Description:FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
&
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
[SEE SECTION 10, RULE 13]

SYSTEMS AND METHODS FOR DETERMINING DESIGN PREFERENCE;

DESIGNQANDY PRIVATE LIMITED, A CORPORATION ORGANISED AND EXISTING UNDER THE LAWS OF INDIA, WHOSE ADDRESS IS-1ST FLOOR, SUNDER MAHAL, 92 VEER NARIMAN ROAD, 141 NS ROAD, MARINE DRIVE, MUMBAI – 400020.

THE FOLLOWING SPECIFICATION PARTICULARLY DESCRIBES THE INVENTION AND THE MANNER IN WHICH IT IS TO BE PERFORMED.

FIELD OF THE INVENTION
[0001] The present invention relates to design preference, and more particularly relates to systems and methods for determining design preference.
BACKGROUND OF THE INVENTION
[0002] While designing a space, such as but not limited to, a house or an office, the client is confused about which style of interiors to choose and what elements to include in the design. In some cases, the client knows about a certain style (such as, minimal) which they want their house to follow, but the designer has another interpretation of minimalistic style. Hence, the final design does not match the client’s expectations, resulting in multiple changes in design, which further results in extra time & money required. The designers usually use many reference pictures to gauge a client’s liking and disliking.
[0003] Similarly, a lot of time is spent in deciding on design elements like furniture, accessories, etc. In most cases, the furniture or accessory liked by the client does not necessarily go well with the design of the space. Hence, it is important to shortlist design-compatible pieces.
[0004] In view of the above, there is a dire need for efficient systems and methods for designing a space.
SUMMARY OF THE INVENTION
[0005] One or more embodiments of the present invention, provide systems and methods for designing a space.
[0006] In one aspect of the invention, a system for determining design preference is provided. The system comprises a memory and one or more hardware processors coupled to the memory, wherein the one or more hardware processors execute instructions stored in the memory to: generate, at least one design category, wherein the at least one design category includes multiple design options related to the specific design category, each design option representing a design style, display, on a display screen, the at least one design category, receive, at least one design option selected by a user on the display screen for the at least one design category and determine, the design preference of the user based on a computational model upon receiving the at least one design option selected by the user for the at least one design category.
[0007] In yet another aspect of the invention, a method for determining design preference is provided. The method comprises the steps of, generating, by a processor, at least one design category, wherein the at least one design category includes multiple design options, each design option representing a design style. Displaying, by the processor, on a display screen, the at least one design category. Receiving, by the processor, at least one design option selected by a user on the display screen for the at least one design category and determining, by the processor, the design preference of the user based on a computational model upon receiving the at least one design option selected by the user for the at least one design category.
[0008] Other features and aspects of this invention will be apparent from the following description and the accompanying drawings. The features and advantages described in this summary and in the following detailed description are not all-inclusive, and particularly, many additional features and advantages will be apparent to one of ordinary skill in the relevant art, in view of the drawings, specification, and claims hereof. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter, resort to the claims being necessary to determine such inventive subject matter.
BRIEF DESCRIPTION OF THE DRAWINGS
[0009] Reference will be made to embodiments of the invention, examples of which may be illustrated in the accompanying figures. These figures are intended to be illustrative, not limiting. The accompanying figures, which are incorporated in and constitute a part of the specification, are illustrative of one or more embodiments of the disclosed subject matter and together with the description explain various embodiments of the disclosed subject matter and are intended to be illustrative. Further, the accompanying figures have not necessarily been drawn to scale, and any values or dimensions in the accompanying figures are for illustration purposes only and may or may not represent actual or preferred values or dimensions. Although the invention is generally described in the context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments.
[0010] FIG. 1 illustrates an environment of a system for determining design preference, according to one or more embodiments of the present invention;
[0011] FIG. 2 is an exemplary illustration of multiple design categories displayed on a display screen, according to one or more embodiments of the present invention;
[0012] FIG. 3 is an exemplary illustration of one design category of plurality of design categories, according to one or more embodiments of the present invention;
[0013] FIG. 4 illustrates an exemplary embodiment of design categories, associated weighted scores and design styles, according to one or more embodiments of the present invention;
[0014] FIG. 5 illustrates an exemplary embodiment of a determining design preference utilizing a computation model, according to one or more embodiments of the present invention; and
[0015] FIG. 6 illustrates a flowchart of a method for determining design preference, according to one or more embodiments of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
[0016] Reference will now be made in detail to specific embodiments or features, examples of which are illustrated in the accompanying drawings. Wherever possible, corresponding or similar reference numbers will be used throughout the drawings to refer to the same or corresponding parts. References to various elements described herein, are made collectively or individually when there may be more than one element of the same type. However, such references are merely exemplary in nature. It may be noted that any reference to elements in the singular may also be construed to relate to the plural and vice-versa without limiting the scope of the invention to the exact number or type of such elements unless set forth explicitly in the appended claims. Moreover, relational terms such as first and second, and the like, may be used to distinguish one entity from the other, without necessarily implying any actual relationship or between such entities.
[0017] Various embodiments of the invention provide systems and methods for determining design preference. The present invention is configured to provide efficient systems and methods to determine design preference of a user. The design herein may be defined as any article, space, texture and color of the article, etc. which are viewed by a user from an aesthetic perspective.
[0018] Few of the technical advantages/technical effects derived from the present invention are illustrated below.
[0019] The system and method for determining design preference may be utilized for applications related to interior designing, furnishing, architecture, etc.
[0020] The present invention bridges the gap between the designers and users by determining design preference of the user, thereby reducing the time and money for the designer and the user to finalize on the design preference of the user. Further, since design is a form which is perceived by the brain, there is always a gap in conveying the design preference from one person to another. The present invention bridges this gap by determining the design preference of the user.
[0021] It is to be noted that the above indicated technical advantages/technical effects are purely exemplary in nature and should nowhere be construed as limiting the scope of the present invention.
[0022] Fig. 1 illustrates an example of an environment for systems and methods for determining preference of a user. The environment includes a system 102, a user interactive module 108 operable on a communication device 112 and a database 114, wherein the system 102, the communication device 112 and the database 114 communicate with each other over a communications network 116.
[0023] The communications network 116 may be one of, but not limited to, local area network (LAN) cable, wireless local area network (WLAN), cellular, or satellite.
[0024] In an embodiment, the system 102 includes a processor 104 and a memory 106. The memory 106 includes instructions and the processor 104 in communication with the memory 106 executes instructions to implement the present invention.
[0025] In an embodiment, the communication device 112 may be one of, but not limited to, desktop, laptop, mobile phone, PDA and tablet.
[0026] At the outset, the user is required to install the user interactive module 108 on the communication device 112. Once installed, the user is said to have been registered.
[0027] In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, for example, Java, C, or assembly. One or more software instructions in the modules may be embedded in firmware, such as an EPROM. It will be appreciated that modules may comprised connected logic units, such as gates and flip-flops, and may comprise programmable units, such as programmable gate arrays or processors. The modules described herein may be implemented as either software and/or hardware modules and may be stored in any type of computer-readable medium or other computer storage device.
[0028] Once the user is registered, the processor 104 is configured to generate multiple design categories 202 on the display screen 110 of the communication device 112 as shown in Fig. 2.
[0029] In an embodiment, the multiple design categories 202 are displayed on the display screen 110 on a single webpage.
[0030] In an alternate embodiment, each of the multiple design categories 204 is displayed on each webpage of the display screen 110 in one of a pre-defined and dynamic order.
[0031] In an embodiment, the specific design category 204 is related to, aesthetic appearance of at least one of, but not limited to, articles, spaces, texture, etc.
[0032] Further, each design category 204 of the multiple design categories 202 includes multiple design options 206. For example, if the design category 204 is a bedroom, then the multiple design options 206 related to the bedroom may be displayed to the user on the display screen 110 as shown in Fig. 3. In an embodiment, each design option 208 of the respective design category 204 represents at least one design style.
[0033] In a preferred embodiment, in order to generate the multiple design categories 202, the processor 104 utilizes a combination of at least one pre-defined design category and at least one dynamic design category. The at least one pre-defined design category may be pre-defined depending on the nature of designing activity. For example, to design interiors of the house, multiple pre-defined design categories may be one of, but not limited to, living room, bedroom, kitchen, table, sofas, bathroom, dining room, etc. Further, at least one dynamic design category may be generated based on social information of the user and the lifestyle preference of the user. For example, the design category 204 pertaining to watches may be generated depending on the interest of the user related to watches based on the social information and lifestyle preference of the user.
[0034] In an embodiment, the processor 104 receives the social information of a user from one or more social networking systems/platforms based on one of, historic and real time interaction of the user with pre-defined subjects pertaining to at least one of, but not limited to, places, interior design, vehicles, furniture, residential place, appliances and art which are of interest to the user as detected by the processor when user interacts with these pre-defined subjects through the one or more social networking platforms/systems.
[0035] In an embodiment, the processor 104 may utilize real time filter techniques in order to receive social information in response to the user’s one of, historical and real time interaction with pre-defined subjects.
[0036] Further, the processor 104 may also generate lifestyle-based questionnaire on the user interactive module 108, which may be related to, topics such as, but not limited to, preferred holiday location, preferred brand of clothing, preferred watch brand, favourite leisure activity, etc. These subjects essentially denote the moments of indulgence of the user and hence their preferences on these subjects can help predict almost precisely about their preferences about many subtle design nuances. Once the user has provided the lifestyle preferences based on responding to the lifestyle questionnaire, the processor utilizes combination of the social information and the lifestyle preferences in order to generate the multiple design categories.
[0037] In a preferred embodiment, the processor 104 generates multiple design categories which may be a combination of at least one of pre-defined design category and at least one dynamic design category based on the social information and lifestyle preference of the user.
[0038] In an alternate embodiment, the processor 104 may generate at least one pre-defined design category without taking into consideration the dynamic design category pertaining to the social information and lifestyle preference of the user.
[0039] In another alternate embodiment, the processor 104 may generate only at least one dynamic design category taking into consideration only the combination of social information and lifestyle preference of the user and excluding the at least one pre-defined design category.
[0040] In an embodiment, the user may be one of, but not limited to, a person intending to design a particular space including any articles, texture, etc. which may be located within the proximity of the space.
[0041] Further, based on the received social information, the processor 104 is configured to generate at least one dynamic design option 208 for each design category 204.
[0042] In an embodiment, the processor 104 generates the at least one dynamic design option for the respective design category 204 of the multiple design categories 202 by comparing, the received social information and lifestyle preference of the user with each design category 204 of the multiple design categories 202. In response to a match of at least one of the social information and lifestyle preference with at least one design category 204 of the design categories, the processor 104 generates and assigns the at least one dynamic design option 208 to the at least one design category 204. For example, the processor 104 based on collecting the social information related to at least one of, places visited by the user including various destinations, hotels stayed at these destinations or based on some property selected by the user, the processor 104 compares this information with each design category 204 of the multiple design categories 202.
[0043] In an embodiment, the processor 104 compares the received social information with each design category 204 based on at least one of, assigned identity of the respective design category 204 and a plurality of pre-defined design options available in the respective design category 204. Each of the plurality of pre-defined design option representing a design style.
[0044] In an embodiment, the processor 104 compares the received social information and lifestyle preference with each design category 204 by utilizing at least one of image, audio, video, character recognition techniques and a combination thereof.
[0045] In response to a match of at least one of the social information and lifestyle preference with at least one design category 204 of the multiple design categories 202, the processor 104 generates and assigns the at least one dynamic design option 208 to the at least one design category 204. In an embodiment, the at least one dynamic design option may be images, characters, video, audio and a combination thereof. For example, if the design category 204 is of the bedroom, then the processor 104 extracts details of the bedroom from at least one of the social information and the lifestyle preference which may be in the form of images, video, audio, characters, and combination thereof. Thereafter, the processor 104 generates the at least one dynamic design option pertaining to the bedroom in the form of images, video, audio, characters and combination thereof and assigns the same to the respective design category 204 pertaining to the bedroom based on comparison.
[0046] Once the at least one dynamic design option 208 is assigned to the at least one design category 204, the processor 104 assigns a design style to the at least one dynamic design option.
[0047] In an embodiment, the processor 104 assigns the at least one design style to the at least one dynamic design option 208 based on comparing the at least one dynamic design option with a plurality of reference design styles. For example, let us consider the at least one dynamic design option generated is an image of the bedroom. The at least one dynamic design option of the bedroom is compared with the plurality of reference design styles such as, classical, contemporary plush, tropical, etc. Based on the match of the at least one dynamic design option with at least one of the plurality of reference design styles, the at least one dynamic design option 208 is assigned the respective design style. For example, if the at least one dynamic design option matches with the design style of classical, then the at least one dynamic design option is assigned the design style as classical.
[0048] In an embodiment, the at least one dynamic design option 208 is compared with the plurality of reference design styles utilizing techniques such as, but not limited to, character, image, video, audio and combination thereof, which are well known in the art. In order to assign the at least one design dynamic option, a design style, a match of at least fifty percent may be considered.
[0049] Further, in case the at least one dynamic design option is assigned a specific design style which is overlapping with the pre-defined design options having various design styles in the specific design category, the processor 104 compares these design styles and removes the at least one overlapping design option in case they are similar by at least eighty percent. For example, if the at least one dynamic design option is assigned a design style of classical, and there is at least one another design option which is classical in the same design category, then the processor compares both the design options and removes at least one design option which may be at least eighty percent similar.
[0050] In an embodiment, the processor 104 while comparing the at least one dynamic design option pertaining to the social information and lifestyle preference with each design category, may have pre-set threshold percentages in order to determine a match of the social information with each of the multiple design categories. For example, let us consider that the dynamic design option extracted by the processor 104 from the social information is related to an image of the bedroom. The processor 104 compares the bedroom image with multiple design categories based on image comparison in order to determine the relevant design category pertaining to the bedroom. In a preferred embodiment, if at least one of the social information and the lifestyle preference details such as the image of the bedroom extracted herein matches at least in part by at least fifty percent, then the processor 104 determines that there is a match and assigns the at least one dynamic design option to the respective design category.
[0051] Once the at least one dynamic design option is generated and assigned for each design category, the processor is configured to collate, the at least one generated dynamic design option with a plurality of pre-defined design options to generate multiple design options 206 for each design category. For example, once the processor 104 generates the at least one dynamic design option 208 related to the bedroom based on at least one of the social information and the lifestyle preference, the processor 104 collates the at least one dynamic design option with a plurality of pre-defined design options. In an embodiment, the plurality of pre-defined design option are pre-defined, which are collated from various bedroom designs which are standard in the interior designing fraternity having different design styles.
[0052] In an alternate embodiment, the processor 104 is configured to generate multiple dynamic design options for the user based on at least one of, real time and historical data collected for the social information of the user and lifestyle preference details and collate the same with the plurality of pre-defined design options pertaining to the respective design category.
[0053] Further, in another alternate embodiment, the processor 104 is configured to generate and collate multiple dynamic design options for the user for the respective design category without the plurality of pre-defined design options.
[0054] Further, in another alternate embodiment, the processor 104 may just provide the plurality of pre-defined design options for the respective design category 204 without including the at least one dynamic design option that is generated based on the social information.
[0055] Advantageously, including the at least one dynamic design option based on social information and lifestyle preference of the user for each design category, ensures that user may be able to relate to the design styles from a personal standpoint, thereby increasing the probabilities of determining design preference of the user more efficiently.
[0056] Once the multiple design categories are displayed on the display screen 110 of the communication device 112, the user is allowed to select at least one design option 208 from a plurality of design options (which is a combination of at least one dynamic design option and plurality of pre-defined design options) for each design category 204 of the multiple design categories 202.
[0057] In an embodiment, the user may select at least one design option 208 for each design category 204 via the user interactive module 108 installed by the user on the communication device 112. In response to selecting by the user, at least one design option, the processor 104 considers the same for further processing.
[0058] Further, depending on the user, selecting at least one design option 208 from the current design category 204, the processor 104 is configured to generate at least one design option in the subsequent design categories which has a similar design style as selected by the user in the current design category. For example, as shown in Fig. 4, if the user selects the at least one design option “classical”, for the current design category “bedroom”, then when the user is required to select the at least one design option for the subsequent design category “living room”, the processor may generate multiple design options having similar design styles related to “classical” as selected by the user in the current design category.
[0059] In the event the user doesn’t select at least one design option 208 for each design category 202, the processor 104 may communicate with external sources in order to fetch additional design options for each design category 204. For example, in the event the user doesn’t select at least one design option for the design category related to the bedroom, the processor may understand that the user doesn’t like any of the plurality of design options for the design category, therefore, the processor communicates with external sources/systems in order to fetch additional design options for the design category ‘bedroom’. The processor 104 fetches additional design options from the external sources/systems in real time, advantageously ensuring the user is provided with additional design options.
[0060] Once the at least one design option 208 is selected for each design category 204 by the user, the processor 104 determines the design preference of the user based on a computational model.
[0061] In an embodiment, the computational model is based on a weighted score, wherein each design category is assigned a specific weighted score. As shown in Fig. 4, each design category is assigned a specific weighted score. Design categories such as, but not limited to, living room and bedroom have been assigned a higher weighted score of ‘300’ compared to other design categories, since these design categories are valued as more important with respect to interior spaces such as, a house. Further, design categories such as ‘sofas’ and bedroom are assigned a weighted score of ‘200’. Further, design categories, such as, ‘texture’, ‘kitchen’, ‘table’, ‘bathroom’, ‘lighting’, ‘mirror’, ‘rugs’, ‘study room’ and ‘wallpaper’ are assigned a weighted score of ‘150’.
[0062] Therefore, while determining design preference of the user, the processor 104 using the computational model such as, generates a tabulation table comprising rows and columns based on the number of design categories and number of design styles, respectively as shown in Fig. 5. For example, thirteen design categories are listed, therefore thirteen columns are generated and six design styles are identified, therefore six columns are generated. The rows represent the different design styles that have been listed in each design category. The columns represent corresponding design category. The processor 104 utilizing marker-plotter systems/techniques, plots the relevant cell with the assigned weighted score for the design category. The relevant cell representing the design option that was selected by the user for each design category, wherein the design option selected by the user representing the at least one design style as shown in Fig. 5. For example, let us consider that the user selects a single design option for the design category ‘living room’. In response to the selection of the design option by the user, the processor 104 first identifies which design style does the selected design option represent. In the present example, the processor 104 identifies the design style ‘classical’ in response to the selection of the design option by the user. Based on identification of the at least one design style corresponding to the selected design option, the processor 104 plots the relevant cell with the weighted score 300 corresponding to the design style ‘classical’ which represented the design option selected by the user. Once the relevant cells for all the design styles are marked based on corresponding design category, the total weighted score for each design style is computed. For example, the total weighted score for the design style ‘classical’ is 900, whereas for other design styles such as, classical and tropical is 800 and 200, respectively. The design style which has the highest weighted score is termed as the design preference of the user, in the present example, the design style classical with the total weighted score of 900 is determined as the design preference of the user.
[0063] In an embodiment, in the event, if two or more design styles have the same total weighted score, then additional design questions and/or design options may be required to be responded by the user in order to determine the design preference of the user. Advantageously, the present invention is able to determine design preference of the user in an efficient manner.
[0064] In another embodiment, in the event, if two or more design styles, each having a total weighted score with a small difference between them, even then additional design questions and/or design options may be required to be responded by the user in order to determine the design preference of the user. For example, if the design style “contemporary plush” has a total weighted score of 900 and the design style “classical” has a total weighted score of 875, then the processor may generate additional questions and/or design options which are required to be responded by the user in order to determine design preference of the user. The processor 104 may have pre-defined threshold in order to decide whether additional design questions and/or design options may have to be generated. For example, if the difference between the total weighted score of at least two design styles is 25 (which is a pre-defined threshold), the processor generates additional design questions and/or design options which are required to be responded by the user.
[0065] Once the design preference of the user is determined, the processor generates recommendation to the user of the design preference. In an embodiment, the recommendation may include displaying on the communication device the design preference of the user which has the highest total weighted score. Further, for each design category, the processor 104 displays the corresponding design style. For example, if the design style “contemporary plush” has the highest total weighted score of 900, then this is the design preference of the user. Therefore, when the designer is designing a space, outer or indoor, the entire space may be designed having the design style “contemporary plush”. Further, each design category will also be designed based on the design style “contemporary plush” along with the corresponding design style for the design category. As shown in Fig. 5, if the processor determines that the user prefers the design style for “living room” as “classical” then the living room will be designed taking into consideration the design preference of the user, i.e., the “contemporary plush” in combination with the preference of the user for the “living room”, i.e., classical. Therefore, when the processor determines the design preference of the user, the designer will be able to design each design category keeping in mind the design preference of the user and design preference for each design category.
[0066] In an embodiment, data such as, but not limited to, design category, design options, design styles, computed design preference, social information, lifestyle preference, etc are all stored at the database and/or servers and are retrieved by the processor as and when required for processing.
[0067] FIG. 6 shows a flowchart of a method for determining design preference. For the purpose of description, the method is described with the embodiments as illustrated in Fig. 1 to Fig. 5. The method comprises the steps as indicated below:
[0068] At step 605, generating, by a processor, at least one design category, wherein the at least one design category includes multiple design options, each design option representing a design style.
[0069] At step 610, displaying, by the processor, on a display screen, the at least one design category.
[0070] At step 615, receiving, by the processor, at least one design option selected by a user on the display screen for the at least one design category.
[0071] At step 620, determining, by the processor, the design preference of the user based on a computational model upon receiving the at least one design option selected by the user for the at least one design category.
[0072] While aspects of the present invention have been particularly shown and described with reference to the embodiments above, it will be understood by those skilled in the art that various additional embodiments may be contemplated by the modification of the disclosed machines, systems and methods without departing from the scope of what is disclosed. Such embodiments should be understood to fall within the scope of the present invention as determined based upon the claims and any equivalents thereof.
, Claims:1. A computer implemented method for determining design preference, the method comprising the steps of:
generating, by a processor, at least one design category, wherein the at least one design category includes multiple design options, each design option representing a design style;
displaying, by the processor, on a display screen, the at least one design category;
receiving, by the processor, at least one design option selected by a user on the display screen for the at least one design category; and
determining, by the processor, the design preference of the user based on a computational model upon receiving the at least one design option selected by the user for the at least one design category.

2. The method as claimed in claim 1, wherein the step of generating, by the processor, the at least one design category, includes the steps of:
receiving, by the processor, at least one of social information and lifestyle preference of the user;
generating, by the processor, at least one dynamic design option for the at least one design category based on the at least one of social information and lifestyle preference of the user; and
collating, the at least one generated dynamic design option with a plurality of pre-defined design options to generate multiple design options for the at least one design category.

3. The method as claimed in claim 2, wherein the social information received by the processor is at least one of, places, interior design, vehicles, furniture, residential place, appliances and art which are indicated by the user as interests through the one or more social networking systems/platforms.

4. The method as claimed in claim 1, wherein the design computational model is based on a total weighted score for each design style, wherein each design category is assigned a specific weighted score.

5. The method as claimed in claim 2, wherein the processor receives the social information of the user from one or more social network systems.

6. The method as claimed in claim 1, wherein each design option of the at least one design category is at least one of, images, videos, characters, audio and a combination thereof.

7. The method as claimed in claim 2, wherein the step of generating, by the processor, the at least one dynamic design option for the at least one design category based on the at least one of the social information and lifestyle preference, includes the steps of:
comparing, one of the received social information and lifestyle preference of the user with the at least one design category; and
in response to a match of at least one of the social information and the lifestyle preference of the user with at least one design category, generating at least one dynamic design option; and
assigning the at least one dynamic design option a design style pertaining to the respective design category.

8. The method as claimed in claim 7, wherein the processor compares the received one of the social information and the lifestyle preference of the user with the at least one design category based on at least one of, assigned identity of the respective design category and the plurality of pre-defined design options available in the respective design category.

9. The method as claimed in claim 8, wherein the processor compares the received at least one of the social information and lifestyle preference with the at least one design category by utilizing at least one of image, audio and character recognition techniques and a combination thereof.

10. A system for determining design preference, the system comprising:
a memory; and
one or more hardware processors coupled to the memory, wherein the one or more hardware processors execute instructions stored in the memory to:
generate, at least one design category, wherein the at least one design category includes multiple design options related to the specific design category, each design option representing a design style;
display, on a display screen, the at least one design category;
receive, at least one design option selected by a user on the display screen for the at least one design category; and
determine, the design preference of the user based on a computational model upon receiving the at least one design option selected by the user for the at least one design category.