Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke (1), Song Tong (1), Peng Cheng (2), Kaiping Peng (1) ((1) Department of Psychological, Cognitive Sciences, Tsinghua University, (2) School of Social Science, Tsinghua University)

TL;DR
This paper reviews how large language models are transforming psychological research and practice, highlighting their capabilities, applications, benefits, and ethical challenges in various psychology domains.
Contribution
It provides a comprehensive overview of LLMs' roles in psychology, emphasizing their potential and the need for responsible use amidst technical and ethical concerns.
Findings
LLMs can simulate human cognition and behavior in psychological research.
They offer innovative tools for literature review, hypothesis generation, and data analysis.
Ethical and technical challenges must be carefully managed in applications.
Abstract
This paper explores the frontiers of large language models (LLMs) in psychology applications. Psychology has undergone several theoretical changes, and the current use of Artificial Intelligence (AI) and Machine Learning, particularly LLMs, promises to open up new research directions. We provide a detailed exploration of how LLMs like ChatGPT are transforming psychological research. It discusses the impact of LLMs across various branches of psychology, including cognitive and behavioral, clinical and counseling, educational and developmental, and social and cultural psychology, highlighting their potential to simulate aspects of human cognition and behavior. The paper delves into the capabilities of these models to emulate human-like text generation, offering innovative tools for literature review, hypothesis generation, experimental design, experimental subjects, data analysis,…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education
