Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
CoRR(2024)
摘要
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, academic
writing, and peer review in psychology. While LLMs are essential in advancing
research methodologies in psychology, the paper also cautions about their
technical and ethical challenges. There are issues like data privacy, the
ethical implications of using LLMs in psychological research, and the need for
a deeper understanding of these models' limitations. Researchers should
responsibly use LLMs in psychological studies, adhering to ethical standards
and considering the potential consequences of deploying these technologies in
sensitive areas. Overall, the article provides a comprehensive overview of the
current state of LLMs in psychology, exploring potential benefits and
challenges. It serves as a call to action for researchers to leverage LLMs'
advantages responsibly while addressing associated risks.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要