Identification of Organisational Citizenship Behavior During Virtual Interview: Risk Management Using AI Based Deep Neural Network

The Organisational Citizenship behavior (OCB) can be predicted during virtual interviews in the selection process, raising concerns about authenticity and risk management. With a well- designed interview platform using deep learning algorithms to assess facial expressions, speech patterns, and physiological reactions in real time the HR Mangers can adapt it. The dataset includes several interview scenarios to train the neural network to adapt to varied settings. Human resource management gains a new way to virtual interview risk reduction from this study. Deep neural networks increase candidate authenticity and reduce deception. The test results demonstrate our approach's ability to recognise real candidate answers. The technology is resistant to deception, making it suitable for virtual interview platforms.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/autocom64127.2025.10956339
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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article

Identification of Organisational Citizenship Behavior During Virtual Interview: Risk Management Using AI Based Deep Neural Network

Barttanu Kumar Das, G. Rajini
Impact of AI and Big Data on Business and Society
article

Identification of Organisational Citizenship Behavior During Virtual Interview: Risk Management Using AI Based Deep Neural Network

Barttanu Kumar Das, G. Rajini
article en

Abstract

The Organisational Citizenship behavior (OCB) can be predicted during virtual interviews in the selection process, raising concerns about authenticity and risk management. With a well- designed interview platform using deep learning algorithms to assess facial expressions, speech patterns, and physiological reactions in real time the HR Mangers can adapt it. The dataset includes several interview scenarios to train the neural network to adapt to varied settings. Human resource management gains a new way to virtual interview risk reduction from this study. Deep neural networks increase candidate authenticity and reduce deception. The test results demonstrate our approach's ability to recognise real candidate answers. The technology is resistant to deception, making it suitable for virtual interview platforms.

Vels University (IN)
Reduced inequalities
Openalex Percentile: Top 91%
Impact of AI and Big Data on Business and Society
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