PDF(Pubmed)
Abstract：
The release of GPT-4 has garnered widespread attention across various fields, signaling the impending widespread adoption and application of Large Language Models (LLMs). However, previous research has predominantly focused on the technical principles of ChatGPT and its social impact, overlooking its effects on human-computer interaction and user psychology. This paper explores the multifaceted impacts of ChatGPT on human-computer interaction, psychology, and society through a literature review. The author investigates ChatGPT\'s technical foundation, including its Transformer architecture and RLHF (Reinforcement Learning from Human Feedback) process, enabling it to generate human-like responses. In terms of human-computer interaction, the author studies the significant improvements GPT models bring to conversational interfaces. The analysis extends to psychological impacts, weighing the potential of ChatGPT to mimic human empathy and support learning against the risks of reduced interpersonal connections. In the commercial and social domains, the paper discusses the applications of ChatGPT in customer service and social services, highlighting the improvements in efficiency and challenges such as privacy issues. Finally, the author offers predictions and recommendations for ChatGPT\'s future development directions and its impact on social relationships.
摘要：
GPT-4的发布引起了各个领域的广泛关注，信号即将广泛采用和应用大型语言模型(LLM)。然而,以前的研究主要集中在ChatGPT的技术原理及其社会影响上，忽视了它对人机交互和用户心理的影响。本文探讨了ChatGPT对人机交互的多方面影响，心理学,和社会通过文献综述。作者调查了ChatGPT的技术基础，包括其Transformer架构和RLHF（来自人类反馈的强化学习）过程，使它能够产生类似人类的反应。在人机交互方面，作者研究了GPT模型给会话界面带来的重大改进。分析延伸到心理影响，权衡ChatGPT模仿人类同理心和支持学习的潜力，以减少人际关系的风险。在商业和社会领域，本文讨论了ChatGPT在客户服务和社会服务中的应用，强调效率的提高和隐私问题等挑战。最后,作者对ChatGPT的未来发展方向及其对社会关系的影响提供了预测和建议。
