Emoji Accessibility for Visually Impaired People
Abstrak
Emoji are graphical symbols that appear in many aspects of our lives. Worldwide, around 36 million people are blind and 217 million have a moderate to severe visual impairment. This portion of the population may use and encounter emoji, yet it is unclear what accessibility challenges emoji introduce. We first conducted an online survey with 58 visually impaired participants to understand how they use and encounter emoji online, and the challenges they experience. We then conducted 11 interviews with screen reader users to understand more about the challenges reported in our survey findings. Our interview findings demonstrate that technology is both an enabler and a barrier, emoji descriptors can hinder communication, and therefore the use of emoji impacts social interaction. Using our findings from both studies, we propose best practice when using emoji and recommendations to improve the future accessibility of emoji for visually impaired people.
Artikel Ilmiah Terkait
John Tang Edward Cutrell Martez E. Mott
19 April 2023
Profile pictures can convey rich social signals that are often inaccessible to blind and low vision screen reader users. Although there have been efforts to understand screen reader users’ preferences for alternative (alt) text descriptions when encountering images online, profile pictures evoke distinct information needs. We conducted semi-structured interviews with 16 screen reader users to understand their preferences for various styles of profile picture image descriptions in different social contexts. We also interviewed seven sighted individuals to explore their thoughts on authoring alt text for profile pictures. Our findings suggest that detailed image descriptions and user narrated alt text can provide screen reader users enjoyable and informative experiences when exploring profile pictures. We also identified mismatches between how sighted individuals would author alt text with what screen reader users prefer to know about profile pictures. We discuss the implications of our findings for social applications that support profile pictures.
Akhter Al Amin Sooyeon Lee Lisa B. Elliot + 3 lainnya
9 Maret 2022
Automatic Text Simplification (ATS) software aims at automatically rewrite complex text to make it simpler to read. Prior research has explored the use of ATS as a reading assistance technology, identifying benefits from providing these technologies to different groups of users, including Deaf and Hard-of-hearing (DHH) adults. However, little work has investigated the interests and requirements of specific groups of potential users of this technology. Considering prior work establishing that computing professionals often need to read about new technologies in order to stay current in their profession, in this study, we investigated the reading experiences and interests of DHH individuals with work experience in the computing industry in ATS-based reading assistance tools, as well as their perspective on the social accessibility of those tools. Through a survey and two sets of interviews, we found that these users read relatively often, especially in support of their work, and were interested in tools to assist them with complicated texts; but misperceptions arising from public use of these tools may conflict with participants’ desired image in a professional context. This empirical contribution motivates further research into ATS-based reading assistance tools for these users, prioritizing which reading activities users are most interested in seeing the application of this technology, and highlighting design considerations for creating ATS tools for DHH adults, including considerations for social accessibility.
S. Malek Ziyao He Syed Fatiul Huq + 1 lainnya
19 April 2023
It is crucial to make software, with its ever-growing influence on everyday lives, accessible to all, including people with disabilities. Despite promoting software accessibility through government regulations, development guidelines, tools and frameworks, investigations reveal a marketplace of inaccessible web and mobile applications. To better understand the limitations of contemporary software industry in adopting accessibility practices, it is necessary to construct a holistic view that combines the perspectives of software practitioners, stakeholders and end users. In this paper, we collect 637 conversations from Twitter to synthesize and qualitatively analyze discussions posted about software accessibility. Our findings observe an active community that provides feedback on inaccessible software, shares personal accounts of development practices and advocates for inclusivity. By perceiving software accessibility from process, profession and people viewpoints, we present current conventions, challenges and possible resolutions with four emergent themes: cost and incentives, awareness and advocacy, technology and resources, and integration and inclusion.
Richard E. Ladner Aashaka Desai Jennifer Mankoff
19 April 2023
Speechreading is the art of using visual and contextual cues in the environment to support listening. Often used by d/Deaf and Hard-of-Hearing (d/DHH) individuals, it highlights nuances of rich communication. However, lived experiences of speechreaders are underdocumented in HCI literature, and the impact of online environments and interactions of captioning with speechreading has not been explored in depth. We bridge these gaps through a three-part study consisting of formative interviews, design probes, and design sessions with 12 d/DHH individuals who speechread. Our primary contribution is to understand the lived experience of speechreading in online communication, and thus to better understand the richness and variety of techniques d/DHH individuals use to provision access. We highlight technical, environmental and sociocultural factors that impact communication accessibility, explore the design space of speechreading supports and share considerations for the design future of speechreading technology.
Caluã de Lacerda Pataca Matthew Watkins Matt Huenerfauth + 2 lainnya
19 April 2023
Speech is expressive in ways that caption text does not capture, with emotion or emphasis information not conveyed. We interviewed eight Deaf and Hard-of-Hearing (dhh) individuals to understand if and how captions’ inexpressiveness impacts them in online meetings with hearing peers. Automatically captioned speech, we found, lacks affective depth, lending it a hard-to-parse ambiguity and general dullness. Interviewees regularly feel excluded, which some understand is an inherent quality of these types of meetings rather than a consequence of current caption text design. Next, we developed three novel captioning models that depicted, beyond words, features from prosody, emotions, and a mix of both. In an empirical study, 16 dhh participants compared these models with conventional captions. The emotion-based model outperformed traditional captions in depicting emotions and emphasis, with only a moderate loss in legibility, suggesting its potential as a more inclusive design for captions.
Daftar Referensi
0 referensiTidak ada referensi ditemukan.
Artikel yang Mensitasi
2 sitasiVisualization Accessibility in the Wild: Challenges Faced by Visualization Designers
Kathleen Garrity Shakila Cherise S. Joyner + 3 lainnya
27 April 2022
Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. We analyzed 95 visualizations from various venues to inspect how they are made inaccessible. To understand the rationale and context behind the design choices, we also conducted surveys with 144 practitioners in the U.S. and follow-up interviews with ten selected survey participants. Our findings include the difficulties of handling modern complex and interactive visualizations and the lack of accessibility support from visualization tools in addition to personal and organizational factors making it challenging to perform accessible design practices.
Cocomix: Utilizing Comments to Improve Non-Visual Webtoon Accessibility
Juho Kim Mina Huh + 4 lainnya
29 April 2022
Webtoon is a type of digital comics read online where readers can leave comments to share their thoughts on the story. While it has experienced a surge in popularity internationally, people with visual impairments cannot enjoy webtoon with the lack of an accessible format. While traditional image description practices can be adopted, resulting descriptions cannot preserve webtoons’ unique values such as control over the reading pace and social engagement through comments. To improve the webtoon reading experience for BLV users, we propose Cocomix, an interactive webtoon reader that leverages comments into the design of novel webtoon interactions. Since comments can identify story highlights and provide additional context, we designed a system that provides 1) comments-based adaptive descriptions with selective access to details and 2) panel-anchored comments for easy access to relevant descriptive comments. Our evaluation (N=12) showed that Cocomix users could adapt the description for various needs and better utilize comments.