利用多标准决策确定聊天机器人的备选方案

IF 1.3 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Database Management Pub Date : 2024-07-17 DOI:10.4018/jdm.345917

Praveen Ranjan Srivastava, Harshit Kumar Singh, Surabhi Sakshi, J. Zhang, Qiuzheng Li

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引用次数: 0

摘要

人工智能驱动的聊天机器人的使用在全球范围内持续增长，目前正在进行研究，以确定能最大限度发挥聊天机器人效用的功能。本研究采用多标准决策（MCDM）方法来寻找完成任务的最佳聊天机器人。我们从文献中确定聊天机器人的评估标准，然后使用德尔菲法听取专家意见。我们应用 CRITIC 评估指定标准的相对重要性。最后，我们列出了流行的聊天机器人替代方案和提供的功能，并应用 WASPAS 和 EDAS 技术对可用的替代方案进行排序。本研究探讨的替代方案包括 YOU、ChatGPT、PerplexityAI、ChatSonic 和 CharacterAI。两种方法的排序结果相同，根据确定的标准，ChatGPT 成为最受欢迎的替代方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identifying Alternative Options for Chatbots With Multi-Criteria Decision-Making

Artificial intelligence-powered chatbot usage continues to grow worldwide, and there is ongoing research to identify features that maximize the utility of chatbots. This study uses the multi-criteria decision-making (MCDM) method to find the best available alternative chatbot for task completion. We identify chatbot evaluation criteria from literature followed by inputs from experts using the Delphi method. We apply CRITIC to evaluate the relative importance of the specified criteria. Finally, we list popular alternatives of chatbots and features offered and apply WASPAS and EDAS techniques to rank the available alternatives. The alternatives explored in this study include YOU, ChatGPT, PerplexityAI, ChatSonic, and CharacterAI. Both methods yield identical results in ranking, with ChatGPT emerging as the most preferred alternative based on the criteria identified.

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来源期刊

Journal of Database Management 工程技术-计算机：软件工程

CiteScore

4.20

自引率

23.10%

发文量

期刊介绍： The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources. The journal is targeted at both academic researchers and practicing IT professionals.