Method for generating a personalized digital file

Abstract

The invention relates to a method for generating a personalized digital file. In particular, the method relates to the process of generating a file which represents a literary work, i.e. a personalized text, including corresponding and preferably likewise personalized images or drawings. The file can contain or represent the text and any images in a format which is suitable for printing or a format for electronic publishing in written form or as an audio file.

Description

[0001] PROCEDURE FOR CREATING A DIGITAL PERSONALIZED FILE

[0002] The invention relates to a method for creating a digital personalized file.

[0003] In particular, the method concerns the creation of a file representing a literary work, i.e., a personalized text, including associated and preferably also personalized images or illustrations. The file may contain or represent the text and any images in a format suitable for printing or a format for electronic publication, in written form or as an audio file.

[0004] For example, KR 102410253 B1 discloses a system and method for providing personalized books that analyze interests based on reading history and create personalized books containing personalized content and illustrations based on interests. The proposed book provision system includes a reading history database that stores a reading history associated with user IDs and book IDs, a book information database that stores book information including book IDs, text data, and image data, and personal information. A service server is configured to derive a user's interest based on the user's reading history stored in the reading history database in response to a request to create a customized book, and to create a personalized book based on the interests and book information stored in the book.

[0005] Similarly, KR 20200006672 A discloses a system for providing personalized stories for storybooks. This storybook production system includes collecting child information and child preference information, creating story content based on the collected child information and child preference information, converting an image to insert and combine the image into the constructed story content, and finally providing the combined story content.

[0006] US2002 / 0107895 A1 discloses a book and a method for creating such a book based on a structure predefined by the user and information and content provided by the user. Based on interview information and drawings of a child, the US

[0007] 2010 / 0038894 A1 a method for creating a personalized book for a child.

[0008] CN114218514 A1 discloses a layout method that uses previous user behavior to personalize page content.

[0009] The object of the present invention was to overcome the disadvantages of the prior art in such methods and to provide the possibilities to achieve the highest possible degree of personalization and timeliness of the file, as well as to expand the personalization in its manner and in the temporal and spatial environment.

[0010] This object is achieved by a method according to the claims.

[0011] The computer-implemented method according to the invention uses a combination of at least the following data and parameters and comprises the steps of: capturing user-specific data via one or more input devices such as a camera, a microphone, a keyboard, a digital pen, a sensor arrangement and, if appropriate, data provided by a digital memory; creating character parameters of at least one character based on the captured user-specific data; and creating at least one text part based on the character parameters and the captured user-specific data; inserting the text part into the file or a first file part in the digital personalized file.

[0012] This also includes the selection of a person in, for example, a novel that is similar to the buyer or the intended reader, although this person does not have to be the main character but can also be a supporting character.

[0013] The object is additionally achieved independently by a computer-implemented method for creating a digital personalized file by combining at least the following data and parameters, comprising the steps of: capturing user-specific data via one or more input devices such as a camera, a microphone, a keyboard, digital pen, a sensor arrangement and / or data provided by a digital memory; creating character parameters of at least one character on the basis of the captured user-specific data; and deriving a character pattern of a user on the basis of the created character parameters, at least partially assigning the derived character pattern to character patterns calculated in a model, wherein the calculated character patterns are based on training data which is processed on at least one graphics processor (GPU);Creating at least one text portion based on the assignment to at least one calculated character pattern; and inserting the text portion into the file or a first file portion in the digital personalized file; resolved;

[0014] This makes it possible to make predictions or decisions for further text or file creation very accurately and in a self-improving manner.

[0015] It can be advantageous if the user's character pattern is derived on a graphics processing unit (GPU) in a mobile device in order to be able to quickly recognize complex patterns.

[0016] Advantageously, the character patterns calculated during training of the model can be stored in a database in order to achieve a better forecast by more accurately assigning a character to stored character patterns.

[0017] The model can also be used advantageously to make predictions or decisions that correspond to the user's character pattern with a defined probability.

[0018] The computer-implemented method according to the invention preferably further comprises the steps of: capturing and / or inserting output parameters via at least one of the following input interfaces, such as voice input, keyboard, digital pen, camera, or file; - deriving emotional reactions for continuous adaptation of the character pattern. This allows for continuous interaction with the user and the text or file creation to be adapted or modified at short notice.

[0019] Advantageously, the creation of character parameters and / or the creation and / or revision of the text in at least one file part or the file is performed by a computing device configured by machine learning, preferably in the form of a graphics processor (GPU). The computer-implemented method according to the invention can optionally further comprise the selection of at least one element of one of the format categories for the file or the file parts. The format categories include, for example, page margins, font, alignment, page size, number of pages, page breaks, line spacing, preferably a predeterminable number of pages for an entire book block with a cover and with unprinted or partially printed pages and / or cover.

[0020] According to a further variant, the possible combination of at least two file parts; creation of a printable file based on the content of at least one file part and / or creation of a digital publication based on at least the content of one file part or the file can also be provided.

[0021] To accommodate the inclusion of graphic elements, the computer-implemented method according to the invention further comprises: creating images based on the content of the file or at least a part of the file, wherein the creation and / or downloading of at least one image is performed by a computing device configured by machine learning, in particular with the inclusion of artificial intelligence; inserting the at least one image into at least one part of the file or a file.

[0022] Preferably, the computer-implemented method further comprises: creating a printable file based on the content of at least one file part or one file; or creating a digital publication based on the content of at least text and image of at least one file part or one file.

[0023] The output format can also be an audio file, particularly one created from a text file using a text-to-speech system. Here, the information from the software system used to create the personalized text file is made available via an interface (API) for conversion into an audio file, and the text is converted into the most natural-sounding speech possible, particularly using AI technology. With appropriately equipped output devices and high computing power available, an animation or animated film can be automatically created from the personalized file.

[0024] A further optional variant of the computer-implemented method according to the invention is further characterized by: selection of at least one of the format categories for the file or the file parts, such as page margins, font, alignment, sheet size, number of pages, breaks, line spacing, preferably for a book block with a predeterminable number of sheets with a cover and with unprinted or partially printed pages and / or cover; creation of a printable file based on the content of at least one file part or file and the defined format categories; printing a publication or printing a book block based on the content, such as preferably text and image, of at least one file part or file.

[0025] A further method variant according to the invention comprises: selecting a characteristic text part from a file part or the file and / or an image, using the text and / or image data as a cover and preferably inserting it into the file; and printing the cover, preferably on the unprinted cover(s) of a book block, optionally including the content of the file, preferably the text and the images.

[0026] A further variant according to the invention is characterized by: collecting and verifying license rights for the data used to create a file part or a file; calculating the license fees for the license holder(s); and, if necessary, obtaining the consent of the license holder(s) and / or transferring the license fees to the license holder(s). The collection of license rights is preferably carried out by automated querying of the relevant databases or by automated comparison with copyrighted works.

[0027] The computer-implemented method according to the invention preferably further comprises: compiling the costs for the unprinted publication, the costs for local adaptation or addition of file parts or the file, and the local printing of the publication; adding the costs for translating texts of the file parts or the file using a computer configured for translation; determining a sales price for the book, optionally including the calculated license costs.

[0028] According to a further optional variant, the following steps are also provided: Creation of a text section using a computer unit configured for this purpose, comprising: first chapter; plot; summary; table of contents; insertion of the text section into the file section or the file. A further improvement in personalization is possible with a method variant which also includes: recording user-specific data; video recordings of a person regarding appearance, type of movement, in particular from surveillance cameras; audio recordings of a person such as speaking style, vocabulary, accent, dialect, language; reading of user-specific data from social networks, Wikipedia, purchasing behavior, in particular purchased books, magazines, e-books, and the like.of a person; evaluating information such as texts, in particular from diaries, photos, videos, parameters, age, gender, school / education, description, funny, introverted that are entered about a person; reading in a genetic evaluation and reading out personal information linked to the genetic evaluation from databases; capturing geographical information such as location and history; capturing language information; reading out news reports; reading out historical purchasing and / or reading behavior information.

[0029] The computer-implemented method according to the invention can comprise the following steps as further features: capturing output parameters via an input interface; output language such as speech, dialect; language level of the output; tonality; designations such as names of characters and / or places; writing style of an author; genre or type of work; format; plot and / or plot elements; time information and / or location information; theme of the plot; scope such as length in words or pages.

[0030] Further inventive features may include: generating recommendations for further output parameters or text snippets based on the captured user-specific data and the captured output parameters; generating the text snippet in response to a user's selection from the recommendations.

[0031] Another variant of the process also includes: translating the text into other languages; outputting the text in other formats; outputting alternative designs of the text, possibly with a different cover or other images.

[0032] To achieve the object posed at the outset, a device for creating a personal text is also provided, which comprises at least one input device, for example a camera, microphone, keyboard, digital pen, etc., for capturing user-specific data; and a computing device configured to create character parameters of at least one character based on the captured user-specific data; and to create at least one text portion based on the character parameters and the captured user-specific data.

[0033] Preferably, an embodiment of the device according to the invention is characterized by: at least one input interface such as voice input, keyboard, digital pen camera, file for recording output parameters; wherein the computing device is configured to create the at least one text part also on the basis of the recorded output parameters.

[0034] According to a further feature of the invention, the computing device may be a computing device configured by machine learning, which is configured to carry out the creation of character parameters and / or the creation and / or revision of a text in at least one file part or the file.

[0035] Preferably, the computing device is further configured to select at least one element of a format category for the file or the file parts.

[0036] A further preferred feature of the invention may be a computing device which is further configured to combine at least two file parts; to create a printable file based on the content of at least one file part; and / or to create a digital publication based on at least the content of one file part or the file.

[0037] According to a further feature of the invention, the computing device is further configured to create and / or download at least one image based on the content of the file or at least a file portion by a computing device configured by machine learning; and to insert the at least one image into at least a file portion or a file.

[0038] The computing device can further be configured to create a printable file based on the content of at least one file part or one file; and / or to create a digital publication based on the content of at least text and image of at least one file part or one file.

[0039] A further embodiment of the device according to the invention is configured to select at least one element of one of the format categories for the file or the file parts; to create a printable file based on the content of at least one file part or file and the defined format categories; and to print a publication or print a book block based on the content, such as preferably text and image, of at least one file part or file.

[0040] According to a further feature of the invention, the computing device is further configured to select a characteristic text part and / or a characteristic image from a file part or the file; to use the text and / or image data as a cover and preferably insert it into the file; and to print the cover, preferably on the unprinted cover(s) of a book block, optionally including the content of the file, preferably the text and the images.

[0041] According to a further feature of the invention, the computing device is further configured to collect and verify licensing rights of the data used to create a file part or a file; to calculate licensing costs for the holder(s) of the licensing rights; if necessary, to obtain the consent of the holder(s) of the licensing rights and / or to transfer the licensing costs to the holder(s) of the licensing rights.

[0042] Furthermore, the computing device could be configured to compile the costs for the publication, the costs for local adaptation or addition of parts of the file or the file, and / or the local printout of the publication; to add the costs for translating texts from the parts of the file or the file using a computing device configured for translation; and to determine a sales price for the book, possibly including the calculated license costs.

[0043] Preferably, the computing device is designed in such a way as to create a text part by means of a computer unit configured for this purpose, comprising at least one of the elements first chapter; plot; summary; table of contents; and / or to insert the text part into the file part or the file.

[0044] According to a further feature of the invention, the at least one input device for capturing user-specific data is configured, alternatively or in combination, to capture and / or evaluate video recordings of a person; to capture and / or evaluate audio recordings of a person; to capture and / or evaluate user-specific data from at least one data source; to capture and / or evaluate provided information relating to a person; to read in a genetic evaluation and capture and / or evaluate personal information linked to the genetic evaluation from at least one data source; to capture and / or evaluate geographical information of a person; to capture and / or evaluate voice information of a person; to capture and / or evaluate news reports in general or relating to just one person;and / or to collect and / or evaluate historical purchasing and / or reading behavior information;

[0045] A further embodiment of the device according to the invention is characterized in that the input interface is configured to capture and / or insert output parameters, in particular to capture and / or insert an output language; to capture and / or insert a language level of the output; to capture and / or insert a tonality; to capture designations such as names of characters and / or places; to capture an author's writing style; to capture a genre; to capture a format; to capture a plot and / or plot elements; to capture time information; to capture location information; to capture a theme of the plot; to capture writing information; and / or to capture information relating to the length of the text part.

[0046] According to a further feature of the invention, the computing device is further configured to generate recommendations for further output parameters or text portions based on the acquired user-specific data and the acquired output parameters; and to generate the text portion in response to a selection by a user from the recommendations.

[0047] The computing device can advantageously also be configured to translate the text part into other languages; to output the text part in other formats; and / or to output alternative designs of the text part, possibly a different cover and / or other images.

[0048] A model, as defined in this application, is a program trained on a data set to recognize certain patterns or make certain decisions without further human intervention. Artificial intelligence models apply various algorithms to relevant data inputs to achieve the tasks or output for which they were programmed or trained.

[0049] Algorithms are procedures, often described in mathematical language or pseudocode, that are applied to a dataset to achieve a specific function or purpose. Models are the result of an algorithm applied to a dataset.

[0050] A model can be used to make predictions or decisions, and an algorithm is the logic by which this model operates.

[0051] For a better understanding of the invention, it is explained in more detail using the following figures.

[0052] They show in a highly simplified, schematic representation:

[0053] Fig. 1 is a schematic overview of a system according to the invention for creating a digital personalized file.

[0054] Fig. 2 is a schematic overview of a second embodiment of the system according to the invention for creating a digital personalized file.

[0055] By way of introduction, it should be noted that in the variously described embodiments, the same elements, parts or systems are provided with the same reference symbols or the same component designations, whereby the disclosures contained in the entire description can be transferred analogously to the same parts with the same reference symbols or the same component designations.

[0056] Fig. 1 shows an exemplary embodiment of a system for creating a personalized digital file, which file represents a literary work, including associated images or illustrations. The file, advantageously created on a specially equipped computer system 1, can alternatively be created for printing on conventional or dedicated devices 7 or systems for electronic publication in written form or as an audio file on e-readers or tablets 4, on private or public IT systems 6, via data networks of public or private providers, etc. The file can be edited or previewed, for example, via a display unit 6 of the computer system 1.The computer system 1 can, for example, be a publisher's computer containing, for example, templates for personalized files or file components on a storage medium, which have been saved there, for example, by scanning printed texts and / or images 2 or by uploading them from electronic systems 3 (desktop publishing, DTP) and preferably immediately converted into printable files. From this central computer, the printed work can then be downloaded or viewed as an electronic publication (e-book) via the buyer's or reader's own reading devices (e-readers) 4, directly on the screen 5, or on the buyer's or reader's computer system 6. A preview can also be output on a control and / or display unit 8 during printing.

[0057] The inventive method utilizes a combination of data and parameters that can be entered, communicated, or even automatically captured by the reader, purchaser, or intended reader—if the work is commissioned or acquired by a third party, for example, as a gift. This user-specific data can be captured via one or more input devices or input interfaces. These can include, for example, cameras 9, microphones 10, keyboards, digital pens, trackpads, scanners 12 for photos, handwriting samples, or the like, various sensor arrangements, and optionally from a digital storage device, for example, a cloud storage device 11.On the basis of all of the data provided, which preferably includes video recordings of a person relating to their appearance and manner of movement, as well as audio recordings of a person such as their speaking style, vocabulary, accent, dialect, and language, it is possible to specify one or more character parameters of at least one character in the work to be created, and also to adapt their appearance, voice, manner of speaking, etc. On the basis of the recorded user-specific data, the computer system automatically creates at least one text section or inserts such a text section into an existing file or a first file section in the digital personalized file. Here and below, the terms “text” and “file” refer to the entire work created in accordance with the invention or the file representing this work for printing or electronic publication. The terms “text section” and “file” refer to the entire work created in accordance with the invention, respectively.“File part” stands for parts of these texts or files of varying sizes, from individual words such as names, places, character traits, etc. to longer text passages or even images, drawings, etc. The computing device of the computer system 1 is preferably configured by machine learning or implementation of artificial intelligence in such a way as to create character parameters of at least one character on the basis of the acquired user-specific data and to create at least one text part on the basis of the character parameters and the acquired user-specific data.

[0058] To enable various computer systems, including decentralized systems such as computer systems in a chain of retail outlets or for setting up user computer systems, to create personalized files, a computer program product can be provided and made available for purchase. It includes instructions whose execution by a suitably equipped computer results in the process described here. Depending on the equipment or availability of peripheral devices such as cameras, microphones, internet and database access, etc., personalization can be achieved to varying degrees. Such a program can be stored on a computer-readable data carrier.

[0059] The above-mentioned input devices and / or other input interfaces can also be used to automatically capture at least one output parameter of the personalized file and to use it as a basis for creating at least one further file part and / or supplementing at least the first file part or the file, also on the basis of the captured output parameters.

[0060] Data collection could - if the legal requirements are clarified - also take place automatically in front of or in a sales or production facility for the personalized printed matter or electronic publications, for example by using cameras or microphones to record the area in front of or in a shop or sales premises, or by activating the camera and microphone of the user's computer system in the case of an electronic order or request and / or querying them for approval.

[0061] Advantageously, the computer system 1 comprises a computing device configured by machine learning or a subsystem with artificial intelligence, in which the creation of character parameters and / or the creation and / or revision of the text in at least one file part or the file is carried out. Optionally, the selection of at least one of the format categories for the file or the file parts, such as page margins, font, alignment, page size, number of pages, breaks, line spacing, can be based on previously recorded data or preferences of the purchaser and / or consumer of the printed or audiovisual work.

[0062] According to a further variant, the possible combination of at least two file parts; creation of a printable file based on the content of at least one file part and / or creation of a digital publication based on at least the content of one file part or the file can also be provided.

[0063] In order to take into account the inclusion of graphic elements and to automatically integrate them into the creation of a personalized file or at least a part of the file, the computer system 1 is designed to create images, illustrations, or drawings based on the content of the file or at least a part of the file. The creation and / or downloading of at least one image from an external data source is preferably carried out by a computing device configured using machine learning, in particular with the inclusion of artificial intelligence. Such images or at least parts thereof, the type of such images, their number, and properties can also be determined from user-specific data that was captured, among other things, by means of the input devices or input interfaces, for example keyboards, trackpads, etc., or is captured upon request.

[0064] All of the above-mentioned, largely automated processes or procedural steps ultimately culminate in the step of creating a printable file based on the content of at least one file part or one file. Alternatively or additionally, a digital publication is created based on the content of at least one file part or one file, consisting of at least text and images.

[0065] Based on user-specific or buyer-specific data or specifications, the computer system 1 can automatically select at least one of the format categories for the file or file components, such as page margins, font, alignment, sheet size, number of pages, page breaks, line spacing, preferably for a book block with a predefined number of sheets, one cover, and unprinted or partially printed pages and / or cover. The creation of a printable file based on the content of at least one file component or file then also takes these specified format categories into account, just as they are automatically taken into account during the final printing of a publication or the printing of a book block based on the content, such as preferably text and images, of at least one file component or file.

[0066] For an attractive design of a printed book or also for a preview or the homepage of an electronic publication, a further method step can include the selection, preferably on the basis of the user data, of a characteristic text part from a file part or the file and / or an image.

[0067] This text and / or image data is automatically converted into a cover, title image, or similar, and preferably inserted directly into the file. For printed publications, it is preferably prepared for the unprinted cover(s) of a book block. In this case, printing is preferably carried out including the file content, preferably the text and images.

[0068] Through electronic connections to publishing systems, license databases, etc., any license rights for the data used to create a file or part of a file can be automatically collected and verified. Specifically, the use of systems with artificial intelligence allows for an automated comparison of the texts, images, etc., of the personalized files created by computer system 1 based on user input or user characteristics with existing works, particularly with copyrighted works. This comparison with license verification can be performed at each creation step and at each modification or extension of the file or part of the file created according to the present process.The result of this analysis can be automatically incorporated in computer system 1 into a calculation of the license costs for the license rights holder(s), if necessary including obtaining the consent of the license rights holder(s) and / or transferring the license costs to the license rights holder(s).

[0069] Preferably, the method further comprises the automated compilation of the costs for the unprinted publication, the costs for local adaptation or addition of file parts or the file, and the local printing of the publication. The cost compilation can also include the addition of the costs for translating texts from the file parts or the file using a computer configured for translation, after which the sales price of the book, the electronic publication, and / or the audio file is automatically determined, possibly including the calculated license fees.

[0070] As additional extensions that can be included when creating the text part, text or file part or the file, for example, a first chapter, the plot arc, a summary or a table of contents can be created and inserted using a computer unit configured for this purpose.

[0071] Further aspects of personalizing the file or file component to be created can be defined through the extraction and automated evaluation of user-specific data from social networks, Wikipedia, data on purchasing behavior, particularly regarding purchased books, magazines, e-books, and the like, which is particularly advantageous when supported by artificial intelligence. Further aspects of personalization can include the evaluation of information such as texts, particularly from diaries, blogs, vlogs, photos, videos, age, gender, education / training, and descriptions of the buyer or intended reader by third parties, both with regard to appearance, third-party impact, or character traits or temperament. Appearance can also be altered if necessary.

[0072] Information such as genetic analysis and the extraction of personal information linked to the genetic analysis can be obtained from other databases. If the system is continuously fed with new information about the reader or a designated reader, a kind of biography of that person can be created, with a constantly improving database. By requesting data from third parties, the biography and / or living conditions of these people could also be legally incorporated into the user's or reader's own personalized file.

[0073] Furthermore, geographical information 14 such as location and travel history can be entered or automatically determined. Based on this, language information can be created or adapted. Other information sources that can be specifically evaluated through machine learning, particularly with the involvement of artificial intelligence, in order to adapt the file portion or the file as a whole to the buyer or reader and their personal, geographical, demographic, social environment, and their historical and current living circumstances can include reading news reports; reading historical purchasing and / or reading behavior information; and evaluating information such as texts from or about the buyer or reader.

[0074] The following properties of the text part or text, the file part or file and their integrated images, covers and other components can be personalized via user input, as well as via information about the reader, buyer or their environment, including all aspects of life, which is obtained by the system on request or automatically: output language such as language, dialect; language level of the output; tone; designations such as names of characters, places; author's writing style; genre such as crime novel, romance novel, science fiction, historical novel, horror, young adult novel, children's book or type such as cookbook, non-fiction book, advice book, self-help book, biography, children's book, instructions; format; plot and / or plot elements such as special event, current event; time information [in which the plot should (also) take place]; location information [in which the plot should (also) take place]; topic of the plot; font size, font;Scope and length in words, pages.;

[0075] In further optional method steps, an extension can be carried out via the artificial intelligence of the computer system 1, which includes the creation of recommendations for further output parameters or text excerpts on the basis of the recorded user-specific data and the recorded output parameters and / or creation of the text part in response to a selection by a user from the recommendations.

[0076] By incorporating currently acquired information about the user and their surroundings or environment, including weather, temperature, etc., the artificial intelligence implemented in computer system 1 and its implementation enables rapid adaptation of individual file components or the entire file to the current situation. This is particularly true when the personalized file is output via electronic devices such as tablets, e-readers, etc. equipped with cameras and other sensors, and is completely up-to-date and error-free. Alternatively, such information can also be obtained by incorporating geo-information. This is even possible in a form of "just-in-time writing" or "live writing," in which the user or reader receives or can retrieve the latest versions of their personalized file in real time, so to speak.

[0077] This allows the information automatically collected by the system and evaluated by artificial intelligence to adapt the text, images, and / or their respective quantity, number, and type to the current life of the reader or consumer, moving from "historical writing" to the past. This type of publication is naturally better suited for purely digital reading (e-reader, smartphone, etc.).

[0078] If the system has geo-enablement, location-based information can also be processed and incorporated into the file, as can location and situation information when synchronizing computer system 1 with entries in a calendar file of the reader or intended reader or consumer of the file. This also allows for "predictive writing" in an environment in which the user will soon move based on the calendar entries.

[0079] This can even go so far that the system creates and makes accessible the file parts or the file itself for the reader or listener at the same time (e.g. if the user is located in the subway, the action of the text can be relocated to the subway and the situations and circumstances there can be taken into account at the exact time the file is accessed.

[0080] The text can also guide the user or stimulate next steps, for example sending the reader or listener to locations and checking whether they were actually there and developing the plot accordingly. If the camera and / or microphone of the e-reader, smartphone, tablet or similar is integrated, the specific characteristics of the user themselves as well as those in their environment can be incorporated into the plot by the artificial intelligence in the computer system 1 and blur the lines between reality and fiction. The same applies if feedback from the user themselves is taken into account via a suitably designed digital playback device or one of the input devices integrated in the system, for example through comments written via the smartphone keyboard or defined via selection fields or guiding inputs for the plot and the text or images. The files could also be used by different users with the appropriate release or.Linking their user accounts also links the actions of both users.

[0081] The computer system 1 adapted through machine learning or equipped with artificial intelligence systems can be used particularly advantageously for further adaptations to the user, reader, or listener. For example, the system can learn from reading speed and deduce what the user particularly likes and deliver more of that. On the other hand, a slower reading speed or correspondingly changed listening behavior can automatically generate a text in simpler language and / or simplify or adapt the plot. The reading speed - and also the interest in certain content - can be determined from the sequence of retrieving successive file parts, text passages, or from input data from sensors, for example from e-books, tablets, or reading devices, in particular from pupil movements via cameras of such devices.

[0082] Fig. 2 shows a further independent embodiment of the computer-implemented method for creating a digital personalized file by combining at least the following data and parameters, comprising the steps of: capturing user-specific data via one or more input devices such as a camera, a microphone, a keyboard, a digital pen, a sensor arrangement and / or data provided by a digital memory; creating character parameters of at least one character based on the captured user-specific data; and deriving a character pattern of a user based on the created character parameters; at least partially assigning the derived character pattern to character patterns calculated in a model, wherein the calculated character patterns are based on training data which is processed on at least one graphics processor (GPU) 15;Creating at least one text portion based on the assignment to at least one calculated character pattern; and inserting the text portion into the file or a first file portion in the digital personalized file. The creation of the texts or files can take place either on the graphics processor 15 or on the central processor 16. The character patterns, parameters, output parameters, character parameters, files, and texts can be stored in a database 17 or directly on the e-reader 4, which can also be any mobile device such as a laptop, PC, mobile phone, or tablet.

[0083] The partial assignment of the derived character pattern to a character pattern calculated in a model can be performed via an automated ranking or a probability of matching with one or a mixture of several calculated character patterns. For example, an initial match of 60% with character pattern 1 and 55% with character pattern 2 and 10% with character pattern 3 could enable a proportional mix or random assignment based on 100%. The derivation of the user's character pattern can also be performed on a graphics processing unit (GPU) in a mobile device, such as the e-reader 4.

[0084] The character patterns calculated during training of the model can be stored in a database 17 or on the e-reader 4.

[0085] The model can also be used to make predictions or decisions that correspond to the user's personality traits with a defined probability. Specific probability ranges between 0% and 100%, preferably between 80% and 100%, can be defined and taken into account when calculating the probability.

[0086] The embodiments show possible embodiments, whereby it should be noted at this point that the invention is not limited to the specifically illustrated embodiments thereof, but rather various combinations of the individual embodiments with each other are also possible and this possibility of variation lies within the skill of the person skilled in the art in this technical field due to the teaching of technical action by means of the objective invention.

[0087] The scope of protection is determined by the claims. However, the description and drawings must be used to interpret the claims. Individual features or combinations of features from the various embodiments shown and described may represent independent inventive solutions. The problem underlying these independent inventive solutions can be derived from the description.

[0088] Reference symbol list

[0089] Central Computer System Manuscript

[0090] DTP system e-reader

[0091] monitor

[0092] IT system

[0093] Printer

[0094] Operation and control camera

[0095] microphone

[0096] Cloud Storage Scanner

[0097] Social Media Source Geolocation Source Graphics Processing Unit (GPU) Central Processing Unit (CPU) Database

Claims

Patent claims 1. Computer-implemented method for creating a digital personalized file by combining at least the following data and parameters, comprising the steps - Capturing user-specific data via one or more input devices such as a camera, a microphone, a keyboard, a digital pen, a sensor array and / or data provided by a digital storage device; -Creating character parameters of at least one character based on the collected user-specific data; and - Creating at least a part of the text based on the character parameters and the collected user-specific data; -Inserting the text part into the file or a first file part in the digital personalized file.

2. Computer-implemented method for creating a digital personalized file by combining at least the following data and parameters, comprising the steps - Capturing user-specific data via one or more input devices such as a camera, a microphone, a keyboard, a digital pen, a sensor array and / or data provided by a digital storage device; -Creating character parameters of at least one character based on the collected user-specific data; and - Deriving a character pattern of a user based on the created character parameters - at least partial assignment of the derived character pattern to character patterns calculated in a model - where the calculated character patterns are based on training data which is processed on at least one graphics processor (GPU) - Creating at least one part of the text based on the assignment to at least one calculated character pattern; -Inserting the text part into the file or a first file part in the digital personalized file.

3. The computer-implemented method of claim 2, wherein deriving the user's character pattern is performed on a graphics processing unit (GPU) in a mobile device.

4. Computer-implemented method according to one or more of claims 2 to 3, wherein the character patterns calculated in a training of the model are stored in a database.

5. Computer-implemented method according to one or more of claims 2 to 4, wherein the model is used to make predictions or decisions which correspond to the character pattern of the user with a probability to be defined.

6. Computer-implemented according to one or more of claims 1 to 5, wherein the method further comprises: - Capturing and / or inserting output parameters via at least one of the following input interfaces such as voice input, keyboard, camera, file; - Deriving emotional reactions for ongoing adaptation of the character pattern.

7. Computer-implemented method according to one or more of claims 1 to 6, wherein the creation of character parameters or character patterns and / or the creation and / or revision of a text in at least one file part or the file is carried out by a computing device in the form of the graphics processor (GPU).

8. Computer-implemented method according to one or more of claims 1 to 7, wherein the method further comprises: - Selection of at least one element of a format category for the file or the file parts such as page margins, font, alignment, page size, number of pages, breaks, line spacing.

9. A computer-implemented method according to one or more of claims 1 to 8, wherein the method further comprises: - combining at least two parts of the file; - Creating a printable file based on the content of at least one file part; and / or - Creating a digital publication based on at least the content of a part of the file or the file.

10. Computer-implemented method according to one or more of the claims 1 to 9, the method further comprising: - Creating and / or downloading at least one image based on the content of the file or at least a part of the file by a computing device configured by machine learning, a large language model, or an artificial intelligence system; and inserting the at least one image into at least a part of the file or a file.

11. A computer-implemented method according to one or more of claims 1 to 10, wherein the method further comprises: - Creating a printable file based on the content of at least one part of a file or a file; and / or - Creating a digital publication based on the content of at least text and images of at least one file part or file.

12. A computer-implemented method according to one or more of claims 1 to 11, wherein the method further comprises: - Selection of at least one element of one of the format categories for the file or parts of the file; - creating a printable file based on the content of at least one file part or file and the specified form categories; and - Printing a publication or printing a book block based on the content, such as preferably text and images, of at least one file part or file.

13. A computer-implemented method according to one or more of claims 1 to 12, wherein the method further comprises: - selecting a characteristic text part and / or a characteristic image from a file part or the file; -Using the text and / or image data as a cover and preferably inserting it into the file; and - Printing the cover, preferably on the unprinted cover(s) of a book block, if necessary including the contents of the file, preferably the text and images.

14. Computer-implemented method according to one or more of the claims 1 to 13, the method further comprising: - Collecting and verifying licensing rights of the data used to create a file part or a file; - Calculation of the license costs for the holder(s) of the license rights; -where appropriate, automated obtaining of the consent of the holder(s) of the license rights and / or transfer of the license fees to the holder(s) of the license rights.

15. Computer-implemented method according to one or more of the claims 1 to 14, the method further comprising: - Summary of the costs for the publication, the costs for local adaptation or addition of parts of the file or the file, and / or the local printing of the publication; - Addition of the costs for a translation of texts of the file parts or the file using a computer configured for translation; and - Determination of a sales price for the book, if necessary including the calculated license fees.

16. Computer-implemented method according to one or more of the claims 1 to 15, the method further comprising: - Creation of a text section using a computer unit configured for this purpose, comprising: - First Chapter; - Plot; - Summary; - Table of contents; and / or - Insert the text part into the file part or file.

17. Computer-implemented method according to one or more of the claims 1 to 16, the method further comprising: Collecting user-specific data: - Capturing and / or evaluating video recordings of a person; - Capturing and / or evaluating audio recordings of a person; - Collecting and / or evaluating user-specific data from at least one data source; - Collecting and / or evaluating information provided concerning a person; - Reading in a genetic analysis and collecting and / or evaluating personal information linked to the genetic analysis from at least one data source; - Collecting and / or evaluating geographical information of a person; - Collecting and / or evaluating speech information from a person; - Collecting and / or evaluating news reports in general or concerning a person; and / or - Collecting and / or evaluating historical purchasing and / or reading behavior information.

18. Computer-implemented method according to one or more of the claims 1 to 17, the method further comprising: - capturing and / or inserting output parameters includes: - Capturing and / or inserting an output language; - Capturing and / or inserting a language level of the output; - Capturing and / or inserting a tonality; - Capturing labels such as names of characters and / or places; - Capturing an author's writing style; - Capturing a genre; - Capturing a format; - Capturing an action and / or action elements; - Recording time information; - Recording location information; - Identifying a theme of the plot; - Capturing written information; and / or - Collecting information related to the length of the text portion.

19. Computer-implemented method according to one or more of the claims 1 to 18, the method further comprising: - Creating recommendations for additional output parameters or text snippets based on the captured user-specific data and the captured output parameters; and - Creating the text part in response to a user's selection from the recommendations.

20. Computer-implemented method according to one or more of the claims 1 to 19, the method further comprising: - translating the text part into other languages; - Output the text part in other formats; and / or - Output of alternative designs of the text part, if necessary different cover and / or other images.

21. Device for creating a personal text, comprising: - at least one input device for capturing user-specific data; and - a computing device configured to create character parameters of at least one character on the basis of the acquired user-specific data and to create at least one text part on the basis of the character parameters and the acquired user-specific data.

22. The device according to claim 21, further comprising at least one input interface for capturing and / or inserting output parameters; wherein the computing device is configured to create the at least one text portion based on the captured output parameters.

23. The apparatus according to claim 21 or 22, wherein the computing device is a computing device configured by machine learning, which is configured to is to create character parameters and / or create and / or edit a text in at least one part of the file or the file.

24. Apparatus according to any one of claims 21 to 23, wherein the computing device is further configured to select at least one element of a format category for the file or the file parts.

25. Device according to one of claims 21 to 24, wherein the computing device is further configured to - to combine at least two parts of the file; - to create a printable file based on the content of at least one part of the file; and / or - to create a digital publication based on at least the content of a part of the file or the file itself.

26. Device according to one of claims 21 to 25, wherein the computing device is further configured to - to create and / or download at least one image based on the content of the file or at least part of the file by a computing device configured by machine learning; and - to insert at least one image into at least one file part or file.

27. Device according to one of claims 21 to 26, wherein the computing device is further configured to - to create a printable file based on the content of at least one part of the file or one file; and / or - to create a digital publication based on the content of at least text and images of at least one file part or one file.

28. Device according to one of claims 21 to 27, wherein the computing device is further configured to - select at least one element of one of the format categories for the file or parts of the file; - to create a printable file based on the content of at least one part of the file or one file and the specified form categories; and - to print a publication or a book block based on the content, preferably text and images, of at least one file part or file.

29. Device according to one of claims 21 to 28, wherein the computing device is further configured to - to select a characteristic text part and / or a characteristic image from a part of the file or the file; - to use the text and / or image data as a cover and preferably to insert it into the file; and - to print the cover, preferably on the unprinted cover(s) of a book block, if necessary including the contents of the file, preferably the text and images.

30. Device according to one of claims 21 to 29, wherein the computing device is further configured to - Rights to collect and verify the data used to create a file or part of a file; - to calculate license fees for the license rights holder(s); - where necessary, to obtain the consent of the license rights holder(s) and / or to transfer the license fees to the license rights holder(s).

31. Device according to one of claims 21 to 30, wherein the computing device is further configured to - the costs for publication, the costs for local adaptation or addition of parts of the file or the file, and / or to compile the local printout of the publication; - to add the costs for the translation of texts from the parts of the file or the file using a computer configured for translation; and - to determine a sales price for the book, taking into account the calculated license fees if necessary.

32. Device according to one of claims 21 to 31, wherein the computing device is further configured to create a text part by means of a computer unit configured for this purpose, comprising: - First Chapter; - Plot; - Summary; - Table of contents; and / or - insert the text part into the file part or the file.

33. Device according to one of claims 21 to 32, wherein the at least one input device for capturing user-specific data is configured to - to capture and / or evaluate video recordings of a person; - to record and / or evaluate audio recordings of a person; - to collect and / or evaluate user-specific data from at least one data source; - to collect and / or evaluate information provided concerning a person; - to read in a genetic analysis and to collect and / or evaluate personal information linked to the genetic analysis from at least one data source; - to collect and / or evaluate geographical information of a person; - to collect and / or evaluate a person’s speech information; - to collect and / or evaluate news reports in general or concerning a person; and / or - to collect and / or evaluate historical purchasing and / or reading behavior information.

34. Device according to one of claims 21 to 33, wherein the input interface for capturing and / or inserting output parameters is arranged to - to capture and / or insert an output language; - to record and / or insert a language level of the output; - to capture and / or insert a tonality; - to capture labels such as names of characters and / or places; - to understand an author's writing style; - to grasp a genre; - to capture a format; - to capture an action and / or elements of an action; - to record time information; - to record location information; - to grasp a theme of the plot; - to capture written information; and / or - To capture information concerning the length of the text section.

35. Device according to one of claims 21 to 34, wherein the computing device is further configured to - to create recommendations for further output parameters or text snippets based on the captured user-specific data and the captured output parameters; and - to create the text part in response to a user's selection from the recommendations.

36. Device according to one of claims 21 to 35, wherein the computing device is further arranged to - to translate the text part into other languages; - to output the text part in other formats; and / or - alternative designs of the text part, if necessary different cover and / or other images.

Images