{"id":"https://openalex.org/W2111009050","doi":"https://doi.org/10.1145/2207676.2208620","title":"LemonAid","display_name":"LemonAid","publication_year":2012,"publication_date":"2012-05-05","ids":{"openalex":"https://openalex.org/W2111009050","doi":"https://doi.org/10.1145/2207676.2208620","mag":"2111009050"},"language":"en","primary_location":{"id":"doi:10.1145/2207676.2208620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2207676.2208620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI 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/A5051092148","display_name":"Parmit K. Chilana","orcid":"https://orcid.org/0009-0007-0173-1752"},"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":"Parmit K. Chilana","raw_affiliation_strings":["University of Washington, Seattle, Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037160778","display_name":"Amy J. Ko","orcid":"https://orcid.org/0000-0001-7461-4783"},"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":"Amy J. Ko","raw_affiliation_strings":["University of Washington, Seattle, Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086377685","display_name":"Jacob O. Wobbrock","orcid":"https://orcid.org/0000-0003-3675-5491"},"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":"Jacob O. Wobbrock","raw_affiliation_strings":["University of Washington, Seattle, Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1549","last_page":"1558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.8434877395629883},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.6169883012771606},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6043519377708435},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5833938717842102},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5826380848884583},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5164970755577087},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.4600159823894501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17831474542617798},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07419389486312866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434877395629883},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.6169883012771606},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6043519377708435},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5833938717842102},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5826380848884583},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5164970755577087},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4600159823894501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17831474542617798},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07419389486312866},{"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/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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2207676.2208620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2207676.2208620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1582058909","https://openalex.org/W1967873612","https://openalex.org/W1969920297","https://openalex.org/W1970381522","https://openalex.org/W1984565341","https://openalex.org/W1994059239","https://openalex.org/W2036925928","https://openalex.org/W2042616792","https://openalex.org/W2059216172","https://openalex.org/W2063789864","https://openalex.org/W2088613107","https://openalex.org/W2104749423","https://openalex.org/W2106338250","https://openalex.org/W2106568252","https://openalex.org/W2114103606","https://openalex.org/W2114628141","https://openalex.org/W2116436752","https://openalex.org/W2116705992","https://openalex.org/W2118597825","https://openalex.org/W2129410131","https://openalex.org/W2131137325","https://openalex.org/W2132930719","https://openalex.org/W2135555017","https://openalex.org/W2137818181","https://openalex.org/W2139374478","https://openalex.org/W2141613588","https://openalex.org/W2150662287","https://openalex.org/W2151401338","https://openalex.org/W2157025439","https://openalex.org/W2157922094","https://openalex.org/W2161052636","https://openalex.org/W2162429645","https://openalex.org/W2165612380","https://openalex.org/W2168298345","https://openalex.org/W3121647552","https://openalex.org/W3122078363","https://openalex.org/W3144497507","https://openalex.org/W4213268568","https://openalex.org/W4297733432"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2357241418","https://openalex.org/W2329452785","https://openalex.org/W2356380379","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2363925233","https://openalex.org/W2115485936","https://openalex.org/W2094305077","https://openalex.org/W2150967192"],"abstract_inverted_index":{"Web-based":[0],"technical":[1,18],"support":[2,19],"such":[3],"as":[4],"discussion":[5],"forums":[6],"and":[7,95,121,140],"social":[8],"networking":[9],"sites":[10],"have":[11],"been":[12],"successful":[13],"at":[14],"ensuring":[15],"that":[16,58,78,102,107,132],"most":[17],"questions":[20,94],"eventually":[21],"receive":[22],"helpful":[23],"answers.":[24,98],"Unfortunately,":[25],"finding":[26],"these":[27],"answers":[28],"is":[29,81,106],"still":[30],"quite":[31],"difficult,":[32],"since":[33],"users'":[34],"textual":[35],"queries":[36],"are":[37],"often":[38],"incomplete,":[39],"imprecise,":[40],"or":[41,72],"use":[42],"different":[43,122,125],"vocabularies":[44],"to":[45,56,61,83,90,110],"describe":[46],"the":[47,115,166],"same":[48],"problem.":[49,85],"We":[50],"present":[51],"LemonAid,":[52],"a":[53,67,134,146],"new":[54],"approach":[55],"help":[57,63,119,126,151],"allows":[59],"users":[60,108],"find":[62],"by":[64],"instead":[65],"selecting":[66],"label,":[68],"widget,":[69],"link,":[70],"image":[71],"other":[73],"user":[74],"interface":[75,116],"(UI)":[76],"element":[77],"they":[79],"believe":[80],"relevant":[82,163],"their":[84,96],"LemonAid":[86,104,144],"uses":[87],"this":[88],"selection":[89],"retrieve":[91],"previously":[92],"asked":[93],"corresponding":[97],"The":[99],"key":[100],"insight":[101],"makes":[103],"work":[105],"tend":[109],"make":[111],"similar":[112,118],"selections":[113,123,156],"in":[114,165],"for":[117,124,148],"needs":[120],"needs.":[127],"Our":[128],"initial":[129],"evaluation":[130],"shows":[131],"across":[133],"corpus":[135],"of":[136,138,142,150,158],"dozens":[137],"tasks":[139],"thousands":[141],"requests,":[143],"retrieved":[145],"result":[147],"90%":[149],"requests":[152],"based":[153],"on":[154],"UI":[155],"and,":[157],"those,":[159],"over":[160],"half":[161],"had":[162],"matches":[164],"top":[167],"2":[168],"results.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}