User-Centric Design: Adjective Rating Scale for Conversational Agent Interaction

被引：0
|
作者：
Faruk, Lawal Ibrahim Dutsinma [1 ]
Pal, Debajyoti [2 ]
Funilkul, Suree [1 ]
Mongkolnam, Pornchai [1 ]
Sathapornvajana, Sunisa [1 ]
Charoenkitkarn, Nipon [1 ]
机构：
[1] King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Bangkok 10140, Thailand
[2] King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Innovat Cognit Comp Res Ctr IC2, Bangkok 10140, Thailand
来源：
2024 21ST INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING, JCSSE 2024 | 2024年
关键词：
conversational agents; user experience; adjective rating; correlation analysis; USABILITY;
D O I：
10.1109/JCSSE61278.2024.10613685
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Measuring the user experience (UX) of Conversational Agents (CA) is crucial for ensuring user satisfaction and optimizing performance, which can be more effectively communicated with adjective ratings. Through the employment of a CA measurement tool, the study captures the UX through experiments and structured procedures. Moreover, it underscores the significance of adjective ratings in providing descriptive and qualitative insights into user perceptions and clarification of scale numeric scores. The results revealed a positive correlation between the adjective ratings and the scale numeric scores, indicating their reliability in delineating the UX score of CA. Furthermore, the study further explore the relationship between user demographics and UX with the use of adjective ratings.
引用
收藏
页码：689 / 695
页数：7
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