[2401.01519] Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review

View the PDF file for the paper entitled LLMS border exploration in psychological applications: a comprehensive review, by Luoma Ke (1) and 6 other authors

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a summary:This paper explores the limits of LLMS models in psychology applications. Psychology has undergone several theoretical changes, the current use of artificial intelligence (AI) and machine learning, especially LLMS, is considered to open new research trends. We offer a detailed exploration of how LLMS, such as ChatGPT, converts psychological research. It discusses the effect of LLMS through various branches of psychology, including cognitive, behavioral, elixir, consultative, educational, developmental, social and cultural psychology, highlighting their potential to simulate aspects of human awareness and behavior. The paper flows into the capabilities of these models to simulate the generation of human -like texts, providing innovative tools to review literature, generate hypotheses, experimental design, experimental topics, data analysis, academic writing, and peer review in psychology. While LLMS is necessary in the progress of research methodologies in psychology, the paper also warns of technical and moral challenges. There are issues such as data privacy, the ethical effects of LLMS use in psychological research, and the need for a deeper understanding of the restrictions of these models. Researchers should use LLMS with responsibility in psychological studies, adhere to ethical standards and consider the possible consequences to spread these technologies in sensitive areas. In general, the article provides a comprehensive overview of the current status of LLMS in psychology, exploring potential benefits and challenges. It is an invitation to work for researchers to take advantage of LLMS with responsibility while treating the associated risks.