{"id":"https://openalex.org/W4396241911","doi":"https://doi.org/10.1145/3637370","title":"Meeting Effectiveness and Inclusiveness: Large-scale Measurement, Identification of Key Features, and Prediction in Real-world Remote Meetings","display_name":"Meeting Effectiveness and Inclusiveness: Large-scale Measurement, Identification of Key Features, and Prediction in Real-world Remote Meetings","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4396241911","doi":"https://doi.org/10.1145/3637370"},"language":"en","primary_location":{"id":"doi:10.1145/3637370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637370","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","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/A5002945413","display_name":"Yasaman Hosseinkashi","orcid":"https://orcid.org/0009-0004-6420-7067"},"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":true,"raw_author_name":"Yasaman Hosseinkashi","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0004-6420-7067","affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061320164","display_name":"Lev Tankelevitch","orcid":"https://orcid.org/0000-0003-1286-5194"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lev Tankelevitch","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1286-5194","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017354178","display_name":"Jamie Pool","orcid":"https://orcid.org/0009-0003-1424-9448"},"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":"Jamie Pool","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0003-1424-9448","affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068040769","display_name":"Ross Cutler","orcid":"https://orcid.org/0000-0002-2004-3003"},"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":"Ross Cutler","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2004-3003","affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015597413","display_name":"Chinmaya Madan","orcid":"https://orcid.org/0009-0001-2616-7242"},"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":"Chinmaya Madan","raw_affiliation_strings":["IC3-AI, Microsoft, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0009-0001-2616-7242","affiliations":[{"raw_affiliation_string":"IC3-AI, Microsoft, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002945413"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":6.1088,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9625353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"CSCW1","first_page":"1","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10970","display_name":"Team Dynamics and Performance","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10970","display_name":"Team Dynamics and Performance","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12028","display_name":"Knowledge Management and Sharing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6921105980873108},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6334505677223206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5549677610397339},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4996030330657959},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.49898386001586914},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.485045850276947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47040778398513794},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38817650079727173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1048332154750824},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1005145013332367},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09870046377182007}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6921105980873108},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6334505677223206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5549677610397339},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4996030330657959},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.49898386001586914},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.485045850276947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47040778398513794},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38817650079727173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1048332154750824},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1005145013332367},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09870046377182007},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637370","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1895063068","https://openalex.org/W1939414048","https://openalex.org/W1967367636","https://openalex.org/W1976967341","https://openalex.org/W1984156354","https://openalex.org/W2001296914","https://openalex.org/W2003614598","https://openalex.org/W2011224407","https://openalex.org/W2020402688","https://openalex.org/W2034660663","https://openalex.org/W2057965640","https://openalex.org/W2060725634","https://openalex.org/W2083186017","https://openalex.org/W2104468743","https://openalex.org/W2106968553","https://openalex.org/W2116746427","https://openalex.org/W2120220258","https://openalex.org/W2124901240","https://openalex.org/W2125950502","https://openalex.org/W2156435103","https://openalex.org/W2169097200","https://openalex.org/W2197818482","https://openalex.org/W2237648451","https://openalex.org/W2249366305","https://openalex.org/W2259757196","https://openalex.org/W2292974053","https://openalex.org/W2324872341","https://openalex.org/W2327304978","https://openalex.org/W2335184019","https://openalex.org/W2476821336","https://openalex.org/W2517839752","https://openalex.org/W2621532439","https://openalex.org/W2773008572","https://openalex.org/W2797728052","https://openalex.org/W2891503716","https://openalex.org/W2896631577","https://openalex.org/W2896735034","https://openalex.org/W2969968060","https://openalex.org/W2997977587","https://openalex.org/W3104852103","https://openalex.org/W3116918724","https://openalex.org/W3123767778","https://openalex.org/W3128611391","https://openalex.org/W3130426944","https://openalex.org/W3132199833","https://openalex.org/W3134022737","https://openalex.org/W3136944856","https://openalex.org/W3143450176","https://openalex.org/W3159799903","https://openalex.org/W3211671206","https://openalex.org/W4200041497","https://openalex.org/W4211104602","https://openalex.org/W4213080937","https://openalex.org/W4214522784","https://openalex.org/W4225094739","https://openalex.org/W4281670037","https://openalex.org/W4281726552","https://openalex.org/W4293077412","https://openalex.org/W4297539934","https://openalex.org/W4298304654","https://openalex.org/W4304091724","https://openalex.org/W6687202956"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W2982428536","https://openalex.org/W2394308601"],"abstract_inverted_index":{"Workplace":[0],"meetings":[1,29,51,147],"are":[2],"vital":[3],"to":[4,33,79,137],"organizational":[5,150],"collaboration,":[6],"yet":[7],"relatively":[8],"little":[9],"progress":[10],"has":[11],"been":[12],"made":[13],"toward":[14],"measuring":[15],"meeting":[16,99,107,121],"effectiveness":[17,87,100,142],"and":[18,27,49,64,88,101,113,140,143],"inclusiveness":[19,89,102,144],"at":[20,148],"scale.":[21,151],"The":[22],"recent":[23],"rise":[24],"in":[25,58,90,145],"remote":[26],"hybrid":[28],"represents":[30],"an":[31,47,149],"opportunity":[32],"do":[34],"so":[35],"via":[36],"computer-mediated":[37],"communication":[38],"(CMC)":[39],"systems.":[40],"Here,":[41],"we":[42,93,110],"share":[43],"the":[44,68,76,81,117,128,134],"results":[45,70],"of":[46,62,98,120],"effective":[48],"inclusive":[50],"survey":[52,69],"embedded":[53],"within":[54],"a":[55,59,95],"CMC":[56,77],"system":[57,78],"diverse":[60],"set":[61],"companies":[63],"organizations.":[65],"We":[66],"correlate":[67],"with":[71],"objective":[72,106],"metrics":[73],"available":[74],"from":[75],"identify":[80],"generalizable":[82],"attributes":[83],"that":[84],"characterize":[85],"perceived":[86],"meetings.":[91],"Additionally,":[92],"explore":[94],"predictive":[96],"model":[97],"based":[103],"solely":[104],"on":[105],"attributes.":[108],"Lastly,":[109],"show":[111],"challenges":[112],"discuss":[114],"solutions":[115],"around":[116],"subjective":[118],"measurement":[119],"experiences.":[122],"To":[123],"our":[124],"knowledge,":[125],"this":[126],"is":[127],"largest":[129],"data-driven":[130],"study":[131],"conducted":[132],"after":[133],"pandemic":[135],"peak":[136],"measure,":[138],"understand,":[139],"predict":[141],"real-world":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}