关于聊天机器人、人工智能驱动的虚拟对话代理、ChatGPT 的当代综述:应用、公开挑战和未来研究方向

IF 13.3 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Avyay Casheekar, Archit Lahiri, Kanishk Rath, Kaushik Sanjay Prabhakar, Kathiravan Srinivasan
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引用次数: 0

摘要

本综述论文深入分析了人工智能驱动的虚拟会话代理,特别关注 OpenAI 的 ChatGPT。本文的主要贡献有三个方面:(i) 对以前有关聊天机器人的文献进行了详尽回顾;(ii) 介绍了聊天机器人的背景,包括 ChatGPT 等现有聊天机器人/对话代理;(iii) 对著名聊天机器人的 UI/UX 设计进行了分析。本综述的另一个贡献是全面探讨了 ChatGPT 在教育、商业、公共卫生等多个领域的应用。尽管 ChatGPT 面临着幻觉、训练数据偏差、越狱和匿名数据收集等挑战,但这篇综述强调了 ChatGPT 的变革潜力。然后,综述论文对之前有关聊天机器人的文献综述进行了全面调查,找出了之前工作中的不足,并强调了在聊天机器人评估、用户体验和伦理考虑等领域进一步研究的必要性。论文还详细分析了著名聊天机器人的用户界面/用户体验设计,包括对话流程、视觉设计和用户参与。论文还确定了未来的主要研究方向,包括减轻语言偏见、增强伦理决策能力、改善用户互动和个性化,以及开发强大的管理框架。通过解决这些问题,我们可以确保像 ChatGPT 这样的人工智能聊天机器人在各种应用中得到负责任和有效的使用。本综述将成为研究人员和从业人员了解 ChatGPT 等人工智能聊天机器人的现状和未来潜力的宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions

This review paper offers an in-depth analysis of AI-powered virtual conversational agents, specifically focusing on OpenAI’s ChatGPT. The main contributions of this paper are threefold: (i) an exhaustive review of prior literature on chatbots, (ii) a background of chatbots including existing chatbots/conversational agents like ChatGPT, and (iii) a UI/UX design analysis of prominent chatbots. Another contribution of this review is the comprehensive exploration of ChatGPT’s applications across a multitude of sectors, including education, business, public health, and more. This review highlights the transformative potential of ChatGPT, despite the challenges it faces such as hallucination, biases in training data, jailbreaks, and anonymous data collection. The review paper then presents a comprehensive survey of prior literature reviews on chatbots, identifying gaps in the prior work and highlighting the need for further research in areas such as chatbot evaluation, user experience, and ethical considerations. The paper also provides a detailed analysis of the UI/UX design of prominent chatbots, including their conversational flow, visual design, and user engagement. The paper also identifies key future research directions, including mitigating language bias, enhancing ethical decision-making capabilities, improving user interaction and personalization, and developing robust governance frameworks. By solving these issues, we can ensure that AI chatbots like ChatGPT are used responsibly and effectively across a broad variety of applications. This review will be a valuable resource for researchers and practitioners in understanding the current state and future potential of AI chatbots like ChatGPT.

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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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