Human-data interaction (HDI) presents fundamentally different challenges from traditional data management. HDI systems must meet latency, correctness, and consistency needs that stem from usability rather than query semantics; failing to meet these expectations breaks the user experience. Moreover, interfaces and systems are tightly coupled; neither can easily be optimized in isolation, and effective solutions demand their co-design. This dependence also presents a research opportunity: rather than adapt systems to interface demands, systems innovations and database theory can also inspire new interaction and visualization designs. We survey a decade of our lab's work that embraces this coupling and argue that HDI systems are the foundation for reliable, interactive, AI-driven applications.

翻译：人机数据交互（HDI）带来了与传统数据管理根本不同的挑战。HDI系统必须满足源于可用性而非查询语义的延迟、正确性与一致性需求；未能满足这些预期将破坏用户体验。此外，界面与系统紧密耦合：两者难以独立优化，有效的解决方案需要协同设计。这种依赖性也带来了研究机遇：与其让系统适应界面需求，系统创新与数据库理论同样能够启发新的交互与可视化设计。本文综述了我们实验室十年来围绕这一耦合关系展开的研究工作，并论证HDI系统是构建可靠、交互式、AI驱动应用的基础。