The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …

Under the development of interdisciplinary fusion, user research has been greatly
influenced by technology-driven neuroscience and sensory science, in terms of thinking and …

For several decades, electroencephalography (EEG) has featured as one of the most
commonly used tools in emotional state recognition via monitoring of distinctive brain …

The widespread fake news in social networks is posing threats to social stability, economic
development, and political democracy, etc. Numerous studies have explored the effective …

In this work, an attempt has been made to classify emotional states using electrodermal
activity (EDA) signals and multiscale convolutional neural networks. For this, EDA signals …

An important aspect of preventing fake news spreading in social networks is to proactively
detect the users that are likely going to spread such news. Research in the domain of …

Engagement measurement finds application in healthcare education services. The use of
physiological and behavioral features is viable but the impracticality of traditional …

Media is evolving from traditional linear narratives to personalised experiences, where
control over information (or how it is presented) is given to individual audience members …

Online shopping environments are becoming more interactive as technology advances. As a
result, it is necessary to explore marketing theories and neuro scientific explanations to why …

Aim Congestive heart failure (CHF) is a very complex clinical syndrome that may lead to
ischemic cerebral hypoxia condition. The aim of the present study is to analyze the effects of …