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AR-based intelligent conversation method and device

A smart call and phone number technology, applied in the field of information processing, can solve problems such as limitations of functions and training methods, poor physical examination of users, etc., and achieve the effect of improving user experience and convenient dialogue intervention

Active Publication Date: 2021-01-29
BEIJING MORAN COGNITIVE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the functions and training methods of voice assistants are relatively limited, resulting in poor physical examination for users

Method used

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  • AR-based intelligent conversation method and device
  • AR-based intelligent conversation method and device
  • AR-based intelligent conversation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] refer to figure 1 , Embodiment 1 of the present invention provides a training method for an automated assistant, characterized in that:

[0035] Step 101, collecting calling phone number information at the time of incoming calls, classifying and storing the calling numbers, and setting a calling number attribute matching relationship table for the calling numbers;

[0036] Step 102, collecting call voice information, and classifying and storing the voice information according to the calling phone number;

[0037] Step 103, identifying the voice information, distinguishing the dialogue subject, and marking the dialogue data in the voice information according to the telephone number corresponding to the dialogue subject;

[0038] Wherein step 103 further includes, storing the dialogue data in the text form after marking in the call-in data resource library, wherein the caller's phone number is used as the primary index, and the call end time of the call-in phone is taken...

Embodiment 2

[0095] refer to image 3, on the basis of Embodiment 1, Embodiment 2 provides an intelligent response method based on identity confirmation, wherein the method includes but is not limited to:

[0096] Step 301, receiving call information, and determining the calling phone number according to the call information;

[0097] Step 302: Obtain attribute information of the calling phone number according to the calling phone number;

[0098] Step 303, judging whether the attribute information of the calling phone number belongs to the first attribute category; if the attribute information of the calling phone number belongs to the first attribute category, perform step 305, if the attribute information of the calling phone number does not belongs to the first attribute category, go to step 304;

[0099] Step 304, start the first timer, if the first timer expires and the user does not answer, execute step 305;

[0100] Step 305, perform call takeover, and determine the logic of the...

Embodiment 3

[0125] refer to Figure 5 , on the basis of the foregoing embodiments, Embodiment 3 of the present invention also provides an automatic learning method for a voice assistant;

[0126] Step 501, collecting the information of the called phone number when making an outgoing call, obtaining the called number of the outgoing call, and determining the number attribute of the called number;

[0127] Step 502, storing the call voice information after the call is connected, and classifying and storing the call voice information according to the called phone number;

[0128] Step 503, identifying the voice information, distinguishing the dialogue subject, and marking the dialogue data in the voice information according to the telephone number corresponding to the dialogue subject;

[0129] Step 504, query the application log to determine whether there is an application operation record and / or application notification record within the first predetermined time range before the call star...

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PUM

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Abstract

The invention discloses an AR-based intelligent call method. The method comprises the steps: collecting scene information of a position area where a user is located in real time through augmented reality AR equipment; determining the type of the augmented reality AR equipment, and determining one or more candidate target objects based on the type of the augmented reality AR equipment; obtaining attribute information of the candidate target object, and starting a first association logic based on the attribute information of the candidate target object; determining a to-be-enabled first call task logic through the first association logic according to the attribute information of the candidate target object; determining a telephone number corresponding to the candidate target according to theattribute information of the candidate target, and initiating a call to the telephone number through the first call task logic. Through the method provided by the invention, the user experience can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of information processing technologies, and in particular, to an AR-based smart call method and device. Background technique [0002] With the development and popularization of computer technology, intelligent technologies such as human-computer interaction provide convenient and efficient services in all aspects of people's lives. Human-computer interaction HCI (Human-Computer Interaction) technology refers to the technology of realizing human-computer dialogue in an effective way through computer input and output devices. At present, the functions and training methods of voice assistants are relatively limited, resulting in poor physical examination for users. How to optimize the automatic learning ability of voice assistants and the ability to automatically handle user tasks has become an urgent problem to be solved. Contents of the invention [0003] Aiming at the problems in the prior ar...

Claims

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Application Information

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IPC IPC(8): H04M3/493G10L15/22G06F3/16G06Q50/12
CPCG06F3/16G06Q50/12G10L15/22G10L2015/223H04M3/4936
Inventor 李国华张伟萌
Owner BEIJING MORAN COGNITIVE TECH CO LTD
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