{"id":"https://openalex.org/W4398252958","doi":"https://doi.org/10.1145/3665648","title":"Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights","display_name":"Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4398252958","doi":"https://doi.org/10.1145/3665648"},"language":"en","primary_location":{"id":"doi:10.1145/3665648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665648","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3665648","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066433489","display_name":"Raymond Fok","orcid":"https://orcid.org/0000-0002-0612-5782"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Fok","raw_affiliation_strings":["University of Washington, Seattle, WA, USA","University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-0612-5782","affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060844217","display_name":"Luca Soldaini","orcid":"https://orcid.org/0000-0001-6998-9863"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca Soldaini","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0000-0001-6998-9863","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038712440","display_name":"Cassidy Trier","orcid":"https://orcid.org/0000-0001-6317-6968"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cassidy Trier","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0000-0001-6317-6968","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033621195","display_name":"Erin Bransom","orcid":"https://orcid.org/0009-0006-2212-2959"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Bransom","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0009-0006-2212-2959","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081203469","display_name":"Kelsey MacMillan","orcid":"https://orcid.org/0009-0007-4634-1010"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kelsey MacMillan","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0009-0007-4634-1010","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001349710","display_name":"Evie Yu-Yen Cheng","orcid":"https://orcid.org/0009-0002-6054-1688"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evie Cheng","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0009-0002-6054-1688","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001493932","display_name":"Hita Kambhamettu","orcid":"https://orcid.org/0000-0001-9620-1533"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hita Kambhamettu","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA","University of Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-9620-1533","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038080713","display_name":"Jonathan Bragg","orcid":"https://orcid.org/0000-0001-5460-9047"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Bragg","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0000-0001-5460-9047","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066588555","display_name":"Kyle Lo","orcid":"https://orcid.org/0000-0002-1804-2853"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Lo","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA","Allen Institute for AI, USA"],"raw_orcid":"https://orcid.org/0000-0002-1804-2853","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019933387","display_name":"Marti A. Hearst","orcid":"https://orcid.org/0000-0002-4346-1603"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marti A. Hearst","raw_affiliation_strings":["UC Berkeley, Berkeley, CA, USA","UC Berkeley, USA"],"raw_orcid":"https://orcid.org/0000-0002-4346-1603","affiliations":[{"raw_affiliation_string":"UC Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003473641","display_name":"Andrew Head","orcid":"https://orcid.org/0000-0002-1523-3347"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Head","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA","University of Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-1523-3347","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085011940","display_name":"Daniel S. Weld","orcid":"https://orcid.org/0000-0002-3255-0109"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel S. Weld","raw_affiliation_strings":["Allen Institute for AI, Seattle, WA, USA and University of Washington, Seattle, WA, USA","Allen Institute for AI & University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-3255-0109","affiliations":[{"raw_affiliation_string":"Allen Institute for AI, Seattle, WA, USA and University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210140341"]},{"raw_affiliation_string":"Allen Institute for AI & University of Washington, USA","institution_ids":["https://openalex.org/I4210140341","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67870019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.74080491065979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907819509506226},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5993795394897461},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5403321981430054},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5252834558486938},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5204258561134338},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5156922936439514},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4706059396266937},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43465369939804077},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33062946796417236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1756141185760498},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11748534440994263}],"concepts":[{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.74080491065979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907819509506226},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5993795394897461},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5403321981430054},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5252834558486938},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5204258561134338},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5156922936439514},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4706059396266937},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43465369939804077},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33062946796417236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1756141185760498},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11748534440994263},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665648","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3665648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665648","source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8700000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317052","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398252958.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W222907813","https://openalex.org/W1486757865","https://openalex.org/W1565141760","https://openalex.org/W1700556126","https://openalex.org/W1833747146","https://openalex.org/W1866424603","https://openalex.org/W1965655304","https://openalex.org/W1967164474","https://openalex.org/W1984167366","https://openalex.org/W1993147091","https://openalex.org/W1994062254","https://openalex.org/W2010950062","https://openalex.org/W2015616287","https://openalex.org/W2028477573","https://openalex.org/W2042289101","https://openalex.org/W2083928261","https://openalex.org/W2086946288","https://openalex.org/W2091415361","https://openalex.org/W2095521617","https://openalex.org/W2096537696","https://openalex.org/W2108933707","https://openalex.org/W2122637973","https://openalex.org/W2124489423","https://openalex.org/W2135649938","https://openalex.org/W2142094977","https://openalex.org/W2148625687","https://openalex.org/W2149868499","https://openalex.org/W2151388695","https://openalex.org/W2158386658","https://openalex.org/W2165559532","https://openalex.org/W2166130518","https://openalex.org/W2218641061","https://openalex.org/W2262972580","https://openalex.org/W2272351350","https://openalex.org/W2442495973","https://openalex.org/W2690679577","https://openalex.org/W2750779823","https://openalex.org/W2769533150","https://openalex.org/W2809872492","https://openalex.org/W2904142705","https://openalex.org/W2912745464","https://openalex.org/W2913593702","https://openalex.org/W2913941020","https://openalex.org/W2914304175","https://openalex.org/W3021892802","https://openalex.org/W3099474967","https://openalex.org/W3101118213","https://openalex.org/W3113565477","https://openalex.org/W3173558867","https://openalex.org/W3183859557","https://openalex.org/W4211033381","https://openalex.org/W4221158077","https://openalex.org/W4226196222","https://openalex.org/W4234545626","https://openalex.org/W4235481569","https://openalex.org/W4236896491","https://openalex.org/W4239019441","https://openalex.org/W4242883936","https://openalex.org/W4249540773","https://openalex.org/W4256700582","https://openalex.org/W4285184572","https://openalex.org/W4300325272","https://openalex.org/W4360978613","https://openalex.org/W4389491271","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W4362575170","https://openalex.org/W1532772865","https://openalex.org/W2531253623","https://openalex.org/W2984230149","https://openalex.org/W2112095637","https://openalex.org/W2237121679","https://openalex.org/W4390616414","https://openalex.org/W2006867289","https://openalex.org/W3212890177","https://openalex.org/W1188194610"],"abstract_inverted_index":{"Scholars":[0],"need":[1],"to":[2,30,121],"keep":[3],"up":[4],"with":[5,79,154],"an":[6,80],"exponentially":[7],"increasing":[8],"flood":[9],"of":[10,38,98,101,109,150],"scientific":[11,137],"papers.":[12,138],"To":[13],"aid":[14],"this":[15],"challenge,":[16],"we":[17,105],"introduce":[18],"Scim":[19,41,78,116],",":[20,117],"a":[21,35,51,54,67,71,85,99,102,118,131],"novel":[22],"intelligent":[23],"interface":[24,135],"that":[25],"helps":[26],"scholars":[27],"skim":[28],"papers":[29,126],"rapidly":[31],"review":[32],"and":[33,69,84,145],"gain":[34],"cursory":[36],"understanding":[37],"its":[39,91],"contents.":[40],"supports":[42],"the":[43,94,107,128,148],"skimming":[44,152],"process":[45,108],"by":[46,62,74,141],"highlighting":[47],"salient":[48],"content":[49,63],"within":[50,115,127],"paper,":[52,68],"directing":[53],"scholar\u2019s":[55],"attention.":[56],"These":[57],"automatically-extracted":[58],"highlights":[59,92,111],"are":[60],"faceted":[61],"type,":[64],"evenly-distributed":[65],"across":[66],"have":[70],"density":[72],"configurable":[73],"scholars.":[75],"We":[76,139],"evaluate":[77],"in-lab":[81],"usability":[82],"study":[83],"longitudinal":[86],"diary":[87],"study,":[88],"revealing":[89],"how":[90],"facilitate":[93],"more":[95],"efficient":[96],"construction":[97],"conceptualization":[100],"paper.":[103],"Finally,":[104],"describe":[106],"scaling":[110],"from":[112],"their":[113],"conception":[114],"research":[119],"prototype,":[120],"production":[122],"on":[123],"over":[124],"521,000":[125],"Semantic":[129],"Reader,":[130],"publicly-available":[132],"augmented":[133,155],"reading":[134],"for":[136,147],"conclude":[140],"discussing":[142],"design":[143,149],"considerations":[144],"tensions":[146],"future":[151],"tools":[153],"intelligence.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}