Abstract: In today’s era the advancement in artificial intelligence(AI),the automatic analysis of video interviews to apprehend individual personality traits has become a progressive area of research. Progress in computer vision and pattern recognition based on deep learning(DL) have guided to the foundation of convolutional neural network models that can effectively recognize human nonverbal cues and impute their personality traits with the usage of a camera. In this paper, an end-to-end AI interviewing system was developed using video of the interview fetched and CNN model to perform automatic personality recognition (APR) based on the features extracted from videos and the personality from the facial expressions and self reported questions. The AI interview agent can replace existing self-reported personality assessment methods that job seekers may control to achieve socially desirable effects.

Keywords: Big five, convolutional neural network (CNN), personality computing, TensorFlow, Deep learning.

PDF | DOI: 10.17148/IJARCCE.2021.10561

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