![]() METHOD AND DEVICE FOR NEUROPSYCHOLOGICAL MODELING OF HUMAN EXPERIENCE AND BUYING BEHAVIOR.
专利摘要:
公开号:BE1019798A4 申请号:E2011/0617 申请日:2011-10-21 公开日:2012-12-04 发明作者:Coppenolle Bart Van;Philip Vandormael 申请人:Holybrain Bvba; IPC主号:
专利说明:
METHOD AND DEVICE FOR NEUROPSYCHOLOGICAL MODELING OF HUMAN EXPERIENCE AND BUYING BEHAVIOR The announcement relates to human behavior, and, more specifically, to a user interface that is optimized for brain task delimitation to mimic experience and buying behavior. The present invention relates to a system for accurately modeling the psychology of a buyer / buyer and arranging content objects in a user-initiated browsing and presentation channel, consisting of a neuropsychological modeling engine, a ranking application, and a behavioral model that communicate with each other and a presentation system for communication networks. The neuropsychological modeling engine uses metafiles associated with content objects, a buyer / viewer model, and a channel model to derive a value die representing an individual's state of mind and a value m representing an individual's motivational strength to select a content object. If the value Ψ is within an acceptable predetermined range, the value m is used to prepare an arrangement for the content object in relation to other content objects associated with the channel model. Also disclosed are a system and technique for simultaneously presenting multiple data streams with content objects on the user interface in a manner that encourages multidimensional browsing, using traditional navigation controls. Background / x According to neurophysiology and neuropsychology, a human brain comprises a left hemisphere and a right hemisphere, each with its own personality or consciousness and a separate way of processing information. For simplicity 1, these will be referred to as the left half and the right half, respectively. The left half of the brain is known for analytical, categorical thinking and textual, sequential processing. The right half of the brain is known for plastic, intuitive, holistic thinking and visual-spatial, parallel processing. Therefore, some processes or even simple exposure to certain stimuli will instead activate the right hemisphere and some other place of the left hemisphere. For example, textual information will activate the left hemisphere and visual-spatial information will activate the right hemisphere. Similarly, the action of searching through the menus will rather activate the left hemisphere, while navigating with, for example, a joystick through a landscape or space will activate the right hemisphere. Therefore, experiencing interfaces will rather activate the left or right half, depending on the type of elements used for the interfaces: eg visual-spatial elements or the text. Such left-right activation will also depend on the type of actions and thinking that are needed to use these elements. As explained in the rest of this text, hemispheric brain activity can also be linked to human emotions and moods. For example, a product interface can support a certain mood, depending on how the front-end and back-end are designed, and depending on the processes required to operate such an interface. The problem with current human interfaces is that they oblige us to process information or perform actions that are not in line with the voting experience for which the product was designed. Or, in other words, at some point during the user experience, these interfaces tend to activate a part of the brain, which then changes our emotions and therefore our mood in a non-desirable way. For example, people watch television to relax. Going through menus is an unwelcome break when one is in a relaxed atmosphere: it changes our mood from relaxation to frustration. There is a need for a technique that assumes the desired experienced mood and derives the experience interface including its front-end design, back-end design and its operation, taking into account the mood swings caused by the specific brain activity required for the interface of process and work flow. There is also a need for an interface that puts people in the right mood for certain activities or processes that are not yet optimally served today. Such applications, underserved from the experience point of view, are illustrated and grouped in six designs. There is a need for a system and technique that makes products or content, for example audio, video, graphic, advertising, website, brochure, etc. are pre-selected from one or more content sources and are presented with a higher degree of accuracy, in particular an individual taste or the desired mood on a certain platform and to ask for a specific type of transaction. There is a need for an e-reader black and white text representation emulator with which the user can display the figures in color or 3D by performing a simple, intuitive operation that keeps the user relaxed and does not require him to go through menus , or text or keywords or even changing platforms! There is a need for a web-based system that allows more automated recurring purchases. Such a system is not only a more efficient and relaxed alternative to state-of-the-art web shopping, but also to traditional supermarket shopping. There is a need for an automatic securities trading system that takes into account buyers and sellers' moods and performs automated trading activities accordingly. There is a need for · a trading system that supports the left hemisphere's risk management task and at the same time blocks the right hemisphere's pursuit of profit. There is a need for a model that links a buyer's typical emotions and mood, related to a specific type of sale, to an appropriate sales strategy. SUMMARY OF THE INVENTION The disclosure relates to a neuropsychological modeling technique and the resulting mathematical model for human emotions and moods applied in buyer, seller, user and psychology experience, more specifically applied in experience, interface, platform, process, and back end design of products, processes or services. Natural experiences interfaces are based on specific characteristics of the left and right consciousness, applied in the left hemisphere, right hemisphere or tandem interfaces. Based on the modeling technique or model, a natural user experience mood is chosen, which dictates the design of the user interface and the back-end of the product, process or service in question. The model or modeling technique therefore forms the basis of the design of the natural user experience, the user interface, the product process or workflow as well as the back-end. Such neuropsychological model technique or model or the natural user experience or its interface or its back-end process can be applied in various designs, including but not limited to: 1) An internet and / or media and / or TV experience on it system, using a specific / right brain interface and a tandem interface on different hardware platforms 2) A tandem interface for reading and / or research and / or writing, 3) A tandem user interface for those automatically buying on the internet allows for repeat consumer purchases. 4) An automatic system for trading securities, 5) An automatic internet bank or investment fund and 6) a model for sales training, consultancy and software. Therefore, and more generally, there is a need for a neuropsychological modeling technique and model that links basic human emotions, moods, and cortical activity, interface design strategies including their back-end, front-end, and operational process of human experiences. Experiences are understood as moods that occur naturally and optimally in certain processes. Interfaces between these processes and the experiences in the human brain are optimally designed to support the natural and optimal experience at every stage of the process. So left, right and tandem interfaces are used, with specific cortical request to lure specific moods. In addition to the modeling technique and associated inventions, six other inventions are presented to support the specific, practical relevance and technical implementation as the embodiment of the modeling technique in specific applications. The present invention relates to, but is not limited to: 1. A recommendation system functionally linked to a network-accessible source of the indexed content objects and a viewer system, the recommendation system capable of modeling the buyer / buyer psychology, the recommendation system comprising: a a neuropsychological modeling engine operably linked to the network-accessible source of indexed content objects; b. a behavioral modeler, functionally linked to the viewer system; c. a ranking application operatively linked to the neuropsychological modeling engine; d. a first memory, operably linked to the ranking application, the neuropsychological modeling engine, and the behavioral modeller for storing a plurality of viewer models; e, a second memory, operably linked to the ranking application, the neuropsychological modeling engine, and the behavioral modeler for storing channel models and arrangements of content objects in relation to a channel model; wherein the neuropsychological modeling engine is configured to: i) compare meta-data associated with a content object, received from the source of indexed content objects, meta-data associated with a viewer model and at least one viewer channel associated with the viewer, and ii) determining whether the received content object is eligible to be arranged among other content objects associated with the viewer channel in accordance with the viewer's emotional motivation to select the content object. 2. The system according to point 1, wherein the recommendation system further comprises: f. a mathematical model for human emotions, stored in memory and accessible to the neuropsychological modeling engine. The system of points 1 or 2 wherein the neuropsychological modeling engine is further configured to: iii) generate a fear vector value representing an individual's fear of selecting or purchasing the content object; iv) generate a desire vector value that represents an individual's desire to select or purchase the offered item; v) derive a value Ψ from the desire vector value and the fear vector value, which represents an individual's state of mind; vi) deriving a value m from the desire vector value and the fear vector value, which represents an individual's motivational strength to select the content object; and vii) if the value Ψ representing an individual's state of mind is within an acceptable predetermined range, provide the value m to the ranking application. The system of points 1 to 3 wherein the ranking application is configured to determine, using the value m received from the neuropsychological modeling engine, a ranking for the content object in relation to other content objects associated with the channel model. 5. A system consisting of a recommendation system according to one of points 1 to 4 and one or more content objects arranged and / or offered by the recommendation system. A method for modeling the psychology of a buyer / buyer, comprising: a. Comparing meta-data associated with a content object with meta-data associated with a channel model; b. generating a fear vector value that represents an individual's fear of selecting or purchasing the content object; c. generating a desire vector value that represents an individual's desire to select or purchase the offered item; d. deriving, from the desire vector value and the fear vector value, a value Ψ representing an individual's state of mind; e. deriving, from the desire vector value and the fear vector value, a value m that represents an individual's motivational strength to select or purchase the content object; and f. if the value Ψ representing an individual's state of mind is within an acceptable predetermined range, using the value m to determine a ranking for the content object in relation to other content objects associated with the channel model; scary. storing the channel model and a viewing model associated with the individual in a network-accessible memory. A system for modeling the psychology of a buying / buying buyer, consisting of: a. A first network-accessible memory for storing at least one channel model; b. a modeling engine, functionally coupled to the network-accessible memory and configured to compare meta-data associated with a content object with meta-data (associated with the channel model and to generate: i) a fear vector value that an individual fears (disgust) ) proposes to select or purchase the content object; ii) a desire vector value that represents an individual's desire to select or purchase the item offered; iii) a value Ψ representing an individual's state of mind, the value Ψ derived from the desire vector value and the fear vector value; iv) a value m representing an individual's motivational strength to select the content object, the value m derived from the desire vector value and the fear vector value; and c. an arrangement module responsive to the modeling engine to derive an arrangement for the content object in relation to other content objects associated with the channel model, from the value m generated by the modeling engine, if the value Ψ generated by the modeling engine is within an acceptable predetermined range ; and d. a second network-accessible memory for storing at least a portion of the content object and the other content objects. 8. A system consisting of a system according to point 7 and one or more content objects arranged by the system according to point 7. A method for enabling multi-dimensional surfing, comprising: a. Evaluating a first content object corresponding to behavioral metadata associated with a consumer to determine eligibility for ranking; b. assigning an emotional motivation value to the first content object, if eligible for ranking; and c. arranging a reference to the first content object between a first plurality of references to content objects in order of increasing or decreasing emotional motivation associated with the respective content objects. 10. The method according to point 9, further comprising: d. assigning a chronological ranking value to the first content object between a second plurality of content objects with at least one parameter value in common with the first content object. The method according to points 9 or 10, further comprising: e. arranging the first content object between a second plurality of content objects with at least one parameter value in common with the first content object in order of increasing or decreasing chronological ranking value. 12. A method for use with a video display system consisting of a video screen and a plurality of cursor navigation controls to sequentially move a user-selectable sub-area of the video screen surface in one or more directions, the method comprising: a. Receiving a first cursor navigation command; and B. forwarding the first cursor navigation command to start a presentation of a first content object from a first plurality of content objects that were previously arranged according to chronological order or progressively increasing or decreasing emotional motivation. 13. In a video display system consisting of: - a video screen; - a plurality of directional navigation controls to sequentially move a user selectable portion of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for passing the command signal to start a presentation of a first content object from a first plurality of content objects arranged in order of progressive emotional motivation; - wherein selection of a navigation control associated with a first direction starts a presentation of the first content object with at least the same or an increased emotional value than a previously presented content object; and - wherein the selection of a navigation control associated with a second direction, opposite the first direction, starts a presentation of the first content object with at least the same or reduced emotional motivation than a previously presented content object; and a plurality of memory buffers for storing at least a portion of the first plurality of content objects and the first content object. 14. The system according to item 13, further comprising: - control logic for receiving command signals associated with one of the navigation controls and for routing command signals to start a presentation of the first content object from a second plurality of content objects previously arranged in chronological order. 15. In a video display system, consisting of: - a video screen; a plurality of directional navigation controls for sequentially moving a user selectable sub-area of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for selecting a first content object from a first plurality of content objects arranged in order of increasing or decreasing emotional motivation and to establish a presentation of the first content object from a second multiple to content objects previously arranged in chronological order. 16. In a video display system, consisting of: - a video screen; - a plurality of directional navigation controls for sequentially moving a user selectable portion of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for forwarding the command signal to start a presentation of the first content object from a first plurality of content objects previously arranged in chronological order. - wherein selecting a navigation control associated with a first direction starts a presentation of the first content object with a prior chronological value than a previously presented content object; and - wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the first content object with a later chronological value than a previously presented content object; and - a plurality of memory buffers to store at least a portion of the first plurality of content objects and the first content object. A system according to any of the points 13 to 16 wherein at least one of the navigation controls is selected from navigation controls for up, down, left or right. . A system according to any of points 13 to 17 wherein at least a portion of the first plurality of content objects is displayed at the same time with the first content object. A system according to any of points 13 to 18 wherein at least a portion of the second plurality of content objects is displayed at the same time with the first content object. A system according to any of points 13 to 19 wherein part of the first or second plurality of content objects are displayed with graphical indicia indicating which navigation controls are thereby available. A system consisting of a system according to one of points 13 to 20 and one or more content objects arranged and / or selected with a system according to one of points 13 to 20. 22. A system for the display and navigation of multiple data streams, consisting of: - a video screen that defines a video screen surface; - a control interface, operatively linked to the video screen and configured to provide a plurality of directional navigation controls to sequentially move a user selectable subarea within the video screen surface in one or more directions; and a graphics engine for receiving command signals associated with one of the navigation controls to start a presentation of a primary content object from a first plurality of content objects arranged according to predetermined criteria. 23. The system of item 22 wherein the first plurality of content objects are arranged in a predetermined order of increasing or decreasing emotional motivation of a viewer to select the content objects. The system of point 23 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object with at least the same or increased emotional motivation than a previously presented content object. 25. The system according to item 24 wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the primary content object with at least the same or reduced emotional motivation than a previously presented content object. 26. The system according to item 22 wherein the first plurality of content objects were previously arranged in chronological order. 27. The system of item 26 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object with a prior chronological value than a previously presented content object. 28. The system according to point 27 wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the primary content object with a later chronological value associated with it than a previously presented content object. The system according to any of points 22 to 28, wherein the graphics engine is configured to display at least a portion of the first plurality of data streams with content objects at the same time as! displaying the primary data stream with content objects. 30. The system of item 29 wherein the portion of the first plurality of content object data streams is displayed with graphical indicia indicating which directional navigation controls are selectable thereby. The system according to any of points 29 to 30 wherein the portion of the first plurality of content object data streams is displayed with graphical indicia indicating the price associated with its selection. The system according to any of points 29 to 31, wherein the primary data stream with content objects is displayed with graphical indicia indicating an authorization status associated with its selection. 33. The system according to any of points 29 to 32 where the primary data stream with content objects is displayed with descriptive information about it. " The system of any of points 29 to 33 wherein the first plurality of content objects are arranged in a predetermined order according to the price associated with their selection. 35. The system of item 34 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object at no cost associated with its selection. . 36. The system according to item 35 wherein selecting a navigation control associated with a second direction, opposed to the first direction, a. presentation starts from the primary content object with a price associated with its selection. The system of any one of points 29 to 36 wherein a control interface is further configured to provide a plurality of controls to provide explicit feedback in the form of negative or positive emotion toward the primary content object or meta data associated with this. 38. The system according to any of points 29 to 37 wherein a control interface further comprises a plurality of color-coded controls that can be used to socialize the link to the primary content object. share with the appropriate social network or to provide a gift to or recommend the author (s) of the primary content object. 39. The system according to any of points 29 to 38, wherein the control interface further comprises accelerometers to detect horizontal, vertical and other motion patterns for use as navigation and selection commands. 40. The system according to any of points 29 to 39 wherein the graphics engine is further configured to display on the video screen third-party images that have recommended content, the images presented in a row relationship with a recommender of the primary content object. 41. The system according to any of points 29 to 40, wherein the system further comprises one or more virtual channels in which content objects come from single or multiple sources, external to the recommendation system, and can be arranged in any of the following categories: recommended content, guided content, third-party content, personal library content, user-generated content and images, mail, posted content and offline viewing of any of previous or regular channels. The system of any one of points 29 to 41 wherein the control interface is further configured to navigate between content objects arranged in dimensions and wherein the dimensions are logically nestled at multiple levels. 43. The system according to point 42 wherein the control interface is further configured to navigate between either a chronological arrangement of chronologically ordered content objects, or a vertical anxiety / desire dimension. 44. The system according to any of points 29 to 43, wherein the control interface is further configured to provide a command, a channel pointer or a display icon to access, and immediately present, as a primary content object, instructional materials relating to various functions and procedures associated with the system. 45. A system consisting of a system according to one of points 22 to 44 and a content object presented and / or selected with the aid of a system according to one of points 22 to 44. 46. A method for distributed delayed content streaming comprising: a. Providing a network-accessible memory for storing content that represents a first program; b. receiving in the network-accessible memory portions of the first program from a plurality of viewers that access the first program from another source; ^ c. editing the portions received from the plurality of viewers in the first program; and d. upon receipt of a request from one of the plurality of viewers, forwarding the first program to the requesting viewer. wherein the portions of the first program are received asynchronously from the plurality of viewers; wherein the first program is accessible to the plurality of viewers from the other source during a first period and wherein the first program is forwarded to the requesting viewer during a second period not identical to the first period. 47. A system for distributed delayed content streaming comprising: a. A network-accessible memory for storing content representing the first program; b. a network interface for receiving in the network accessible memory at least portions of the first program from a plurality of viewers having access to the first program from another source; c. a combination engine for mounting the portions received from the plurality of viewers in the first program; and d. a streaming interface for sending the first program to one of the plurality of on-demand viewers. 48. A system consisting of a system according to point 47 and one or more programs suitable for a system according to point 47. 49. A method of pre-distributed uploading of content comprising: a. Determining which of a plurality of content programs are accessible from a first source for downloading to a viewer system; b. requesting to download at least a portion of accessible programs from the first source to the viewer system at a first time; c. uploading at least a portion of the accessible program received by the viewer system to a second remote source together with permission indicia to identify the viewer system; and d. requesting to download the accessible program from the second source to the viewer system at a second time different from the first time. 50. A system for distributed uploading of content consisting of: a. A viewer system functionally linked via a network to a first source of content programs; b. program logic to determine which of a plurality of content programs are accessible from the first source and to request downloading of at least a portion of accessible programs from the first source to the viewer system at a first time point; and c. program logic for uploading at least a portion of the accessible program received by the viewer system to a second remote source together with the consent indicia for identifying the viewer system; and d. program logic for requesting downloading the accessible program from the second source to the viewer system at a second time different from the first time. 51. The system of point 49 further comprising: e. program logic for receiving streamed download of a part of the accessible program from the second source, wherein the streamed download part of the accessible program received from the second remote source is greater than the uploaded part of the accessible program transferred to the second source remotely from the viewer system. 52. A system consisting of a system according to one of points 50 or 51 and one or more content programs suitable for a system according to one of points 50 or 51. 53. A method for distributed delayed streaming of content, comprising: a. Providing a network-accessible memory for storing content that represents a first program received from a source; b. receiving, in the network-accessible memory, permission indicia identifying a plurality of viewers having access to the first program from the source; and c. upon receiving a request from one of the plurality of viewers, verifying the permission indicia to determine if requesting viewer has authorized access to the 1st program; and d. forwarding the first program to the requesting viewer after verification of the permission, wherein the first program is accessible to the plurality of viewers from the source during a first period and wherein the first program is forwarded to the requesting viewer during a second period not identical to the first period. 54. A system for distributed delayed streaming of content, consisting of: a. A network-accessible memory for storing content that represents a first program received from a source; b. a network interface for receiving in the network-accessible memory of permission indicia for identifying a plurality of viewers having access to the first program from the source; c. a check engine for determining, upon receipt of a request from one of the plurality of viewers, whether the requesting viewer has authorized access to the first program; and d. a streaming interface for sending the first program to the requesting viewer after verification of the admission. 55. A system consisting of a system according to point 54 and one or more programs suitable for a system according to point 54. 56. A system content selection and viewing system, comprising: a. A first user interface operatively linked to the composition of selectable and viewable content objects for presenting substantial visual, non-textual Information; b. a second user interface operably linked to the data associated with the content objects for presenting substantial textual information; c. a third user interface functionally linked to the composition of selectable and viewable content objects and the meta-data associated with the content objects for presenting visual content or textual information; and d. a network-accessible memory for storing at least a portion of the meta-data associated with the content objects. 57. A system consisting of a system according to point 56 and one or more content objects suitable for a system according to point 56. 58. A method for selecting and viewing program content, comprising: a. Providing a first user interface operably linked to the composition of selectable and viewable content objects for presenting substantial visual, non-textual information; b. providing a second user interface operably linked to meta-data associated with the content objects for presenting substantial textual information, and c. providing a third user interface operably linked to the composition of selectable and viewable content objects and the meta-data associated with the content objects for presenting visual content and textual information; and d. storing in a network-accessible memory of at least a portion of the meta-data associated with the content objects. DESCRIPTION OF THE FIGURES with respect to Fig. 1A, there is, in the top left corner, left active right passive 300; active left and right 301; right active and left passive 302; right and left passive 303. The i axis at 12h shows angry 304, passionate 305, dominant 306, relaxing 307, bored 308, apathetic 309, care 310, panicked 311. Figure 1B has the same designation in a square profile, the axes representing the positive emotions 314 in the horizontal axis, and the negative emotions 315 in the vertical axis ranging from layer 313 to high 312. Figure IC shows the Anxiety vector 316 on the y-axis and the Desire vector 317 is indicated on the X-axis. Figure 1D shows transformation of the positive quadrant in the complex plane to the logarithmic state space in accordance with the current document. Figure IE shows the Anxiety 316 and Desire Ratio 317 in a pie chart. Figure 1H shows the same in a square diagram. Figure 1G shows the light incidence 318 in the eyeball 319 via the pupil 320 and the retina 321. Figure II illustrates the active left cortex 322, the active right cortex 323 and the para limbically active system 324. Figure IJ illustrates the stable emotions that flow from anxiety 316 and desire 317. These are the higher 312 emotions such as panic 311, angry 304, passionate 305, dominant 306, and relaxing 307. The lower 313 emotions are apathetic 309 , concerns 310 and boredom 308. Figure IK shows on a pie chart where the above emotions lie in the brain. In the left active right passion 300, left and right active 301, active right and left passive 302, right and left passive 303. Figure 1L shows the same emotions in Mood Square. It indicates which positive 314 and which negative 315 emotions are and whether they are located high 312 or low 313. Figure 1M indicates a number of variations on the Mood Disk. It involves the following emotions: smug 1, amused 2, angry and annoyed 3, embarrassed 4, bored and annoyed 5, calm / zen 6.1 cheerful 7, confused 8, curious 9, depressed 10, excited 11, frustrated 12, guilty 13, indifferent 14, jealous 15, recognized 16, restless 17. Figure IN indicates the challenge 325 on the y-axis. On the x-axis you will find the skill level 326. The emotions consist of anxiety 327, excitement 328, flow tracking 329, control 330, relaxation 331, boredom 332, apathy 333, anxiety 334. Figure 2 shows the same emotions on a pie chart where you find the fear vector 316 on the y-axis and the Desire vector 317 on the x-axis. Figure 5 illustrates the theoretical effect of a desired TV user interfacing, including example values for the Fear coordinate f, the Desire coordinate d, the mood Ψ and the motivating force m in the Mood disk. You also see respectively left active right passive 300; active left and right 301; right active and left passive 302; right and left passive 303. Figure 6A shows approximately the same as Figure 6. Figure 6B theoretically illustrates the sales paths of desire based on B2B sales, fear-based B2B sales and B2C sales on the Mood Disk. It's about the emotions panic 311, angry 304, passionate 305 dominant 306, relaxed 307, bored 308, apathetic 309, worried 310 and panic 311. Figure 6C shows the same as Figure 6C but with the numbered phases. Figure 6D again shows the same but the emotions are marked passionately 305, dominant 306 and relaxation 307. Figure 7 illustrates this Flow Chart with the following elements back: 30. Public WAN; 31. Private network; 32. Viewer system; 33. Viewer system34. Content provider; 35. Modeling system; 36. Content provider; 37. Content provider. Figure 8 again shows a Flow Chart with the elements: 40. Code of behavior code; 41. Modeling engine; 42. Arrangement application, 43. Network interface; 44. Port; 45. Gate; 46. Viewer system; 47. Content objects; 48. Channels / arrangement. Figure 9A shows a Flow Chart with the following elements: 32. Viewer system 41. Neuropsychological modeling engine 42. Arrangement application; 46. Viewer model 47. Content object 48. Channel / group arrangement 49. Behavior model 60. Indexed content material. Figure 9D shows you the following elements on the FIow chart: 32. Viewer system 41. Neuropsychological modeling engine 42. Ranking application; 46. Viewer model 47. Content object 48. Channel / group arrangement 49. Behavior model 60. Indexed content material. Figure 9B On the flow chart you will find from top to bottom: 61. Behavioral event 62. Channel to be changed Model 63. The channel to be used. Data to create a query from indexed content 64. Generate Ψ and m values for the local content object. 65. Ψ can channel be selected 66.More channels 67. The next channel. Figure 9E On the flow chart it says from top to bottom: 61. Behavioral event 62. Change the viewer model 63. Change the channel model. Figure 9F On the flow chart, from top to bottom: 63. Query indexed content based on viewer and channel model 64. Generate F and D coordinates for each content object found 65. Assign selectable content objects to selected channels. 66. More channels 328. Post process step for content objects without channels or discovering new clusters 67. Next channel 68. Arrange and sort objects in selected channel. Figure 9C On this flow chart you will find: - Get the following content object 73 - More content objects 71. Figure 10 A contains the following elements from top to bottom: - Viewers ID / network address - caption type / level - Gender / age / marital status - Genre preference 1 - preference value - Genre preference 2 - preference value - Preference N, preferred type INI, preferred value IM - Last specific request / date - Average time viewed - Event / date / action / elapsed time - Event / date / action / elapsed time Figure 10 A1 contains the following table: Anxiety coefficient ontology component 1 Anxiety coefficient value Anxiety coefficient ontology component 2 Anxiety coefficient value Anxiety coefficient ontology component ... Anxiety coefficient value Anxiety coefficient ontology component N Anxiety coefficient value Desire coefficient ontology component 1 Desire coefficient value Desire coefficient ontology component 2 Desire coefficient value Desire coefficient ontology component ... Desire coefficient value Desire coefficient ontology component N Desire coefficient value Content identifier 1 Identify value Exception Mood Disk area 1 Relaxed / passionate value Content identifier 2 Identify value Exception Mood Disk area 2 Relaxed / passionate value Content identifier ... Identify value Exception Mood Disk area ... Relaxed / passionate value Content identifier INI Identify value Exception Mood Disk area N Relaxed / passionate value Figure 10B shows a flow chart with the following components: o channel ID network address o Viewers ID network address Group I01, Group IOZ, ..., Group IDM o last modified / object count o Dominant preference 1 - preferred value o Dominant preference 2 - preferred value o Dominant preference N - preferred value o Subdominant preference 1 - preferred value o Subdominant preference 2 - preferred value o Subdominant preference N - preferred value o Preferred bucket 1ID o Preferred bucket 2 o Preferred bucket N Figure IOC 1 contains the following concepts: o Content object ID - Data type o Content object ID memory reference o duration / series / episode o Genre / Actor lead 1 o Producer / Actor lead 2 o Date / publisher Figure 10C1 contains the following concepts: Content Object ID Content object ID Memory reference Date of broadcast Time of broadcast Start time of broadcast End time of broadcast Title Year of production 'Country of production Main genre Subgenre Delivery title episode number Delivery year Director. The cast Description Qualification for the parent Producer Publisher Pre-cataloged Mood disk area Figure 11B shows a flow chart with the text: Send the following content object ld to the server. Figure 11C illustrates a flow chart with the text from top to bottom: Start 330 New reference 331 Resolving reference 332 Retrieving Meta Data 333 Retrieving content object 334 Setting the timer 335 St'ream content 336 Streaming is done 337 Deliver Meta Data and the elapsed time in the behavioral module 338 Figure 11D shows a flow chart with the following elements from bottom to top o Display the elementary content object 339 o Is the command allowed for the elementary content object 340 o Press the channel number 341 o Channel above / below 342 o Arrow 343 o Display the channel associated with the pressed channel number 344 o Display the channel associated with the current channel number -1 / + 1 345 o Double press 346 o Press once 349 o Double press left / right 347 o Arrow up / down 351 o Arrow left / right 350 o display nested dimension of the primary content object i, j 348 o Channel with one source of recommendation 352 o Display of the content object with the horizontal dimension il / + l and the vertical dimension j as elementary content object 355 o Display of the content object with the horizontal dimension Î-1 / + 1 and and the vertical dimension jl / + l as elementary content object 353 o Representation of the demension of the content object of the recommendation source -1 / + 1 354 Figure 12C shows the following information: Content object ld - channel / group ID Content object memory reference Ranking value / Position value Content object Meta Data site references link 1 / link 2 /.../ Link N Figure 10B1 shows another Channel ID table Filter 1 Filter value Filter value Filter N Filter value Anxiety coordinate Anxiety value Desire coordinate Desire value Cut-off type Type value Cut-off Cut-off value Sort field Sort field value Sort order Sort order value Figure 13A shows a Flow Chart, with the following information from left to right: Content file source 36, download content file / meta data 356, viewer system 32a, 32b, 32c, 32n, upload a fractional file with meta data 417, modeling system 35, download the entire content in a selected format 357. Figure 13B shows another Flow chart with the following information from left to right: Content source 36, viewer system 32a, 32b, 32c, 32n, modeling system 35, meta data / authorization indicia download 358, upload of meta data structures 359, download of the full 360 content. Figure 13C shows a fiow chart with the information from top to bottom: For each content object of a recorded request 361 Confirm against a content source provider 362 Are the access rights ok 363 Tune to channel stream 364 Define the content object fraction 365 Change to the requested request 366 Create a data structure with meta data 367 Upload meta data and (if necessary) part in the modeling system 368 Figure 13D shows a flow chart with information from top to bottom: Content request from the viewer system 370 Is the content available 371 Is the viewer system authorized to view the content 372 Stream the content to the viewer system 373 Figure 13E shows a flow chart with information from top to bottom: Meta data content object and part of the viewer system 374 Update the proxy of the viewer system 375 Check the content. Is the clause useful 376 Upde the content together 377 Figure 15 is a list with the following content: 122A: Content Object ID 124A: temporary / sequential markers 126A: Authorization indicia 128A: Channel ID 127A: Viewer's ID 129A: Description keys Figure 17 shows a table with the following information: Content object ID / link Link / Link Start address / size License status / duration Recommender / image Composite system Graphic parameters Links Figure 23 shows a diagram with the words: 34. Content source, 35. Recommendation system, 32A & B. viewer system, 36. Content source, 31. Content source Figure 24A shows a diagram with content: content source 162a, 162b, 162n, recommendation system 35, local storage 193, graphic engine 115, screen 120, virtual recommendation channel 500, viewer system 32. Figure 24B consists of a Flow Chart: For every social media website on which the viewer is registered 380 Check the recommendations with viewer 381 for each social account that is linked to viewer registration 382 Collect recommendations from social accounts 383 Is the recommended content available 384 Save the recommendation meta data and refer to the recommended content in the good channel 385 Figure 25 is also from a Flow chart. From bottom to top are the following terms: Content sources 172a, 172b, 172n, recommendation system 35, left brain screen, local storage 193, graphic engine 115, screen 120, virtual director channel 170, right brain screen, viewer system 32. Figure 26A is a flow chart with the following concepts: 182a. Remote application, 182b. Remote application, 182n. Remote application 183. Content source, 35. Recommendation system, 115. Graphic engine, 180. Virtual third party channel, 32. Viewer system, 120. Screen Figure 26B is a flow chart with the following information: Receive / collect content from a third party application 386. Is the content eligible for the right brain 387 Save the content meta data and (refer) the content to the appropriate channel 388. Figure 27 is a flow chart with the following concepts: 197. External storage; 35. Recommendation system, 115. Graphic engine; 193. Local storage; 120. Screen; 32. Viewer system; 190. Virtual library channel Figure 28A contains the following elements: 204. External source; 35. Recommendation system; 115. Graphic engine; 204. Local storage; 32. Viewer system; 120. Screen; 200 virtual off-line channel Figure 28B consists of the following concepts: Collect the selected content for offline mode 389. Is the content eligible for the offline mode 390 Convert the content to use in offline mode 391. Save the content for offline access 392. Figure 29A shows a flow chart with the concepts: 212a / b / n. Content storage; 213. External source; 35. Recommendation system; 115. Graphic engine; 120. Screen; 32. Viewer system; 216. Local storage; 210. Virtual photo / UGC channel Figure 29 B consists of a Flow Chart with the following information: For every social media website where the viewer provides information 393 Collect the information provided 394. Is the content suitable for the right hemisphere 395 Save the content meta data and refer the content to the appropriate channel 396. Figure 30A consists of a flow chart such as 29A but with these concepts: 222a / b / n. Content storage, 223. External source, 35. Aa'p command system; 115. Graphic engine; 120. Screen; 32. Viewer system; 220. Virtual mail channel Figure 30B shows a Flow Chart with the following concepts: For every social media website on which the viewer registered 397 View what the viewer has posted 400. For every social media account that is linked to the viewer registration 398 Collect messages from the social account 399 is the post suitable for the right brain hemisphere 401 Save the post meta data and (refer to) the content in the appropriate channel 402. Figure 31A shows a Flow Chart with the following components: 232a / 232b / 232n. E-mail processes; 233. External source, 35. Recommendation system; 115. Graphic engine; ; 120. Screen; 32. Viewer system; 230. Virtual mail channel Figure 31B contains the following components: For each of the viewers' electronic mail service 403 Get the messages from the electronic mail service 404 For each message 405 Appendix with content of the type suitable for the right hemisphere 406 Retrieve the messages meta data and save the meta data, the content and the most important point 407 Figure 33. Shows a Flow Chart with the following information from bottom to bottom: Colored button 408 Red button 409 Update the viewer model based on this content object and / or its meta data 410 Blue button 411 - □ Update the viewer model based on this content object and / or its meta data 412 Yellow button 413 - □ Post a link on the content object to apply to the social network 414 Green button 415 - □ Register the viewer's gratitude for applicable author / recommendation of this content object 416 Figure 34. Shows a Flow Chart with the information: 1. Begin emotion 2. The will to change 3. Private fear covered 4. Social fear covered The arrows on the arrows say round the clock: o Desire is nurtured o The private fear is being covered o The social anxiety is being covered o Desire gives satisfaction Figure 34. Shows a Flow Chart with the information: 1. Begin emotion 2. The need to be recognized 3. Private fear covered 4. Social fear covered The arrows say clockwise: o Fear is created o The private fear is covered o The social fear is covered o Desire gives satisfaction Figure 34. Shows a Flow Chart with the information: 1. Begin emotion 2. Private fear covered 3. Social fear covered The arrows state clockwise: o Desire is nurtured / Private fear is covered o Social fear is covered o Satisfaction Figure 37. Shows a Flow Chart with the following components: 60A. Purchase offer; 41A. Neuropsychophogic modeling engine; 46A. Purchase models 42A. Ranking application; 49A Behavior modeler; 48A. Ranking / sales channels; 47A. Sales items DETAILED DESCRIPTION Unless defined otherwise, all terms used in the description of the invention, including technical and scientific terms, have the meaning as generally understood by those skilled in the art of the invention. For a better assessment of the description of the invention, the following terms are explicitly explained. "A", "de" and "het" in this document refer to both the singular and the plural unless the context clearly assumes otherwise. For example, "a segment" means one or more than one segment. When "about" or "round" is used in this document for a measurable quantity, a parameter, a duration or moment, and the like, variations are meant of +/- 20% or less, preferably +/- 10% or less, more preferably +/- 5% or less, even more preferably +/- 1% or less, and even more preferably +/- 0.1% or less than and of the quoted value, insofar as such variations apply in the described invention. However, it must be understood here that the value of the quantity at which the term "about" or "round" is used is itself specifically disclosed. The terms "include", "comprising", "consist of", "consisting of", "provided with", "contain", "containing", "include", "including", "contents", "contents" are synonyms and are inclusive or open terms indicating the presence of what follows, and which do not preclude or preclude the presence of other components, features, elements, members, steps, known from or described in the prior art. The citation of numerical intervals by the end points includes all integers, fractions and / or real numbers between the end points, including these end points. i
权利要求:
Claims (58) [1] 1. A recommendation system functionally linked to a network-accessible 1 source of the indexed content objects and a viewer system, the recommendation system capable of modeling the buyer / buyer psychology, the recommendation system comprising: a. A neuropsychological modeling engine, functionally linked to the network - accessible source of indexed content objects; b. a behavioral modeler, functionally linked to the viewer system; c. a ranking application operatively linked to the neuropsychological modeling engine; d. a first memory functionally coupled to the ranking application, the neuropsychological modeling engine, and the behavioral modeller for storing a plurality of viewer models; e. a second memory, operatively linked to the ranking application, the neuropsychological modeling engine, and the behavioral modeler for storing channel models and content object arrangements in relation to a channel model; wherein the neuropsychological modeling engine is configured to: i) compare meta-data associated with a content object, received from the source of indexed content objects, with meta-data associated with a viewer model and at least one viewer channel associated with the viewer, and ii) determining whether the received content object is eligible to be arranged among other content objects associated with the viewer channel in accordance with the viewer's emotional motivation to select the content object. [2] The system of claim 1 wherein the recommendation system further comprises: f. a mathematical model for human emotions, stored in memory and accessible to the neuropsychological modeling engine. [3] The system of claim 1 or 2 wherein the neuropsychological modeling engine is further configured to: iii) generate a fear vector value representing an individual's fear of selecting or purchasing the content object; iv) generate a desire vector value that represents an individual's desire to select or purchase the offered item; v) deriving a value Ψ from the desire vector value and the fear vector value, which represents an individual's state of mind; vi) deriving a value m from the desire vector value and the fear vector value, which represents an individual's motivational strength to select the content object; and • vil) if the value Ψ representing an individual's state of mind is within an acceptable predetermined range, provide the value m to the ranking application. [4] The system according to claims 1 to 3, wherein the ranking application is configured to determine, using the value m received from the neuropsychological modeling engine, a ranking for the content object in relation to other content objects associated with the channel model. [5] A system consisting of a recommendation system according to any of claims 1 to 4 and one or more content objects arranged and / or offered by the recommendation system. [6] A method for modeling the psychology of a buyer / buyer, comprising: a. Comparing meta-data associated with a content object with meta-data associated with a channel model; b. generating a fear vector value that represents an individual's fear of selecting or purchasing the content object; c. generating a desire vector value that represents an individual's desire to select or purchase the offered item; d. deriving, from the desire vector value and the fear vector value, a value Ψ representing an individual's state of mind; e. deriving, from the desire vector value and the fear vector value, a value m that represents an individual's motivational strength to select or purchase the content object; and f. if the value W representing an individual's state of mind is within an acceptable predetermined range, using the value m to determine a ranking for the content object in relation to other content objects associated with the channel model; scary. storing the channel model and a viewing model associated with the individual in a network-accessible memory. [7] A system for modeling the psychology of a buying / buying buyer, consisting of: a. A first network-accessible memory for storing at least one channel model; b. a modeling engine, functionally coupled to the network-accessible memory and configured to compare meta-data associated with a content object with meta-data associated with the channel model and to generate: i) a fear vector value that an individual fears (repulsion) proposes to select or purchase the content object; ii) a desire vector value that represents an individual's desire to select or purchase the item offered; iii) a value Ψ representing an individual's state of mind, the value Ψ derived from the desire vector value and the fear vector value; iv) a value m representing an individual's motivational strength to select the content object, the value m derived from the desire vector value and the fear vector value; and c. an arrangement module responsive to the modeling engine to derive an arrangement for the content object in relation to other content objects associated with the channel model, from the value m generated by the modeling engine, if the value Ψ generated by the modeling engine is within an acceptable predetermined range ; and d. a second network-accessible memory for storing at least a portion of the content object and the other content objects. [8] A system consisting of a system according to claim 7 and one or more content objects arranged by the system according to claim 7. [9] A method for enabling multi-dimensional surfing, comprising: a. Evaluating a first content object corresponding to behavioral metadata associated with a consumer to determine eligibility for ranking; b. assigning an emotional motivation value to the first content object, if eligible for ranking; and c. arranging a reference to the first content object between a first plurality of references to content objects in order of increasing or decreasing emotional motivation associated with the respective content objects. [10] The method of claim 9, further comprising: d. assigning a chronological ranking value to the first content object between a second plurality of content objects with at least one parameter value in common with the first content object. [11] The method of claims 9 or 10, further comprising: e. arranging the first content object between a second plurality of content objects with at least one parameter value in common with the first content object in order of increasing or decreasing chronological ranking value. [12] 12. A method for use with a video display system consisting of a video screen and a plurality of cursor navigation controls to sequentially move a user selectable portion of the video screen surface in one or more directions, the method comprising: a. Receiving a first cursor navigation command; and B. forwarding the first cursor navigation command to start a presentation of a first content object from a first plurality of content objects that were previously arranged according to chronological order or progressively increasing or decreasing emotional motivation. [13] 13. In a video display system consisting of: - a video screen; - a plurality of directional navigation controls to sequentially move a user selectable portion of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for routing the command signal to start a presentation of a first content object from one. first plurality of content objects arranged in order of progressive emotional motivation; - wherein selection of a navigation control associated with a first direction starts a presentation of the first content object with at least the same or an increased emotional value than a previously presented content object; and - wherein the selection of a navigation control associated with a second direction, opposite the first direction, starts a presentation of the first content object with at least the same or reduced emotional motivation than a previously presented content object; and a plurality of memory buffers for storing at least a portion of the first plurality of content objects and the first content object. [14] The system according to claim 13, further comprising: - control logic for receiving command signals associated with one of the navigation controls and for routing. of command signals to start a presentation of the first content object from a second plurality of content objects previously arranged in chronological order. [15] 15. In a video display system, consisting of: - a video screen; - a plurality of directional navigation controls for sequentially moving a user selectable portion of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for selecting a first content object from a first plurality of content objects arranged in order of rising or falling emotional motivation and to start a presentation of the first content object from a second plurality to content objects previously arranged in chronological order. [16] 16. In a video display system, consisting of: - a video screen; - a plurality of directional navigation controls for sequentially moving a user selectable portion of the video screen in one or more directions over the video screen surface; - control logic for receiving command signals associated with one of the navigation controls and for forwarding it. command signal to start a presentation of the first content object from a first plurality of content objects previously arranged in chronological order. - wherein selecting a navigation control associated with a first direction starts a presentation of the first content object with a prior chronological value than a previously presented content object; and - wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the first content object with a later chronological value than a previously presented content object; and - a plurality of memory buffers to store at least a portion of the first plurality of content objects and the first content object. [17] A system according to any of claims 13 to 16 wherein at least one of the navigation controls is selected from navigation controls for up, down, left or right. [18] A system according to any of claims 13 to 17 wherein at least a portion of the first plurality of content objects is displayed at the same time with the first content object. [19] A system according to any of claims 13 to 18 wherein at least a portion of the second plurality of content objects is displayed at the same time with the first content object. [20] A system according to any of claims 13 to 19, wherein a portion of the first or second plurality of content objects are displayed with graphical indicia indicating which navigation controls are thereby available. [21] A system consisting of a system according to any of claims 13 to 20 and one or more content objects arranged and / or selected with a system according to any of claims 13 to 20. [22] 22. A system for the display and navigation of multiple data streams, consisting of: - a video screen that defines a video screen surface; - a control interface, functionally coupled to the video screen and configured to provide a plurality of directional navigation controls to sequentially move a user-selectable sub-area within the video screen surface in one or more directions; and a graphics engine for receiving command signals associated with one of the navigation controls to start a presentation of a primary content object from a first plurality of content objects arranged according to predetermined criteria. [23] The system of claim 22 wherein the first plurality of content objects are arranged in a predetermined order of rising or falling emotional motivation of a viewer to select the content objects. [24] The system of claim 23 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object with at least the same or increased emotional motivation than a previously presented content object. [25] The system of claim 24 wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the primary content object with at least the same or reduced emotional motivation than a previously presented content object. [26] The system of claim 22 wherein the first plurality of content objects were previously arranged in chronological order. [27] The system of claim 26 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object with a prior chronological value than a previously presented content object. [28] The system of claim 27 wherein selecting a navigation control associated with a second direction, opposite to the first direction, starts a presentation of the primary content object with a later chronological value associated with it than a previously presented content object. [29] The system of any one of claims 22 to 28 wherein the graphics engine is configured to display at least a portion of the first plurality of content object data streams at the same time as displaying the primary content object data stream. [30] The system of claim 29 wherein the portion of the first plurality of content object data streams is displayed with graphical indicia indicating which directional navigation controls are selectable thereby. [31] The system of any one of claims 29 to 30 wherein the portion of the first plurality of content object data streams is displayed with graphical indicia indicating which price is associated with its selection. [32] The system of any one of claims 29 to 31 wherein the primary content stream data stream is displayed with graphical indicia indicating an authorization status associated with its selection. [33] The system of any one of claims 19 to 32 wherein the primary data stream with content objects is displayed with descriptive information thereof. [34] The system of claim 22 wherein the first plurality of content objects are arranged in a predetermined order according to the price associated with their selection. [35] The system of claim 34 wherein selecting a navigation control associated with a first direction starts a presentation of the primary content object at no cost associated with its selection. [36] The system of claim 35 wherein selecting a navigation control associated with a second direction, opposed to the first direction, starts a presentation of the primary content object with a price associated with its selection. [37] The system of any one of claims 22 to 36 wherein a control interface is further configured to provide a plurality of controls to provide explicit feedback in the form of negative or positive emotion toward the primary content object or meta data associated with this. [38] The system of any one of claims 22 to 37 wherein a control interface further comprises a plurality of color-coded controls that can be used to socially share the link to the primary content object with the appropriate social network or to provide a gift to the author (s) of the primary content object or its recommender. [39] The system of any one of claims 22 to 38 wherein the control interface further comprises accelerometers to detect horizontal, vertical and other motion patterns for use as navigation and selection commands. [40] The system of any one of claims 22 to 39 wherein the graphics engine is further configured to display on the video screen images of third parties that have recommended content, the images presented in a row relationship with a recommender of the primary content object. [41] The system according to any of claims 22 to 40, wherein the system further comprises one or more virtual channels in which content objects come from single or multiple sources, external to the recommendation system, and can be arranged in either of the following categories: recommended content, guided content, third-party content, personal library content, user-generated content and images, mail, posted content and offline viewing of any of previous or regular channels. [42] The system of any one of claims 22 to 41 wherein the control interface is further configured to navigate between content objects arranged in dimensions and wherein the dimensions are logically nestled at multiple levels. [43] The system of claim 42 wherein the control interface is further configured to navigate between either a chronological arrangement of chronologically ordered content objects, or a vertical anxiety / desire dimension. [44] The system according to any of claims 22 to 43, wherein the control interface is further configured to provide a command, a channel pointer or a display icon to access and present instructional, as a primary content object, immediately materials relating to various functions and procedures associated with the system. [45] A system consisting of a system according to any of claims 22 to 44 and a content object presented and / or selected using a system according to any of claims 22 to 44. [46] 46. A method for distributed delayed content streaming comprising: a. Providing a network-accessible memory for storing content that represents a first program; b. receiving in the network-accessible memory portions of the first program from a plurality of viewers that access the first program from another source; c. editing the portions received from the plurality of viewers in the first program; and d. upon receipt of a request from one of the plurality of viewers, forwarding the first program to the requesting viewer. wherein the portions of the first program are received asynchronously from the plurality of viewers; / wherein the first program is accessible to the plurality of viewers from the other source during a first period and wherein the first program is forwarded to the requesting viewer during a second period not identical to the first period. [47] 47. A system for distributed delayed content streaming comprising: a. A network-accessible memory for storing content representing the first program; b. a network interface for receiving in the network-accessible memory at least portions of the first program from a plurality of viewers having access to the first program from another source; c. a combination engine for mounting the portions received from the plurality of viewers in the first program; and d. a streaming interface for sending the first program to one of the plurality of on-demand viewers. [48] A system consisting of a system according to claim 47 and one or more programs suitable for a system according to claim 47. [49] 49. A method for distributed uploading of content comprising: a. Determining which of a plurality of content programs are accessible from a first source for downloading to a viewer system; b. requesting to download at least a portion of accessible programs from the first source to the viewer system at a first time; c. uploading at least a portion of the accessible program received by the viewer system to a second remote source together with permission indicia to identify the viewer system; and d. requesting to download the accessible program from the second source to the viewer system at a second time different from the first time. [50] 50. A system for distributed uploading of content consisting of: a. A viewer system functionally linked via a network to a first source of content programs; b. program logic to determine which of a plurality of inhaling programs are accessible from the first source and to request downloading of at least a portion of accessible programs from the first source to the viewer system at a first time point; and c. program logic for uploading at least a portion of the accessible program received by the viewer system to a second remote source together with the consent indicia for identifying the viewer system; and d. program logic for requesting downloading the accessible program from the second source to the viewer system at a second time different from the first time. [51] 51. The system of claim 50 further comprising: e. program logic for receiving streamed download of a part of the accessible program from the second source, wherein the streamed download part of the accessible program received from the second remote source is greater than the uploaded part of the accessible program transferred to the second source remotely from the viewer system. [52] A system consisting of a system according to any of claims 50 or 51 and one or more content programs suitable for a system according to any of claims 50 or 51. [53] 53. A method for distributed delayed streaming of content, comprising: a. Providing a network-accessible memory for storing content that represents a first program received from a source; b. receiving, in the network-accessible, memory indications identifying a plurality of viewers having access to the first program from the source; and c. upon receiving a request from one of the plurality of viewers, verifying the permission indicia to determine if requesting viewer has authorized access to the 1st program; and d. forwarding the first program to the requesting viewer after verification of the permission, wherein the first program is accessible to the plurality of viewers from the source during a first period and wherein the first program is forwarded to the requesting viewer during a second period not identical to the first period. [54] 54. A system for distributed delayed streaming of content, consisting of: a. A network-accessible memory for storing contents representing a first program received from a source; b. a network interface for receiving in the network-accessible memory of permission indicia for identifying a plurality of viewers having access to the first program from the source; c. a check engine for determining, upon receipt of a request from one of the plurality of viewers, whether the requesting viewer has authorized access to the first program; and d. a streaming interface for sending the first program to the requesting viewer after verification of the admission. [55] A system consisting of a system according to claim 54 and one or more programs suitable for a system according to claim 54. [56] 56. A system content selection and viewing system, comprising: a. A first user interface operably linked to the composition of selectable and viewable content objects for presenting substantial visual, non-textual information; b. a second user interface operably linked to the data associated with the content objects for presenting substantial textual information; c. a third user interface functionally linked to the composition of selectable and viewable content objects and the meta-data associated with the content objects for presenting visual content or textual information; and d. a network-accessible memory for storing at least a portion of the meta-data associated with the content objects. [57] A system consisting of a system according to claim 56 and one or more content objects suitable for a system according to claim 56. [58] 58. A method for selecting and viewing program content, comprising: a. Providing a first user interface operably linked to the composition of selectable and viewable content objects for presenting substantial visual, non-textual information; b. providing a second user interface operably linked to meta-data associated with the content objects for presenting substantial textual information, and c. providing a third user interface operably linked to the composition of selectable and viewable content objects and the meta-data associated with the content objects for presenting visual content and textual information; and d. storing in a network-accessible memory of at least a portion of the meta-data associated with the content objects.
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同族专利:
公开号 | 公开日
引用文献:
公开号 | 申请日 | 公开日 | 申请人 | 专利标题 US20060282304A1|2005-05-02|2006-12-14|Cnet Networks, Inc.|System and method for an electronic product advisor| US20090248494A1|2008-04-01|2009-10-01|Certona Corporation|System and method for collecting and targeting visitor behavior|
法律状态:
2019-06-26| MM| Lapsed because of non-payment of the annual fee|Effective date: 20181031 |
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申请号 | 申请日 | 专利标题 US40546610P| true| 2010-10-21|2010-10-21| US40546010P| true| 2010-10-21|2010-10-21| US40546610|2010-10-21| US40546010|2010-10-21| US41220610P| true| 2010-11-10|2010-11-10| US41220610|2010-11-10| US201161479648P| true| 2011-04-27|2011-04-27| US201161479648|2011-04-27| US201161540812P| true| 2011-09-29|2011-09-29| US201161540812|2011-09-29| 相关专利
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