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

G, Rajini and Das, Barttanu Kumar (2025) Identification of Organisational Citizenship Behavior During Virtual Interview: Risk Management Using AI Based Deep Neural Network. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Management Studies > Organizational Behavior
Domains: Management Studies
Depositing User: Mr IR Admin
Date Deposited: 20 Aug 2025 05:31
Last Modified: 20 Aug 2025 05:31
URI: https://ir.vistas.ac.in/id/eprint/10036

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