The Evaluation of User Experience Testing for Retrieval-based Model and Deep Learning Conversational Agent

被引：2

作者：

Leong P.H. ^{[1
]}

Goh O.S. ^{[2
]}

Kumar Y.J. ^{[2
]}

Sam Y.H. ^{[3
]}

Fong C.W. ^{[1
]}

机构：

[1] Faculty of Computing and Information Technology, Tunku Abdul Rahman University College (TAR UC), Johor

[2] Centre for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka

[3] Faculty of Accountancy, Finance and Business, Tunku Abdul Rahman University College (TAR UC), Johor

来源：

Leong, Pui Huang | 1600年 / Science and Information Organization卷 / 12期

关键词：

Conversational agent; deep learning; retrieval-based model; satisfaction; usability; usefulness; user experience testing;

D O I：

10.14569/IJACSA.2021.0120429

中图分类号：

学科分类号：

摘要：

The use of a conversational agent to relay information on behalf of individuals has gained worldwide acceptance. The conversational agent in this study was developed using Retrieval-based Model and Deep Learning to enhance the user experience. Nevertheless, the successfulness of the conversational agent could only be determined upon the evaluation. Thus, the testing was performed in the quantitative approach via questionnaire survey to capture user experience upon the usage of the conversational agent in terms of Usability, Usefulness and Satisfaction. The questionnaire survey was tested via statistical tool for reliability and validation test and proven to be carried out. The test results indicate positive experience towards the usage of the conversational agent and the outcome of the testing showed promising results and proof the success of this study, with immense contributions to the field of conversational agent. © 2021

引用

页码：216 / 221

页数：5

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