Validation of system usability scale as a usability metric to evaluate voice user interfaces.

Adjective rating scale System usability scale Usability evaluation Voice assistants Voice user interface

Journal

PeerJ. Computer science
ISSN: 2376-5992
Titre abrégé: PeerJ Comput Sci
Pays: United States
ID NLM: 101660598

Informations de publication

Date de publication:
2024
Historique:
received: 30 08 2023
accepted: 12 02 2024
medline: 4 3 2024
pubmed: 4 3 2024
entrez: 4 3 2024
Statut: epublish

Résumé

In recent years, user experience (UX) has gained importance in the field of interactive systems. To ensure its success, interactive systems must be evaluated. As most of the standardized evaluation tools are dedicated to graphical user interfaces (GUIs), the evaluation of voice-based interactive systems or voice user interfaces is still in its infancy. With the help of a well-established evaluation scale, the System Usability Scale (SUS), two prominent, widely accepted voice assistants were evaluated. The evaluation, with SUS, was conducted with 16 participants who performed a set of tasks on Amazon Alexa Echo Dot and Google Nest Mini. We compared the SUS score of Amazon Alexa Echo Dot and Google Nest Mini. Furthermore, we derived the confidence interval for both voice assistants. To enhance understanding for usability practitioners, we analyzed the Adjective Rating Score of both interfaces to comprehend the experience of an interface's usability through words rather than numbers. Additionally, we validated the correlation between the SUS score and the Adjective Rating Score. Finally, a paired sample t-test was conducted to compare the SUS score of Amazon Alexa Echo Dot and Google Nest Mini. This resulted in a huge difference in scores. Hence, in this study, we corroborate the utility of the SUS in voice user interfaces and conclude by encouraging researchers to use SUS as a usability metric to evaluate voice user interfaces.

Identifiants

pubmed: 38435614
doi: 10.7717/peerj-cs.1918
pii: cs-1918
pmc: PMC10909179
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e1918

Informations de copyright

© 2024 Deshmukh and Chalmeta.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

Auteurs

Akshay Madhav Deshmukh (AM)

Systems Integration and Re-Engineering Group (IRIS), Department of Computer Languages and Systems, Universitat Jaume I de Castellón, Castello de la Plana, Castellon, Spain.

Ricardo Chalmeta (R)

Systems Integration and Re-Engineering Group (IRIS), Department of Computer Languages and Systems, Universitat Jaume I de Castellón, Castello de la Plana, Castellon, Spain.

Classifications MeSH