Data has transformative potential to empower people with Intellectual and Developmental Disabilities (IDD). However, conventional data visualizations often rely on complex cognitive processes, and existing approaches for day-to-day analysis scenarios fail to consider neurodivergent capabilities, creating barriers for people with IDD to access data and leading to even further marginalization. We argue that visualizations could be an equalizer for people with IDD to participate in data-driven conversations. Drawing on preliminary research findings and our experiences working with people with IDD and their data, we introduce and expand on the concept of cognitively accessible visualizations, unpack its meaning and roles in increasing IDD individuals' access to data, and discuss two immediate research objectives. Specifically, we argue that cognitively accessible visualizations should support people with IDD in personal data storytelling for effective self-advocacy and self-expression, and balance novelty and familiarity in data design to accommodate cognitive diversity and promote inclusivity.

翻译：数据具有赋能智力与发展障碍（IDD）人士的变革性潜力。然而，传统数据可视化往往依赖于复杂的认知过程，而现有针对日常分析场景的方法未能考虑神经多样性人群的能力特点，这为IDD人士获取数据设置了障碍，并进一步加剧了其边缘化。我们认为，可视化可以成为IDD人士参与数据驱动对话的平衡器。基于初步研究发现及与IDD人士及其数据合作的实践经验，我们引入并拓展了"认知无障碍可视化"的概念，阐释了其内涵以及在提升IDD个体数据获取能力方面的作用，并讨论了当前两大研究目标。具体而言，我们认为认知无障碍可视化应支持IDD人士通过个人数据叙事实现有效的自我倡导与自我表达，并在数据设计中平衡新颖性与熟悉度，以兼容认知多样性并促进包容性。