EVALUATING MIND SPEED TECHNOLOGIES USING THE ELECTRE METHOD FOR OPTIMIZED DECISION-MAKING
DOI:
https://doi.org/10.34218/IJCET_16_03_034Keywords:
Information Society, Brain-Computer Interface (BCI), Artificial Intelligence (AI), Mind-Reading Technology, Cognitive ScienceAbstract
Introduction: The rise of the informational society is driven by global networks and digital communication, fostering virtual communities and reshaping social structures. Technology acts as a catalyst, influencing various aspects of life, including healthcare, artificial intelligence, and brain-machine interfaces. This paper explores advancements in cognitive science, human-computer interaction, and their societal impact. Research Significance: This research is significant as it explores the intersection of technology, neuroscience, and human cognition, advancing fields such as brain-computer interfaces, AI-driven healthcare, and cognitive science. By addressing challenges in mind-machine interaction, dyslexia support, and ethical concerns, it paves the way for innovative applications that enhance human potential and societal well-being. Methodology: Alternative: Motivation to learn, Anxiety level, Opportunity to demonstrate learning, Effectiveness of distance learning. Evaluation Parameters: Portfolio, Level of education, Number of courses, Study hours, Peer support, Knowledge acquisition in distance learning. Result: According to the results, Motivation to learn has the lowest score, while producing the whole Effectiveness of distance learning has the highest rank. Conclusion: Effectiveness of distance learning has the highest value for Mindspeed Technologies according to the ELECTRE approach.
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