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McGookin, David; Brewster, Stephen

doi:10.1145/1182475.1182491

Cited by 28 publications

(2 citation statements)

References 19 publications

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“…Another pivotal insight from BLV research is the importance of rigorous experimentation when evaluating the accuracy and usability of alternative data representations. Researchers in this field conduct thorough empirical studies, often employing quantitative and qualitative methods to validate their proposed solutions [70], [108], [109]. This process typically involves tasks designed to evaluate how effectively participants can understand and use the data representations, often examining their accuracy, speed, and satisfaction in performing these tasks [70], [108], [109].…”

Section: Bridging the Gap: Insights From Blv-focused Accessible Data ...mentioning

confidence: 99%

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

et al. 2024

Preprint

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The increasing ubiquity of data in everyday life has elevated the importance of data literacy and accessible data representations, particularly for individuals with disabilities. While prior research predominantly focuses on the needs of the visually impaired, our survey aims to broaden this scope by investigating accessible data representations across a more inclusive spectrum of disabilities. After conducting a systematic review of 152 accessible data representation papers from ACM and IEEE databases, we found that roughly 78% of existing articles center on vision impairments. In this paper, we conduct a comprehensive review of the remaining 22% of papers focused on underrepresented disability communities. We developed categorical dimensions based on accessibility, visualization, and human-computer interaction to classify the papers. These dimensions include the community of focus, issues addressed, contribution type, study methods, participants, data type, visualization type, and data domain. Our work redefines accessible data representations by illustrating their application for disabilities beyond those related to vision. Building on our literature review, we identify and discuss opportunities for future research in accessible data representations. All supplemental materials are available at https://osf.io/yv4xm/?view_only=b36a3fbf7a14b3888029966faa3def9.

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Section: Bridging the Gap: Insights From Blv-focused Accessible Data ...mentioning

confidence: 99%

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Wimer,

South,

et al. 2024

Preprint

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“…Research projects that explore tactile sensory substitutions have been a topic in computational sciences dating back to the 1983 [GSF83], with tactile sensory substitutions being used for maps and charts as far back as the 1830s [Hal]. Sonification used both in comparison to and alongside visualization and tactile methods for accessibility dates as far back as 1985 [MBJ85,FBT97,Bre02,MB06,ZPSL08,CM19]. Some more recent work has explored robust screen reader data interaction techniques [GMS18,Sor16], screen reader user experiences with digital, 2-D spatial representations, including data visualizations [SHW21, SCWR21], dug deeper into the semantic layers of effective chart descriptions [LS22], and investigated how to better understand the role of sensory substitution [CPR * 22].…”

Section: Research Advancements In Data Visualization and Accessibilitymentioning

confidence: 99%

How accessible is my visualization? Evaluating visualization accessibility with Chartability

Elavsky

Bennett

Moritz

2022

Computer Graphics Forum

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Novices and experts have struggled to evaluate the accessibility of data visualizations because there are no common shared guidelines across environments, platforms, and contexts in which data visualizations are authored. Between non‐specific standards bodies like WCAG, emerging research, and guidelines from specific communities of practice, it is hard to organize knowledge on how to evaluate accessible data visualizations. We present Chartability, a set of heuristics synthesized from these various sources which enables designers, developers, researchers, and auditors to evaluate data‐driven visualizations and interfaces for visual, motor, vestibular, neurological, and cognitive accessibility. In this paper, we outline our process of making a set of heuristics and accessibility principles for Chartability and highlight key features in the auditing process. Working with participants on real projects, we found that data practitioners with a novice level of accessibility skills were more confident and found auditing to be easier after using Chartability. Expert accessibility practitioners were eager to integrate Chartability into their own work. Reflecting on Chartability's development and the preliminary user evaluation, we discuss tradeoffs of open projects, working with high‐risk evaluations like auditing projects in the wild, and challenge future research projects at the intersection of visualization and accessibility to consider the broad intersections of disabilities.

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Exploring the Effectiveness of Electrotactile Feedback for Data Visualization for Blind and Visually Impaired Users

Milallos,

Oh,

Peiris

2024

Lecture Notes in Computer Science

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Cited by 28 publications

References 19 publications

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

How accessible is my visualization? Evaluating visualization accessibility with Chartability

Exploring the Effectiveness of Electrotactile Feedback for Data Visualization for Blind and Visually Impaired Users

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