While the visualization community has made great strides over the last few decades, visualization research has traditionally centered on certain user groups, notably individuals without disabilities, overlooking the diverse capabilities and needs of a broader range of people. The disparities in sensory, cognitive, and motor abilities lead to unequal access to data visualization and the underlying data.
Data has become an integral part of our lives and holds immense potential to influence how we work, live, and engage with the world. Data visualization has proven a powerful tool for gaining and communicating insights, as well as supporting informed decision-making across various domains and contexts. The inequitable access to data and data visualization significantly affects education and employment, as well as health and lifestyle. Recognizing the urgent need to address this significant equity issue, research communities have put increasing efforts towards making data visualization accessible to people with disabilities. We aspire not only to amplify this trend but also to more broadly consider inclusive data experiences. This goes beyond data visualization to understand broader interactions between data and people so that everyone can equitably access and benefit from data.
This special issue aims to foster novel insights and advancements for inclusive data experiences. We invite submissions that examine various needs and challenges, introduce innovative approaches and solutions, present robust methodologies and evaluations, and offer visions and viewpoints, among other things.
Topics of interest include, but not limited to:
Important Submission Instructions:
As of 18 Decemeber 2024, IEEE Computer Graphics and Applications will use the IEEE Author Portal for all new submissions.
Please be sure to select the special issue or special section name when you submit your article. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts. If requested, abstracts should be sent by email to the guest editors directly.
Contact the guest editors at cga4-2025@computer.org.
