Cognitive Linguistics and Artificial Intelligence: A Psychological Insight into Human-Machine Language Understanding

Abstract

This research analyses the relation between awareness of language and attitude, panic and attitude towards understanding languages, and artificial intelligence Cognitive and Psychological Theory on human cognitive activities such as attention, memory and conceptual mapping has galvanised the research to enhance the machines interpretation of language. We used both numbers and words in this research of respect design. In the quantitative phase, we collected data from 180 participants. We used standardized scales to measure cognitive linguistic awareness during performance on AI language understanding and some psychological factors. There was a significant positive correlation among the variables. Cognitive linguistic awareness and psychological features’ significantly improved AI-based interpretation. Through regression analysis, it was established that these two predictors explained 31.9% of the variance in AI to perform, indicating their significant influence on machines’ performances in terms of reading comprehension.
In the qualitative part, semi-structured interviews with AI developers as well as linguists and cognitive psychologists were analyzed through a thematic analysis to yield the following four themes: conceptual mapping in human understanding, psychological attention and cognitive load, human–machine meaning alignment and contextual adaptability in AI learning. Humans develop meaning through context, emotion, and embodied experience. AI systems do not understand meaning, just surface level pattern recognition. The importance of context and meaning suggests we can enhance AI systems by combining a cognitive model with a psychological model. Overall, these results mean that merging cognitive linguistics and AI can not only improve human–machine interaction but also encourage systems to interpret meaning more in line with human thinking. The research study mentioned may contribute to cognitive science and the development of AI It emphasizes how human