Talent online interview data analysis system and method based on Internet

Abstract

The invention discloses a talent online interview data analysis system and method based on the Internet. The system comprises an interview background acquisition module, an interview background confusion degree analysis module, a limb movement acquisition module, a limb position positioning module, a limb movement confusion degree analysis module, a sight line position positioning module, a sight line position deviation analysis module, a voice recognition module, a voice coherence degree analysis module and an interview data comprehensive analysis module. The invention has the beneficial effects that through the confusion degree of the interview background, the confusion degree of the limb movement of the interviewer, the sight position deviation degree of the interviewer and the voice coherence degree, according to the interview background confusion degree, the body movement confusion degree, the sight line position deviation degree and the voice coherence degree, the comprehensive evaluation of the interviewer in the interview can be calculated, the difficulty of obtaining body language information in the traditional online interview process can be solved, and the evaluation of the interviewer is more comprehensive.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an Internet-based talent online interview data analysis system and method. Background technique [0002] Nowadays, the form of online interviews for campus recruitment has become the mainstream. Now many companies can see online interviews in their school recruitment announcements. Online interviews are usually voice or video, but judging from the recruitment information released by various companies. Look, videos account for the vast majority, and scientific research shows that the entire expression of information is divided into three parts: language, voice and intonation, and body language. Among them, language accounts for 7%, voice and intonation 38%, and body language 55%. Therefore, body language accounts for a large part of information acquisition, but in the process of online interviews, body language information is precisely the most difficult to obtain. [0003] ...

AI Technical Summary

Problems solved by technology

[0002] Nowadays, the form of online interviews for campus recruitment has become the mainstream. Now many companies can see online interviews in their school recruitment announcements. Online interviews are usually voice or video, but judging from the recruitment information released by various companies. Look, videos account for the vast majority, and scientific research shows that the entire expression of information is divided into three parts: language, voice and intonation, and body language. Among them, language accounts for 7%, voice and intonation 38%, and body language 55%. Therefore, body language plays a large part in obtaining information, but in the process of online interview, body language information is precisely the most difficult to obtain

[0003] There are still many deficiencies in the existing technology. During the online interview process of enterprises, the interviewer asks the interviewer to answer, and the interviewer's questions are limited to a certain extent. For example, there is a fixed question bank, from the question bank Obtain question information, and the biggest difference between online interviews and offline interviews is that the interviewer cannot have an intuitive impression of the overall image of the interviewer during the online interview process. During the offline interview process, face-to-face communication can change the question. It is more random and not limited to the scope of the question bank, so the comprehensive evaluation of the interviewer can be more comprehensive. On the contrary, the question-and-answer format adopted in the online interview is difficult to achieve the effect of the offline interview, and lacks a certain degree of scientific nature and Objectivity, thus affecting the interviewer's comprehensive evaluation of the interviewer

Images