Electronic devices for performing document consulting and methods for performing thereof

Abstract

The present invention discloses an electronic device for performing document consulting and a method for performing document consulting. The electronic device for performing document consulting comprises a processor and a memory operatively connected to the processor, wherein the memory stores instructions that, when executed, cause the processor to input a document to be evaluated and a prompt containing evaluation items in which content to be evaluated is described in a format into an artificial intelligence model, and to receive a consulting report containing feedback on the content to be evaluated from the artificial intelligence model, and wherein the feedback includes whether the content to be evaluated conforms to evaluation criteria according to the evaluation items and the basis for determining whether it conforms.

Description

Technology Field

[0001] The present invention relates to an electronic device for performing document consulting and a method for performing document consulting, and is intended to determine whether a document meets specific criteria using an artificial intelligence model. Background Technology

[0003] The content described in this section merely provides background information regarding the present embodiment and does not constitute prior art.

[0004] Special documents (e.g., childcare logs for infants and toddlers, developmental assessment reports for infants and toddlers, childcare plans for infants and toddlers, etc.) must meet the evaluation criteria for the evaluation items, and specifically, at least one item included in the special document must have its evaluation content written in accordance with the evaluation criteria.

[0005] In order for the content of special documents to be drafted in accordance with evaluation criteria, accuracy and consistency in writing are required, and furthermore, the author's meticulous record-keeping skills and deep understanding of the evaluation items are necessary.

[0006] Authors have faced difficulties in creating special documents, and there has been a need for technology that can determine whether such documents meet evaluation criteria. Prior art literature

[0008] (0001) Korean Registered Patent No. 10-2726726 (2024.11.05.) The problem to be solved

[0009] The objective of the present invention is to provide an electronic device for performing document consulting and a method for performing document consulting, which can provide a document consulting result, which is the result of determining whether a document is written in accordance with evaluation criteria.

[0010] The objects of the present invention are not limited to those mentioned above, and other unmentioned objects and advantages of the present invention may be understood from the following description and will be more clearly understood by the embodiments of the present invention. Furthermore, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims. means of solving the problem

[0012] An electronic device for performing document consulting according to an embodiment of the present invention comprises a processor and a memory operatively connected to the processor, wherein the memory stores instructions that, when executed, cause the processor to input a document to be evaluated and a prompt containing evaluation items in which content to be evaluated is written in a format into an artificial intelligence model, and to receive a consulting report containing feedback on the content to be evaluated from the artificial intelligence model, and wherein the feedback includes whether the content to be evaluated conforms to evaluation criteria according to the evaluation items and the basis for determining whether it conforms.

[0013] In addition, the feedback further includes at least one of the proposed content necessary for the content subject to evaluation to meet the evaluation criteria, and examples of descriptions that must be included in the document subject to evaluation to meet the evaluation criteria.

[0014] In addition, the above prompt further includes content regarding the above evaluation criteria.

[0015] In addition, the artificial intelligence model performs a determination based on the document to be evaluated and the prompt whether the content to be evaluated included in the document to be evaluated meets the evaluation criteria for the evaluation item.

[0016] In addition, the above instructions enable the processor to identify the evaluation items and evaluation criteria for evaluating the content of the document to be evaluated based on the format of the document to be evaluated.

[0017] Additionally, the above instructions enable the processor to identify a modified document subject to evaluation in which the content of the document subject to evaluation has been updated based on the feedback, which is the content of the consulting report.

[0018] A method for performing document consulting according to an embodiment of the present invention comprises the steps of transmitting to an artificial intelligence model a prompt including an evaluation target document in which evaluation target content is written in accordance with a format and evaluation items, and receiving from the artificial intelligence model a consulting report including feedback on the evaluation target content, wherein the feedback includes whether the evaluation target content conforms to evaluation criteria for the evaluation items and the basis for determining whether it conforms.

[0019] In addition, the above feedback further includes at least one of the proposed content required to meet the above evaluation criteria and the example of description that must be included in the document subject to evaluation to meet the above evaluation criteria.

[0020] In addition, it further includes a step of identifying the evaluation items and evaluation criteria for evaluating the content of the document to be evaluated based on the format of the document to be evaluated.

[0021] In addition, it further includes a step of identifying a modified evaluation target document in which the evaluation target content of the evaluation target document is updated based on the feedback, which is the content of the consulting report. Effects of the invention

[0023] The electronic device for performing document consulting and the method for performing document consulting according to the present invention can provide convenience and efficiency by receiving the consulting results regarding whether a document has been written in accordance with evaluation criteria in the form of a consulting report, thereby enabling the author of the document to write and modify the document in accordance with evaluation criteria.

[0024] In addition, according to the electronic device for performing document consulting and the method for performing document consulting of the present invention, consistency and accuracy in the evaluation of a document can be guaranteed by providing feedback based on consistent standards to the document to be evaluated.

[0025] In addition to the above, the specific effects of the present invention are described together with the specific details for implementing the invention below. Brief explanation of the drawing

[0027] FIG. 1 is a block diagram of an electronic device for performing document consulting according to an embodiment of the present invention. FIG. 2 is a diagram illustrating the operation of a processor of an electronic device that performs document consulting according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating a method for performing document consulting according to an embodiment of the present invention. Specific details for implementing the invention

[0028] Terms and words used in this specification and claims shall not be interpreted as being limited to their general or dictionary meanings. In accordance with the principle that an inventor may define the concept of a term or word to best describe their invention, they shall be interpreted in a meaning and concept consistent with the technical spirit of the invention. Furthermore, since the embodiments described in this specification and the configurations illustrated in the drawings are merely one embodiment of the invention and do not represent the entire technical spirit of the invention, it should be understood that various equivalents, modifications, and applicable examples capable of replacing them may exist at the time of filing this application.

[0029] The terms first, second, A, B, etc., as used in this specification and claims may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0030] The terms used in this specification and claims are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" should be understood as not precluding the existence or addition of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification.

[0031] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which this invention pertains.

[0032] Terms such as those defined in commonly used dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application. Furthermore, each component, process, procedure, or method included in each embodiment of the present invention may be shared within a scope that is not technically contradictory.

[0034] Hereinafter, an electronic device for performing document consulting according to the present invention will be described with reference to FIGS. 1 and FIGS. 2.

[0035] FIG. 1 is a block diagram of an electronic device for performing document consulting according to an embodiment of the present invention. FIG. 2 is a diagram for explaining the operation of a processor of an electronic device for performing document consulting according to an embodiment of the present invention.

[0036] Referring to FIG. 1, an electronic device (hereinafter, electronic device) (100) that performs document consulting may include a processor (110) and a memory (120).

[0037] The electronic device (100) can communicate with the artificial intelligence model (200).

[0038] The artificial intelligence model (200) may be, for example, a model that determines whether the content to be evaluated included in the document to be evaluated meets the evaluation criteria for the evaluation item based on the document to be evaluated and the prompt. The artificial intelligence model (200) may be, for example, a language model (e.g., LLM, Chat GPT). The artificial intelligence model (200) may be a model that executes an algorithm to perform a task based on the prompt.

[0039] One or more other components (e.g., a communication module) may be added to the electronic device (100). In some embodiments, some of these components may be implemented as a single integrated circuit.

[0041] The memory (120) can store various data used by at least one component (e.g., processor (110)) of the electronic device (100). The data may include, for example, software (e.g., a program) and input data or output data for related instructions. The memory (120) may include volatile memory or non-volatile memory.

[0042] The memory (120) may store instructions, information, or data related to the operation of components included in the electronic device (100). For example, the memory (120) may store instructions that enable the processor (110) to perform various operations described in this document during execution.

[0044] The processor (110) may be operatively coupled with the memory (120) to perform the overall function of the electronic device (100). The processor (110) may include, for example, one or more processors. One or more processors may include, for example, an image signal processor (ISP), an application processor (AP), or a communication processor (CP).

[0045] The processor (110) can, for example, execute software (e.g., a program) to control at least one other component (e.g., a hardware or software component) of the electronic device (100) connected to the processor (110) and perform various data processing or operations. According to one embodiment, as at least part of the data processing or operations, the processor (110) can load commands or data received from another component (e.g., a communication module) into memory (120), process the commands or data stored in memory (120), and store the resulting data in memory (120). According to one embodiment, the processor (110) may include a main processor (e.g., a central processing unit or an application processor) and an auxiliary processor (e.g., a graphics processing unit, an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with it. Additionally or alternatively, the auxiliary processor may be configured to use lower power than the main processor or to be specialized for a specified function. The auxiliary processor may be implemented separately from the main processor or as part thereof. The program may be stored as software in memory (120) and may include, for example, an operating system, middleware, or application.

[0046] The operation of the processor (110) is described in more detail below.

[0048] Referring to FIGS. 1 and FIGS. 2, the processor (110) can input a prompt including a document to be evaluated and an evaluation item (S100).

[0049] The processor (110) can input a document to be evaluated into an artificial intelligence model (200). The document to be evaluated may have content to be evaluated written in accordance with a format. The format may be based on the type of document to be evaluated. The content to be evaluated may be a subject of judgment to determine whether it meets the evaluation criteria according to the evaluation items. There may be multiple evaluation items, and if there are multiple items, the evaluation criteria for each evaluation item may differ from one another.

[0050] The document subject to evaluation may, for example, be a document containing specific items in accordance with a particular format. The document subject to evaluation may be, for example, one of a childcare log for infants and toddlers, a developmental assessment report for infants and toddlers, and a childcare plan for infants and toddlers.

[0051] For example, if the document subject to evaluation is a childcare journal written for infants and toddlers, the document subject to evaluation may be a document in which evaluation subject content is written that includes at least one of content regarding playtime, content regarding play records, content regarding activity records within the childcare institution, and content regarding daily life records. For example, if the document subject to evaluation is a childcare journal written for infants and toddlers, the evaluation subject content may be recorded for each item that must be included in the childcare journal, in accordance with the childcare journal format.

[0052] The processor (110) may input a prompt containing evaluation items into the artificial intelligence model (200). The prompt may include, for example, evaluation items for determining whether the document to be evaluated is properly written. The prompt may further include, for example, content regarding evaluation criteria. The prompt may include, for example, content that enables the artificial intelligence model (200) to determine whether the content to be evaluated of the document to be evaluated meets the evaluation criteria according to the evaluation items.

[0053] The artificial intelligence model (200) can determine whether the content to be evaluated included in the document to be evaluated meets the evaluation criteria for the evaluation item based on the prompt.

[0055] The processor (110) can receive a consulting report containing feedback on the content to be evaluated (S200).

[0056] The processor (110) may receive a consulting report from an artificial intelligence model (200). The artificial intelligence model (200) may be a model capable of determining, based on a prompt, whether the content to be evaluated included in the document to be evaluated meets the evaluation criteria for the evaluation item, and generating a consulting report that includes feedback on the content to be evaluated.

[0057] The consulting report may include feedback on the content subject to evaluation. For example, the consulting report may include the findings and results regarding whether the content subject to evaluation aligns with the evaluation items and criteria based on the document subject to evaluation.

[0058] For example, the feedback included in the consulting report may include the result of determining whether the content under evaluation meets the evaluation criteria according to the evaluation items, and the grounds for determining such compliance. Additionally, the feedback included in the consulting report may further include at least one of the following: suggestions necessary for the content under evaluation to meet the evaluation criteria, examples of entries that must be included in the document under evaluation to meet the evaluation criteria, and supplementary matters.

[0059] If it is determined that the content subject to evaluation does not meet the evaluation criteria based on the evaluation items, the proposed content may include, for example, modifications to the content to meet the evaluation criteria. The examples provided may include phrases that need to be included in the document subject to evaluation, based on the proposed content.

[0061] The following description takes as an example the case where the document subject to evaluation is a childcare log. The childcare log may contain content subject to evaluation written in accordance with the format. The processor (110) may input the childcare log and prompts into the artificial intelligence model (200) and then receive a consulting report containing feedback from the artificial intelligence model (200). The artificial intelligence model (200) may be a model that receives the childcare log and prompts, generates feedback on the childcare log according to the content of the prompts, and creates a consulting report containing the feedback.

[0062] Taking the entry of playtime as an example among the contents subject to evaluation in a childcare journal, the consulting report may include, as feedback, the result of determining whether the content recorded in relation to playtime in the childcare journal (i.e., the content subject to evaluation) meets the evaluation criteria for playtime. For example, the processor (110) may transmit a prompt to the artificial intelligence model (200) to include the result of determining whether the content subject to evaluation meets the evaluation criteria in the consulting report. The artificial intelligence model (200) may generate feedback on the childcare journal including the result of determining whether the content subject to evaluation meets the evaluation criteria according to the prompt, and generate a consulting report including said feedback. The electronic device (100) may receive the consulting report including feedback from the artificial intelligence model (200).

[0063] The consulting report may include the basis for the judgment result. For example, if the content recorded regarding playtime does not meet the evaluation criteria, the basis for the judgment that it does not meet the criteria, such as “For a 3-year-old infant, more than 3 hours of playtime per day is required, but only 1 hour and 30 minutes is recorded,” may be included in the consulting report as feedback. For example, the processor (110) may transmit a prompt to the artificial intelligence model (200) to include the basis for the judgment result in the consulting report. The artificial intelligence model (200), in accordance with the prompt, may generate feedback on the childcare log containing the basis that if the content subject to evaluation does not meet the evaluation criteria, and may generate a consulting report containing said feedback. The electronic device (100) may receive the consulting report containing feedback from the artificial intelligence model (200). If it is determined that the content subject to evaluation does not meet the evaluation criteria, suggestions necessary for the content subject to evaluation to meet the evaluation criteria may be included in the consulting report as feedback. For example, if the content recorded regarding playtime does not meet the evaluation criteria, suggestions necessary to meet the evaluation criteria, such as “increase playtime to 3 hours and add outdoor playtime,” may be included in the consulting report as feedback. For example, the processor (110) may send a prompt to the artificial intelligence model (200) to include suggestions necessary to meet the evaluation criteria in the consulting report. If the artificial intelligence model (200) determines, based on the prompt, that the content subject to evaluation does not meet the evaluation criteria, it may generate feedback on the childcare log containing suggestions necessary to meet the evaluation criteria, and generate a consulting report containing said feedback. The electronic device (100) may receive the consulting report containing the feedback from the artificial intelligence model (200).

[0064] If it is determined that the content subject to evaluation does not meet the evaluation criteria, examples of what should be written in the document subject to evaluation to meet the evaluation criteria may be included in the consulting report as feedback. For example, if the content written regarding playtime does not meet the evaluation criteria, examples of sentences that should be written in the document subject to evaluation, such as “adjust playtime to 3 hours and record an additional 1 hour of outdoor playtime,” may be included in the consulting report as feedback. For example, the processor (110) may transmit a prompt to the artificial intelligence model (200) to include examples of what should be written in the document subject to evaluation to meet the evaluation criteria in the consulting report. According to the prompt, if it is determined that the content subject to evaluation does not meet the evaluation criteria, the artificial intelligence model (200) may generate feedback on the childcare log containing examples of what should be written in the document subject to evaluation to meet the evaluation criteria, and generate a consulting report containing said feedback. The electronic device (100) may receive a consulting report containing feedback from the artificial intelligence model (200).

[0065] If the content subject to evaluation is determined to meet the evaluation criteria, the basis for the judgment and supplementary details may be included in the consulting report as feedback. For example, if the content recorded regarding playtime meets the evaluation criteria, the basis for the judgment of compliance, such as “The infants and toddlers participated equally in indoor free play and outdoor play, and activities appropriate to their developmental level were included,” may be included in the consulting report as feedback. Additionally, for example, if the content recorded regarding playtime meets the evaluation criteria, supplementary details, such as “Additional play activities to enhance infants and toddlers’ initiative can be planned,” may be included in the consulting report as feedback. For example, if the processor (110) determines that the content subject to evaluation meets the evaluation criteria, it may transmit a prompt to the artificial intelligence model (200) to include the basis for the judgment and supplementary details in the consulting report. According to the prompt, if the content subject to evaluation is determined to meet the evaluation criteria, the artificial intelligence model (200) may generate feedback on the childcare log containing the basis for the judgment and supplementary details, thereby generating a consulting report that includes the said feedback. The electronic device (100) can receive a consulting report including feedback from an artificial intelligence model (200).

[0067] In some embodiments, the processor (110) can identify the format of the document to be evaluated. Based on the identified format, the processor (110) can identify evaluation items and evaluation criteria for evaluating the content to be evaluated. The processor (110) can include the identified evaluation items and evaluation criteria in a prompt and transmit them to the artificial intelligence model (200). Based on the received prompt, the artificial intelligence model (200) can generate a consulting report on the document to be evaluated according to the evaluation items and evaluation criteria.

[0069] In some embodiments, the processor (110) can identify modified documents to be evaluated by updating the evaluation target content of the documents to be evaluated based on feedback, which is the content of a consulting report. The processor (110) can update the evaluation target content listed for each item of the documents to be evaluated based on the feedback, including content that requires modification or content that meets the evaluation criteria but has been provided for supplementation.

[0071] An electronic device for performing document consulting according to an embodiment of the present invention can determine, based on the document to be evaluated and a prompt, whether the content to be evaluated described in the document to be evaluated conforms to the evaluation criteria according to the evaluation items. Additionally, the electronic device can identify a consulting report including feedback comprising at least one of the basis for judgment, proposed content, examples of description, and supplementary matters, based on the result of the determination. Thus, according to the electronic device for performing document consulting according to an embodiment of the present invention, consistency and accuracy in determining whether the document to be evaluated is written in accordance with the evaluation criteria according to each evaluation item are ensured, and furthermore, the convenience and efficiency of the author of the document to be evaluated can be improved by presenting proposed content, examples of description, and supplementary matters.

[0073] A method for performing document consulting according to the present invention is described below with reference to FIG. 3. For clarity of explanation, parts that overlap with previously described parts are simplified or omitted.

[0074] FIG. 3 is a flowchart illustrating a method for performing document consulting according to an embodiment of the present invention.

[0075] Referring to FIG. 3, a method for performing document consulting according to an embodiment of the present invention may include the step (S1000) of inputting a prompt including a document to be evaluated and an evaluation item. The prompt and the document to be evaluated may be input into an artificial intelligence model (e.g., the artificial intelligence model (200) of FIG. 1).

[0076] A method for performing document consulting according to an embodiment of the present invention may include the step (S2000) of receiving a consulting report containing feedback on the content to be evaluated. The consulting report may be received from an artificial intelligence model (e.g., the artificial intelligence model (200) of FIG. 1).

[0078] Various embodiments of the present document may be implemented as software (e.g., a program) comprising one or more instructions stored in a storage medium (e.g., memory (120)) readable by a machine (e.g., an electronic device (100)). For example, a processor (110) of the machine (e.g., an electronic device (100)) may call at least one of the one or more instructions stored in the storage medium and execute it. This enables the machine to be operated to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. The storage medium readable by the machine may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' simply means that the storage medium is a tangible device and does not contain a signal (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily.

[0079] According to one embodiment, the method according to the various embodiments disclosed herein may be provided by being included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or distributed online (e.g., download or upload) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0080] According to various embodiments, each component (e.g., module or program) of the components described above may include a singular or multiple entities. According to various embodiments, one or more of the components or operations among the aforementioned components may be omitted, or one or more other components or operations may be added. Generally or additionally, multiple components (e.g., module or program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the components of the multiple components in the same or similar manner as those performed by the corresponding component among the multiple components prior to the integration. According to various embodiments, operations performed by the module, program, or other components may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0082] The above description is merely an illustrative explanation of the technical concept of the present embodiment, and a person skilled in the art to which the present embodiment belongs would be able to make various modifications and variations within the scope of the essential characteristics of the present embodiment. Accordingly, the present embodiments are intended to explain, not limit, the technical concept of the present embodiment, and the scope of the technical concept of the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present embodiment.

Claims

Claim 1 An electronic device for performing document consulting, comprising: a processor; and a memory operatively connected to the processor, wherein the memory stores instructions that, when executed, cause the processor to input a document to be evaluated and a prompt containing evaluation items in which content to be evaluated is written in a format into an artificial intelligence model, and to receive a consulting report containing feedback on the content to be evaluated from the artificial intelligence model, and wherein the feedback includes whether the content to be evaluated conforms to evaluation criteria according to the evaluation items and the basis for determining whether it conforms. Claim 2 An electronic device according to claim 1, wherein the feedback further comprises at least one of the proposed content required for the content subject to evaluation to meet the evaluation criteria, and an example of description that must be written in the document subject to evaluation to meet the evaluation criteria. Claim 3 In claim 1, the prompt is an electronic device that further includes content regarding the evaluation criteria. Claim 4 An electronic device according to claim 1, wherein the artificial intelligence model performs a determination based on the document to be evaluated and the prompt whether the content to be evaluated included in the document to be evaluated conforms to the evaluation criteria for the evaluation item. Claim 5 In claim 1, the instructions are an electronic device that enables the processor to identify the evaluation items and the evaluation criteria for evaluating the content of the document to be evaluated based on the format of the document to be evaluated. Claim 6 In claim 1, the instructions are an electronic device that enables the processor to identify a modified document subject to evaluation that updates the content of the document subject to evaluation based on the feedback which is the content of the consulting report. Claim 7 A method for performing document consulting, comprising: a step of transmitting to an artificial intelligence model a prompt including an evaluation target document in which the evaluation target content is written in accordance with a format and evaluation items; and a step of receiving from the artificial intelligence model a consulting report including feedback on the evaluation target content, wherein the feedback includes whether the evaluation target content conforms to evaluation criteria for the evaluation items and the basis for determining the conformity. Claim 8 A method of performing document consulting according to claim 7, wherein the feedback further comprises at least one of the suggestion content required to meet the evaluation criteria and the example of description to be included in the document subject to evaluation to meet the evaluation criteria. Claim 9 A method for performing document consulting according to claim 7, further comprising the step of identifying the evaluation items and evaluation criteria for evaluating the content of the document to be evaluated based on the format of the document to be evaluated. Claim 10 A method for performing document consulting according to claim 7, further comprising the step of identifying a modified document subject to evaluation in which the content of the document subject to evaluation is updated based on the feedback, which is the content of the consulting report.

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