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Social Behavior Analysis With Brain-Computer Interface-Controlled Devices

N. RameshkumarNavruzbek ShavkatovTashkent State University of Economics, UzbekistanAshraf Abed HusseinMelanie LourensDurban University of Technology, South AfricaRajaa Jasim MohammedAl-Nisour University College, IraqHarpreet Singh BediLovely Professional University, India
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The purpose of this investigation is to investigate the possibility of controlled bias in the evaluation of social gestures using a brain-computer interface (BCI). The authors hope to achieve our goal of gaining perceptivity into the social relationships of mortals by interpreting neurological signals through the use of modern BCI technology. The purpose of this study is to evaluate the effectiveness of brain-computer interface (BCI) systems in capturing real-time brain activity and transforming it into data that can be used in practical situations. This data can also be utilized to determine behavioural patterns in social environments. They evaluate the subtlety and reliability of the bias that is introduced by BCI in the process of monitoring and interpreting social activities by using experimental settings that involve social scripts. Based on the findings, it appears that bias that is controlled by a brain-computer interface (BCI) presents a promising instrument for conducting a deep and nuanced investigation of social relations.

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