CN114792229A - Talent screening method and system based on interviewing robot - Google Patents
Talent screening method and system based on interviewing robot Download PDFInfo
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- CN114792229A CN114792229A CN202210430526.8A CN202210430526A CN114792229A CN 114792229 A CN114792229 A CN 114792229A CN 202210430526 A CN202210430526 A CN 202210430526A CN 114792229 A CN114792229 A CN 114792229A
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- 238000012216 screening Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000011156 evaluation Methods 0.000 claims abstract description 118
- 230000003993 interaction Effects 0.000 claims abstract description 26
- 230000008451 emotion Effects 0.000 claims description 16
- 238000013473 artificial intelligence Methods 0.000 claims description 8
- 238000013527 convolutional neural network Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 description 12
- 238000007726 management method Methods 0.000 description 2
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3343—Query execution using phonetics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The invention provides a talent screening method and a talent screening system based on an interview robot, belonging to the technical field of computers, wherein the method comprises the following steps: step S10, the interview robot acquires basic data of talents; step S20, the interview robot inputs the basic data into a talent feature analysis model to obtain talent features; step S30, the interview robot matches corresponding personality characteristic evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire based on the talent characteristics, and guides the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode; and step S40, generating a talent evaluation report by the interview robot based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire. The invention has the advantages that: the accuracy and the scientificity of talent screening are greatly improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a talent screening method and system based on an interview robot.
Background
When the enterprise HR screens and interviews talents, the talents need to know the personality characteristics of the talents, and generally adopt the personality evaluation questions such as nine types, fourteen types, sixteen types and the like to evaluate the talents. In the personality evaluation process, a talent is needed to fill in a corresponding evaluation question, and the process is often very boring, so that the condition of random filling exists in the later period, and the accuracy of evaluation is further influenced. And the personality characteristics, competence potentials, occupation types and career plans of talents cannot be systematically matched through single personality evaluation, so that the most suitable position is difficult to be accurately recommended for the talents, and whether the employees have other potentials is unclear.
Therefore, how to provide a talent screening method and system based on an interviewing robot to improve accuracy and scientificity of talent screening becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a talent screening method and system based on an interview robot, so that accuracy and scientificity of talent screening are improved.
In a first aspect, the invention provides an interview robot-based talent screening method, which comprises the following steps:
step S10, the interview robot acquires basic data of talents;
step S20, inputting the basic data into a talent characteristic analysis model by the interview robot to obtain talent characteristics;
step S30, the interview robot matches corresponding personality characteristic evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire based on the talent characteristics, and guides the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
and step S40, the interview robot generates talent evaluation reports based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire.
Further, the step S10 is specifically:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard.
Further, the step S20 is specifically:
the interviewing robot creates a talent feature analysis model based on a convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs basic data into the trained talent feature analysis model to obtain talent features.
Further, the step S30 further includes:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge emotions of the talents, and adjusts tone, speed and timbre of voice interaction based on the emotions.
Further, the step S40 further includes:
and the interviewing robot displays the talent evaluation report through a touch display screen, and uploads the talent evaluation report to a server for archiving after the talent evaluation report is encrypted.
In a second aspect, the invention provides an interview robot-based talent screening method, which comprises the following modules:
the basic data acquisition module is used for acquiring basic data of talents by the interview robot;
the talent characteristic acquisition module is used for inputting the basic data into a talent characteristic analysis model by the interview robot to acquire talent characteristics;
the questionnaire collecting module is used for matching the corresponding personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire based on the personality characteristics of the interview robot and guiding the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
and the talent evaluation report generation module is used for generating a talent evaluation report by the interviewing robot based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire.
Further, the basic data acquiring module specifically includes:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard.
Further, the talent characteristic acquisition module specifically is:
the interview robot creates a talent feature analysis model based on the convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs the basic data into the trained talent feature analysis model to obtain talent features.
Further, the questionnaire collecting module further comprises:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge emotions of the talents, and adjusts tone, speed and timbre of voice interaction based on the emotions.
Further, the talent assessment report generation module further comprises:
and the interviewing robot displays the talent evaluation report through a touch display screen, and uploads the talent evaluation report to a server for archiving after the talent evaluation report is encrypted.
The invention has the advantages that:
the talents are guided to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode, the emotions of the talents are analyzed through an artificial intelligence algorithm, the tone, the speed and the tone of voice interaction are adjusted based on the emotions, the randomness caused by the boring and tedious questionnaire collection process is avoided, the authenticity of questionnaire contents is guaranteed, and the accuracy of talent screening is greatly improved; talent features are extracted from basic data through a talent feature analysis model, and corresponding personality feature evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire are matched based on the talent features, namely, talents are evaluated and screened from multiple dimensions, and compared with traditional single personality evaluation, the scientificity of talent screening is greatly improved.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
FIG. 1 is a flow chart of the talent screening method based on an interview robot according to the present invention.
Fig. 2 is a schematic structural diagram of a talent screening system based on an interviewing robot according to the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: the talents are guided to complete the questionnaire in a voice interaction mode, randomness caused by the boring of the questionnaire collecting process is avoided, and accuracy of talent screening is improved; talents are evaluated and screened from multiple dimensions by matching corresponding personality characteristic evaluation questionnaires, leadership evaluation questionnaires and creativity evaluation questionnaires with talent characteristics, so that the scientificity of talent screening is improved.
Referring to fig. 1 to 2, a preferred embodiment of a talent screening method based on an interview robot according to the present invention includes the following steps:
step S10, the interview robot acquires basic data of talents;
step S20, the interview robot inputs the basic data into a talent feature analysis model to obtain talent features;
step S30, the interview robot matches corresponding personality characteristic evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire based on the talent characteristics, and guides the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
the personality characteristic evaluation questionnaire is used for testing the personality and character characteristics of the talents, and the test questions comprehensively evaluate the personality characteristics of the talents from multiple angles; the leadership test questionnaire is used for testing whether the talents have the potential of becoming management talents or not, and the personality characteristics reflected by the test questions are correspondingly matched with the leadership capability of the talents; the creativity evaluation questionnaire is used for testing the creativity of talents, so that whether the talents can become innovative talents or not is evaluated, and a future career planning scheme of the talents is given.
And step S40, the interview robot generates talent evaluation reports based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire.
In specific implementation, two talent evaluation reports can be generated, one talent is used for comprehensively explaining and analyzing personality characteristics of a talent, the strong emphasis is placed on the points of excellence and corresponding suitable occupation types, and the other talent is used for providing comprehensive personality characteristics of the talent for the HR, including advantages and disadvantages, creativity and the like, so that an important reference is provided for reasonably formulating talent career planning.
The step S10 specifically includes:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard. In specific implementation, the basic data of talents can be acquired through a webpage or an applet.
The step S20 specifically includes:
the interview robot creates a talent feature analysis model based on the convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs the basic data into the trained talent feature analysis model to obtain talent features.
The step S30 further includes:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge the emotion of the talents, and adjusts the tone, the speed and the tone of voice interaction based on the emotion to ensure the smoothness of the voice interaction.
The step S40 further includes:
the interviewing robot displays the talent evaluation report through the touch display screen, and uploads the encrypted talent evaluation report to the server for archiving, so that the later-stage tracing is facilitated.
The invention discloses a preferred embodiment of a talent screening system based on an interview robot, which comprises the following modules:
the basic data acquisition module is used for acquiring basic data of talents by the interview robot;
the talent characteristic acquisition module is used for inputting the basic data into a talent characteristic analysis model by the interview robot to acquire talent characteristics;
the questionnaire collecting module is used for matching the corresponding personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire based on the personality characteristics of the interview robot and guiding the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
the personality characteristic evaluation questionnaire is used for testing the personality and character characteristics of the talents, and the test questions comprehensively evaluate the personality characteristics of the talents from multiple angles; the leadership test questionnaire is used for testing whether the talents have the potential of becoming management talents or not, and the personality characteristics reflected by the test questions are correspondingly matched with the leadership capability of the talents; the creativity evaluation questionnaire is used for testing the creativity of talents, so that whether the talents can become innovative talents or not is evaluated, and a future career planning scheme of the talents is given.
And the talent evaluation report generation module is used for generating a talent evaluation report based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire by the interview robot.
In specific implementation, two talent evaluation reports can be generated, one talent is used for comprehensively explaining and analyzing personality characteristics and emphasizing excellence and corresponding suitable occupation types, and the other talent is used for providing comprehensive personality characteristics of the talents for the HR, including advantages and disadvantages, creativity and the like, so that important references are provided for reasonably formulating talent career planning.
The basic data acquisition module specifically comprises:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard. In specific implementation, basic data of talents can be acquired through a webpage or an applet.
The talent characteristic acquisition module specifically comprises:
the interview robot creates a talent feature analysis model based on the convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs the basic data into the trained talent feature analysis model to obtain talent features.
The questionnaire collection module further comprises:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge emotions of the talents, and adjusts tone, speed and timbre of voice interaction based on the emotions to guarantee smoothness of the voice interaction.
The talent evaluation report generation module further comprises:
the interviewing robot displays the talent evaluation report through the touch display screen, and uploads the encrypted talent evaluation report to the server for archiving, so that the later-stage tracing is facilitated.
In conclusion, the invention has the advantages that:
the talents are guided to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode, the emotions of the talents are analyzed through an artificial intelligence algorithm, the tone, the speed and the tone of voice interaction are adjusted based on the emotions, the randomness caused by the boring and tedious questionnaire collection process is avoided, the authenticity of questionnaire contents is guaranteed, and the accuracy of talent screening is greatly improved; talent features are extracted from basic data through a talent feature analysis model, and corresponding personality feature evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire are matched based on the talent features, namely, talents are evaluated and screened from multiple dimensions, and compared with traditional single personality evaluation, the scientificity of talent screening is greatly improved.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (10)
1. A talent screening method based on an interview robot is characterized by comprising the following steps: the method comprises the following steps:
step S10, the interview robot acquires basic data of talents;
step S20, the interview robot inputs the basic data into a talent feature analysis model to obtain talent features;
step S30, the interview robot matches the corresponding personality characteristic evaluation questionnaire, leadership evaluation questionnaire and creativity evaluation questionnaire based on the talent characteristics, and guides the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
and step S40, the interview robot generates talent evaluation reports based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire.
2. The interview robot-based talent screening method of claim 1, wherein: the step S10 specifically includes:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard.
3. The interview robot-based talent screening method of claim 1, wherein: the step S20 specifically includes:
the interviewing robot creates a talent feature analysis model based on a convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs basic data into the trained talent feature analysis model to obtain talent features.
4. The interview robot-based talent screening method of claim 1, wherein: the step S30 further includes:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge emotions of the talents, and adjusts tone, speed and timbre of voice interaction based on the emotions.
5. The screening method of talents based on interview robot according to claim 1, wherein: the step S40 further includes:
and the interviewing robot displays the talent evaluation report through a touch display screen, and uploads the talent evaluation report to a server for archiving after the talent evaluation report is encrypted.
6. The utility model provides a talent screening system based on interview robot which characterized in that: the system comprises the following modules:
the basic data acquisition module is used for acquiring basic data of talents by the interview robot;
the talent characteristic acquisition module is used for inputting the basic data into the talent characteristic analysis model by the interview robot to acquire talent characteristics;
the questionnaire collecting module is used for matching the corresponding personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire based on the talent characteristics by the interview robot and guiding the talents to complete the personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire in a voice interaction mode;
and the talent evaluation report generation module is used for generating a talent evaluation report by the interviewing robot based on the completed personality characteristic evaluation questionnaire, the leadership evaluation questionnaire and the creativity evaluation questionnaire.
7. The interview robot-based talent screening system of claim 6, wherein: the basic data acquisition module is specifically as follows:
the interview robot acquires basic data of talents through voice interaction or inputs the basic data of talents through information input equipment of the interview robot; the information input device is a touch display screen or a keyboard.
8. The interview robot-based talent screening system of claim 6, wherein: the talent characteristic acquisition module specifically comprises:
the interviewing robot creates a talent feature analysis model based on a convolutional neural network, trains the talent feature analysis model through a pre-created and labeled data set, and inputs basic data into the trained talent feature analysis model to obtain talent features.
9. The interview robot-based talent screening system of claim 6, wherein: the questionnaire collection module further comprises:
the interview robot shoots videos of talents through the camera, analyzes the videos through an artificial intelligence algorithm to judge the emotion of the talents, and adjusts the tone, the speed and the tone of voice interaction based on the emotion.
10. The interview robot-based talent screening system of claim 6, wherein: the talent evaluation report generation module further comprises:
and the interviewing robot displays the talent evaluation report through a touch display screen, and uploads the talent evaluation report to a server for archiving after the talent evaluation report is encrypted.
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| CN202210430526.8A CN114792229A (en) | 2022-04-22 | 2022-04-22 | Talent screening method and system based on interviewing robot |
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| CN202210430526.8A CN114792229A (en) | 2022-04-22 | 2022-04-22 | Talent screening method and system based on interviewing robot |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105787639A (en) * | 2016-02-03 | 2016-07-20 | 北京云太科技有限公司 | Artificial-intelligence-based talent big data quantization precise matching method and apparatus |
| CN108596420A (en) * | 2018-02-02 | 2018-09-28 | 武汉文都创新教育研究院（有限合伙） | A kind of talent assessment system and method for Behavior-based control |
| WO2019048941A1 (en) * | 2017-09-11 | 2019-03-14 | Dornadula Manikanth | A system and a method for pre-screening qualified candidates using chat bot |
| CN111126553A (en) * | 2019-12-25 | 2020-05-08 | 平安银行股份有限公司 | Intelligent robot interviewing method, equipment, storage medium and device |
| CN112836691A (en) * | 2021-03-31 | 2021-05-25 | 中国工商银行股份有限公司 | Intelligent interviewing method and device |
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- 2022-04-22 CN CN202210430526.8A patent/CN114792229A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105787639A (en) * | 2016-02-03 | 2016-07-20 | 北京云太科技有限公司 | Artificial-intelligence-based talent big data quantization precise matching method and apparatus |
| WO2019048941A1 (en) * | 2017-09-11 | 2019-03-14 | Dornadula Manikanth | A system and a method for pre-screening qualified candidates using chat bot |
| CN108596420A (en) * | 2018-02-02 | 2018-09-28 | 武汉文都创新教育研究院（有限合伙） | A kind of talent assessment system and method for Behavior-based control |
| CN111126553A (en) * | 2019-12-25 | 2020-05-08 | 平安银行股份有限公司 | Intelligent robot interviewing method, equipment, storage medium and device |
| CN112836691A (en) * | 2021-03-31 | 2021-05-25 | 中国工商银行股份有限公司 | Intelligent interviewing method and device |
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