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Interact. Intell. Syst."],"published-print":{"date-parts":[[2024,12,31]]},"abstract":"<jats:p>\n            Scholars need to keep up with an exponentially increasing flood of scientific papers. To aid this challenge, we introduce\n            <jats:sc>Scim<\/jats:sc>\n            , a novel intelligent interface that helps scholars skim papers to rapidly review and gain a cursory understanding of its contents.\n            <jats:sc>Scim<\/jats:sc>\n            supports the skimming process by highlighting salient content within a paper, directing a scholar\u2019s attention. These automatically-extracted highlights are faceted by content type, evenly-distributed across a paper, and have a density configurable by scholars. We evaluate\n            <jats:sc>Scim<\/jats:sc>\n            with an in-lab usability study and a longitudinal diary study, revealing how its highlights facilitate the more efficient construction of a conceptualization of a paper. Finally, we describe the process of scaling highlights from their conception within\n            <jats:sc>Scim<\/jats:sc>\n            , a research prototype, to production on over 521,000 papers within the Semantic Reader, a publicly-available augmented reading interface for scientific papers. We conclude by discussing design considerations and tensions for the design of future skimming tools with augmented intelligence.\n          <\/jats:p>","DOI":"10.1145\/3665648","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T07:29:58Z","timestamp":1716449398000},"page":"1-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights"],"prefix":"10.1145","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0612-5782","authenticated-orcid":false,"given":"Raymond","family":"Fok","sequence":"first","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6998-9863","authenticated-orcid":false,"given":"Luca","family":"Soldaini","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6317-6968","authenticated-orcid":false,"given":"Cassidy","family":"Trier","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2212-2959","authenticated-orcid":false,"given":"Erin","family":"Bransom","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4634-1010","authenticated-orcid":false,"given":"Kelsey","family":"MacMillan","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6054-1688","authenticated-orcid":false,"given":"Evie","family":"Cheng","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9620-1533","authenticated-orcid":false,"given":"Hita","family":"Kambhamettu","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5460-9047","authenticated-orcid":false,"given":"Jonathan","family":"Bragg","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1804-2853","authenticated-orcid":false,"given":"Kyle","family":"Lo","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4346-1603","authenticated-orcid":false,"given":"Marti A.","family":"Hearst","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1523-3347","authenticated-orcid":false,"given":"Andrew","family":"Head","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3255-0109","authenticated-orcid":false,"given":"Daniel S.","family":"Weld","sequence":"additional","affiliation":[{"name":"Allen Institute for AI, Seattle, WA, USA and University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,12,16]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"1","volume-title":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Abrams Mitchell","year":"2022","unstructured":"Mitchell Abrams and Matthias Scheutz. 2022. 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