MULTI-LEVEL CONTROL, VARIABLE ACCESS, MULTI-USER CONTEXTUAL INTELLIGENT COMMUNICATION PLATFORM
First Claim
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1. A multi-level control, variable access, multi-user computer-implemented system adapted for providing on a network, predictably useful, contextually intelligent information among network-connected devices comprising:
- a first control level having a first control level user, first level network-connected devices and the first control level user adapted to control access to said system;
a second control level having N second control level users, where N is an integer, second level network-connected devices, access to the second control level being controlled by said first control level user and each of N second control level users having access to one or more of said second level network-connected devices;
a third control level having m third control level users, where m is an integer, and the third control level being controlled byproviding a first user mobile communication device;
associating said device with a first user;
providing a server that is in communication with said device;
providing a relationship management system that resides in said server and populating said relationship management system with historical demographic data for said first user;
providing sensor input data from said first user mobile communication device to said server when said first user is in said first user current context;
said sensor input data including data corresponding to a current location of said first user mobile communication device and at least data corresponding to one or more of the group consisting of;
current activity of said first user, mental state of said first user, physical state of said first user, mode of travel of said first user, direction of travel of said first user, speed of travel of said first user, level of engagement of said first user in said first user current context, surrounding environment of said first user in said first user current context, identity of one or more persons in addition to said first user and who are nearby said first user in said first user current context, identity of at least one mobile device other than said first user mobile communication device and that is nearby said first user mobile communication device in said first user current context;
providing said sensor input data from said first user mobile communication device to create acquired first user current data;
capturing, by said first user mobile communication device through an image recognition application, real-time image data to create first user captured real-time image data for said first user current context;
generating first user current contextual data for said first user from said acquired first user current data and from said first user captured real-time image data for said first user current context;
gathering said first user current contextual data to create said first user current contextual data corresponding to said first user'"'"'s current context;
uploading said first user current contextual data corresponding to said first user'"'"'s current context via a wide area mobile communication network to said server;
matching said first user current contextual data corresponding to said first user'"'"'s current context with said first user historical, demographic and environmental data;
combining and processing in the relationship management system the first user current contextual data, current environmental data and historical demographic data to define a message relevant to the first user while the first user is in the current context;
generating feedback data for said first user that is contextually relevant to said first user'"'"'s current context and that is predictably useful to said first user as said first user enters a said new context to form first user useful feedback data; and
,transmitting to and displaying on said first user mobile communication device said first user useful feedback data to provide said contextually intelligent mobile information.
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Abstract
An interactive, electronic network that enables multi-level control, variable access, multi-user communications of real-time contextually relevant data or information among network-connected devices, and actions based on those communications, as the network-connected devices move from one location to another and/or the data/information flow among those devices change over time.
17 Citations
2 Claims
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1. A multi-level control, variable access, multi-user computer-implemented system adapted for providing on a network, predictably useful, contextually intelligent information among network-connected devices comprising:
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a first control level having a first control level user, first level network-connected devices and the first control level user adapted to control access to said system; a second control level having N second control level users, where N is an integer, second level network-connected devices, access to the second control level being controlled by said first control level user and each of N second control level users having access to one or more of said second level network-connected devices; a third control level having m third control level users, where m is an integer, and the third control level being controlled by providing a first user mobile communication device; associating said device with a first user; providing a server that is in communication with said device; providing a relationship management system that resides in said server and populating said relationship management system with historical demographic data for said first user; providing sensor input data from said first user mobile communication device to said server when said first user is in said first user current context; said sensor input data including data corresponding to a current location of said first user mobile communication device and at least data corresponding to one or more of the group consisting of; current activity of said first user, mental state of said first user, physical state of said first user, mode of travel of said first user, direction of travel of said first user, speed of travel of said first user, level of engagement of said first user in said first user current context, surrounding environment of said first user in said first user current context, identity of one or more persons in addition to said first user and who are nearby said first user in said first user current context, identity of at least one mobile device other than said first user mobile communication device and that is nearby said first user mobile communication device in said first user current context; providing said sensor input data from said first user mobile communication device to create acquired first user current data; capturing, by said first user mobile communication device through an image recognition application, real-time image data to create first user captured real-time image data for said first user current context; generating first user current contextual data for said first user from said acquired first user current data and from said first user captured real-time image data for said first user current context; gathering said first user current contextual data to create said first user current contextual data corresponding to said first user'"'"'s current context; uploading said first user current contextual data corresponding to said first user'"'"'s current context via a wide area mobile communication network to said server; matching said first user current contextual data corresponding to said first user'"'"'s current context with said first user historical, demographic and environmental data; combining and processing in the relationship management system the first user current contextual data, current environmental data and historical demographic data to define a message relevant to the first user while the first user is in the current context; generating feedback data for said first user that is contextually relevant to said first user'"'"'s current context and that is predictably useful to said first user as said first user enters a said new context to form first user useful feedback data; and
,transmitting to and displaying on said first user mobile communication device said first user useful feedback data to provide said contextually intelligent mobile information.
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2. A contextually intelligent user information network comprising:
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a plurality of network-connected devices, at least one of said network-connected devices including a sensor, and at least one of said network-connected devices associated with one or more network-connected users; at least one of said network-connected devices movable from a current context to a new context; a network-connected server in communication with said network-connected devices; a relationship management system residing in said server and populated with historical demographic data for each of said network-connected users; said sensor adapted to sense one or more conditions in said current context, to generate current context data corresponding to said conditions and to input said current context data to said server; said conditions corresponding to one or more of the groups of conditions consisting of; real-time image data corresponding to images of objects in one or more user'"'"'s current context; current location of one or more of said network-connected devices; current activity of one or more of said network-connected users; mental state of one or more of said network-connected users; physical state of one or more of said network-connected users; mode of travel of one or more of said network-connected users; direction of travel of one or more of said network-connected users; speed of travel of one or more of said network-connected users; level of engagement of one or more of said network-connected users in said current context; surrounding environment of one or more of said network-connected users in said current context; identity of one or more nearby persons in said current context; identity of at least one additional; and
,nearby mobile device in said current context; whereby the relationship management system is adapted to match said historical demographic data with said current context data for each of said one or more network-connected users, and to provide to each of the network-connected devices associated with each of the network-connected users predictably useful, contextually intelligent mobile information as each of the network-connected users enters a new context.
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Specification