Abstract— Since the development of artificial intelligence, the automated classification of interviews conducted to a certain individual personality traits has grown in importance as a study area with applications in psychological testing, human-computer interaction, and personality computing (AI). Deep learning (DL)-based advances in pattern recognition and computer vision have produced the development models that can detect nonverbal cues indications from people and personality qualities to them by utilizing only a camera. In the proposed paradigm, an all-encompassing AI interviewing platform is built processing an asynchronous video interview (AVI). The Tensor Flow AI engine uses the information acquired from the AVIs to identify personalities automatically (APR). Facial expressions and self-reported surveys are used to get the genuine personality scores for real job applicants. For the purpose of predicting the personality trait scores, the Big Five character qualities —extroversion, openness and composure, and neuroticism—are observable and evaluated for conscientiousness. The Big Five personality attribute that was self-reported scores are proposed to be predicted using Convolutional Neural Networks (CNN).
Keywords— Deep learning, Asynchronous video interview (AVI), Convolution Neural Network (CNN).

PDF | DOI: 10.17148/IJARCCE.2023.12216

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