{"id":"https://openalex.org/W2942161347","doi":"https://doi.org/10.1145/3290605.3300460","title":"AILA","display_name":"AILA","publication_year":2019,"publication_date":"2019-04-29","ids":{"openalex":"https://openalex.org/W2942161347","doi":"https://doi.org/10.1145/3290605.3300460","mag":"2942161347"},"language":"en","primary_location":{"id":"doi:10.1145/3290605.3300460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023333354","display_name":"Minsuk Choi","orcid":"https://orcid.org/0000-0002-6181-3051"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsuk Choi","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010990715","display_name":"Cheonbok Park","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheonbok Park","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110592494","display_name":"Soyoung Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soyoung Yang","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043705804","display_name":"Yonggyu Kim","orcid":"https://orcid.org/0009-0008-9952-2226"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yonggyu Kim","raw_affiliation_strings":["Ajou University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047912015","display_name":"Jaegul Choo","orcid":"https://orcid.org/0000-0003-1071-4835"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaegul Choo","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059548204","display_name":"Sung-Soo Hong","orcid":"https://orcid.org/0000-0001-6050-5404"},"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":"Sungsoo Ray Hong","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2962,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9164258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006782531738281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6578486561775208},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6206501126289368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5390642881393433},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5025832653045654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5010559558868408},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4217846393585205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06658655405044556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006782531738281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578486561775208},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6206501126289368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5390642881393433},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5025832653045654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5010559558868408},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4217846393585205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06658655405044556},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290605.3300460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W30830889","https://openalex.org/W1514535095","https://openalex.org/W1972170794","https://openalex.org/W2003238113","https://openalex.org/W2016874080","https://openalex.org/W2022204871","https://openalex.org/W2035009028","https://openalex.org/W2064675550","https://openalex.org/W2118615399","https://openalex.org/W2120615054","https://openalex.org/W2127058057","https://openalex.org/W2128272608","https://openalex.org/W2130196635","https://openalex.org/W2133564696","https://openalex.org/W2135415614","https://openalex.org/W2138199375","https://openalex.org/W2144415203","https://openalex.org/W2144515331","https://openalex.org/W2157289187","https://openalex.org/W2160660844","https://openalex.org/W2162409443","https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2251830157","https://openalex.org/W2410465342","https://openalex.org/W2470673105","https://openalex.org/W2540392403","https://openalex.org/W2582561810","https://openalex.org/W2594164625","https://openalex.org/W2602753196","https://openalex.org/W2607311634","https://openalex.org/W2753079413","https://openalex.org/W2795893050","https://openalex.org/W2799406519","https://openalex.org/W2896967904","https://openalex.org/W2962800561","https://openalex.org/W3126072720","https://openalex.org/W4205184193","https://openalex.org/W4237040408","https://openalex.org/W4254752086"],"related_works":["https://openalex.org/W1569283511","https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2465918047","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W4236193183","https://openalex.org/W2375008505","https://openalex.org/W2086348228"],"abstract_inverted_index":{"Document":[0],"labeling":[1,32,70,106,117,138,160],"is":[2],"a":[3,21,36,53,61,71,83,101],"critical":[4],"step":[5,14],"in":[6,60,130],"building":[7],"various":[8],"machine":[9],"learning":[10],"applications.":[11],"However,":[12],"the":[13,109,116,120,124,143,148,153,158],"can":[15],"be":[16,99],"time-consuming":[17],"and":[18,119,127],"arduous,":[19],"requiring":[20],"significant":[22],"amount":[23],"of":[24,85,112],"human":[25],"efforts.":[26],"To":[27],"support":[28,82],"an":[29],"efficient":[30],"document":[31,62],"environment,":[33],"we":[34],"present":[35],"system":[37],"called":[38],"Attentive":[39],"Interactive":[40,49],"Labeling":[41],"Assistant":[42],"(AILA).":[43],"In":[44],"its":[45],"core,":[46],"AILA":[47],"uses":[48],"Attention":[50],"Module":[51],"(IAM),":[52],"novel":[54],"module":[55],"that":[56,63,97,136],"visually":[57],"highlights":[58],"words":[59,87,96],"labelers":[64,93],"may":[65],"pay":[66],"attention":[67,103],"to":[68,88,94,107],"when":[69],"document.":[72],"IAM":[73,129,146],"utilizes":[74],"attention-based":[75],"Deep":[76],"Neural":[77],"Networks":[78],"which":[79,86],"not":[80],"only":[81],"prediction":[84],"highlight":[89],"but":[90],"also":[91],"enable":[92],"indicate":[95],"should":[98],"assigned":[100],"high":[102],"weight":[104],"while":[105,152],"improve":[108],"future":[110],"quality":[111],"word":[113],"prediction.We":[114],"evaluated":[115],"efficiency":[118,139],"accuracy":[121],"by":[122],"comparing":[123],"conditions":[125,155],"with":[126,145],"without":[128,150],"our":[131],"study.":[132],"The":[133],"results":[134],"showed":[135],"participants'":[137],"increased":[140],"significantly":[141],"under":[142],"condition":[144,149],"than":[147],"IAM,":[151],"two":[154],"maintained":[156],"roughly":[157],"same":[159],"accuracy.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-05-03T00:00:00"}