GB2624901A

GB2624901A - A method for providing personalized information for vehicle occupants and a personalized information unit thereof

Info

Publication number: GB2624901A
Application number: GB2217967.5A
Authority: GB
Inventors: Krishnamurthy Hebbar Pratham
Original assignee: Continental Automotive Technologies GmbH
Current assignee: Continental Automotive Technologies GmbH
Priority date: 2022-11-30
Filing date: 2022-11-30
Publication date: 2024-06-05
Also published as: GB202217967D0

Abstract

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.

Description

Intellectual Property Office Application No GI32217967.5 RTM Date:26 May 2023 The following terms are registered trade marks and should be read as such wherever they occur in this document: "Wi Fr" on pg. 6, line 23 "Bluetooth" on pg. 6, line 23 Intellectual Property Office is an operating name of the Patent Office www.gov.uk/ipo

A METHOD FOR PROVIDING PERSONALIZED INFORMATION FOR VEHICLE OCCUPANTS AND A PERSONALIZED INFORMATION UNIT THEREOF

TECHNICAL FIELD

S

The present subject matter is generally related to the field of information systems, more particularly, but not exclusively, to a method and a personalized information unit for providing personalized information for an occupant of a vehicle.

BACKGROUND

With rapid advancement in the digital technology, data (also, referred as information) dissemination has also increased exponentially. Not all the data disseminated may be useful for users for utilization. For efficient utilization of limited time and/or useful information, regulation of information for user utilization becomes essential. Further, information overload for user and/or driver of a vehicle during traveling could be dangerous and can lead to safety issues.

The information disclosed in this background of the disclosure section is for 20 enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.

SUMMARY

In an embodiment, the present disclosure relates to a method for providing personalized information for an occupant of a vehicle. The method comprising receiving user data and information from one or more sources and segmenting the user data based on user preferences using a data segmentation technique.

Thereafter, the method comprises creating a user profile by categorizing the segmented user data into one or more categories and receiving a location information of the vehicle, in which the occupant is traveling, from the vehicle. Subsequently, the method comprises selecting one or more user-specific information from the information based on the user profile and the location information of the vehicle. Lastly, the method comprises providing the one or more user-specific information as personalized information to the occupant of the vehicle.

In another embodiment, the present disclosure relates to a personalized information unit for providing personalized information for an occupant of a vehicle. The personalized information unit comprising a processor and a memory communicatively coupled to the processor, wherein the memory stores processor executable instructions, which on execution, cause the processor to receive user data and information from one or more sources and segment the user data based on user preferences using a data segmentation technique. Thereafter, the processor is configured to create a user profile by categorizing the segmented user data into one or more categories and receive a location information of the vehicle, in which the occupant is traveling, from the vehicle. In the subsequent step, the processor is configured to select one or more user-specific information from the information based on the user profile and the location information of the vehicle. Lastly, the processor is configured to provide the one or more user-specific information as personalized information to the occupant of the vehicle.

Embodiments of the disclosure according to the above-mentioned method, and the personalized information unit bring about several advantages. These advantages are presented below.

The method of the present disclosure allows reminding occupant of the vehicle with personalized information such calendar reminders so that the occupant does not miss his/her appointments.

The method of the present disclosure allows providing occupant of the vehicle with information that is adaptive based on the location of the vehicle such as weather condition, traffic, alternative route in case of traffic, vehicle health information, and the like The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate exemplary embodiments and together with the description, serve to explain the disclosed principles. In the figures, the left most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the figures to reference like features and components. Some embodiments of system and/or methods in accordance with embodiments of the present subject matter are now described below, by way of example only, and with reference to the accompanying figures.

Figure 1 illustrates an exemplary environment for providing personalized information for an occupant of a vehicle in accordance with some embodiments of the present disclosure.

Figure 2 shows a detailed block diagram of a personalized information unit in accordance with some embodiments of the present disclosure.

Figure 3 illustrates a flowchart showing a method for providing personalized 25 information for an occupant of a vehicle in accordance with some embodiments of present disclosure.

It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present subject matter. Similarly, it will be appreciated that any flowcharts, flow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and executed by a computer or processor, whether or not such computer or processor is explicitly shown.

DETAILED DESCRIPTION

In the present document, the word "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any embodiment or implementation of the present subject matter described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within

the scope of the disclosure.

The terms comprises", "comprising", or any other variations thereof, are intended to cover a non exclusive inclusion, such that a setup, device or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus proceeded by "comprises.., a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or method.

The term "data segmentation technique" may include customer profiling, predictive modelling, customer state vector, real-time decisioning and the like. The term "information" may include data relating to facts, a notice or announcement. Henceforth, the term "personalised information" shall refer to facts, notice or announcement catered to for example, customer profiling, predictive modelling, customer state vector, or real-time decisioning In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

Embodiment of the present disclosure discloses a solution for providing personalized information for an occupant of a vehicle. The present disclosure presents a method and a personalized information unit. In an embodiment, the personalized information unit is part of a vehicle. The personalized information unit receives user data and information from one or more sources. The one or more sources comprises at least one of a dedicated application from Original Equipment Manufacturers (OEMs), database hosted by external vendors (also, referred as third-party vendors such as Google®, Facebook®, Amazon®, and the like.) and user devices. An example of a user device may be a mobile communication device such as a smartphone. Thereafter, the personalized information unit segments the user data based on user preferences using a data segmentation technique and creates a user profile by categorizing the segmented user data into one or more categories. The data segmentation technique is a linear regression technique or a logistic regression technique. The user preferences comprise user likes and user dislikes.

The personalized information unit receives a location information of a vehicle, in which the occupant is traveling, from the vehicle. Based on the user profile and the location information of the vehicle, the personalized information unit selects one or more user-specific information from the information and provides the one or more user-specific information as personalized information to the occupant of the vehicle.

This approach allows reminding occupant of the vehicle with personalized information such as calendar reminders so that the occupant does not miss his/her appointments. Further, this approach allows providing occupant of the vehicle with information that is adaptive based on the location of the vehicle such as weather report, alternative route in case of traffic and the like.

As shown in the Figure 1, the environment 100 includes a personalized information unit 101, a communication network 109, and one or more sources 111. The one or more sources 111 comprises at least one of a dedicated application from Original Equipment Manufacturers (OEMs), database hosted by external vendors and user devices. In the present disclosure, a user device refers to, but not limiting to, a personal computer, a mobile terminal, a laptop, a tablet computer, and the like.

In an embodiment, the personalized information unit is part of a vehicle. In the present disclosure, the vehicle can be any type of motor vehicle, not limiting to, such as a car, a truck, a bus and the like. The personalized information unit 101 communicates with the one or more sources 111 using the communication network 109 The communication network 109 can include, but is not limited to, an e-commerce network, a Peer to Peer (P2P) network. Local Area Network (LAN), Wide Area Network (WAN), wireless network (for example, using Wireless Application Protocol), Internet, WI Fi, Bluetooth, Code Division Multiple Access (CDMA), High Speed Packet Access (HSPA+), Global System for Mobile communications (GSM's), Long Term Evolution (LTEs), Worldwide interoperability for Microwave access (WiMaxs), Dedicated Short-Range Communications (DSRC), Cellular Vehicle to Everything (CV2X), or the like The personalized information unit 101 includes an Input/Output (I/O) interface 103, a memory 105, and a processor 107. The I/O interface 103 is configured to communicate with the one or more sources 111. The I/O interface 103 can include communication protocols/methods such as, without limitation, audio, analog, digital, monaural, Radio Corporation of America (RCA) connector, stereo, IEEE® 1394 high speed serial bus, serial bus, Universal Serial Bus (USB), infrared, Personal System/2 (PS/2) port, Bayonet Neill Concelman (BNC) connector, coaxial, component, composite, Digital Visual Interface (DVI), High Definition Multimedia Interface (HDMI®), Radio Frequency (RF) antennas, S Video, Video Graphics Array (VGA), IEEE® 802.11b/g/n/x, Bluetooth, cellular e.g., Code Division Multiple Access (CDMA), High Speed Packet Access (HSPA+), Global System for Mobile communications (GSM®), Long Term Evolution (LTE®), Worldwide interoperability for Microwave access (WiMax®), Dedicated Short-Range Communications (DSRC), Cellular Vehicle to Everything (C-V2X), or the like.

The memory 105 is communicatively coupled to the processor 107 of the personalized information unit 101. The memory 105, also, stores processor instructions which cause the processor 107 to execute the instructions for providing personalized information for an occupant of a vehicle.

The processor 107 includes at least one data processor for providing personalized information for an occupant of a vehicle.

Hereafter, the operation of the personalized information unit 101 for providing personalized information for an occupant of a vehicle is described.

Prior to start of providing personalized information for an occupant of a vehicle, user data and information related to the occupant of the vehicle is present in one or more sources 111. In the present disclosure, the occupant of the vehicle is also referred as a user. The user data includes user information comprising name, age, gender, and the like and user preferences comprising likes and dislikes based on (browser) search history/results and the like. The information includes at least one of tasks to be completed/attained by a user (also, referred as appointments in calendar), shopping information (or shopping history) of the user and advertisements. The one or more sources 111 comprises at least one of a dedicated application from OEMs, database hosted by external vendors, and user devices. The one or more sources 111 comprises at least one of a dedicated application from OEMs, database hosted by external vendors, and user devices.

Consider a situation where the occupant takes a seat in the vehicle, or the occupant is travelling in the vehicle. In that case, the personalized information unit 101 receives user data and information from one or more sources 111. In an embodiment, as soon as the occupant sits in the vehicle, the user device of the occupant is paired with a nearest a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle. In a situation, if the occupant does not have a user device with him/her, then the personalized information unit 101 provides an option to login to their profile on a particular human machine interface. If the occupant is in his/her personal vehicle, then logging in to their profile is predefined based on usual seating arrangement. Thereafter, the personalized information unit 101 segments the user data based on user preferences using a data segmentation technique. The user preferences comprise user likes and user dislikes. The data segmentation technique is, but not limiting to, a linear regression technique or a logistic regression technique. The personalized information unit 101 creates a user profile by categorizing the segmented user data into one or more categories. The one or more categories comprises of shopping, fashion, essentials items, food, travel, and the like. In the next operation, the personalized information unit 101 receives a location information of the vehicle, in which the occupant is traveling, from the vehicle. Based on the user profile and the location information of the vehicle, the personalized information unit 101 selects one or more user-specific information from the information. The personalized information unit 101 uses a machine learning technique to select one or more user-specific information from the information. In detail, the personalized information unit 101 matches user profile with the location information of the vehicle using the machine learning technique. The machine learning technique of the personalized information unit 101 assigns a score between 0 and 1 based on the match of two or more of the information, the location information of the vehicle, and the one or more categories of the user profile. Based on the relevance of the score i.e., score nearest to 1, the personalized information unit 101 selects one or more user-specific information from the information. Lastly, the personalized information unit 101 provides the one or more user-specific information as personalized information to the occupant of the vehicle. In an embodiment, the personalized information unit 101 displays the one or more user-specific information for the occupant of the vehicle via the holographic display or the human machine interface present in proximity of seating position of the occupant in the vehicle. As vehicle moves from one location to another, the personalized information unit 101 updates the one or more user-specific information based on the user profile and a new location information of the vehicle and displays the updated one or more user-specific information for the occupant of the vehicle via the holographic display or the human machine interface in proximity of seating position of the occupant in the vehicle.

In an embodiment, the personalized information unit 101 is present in a cloud-based platform or a remote server. In this situation, the location information of the vehicle is transmitted from the vehicle to the cloud-based platform or the remote server in real-time or at a pre-defined interval of time using the communication network 109.

In another embodiment, the personalized information unit 101 is part of the vehicle.

The personalized information unit 101, in addition to the I/O interface 103 and the processor 107 described above, includes data 201 and one or more modules 211, which are described herein in detail. In the embodiment, the data 201 is stored within the memory 105. The data 201 includes, for example, user data 203, information 205, location data 207, and other data 209.

The user data 203 includes user data, which includes user information comprising name, age, gender, and the like and user preferences comprising likes and dislikes based on (browser) search history/results and the like.

The information 205 includes at least one of tasks to be completed/attained by a user (also, referred as appointments in calendar), shopping information (or shopping history) of the user and user-specific advertisements.

The location data 207 includes a location information of a vehicle in which an occupant is traveling. The term "occupant" is interchangeably used with the term "user" in the present disclosure.

The other data 209 may store data, including temporary data and temporary files, generated by one or more modules 211 for performing the various functions of the personalized information unit 101.

In the embodiment, the data 201 in the memory 105 is processed by the one or more modules 211 present within the memory 105 of the personalized information unit 101. In the embodiment, the one or more modules 211 may be implemented as dedicated hardware units. As used herein, the term module refers to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a Field Programmable Gate Arrays (FPGA), Programmable System on Chip (PSoC), a combinational logic circuit, and/or other suitable components that provide the described functionality. In some implementations, the one or more modules 211 are communicatively coupled to the processor 107 for performing one or more functions of the personalized information unit 101. The one or more modules 211 when configured with the functionality defined in the present disclosure will result in a novel hardware.

In one implementation, the one or more modules 211 include, but are not limited to, a transceiver module 213, a segmenting module 215, a creating module 217, a selecting module 219, and a providing module 221. The one or more modules 211, also, include other modules 223 to perform various miscellaneous functionalities of the personalized information unit 101.

The transceiver module 213 acts as a transmitting module and a receiving module. The transceiver module 213 transmits and receives through the I/O interface 103.

The transceiver module 213 receives user data and information from one or more sources. The user data includes user information comprising name, age, gender, and the like and user preferences comprising likes and dislikes based on (browser) search history/results. The information includes at least one of tasks to be completed/attained by a user, shopping history of the user and advertisements. The one or more sources comprises at least one of a dedicated application from OEMs, database hosted by external vendors and user devices. The transceiver module 213 receives a location information of a vehicle, in which an occupant (also, referred as user) is traveling, from the vehicle.

The segmenting module 215 receives the user data from the transceiver module 213 and thereafter, segments the user data based on user preferences using a data segmentation technique. The user preferences comprise user likes and user dislikes.

The data segmentation technique is a linear regression technique or a logistic regression technique.

The creating module 217 receives the segmented user data from the segmenting module 215 and creates a user profile by categorizing the segmented user data into 15 one or more categories. The one or more categories comprises of shopping, fashion, essentials items, food, travel, and the like.

The selecting module 219 selects one or more user-specific information from the information based on the user profile and the location information of the vehicle. In an embodiment, the selecting module 219 uses a machine learning technique for selecting the one or more user-specific information from the information based on the user profile and the location information of the vehicle. The machine learning technique is one of regression analysis or supervised learning.

The providing module 221 receives the selected one or more user-specific information from the selecting module 219 and provides the (selected) one or more user-specific information as personalized information to the occupant of the vehicle. In detail, the providing module 221 displays the one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle. In an embodiment, the holographic display is arranged at a center of occupants sitting area inside the vehicle such that the occupants are seated around the holographic display. In another embodiment, each occupant (or user) has dedicated display for displaying personalized information. The user-specific information comprises contents comprises at least one of advertisements, shopping suggestions, vehicle health information, weather, and calendar appointments based on the user profile and the location information of the vehicle.

Figure 3 illustrates a flowchart showing a method for providing personalized information for an occupant of a vehicle in accordance with some embodiments of present disclosure.

As illustrated in Figure 3, the method 300 include one or more blocks for providing personalized information for an occupant of a vehicle. The method 300 may be described in the general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types.

The order in which the method 300 is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, software, firmware, or combination thereof.

At block 301, the transceiver module 213 of the personalized information unit 101 25 receives user data and information from one or more sources 111. The one or more sources comprises at least one of a dedicated application from OEMs, database hosted by external vendors and user devices.

At block 303, the segmenting module 215 of the personalized information unit 101 segments the user data based on user preferences using a data segmentation technique. The data segmentation technique is a linear regression technique or a logistic regression technique. The user preferences comprise user likes and user dislikes.

At block 305, the creating module 217 of the personalized information unit 101 creates a user profile by categorizing the segmented user data into one or more categories.

At block 307, the transceiver module 213 of the personalized information unit 101 receives a location information of the vehicle, in which the occupant is traveling, from the vehicle.

At block 309, the selecting module 219 of the personalized information unit 101 selects one or more user-specific information from the information based on the user profile and the location information of the vehicle. The selecting the one or more user-specific information from the information based on the user profile and the location information of the vehicle is performed using a machine learning technique.

At block 311, the providing module 221 of the personalized information unit 101 provides the one or more user-specific information as personalized information to the occupant of the vehicle. The providing the one or more user-specific information as personalized information for the occupant of the vehicle comprises displaying the one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle.

Some of the advantages of the present disclosure are listed below.

A main advantage of this disclosure is displaying of information, in particular, push marketing content to motor vehicles on the move, based upon a combination of user's preference or user's profile and a location of the motor vehicle, such that information or content displayed to vehicle occupant is constantly updated based on location of motor vehicle.

The method of the present disclosure allows reminding occupant of the vehicle, personalized information such as calendar reminders so that the occupant does not miss his/her appointments.

The method of the present disclosure allows providing occupant of the vehicle with information that is adaptive based on the location of the vehicle such as weather condition, traffic, alternative route in case of traffic, vehicle health information, and the like Some of the use cases of the present disclosure are listed below: The method of the present disclosure reminds occupant (or user) of the vehicle about shopping information such as best deals for items at a shop based on the user profile and the location information of the vehicle.

The method of the present disclosure updates occupant (or user) of the vehicle with parameters such as weather condition, traffic, vehicle health information, and the like as soon as vehicle enters destination location. As an example, if the weather is not so good, the method of the present disclosure provides an alternative route as a suggestion and/or suggest additional clothing such as raincoat/ umbrella to the occupant of the vehicle.

The method of the present disclosure allows occupant of the vehicle to be reminded of his/her calendar appointments via a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle.

Furthermore, one or more computer readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer readable storage medium stores instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term "computer readable medium" should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include Random Access Memory (RAM), Read Only Memory (ROM), volatile memory, non-volatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media.

The described operations may be implemented as a method, an individual unit, system, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof The described operations may be implemented as code maintained in a "non-transitory computer readable medium", where a processor may read and execute the code from the computer readable medium. The processor is at least one of a microprocessor and a processor capable of processing and executing the queries. A non-transitory computer readable medium may include media such as magnetic storage medium (e.g., hard disk drives, floppy disks, tape and the like), optical storage (CD ROMs, DVDs, optical disks and the like), volatile and non-volatile memory devices (e.g., EEPROMs, ROMs, PROMs, RAMs, DRAMs, SRAMs, Flash Memory, firmware, programmable logic and the like) and the like. Further, non-transitory computer readable media include all computer readable media except for a transitory. The code implementing the described operations may further be implemented in hardware logic (e.g., an integrated circuit chip, Programmable Gate Array (PGA), Application Specific Integrated Circuit (ASIC) and the like).

The terms "an embodiment", "embodiment", "embodiments", "the embodiment", "the embodiments", "one or more embodiments", "some embodiments", and "one embodiment" mean "one or more (but not all) embodiments of the invention(s)" unless expressly specified otherwise.

The terms "including", "comprising", "having" and variations thereof mean "including but not limited to", unless expressly specified otherwise.

The enumerated listing of items does not imply that any or all the items are mutually exclusive, unless expressly specified otherwise.

The terms "a", "an" and "the" mean "one or more", unless expressly specified otherwise.

A description of an embodiment with several components in communication with each other does not imply that all such components are required. On the contrary, a variety of optional components are described to illustrate the wide variety of possible embodiments of the invention.

When a single device or article is described herein, it will be readily apparent that more than one device/article (whether or not they cooperate) may be used in place of a single device/article. Similarly, where more than one device or article is described herein (whether or not they cooperate), it will be readily apparent that a single device/article may be used in place of the more than one device or article, or a different number of devices/articles may be used instead of the shown number of devices or programs. The functionality and/or the features of a device may be alternatively embodied by one or more other devices which are not explicitly described as having such functionality/features. Thus, other embodiments of the invention need not include the device itself.

The illustrated operations of Figure 3 show certain events occurring in a certain order.

In alternative embodiments, certain operations may be performed in a different order, modified, or removed. Moreover, steps may be added to the above-described logic and still conform to the described embodiments. Further, operations described herein may occur sequentially or certain operations may be processed in parallel. Yet further, operations may be performed by a single processing unit or by distributed processing units.

Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter. It is therefore intended that the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based here on. Accordingly, the disclosure of the embodiments of the invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims.

While various aspects and embodiments have been disclosed herein, other aspects and embodiments will be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the scope being indicated by the following claims.

REFERRAL NUMERALS

Reference number Description

Environment 101 Personalized information unit 103 I/O interface Memory 107 Processor 109 Communication network 111 One or more sources 201 Data 203 User data 205 Information 207 Location data 209 Other data 211 One or more modules 213 Transceiver module 215 Segmenting module 217 Creating module 219 Selecting module 221 Providing module 223 Other modules

Claims

CLAIMS1. A method of providing personalized information for an occupant of a vehicle, the method comprising: receiving (301) user data and information from one or more sources (111); segmenting (303) the user data based on user preferences using a data segmentation technique; creating (305) a user profile by categorizing the segmented user data into one or more categories; receiving (307) a location information of the vehicle, in which the occupant is traveling, from the vehicle; selecting (309) one or more user-specific information from the information based on the user profile and the location information of the vehicle; and providing (311) the one or more user-specific information as personalized information to the occupant of the vehicle.
2. The method according to claim 1, wherein the one or more sources (111) comprises at least one of a dedicated application from Original Equipment Manufacturers (OEMs), database hosted by external vendors and user devices
3. The method according to claims 1 to 2, wherein the data segmentation technique is a linear regression technique or a logistic regression technique.
4. The method according to claims 1 to 3, wherein the user preferences comprise user likes and user dislikes.
5. The method according to claims 1 to 4, wherein selecting the one or more user-specific information from the information based on the user profile and the location information of the vehicle is performed using a machine learning technique.
6. The method according to any preceding claims, wherein providing the one or more user-specific information as personalized information for the occupant of the vehicle comprises: displaying the one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle.
7. The method according to any of the preceding claims, further comprising: updating the one or more user-specific information based on the user profile and a new location information of the vehicle; and displaying the updated one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface in proximity of seating position of the occupant in the vehicle.
8. A personalized information unit (101) for providing personalized information for an occupant of a vehicle, the personalized information unit (101) comprising: a processor (107); and a memory (105) communicatively coupled to the processor (107), wherein the memory (105) stores processor-executable instructions, which on execution, cause the processor (107) to: receive user data and information from one or more sources (111); segment the user data based on user preferences using a data segmentation technique; create a user profile by categorizing the segmented user data into one or more categories; receive a location information of the vehicle, in which the occupant is traveling, from the vehicle; select one or more user-specific information from the information based on the user profile and the location information of the vehicle; and provide the one or more user-specific information as personalized information to the occupant of the vehicle.
9. The personalized information unit (101) according to claim 8, wherein the one or more sources (111) comprises at least one of a dedicated application from Original Equipment Manufacturers (OEMs), database hosted by external vendors and user devices.
10. The personalized information unit (101) according to claims 8 to 9, wherein the data segmentation technique is a linear regression technique or a logistic regression technique.to
11. The personalized information unit (101) according to claims 8 to 10, wherein the user preferences comprise user likes and user dislikes.
12. The personalized information unit (101) according to claims 8 to 11, wherein selecting the one or more user-specific information from the information based on the user profile and the location information of the vehicle is performed using a machine learning technique.
13. The personalized information unit (101) according to claims 8 to 12, wherein the personalized information unit (101) is configured to display the one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface present in proximity of seating position of the occupant in the vehicle.
14. The personalized information unit (101) according to any preceding claims, wherein the personalized information unit (101) is configured to: update the one or more user-specific information based on the user profile and a new location information of the vehicle; and display the updated one or more user-specific information for the occupant of the vehicle via a holographic display or a human machine interface in proximity of seating position of the occupant in the vehicle.
15. The personalized information unit (101) according to any preceding claims, wherein the personalized information unit is part of the vehicle.