Scrapbook: Screenshot-Based Bookmarks for Effective Digital Resource Curation across Applications
Donghan Hu, Sang Won Lee

TL;DR
Scrapbook introduces a screenshot-based bookmarking system that enhances resource retrieval across multiple applications by providing rich visual cues, improving productivity for knowledge workers.
Contribution
It presents a novel cross-application resource curation method using screenshots, addressing limitations of traditional bookmarks and histories.
Findings
Participants found Scrapbook helpful for resource curation.
Multimodal cues improved recall of computer activities.
System facilitated efficient reconstruction of work contexts.
Abstract
Modern knowledge workers typically need to use multiple resources, such as documents, web pages, and applications, at the same time. This complexity in their computing environments forces workers to restore various resources in the course of their work. However, conventional curation methods like bookmarks, recent document histories, and file systems place limitations on effective retrieval. Such features typically work only for resources of one type within one application, ignoring the interdependency between resources needed for a single task. In addition, text-based handles do not provide rich cues for users to recognize their associated resources. Hence, the need to locate and reopen relevant resources can significantly hinder knowledge workers' productivity. To address these issues, we designed and developed Scrapbook, a novel application for digital resource curation across…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
