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Computer-Brain Interface in Economics: An Innovative Method for Policy Analysis
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Author(s): P. Valarmathi (B.S. Abdur Rahman Crescent Institute of Science and Technology, India), L. Dhatchayani (School of Law, B.S. Abdur Rahman Crescent Institute of Science and Technology, India), Pamarthi Satyanarayana (School of Law, Dr. Sagunthala R&D Institute of Science and Technology, India), Kuldeep Chouhan (Department of Computer Science and Applications, Sharda School of Engineering and Technology, India), K. L. Meera (Dayananda Sagar Business Academy, India), Shailesh Dhar Diwan (Government Engineering College, Raipur, India)and Abhishek Vyas (Meta, USA)
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.ch005
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Abstract
The utilization of Brain-Computer Interface (BCI) technology in economics offers a unique perspective on policy analysis by accurately capturing the affective and cognitive responses of individuals to economic stimuli in real-time. Biases and delayed feedback mechanisms frequently compromise the behavioral data, surveys, and simulations that traditional economic models use to assess the effects of policies. By offering a direct means to evaluate brain activity, brain-computer interfaces (BCIs) address these challenges, thereby providing real-time insights into emotional responses, preferences, and decision-making processes. This research concentrates on the potential of BCI to enhance the development, implementation, and assessment of fiscal policies. Policymakers can enhance their comprehension of the intricacies of human behavior, adjust policies to align with actual responses, and enhance the accuracy of economic forecasts by incorporating brain data.
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