{"id":"https://openalex.org/W2913657201","doi":null,"title":"Proceedings of the ACM SIGKDD Workshop on Human Computation","display_name":"Proceedings of the ACM SIGKDD Workshop on Human Computation","publication_year":2009,"publication_date":"2009-06-28","ids":{"openalex":"https://openalex.org/W2913657201","mag":"2913657201"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-034213912","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/action/showBook?doi=10.1145%2F1600150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},"volume":null,"type":"other","is_traditional":false,"indexed_in":[],"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/A5102869952","display_name":"Paul N. Bennett","orcid":"https://orcid.org/0000-0002-8846-5480","observed_orcids":["https://orcid.org/0000-0002-8846-5480"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul N. Bennett","raw_affiliation_strings":["Microsoft Research#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-8846-5480","affiliations":[{"raw_affiliation_string":"Microsoft Research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058403100","display_name":"Raman Chandrasekar","orcid":"https://orcid.org/0000-0002-2755-0745","observed_orcids":["https://orcid.org/0000-0002-2755-0745"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raman Chandrasekar","raw_affiliation_strings":["Microsoft Research#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-2755-0745","affiliations":[{"raw_affiliation_string":"Microsoft Research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040497430","display_name":"Max Chickering","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Max Chickering","raw_affiliation_strings":["[Microsoft Corporation]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Microsoft Corporation]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010731709","display_name":"Panagiotis G. Ipeirotis","orcid":"https://orcid.org/0000-0002-2966-7402","observed_orcids":["https://orcid.org/0000-0002-2966-7402"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panagiotis G. Ipeirotis","raw_affiliation_strings":["New York University<sup>**</sup>"],"raw_orcid":"https://orcid.org/0000-0002-2966-7402","affiliations":[{"raw_affiliation_string":"New York University<sup>**</sup>","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058482884","display_name":"Edith Law","orcid":"https://orcid.org/0000-0002-7540-075X","observed_orcids":["https://orcid.org/0000-0002-7540-075X"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edith Law","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070188137","display_name":"Anton Mityagin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anton Mityagin","raw_affiliation_strings":["[Microsoft Corporation]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Microsoft Corporation]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037283651","display_name":"Foster John Provost","orcid":"https://orcid.org/0000-0002-0307-3884","observed_orcids":["https://orcid.org/0000-0002-0307-3884"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Foster Provost","raw_affiliation_strings":["New York University<sup>**</sup>"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University<sup>**</sup>","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104092531","display_name":"Luis von Ahn","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis von Ahn","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965999722480774,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.00019999999494757503,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-computation","display_name":"human computation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"crowdsourcing","score":0.949999988079071},{"id":"https://openalex.org/keywords/games-with-a-purpose","display_name":"games with a purpose","score":0.8870000243186951},{"id":"https://openalex.org/keywords/recaptcha","display_name":"reCAPTCHA","score":0.7480000257492065},{"id":"https://openalex.org/keywords/amazon-mechanical-turk","display_name":"Amazon Mechanical Turk","score":0.8529999852180481},{"id":"https://openalex.org/keywords/identity-verification","display_name":"identity verification","score":0.7429999709129333},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.5189999938011169},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"user-generated content","score":0.6209999918937683},{"id":"https://openalex.org/keywords/game-theory","display_name":"game theory","score":0.6740000247955322},{"id":"https://openalex.org/keywords/labeling-cost","display_name":"labeling cost","score":0.8999999761581421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130052089691162},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7824164628982544},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6261007189750671},{"id":"https://openalex.org/C163339463","wikidata":"https://www.wikidata.org/wiki/Q484598","display_name":"CAPTCHA","level":2,"score":0.6208932399749756},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5231465101242065},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5160303115844727},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48411333560943604},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4558405578136444},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4416617155075073},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4303056299686432},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3677119016647339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3672284185886383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09382674098014832},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-034213912","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/action/showBook?doi=10.1145%2F1600150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},{"id":"mag:2913657201","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1600150","pdf_url":null,"source":{"id":"https://openalex.org/S4306420424","display_name":"Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Knowledge Discovery and Data Mining","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7019745660","https://openalex.org/W2075107023","https://openalex.org/W2319747706","https://openalex.org/W7099718032","https://openalex.org/W172306365","https://openalex.org/W2124266823","https://openalex.org/W2563644480","https://openalex.org/W2092719662","https://openalex.org/W2170989440","https://openalex.org/W2900519307"],"abstract_inverted_index":{"Most":[0],"research":[1,81,240],"in":[2,45,135,165,180,211,229,249,310,350],"data":[3,35,98,145],"mining":[4],"and":[5,53,71,260,271,280,329,348,369,372],"knowledge":[6,54],"discovery":[7,52],"relies":[8],"heavily":[9],"on":[10,23,48,257],"the":[11,16,24,41,46,64,73,85,89,127,136,252,265,326,333,338,343,351],"availability":[12],"of":[13,19,31,43,66,75,87,116,138,190,201,283,291,318,337,342],"datasets.":[14],"With":[15],"rapid":[17],"growth":[18],"user":[20],"generated":[21],"content":[22],"internet,":[25],"there":[26,56,224,232],"is":[27,78,196,233,264,294],"now":[28],"an":[29,140],"abundance":[30],"sources":[32],"from":[33,314],"which":[34,198],"can":[36,109,300],"be":[37,346],"drawn.":[38],"Compared":[39],"to":[40,93,162,176,182,208,220,237,274],"amount":[42],"work":[44,228],"field":[47],"techniques":[49],"for":[50,69,167,307],"pattern":[51],"extraction,":[55],"has":[57,225],"been":[58,226,357],"relatively":[59],"little":[60],"effort":[61],"directed":[62],"at":[63],"study":[65],"effective":[67],"methods":[68],"collecting":[70],"evaluating":[72],"quality":[74],"data.\r\n\r\nHuman":[76],"computation":[77,118,157,179,194,278,304],"a":[79,124,187,192,295,315],"new":[80,285],"area":[82],"that":[83,103,159,213],"studies":[84],"process":[86,137],"channeling":[88],"vast":[90],"internet":[91],"population":[92],"perform":[94,163,177],"tasks":[95,164],"or":[96],"provide":[97],"towards":[99],"solving":[100],"difficult":[101],"problems":[102],"no":[104,234],"known":[105],"efficient":[106],"computer":[107],"algorithms":[108],"yet":[110],"solve.":[111],"There":[112],"are":[113,155],"various":[114],"genres":[115],"human":[117,156,193,277,303],"applications":[119,158,279],"available":[120],"today.":[121],"Games":[122],"with":[123,222,251],"purpose":[125],"(e.g.,":[126,146],"ESP":[128],"Game)":[129],"specifically":[130],"target":[131],"online":[132,185],"gamers":[133],"who,":[134],"playing":[139],"enjoyable":[141],"game,":[142],"generate":[143],"useful":[144],"image":[147],"tags).":[148],"Crowdsourcing":[149],"marketplaces":[150],"(e.g.":[151],"Amazon":[152],"Mechanical":[153],"Turk)":[154],"coordinate":[160],"workers":[161],"exchange":[166],"monetary":[168],"rewards.":[169],"In":[170,365],"identity":[171],"verification":[172],"tasks,":[173],"users":[174,202],"need":[175],"some":[178,184],"order":[181],"access":[183],"content;":[186],"recent":[188],"example":[189],"such":[191],"application":[195],"reCAPTCHA,":[197],"leverages":[199],"millions":[200],"who":[203],"solve":[204],"CAPTCHAs":[205],"every":[206],"day":[207],"correct":[209],"words":[210],"books":[212],"optical":[214],"character":[215],"recognition":[216],"(OCR)":[217],"programs":[218],"fail":[219],"recognize":[221],"certainty.\r\n\r\nWhile":[223],"active":[227],"this":[230,284,292],"area,":[231],"dedicated":[235],"forum":[236],"discuss":[238,275],"these":[239],"ideas.":[241],"The":[242,353],"Human":[363],"Computation":[244,364],"Workshop":[245],"(HCOMP":[246],"2009),":[247],"held":[248],"conjunction":[250],"15th":[253],"ACM":[254],"SIGKDD":[255],"Conference":[256],"Knowledge":[258],"Discovery":[259],"Data":[261],"Mining":[262],"(KDD),":[263],"first":[266],"workshop":[267,293],"bringing":[268],"together":[269],"academic":[270],"industry":[272],"researchers":[273],"existing":[276],"future":[281],"directions":[282],"subject":[286],"area.":[287],"An":[288],"integral":[289],"part":[290],"demo":[296],"session":[297],"where":[298],"participants":[299],"showcase":[301],"their":[302],"applications.\r\n\r\nOur":[305],"call":[306],"papers":[308,321,355],"resulted":[309],"33":[311],"high-quality":[312],"submissions":[313,344],"wide":[316],"variety":[317],"perspectives.":[319],"All":[320],"were":[322],"thoroughly":[323],"reviewed":[324],"by":[325],"program":[327],"committee":[328],"external":[330],"reviewers.":[331],"Given":[332],"short,":[334],"half-day":[335],"duration":[336],"workshop,":[339],"only":[340],"one-third":[341],"could":[345],"accommodated":[347],"appear":[349],"proceedings.":[352],"accepted":[354],"have":[356],"divided":[358],"into":[359],"four":[360],"sessions:":[361],"Games,":[362],"Practice,":[366],"Game":[367],"Theory":[368],"Labeling":[370],"Cost":[371],"Efficiency.":[373]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2019-02-21T00:00:00"}