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

Conference proceedings article


Authors/Editors


Strategic Research Themes


Publication Details

Author listLawal Ibrahim Dutsinma Faruk, Debajyoti Pal, Suree Funilkul, Pornchai Mongkolnam, Sunisa Sathapornvajana, and Nipon Charoenkitkarn

Publication year2024

Title of series-

Number in series-

Start page1

End page8

Number of pages8

URLhttps://jcsse2024.computing.psu.ac.th/

LanguagesEnglish-United States (EN-US)


Abstract

The study focuses on evaluating user experience with Conversational Agents (CA) with the help of a comprehensive adjective rating scale. By developing a nuanced measurement tool, the research aims to capture the user experience of CA. The study carried out a methodological rigor through experiments and structured procedures. The outcome show a positive relationship between adjective and scale scores, highlighting the reliability of adjective rating scale. The research also draw light to the importance of holistic assessment in user experience evaluation and how they are valuable tool for designers and project managers in today's AI climate.


Keywords

adjective ratingConversational agentscorrelation analysisUser Experience


Last updated on 2024-25-07 at 13:46