Αρχειοθήκη ιστολογίου

Τετάρτη 27 Ιανουαρίου 2021

Predicting behavioral competencies automatically from facial expressions in real-time video-recorded interviews

xlomafota.13 shared this article with you from Inoreader

Abstract

This work aims to develop a real-time image and video processor enabled with an artificial intelligence (AI) agent that can predict a job candidate's behavioral competencies according to his or her facial expressions. This is accomplished using a real-time video-recorded interview with a histogram of oriented gradients and support vector machine (HOG-SVM) plus convolutional neural network (CNN) recognition. Different from the classical view of recognizing emotional states, this prototype system was developed to automatically decode a job candidate's behaviors by their microexpressions based on the behavioral ecology view of facial displays (BECV) in the context of employment interviews using a real-time video-recorded interview. An experiment was conducted at a Fortune 500 company, and the video records and competency scores were collected from the company's employees and hiring managers. The results indicated that our proposed system can provide better pre dictive power than can human-structured interviews, personality inventories, occupation interest testing, and assessment centers. As such, our proposed approach can be utilized as an effective screening method using a personal-value-based competency model.

View on the web

Δεν υπάρχουν σχόλια:

Δημοσίευση σχολίου

Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,

Αναζήτηση αυτού του ιστολογίου

! # Ola via Alexandros G.Sfakianakis on Inoreader