Deaf students face a persistent visual attention split between signer and instructional materials. Although virtual reality (VR) is often promoted as an educational solution, it typically reinforces hearing norms (e.g., caption overlays or interpreter boxes onto hearing classrooms). Our work foregrounds Deaf leadership and reclaims VR design authority: in a mixed-hearing team led by Deaf scholars, we designed and evaluated a VR classroom prototype featuring three signer-placement modes: corner, parallel, and transparent. Twelve Deaf participants explored the prototype during a 15-minute lecture and participated in qualitative semi-structured interviews. Participants reported reduced attention split and improved visibility, and suggested VR may support flexibility and comprehension in Deaf learning. From these reflections, we introduce a five-dimension conceptual framework—proximity, customizability, visual efficiency, cultural fit, and task flexibility—that organizes how Deaf signers evaluate signer placements. This work moves Deaf Tech theory into practice, opening pathways for future Deaf-centered, culturally grounded HCI.

Virtual reality (VR) delivers immersive and engaging experiences, yet accessibility remains a significant barrier for users with disabilities. Although prior research has identified key challenges and proposed solutions, it is unclear whether the advances have been adopted in real-world applications. We systematically evaluated current accessibility in Meta Quest 3 applications, analyzing interaction modes and support for mobility, auditory, visual, and cognitive impairments. Our findings reveal significant gaps: many apps lack critical accessibility features, particularly for vision, fine motor control, and audio accessibility, which are absent or minimally supported. This inconsistency suggests that accessibility is often treated as an optional enhancement rather than a core requirement. These results underscore the urgent need for standardized accessibility guidelines and inclusive design practices in VR development.

When digital content is tested for photosensitive safety and is found to contain seizure-inducing strobes or flashing lights, warnings about photosensitive risk are usually shown to the user prior to viewing the content. These photosensitivity warnings are an important accessibility feature for people with photosensitive epilepsy, allowing them to avoid interacting with content that may trigger seizures. However, little is known about how these warnings should be structured to maximize effectiveness in helping with people PSE navigate visual media safely. The design space for photosensitivity warnings is vast and includes questions such as what details to include about strobing light sequences or the content itself, where to place warnings within an interface, and what methods to use to extract information about the strobing light sequences (e.g., crowdsourced or automated methods). In this work, we contribute a thematic analysis of crowdsourced warnings drawn from the DoesTheDogDie online forum and an interview study with five people who have been diagnosed with photosensitive epilepsy about design considerations for photosensitivity warnings on digital platforms. To guide our interviews, we assembled examples of both crowdsourced and automated warnings about seizure-inducing content in films. Automated warnings were presented in the form of a high fidelity sketch demonstrating what an automated system for photosensitivity warnings might look like when deployed by a film streaming platform. We contribute design suggestions for the structure, content, and data sourcing of photosensitivity warnings for visual media based on the findings of our interviews. The results of this work will enable more effective and informative photosensitivity warnings across all forms of digital visual media.

Fused Deposition Modeling (FDM) is a low-cost method of 3D printing that involves stacking horizontal layers of plastic. FDM is used to produce tactile graphics and interfaces for people with visual impairments. Unfortunately, the print orientation can alter the structure and quality of braille and text. The difference between printing braille vertically and horizontally has been documented. However, we found no comprehensive study of these angles or the angles in between, nor any study providing a quantitative and qualitative user evaluation. We conducted two mixed-methods studies to evaluate the performance of braille printed at different angles. We measured reading time and subjective preference and performed a thematic analysis of participants’ responses. Our participants were faster using and preferred 75° and vertical braille over horizontal braille. These results provide makers with guidelines for creating models with readable 3D-printed braille.

Virtual reality (VR) systems have grown in popularity as an immersive modality for daily activities such as gaming, socializing, and working. However, this technology is not always accessible for people with photosensitive epilepsy (PSE) who may experience seizures or other adverse symptoms when exposed to certain light stimuli (e.g., flashes or strobes). How can VR be made more inclusive and safer for people with PSE? In this paper, we report on a series of semi-structured interviews about current perceptions of accessibility in VR among people with PSE. We identify 12 barriers to accessibility that fall into four categories: physical VR equipment, VR interfaces and content, specific VR applications, and individual differences in sensitivity. Our findings allow researchers and practitioners to better understand the meaning of photosensitive accessibility in the context of VR, and provide a step towards enabling people with PSE to enjoy the benefits offered by immersive technology.

Immersive analytics has emerged as a promising research area, leveraging advances in immersive display technologies and techniques, such as virtual and augmented reality, to facilitate data exploration and decision-making. This paper presents a systematic literature review of 73 studies published between 2013-2022 on immersive analytics systems and visualizations, aiming to identify and categorize the primary dimensions influencing their design. We identified five key dimensions: Academic Theory and Contribution, Immersive Technology, Data, Spatial Presentation, and Visual Presentation. Academic Theory and Contribution assess the motivations behind the works and their theoretical frameworks. Immersive Technology examines the display and input modalities, while Data dimension focuses on dataset types and generation. Spatial Presentation discusses the environment, space, embodiment, and collaboration aspects in IA, and Visual Presentation explores the visual elements, facet and position, and manipulation of views. By examining each dimension individually and cross-referencing them, this review uncovers trends and relationships that help inform the design of immersive systems visualizations. This analysis provides valuable insights for researchers and practitioners, offering guidance in designing future immersive analytics systems and shaping the trajectory of this rapidly evolving field.

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 article, 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 involved, 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.

Internet routing is largely dependent on Border Gateway Protocol (BGP). However, BGP does not have any inherent authentication or integrity mechanisms that help make it secure. Effective security is challenging or infeasible to implement due to high costs, policy employment in these distributed systems, and unique routing behavior. Visualization tools provide an attractive alternative in lieu of traditional security approaches. Several BGP security visualization tools have been developed as a stop-gap in the face of ever-present BGP attacks. Even though the target users, tasks, and domain remain largely consistent across such tools, many diverse visualization designs have been proposed. The purpose of this study is to provide an initial formalization of methods and visualization techniques for BGP cybersecurity analysis. Using PRISMA guidelines, we provide a systematic review and survey of 29 BGP visualization tools with their tasks, implementation techniques, and attacks and anomalies that they were intended for. We focused on BGP visualization tools as the main inclusion criteria to best capture the visualization techniques used in this domain while excluding solely algorithmic solutions and other detection tools that do not involve user interaction or interpretation. We take the unique approach of connecting (1) the actual BGP attacks and anomalies used to validate existing tools with (2) the techniques employed to detect them. In this way, we contribute an analysis of which techniques can be used for each attack type. Furthermore, we can see the evolution of visualization solutions in this domain as new attack types are discovered. This systematic review provides the groundwork for future designers and researchers building visualization tools for providing BGP cybersecurity, including an understanding of the state-of-the-art in this space and an analysis of what techniques are appropriate for each attack type. Our novel security visualization survey methodology-connecting visualization techniques with appropriate attack types-may also assist future researchers conducting systematic reviews of security visualizations. All supplemental materials are available at https://osf.io/tupz6/.

Accessibility guidelines place restrictions on the use of animations and interactivity on webpages to lessen the likelihood of webpages inadvertently producing sequences with flashes, patterns, or color changes that may trigger seizures for individuals with photosensitive epilepsy. Online data visualizations often incorporate elements of animation and interactivity to create a narrative, engage users, or encourage exploration. These design guidelines have been empirically validated by perceptual studies in visualization literature, but the impact of animation and interaction in visualizations on users with photosensitivity, who may experience seizures in response to certain visual stimuli, has not been considered. We systematically gathered and tested 1,132 interactive and animated visualizations for seizure-inducing risk using established methods and found that currently available methods for determining photosensitive risk are not reliable when evaluating interactive visualizations, as risk scores varied significantly based on the individual interacting with the visualization. To address this issue, we introduce a theoretical model defining the degree of control visualization designers have over three determinants of photosensitive risk in potentially seizure-inducing sequences: the size, frequency, and color of flashing content. Using an analysis of 375 visualizations hosted on bl.ocks.org, we created a theoretical model of photosensitive risk in visualizations by arranging the photosensitive risk determinants according to the degree of control visualization authors have over whether content exceeds photosensitive accessibility thresholds. We then use this model to propose a new method of testing for photosensitive risk that focuses on elements of visualizations that are subject to greater authorial control - and are therefore more robust to variations in the individual user - producing more reliable risk assessments than existing methods when applied to interactive visualizations. A full copy of this paper and all study materials are available at https://osf.io/8kzmg/.

Abstract Likert scales are often used in visualization evaluations to produce quantitative estimates of subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to collect, analyze, and visualize data collected with Likert scales are inconsistent among evaluations in visualization papers. In this paper, we examine the use of Likert scales as a tool for measuring subjective response in a systematic review of 134 visualization evaluations published between 2009 and 2019. We find that papers with both objective and subjective measures do not hold the same reporting and analysis standards for both aspects of their evaluation, producing less rigorous work for the subjective qualities measured by Likert scales. Additionally, we demonstrate that many papers are inconsistent in their interpretations of Likert data as discrete or continuous and may even sacrifice statistical power by applying nonparametric tests unnecessarily. Finally, we identify instances where key details about Likert item construction with the potential to bias participant responses are omitted from evaluation methodology reporting, inhibiting the feasibility and reliability of future replication studies. We summarize recommendations from other fields for best practices with Likert data in visualization evaluations, based on the results of our survey. A full copy of this paper and all supplementary material are available at https://osf.io/exbz8/ .

Despite recent improvements in online accessibility, the Internet remains an inhospitable place for users with photosensitive epilepsy, a chronic condition in which certain light stimuli can trigger seizures and even lead to death in extreme cases. In this paper, we explore how current risk detection systems have allowed attackers to take advantage of design oversights and target vulnerable users with photosensitivity on popular social media platforms. Through interviews with photosensitive individuals and a critical review of existing systems, we constructed design requirements for consumer-driven protective systems and developed a prototype browser extension for actively detecting and disarming potentially seizure-inducing GIFs and videos. We validate our system with a comprehensive dataset of simulated GIFs and GIFs collected from social media. Finally, we conduct a novel quantitative analysis of the prevalence of seizure-inducing GIFs across popular social media platforms and contribute recommendations for improving online accessibility for individuals with photosensitivity. All study materials are available at https://osf.io/5a3dy/.