宣布：Skeleton，我博士研究的集大成之作
Frank Elavsky 博士论文成果 Skeleton 被 IEEE VIS 2026 接收。针对视障数据体验创作难题，团队开发了可视化工具，让健全人也能直观编辑图表的非视觉导航结构。研究发现，当设计师能看见并操作这些非视觉元素时，会将同等重视，并主动迭代优化视觉与非视觉体验。 
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收藏别再吹嘘“AI只是工具，关键看怎么用”了
作者从HCI博士研究视角，犀利反驳“AI只是工具，关键在于怎么用”这一流行观点。指出该说法掩盖了AI在环境破坏、数据盗窃及对人类认知塑造上的系统性危害。文章引用海德格尔技术哲学，强调工具并非中性，而是通过设计反向塑造使用者。对于关注AI伦理、技术社会影响及批判性思维的读者，提供了超越常规“提示词技巧”的深度思考框架。
论文终稿完成：关于“博士毕业”的三个版本
CMU HCI博士Frank Elavsky梳理了博士毕业的三个里程碑：通过答辩被社会认可、学校正式归档文件、以及最后的学位服加冕仪式。作者结合自己从CMU去Cal Poly任教的经历，指出官方流程可能滞后于答辩数月，且不同学科在仪式中的颜色代表含义不同。这对正在经历或关注学术生涯路径的读者提供了清晰的阶段性视角。
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