Identifying Alternative Options for Chatbots With Multi-Criteria Decision-Making A Comparative Study

被引：0
|
作者：
Srivastava, Praveen Ranjan [1 ]
Singh, Harshit Kumar [1 ]
Sakshi, Surabhi [1 ]
Zhang, Justin Zuopeng [2 ]
Li, Qiuzheng [3 ]
机构：
[1] Indian Inst Management Rohtak, Rohtak, India
[2] Univ North Florida, Coggin Coll Business, Dept Management, Jacksonville, FL USA
[3] Zhejiang Wanli Univ, Ningbo, Peoples R China
来源：
JOURNAL OF DATABASE MANAGEMENT | 2024年 / 35卷 / 01期
关键词：
Chatbots; CRITIC; Decision-Making; EDAS; MCDM; WASPAS; CRITERIA;
D O I：
10.4018/JDM.345917
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页数：25
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