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Updated: Jul 5, 2025
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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
Published on: April 11, 2025
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Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations
IEEE Transactions on Visualization and Computer Graphics
|January 22, 2024
Summary
This study reviews accessible data representations for diverse disabilities, moving beyond vision impairments. It highlights opportunities for inclusive data visualization and literacy for all individuals.
Area of Science:
- Human-Computer Interaction
- Data Visualization
- Disability Studies
Background:
- Data literacy is crucial in an increasingly data-driven world.
- Accessible data representations are vital for individuals with disabilities.
- Existing research predominantly addresses visual impairments, neglecting other disability groups.
Purpose of the Study:
- To broaden the scope of accessible data representation research beyond vision impairments.
- To systematically review literature focusing on underrepresented disability communities.
- To identify future research directions in inclusive data visualization.
Main Methods:
- Conducted a systematic review of 152 papers from ACM and IEEE databases.
- Focused on the 22% of papers addressing disabilities other than vision impairments.
- Developed categorical dimensions (accessibility, visualization, HCI) for paper classification.
Main Results:
- Identified key dimensions for classifying accessible data representation research.
- Highlighted the limited focus on non-visual disabilities in current literature.
- Established a foundation for understanding and advancing accessible data representations for a wider audience.
Conclusions:
- Accessible data representations need to cater to a broader spectrum of disabilities.
- Further research is essential to develop and implement inclusive data visualization techniques.
- This work redefines accessible data representations by including non-visual impairments.
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