Neural mechanism of visual paralanguage based on computer network

Abstract

Various communication-based computer network technologies have penetrated the lives of people because of the widespread use of smartphones and the rapid development of computer network technology. In social communication, people can not only transmit information through various language messages (such as speech, vocabulary, and sentences), but also transmit emotions and attitudes through Paralanguage Cues (such as tones, body posture and facial expression). However, the lack of expression, tone, gestures, and other non-verbal symbols in online communication will affect the transmission of information. To solve this problem, various expressions of Internet emoticons have emerged, such as emojis and stickers. In order to explore the differences between paralanguage and language in Internet communication, we reviewed the literature findings based on ERP technology （i.e., event related potentials technology can provide a more accurate time-window for the brain to respond to events in the last 20 years and found that the early neural mechanisms (activation of attention and configuration recognition around 100-200milliseconds activated in cerebral cortex) of paralanguage based on Internet network are generally similar to those induced by language. In addition, the Neural mechanism of visual paralanguage is like language, also can configuration cognition (around 200 milliseconds), and semantic activation in the middle stage (around 400 milliseconds) as well as reanalysis of syntactic processing in the later stage (around 600 milliseconds).