Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi T. Iqbal, Victor Poznanski, Mark J. Encarnación, Paul N. Bennett, Jaime Teevan
Abstract
People often capture photos or notes from their phones to integrate later into a document. But current mobile capture tools can make this hard, with the captured information ending up fragmented and decontextualized. This paper explores how to help document authors capture, contextualize, and use document-related information. A survey of 66 information workers reveals that document-focused information capture differs from other types of mobile information capture, and that while people capture a broad range of information types while mobile, most document-related capture comes in the form of photos, notes, and bookmarks. Based on this survey we built Scraps, which consists of two parts: 1) a mobile app that makes it easy for people to capture and add context to information from their phone, and 2) a Word sidebar that helps them later link that information to a document on their desktop. In a field study with 11 information workers, we find that Scraps streamlined the process of capturing and using document-related information, and enabled people to focus on writing over integrating captured information.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 7ef27b4e-a1d4-4add-8635-9103c2577a04Cited by top-tier papers7
- Wigglite: Low-cost Information Collection and TriageMichael Xieyang Liu, Andrew Kuznetsov, Yongsung Kim, Joseph Chee Chang et al.UIST 2022 · 62 citations
- Fuse: In-Situ Sensemaking Support in the BrowserAndrew Kuznetsov, Joseph Chee Chang, Nathan Hahn, Napol Rachatasumrit et al.UIST 2022 · 29 citations
- Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language ModelsRaymond Fok, Nedim Lipka, Tong Sun, Alexa F. SiuCHI 2024 · 21 citations
- Scrapbook: Screenshot-Based Bookmarks for Effective Digital Resource Curation across ApplicationsDonghan Hu, Sang Won LeeUIST 2022 · 15 citations
- MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed RealityLeping Qiu, Erin Seongyoon Kim, Sangho Suh, Ludwig Sidenmark et al.CHI 2025 · 11 citations
Related papers
- Passages: Interacting with Text Across DocumentsHan L. Han, Junhang Yu, Raphael Bournet, Alexandre Ciorascu et al.CHI 2022 · 36 citations
- Characterizing Stage-aware Writing Assistance for Collaborative Document AuthoringBahareh Sarrafzadeh, Sujay Kumar Jauhar, Michael Gamon, Edward Lank et al.CSCW 2020 · 12 citations
- Documented: Embedding Information onto and Retrieving Information from 3D Printed ObjectsOmid Ettehadi, Fraser Anderson, Adam R. Tindale, Sowmya SomanathCHI 2021 · 21 citations
- CoCapture: Effectively Communicating UI Behaviors on Existing Websites by Demonstrating and RemixingYan Chen, Sang Won Lee, Steve OneyCHI 2021 · 12 citations
- CrossData: Leveraging Text-Data Connections for Authoring Data DocumentsChen Zhu-Tian, Haijun XiaCHI 2022 · 41 citations
