CN111340658A - Robot interaction system and method for legal consultation - Google Patents
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Abstract
The invention relates to the technical field of legal consultation systems, in particular to a robot interaction system and a method for legal consultation, wherein the method comprises the following steps: an input acquisition step of acquiring user input; a user portrait step, which is portrait for the user according to the user input to obtain the user portrait; an interactive template matching step, namely matching an interactive template according to the user image; an interactive content matching step, namely matching the interactive content according to the context content and the user input; and an interactive result generation step, namely generating an interactive result according to the interactive template and the interactive content. The robot interaction system and method for legal consultation provided by the invention can judge the comprehension ability level of the user according to the input of the user, and further show the consultation result in a form suitable for the comprehension ability level of the user, so that the consultation result is more convenient for the user to understand, and the consultation effect is improved.
Description
Technical Field
The invention relates to the technical field of legal consultation systems, in particular to a robot interaction system and a method for legal consultation.
Background
With the continuous improvement of national legal system and the continuous enhancement of national legal consciousness, people increasingly feel the importance of solving problems by legal means, and the demands of people for acquiring legal knowledge and solving legal problems are continuously increased.
Due to the messy information source of the traditional legal service industry, a party generally lacks an effective way to find a proper lawyer, and usually needs to go to a person known by a law firm or a lawyer recommended by the law firm, so that a great deal of time and energy are consumed, and a satisfactory answer is not necessarily obtained.
At present, there are some electronic legal consulting systems or apparatuses, which can solve the problem of legal consulting of users to a certain extent by relying on a preset question-answer mechanism and a question-answer database, the existing electronic legal consulting systems usually adopt a set of fixed interaction modes, do not consider the specific situations of users, especially do not consider the difference of comprehension abilities caused by academic differences, for example, a farmer and a high-level knowledge molecule generally have a large difference in comprehension abilities, when the same contents are displayed for the two types of people, if the same interaction mode or display form is adopted, completely different results are likely to be generated, for example, when the farmer directly displays the related contents of the law rules, the relevant contents of the law rules cannot be understood and need more contents of the general laws or display forms to help understanding, but for people who have a certain legal thinking or have related experiences, the above-mentioned contents are not necessary, and therefore, if the difference of the individual comprehension abilities is not considered, the consultation effect may be reduced, and the consultation result may be not desirable.
Disclosure of Invention
The invention provides a robot interaction system and method for legal consultation, which can judge the comprehension ability level of a user according to the input of the user, and further show a consultation result in a form suitable for the comprehension ability level of the user, so that the consultation result is more convenient for the user to understand, and the consultation effect is improved.
In order to solve the technical problem, the present application provides the following technical solutions:
a robot interaction method for legal consultation comprises the following contents:
an input acquisition step of acquiring user input;
a user portrait step, which is portrait for the user according to the user input to obtain the user portrait;
an interactive template matching step, namely matching an interactive template according to the user image;
an interactive content matching step, namely matching the interactive content according to the context content and the user input;
and an interactive result generation step, namely generating an interactive result according to the interactive template and the interactive content.
According to the technical scheme, the user image of the user is judged according to the user input through the user image drawing step, the comprehensibility level of the user can be judged according to the user input, the interaction template matched with the user image is matched through the interaction template matching step, the interaction result is generated according to the interaction template, the consultation result can be displayed in an interaction mode suitable for the comprehensibility level of the user, the result is more convenient for the user to understand, and the consultation effect is improved.
Further, the user input comprises consultation related content and user operation, the consultation related content comprises question description, question supplement and question answer, and the input acquisition step comprises the following steps:
a problem description acquisition step of acquiring the problem description content of the consultation problem input by the user;
a question supplement acquisition step, which prompts the user to carry out question supplement according to the previous interaction result and acquires question supplement contents of the user;
a question answer obtaining step, which is used for inquiring the relevant questions of the user according to the previous interaction result and obtaining the question answer content of the user;
and a user operation obtaining step of obtaining and recording other user operations except question description, question supplement and question answer of the user.
Through the steps, the input of each aspect of the user is classified, recorded and saved.
Further, the user representation includes presentation capabilities and comprehension capabilities, and the user representation step includes the following:
an expression ability judgment step, calculating the expression ability of the user according to the input of the user;
and an comprehension ability estimating step, namely estimating comprehension ability of the user according to user input and expression ability of the user.
Because the user mainly inputs the consultation during interaction, the expression ability is judged first, and the comprehension ability of the user is further estimated on the basis of the expression ability.
Further, the expression capability judging step includes:
a self-describing content acquisition step, extracting keywords related to user information in the related content of the consultation, and judging the expression ability of the user according to the keywords;
the comprehension ability estimation step also estimates comprehension ability of the user according to the key.
The relevant user information of the user, such as age, academic calendar, occupation and the like, is obtained based on the keywords, and further, the expression ability and even the comprehension ability of the user can be roughly estimated.
Further, the expression ability judging step further includes a language expression scoring step of calculating a language expression score of the user according to a sentence or a vocabulary of the consultation related content. And judging the expression ability of the user according to the language score of the user.
Further, the language expression scoring step includes the following:
text error scoring, namely counting text errors in the consultation related content input by the user and calculating a text error score;
a logic scoring step, wherein the logicality of the consultation related content input by the user is scored to obtain a logic score;
and a legal professionality scoring step, namely extracting legal keywords in the related consulting content input by the user and judging the legal professionality scoring of the user according to the keywords.
The expression ability of the user is comprehensively evaluated through a plurality of conveniences such as text errors, logicality and legal expertise.
Further, the logical scores include the following:
a logic contradiction scoring step, wherein the contents of the front and back logic contradictions appearing in the related contents of consultation are counted, and the logic contradiction scoring is calculated according to the counting result;
a logic correspondence scoring step of calculating the correlation between the context content in the question supplement acquisition step and the question answer acquisition step and the question supplement content and the question answer content of the user, and calculating a logic correspondence score according to the correlation;
and a logic score calculating step, calculating a logic score according to the logic contradiction score and the logic correspondence score.
And judging whether the expression of the user has logic contradiction or logic non-correspondence, and further judging the expression capability of the user.
Further, the interaction template matching step includes:
an understanding ability screening step, namely screening an interactive template with understanding difficulty under the understanding ability of the user according to the understanding ability of the user;
and an expression ability screening step, namely screening the interaction template with the expression ability requirement closest to the expression ability of the user from the screening results of the understanding ability screening step according to the expression ability of the user to serve as the matched interaction template.
And screening the interactive template according to the comprehension ability and the expression ability, and selecting a proper interactive template, so that the efficiency of expression and comprehension of the user is improved, and the effective operation of consultation is ensured.
Further, the interactive template matching step also comprises a standby template screening step, wherein N interactive templates with expression capacity requirements below the expression capacity of the user and above the expression capacity of the user are respectively screened out, and the standby template library is formed by the 2N interactive templates;
the portrait correcting step is also included, and the comprehension ability of the portrait of the user is adjusted according to the operation input of the user;
and an interactive template adjusting step of selecting a corresponding interactive template from the standby template library according to the adjusting result of the portrait correcting step. And adjusting the user portrait in real time according to the subsequent operation of the user, and quickly selecting a corresponding interactive template according to the adjustment result.
Further, the invention also discloses a robot interaction system for legal consultation, which uses the robot interaction method for legal consultation. By using the method, the system can judge the comprehension ability level of the user according to the input of the user, and further displays the consultation result in a form of adapting to the comprehension ability level of the user, so that the consultation result is more convenient for the user to understand, and the consultation effect is improved.
Drawings
Fig. 1 is a flowchart of an embodiment of a robot interaction method for legal consultation according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the robot interaction system and method for legal consultation of the embodiment includes
A robot interaction method for legal consultation comprises the following contents:
an input acquisition step of acquiring user input;
a user portrait step, which is portrait for the user according to the user input to obtain the user portrait;
an interactive template matching step, namely matching an interactive template according to the user image;
an interactive content matching step, namely matching the interactive content according to the context content and the user input;
and an interactive result generation step, namely generating an interactive result according to the interactive template and the interactive content.
Specifically, in this embodiment, the user input includes consultation related content and user operation, the consultation related content includes question description, question supplement and question answer, and in this embodiment, the input manner of the user in the input acquisition step includes, but is not limited to, voice input, touch input and key input. The input acquisition step specifically comprises the following steps:
a problem description acquisition step of acquiring the problem description content of the consultation problem input by the user; the problem description content input by the user is recorded in a text form, which is usually the beginning of a consultation, so that the user can make a basic overview of the things or problems to be consulted.
A question supplement acquisition step, which prompts the user to carry out question supplement according to the previous interaction result and acquires question supplement contents of the user; during the interaction, the system may present some content to the user that needs to be supplemented according to the interaction result, for example, if the user says the amount in the question description but not specifically, the subsequent system may make the user supplement the specific value.
A question answer obtaining step, which is used for inquiring the relevant questions of the user according to the previous interaction result and obtaining the question answer content of the user; the system can also ask some questions to the user according to the specific interaction condition and the interaction template, for example, let the user confirm whether the sum of money is correct, etc., the generation logic of these questions and the above-mentioned question supplement adopts the existing technology, can set up a question bank, adopt the existing mode and method of case survey, ask the user's question step by step according to the description of the user, in order to obtain the complete legal case content.
And a user operation obtaining step of obtaining and recording other user operations except question description, question supplement and question answer of the user. And operations of the user when browsing the interaction result, such as whether a skip button is pressed, frequency, dwell time of each page and the like, are mainly convenient for subsequently judging whether the user understands the related content displayed by the interaction result.
The user representation includes presentation capabilities and comprehension capabilities, and the user representation step includes the following:
an expression ability judgment step, calculating the expression ability of the user according to the input of the user;
and an comprehension ability estimating step, namely estimating comprehension ability of the user according to user input and expression ability of the user.
Specifically, in this embodiment, the expression capability determining step includes:
a self-describing content acquisition step, extracting keywords related to user information in the related content of the consultation, and judging the expression ability of the user according to the keywords;
the comprehension ability estimation step also estimates comprehension ability of the user according to the key.
The method comprises the steps of obtaining relevant user information of a user based on keywords, such as age, academic history, occupation and the like, wherein the keywords are preset in a database and extracted in a matching mode, and further roughly estimating the expression ability and even the understanding ability of the user, for example, when the doctor mentions the consultation relevant content of the user, the doctor estimates the expression ability and the understanding ability of the doctor in the academic history. In this embodiment, the expression ability and the understanding ability are classified into numerical categories, and fifteen categories are set, from one to fifteen, from low to high.
The expression ability judging step further includes a language expression scoring step of calculating a language expression score of the user based on the sentence or vocabulary of the consultation related contents. And when the keywords directly reflecting the user comprehension ability and the expression ability are not in the related consultation content of the user, judging the expression ability of the user according to the language score of the user.
Specifically, the language expression scoring step comprises the following steps:
text error scoring, namely counting text errors in the consultation related content input by the user and calculating a text error score;
a logic scoring step, wherein the logicality of the consultation related content input by the user is scored to obtain a logic score;
and a legal professionality scoring step, namely extracting legal keywords in the related consulting content input by the user and judging the legal professionality scoring of the user according to the keywords. The legal professionalism scoring is mainly used for judging whether a user professionally judges whether the user has legal experience or experience before aiming at some legal vocabulary expression. The expression ability of the user is comprehensively evaluated through a plurality of conveniences such as text errors, logicality and legal expertise.
Logical scores include the following:
a logic contradiction scoring step, wherein the contents of the front and back logic contradictions appearing in the related contents of consultation are counted, and the logic contradiction scoring is calculated according to the counting result; for example, the sum of money in the consultation question description is ten thousand, and the sum of money in the consultation question description is changed into twenty thousand when the question is supplemented, so that the user expresses that some logic contradiction exists.
A logic correspondence scoring step of calculating the correlation between the context content in the question supplement acquisition step and the question answer acquisition step and the question supplement content and the question answer content of the user, and calculating a logic correspondence score according to the correlation; context content refers to content in a specific interactive scene, such as the last question supplement content or the last question answer content or the last question asked by the system to the user, and the relevance of the content is calculated, for example, the system asks a specific amount of money, but the user cannot answer or answer other content, and if the relevance is poor, it indicates that a certain question may exist on the expression of the user.
And a logic score calculating step, calculating a logic score according to the logic contradiction score and the logic correspondence score, wherein a weighted summation mode is adopted to calculate the logic score in the embodiment.
The interaction template matching step comprises the following steps:
an understanding ability screening step, namely screening an interactive template with understanding difficulty under the understanding ability of the user according to the understanding ability of the user;
and an expression ability screening step, namely screening the interaction template with the expression ability requirement closest to the expression ability of the user from the screening results of the understanding ability screening step according to the expression ability of the user to serve as the matched interaction template.
And screening the interactive template according to the comprehension ability and the expression ability, and selecting a proper interactive template, so that the efficiency of expression and comprehension of the user is improved, and the effective operation of consultation is ensured.
The embodiment also discloses a robot interaction system for legal consultation, which uses the robot interaction method for legal consultation.
The robot interaction system for legal consultation and the robot interaction method for legal consultation can judge the understanding ability level of the user according to the input of the user, and can show the consultation result in an interaction mode suitable for the understanding ability level of the user, so that the result is more convenient for the user to understand, and the consultation effect is improved.
Example two
The difference between this embodiment and the first embodiment is that, in this embodiment, the interaction template matching step further includes a spare template screening step of screening N interaction templates whose expression capability requirements are under the expression capability of the user and above the expression capability of the user, respectively, and forming a spare template library with 2N interaction templates; specifically, in this embodiment, N is selected to be 5.
The portrait correcting step is also included, and the comprehension ability of the portrait of the user is adjusted according to the operation input of the user; the operation input is mainly used for counting the use condition of the keys of the UI interface, for example, if the skip button is used for multiple times, the user is likely to understand the contents, and the corresponding evaluated user has low comprehension capability, but actually the user already understands that the user does not want to see redundant explanation contents, so the skip button is used for multiple times, and when the condition is detected, the level corresponding to the comprehension capability of the user is increased. Conversely, if the user stays at a certain interface for a long time and repeatedly views the interface, such as repeatedly looking up and down through a mouse wheel, the content may be too difficult for the user, and the level corresponding to the user's comprehension ability is lowered.
And an interactive template adjusting step of selecting a corresponding interactive template from the standby template library according to the adjusting result of the portrait correcting step. And quickly selecting the corresponding interactive template according to the corrected level of the image correction step, and if the corrected understanding capability level exceeds the understanding capability range covered by the interactive template in the standby template library, re-executing the interactive template matching step.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A robot interaction method for legal consultation is characterized in that: the method comprises the following steps:
an input acquisition step of acquiring user input;
a user portrait step, which is portrait for the user according to the user input to obtain the user portrait;
an interactive template matching step, namely matching an interactive template according to the user image;
an interactive content matching step, namely matching the interactive content according to the context content and the user input;
and an interactive result generation step, namely generating an interactive result according to the interactive template and the interactive content.
2. The robotic interaction method for legal consultancy according to claim 1, characterized in that: the user input comprises consultation related content and user operation, the consultation related content comprises question description, question supplement and question answer, and the input acquisition step comprises the following steps:
a problem description acquisition step of acquiring the problem description content of the consultation problem input by the user;
a question supplement acquisition step, which prompts the user to carry out question supplement according to the previous interaction result and acquires question supplement contents of the user;
a question answer obtaining step, which is used for inquiring the relevant questions of the user according to the previous interaction result and obtaining the question answer content of the user;
and a user operation obtaining step of obtaining and recording other user operations except question description, question supplement and question answer of the user.
3. The robot interaction method for legal consultancy according to claim 2, characterized in that: the user representation includes presentation capabilities and comprehension capabilities, and the user representation step includes the following:
an expression ability judgment step, calculating the expression ability of the user according to the input of the user;
and an comprehension ability estimating step, namely estimating comprehension ability of the user according to user input and expression ability of the user.
4. The robotic interaction method for legal consultancy according to claim 3, characterized in that: the expression ability judging step includes:
a self-describing content acquisition step, extracting keywords related to user information in the related content of the consultation, and judging the expression ability of the user according to the keywords;
the comprehension ability estimation step also estimates comprehension ability of the user according to the key.
5. The robotic interaction method for legal consultancy according to claim 4, characterized in that: the expression ability judging step further includes a language expression scoring step of calculating a language expression score of the user according to the sentence or vocabulary of the consultation related content.
6. The robotic interaction method for legal consultancy according to claim 5, characterized in that: the language expression scoring step comprises the following steps:
text error scoring, namely counting text errors in the consultation related content input by the user and calculating a text error score;
a logic scoring step, wherein the logicality of the consultation related content input by the user is scored to obtain a logic score;
and a legal professionality scoring step, namely extracting legal keywords in the related consulting content input by the user and judging the legal professionality scoring of the user according to the keywords.
7. The robotic interaction method for legal consultancy according to claim 6, characterized in that: logical scores include the following:
a logic contradiction scoring step, wherein the contents of the front and back logic contradictions appearing in the related contents of consultation are counted, and the logic contradiction scoring is calculated according to the counting result;
a logic correspondence scoring step of calculating the correlation between the context content in the question supplement acquisition step and the question answer acquisition step and the question supplement content and the question answer content of the user, and calculating a logic correspondence score according to the correlation;
and a logic score calculating step, calculating a logic score according to the logic contradiction score and the logic correspondence score.
8. The robotic interaction method for legal consultancy according to claim 7, characterized in that: the interaction template matching step comprises:
an understanding ability screening step, namely screening an interactive template with understanding difficulty under the understanding ability of the user according to the understanding ability of the user;
and an expression ability screening step, namely screening the interaction template with the expression ability requirement closest to the expression ability of the user from the screening results of the understanding ability screening step according to the expression ability of the user to serve as the optimal interaction template.
9. The robotic interaction method for legal consultancy according to claim 8, characterized in that:
the interactive template matching step also comprises a standby template screening step, wherein N interactive templates with expression capacity requirements below the expression capacity of the user and above the expression capacity of the user are respectively screened out, and a standby template library is formed by the 2N interactive templates;
the portrait correcting step is also included, and the comprehension ability of the portrait of the user is adjusted according to the operation input of the user;
and an interactive template adjusting step of selecting a corresponding interactive template from the standby template library according to the adjusting result of the portrait correcting step.
10. A robot interactive system for legal consultation is characterized in that: a robotic interaction method for legal consultancy as claimed in any one of claims 1 to 9 is used.
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