μGraph: Haptic Exploration and Editing of 3D Chemical Diagrams

Bernareggi, Cristian; Ahmetovic, Dragan; Mascetti, Sergio

doi:10.1145/3308561.3353811

Cited by 13 publications

(3 citation statements)

References 22 publications

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“…Similarly, within education, numerous accessible data representations tailored to the BLV community, such as accessible diagrams [97], [119], [120], generating textual descriptions [121], or auditory graphs for STEM courses [122], have been developed to facilitate learning [69], [104]. In one instance from our 34paper corpus, we found where data representations were explored to support math skills in students with learning disabilities [65].…”

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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“…Digital documents containing mathematical formulae accessible through Braille displays, screen readers or magnifcation can be prepared using LaTeX typesetting language [1] or created as web pages using MathML and MathJax [9]. Digital tactile or haptic visualizations can also be created with force-feedback devices [6] and paper tactile representations can be augmented with additional auditory content [19].…”

Section: Accessible Math Learning Materialsmentioning

confidence: 99%

Proceedings of the 18th International Web for All Conference

2021

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This paper describes the design, implementation and outcomes of a teaching activity in high school setting, aimed at supporting a student with visual impairments in learning Mathematics and promoting inclusive learning involving all other students. The teaching activity was defned following an adoption-centered approach. During the initial needs-fnding stage, we explored the available instruments for inclusive access and authoring of mathematical formulae, and we identifed the LaTeX typesetting language as the instrument of choice. The use of LaTeX was motivated by the fact that it provides a textual representation of mathematical content, thus making it accessible through standard assistive technologies, such as Braille displays and screen readers. LaTeX is also widely used in higher education to author scientifc documents, and therefore constitutes a useful skill for future education and employment of all students. We then defned the main steps needed for addressing the topic during a traditional high school mathematical curriculum, and scheduled them in relation to other teaching activities.The students had no difculties in following the teaching activity, including learning and using LaTeX, and most were eager to apply the acquired skills for authoring lab reports and homework. However, the acceptance of the assistive tool by the student with visual impairments was low. Additionally, most of the other teachers displayed high resistance to change and therefore were not interested in supporting the activity and integrating it with their classes. We highlight the key fndings and limitations of the project, and discuss possible improvements over the current approach. CCS CONCEPTS• Human-centered computing → Empirical studies in accessibility; Accessibility systems and tools; • Social and professional topics → People with disabilities.

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“…Second, the proposed technology can make scientific charts and figures more accessible to blind or visually impaired readers. Researchers have developed technologies to assist the blind to navigate graphical content, such as data visualization charts (Swaminathan et al, 2014), printed physical maps (Swaminathan et al, 2016), 3D chemical diagrams (Bernareggi et al, 2019), and images on social media (Wu et al, 2017;Salisbury et al, 2017). However, only a few prior works focused on scientific figures.…”

Section: Introductionmentioning

confidence: 99%

SciCap: Generating Captions for Scientific Figures

Hsu¹,

Giles²,

Huang³

2021

Preprint

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Researchers use figures to communicate rich, complex information in scientific papers. The captions of these figures are critical to conveying effective messages. However, low-quality figure captions commonly occur in scientific articles and may decrease understanding. In this paper, we propose an end-to-end neural framework to automatically generate informative, high-quality captions for scientific figures. To this end, we introduce SCICAP, 1 a largescale figure-caption dataset based on computer science arXiv papers published between 2010 and 2020. After pre-processing -including figure-type classification, sub-figure identification, text normalization, and caption text selection -SCICAP contained more than two million figures extracted from over 290,000 papers. We then established baseline models that caption graph plots, the dominant (19.2%) figure type. The experimental results showed both opportunities and steep challenges of generating captions for scientific figures.

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μGraph: Haptic Exploration and Editing of 3D Chemical Diagrams

Cited by 13 publications

References 22 publications

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations

Proceedings of the 18th International Web for All Conference

SciCap: Generating Captions for Scientific Figures

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