A Review of Subjective Scales Measuring the User Experience of Voice Assistants
Journal article
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Strategic Research Themes
Publication Details
Author list: Faruk, Lawal Ibrahim Dutsinma; Babakerkhell, Mohammad Dawood; Mongkolnam, Pornchai;
Chongsuphajaisiddhi, Vithida; Funilkul, Suree; Pal, Debajyoti
Publisher: Institute of Electrical and Electronics Engineers
Publication year: 2024
Journal: IEEE Access (2169-3536)
Volume number: 12
Start page: 14893
End page: 14917
Number of pages: 25
ISSN: 2169-3536
eISSN: 2169-3536
Languages: English-Great Britain (EN-GB)
Abstract
The use of Voice Assistants (VA) in both commercial and personal contexts has experienced significant growth, emphasizing the importance of assessing their user experience (UX) for long-term viability. Currently, the development of appropriate scales that capture user viewpoints after interacting with a system has become a popular method for measuring UX of the Graphical User Interface (GUI) systems. However, the applicability of these scales that are meant for GUI systems on VA is still questionable, hence the need for analyzing the nature of previous scales used for measuring UX of VA. Additionally, in order to keep track of the state of UX research in the VA domain, it is crucial to understand the dimensions of UX that are being utilized. In this study, a comprehensive Systematic Literature Review (SLR) was carried out to identify 21 individual scales used for measuring UX of VA. Furthermore, this study present the evaluation criteria for assessing the rigor of operationalization during the development of these scales. The study analysis reveals that the scales used for measuring UX of VA extends beyond the traditional VUDA (value, usability, desirability, adoptability) principles and incorporates novel aspects such as anthropomorphism and machine personality. Future VA UX researchers should also acknowledge the variations in the rigorous measures employed during scale development, notwithstanding some common and accepted practices. Consequently, an overview is provided, along with suggestions for prospective studies in the field of VA UX research. © 2013 IEEE.
Keywords
Factor Analysis, Reliability, Scale, User Experience, Voice Assistant
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