screen reader
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2022 ◽  
Vol 29 (2) ◽  
pp. 1-42
Author(s):  
Maitraye Das ◽  
Anne Marie Piper ◽  
Darren Gergle

Collaborative writing tools have been used widely in professional and academic organizations for many years. Yet, there has not been much work to improve screen reader access in mainstream collaborative writing tools. This severely affects the way people with vision impairments collaborate in ability-diverse teams. As a step toward addressing this issue, the present article aims at improving screen reader representation of collaborative features such as comments and track changes (i.e., suggested edits). Building on our formative interviews with 20 academics and professionals with vision impairments, we developed auditory representations that indicate comments and edits using non-speech audio (e.g., earcons, tone overlay), multiple text-to-speech voices, and contextual presentation techniques. We then performed a systematic evaluation study with 48 screen reader users that indicated that non-speech audio, changing voices, and contextual presentation can potentially improve writers’ collaboration awareness. We discuss implications of these results for the design of accessible collaborative systems.


2021 ◽  
Author(s):  
Ather Sharif ◽  
Sanjana Shivani Chintalapati ◽  
Jacob O. Wobbrock ◽  
Katharina Reinecke

2021 ◽  
Author(s):  
Gonçalo Ferreira Lobo ◽  
David Gonçalves ◽  
Pedro Pais ◽  
Tiago Guerreiro ◽  
André Rodrigues
Keyword(s):  

2021 ◽  
Vol 14 (2) ◽  
pp. 1-32
Author(s):  
Claire Kearney-Volpe ◽  
Amy Hurst

There are a growing number of jobs related to web development, yet there is little formal literature about the accessibility of web development with a screen reader. This article describes research to explore (1) web development accessibility issues and their impact on blind learners and programmers; (2) tools and strategies used to address issues; and (3) opportunities for creating inclusive web development curriculum and supportive tools. We conducted a Comprehensive Literature Review (CLR) to formulate accessibility issue categories, then interviewed 12 blind programmers to validate and expand on both issues in education and practice. The CLR yielded five issue categories: (1) visual information without an accessible equivalent, (2) orienting, (3) navigating, (4) lack of support, and (5) knowledge and use of supportive technologies. Our interview findings validated the use of CLR-derived categories and revealed nuances specific to learning and practicing web development. Blind web developers grapple with the inaccessibility of demonstrations and explanations of web design concepts, wireframing software, independent verification of computed Cascading Style Sheets (CSS), and navigating browser-based developer tool interfaces. Tools and strategies include seeking out alternative education materials to learn independently, use of CSS frameworks, collaboration with sighted colleagues, and avoidance of design and front-end development. This work contributes to our understanding of accessibility issues specific to web development and the strategies that blind web developers employ in both educational and applied contexts. We identify areas in which greater awareness and application of accessibility best practices are required in Web education, a need to disseminate existing screen reader strategies and accessible tools, and to develop new tools that support Web design and validation of CSS. Finally, this research signals future directions for the development of accessible web curriculum and supportive tools, including solutions that leverage artificial intelligence, tactile graphics, and supportive-online communities of practice.


2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Danielle Bragg ◽  
Katharina Reinecke ◽  
Richard E. Ladner

As conversational agents and digital assistants become increasingly pervasive, understanding their synthetic speech becomes increasingly important. Simultaneously, speech synthesis is becoming more sophisticated and manipulable, providing the opportunity to optimize speech rate to save users time. However, little is known about people’s abilities to understand fast speech. In this work, we provide an extension of the first large-scale study on human listening rates, enlarging the prior study run with 453 participants to 1,409 participants and adding new analyses on this larger group. Run on LabintheWild, it used volunteer participants, was screen reader accessible, and measured listening rate by accuracy at answering questions spoken by a screen reader at various rates. Our results show that people who are visually impaired, who often rely on audio cues and access text aurally, generally have higher listening rates than sighted people. The findings also suggest a need to expand the range of rates available on personal devices. These results demonstrate the potential for users to learn to listen to faster rates, expanding the possibilities for human-conversational agent interaction.


Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 953
Author(s):  
Uran Oh ◽  
Hwayeon Joh ◽  
YunJung Lee

A number of studies have been conducted to improve the accessibility of images using touchscreen devices for screen reader users. In this study, we conducted a systematic review of 33 papers to get a holistic understanding of existing approaches and to suggest a research road map given identified gaps. As a result, we identified types of images, visual information, input device and feedback modalities that were studied for improving image accessibility using touchscreen devices. Findings also revealed that there is little study how the generation of image-related information can be automated. Moreover, we confirmed that the involvement of screen reader users is mostly limited to evaluations, while input from target users during the design process is particularly important for the development of assistive technologies. Then we introduce two of our recent studies on the accessibility of artwork and comics, AccessArt and AccessComics, respectively. Based on the identified key challenges, we suggest a research agenda for improving image accessibility for screen reader users.


Author(s):  
Uran Oh ◽  
Hwayeon Joh ◽  
Yunjung Lee

A number of studies have been conducted to improve the accessibility of images using touchscreen devices for screen reader users. In this study, we conducted a systematic review of 33 papers to get a holistic understanding of existing approaches and to suggest a research road map given identified gaps. As a result, we identified types of images, visual information, input device and feedback modalities that were studied for improving image accessibility using touchscreen devices. Findings also revealed that little has studied how to automate the generation of image-related information, and that screen reader users play important roles during the evaluation but the design process. Then we introduce two of our recent studies on the accessibility of artwork and comics, AccessArt and AccessComics respectively. Based on the identified key challenges, we suggest a research agenda for improving image accessibility for screen reader users.


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