A Review on Gaming Effects on Cognitive Load for Smart Healthcare and Its Security

A Review on Gaming Effects on Cognitive Load for Smart Healthcare and Its Security

Sima Das, Ahona Ghosh, Sriparna Saha
Copyright: © 2023 |Pages: 28
DOI: 10.4018/978-1-6684-5741-2.ch001
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Abstract

Constructive and damaging effects of video game playing on the human brain have been emerging areas of study . It has been proved that playing a video game for a certain time also has some advantages like slowing aging, enhancing learning ability, improving hand-eye coordination, and even physical fitness can be improved by playing games associated with sports. However, there are many disadvantages if the player becomes addicted to a specific game. Unfortunately, many scientists proved that video games affect our mental and physical health negatively. It affects our attention, academic performance, and eyesight. Playing it on a daily basis causes aggression and continuously playing the game for a long time directly affects the human brain. Cognitive load is a mental process to detect the current situation of the human mind. The cognitive load is increased when brain complexity increases and vice versa. To detect the cognitive load, electroencephalography by placing electrodes of different positions on the scalp can be used.
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Our major organ is Brain inside the head consisting of billions of tiny cells and weighing about 1.5kg (Zhang, 2019). Human brain development is not bounded by the cognitive and social skills growth with environmental and social connection (Brito and Noble, 2014). Human mind is a dynamic store rather than a static store (Craik, 2020). To support cognitive functions and sensor motor, dynamic electrical and chemical waves are propagated to the cerebrum for different external behavior (Messé et al., 2014). Human brain (as shown in Figure 1. and Figure 2.) is a more complex system that interacts with multiple physical and functional levels (NIH Public Access, 2011). The brain structural connection is heterogeneous patterns supported by cognition and a wide range of behaviors (Lynn and Bassett, 2019). To develop brain connectivity within a distributed associative network (Das et al., 2014), structural and functional neural network, computational theory and complex analysis play vital roles to elucidate brain-structure and function relationship (Batista-García-Ramó and Fernández-Verdecia, 2018). Recent advancement in neuroimaging techniques measure brain activity using the following methods fMRI, EEG, MEG.

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