AI 中文总结
研究针对浏览器标签组织同步性差的问题，提出混合主动方法Ito，通过实时意图检测生成动态Flows，经实验验证可提升任务管理效率并减轻负担。
AI 中文摘要
人们在浏览网页时通常会穿插进行多项活动，且往往同时进行，活动边界相互重叠。然而现代浏览器的组织原语对所有标签一视同仁，无法感知哪些标签用于何种用途。虽然存在基于任务的组织方法，但这些方法通常需要用户手动组织或调用重组功能，且会随着用户意图的演变很快不同步。为解决该问题，我们提出Ito，一种混合主动方法，可实时推断用户意图并将浏览活动组织为名为Flows的动态集合。Ito持续读取不断变化的用户上下文，确定用户时刻的注意力焦点，实时创建、重组、休眠和唤醒Flows，同时通过包含提议与修正的混合主动循环保留用户控制权。在受控实验室研究（N=12）和为期两周的实地研究（N=11）中，结果表明Ito的意图驱动型Flows与参与者的心智模型更契合，能更有效地促进任务切换和导航，减轻管理负担，且不会丧失感知控制权。
英文摘要
People routinely interleave activities while browsing the web, often simultaneously and with overlapping boundaries. Yet organizational primitives in modern browsers treat every tab uniformly, offering no structural awareness of which items serve which purpose. While task-based organization approaches exist, they typically require users to manually organize or invoke reorganization features, and quickly fall out of sync as user intents evolve. To address this, we present Ito, a mixed-initiative approach that infers user intent in real time and organizes browsing activities into dynamic collections called Flows. Ito continuously reads unfolding user context, determines moment-to-moment focus, and creates, restructures, hibernates, and awakens Flows in real time while preserving user control through a mixed-initiative loop of proposals and corrections. In a controlled lab study (N=12) and a two-week field study (N=11), results suggest that Ito's intent-driven Flows aligned more closely with participants' mental models, facilitated task switching and navigation more effectively, and reduced management burden without loss of perceived control.
