Contextually-based Automatic Service Offerings to Users of Machine System
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Accused Products
Abstract
Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic or other data-objects organizing space maintained by the system and various social entities monitored by the system. More specifically, one of the cross-correlations may be as between the top N now-hottest topics being focused-upon by a first social entity and the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.
238 Citations
169 Claims
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1. :
- (canceled)
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12. :
- A non-abstract first data processing device usable by a respective first user and operatively coupled to or couplable to a respective first display or other to-user information output means, the first data processing device also being operatively couplable to an attention modeling system that has access to signals representing attention indicative activities of plural users of the attention modeling system, where the first data processing device is configured;
(a) to cause presentation by way of the first display or other to-user information output means, of a first array of two or more first items, the presented first items each respectively representing a user contribution made in a chat or other forum participation session that is linked to by one of points, nodes or subregions of a respective Cognitive Attention Receiving Space (CARS) maintained by the attention modeling system, where the user contribution represented by the respective first item was contributed by a first user and thereafter was indicated as being worthy of promotion to and inclusion in a worthy-items array structured to contain other user contributions that are similarly indicated as being worthy of promotion to and inclusion in the worthy-items array, where the indications of the corresponding user contributions as being worthy are based on at least one of; (a.1) the represented user contribution having received a number of net positive votes by different users other than the contributing user, which net positive votes exceed a predetermined threshold and thus indicate the user contribution is worthy of promotion to and inclusion in the worthy-items array; (a.2) reputations and/or credentials of the users who voted to promote the item versus reputations and/or credentials of those who voted against its promotion; (a.3) rapidity with which users voted to promote (or demote) the item (e.g., number of net positive votes within a predetermined unit of time exceeds a predetermined threshold); (a.4) emotions relayed via CFi or CVi signals to the attention modeling system and indicating how strongly the voters felt about the item and whether the emotions were intensifying with time. - View Dependent Claims (13)
- A non-abstract first data processing device usable by a respective first user and operatively coupled to or couplable to a respective first display or other to-user information output means, the first data processing device also being operatively couplable to an attention modeling system that has access to signals representing attention indicative activities of plural users of the attention modeling system, where the first data processing device is configured;
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14-18. -18. (canceled)
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30. :
- A non-abstract machine-implemented method comprising;
maintaining in a system memory, representations of one or more Cognitive Attention Receiving Spaces (CARSs), each having points, nodes or subregions and optionally having cognitive-sense-representing clustering center points (PNOS'"'"'s), where the PNOS'"'"'s are hierarchically and/or spatial-wise organized and are clustered together relative to one another or relative to one of the cognitive-sense-representing clustering center points and/or the PNOS'"'"'s are logically linked so as to thereby be cross-associated, one relative to a next in accordance with a predefined space specification; defining a group of system-using members and determining therefor, or determining for each respective member of a prespecified group of system-using members, reactions of the members to content presented to them by the system, where the presented content corresponds to at least one of the system-maintained points, nodes or subregions of at least one of the system-maintained Cognitive Attention Receiving Spaces (CARSs); determining an average or other collectivized reaction of the members as a group to the presented content; determining a deviation as between individualized reactions of at least one of the members and the determined average or other collectivized reaction of the group; and generating a report that includes at least one of the determined average or other collectivized reaction of the group and the determined deviation of the at least one of the members. - View Dependent Claims (31, 32, 33)
- A non-abstract machine-implemented method comprising;
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34. :
- (canceled)
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37-39. -39. (canceled)
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43-46. -46. (canceled)
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47. :
- A non-abstract and transportable first data processing device usable by a respective first user who can transport the device, the device being operatively couplable to, and when being or immediately after being transported, an attention modeling system that has access to signals representing attention indicative and/or context indicative attributes of the first user, the attention modeling system further having access to further signals representing attention indicative and/or context indicative attributes of plural other users of the attention modeling system, the attention modeling system yet further maintaining in a system memory of the attention modeling system, representations of one or more Cognitive Attention Receiving Spaces (CARSs), each having points, nodes or subregions that are hierarchically and/or spatial-wise organized and are clustered together and/or are logically linked so as to thereby be cross-associated, one relative to a next in accordance with predefined space specifications;
where the transportable first data processing device is configured to;(a) to automatically interact with the attention modeling system wirelessly and/or by way of wire, directly or indirectly where the automatic interaction includes at least one of; automatically identifying the first user to the attention modeling system; automatically indicating a current location of the first user to the attention modeling system; automatically transmitting to the attention modeling system, signals representing attention indicative and/or context indicative attributes of the first user; automatically transmitting to the attention modeling system, signals representing biological and/or body movement/gesturing attributes of the first user; automatically transmitting to the attention modeling system, signals representing implicit or explicit votes of the first user; automatically receiving from the attention modeling system, signals representing output data produced by the attention modeling system where the represented output data includes data cross-correlated to current or relatively recent attention giving activities of the first user and/or current or relatively recent context indicating attributes of the first user. - View Dependent Claims (48, 49)
- A non-abstract and transportable first data processing device usable by a respective first user who can transport the device, the device being operatively couplable to, and when being or immediately after being transported, an attention modeling system that has access to signals representing attention indicative and/or context indicative attributes of the first user, the attention modeling system further having access to further signals representing attention indicative and/or context indicative attributes of plural other users of the attention modeling system, the attention modeling system yet further maintaining in a system memory of the attention modeling system, representations of one or more Cognitive Attention Receiving Spaces (CARSs), each having points, nodes or subregions that are hierarchically and/or spatial-wise organized and are clustered together and/or are logically linked so as to thereby be cross-associated, one relative to a next in accordance with predefined space specifications;
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50-53. -53. (canceled)
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54-58. -58. (canceled)
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68. (canceled)
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69-73. -73. (canceled)
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74. :
- A non-abstract, machine-implemented and automated process comprising;
providing empowerment to a first user, whose states and attention giving activities can be monitored by one or more local devices, the provided empowerment enabling for reporting signals representing monitored states and/or activities of that first user to be received and/or recognized by a remote Social-Topical Adaptive Networking (STAN) system where such received and/or recognized reporting signals induce an automated carrying out in the remote Social-Topical Adaptive Networking (STAN) system of an automated informational resource lookup operation on behalf of the first user where the automated informational resource lookup operation includes; (a) an automatic identifying of one or more of points, nodes or subregions in a system-maintained topic space which cross-correlate strongly with received ones of the reporting signals representing monitored states and/or activities of the first user; where said automatic identifying includes use of a machine stored, topic primitive object (TPO) representing data structure, where the stored data structure includes; a parent identifying section that identifies at least one of; a parent point, parent node and/or parent subregion in a data-represented and hierarchical topic space, where the hierarchical topic space is defined by a hierarchical tree structure and the identified parent among said parent point, parent node and/or parent subregion resides on the hierarchical tree structure and the parent identifying section points to a location on the hierarchical tree structure where the parent is located; a parent point, parent node and/or parent subregion in a data-represented and spatial topic space, where the spatial topic space is defined by a multi-dimensional coordinates frame structure and the identified parent among said parent point, node and/or subregion has a unique set of coordinates within the coordinates frame structure and the parent identifying section points to a location in the multi-dimensional coordinates frame structure where the parent is located; a parent point, parent node and/or parent subregion in a data-represented and spatial branch space of a grandparent region or point of topic space, where the spatial branch space is defined by a multi-dimensional branch coordinates frame structure and the identified parent among said parent point, node and/or subregion has a unique set of coordinates within the branch coordinates frame structure and the parent identifying section points to a location in the multi-dimensional branch coordinates frame structure where the parent is located; and a null parent if there is no current parent for the represented TPO. - View Dependent Claims (75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96)
- A non-abstract, machine-implemented and automated process comprising;
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97. :
- A non-abstract, machine-implemented and automated process comprising;
providing empowerment to a first user, whose states and/or attention giving activities can be monitored by one or more local devices proximate to the first user, the provided empowerment enabling for reporting signals representing monitored states and/or activities of that first user to be received and/or recognized by a Social-Topical Adaptive Networking (STAN) system where such received and/or recognized reporting signals induce an automated carrying out in the remote Social-Topical Adaptive Networking (STAN) system of an automated, likely-context determining operation and/or an automated, likely-to-be-welcomed, informational resource lookup operation on behalf of the first user where the automated, likely-context determining operation and/or an automated, likely-to-be-welcomed, informational resource lookup operation includes; (a) an automatic identifying of one or more of points, nodes or subregions in a system-maintained first cognitions representing space which may cross-correlate with received ones of the reporting signals representing monitored states and/or attention giving activities of the first user; where said automatic identifying includes use of a machine stored and pre-categorized, first cognition-representing primitive object (CRPO) having a respective first data structure, where the stored data structure includes; a cognition expression type identifying section that identifies at least one of; a type of cognition that is apparently being expressed by corresponding cognition expression data, the type being selected from a predefined group of cognition types, including for example, sights, sounds, smells, tastes, touchings, kinetics, emotions, textual material, physical context representing material and hybrid cognitions composed of two or more of primitive types of cognitions; a form of cognition expression among different ones of predefined forms in which the corresponding cognition expression data can be expressed, including for example, plain text encoding, rich text encoding, hypertext encoding, meta-code encoding; and a possible subtype of cognition that is apparently being expressed by the corresponding cognition expression data, the subtype being selected from a predefined group of cognition subtypes, including for example, cognitions that are directed to a limbic part of a human brain, cognitions that are directed to a neo-cortical part of the human brain, cognitions that are directed to a reptilian-like survival maintaining part of the human brain, cognitions that are specifically directed to a portion of a right hemisphere of the human brain, cognitions that are specifically directed to a portion of a left hemisphere hemisphere of the human brain, cognitions that are directed to parts of the human brain involved with appreciation of time and/or spatial concepts;
cognitions that are directed to parts of the human brain involved with appreciation of hybrids of one or more of topic concepts, context concepts, keyword concepts, and social dynamic concepts; anda cognition expression data section that provides data expressing the corresponding cognition expression. - View Dependent Claims (98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111)
- A non-abstract, machine-implemented and automated process comprising;
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112-126. -126. (canceled)
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127. :
- A non-abstract, user interface driving system configured to present social topical information to a corresponding user, the system comprising;
a social entities representing module configured to present to the user first objects representing system-tracked social entities; and a topics nodes and/or subregions representing module configured to present to the user second objects representing and/or logically linked to system-tracked, topic related data objects. - View Dependent Claims (128, 129)
- A non-abstract, user interface driving system configured to present social topical information to a corresponding user, the system comprising;
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130. (canceled)
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131. :
- A non-abstract, machine-implemented and contextually-sensitive, user-servicing method comprising;
(a) causing an automatically repeated collecting of first user state indicating and/or state predicting signals by an automated machine system where the collected signals can indicate at least one of; (a.1) a recent or current state of a first user of the automated machine system or a recent or current change of state of the first user; (a.2) a planned future state of the first user, wherein the planned future state may include one or more planned future locations of the first user; (a.3) an expected future state of the first user based on recorded habits and/or routines of the first user and/or associated likes and dislikes of the habits and/or routines; and (a.4) an expected future social dynamics state of the first user based on recorded likely social dynamics states of the first user and/or associated likes and dislikes of the likely social dynamics states; (b) causing an automatically repeated determining by the automated machine system of one or more likely current or recent or future contextual states of the first user and/or of one or more current or likely future active profiles of the first user based on the collecting of the first user state indicating and/or predicting signals; and (c) causing an automatically repeated determining by the automated machine system of one or more likely to be currently or in the future likely to be welcomed or desired-by-the-first user servicings or tools or offerings or suggestions to be provided to the first user and/or a currently or in the future likely to be welcomed or desired-by-the-first user presentation format for presenting at least one of such servicings, tools, offerings or suggestions based on the determining of the one or more likely current or recent or future contextual states of the first user and/or of the determining of the one or more current or likely future active profiles of the first user, wherein said offerings or suggestions may include one or more of marketing messages, marketing communications and marketing promotions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 35, 36, 40, 41, 42, 59, 60, 61, 62, 63, 64, 65, 66, 67, 132, 133, 134, 135, 136, 137, 138, 139, 140)
- A non-abstract, machine-implemented and contextually-sensitive, user-servicing method comprising;
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141. :
- A non-abstract, contextually-sensitive, user-servicing machine system that is usable by at least a first user of the machine system where the machine system is configured to filter through currently or future-wise available or creatable activity opportunities for the first user and to automatically pick out for the first user those of the activity opportunities that are more likely to be considered by the first user as better ones of such activity opportunities based on current, and/or in the future, limited abilities, time-availabilities, resources, desires of the first user and/or those of other users, said machine system comprising;
a contextual state determining engine configured to automatically repeatedly determine one or more current and/or future likely contextual states of the first user; and one or more other state determining engines each configured to automatically repeatedly determine one or more likely current and/or future further states other than, or hybridized with likely contextual states of the first user. - View Dependent Claims (142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159)
- A non-abstract, contextually-sensitive, user-servicing machine system that is usable by at least a first user of the machine system where the machine system is configured to filter through currently or future-wise available or creatable activity opportunities for the first user and to automatically pick out for the first user those of the activity opportunities that are more likely to be considered by the first user as better ones of such activity opportunities based on current, and/or in the future, limited abilities, time-availabilities, resources, desires of the first user and/or those of other users, said machine system comprising;
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160. :
- A non-abstract, contextual states determining machine system configured to determine one or more current and/or near-future likely contextual states of at least a first user of the machine system, said machine system comprising;
a contexts organizing space maintained as stored data in a memory of the machine system and as defining at least one of a hierarchical organizing and a spatial-clustering organizing of points, nodes or subregions which respectively represent possible coarse and finer resolution ones of contextual states of users of the machine system; and an organization controlling part configured to revise at least one of the hierarchical organizing and the spatial-clustering organizing of the points, nodes or subregions of the contexts organizing space as defined by the stored data; wherein the hierarchical organizing of the points, nodes or subregions, if present, includes a first hierarchical structure defining at least parent-to-child hierarchical relations between so-corresponding points, nodes or subregions of the contexts organizing space; and wherein the spatial-clustering organizing of the points, nodes or subregions, if present, includes a first spatial structure defining at least in-space virtual distances, as measured along at least one virtual dimension of the contexts organizing space and as between so-corresponding points, nodes or subregions of the contexts organizing space. - View Dependent Claims (161, 162, 163, 164)
- A non-abstract, contextual states determining machine system configured to determine one or more current and/or near-future likely contextual states of at least a first user of the machine system, said machine system comprising;
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165. :
- A non-abstract, contextual states determining machine system configured to automatically repeatedly determine one or more current and/or near-future likely contextual states of at least a first user of the machine system, said machine system comprising;
a contexts organizing space maintained as stored data in a memory of the machine system and as defining at least one of a hierarchical organizing and a spatial-clustering organizing of points, nodes or subregions which respectively represent possible coarse and finer resolution ones of contextual states of users of the machine system; and a signals input section configured to receive at least two of automatically repeatedly supplied input signals within an input signals group consisting of; current focus indicator (CFi) signals indicative of current focusing activities of the first user; recent user-state-reporting signals other than CFi'"'"'s related to the user and the user'"'"'s recent state; normalized and/or translated and/or supplemented and/or clustered and/or categorized CFi signals automatically generated by the machine system form the current focus indicator (CFi) signals of the first user; currently active user profile signals of the first user; currently or recently generated state signals generated by one or more knowledge base rules (KBR'"'"'s) modules of the machine system; currently active user planning signals of the first user; current physical surround indicating signals of the first user; and a default context resetting signal; and a pointers improving section interposed between the signals input section and the contexts organizing space and configured to automatically repeatedly test for next and better than current, cross-correlations, where the current cross-correlations are those between the at least two of the automatically repeatedly supplied input signals of the input signals group and currently pointed to and thus determined as most likely contextual states of the first user as respectively represented by currently pointed-to points, nodes or subregions of the contexts organizing space and where the next and better than current, cross-correlations are those between the at least two of the automatically repeatedly supplied input signals of the input signals group and next determined as next better resolution or next and less erroneous contextual states wherein substitution of the next determined as better or less erroneous contextual states in place of the currently determined contextual states provide for progressively improved resolution or less erroneous cross-correlations between the at least two of the automatically repeatedly supplied input signals of the input signals group and the possible contextual states respectively represented by the points, nodes or subregions of the contexts organizing space, thereby triangulating in on finer resolution ones, or shifting to less erroneous ones, of the likely contextual states of the first user. - View Dependent Claims (166)
- A non-abstract, contextual states determining machine system configured to automatically repeatedly determine one or more current and/or near-future likely contextual states of at least a first user of the machine system, said machine system comprising;
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167. :
- A non-abstract and machine-implemented, contextual states determining method comprising;
(a) automatically determining one or more most likely current contexts for the user; (b) automatically determining, based on the determined current context(s), one or more currently likely profiles to be activated for the user; and (c) automatically identifying, based on the currently activated one or more profiles and on user-state reporting signals recently received for the user and reporting recent attention giving activities of the user and/or reporting recent physical context and/or biometric states of the user, one or more points, nodes or subregions and/or clustering center points of a pure or hybrid Cognitive Attention Receiving Space to be currently pointed-to. - View Dependent Claims (168, 169)
- A non-abstract and machine-implemented, contextual states determining method comprising;
Specification