The nature of people’s online activities has gone through dramatic changes in past decades, yet browser interfaces have stayed largely the same since tabs were introduced nearly 20 years ago. The divide between browser interfaces that only provide affordances for managing individual tabs and users who manage their attention at the task level can lead to an “tab overload” problem. We explored a task-centric tab manager called which enables users to save their open tabs to manage them with task structures and affordances that better reflect their mental models. To lower the cost of importing, Tabs.do uses a neural network in the browser to make suggestions for grouping users’ open tabs by tasks.
ACM UIST 2021 (conditional)