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Economic and Management Applications of Brain – Computer Interface Technology

Year: 2024

Type: article

Abstract: This research investigates the applicability of Brain-Computer Interface (BCI) technology and advanced machine learning algorithms for optimizing institutional management and operational efficiency in resource-constrained environments.By processing real-time neural signals, the study explores how BCI can support decision-making processes, automate repetitive tasks, and monitor employees' cognitive performance.The research also addresses the technical, ethical, and economic challenges associated with BCI implementation and proposes innovative solutions for integrating this technology effectively and sustainably.Expert opinions on the practical applicability of BCI and its potential impact on institutional improvement through emerging methods and technologies are also considered.

Source: Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics

DOI: 10.35219/eai15840409480

Authors: Oana Stefania Cosa, Daniela Georgiana Golea, Felix Constantin Goldbach, Felix Constantin Goldbach

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $32

Funder: Universitatea 'Dunărea de Jos' Galați

OpenAlex ID: W4406706322

FWCI:

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