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US 12,763,074 B2Granted
Electronic personal interactive device
AssigneePoltorak Technologies LLC
InventorAlexander I. Poltorak
Life of this patent
Estimating the term…
Abstract
An interface device and method of use, comprising audio and image inputs; a processor for determining topics of interest, and receiving information of interest to the user from a remote resource; an audio-visual output for presenting an anthropomorphic object conveying the received information, having a selectively defined and adaptively alterable mood; an external communication device adapted to remotely communicate at least a voice conversation with a human user of the personal interface device. Also provided is a system and method adapted to receive logic for, synthesize, and engage in conversation dependent on received conversational logic and a personality.
Claims18
A method comprising:
- determining a topic of interest to a user, based on a natural language input from the user;
- automatically determining a context of at least one of the user and an activity of the user, by analyzing with at least one automated processor (a) at least one of a plurality of user-specific data inputs, (b) a stored history of past interactions with the user, and (c) a stored user profile associated with the user;
- automatically communicating the determined topic of interest to the user through a communication port to a remote server;
- automatically receiving in real time, at least one unit of information stored in the remote server dependent on the topic of interest through the communication port without requiring an express request from the user;
- automatically presenting a natural language output controlled by the at least one automated processor using an automated conversational agent comprising an anthropomorphic object configured to engage in a context-appropriate interactive spoken natural language conversation relating to the topic of interest according to conversational logic, and employing a learning system that is adaptive and changes internally as a consequence of experience, conveying the received at least one unit of information to the user in a manner dependent on the determined context of the at least one of the user and the activity of the user,
- said automatically presenting comprising implementing an automated conversational agent through a human-machine user interface which interacts with the user according to conversational logic;
- and
- brokering an ad or an incentive in real time by communication with a report server without communication of an express request for the ad of the incentive, dependent on at least one of the determined context of the at least one of the user and the activity of the user, and the topic of interest to the user.
5 more elements
A conversational agent system comprising:
- an input port configured to receive a natural language input from a user;
- at least one automated processor employing an adaptive learning system that changes internally as a consequence of experience, configured to:
- analyze at least one of a plurality of user-specific data inputs, a stored history of past interactions with the user, and a stored user profile associated with the user, to determine a context of at least one of the user and an activity of the user;
- control an automated conversational agent to in dependence on the adaptive learning system, and to engage in a context-appropriate interactive natural language conversation with the user comprising the topic of interest;
- and
- broker an ad or an incentive in real time by communication with a report server without communication of an express request for the ad or an incentive, dependent on at least one of the context of at least one of the user and the activity of the user, and the topic of interest;
- a communication port configured to:
- communicate the determined topic of interest to a remote server;
- receive information from the remote server stored in a remote database dependent on the topic of interest;
- receive the brokered ad or incentive;
- and
- a human-machine user interface comprising the automated conversational agent which interacts with the user according to natural language conversational logic to present the received ad or incentive and received information to the user in a manner dependent on the context of at least one of the user and the activity of the user.
9 more elements
A non-transitory computer readable medium, containing instructions for controlling at least one automated processor, comprising:
- instructions for determining a topic of interest to a user, based on a natural language input from the user;
- instructions for determining a context of at least one of the user and an activity of the user, by analyzing with at least one automated processor of at least one of a plurality of user-specific data inputs, a stored history of past interactions with the user, and a stored user profile associated with the user;
- instructions for communicating the determined topic of interest to the user through a communication port to a remote server;
- instructions for receiving information stored in the remote server dependent on the topic of interest through the communication port;
- instructions for brokering an ad or incentive in real time personalized based on the topic of interest selected in dependence on the context of at least one of the user and the activity of the user;
- instructions for presenting a natural language output and employing an adaptive learning system that changes internally as a consequence of experience, conveying the received information in a manner dependent on the context of at least one of the user and the activity of the user, and the ad or incentive to the user;
- instructions for implementing a conversational agent through a human-machine user interface which interacts with the user according to conversational logic;
- and,
- instructions for controlling the automated conversational agent to engage in a context-appropriate interactive natural language conversation with the user comprising the topic of interest.
6 more elements
Dependencies are inferred from the claim text.