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Research Article | Open Access
Volume 13 2021 | None
An Interactive Study of AI And Psychology
DR VANDANA GAUR, DR NEETA GUPTA, Dr ANIL BHATT
Pages: 3506-3511
Abstract
This study reviews and analyzes AI-psychology interactions. Human-Computer Interfaces, mental models, and data mining systems are discussed. Applications contain various subcategories and features. AI research and development has focused on creating artificially intelligent robots, but the widespread adoption and use of AI systems have led to a far broader transfer of technology. The article opens with a short history of cognitive psychology, a discussion of its core principles and models, and a look at how it relates to AI. This article's second section examines human-computer interaction's challenges, goals, tasks, applications, and psychological theories. Complexity issues, unsettling coefficients, and other scientific, pragmatic, and technological barriers prevent these limitations from being extended. This paper shows how mental modeling may be used for diagnosis, manipulation, and instructional assistance. Data mining, knowledge discovery, and expert systems may predict mental illness in children depending on their environments. The article discusses missing characteristics and system coefficients. Finally, we examine virtual reality expert systems and life simulation (applied mental model) for autistic persons and their loved ones.
Keywords
Artificial Intelligence, Cognitive Psychology, Children's Mental Health, Deep Learning, Convolutional Neural Network.
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