An official website of the United States government
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.
more »
« less
This content will become publicly available on May 5, 2026
User Study: Smart Speakers and Visual Disabilities
This study investigates how individuals with visual disabilities and their sighted counterparts perceive user experiences with smart speakers. A sample of 79 participants, including 41 with visual disabilities and 38 sighted individuals, used Amazon Echo 4th Gen smart speakers. After participants used the smart speakers for one week in their daily lives, exit interviews were administered and analyzed, yielding themes of accessibility, effectiveness, enjoyment, efficiency, and privacy. Findings revealed that the voice user interfaces of smart speakers significantly enhanced accessibility and user satisfaction for those with visual disabilities, while the voice assistant Alexa contributed to fostering emotional connections. Sighted participants, while benefiting from the smart speaker's multifunctionality and efficiency, faced challenges with initial setup and advanced features. Individuals with visual disabilities raised privacy concerns. This study underscores the need for inclusive design improvements to address the diverse needs of all users. To improve user experience, future enhancements should focus on refining voice command accuracy, integrating predictive features, optimizing onboarding processes, and strengthening privacy controls.
more »
« less
- PAR ID:
- 10644263
- Publisher / Repository:
- The California State University
- Date Published:
- Journal Name:
- Journal on technology and persons with disabilities
- Volume:
- 13
- ISSN:
- 2330-4219
- Page Range / eLocation ID:
- 181-194
- Subject(s) / Keyword(s):
- usability, user experience, accessibility, voice assistants
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
BACKGROUND Facial expressions are critical for conveying emotions and facilitating social interaction. Yet, little is known about how accurately sighted individuals recognize emotions facially expressed by people with visual impairments in online communication settings. OBJECTIVE This study aimed to investigate sighted individuals’ ability to understand facial expressions of six basic emotions in people with visual impairments during Zoom calls. It also aimed to examine whether education on facial expressions specific to people with visual impairments would improve emotion recognition accuracy. METHODS Sighted participants viewed video clips of individuals with visual impairments displaying facial expressions. They then identified the emotions displayed. Next, they received an educational session on facial expressions specific to people with visual impairments, addressing unique characteristics and potential misinterpretations. After education, participants viewed another set of video clips and again identified the emotions displayed. RESULTS Before education, participants frequently misidentified emotions. After education, their accuracy in recognizing emotions improved significantly. CONCLUSIONS This study provides evidence that education on facial expressions of people with visual impairments can significantly enhance sighted individuals’ ability to accurately recognize emotions in online settings. This improved accuracy has the potential to foster more inclusive and effective online interactions between people with and without visual disabilities.more » « less
-
As technology is advancing, accessibility is also taken care of seriously. Many users with visual disabilities take advantage of, for example, Microsoft's Seeing AI application (app) that is equipped with artificial intelligence. The app helps people with visual disabilities to recognize objects, people, texts, and many more via a smartphone's built-in camera. As users may use the app in recognizing personally identifiable information, user privacy should carefully be treated and considered as a top priority. Yet, little is known about the user privacy issues among users with visual disabilities, such that this study aims to address the knowledge gap by conducting a questionnaire with the Seeing AI users with visual disabilities. This study found that those with visual disabilities had a lack of knowledge about user privacy policies. It is recommended to offer an adequate educational training; thus, those with visual disabilities can be well informed of user privacy policies, ultimately leading to promoting safe online behavior to protect themselves from digital privacy and security problems.more » « less
-
null (Ed.)Smart speakers such as Amazon Echo present promising opportunities for exploring voice interaction in the domain of in-home exercise tracking. In this work, we examine if and how voice interaction complements and augments a mobile app in promoting consistent exercise. We designed and developed TandemTrack, which combines a mobile app and an Alexa skill to support exercise regimen, data capture, feedback, and reminder. We then conducted a four-week between-subjects study deploying TandemTrack to 22 participants who were instructed to follow a short daily exercise regimen: one group used only the mobile app and the other group used both the app and the skill. We collected rich data on individuals' exercise adherence and performance, and their use of voice and visual interactions, while examining how TandemTrack as a whole influenced their exercise experience. Reflecting on these data, we discuss the benefits and challenges of incorporating voice interaction to assist daily exercise, and implications for designing effective multimodal systems to support self-tracking and promote consistent exercise.more » « less
-
Smart speakers come with always-on microphones to facilitate voice-based interaction. To address user privacy concerns, existing devices come with a number of privacy features: e.g., mute buttons and local trigger-word detection modules. But it is difficult for users to trust that these manufacturer-provided privacy features actually work given that there is a misalignment of incentives: Google, Meta, and Amazon benefit from collecting personal data and users know it. What’s needed is perceptible assurance — privacy features that users can, through physical perception, verify actually work. To that end, we introduce, implement, and evaluate the idea of “intentionally-powered” microphones to provide users with perceptible assurance of privacy with smart speakers. We employed an iterative-design process to develop Candid Mic, a battery-free, wireless microphone that can only be powered by harvesting energy from intentional user interactions. Moreover, users can visually inspect the (dis)connection between the energy harvesting module and the microphone. Through a within-subjects experiment, we found that Candid Mic provides users with perceptible assurance about whether the microphone is capturing audio or not, and improves user trust in using smart speakers relative to mute button interfaces.more » « less
