Predicting an interface control action of a user with an in-vehicle user interface
First Claim
1. A method for predicting an interface control action of a user with an in-vehicle user interface, the method comprising:
- collecting and storing data, wherein the data includes at leastvehicle data about the vehicle and the vehicle'"'"'s environment collected from at least one sensor of the vehicle, anduser data about user interactions with the user interface and/or different applications inside the vehicle;
assigning likelihoods to at least two possible interface control actions by the user based on the collected and stored data;
determining at least one most likely interface control action from the likelihoods; and
providing the user with the at least one most likely interface control action in a manner so that the at least one most likely interface control action is selectable and performable with one single user interaction with the user interface,wherein a classifier calculates likelihoods for the at least two possible interface control actions based on the collected and stored data and these calculated likelihoods are then assigned to the at least two possible interface control actions,wherein the classifier is an ensemble classifier with several individual classifiers, where each individual classifier is built on a data chunk of the collected and stored data,wherein each data chunk contains all data for a time interval specific for each data chunk and a time interval assigned to at least two data chunks overlap with each other, andwherein the overlap and a data chunk width controls when new data chunks are created.
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Accused Products
Abstract
A method for predicting an interface control action of a user with an in-vehicle user interface involves collecting and storing data. The data can be vehicle data about the vehicle and its environment collected from at least one sensor of the vehicle and user data about user interactions with the user interface and/or different applications inside the vehicle. Likelihoods are assigned to at least two possible interface control actions by the user based on the collected and stored data. At least one most likely interface control action is determined from the likelihoods and the user is presented with the at least one most likely interface control action so that it is selectable and performable with one single user interaction with the user interface.
14 Citations
14 Claims
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1. A method for predicting an interface control action of a user with an in-vehicle user interface, the method comprising:
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collecting and storing data, wherein the data includes at least vehicle data about the vehicle and the vehicle'"'"'s environment collected from at least one sensor of the vehicle, and user data about user interactions with the user interface and/or different applications inside the vehicle; assigning likelihoods to at least two possible interface control actions by the user based on the collected and stored data; determining at least one most likely interface control action from the likelihoods; and providing the user with the at least one most likely interface control action in a manner so that the at least one most likely interface control action is selectable and performable with one single user interaction with the user interface, wherein a classifier calculates likelihoods for the at least two possible interface control actions based on the collected and stored data and these calculated likelihoods are then assigned to the at least two possible interface control actions, wherein the classifier is an ensemble classifier with several individual classifiers, where each individual classifier is built on a data chunk of the collected and stored data, wherein each data chunk contains all data for a time interval specific for each data chunk and a time interval assigned to at least two data chunks overlap with each other, and wherein the overlap and a data chunk width controls when new data chunks are created. - View Dependent Claims (2, 3, 4, 5, 6, 7, 9, 10)
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8. An in-vehicle user interface, comprising:
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a memory configured to collect and store data, wherein the data includes at least vehicle data about the vehicle and the vehicle'"'"'s environment collected from at least one sensor of the vehicle, and user data about user interactions with the user interface and/or different applications inside the vehicle; a processor coupled to the memory and configured to assign likelihoods to at least two possible interface control actions based on the collected and stored data, and determine at least one most likely interface control action from the likelihoods; and a display unit configured to provide the user with a set of the at least one most likely interface control action so that it is selectable and performable with one single user interaction with the user interface, wherein a classifier calculates likelihoods for the at least two possible interface control actions based on the collected and stored data and these calculated likelihoods are then assigned to the at least two possible interface control actions, wherein the classifier is an ensemble classifier with several individual classifiers, where each individual classifier is built on a data chunk of the collected and stored data, wherein each data chunk contains all data for a time interval specific for each data chunk and a time interval assigned to at least two data chunks overlap with each other, and wherein the overlap and a data chunk width controls when new data chunks are created. - View Dependent Claims (12, 13, 14)
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11. A method for predicting an interface control action of a user with an in-vehicle user interface, the method comprising:
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collecting and storing data, wherein the data includes at least vehicle data about the vehicle and the vehicle'"'"'s environment collected from at least one sensor of the vehicle, and user data about user interactions with the user interface and/or different applications inside the vehicle; assigning likelihoods to at least two possible interface control actions by the user based on the collected and stored data; determining at least one most likely interface control action from the likelihoods; and providing the user with the at least one most likely interface control action in a manner so that the at least one most likely interface control action is selectable and performable with one single user interaction with the user interface, wherein a classifier calculates likelihoods for the at least two possible interface control actions based on the collected and stored data and these calculated likelihoods are then assigned to the at least two possible interface control actions, wherein the classifier is an ensemble classifier with several individual classifiers, where each individual classifier is built on a data chunk of the collected and stored data, wherein each data chunk contains all data for a time interval specific for each data chunk and a time interval assigned to at least two data chunks overlap with each other, wherein the overlap and a data chunk width controls when new data chunks are created, and wherein the overlap is based on overlap percentage, which is a percentage of data samples existing in multiple data chunks, and stack depth, which is a maximum number of data chunks a single data sample can he present within.
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Specification