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Neural Insights: Harnessing Brain-Computer Interfaces for Real-Time Data-Driven Employee Engagement
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Author(s): J. Srinivasan (Faculty of Science and Humanities, SRM Institute of Science and Technology, Ramapuram, India), R. Vijayalakshmi (Vande Mataram Degree College of Arts, Commerce, and Science, India), Abual-hass Adel (Department of Technology, Al-Manara College for Medical Sciences, Iraq), Taha Raad Al-Shaikhli (Department of Technology, Al-Nisour University College, Iraq), Melanie Lourens (Faculty of Management Sciences, Durban University of Technology, South Africa), Chandra Prakash Katare Omprakash (Osmania University, India)and Digvijay Pandey (Department of Technical Education, Government of Uttar Pradesh, India)
Copyright: 2025
Pages: 16
Source title:
Brain-Computer Interfaces and Applications in Business
Source Author(s)/Editor(s): Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, India), A.Shaji George (TSM, Almarai Company, Saudi Arabia), Sameer Tiwari (George Mason University, USA), Salah A. Albermany (Kufa University, Iraq)and Ho Sy Hung (Hong Duc University, Vietnam)
DOI: 10.4018/979-8-3373-5122-3.ch014
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Abstract
This research study aims to conduct a real-time analysis of employee involvement in the workplace by examining the possible applications of brain-computer interfaces, or BCIs. Brain-computer interfaces (BCIs) provide a novel means of monitoring employee engagement by directly detecting brain activity. As such, there is no longer a need to depend exclusively on the already employed self-reporting techniques, which may be arbitrary and inaccurate. This study aims to assess whether brain-computer interfaces or BCIs, can be integrated into employee monitoring systems that already exist. More precisely, how real-time neural data may improve the precision of engagement assessments is the main area of interest. Some of the most important issues that are now being addressed include the processing of brain impulses, ensuring the ethical use of such technology, and maintaining user comfort. Based on the results, it seems that BCI-based engagement analysis offers deeper insights into employees' states, which helps companies react more quickly to changes in employee engagement.
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