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Contribution Details
| Type | Master's Thesis |
| Scope | Discipline-based scholarship |
| Title | Automated Tab Organization |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2020 |
| Abstract Text | Modern knowledge work is increasingly reliant on online resources. Web browsers are, however, not optimized for the task-based workflows and information gathering needs of knowledge workers. We propose an approach that supports users in curating groups of browser tabs that belong to a task, helping them with task switching and resumption. Furthermore, based on users’ browser behavior, we automatically derive such groups and propose them for addition. An in situ user study showed that users like the approach and would continue using such a system, but that there are challenges ahead in providing relevant and reusable suggestions. |
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