Currently submitted to: JMIR Human Factors
Date Submitted: Mar 20, 2026
Open Peer Review Period: Apr 6, 2026 - Jun 1, 2026
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Developing the SUISQ-RVI for streamlined usability assessment of modern speech interfaces: exploratory factor analysis pilot study
ABSTRACT
Background:
The proliferation of AI-driven voice chatbots necessitates updated methods for usability assessment. While the Speech User Interface Service Quality (SUISQ) questionnaire is a comprehensive tool, its original structure may not capture the nuances of modern speech bots.
Objective:
This pilot study details an exploratory evaluation of the SUISQ and the subsequent development of a reduced version of SUISQ for Voice Interfaces (SUISQ-RVI).
Methods:
Using a dataset (N=48) from a simulated speech bot interaction, we conducted descriptive and exploratory data analyses on the full SUISQ and its previously reduced versions (SUISQ-R and SUISQ-MR).
Results:
Preliminary results indicate that the original four-factor structure may not be optimal for conversational AI contexts. Guided by our exploratory factor analysis, we reduced the original 25-item instrument to a 17-item scale demonstrating a five-factor structure. In this pilot sample, the SUISQ-RVI outperformed previous reduced versions by explaining more variance with better model fit and reliability.
Conclusions:
These initial findings suggest the SUISQ-RVI is a promising, streamlined tool for evaluating modern voice interfaces, though further confirmatory validation with larger cohorts is warranted. Clinical Trial: NOT APPLICABLE
Citation
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