Screen reader

Abstract: In previous research, the computer frustrations of student and workplace users have been documented. However, the challenges faced by blind users on the Web have not been previously examined. In this study, 100 blind users, using time diaries, recorded their frustrations using the Web. The top causes of frustration reported were (a) page layout causing confusing screen reader feedback; (b) conflict between screen reader and application; (c) poorly designed/unlabeled forms; (d) no alt text for pictures; and (e) 3-way tie between misleading links, inaccessible PDF, and a screen reader crash. Most of the causes of frustration, such as inappropriate form and graphic labels and confusing page layout, are relatively simple to solve if Webmasters and Web designers focus on this effort. In addition, the more technically challenging frustrations, such as screen reader crashes and conflicts, need to be addressed by the screen reader developers. Blind users in this study were likely to repeatedly attempt to...

Abstract: From an accessibility perspective, voice-controlled, home-based intelligent personal assistants (IPAs) have the potential to greatly expand speech interaction beyond dictation and screen reader output. To examine the accessibility of off-the-shelf IPAs (e.g., Amazon Echo) and to understand how users with disabilities are making use of these devices, we conducted two exploratory studies. The first, broader study is a content analysis of 346 Amazon Echo reviews that include users with disabilities, while the second study more specifically focuses on users with visual impairments, through interviews with 16 current users of home-based IPAs. Findings show that, although some accessibility challenges exist, users with a range of disabilities are using the Amazon Echo, including for unexpected cases such as speech therapy and support for caregivers. Richer voice-based applications and solutions to support discoverability would be particularly useful to users with visual impairments. These findings should inform future work on accessible voice-based IPAs.

Abstract: We designed and deployed automatic alt-text (AAT), a system that applies computer vision technology to identify faces, objects, and themes from photos to generate photo alt-text for screen reader users on Facebook. We designed our system through iterations of prototyping and in-lab user studies. Our lab test participants had a positive reaction to our system and an enhanced experience with Facebook photos. We also evaluated our system through a two-week field study as part of the Facebook iOS app for 9K VoiceOver users. We randomly assigned them into control and test groups and collected two weeks of activity data and their survey feedback. The test group reported that photos on Facebook were easier to interpret and more engaging, and found Facebook more useful in general. Our system demonstrates that artificial intelligence can be used to enhance the experience for visually impaired users on social networking sites (SNSs), while also revealing the challenges with designing automated assistive technology in a SNS context.

Abstract: Browsing the Web with screen readers can be difficult and frustrating. Web pages often contain inaccessible content that is expressed only visually or that can be accessed only with the mouse. Screen-reader users must also contend with usability challenges encountered when the reading content is designed with built-in assumptions of how it will be accessed -- generally by a sighted person on a standard display. Far from passive consumers of content who simply accept web content as accessible or not, many screen-reader users are adept at developing, discovering, and employing browsing strategies that help them overcome the accessibility and usability problems they encounter. In this paper, we overview the browsing strategies that we have observed screen-reader users employ when faced with challenges, ranging from unfamiliar web sites and complex web pages to dynamic and automatically-refreshing content. A better understanding of existing browsing strategies can inform the design of accessible websites, development of new tools that make experienced users more effective, and help overcome the initial learning curve for users who have not yet acquired effective browsing strategies.