AI 中文总结
本文探讨认知可及性作为关键视角，审视数据可视化领域的主流假设，明确其三个核心假设，为可视化创新开辟新方向。
AI 中文摘要
数据可视化旨在增强人类认知，让不同受众都能接触到数据。随着数据越来越多地影响众多领域的参与和决策，人们愈发需要审视可视化领域的主流假设是否充分反映了人类能力、经验和需求的多样性。我们认为，认知可及性为审视这些问题提供了关键视角，可作为可视化理论的压力测试。结合认知可及性研究及我们在可访问可视化研究中的经验，我们识别出三个相互关联的假设，它们塑造了可视化研究与实践：关于可视化支持何种认知形式的假设、关于如何定义和衡量可及性的假设，以及关于设计与评估以谁的需求和能力为中心的假设。明确这些假设，能带来重新思考长期方法的机会，开辟新方向。最终，我们相信认知可及性可成为创新的催化剂，拓展可视化的支持范围、服务对象及其在人们生活中发挥的作用。
英文摘要
Data visualization aims to augment human cognition and make data accessible to diverse audiences. As data increasingly shapes participation and decision-making across many domains, there is a growing need to examine whether prevailing assumptions in visualization adequately reflect the diversity of human abilities, experiences, and needs. We argue that cognitive accessibility provides a critical lens for examining these questions and functions as a stress test for visualization theory. Drawing on cognitive accessibility research and our experiences studying accessible visualization, we identify three interconnected assumptions that shape visualization research and practice: assumptions about what forms of cognition visualization supports, how accessibility is defined and measured, and whose needs and abilities are centered in design and evaluation. Making these assumptions explicit reveals opportunities to rethink longstanding approaches and open new directions. Ultimately, we believe that cognitive accessibility can serve as a catalyst for innovation, expanding what visualization supports, whom it serves, and the roles it plays in people's lives.
CommentsAccepted to the 3rd Workshop on Accessible Visualization at IEEE VIS 2026
