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Method and apparatus for computer-aided persuasion system based on artificial intelligence

Active Publication Date: 2022-01-07
LUCAS GC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The lack of interactive integration in current computer systems greatly reduces the effectiveness of persuasion techniques

Method used

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  • Method and apparatus for computer-aided persuasion system based on artificial intelligence
  • Method and apparatus for computer-aided persuasion system based on artificial intelligence
  • Method and apparatus for computer-aided persuasion system based on artificial intelligence

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Embodiment Construction

[0017] Reference will now be made in detail to some embodiments of the invention, examples of which are illustrated in the accompanying drawings.

[0018] figure 1 Exemplary diagrams showing different computer persuasion systems including an AI-based computer-aided persuasion system (CAPS) according to an embodiment of the present invention. In a typical persuasive communication, there are three main components, a persuader such as an agent 102 , a persuadee such as a target 103 , and a subject of persuasion such as a subject 104 . Target 103 refers to the entity or group of entities that the persuasion attempt is intended to target, such as consumers, students, or voters. Agency 102 refers to an entity responsible for designing and constructing an object's persuasion attempt, such as a company responsible for an advertising campaign, an individual salesperson, or a teacher. Objects 104 are topics of persuasion such as products, services, votes, learning concepts or skills. ...

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PUM

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Abstract

The present invention provides methods and systems for AI-based computer-aided persuasion systems (CAPS). CAPS obtains object-specific input from both the target and the agent, dynamically generating persuasive references based on the analysis of the input. CAPS obtains content output by analyzing proxy audio streams and target audio streams using a recurrent network (RNN) model, obtains a sentiment classifier based on a convolutional neural network (CNN) model, updates the dialogue matrix, and generates persuasion references based on the updated dialogue matrix . Persuasion references are based on acceptance likelihood results generated from dialogue matrices using an RNN model. CAPS also uses a CNN with an input of target big data to generate a target profile, where the target profile includes one or more objects, and where an agent is selected based on the generated profile and the one or more selected objects.

Description

technical field [0001] The present invention generally relates to a persuasion system, and more particularly, to a computer-aided persuasion system. Background technique [0002] Persuasion is an attempt to change another's attitude or behavior, or both, without using coercion or deception. Much persuasion research has been done on consumer behavior when designing effective marketing and sales campaigns. With the rapid development of computer technology, the theory of mind of persuasion has been applied to computer technology. Persuasion has traditionally been classified into three categories, namely, interpersonal persuasion, computer-mediated persuasion, and human-computer persuasion. Interpersonal persuasion occurs when people interact with each other. Interpersonal communication includes verbal and non-verbal forms of behavior, personal feedback, consistency of behavior, and intentions to change the attitudes and / or behaviors of others. The development of computer te...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N20/00G10L15/22G10L25/63
CPCG06N3/049G06N3/08G06N20/00G10L25/63G10L15/22G06N3/045G06F18/24H04M3/5183H04M3/5175H04M2203/357G10L2015/225G10L15/16G06N3/044G10L15/26
Inventor 黃宏灿李明桦
Owner LUCAS GC LTD