{"id":"https://openalex.org/W2954804475","doi":"https://doi.org/10.1109/qomex.2019.8743148","title":"Modeling Worker Performance Based on Intra-rater Reliability in Crowdsourcing : A Case Study of Speech Quality Assessment","display_name":"Modeling Worker Performance Based on Intra-rater Reliability in Crowdsourcing : A Case Study of Speech Quality Assessment","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2954804475","doi":"https://doi.org/10.1109/qomex.2019.8743148","mag":"2954804475"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2019.8743148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","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/A5103913459","display_name":"Rafael Zequeira Jim\u00e9nez","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafael Zequeira Jimenez","raw_affiliation_strings":["Quality and Usability Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality and Usability Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088133485","display_name":"Anna Llagostera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Llagostera","raw_affiliation_strings":["Rohde & Schwarz SwissQual AG, Zuchwil, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rohde & Schwarz SwissQual AG, Zuchwil, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069905492","display_name":"Babak Naderi","orcid":"https://orcid.org/0009-0006-4778-5417"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Babak Naderi","raw_affiliation_strings":["Quality and Usability Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality and Usability Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075001284","display_name":"Sebastian M\u00f6ller","orcid":"https://orcid.org/0000-0003-3057-0760"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Moller","raw_affiliation_strings":["DFKI Projektb\u00fcro, Berlin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFKI Projektb\u00fcro, Berlin","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013879623","display_name":"Jens Berger","orcid":"https://orcid.org/0000-0002-8978-5099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jens Berger","raw_affiliation_strings":["Rohde & Schwarz SwissQual AG, Zuchwil, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rohde & Schwarz SwissQual AG, Zuchwil, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":"60","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9959999918937683,"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":0.9959999918937683,"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/T10860","display_name":"Speech and Audio Processing","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9785908460617065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780971884727478},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7438574433326721},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6084339022636414},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5876778364181519},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5490099787712097},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4587341845035553},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45095694065093994},{"id":"https://openalex.org/keywords/inter-rater-reliability","display_name":"Inter-rater reliability","score":0.42221498489379883},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4161004424095154},{"id":"https://openalex.org/keywords/rating-scale","display_name":"Rating scale","score":0.20936405658721924},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20110028982162476},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10878098011016846},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10245078802108765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08975118398666382}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9785908460617065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780971884727478},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7438574433326721},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6084339022636414},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5876778364181519},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5490099787712097},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4587341845035553},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45095694065093994},{"id":"https://openalex.org/C61863361","wikidata":"https://www.wikidata.org/wiki/Q470749","display_name":"Inter-rater reliability","level":3,"score":0.42221498489379883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4161004424095154},{"id":"https://openalex.org/C83849319","wikidata":"https://www.wikidata.org/wiki/Q7295720","display_name":"Rating scale","level":2,"score":0.20936405658721924},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20110028982162476},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10878098011016846},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10245078802108765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08975118398666382},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1109/qomex.2019.8743148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W199640592","https://openalex.org/W1228173857","https://openalex.org/W1525599330","https://openalex.org/W1583475998","https://openalex.org/W1838907055","https://openalex.org/W1989351718","https://openalex.org/W2029097927","https://openalex.org/W2124379907","https://openalex.org/W2141403362","https://openalex.org/W2145147745","https://openalex.org/W2155243985","https://openalex.org/W2163031058","https://openalex.org/W2187291759","https://openalex.org/W2395622121","https://openalex.org/W2408491799","https://openalex.org/W2610105073","https://openalex.org/W2791182566","https://openalex.org/W2796514099","https://openalex.org/W2802553787","https://openalex.org/W2890184085","https://openalex.org/W3012479489","https://openalex.org/W4313047369","https://openalex.org/W6628003601","https://openalex.org/W6631297879","https://openalex.org/W6686075922","https://openalex.org/W6686812563","https://openalex.org/W6712010412","https://openalex.org/W6713691824"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Crowdsourcing":[0],"has":[1,30,91,166],"become":[2],"a":[3,12,53,80,88,113,147,151,154,175,181],"convenient":[4],"instrument":[5],"for":[6,60],"addressing":[7],"subjective":[8,61],"user":[9,74],"studies":[10],"to":[11,24,33,39,99,105,140,169,179,196],"large":[13],"amounts":[14],"of":[15,79,156,183],"users.":[16],"Data":[17],"from":[18,128],"crowdsourcing":[19,89,187],"can":[20],"be":[21,141],"corrupted":[22],"due":[23],"users'":[25,36],"neglect,":[26],"and":[27,38,72,136,164],"different":[28],"mechanisms":[29],"been":[31,92,167],"proposed":[32],"address":[34],"the":[35,66,69,73,77,119,129,137,161,171,186],"reliability":[37,56,71],"ensure":[40],"valid":[41,185],"experiments'":[42],"results.":[43],"Users":[44],"that":[45],"are":[46,58,139],"consistent":[47],"in":[48,76,94,116,146],"their":[49,106],"answers":[50],"or":[51],"present":[52],"high":[54],"intra-rater":[55,70,157],"score,":[57],"desired":[59],"studies.":[62],"This":[63],"work":[64],"investigates":[65],"relationship":[67],"between":[68,160],"performance":[75],"context":[78],"speech":[81,101,124],"quality":[82],"assessment":[83],"task.":[84],"To":[85],"this":[86],"end,":[87],"study":[90],"conducted":[93],"which":[95],"users":[96],"were":[97,110,126],"requested":[98],"rate":[100],"stimuli":[102,125],"with":[103,118,143],"respect":[104],"overall":[107],"quality.":[108],"Ratings":[109],"collected":[111,145],"on":[112],"5-point":[114],"scale":[115],"accordance":[117],"ITU-T":[120,131],"Rec.":[121,132],"P.808.":[122],"The":[123],"taken":[127],"database":[130],"P.501":[133],"Annex":[134],"D,":[135],"results":[138,188,195],"contrasted":[142],"ratings":[144,163],"laboratory":[148,194],"experiment.":[149],"Furthermore,":[150],"model":[152,176],"as":[153],"function":[155],"reliability,":[158],"root-mean-squared-deviation":[159],"listeners":[162],"age,":[165],"built":[168],"predict":[170],"listener":[172],"performance.":[173],"Such":[174],"is":[177,192],"intended":[178],"provide":[180],"measure":[182],"how":[184],"are,":[189],"when":[190],"there":[191],"no":[193],"compare":[197],"to.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}