicle occupant profiles. Furthermore, it contributes to a precise assignment of vehicle occupant profiles to other vehicle occupants. Additionally, it contributes to a precise determination of the first and / or second suggestion information.
[0057] According to a further optional implementation of the first aspect, the multiple vehicle occupant profiles are determined based on a subsequent analysis. Additionally or alternatively, the multiple vehicle occupant profiles are determined based on a cluster analysis. Additionally or alternatively, the multiple vehicle occupant profiles are determined based on an artificial neural network.
[0058] This makes it possible to efficiently and precisely determine the multiple vehicle occupant profiles.
[0059] For example, the determination of multiple vehicle occupant profiles is carried out using a statistical model and / or a statistical method, such as a follow-up analysis and / or a cluster analysis. Additionally or alternatively, the determination of multiple vehicle occupant profiles is carried out using a machine learning model, such as an artificial neural network or similar. In this case, the artificial neural network is pre-trained to determine the multiple vehicle occupant profiles based on the initial vehicle usage data.
[0060] According to a further optional interpretation of the first aspect, the multiple vehicles are part of a vehicle fleet.
[0061] This makes it possible to precisely determine the initial vehicle usage data.
[0062] The second vehicle and / or the third vehicle may be part of the vehicle fleet.
[0063] Alternatively, a first subset of the multiple vehicles can be part of a first vehicle fleet, and a second subset of the multiple vehicles can be part of a second vehicle fleet. For example, the first vehicle fleet comprises vehicles from a first vehicle manufacturer, and the second vehicle fleet comprises vehicles from a second vehicle manufacturer.
[0064] For example, the multiple vehicle occupant profiles are designed in such a way that they can be processed by vehicles from different vehicle manufacturers.
[0065] For example, the second vehicle is part of the first vehicle fleet and the third vehicle is part of the second vehicle fleet.
[0066] This makes it possible to execute the vehicle function for operating the respective vehicle in the same way in vehicles of different vehicle manufacturers and / or different vehicle fleets, depending on the vehicle occupant profile assigned to the second vehicle occupant.
[0067] For example, the second vehicle and / or the third vehicle could be a taxi or a rental car or part of a so-called "car sharing" arrangement.
[0068] The procedure according to the first aspect and its optional elaborations can be extended accordingly for further second vehicle occupants of the second vehicle.
[0069] Furthermore, the procedure can be extended according to the first aspect and its optional configurations for several second vehicles and / or several third vehicles.
[0070] According to a second aspect, the invention is characterized by a device for determining multiple vehicle occupant profiles. The device is configured to perform the method for determining multiple vehicle occupant profiles according to the first aspect. The device according to the second aspect can be configured in a single unit and / or distributed across multiple units.
[0071] According to a third aspect, the invention is characterized by a computer program, wherein the computer program comprises instructions which, when the computer program is executed by a computer, cause the computer to carry out the method for determining multiple vehicle occupant profiles according to the first aspect.
[0072] According to a fourth aspect, the invention is characterized by a computer-readable storage medium on which the computer program according to the third aspect is stored.
[0073] Optional variations of the first aspect may also be present in the other aspects and have corresponding effects.
[0074] Exemplary embodiments of the invention are explained in more detail below with reference to the schematic drawings.
[0075] They show: Fig. 1. A flowchart of a first program for determining multiple vehicle occupant profiles, Fig. 2. A flowchart of a second program for determining multiple vehicle occupant profiles, and Fig. 3 a flowchart of a third program for determining multiple vehicle occupant profiles.
[0076] Elements of the same construction or function are marked with the same reference symbols across all figures.
[0077] The Fig. Figure 1 shows a flowchart of an initial program for determining multiple vehicle occupant profiles.
[0078] The first program can be executed, in particular, by a first device. For this purpose, the first device includes, in particular, a first processing unit, a first program and first data memory, and, for example, one or more first communication interfaces. The first program and first data memory and / or the first processing unit and / or the first communication interfaces can be implemented in a single unit and / or distributed across multiple units. The first device can also be referred to as a device for determining multiple vehicle occupant profiles.
[0079] The first program is stored in particular on the first program and first data memory of the first device.
[0080] The first program is started in step S101, in which variables can be initialized if necessary.
[0081] In step S103, initial vehicle usage data from multiple vehicles is provided. This initial vehicle usage data is representative of the interactions of multiple vehicle occupants from multiple vehicles with their respective vehicles.
[0082] For example, the first device is located on a server that is external to the multiple vehicles. This externally located server could be, for example, a backend server, a cloud service, or something similar. The multiple vehicles and the server are interconnected via a communication link, such as a wireless network connection.
[0083] For example, the multiple vehicle occupants include a first vehicle occupant of a first vehicle. The multiple vehicles include the first vehicle.
[0084] For example, the initial vehicle usage data is determined based on a mobile device belonging to the first vehicle occupant, which can be linked to the vehicle via signal transmission. For instance, a specific model of the first vehicle occupant's mobile device can be taken into account.
[0085] For example, the initial vehicle usage data is determined based on the equipment configuration of the first vehicle. Such an equipment configuration might include, for example, a sports equipment configuration or similar.
[0086] For example, the initial vehicle usage data includes data that is representative of the interactions of the first vehicle occupant with the first vehicle in an initial period.
[0087] Optionally, in step S103, the multiple vehicles are part of a vehicle fleet.
[0088] In step S105, several vehicle occupant profiles are determined based on the initial vehicle usage data. Each vehicle occupant profile is representative of a specific usage behavior of a vehicle occupant with respect to any given vehicle.
[0089] For example, the multiple vehicle occupant profiles include a first vehicle occupant profile, a second vehicle occupant profile, a third vehicle occupant profile, a fourth vehicle occupant profile, and a fifth vehicle occupant profile.
[0090] For example, the first vehicle occupant profile is representative of a male vehicle occupant who is 25 years old and has an affinity for technological innovation.
[0091] For example, the second vehicle occupant profile is representative of a female vehicle occupant who is 65 years old and has no affinity for technical innovation.
[0092] Optionally, in step S105, the multiple vehicle occupant profiles are determined based on a subsequent analysis. Additionally or alternatively, the multiple vehicle occupant profiles are determined based on a cluster analysis. Additionally or alternatively, the multiple vehicle occupant profiles are determined based on an artificial neural network.
[0093] In step S107, secondary vehicle usage data is provided. This secondary vehicle usage data is representative of an interaction between a second vehicle occupant and the second vehicle.
[0094] For example, the second vehicle and the server are linked via a communication connection. For instance, the second vehicle has a communication interface designed to provide the second vehicle usage data to the server.
[0095] For example, the second vehicle usage data is representative of multiple interactions of a second vehicle occupant with the second vehicle.
[0096] For example, the second vehicle usage data is representative of a signal-technical coupling between a mobile device of the second vehicle occupant and the second vehicle, where the mobile device of the second vehicle occupant is, for instance, a current model and exhibits a high degree of technological innovation. This makes it possible to draw conclusions about the second vehicle occupant's affinity for technological innovation, in comparison to when the mobile device of the second vehicle occupant is, for example, an outdated model.
[0097] For example, the second vehicle usage data is representative of the fact that the second vehicle has the sports equipment configuration.
[0098] For example, the second vehicle usage data is representative of the fact that the second vehicle occupant has a sporty driving style, whereby the sporty driving style is representative of the fact that the second vehicle occupant prefers, for example, high speeds and / or strong acceleration when operating the second vehicle.
[0099] In step S109, depending on the second vehicle usage data and the multiple vehicle occupant profiles, one of the multiple vehicle occupant profiles is assigned to the second vehicle occupant.
[0100] For example, weighting parameters are determined based on the second set of vehicle usage data and the multiple vehicle occupant profiles. For instance, each weighting parameter can be expressed as a percentage, with the sum of all weighting parameters not exceeding 100.
[0101] For example, the following weighting parameters are determined: a weighting parameter for the first vehicle occupant profile is 83 percent, a weighting parameter for the third vehicle occupant profile is 15 percent, and a weighting parameter for the fifth vehicle occupant profile is 2 percent. The second vehicle occupant is assigned the first vehicle occupant profile, which has the highest weighting parameter.
[0102] In an optional step S111, the multiple vehicle occupant profiles are adjusted depending on the second vehicle usage data.
[0103] For example, during active operation of the second vehicle, the various vehicle occupant characteristics and / or the initial vehicle usage data are adjusted based on the second vehicle usage data. This can, for instance, influence the determination of suggestion information during active operation of the second vehicle and contribute to a more precise determination of the suggestion information.
[0104] Alternatively, the optional step S111 can also be performed before step S109.
[0105] Following step S111, the first program is terminated in step S113 and can be restarted in step S101 or step S107 if necessary.
[0106] The Fig. Figure 2 shows a flowchart of a second program for determining multiple vehicle occupant profiles.
[0107] The second program can be executed by a second device. For this purpose, the second device includes, in particular, a second processing unit, a second program and data memory, and, for example, one or more second communication interfaces. The second program and data memory and / or the second processing unit and / or the second communication interfaces can be integrated into a single unit and / or distributed across multiple units. The second device can also be described as a device for determining multiple vehicle occupant profiles.
[0108] For example, the second device is located in the second vehicle.
[0109] The second program is stored in particular on the second program and second data memory of the second device.
[0110] The second program is started in step S201, in which variables can be initialized if necessary.
[0111] In an optional step S203, the vehicle occupant profile assigned to the second vehicle occupant is made available to the second vehicle.
[0112] For example, the second vehicle and the server are linked via a communication connection using signal technology.
[0113] For example, the second vehicle has a communication interface that is designed to receive the vehicle occupant profile assigned to the second vehicle occupant from the server.
[0114] In step S205, an initial suggestion is determined based on the vehicle occupant profile assigned to the second vehicle occupant. This initial suggestion is representative of one way to execute a vehicle function for operating the second vehicle.
[0115] For example, the initial suggestion information is determined based on the initial vehicle usage data. Specifically, this is done based on data representative of the first vehicle occupant's interactions with the first vehicle during a given period. This makes it possible to predict the future usage behavior or interaction of the second vehicle occupant with the second vehicle, based on the interactions of the first occupant. For example, the suggestion information is determined in a second period, with the first period preceding the second.
[0116] The first period is, for example, particularly representative of a one-month period beginning with the first interaction of the first vehicle occupant with the first vehicle. The second period is positioned four months after the first period. The second period is representative of a one-month period beginning with the first interaction of the second vehicle occupant with the second vehicle.
[0117] For example, this makes it possible to suggest to the second vehicle occupant the execution of a vehicle function that was performed by the first vehicle occupant in a similar situation or during a similar period of time.
[0118] For example, the first suggestion information is representative of the execution of a vehicle function for setting a digital voice assistant in the second vehicle. The voice assistant setting includes, in particular, a dialogue duration that is representative of the duration of a verbal interaction between the digital voice assistant and the second vehicle occupant, and / or a dialogue type that is representative of the manner of verbal interaction between the digital voice assistant and the second vehicle occupant.
[0119] This makes it possible to adjust the dialogue duration and / or type to be longer and more detailed for a vehicle occupant with a high affinity for technological innovation. Conversely, it is possible to adjust the dialogue duration and / or type to be shorter and less detailed for a vehicle occupant with a lower affinity for technological innovation.
[0120] For example, initial suggestion information is determined based on the assignment of the first vehicle occupant profile in such a way that the initial suggestion information is representative for the setting of the dialogue duration and the dialogue type, such that the linguistic interaction should be longer and more detailed.
[0121] In step S207, the first proposal information is provided to the second vehicle occupant in the second vehicle.
[0122] For example, the first suggestion information is provided to the second vehicle occupant depending on an output device of the second vehicle.
[0123] In step S209, depending on user input, the vehicle function for operating the second vehicle is executed.
[0124] For example, the user input is representative of the second vehicle occupant's agreement with the first suggested information, and the digital voice assistant is set accordingly.
[0125] This makes it possible to increase and personalize user satisfaction for vehicle occupants.
[0126] Following step S209, the first program is terminated in step S211 and can be restarted in step S205 if necessary.
[0127] The Fig.Figure 3 shows a flowchart of a third program for determining multiple vehicle occupant profiles.
[0128] The third program can be executed by a third device. For this purpose, the third device includes, in particular, a third processing unit, a third program memory, a third data memory, and, for example, one or more third communication interfaces. The third program memory, the third data memory, the third processing unit, and / or the third communication interfaces can be integrated into a single unit and / or distributed across multiple units.
[0129] The third device can also be described as a device for determining multiple vehicle occupant profiles.
[0130] For example, the third device is located in a third vehicle.
[0131] The third program is stored in particular on the third program and data memory of the third device.
[0132] The third program is started in step S301, in which variables may be initialized if necessary.
[0133] In step S303, the vehicle occupant profile assigned to the second vehicle occupant is made available to the third vehicle.
[0134] For example, the third vehicle and the server are linked via a communication connection using signal technology.
[0135] For example, the third vehicle has a communication interface that is designed to receive the vehicle occupant profile assigned to the second vehicle occupant from the server.
[0136] In step S305, a second suggestion is determined based on the vehicle occupant profile assigned to the second vehicle occupant. This second suggestion is representative of how a vehicle function can be executed to operate the third vehicle.
[0137] In step S307, the second suggestion information is provided to the second vehicle occupant in the third vehicle.
[0138] In step S309, depending on user input, the vehicle function for operating the third vehicle is executed.
[0139] Following step S309, the first program is terminated in step S311 and can be restarted in step S305 if necessary.
Claims
[1] Method for determining multiple vehicle occupant profiles, wherein - initial vehicle usage data will be provided (S103) that are representative of interactions between multiple vehicle occupants of multiple vehicles and the respective vehicles, and - depending on the initial vehicle usage data, several vehicle occupant profiles are determined (105), where each vehicle occupant profile is representative of a vehicle occupant's usage behavior with respect to any given vehicle. [2] The method of claim 1, wherein - second vehicle usage data are provided (S107) that are representative of an interaction of a second vehicle occupant of a second vehicle with the second vehicle, - depending on the second vehicle usage data and the multiple vehicle occupant profiles, the second vehicle occupant is assigned one of the multiple vehicle occupant profiles (S109). [3] The method of claim 2, wherein - depending on the vehicle occupant profile assigned to the second vehicle occupant, an initial suggestion information is determined (S205) which is representative for the execution of a vehicle function for operating the second vehicle, - the first proposal information is provided to the second vehicle occupant in the second vehicle (S207), - depending on user input, the vehicle function for operating the second vehicle is executed (S209). [4] The method of claim 3, wherein - the vehicle occupant profile assigned to the second vehicle occupant is made available to a third vehicle (S203), - depending on the vehicle occupant profile assigned to the second vehicle occupant, a second suggestion information is determined which is representative for the execution of a vehicle function for operating a third vehicle (S205), - the second proposal information is provided to the second vehicle occupant in the third vehicle (S207), - depending on user input, the vehicle function for operating the third vehicle is executed (S209). [5] Method according to one of claims 2 or 3, wherein the multiple vehicle occupant profiles are adapted depending on the second vehicle usage data (5111). [6] Method according to one of the preceding claims, wherein the multiple vehicle occupant profiles are determined depending on a follow-up analysis and / or a cluster analysis and / or an artificial neural network (S105). [7] Method according to any of the preceding claims, wherein the multiple vehicles are part of a vehicle fleet. [8] Device for determining multiple vehicle occupant profiles, which is designed to carry out the method according to any one of claims 1 to 7. [9] Computer program, wherein the computer program comprises instructions which, when the program is executed by a computer, cause the computer to perform the method according to any one of claims 1 to 7. [10] Computer-readable storage medium on which the computer program according to claim 9 is stored.