Usability Assessment of Voice-Enabled Technologies for Users with Visual Disabilities

Voice-enabled technologies such as VoiceOver (screen reader) and the Seeing AI app (image recognition) have revolutionized daily tasks for people with visual disabilities, fostering greater independence and information access. However, a gap remains in understanding the user experience (UX) of these technologies. This study investigated how those with visual disabilities interacted with VoiceOver and the Seeing AI app. A convenience sample of eight participants with visual disabilities engaged in direct observations while using these technologies. The study utilized the System Usability Scale (SUS) to assess perceived usability and analyzed findings using descriptive statistics. Results indicated a poorer UX with VoiceOver compared to the Seeing AI app, with challenges identified in graphical user interfaces (GUIs), voice and gesture commands. Relevant recommendations were made to enhance usability. The study emphasizes the need for more intuitive GUIs and optimized voice/gesture interactions for users with visual disabilities.

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Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-12
DOI
https://doi.org/10.1177/10711813241260395
Citations
1
Primary Topic
Digital Accessibility for Disabilities
Type
article
Field-Weighted Citation Impact
2.19

Funders

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article

Usability Assessment of Voice-Enabled Technologies for Users with Visual Disabilities

Hyung Nam Kim
1 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Digital Accessibility for Disabilities
2.19
article

Usability Assessment of Voice-Enabled Technologies for Users with Visual Disabilities

Hyung Nam Kim
article en
1 citations

Abstract

Voice-enabled technologies such as VoiceOver (screen reader) and the Seeing AI app (image recognition) have revolutionized daily tasks for people with visual disabilities, fostering greater independence and information access. However, a gap remains in understanding the user experience (UX) of these technologies. This study investigated how those with visual disabilities interacted with VoiceOver and the Seeing AI app. A convenience sample of eight participants with visual disabilities engaged in direct observations while using these technologies. The study utilized the System Usability Scale (SUS) to assess perceived usability and analyzed findings using descriptive statistics. Results indicated a poorer UX with VoiceOver compared to the Seeing AI app, with challenges identified in graphical user interfaces (GUIs), voice and gesture commands. Relevant recommendations were made to enhance usability. The study emphasizes the need for more intuitive GUIs and optimized voice/gesture interactions for users with visual disabilities.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
North Carolina Agricultural and Technical State University (US)
National Science Foundation
Openalex Percentile: Top 14%
Digital Accessibility for Disabilities
2.19
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