CN116486803A - Information interaction method, system, electronic equipment, vehicle and storage medium - Google Patents

Information interaction method, system, electronic equipment, vehicle and storage medium Download PDF

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Publication number
CN116486803A
CN116486803A CN202310358699.8A CN202310358699A CN116486803A CN 116486803 A CN116486803 A CN 116486803A CN 202310358699 A CN202310358699 A CN 202310358699A CN 116486803 A CN116486803 A CN 116486803A
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China
Prior art keywords
user
voice
feedback
intention
information
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黄佳
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Great Wall Motor Co Ltd
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Great Wall Motor Co Ltd
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Priority to CN202310358699.8A priority Critical patent/CN116486803A/en
Publication of CN116486803A publication Critical patent/CN116486803A/en
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/26—Speech to text systems
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/28—Constructional details of speech recognition systems
    • G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/60—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/225—Feedback of the input speech

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The embodiment of the application provides an information interaction method, an information interaction system, electronic equipment, a vehicle and a storage medium, wherein the method comprises the following steps: acquiring a first voice of a user and recognizing the first voice; judging whether the user has intention of feedback problem or not according to the identification result; outputting a clear speech for confirming the intention in case that it is judged that the user has the intention of the feedback problem; and responding to the detected confirmation instruction of the user, and displaying a problem feedback page, so that the potential problem feedback intention of the user is actively identified.

Description

Information interaction method, system, electronic equipment, vehicle and storage medium
Technical Field
The application relates to the technical field of voice recognition, in particular to an information interaction method, an information interaction system, vehicle electronic equipment and a storage medium.
Background
In the prior art, various problems fed back by a user can be received through a terminal, the vehicle feedback of the vehicle-mounted terminal can be classified into a branch function of a virtual assistant function, and the main feedback modes comprise pure voice problem feedback, pure text problem feedback, mixed problem feedback and the like. The user feedback function service provided by the vehicle-mounted terminal mainly shows the following modes: fixed entry plus plain text question feedback or mixed question feedback, however, whatever form of question feedback, cannot actively identify the user's potential question feedback intent.
In order to solve the above problems, the present application proposes an information interaction method.
Disclosure of Invention
In view of the above problems, embodiments of the present application provide an information interaction method, system, vehicle and storage medium, so as to solve the current situation that a potential feedback intention of a user cannot be actively identified in the prior art.
In a first aspect of an embodiment of the present application, there is provided an information interaction method, including:
acquiring a first voice of a user and recognizing the first voice;
judging whether the user has intention of feedback problem or not according to the identification result;
outputting a clear speech for confirming the intention in case that it is judged that the user has the intention of the feedback problem;
and responding to the detected confirmation instruction of the user, and displaying a problem feedback page.
Optionally, the determining, according to the identification result, whether the user has an intention to feed back the problem includes:
determining the intention of the user with feedback problems under the condition that the text information corresponding to the first voice is recognized to contain a preset target intention and/or the emotion of the user when the user sends the first voice is negative emotion;
and under the condition that the text information corresponding to the first voice does not contain the preset target intention and the emotion of the user when the user sends the first voice is not negative emotion, determining that the user has no intention of feedback problem.
Optionally, a start feedback key or a voice key corresponding to the start feedback key is displayed at a first preset position of the problem feedback page; the information interaction method further comprises the following steps:
and responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, jumping from the problem feedback page to a problem acquisition page, and acquiring the feedback information of the user.
Optionally, a completion feedback key is displayed at a second preset position of the problem acquisition page; the collecting feedback information of the user comprises the following steps:
acquiring a second voice of a user;
responding to the detected triggering operation of the completion feedback key, and jumping from the problem acquisition page to a voice recognition page;
and recognizing the second voice to obtain text information corresponding to the second voice, and displaying the text information at a third preset position of the voice recognition page.
Optionally, the method further comprises:
responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, and acquiring vehicle condition information of a vehicle when the user sends out the second voice and account information of the user, wherein the vehicle condition information comprises at least one of the following steps: the speed of the vehicle, the driving mileage data and the geographic position information.
Optionally, the method further comprises:
and uploading the second voice, text information corresponding to the second voice, vehicle condition information of the vehicle when the user sends the second voice and account information of the user to a background server.
In a second aspect of embodiments of the present application, there is provided an information interaction system, the system including:
the acquisition module is used for acquiring first voice of a user and identifying the first voice;
the judging module is used for judging whether the user has the intention of the feedback problem or not according to the identification result;
the output module is used for outputting a clear speech operation for confirming the intention under the condition that the intention of the user with feedback problems is judged;
and the display module is used for responding to the detected confirmation instruction of the user and displaying the problem feedback page.
Optionally, the determining, according to the identification result, whether the user has an intention of feeding back a problem, and the determining module includes:
the first determining submodule is used for determining the intention of the user with feedback problems under the condition that the text information corresponding to the first voice is recognized to contain a preset target intention and/or the emotion of the user when the user sends the first voice is a negative emotion;
and the second determining submodule is used for determining that the user does not have the intention of feedback problems under the condition that the text information corresponding to the first voice does not contain the preset target intention and the emotion of the user when the user sends the first voice is not negative emotion.
Optionally, a start feedback key or a voice key corresponding to the start feedback key is displayed at a first preset position of the problem feedback page; the information interaction method further comprises the following steps:
and the acquisition sub-module is used for responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, jumping from the problem feedback page to a problem acquisition page and acquiring the feedback information of the user.
Optionally, a completion feedback key is displayed at a second preset position of the problem acquisition page; the step of collecting feedback information of the user comprises the following steps:
the first acquisition sub-module is used for acquiring second voice of the user;
the skip sub-module is used for responding to the detected triggering operation of the completion feedback key and skipping from the problem acquisition page to the voice recognition page;
and the recognition sub-module is used for recognizing the second voice to obtain text information corresponding to the second voice, and displaying the text information at a third preset position of the voice recognition page.
Optionally, the method further comprises:
the second obtaining sub-module is configured to obtain, in response to a detected trigger operation for the start feedback key or a voice key corresponding to the start feedback key, vehicle condition information of a vehicle when the user sends the second voice and account information of the user, where the vehicle condition information includes at least one of the following: the speed of the vehicle, the driving mileage data and the geographic position information.
Optionally, the method further comprises:
and the uploading sub-module is used for uploading the second voice, the text information corresponding to the second voice, the vehicle condition information of the vehicle when the user sends the second voice and the account information of the user to a background server.
In a third aspect of the embodiments of the present application, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory, where the processor executes the computer program to implement the information interaction method according to the first aspect of the embodiments of the present application.
In a fourth aspect of the embodiments of the present application, a vehicle is provided, where the vehicle includes the electronic device according to the third aspect of the embodiments of the present application.
In a fifth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program/instruction which, when executed by a processor, implements the information interaction method according to the first aspect of embodiments of the present application.
The application has the following advantages:
the embodiment of the application provides an information interaction method, which comprises the following steps: acquiring a first voice of a user and recognizing the first voice; judging whether the user has intention of feedback problem or not according to the identification result; outputting a clear speech for confirming the intention in a case that it is determined that the user has the intention of the feedback problem; and responding to the detected confirmation instruction of the user, and displaying a problem feedback page, so that the potential problem feedback intention of the user is actively identified.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a step flowchart of an information interaction method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a problem feedback page according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a problem collection page according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a speech recognition page according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a background problem management page according to an embodiment of the present application;
fig. 6 is a schematic diagram of a background marking operation page provided in an embodiment of the present application;
FIG. 7 is a schematic diagram of an information interaction system according to an embodiment of the present application;
fig. 8 is a schematic diagram of a vehicle according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In a first aspect of the embodiments of the present application, an information interaction method is provided, where the method is applied to an on-vehicle multimedia host of a vehicle, and referring to fig. 1, a flowchart of steps of an information processing method provided in an embodiment of the present application is provided, where the method includes:
step S101, acquiring a first voice of a user and recognizing the first voice;
in this embodiment of the present application, the voice assistant in the vehicle-mounted multimedia host may be awakened in advance, specifically, the voice assistant may be awakened by manually clicking a physical key for opening the voice assistant on the steering wheel of the vehicle, or may be awakened by voice under the condition that the microphone is opened. The voice wake-up mode can be that the user directly speaks wake-up words such as 'hello, small European', 'hello, euler', and the like, after the voice assistant is waken up, the voice assistant can continuously collect first voice sent by the user, the collected first voice sent by the user is identified through a voice identification technology, and text information corresponding to the first voice is obtained.
For the wake-up-free mode, the voice assistant in the vehicle-mounted multimedia host is in a monitoring state for a long time in the background, so that the voice assistant does not need to be awakened in advance, the first voice sent by the user can be collected in real time, the first voice sent by the user is identified through a voice identification technology, and text information corresponding to the first voice is obtained.
Step S102, judging whether the user has intention of feedback problem or not according to the identification result;
and determining the intention of the user with feedback problems under the condition that the text information corresponding to the first voice is recognized to contain a preset target intention and/or the emotion of the user when the user sends the first voice is negative emotion.
And under the condition that the text information corresponding to the first voice does not contain the preset target intention and the emotion of the user when the user sends the first voice is not negative emotion, determining that the user has no intention of feedback problem.
Specifically, in the embodiment of the present application, the generalized word corresponding to the target intent may be obtained by setting the target intent in the question feedback word stock and simultaneously using the existing data generalization means. In practical application, the target intention is provided with a target keyword corresponding to the target intention. When recognizing that the text information corresponding to the first voice sent by the user has words which hit the target keywords in the target intention or the generalized words corresponding to the target keywords, determining the intention of the user with feedback problems. If the text information corresponding to the first voice sent by the user is identified that no word hits the target keyword in the target intention or the generalized word corresponding to the target keyword, determining that the user has no intention of feedback problem at the moment. For example: the "difficult to use" is used as a preset target keyword, the generalization word of "difficult to use" can be "good and difficult to use," poor to use, too difficult to use, "and the like, when the text information corresponding to the first voice sent by the user is" today "and difficult to use, the text information corresponding to the first voice of the user hits the" difficult to use "keyword, and at the moment, the intention of the user with a feedback problem is determined. Or when the text information corresponding to the first voice sent by the user is: if the application is too bad today, the text information corresponding to the first voice of the user hits the generalized word corresponding to the target keyword, and at the moment, the intention of the user with a feedback problem is determined.
In the application, text information corresponding to the first voice of the user can be identified through training the identification model. Specifically, collecting enough text data, wherein the text data comprises text data with feedback intention and without feedback intention; corpus cleaning is carried out on the data so as to improve the quality and reliability of text data; labeling the cleaned text data, and marking corresponding labels, such as 'with feedback intention' or 'without feedback intention'; constructing a neural network model, inputting the marked data set into the neural network model for training, so as to obtain an identification model capable of identifying the feedback intention of the user, and inputting the text information corresponding to the collected first voice of the user into the trained identification model, so that whether the user has the intention of feedback problem or not can be identified through the identification model.
Further, in still another preferred embodiment of the present application, the emotion of the user when making the first voice may be identified by training a dialogue emotion recognition model. Specifically, by training a dialogue emotion recognition model, emotion features contained in daily dialogue text of a user are automatically detected, for example: by analyzing the emotion and distribution of the scene, learning the semantics, the word order relation, the vocabulary generalization and the like, the accurate recognition of the corpus emotion of the user is realized.
In an alternative embodiment, the dialogue emotion recognition model not only can recognize text information corresponding to the first voice of the user, but also can recognize the pitch, tone, speech speed and the like of the first voice of the user to judge the emotion state of the user at the moment, and when the emotion state of the user is recognized as a negative emotion, the intention of the user with feedback problems is determined.
In another alternative embodiment, the dialogue emotion recognition model may further recognize a face image when the user utters the first voice, for example, determine an emotion state of the user through a change of eyes, mouth, eyebrows, and the like, and determine that the user has an intention of feedback problem when recognizing that the emotion state of the user is a negative emotion.
It can be understood that the dialogue emotion recognition model in the present application can recognize the emotion state of the user in any of the above ways, but in contrast, the dialogue emotion recognition model has an effect of judging the emotion state of the user by recognizing text information corresponding to the first voice of the user better than an effect of recognizing the emotion state of the user by recognizing the pitch, tone, speech speed corresponding to the first voice of the user and an effect of recognizing the emotion state of the user by face images when the first voice is uttered to the user.
Further, when the emotion of the user is recognized as negative emotion at the moment, the user can be initially judged to have feedback intention, and then the user is further confirmed to have feedback intention through semantic clarification, the application is opened, and a problem feedback page is entered, wherein the problem feedback page is shown in fig. 2, in the practical application, a guiding voice prompt text for prompting the user to feed back can be displayed on the problem feedback page, and meanwhile, prompt voice corresponding to the guiding voice prompt text can be played.
Step S103, outputting a clear speech for confirming the intention when the intention of the user with feedback problem is judged;
specifically, in the embodiment of the present application, when it is determined that the user has an intention to feed back a problem, in order to ensure the accuracy of providing the service, it is necessary to further determine whether the user really needs to feed back the problem through semantic clarification.
For example: when the user makes a negative description such as voice that the application is difficult to use/why the touch screen, the key is so bad/how does not react at all, ' the function is too often/too difficult to use/too bad to use the bar, ' the user is playing too much with the bar/why the user is playing too much, why the page is so stuck/the screen is not moving/why the page is not smooth, ' the user is determined to be in a negative emotion at this time, and further the user is asked by voice that the user is asked about how to do the feedback of the problem, if so, the user is asked to say.
And step S104, responding to the detected confirmation instruction of the user, and displaying a question feedback page.
Specifically, when the user is further inquired whether the problem feedback is needed or not, and a confirmation instruction of the user is obtained, the problem feedback page is opened in response to the confirmation instruction of the user.
Further, as shown in the schematic diagram of the problem feedback page in fig. 2, a start feedback key or a voice key corresponding to the start feedback key is displayed at a first preset position on the problem feedback page; further comprises:
responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, and jumping from the problem feedback page to a problem acquisition page;
and collecting feedback information sent by the user under the problem collection page.
In the application, the start feedback key is a virtual key displayed at a first preset position of the voice feedback page, the name of the virtual key is "start feedback", and when a user manually clicks the start feedback key, the user can jump from the voice feedback page to the voice acquisition page; the voice key corresponding to the start feedback key characterizes a voice triggering mode corresponding to the virtual key, and the user can realize the same operation and corresponding effect as the manual clicking of the virtual key by speaking the start feedback through voice.
Fig. 3 is a schematic diagram of a problem collection page provided in an embodiment of the present application, after detecting a triggering operation for the start feedback key or a voice key corresponding to the start feedback key, in response to the detected triggering operation for the start feedback key or the voice key corresponding to the start feedback key, the current page is jumped from the problem feedback page to the problem collection page, and feedback information of a user is collected under the problem collection page.
Further, a completion feedback key is displayed at a second preset position on the problem acquisition page; the collecting feedback information of the user comprises the following steps:
acquiring a second voice of a user; responding to the detected triggering operation of the completion feedback key, and jumping from the problem acquisition page to a voice recognition page; and recognizing the second voice to obtain text information corresponding to the second voice, and displaying the text information at a third preset position of the voice recognition page.
Specifically, a completion feedback key is displayed at a second preset position on the problem acquisition page, after a triggering operation for the completion feedback key is detected, the current page is jumped from the problem acquisition page to a voice recognition page schematic diagram shown in fig. 4 in response to the detected triggering operation for the completion feedback key, and a second voice sent by a user is recognized under the voice recognition page, so that text information corresponding to the second voice is obtained, and the obtained text information is displayed at a third preset position of the voice recognition page, so that the user can confirm or modify the voice feedback text information.
In another preferred embodiment of the present application, after detecting a triggering operation for the start feedback key or a voice key corresponding to the start feedback key, the vehicle condition information and the account information of the user when the user sends the second voice are obtained in response to the detected triggering operation for the start feedback key or the voice key corresponding to the start feedback key, where the vehicle condition information includes at least one of the following: vehicle speed, mileage data, and geographic location information.
In another preferred embodiment of the present application, the second voice, text information corresponding to the second voice, vehicle condition information of the vehicle when the user sends the second voice, and account information of the user are uploaded to a background server, so that staff can label and process problems fed back by the user.
In an optional embodiment of the present application, the background server receives a second voice uploaded by a vehicle-mounted multimedia host of a vehicle, text information corresponding to the second voice, vehicle condition information of the vehicle when the user sends the second voice, and account information of the user, where the vehicle condition information includes at least one of the following: the speed, the driving mileage data and the geographic position information of the vehicle;
further, the second voice of the user is marked on a background problem management page as shown in fig. 5, and the problems are classified according to different categories. The problems can be screened and searched according to keywords, problems, time, vehicle types, emotion and the like.
Furthermore, after the problem fed back by the user is marked, marking and classifying operations can be further performed on the marked problem. Fig. 6 is a schematic diagram of a background marking operation page provided in the present application, where, under the marking operation page, a problem fed back by a user may be marked and classified, for example, emotion, a problem type, etc. may be marked, and may be submitted by clicking a submit button.
Preferably, if the problem feedback is embedded in other applications as an independent feedback function, a screenshot or a screen recording video of a page of the application where the problem occurs when the user sends feedback information can be intercepted, and the intercepted screenshot or screen recording video is displayed on a detail information page.
Further, according to the information displayed in the detail information page, the information fed back by the user is analyzed. Specifically, the problem in the feedback information of the user can be attributed, for example: from the geographic location, it can be analyzed that: a problem is found in a place where a problem is found, such as if a user reports a certain problem, the problem is found in a mountain area in the south, but the problem is not found in a plain area in the north, etc.; from the mileage, it can be analyzed that: for example, certain problems may occur intensively or burst when the user reaches or exceeds a certain mileage range; from the vehicle speed, it can be analyzed that: for example, if some network problems or noise problems are above a certain threshold, the feedback is obvious or even distributed in each vehicle speed domain;
further, according to the account information of the user, inquiring historical feedback information sent by the user, and/or pushing a solution corresponding to the problem fed back by the user to the terminal of the user, specifically, according to the user account information: the user account number of each vehicle is unique, identity information (name, mobile phone number and the like) of the user is stored, if a worker needs to contact the user, the worker can search through the user account number in the background, historical feedback problem information under the account number can be searched through the account number information, and corresponding solutions and the like can be sent to corresponding user terminals according to the contact mode of the user under the account number information.
The embodiment of the application provides an information interaction method, which comprises the following steps: acquiring a first voice of a user and recognizing the first voice; judging whether the user has intention of feedback problem or not according to the identification result; outputting a clear speech for confirming the intention in a case that it is determined that the user has the intention of the feedback problem; and responding to the detected confirmation instruction of the user, and displaying a problem feedback page, so that the potential problem feedback intention of the user is actively identified.
In a second aspect of the embodiments of the present application, there is provided an information interaction system, as shown in fig. 7, the system including:
an acquisition module 201, configured to acquire a first voice of a user and identify the first voice;
a judging module 202, configured to judge whether the user has an intention of feedback problem according to the recognition result;
an output module 203, configured to output a clear speech for confirming the intention if it is determined that the user has the intention of the feedback problem;
and the display module 204 is used for responding to the detected confirmation instruction of the user and displaying a question feedback page.
Optionally, the determining module 203 determines whether the user has an intention to feed back a problem according to the recognition result, and includes:
the first determining submodule is used for determining the intention of the user with feedback problems under the condition that the text information corresponding to the first voice is recognized to contain a preset target intention and/or the emotion of the user when the user sends the first voice is a negative emotion;
and the second determining submodule is used for determining that the user does not have the intention of feedback problems under the condition that the text information corresponding to the first voice does not contain the preset target intention and the emotion of the user when the user sends the first voice is not negative emotion.
Optionally, a start feedback key or a voice key corresponding to the start feedback key is displayed at a first preset position of the problem feedback page; the information interaction method further comprises the following steps:
and the acquisition sub-module is used for responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, jumping from the problem feedback page to a problem acquisition page and acquiring the feedback information of the user.
Optionally, a completion feedback key is displayed at a second preset position of the problem acquisition page; the step of collecting feedback information of the user comprises the following steps:
the first acquisition sub-module is used for acquiring second voice of the user;
the skip sub-module is used for responding to the detected triggering operation of the completion feedback key and skipping from the problem acquisition page to the voice recognition page;
and the recognition sub-module is used for recognizing the second voice to obtain text information corresponding to the second voice, and displaying the text information at a third preset position of the voice recognition page.
Optionally, the method further comprises:
the second obtaining sub-module is configured to obtain, in response to a detected trigger operation for the start feedback key or a voice key corresponding to the start feedback key, vehicle condition information of a vehicle when the user sends the second voice and account information of the user, where the vehicle condition information includes at least one of the following: the speed of the vehicle, the driving mileage data and the geographic position information.
Optionally, the method further comprises:
and the uploading sub-module is used for uploading the second voice, the text information corresponding to the second voice, the vehicle condition information of the vehicle when the user sends the second voice and the account information of the user to a background server.
In a third aspect of the embodiments of the present application, as shown in fig. 8, there is provided an electronic device 100, including a memory 110, a processor 120, and a computer program stored on the memory 110, where the processor 120 executes the computer program to implement the information interaction method according to the first aspect of the embodiments of the present application.
In a fourth aspect of the embodiments of the present application, a vehicle is provided, where the vehicle includes the electronic device according to the third aspect of the embodiments of the present application.
In a fifth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program/instruction which, when executed by a processor, implements the information interaction method according to the first aspect of embodiments of the present application.
Each embodiment in this specification focuses on the differences from other embodiments, and identical and similar parts between the embodiments are all necessary for mutual reference.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail the methods, systems, electronic devices, vehicles and storage media for information interaction, and specific examples have been presented herein to illustrate the principles and embodiments of the present application, the description of the foregoing examples being merely intended to facilitate an understanding of the methods and core ideas of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (10)

1. An information interaction method, characterized in that the method comprises:
acquiring a first voice of a user and recognizing the first voice;
judging whether the user has intention of feedback problem or not according to the identification result;
outputting a clear speech for confirming the intention in case that it is judged that the user has the intention of the feedback problem;
and responding to the detected confirmation instruction of the user, and displaying a problem feedback page.
2. The information interaction method according to claim 1, wherein the determining whether the user has an intention to feed back a problem according to the recognition result comprises:
determining the intention of the user with feedback problems under the condition that the text information corresponding to the first voice is recognized to contain a preset target intention and/or the emotion of the user when the user sends the first voice is negative emotion;
and under the condition that the text information corresponding to the first voice does not contain the preset target intention and the emotion of the user when the user sends the first voice is not negative emotion, determining that the user has no intention of feedback problem.
3. The information interaction method according to claim 1, wherein a start feedback key or a voice key corresponding to the start feedback key is displayed at a first preset position of the question feedback page; the information interaction method further comprises the following steps:
and responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, jumping from the problem feedback page to a problem acquisition page, and acquiring the feedback information of the user.
4. The information interaction method according to claim 3, wherein a completion feedback key is displayed at a second preset position of the problem acquisition page; the collecting feedback information of the user comprises the following steps:
acquiring a second voice of a user;
responding to the detected triggering operation of the completion feedback key, and jumping from the problem acquisition page to a voice recognition page;
and recognizing the second voice to obtain text information corresponding to the second voice, and displaying the text information at a third preset position of the voice recognition page.
5. The information interaction method according to claim 4, further comprising:
responding to the detected triggering operation of the starting feedback key or the voice key corresponding to the starting feedback key, and acquiring vehicle condition information of a vehicle when the user sends out the second voice and account information of the user, wherein the vehicle condition information comprises at least one of the following steps: the speed of the vehicle, the driving mileage data and the geographic position information.
6. The information interaction method according to claim 5, further comprising:
and uploading the second voice, text information corresponding to the second voice, vehicle condition information of the vehicle when the user sends the second voice and account information of the user to a background server.
7. An information interaction system, the system comprising:
the acquisition module is used for acquiring first voice of a user and identifying the first voice;
the judging module is used for judging whether the user has the intention of the feedback problem or not according to the identification result;
the output module is used for outputting a clear speech operation for confirming the intention under the condition that the intention of the user with feedback problems is judged;
and the display module is used for responding to the detected confirmation instruction of the user and displaying the problem feedback page.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the information interaction method of any of claims 1 to 6.
9. A vehicle comprising the electronic device of claim 8.
10. A computer readable storage medium having stored thereon a computer program/instruction which, when executed by a processor, implements the information interaction method of any of claims 1 to 6.
CN202310358699.8A 2023-04-06 2023-04-06 Information interaction method, system, electronic equipment, vehicle and storage medium Pending CN116486803A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118588065A (en) * 2024-08-02 2024-09-03 比亚迪股份有限公司 Intention recognition method, electronic device, vehicle and medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118588065A (en) * 2024-08-02 2024-09-03 比亚迪股份有限公司 Intention recognition method, electronic device, vehicle and medium

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