A method and unit (101; fig. 1) comprises: receiving (301) user data and information (e.g. name, age, gender, calendar appointments, shopping history or advertisements) from one or more sources (111; fig. 1) (e.g. external applications of OEM vendors such as Google®, Facebook® or Amazon® and/or a user’s smartphone); segmenting (303) the user data (e.g. via linear or logistic regression) based on user preferences (e.g. user likes and dislikes in browser or application history); creating (305) a user profile by categorising the segmented user data (into e.g. shopping, fashion, essential items, food, travel); receiving (307) a location of the vehicle in which the occupant is traveling, from the vehicle; selecting (309) (e.g. using machine learning and score assigning) one or more user-specific information based on the user profile and the location information of the vehicle; and providing (311) (e.g. displaying via a holographic display or interface) the one or more user-specific information as personalised information to the occupant of the vehicle. User-specific information may include adverts, shopping suggestions, vehicle health information, weather and/or calendar appointments. As the vehicle moves location, the displayed user-specific information may be updated based on the user profile and new location.
A method for providing personalized information for vehicle occupants and a personalized information unit thereof
2023-01-11
Patent
Electronic Resource
English
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