{"id":"https://openalex.org/W3207098447","doi":"https://doi.org/10.1145/3479856","title":"Putting Tools in Their Place: The Role of Time and Perspective in Human-AI Collaboration for Qualitative Analysis","display_name":"Putting Tools in Their Place: The Role of Time and Perspective in Human-AI Collaboration for Qualitative Analysis","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3207098447","doi":"https://doi.org/10.1145/3479856","mag":"3207098447"},"language":"en","primary_location":{"id":"doi:10.1145/3479856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479856","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":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3479856","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011438930","display_name":"Jessica L. Feuston","orcid":"https://orcid.org/0000-0002-4049-3589"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica L. Feuston","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084740625","display_name":"Jed R. Brubaker","orcid":"https://orcid.org/0000-0003-4826-8324"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jed R. Brubaker","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":42.1917,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.99667351,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"5","issue":"CSCW2","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T12880","display_name":"Qualitative Research Methods and Applications","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"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/T13398","display_name":"Data Analysis with R","score":0.9718000292778015,"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/qualitative-research","display_name":"Qualitative research","score":0.7028191685676575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6323916912078857},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6151179075241089},{"id":"https://openalex.org/keywords/qualitative-analysis","display_name":"Qualitative analysis","score":0.5881951451301575},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5028561949729919},{"id":"https://openalex.org/keywords/qualitative-property","display_name":"Qualitative property","score":0.4901884198188782},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47131189703941345},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4255956709384918},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.41713863611221313},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3722308278083801},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.36375153064727783},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.2765064239501953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2734014093875885},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.23781991004943848},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.10379555821418762},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08571895956993103}],"concepts":[{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.7028191685676575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323916912078857},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6151179075241089},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.5881951451301575},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5028561949729919},{"id":"https://openalex.org/C87156501","wikidata":"https://www.wikidata.org/wiki/Q7268708","display_name":"Qualitative property","level":2,"score":0.4901884198188782},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47131189703941345},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4255956709384918},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.41713863611221313},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3722308278083801},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.36375153064727783},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2765064239501953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2734014093875885},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.23781991004943848},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.10379555821418762},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08571895956993103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1145/3479856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479856","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":{"id":"doi:10.1145/3479856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479856","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"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1391282728","display_name":"CHS: Medium: Scaling Qualitative Inductive Analysis through Computational Methods","funder_award_id":"1764089","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207098447.pdf","grobid_xml":"https://content.openalex.org/works/W3207098447.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W65833265","https://openalex.org/W144701237","https://openalex.org/W1598829572","https://openalex.org/W1601300738","https://openalex.org/W1605824561","https://openalex.org/W1803273808","https://openalex.org/W1829634234","https://openalex.org/W1971796909","https://openalex.org/W1979290264","https://openalex.org/W2052336411","https://openalex.org/W2082563645","https://openalex.org/W2087411274","https://openalex.org/W2096623936","https://openalex.org/W2149587100","https://openalex.org/W2205640179","https://openalex.org/W2252208617","https://openalex.org/W2318903536","https://openalex.org/W2415220657","https://openalex.org/W2506490502","https://openalex.org/W2546996098","https://openalex.org/W2588117145","https://openalex.org/W2604314461","https://openalex.org/W2607618454","https://openalex.org/W2756188544","https://openalex.org/W2769563773","https://openalex.org/W2787000863","https://openalex.org/W2795548522","https://openalex.org/W2795783386","https://openalex.org/W2796408370","https://openalex.org/W2796755741","https://openalex.org/W2799392675","https://openalex.org/W2809100814","https://openalex.org/W2810857251","https://openalex.org/W2811120218","https://openalex.org/W2911361540","https://openalex.org/W2935781565","https://openalex.org/W2946185626","https://openalex.org/W2958778688","https://openalex.org/W2963806078","https://openalex.org/W2970837303","https://openalex.org/W3004432237","https://openalex.org/W3005013146","https://openalex.org/W3013757805","https://openalex.org/W3019215050","https://openalex.org/W3030250000","https://openalex.org/W3071709344","https://openalex.org/W3092962367","https://openalex.org/W3116869072","https://openalex.org/W3122753382","https://openalex.org/W3135335197","https://openalex.org/W4250948876","https://openalex.org/W4281564584","https://openalex.org/W4288086168","https://openalex.org/W4288086169","https://openalex.org/W4288359828","https://openalex.org/W4300325272"],"related_works":["https://openalex.org/W1493468982","https://openalex.org/W2046541833","https://openalex.org/W2412051436","https://openalex.org/W1499806064","https://openalex.org/W2140472019","https://openalex.org/W2057857755","https://openalex.org/W2802927003","https://openalex.org/W4240869053","https://openalex.org/W2261353938","https://openalex.org/W4316090175"],"abstract_inverted_index":{"Large":[0],"datasets":[1],"or":[2],"'big":[3],"data'":[4],"corpora":[5],"are":[6,62,129],"typically":[7],"the":[8,86],"domain":[9],"of":[10,50,71,88,121],"quantitative":[11],"scholars,":[12],"who":[13],"work":[14,26,155],"with":[15,104,133],"computational":[16,29],"tools":[17,30],"to":[18,65,80,131],"derive":[19],"numerical":[20],"and":[21,31,44,98,107,143,174,189],"descriptive":[22],"insights.":[23],"However,":[24],"recent":[25],"asks":[27],"how":[28,93,113,163,175],"other":[32],"technologies,":[33],"such":[34,138],"as":[35,139,145,147],"AI,":[36],"can":[37,97,115,169],"support":[38],"qualitative":[39,60,89,109,122,127,167,181],"scholars":[40,61,94,128],"in":[41,68,135,180,186],"developing":[42],"deep":[43],"complex":[45],"insights":[46],"from":[47],"large":[48],"amounts":[49],"data.":[51],"Addressing":[52],"this":[53,75],"question,":[54],"Jiang":[55],"et":[56],"al.":[57],"found":[58],"that":[59,85,126],"generally":[63],"opposed":[64],"incorporating":[66,164],"AI":[67,96,114,134,165],"their":[69,153],"practices":[70],"data":[72,141],"analysis.":[73,123],"In":[74],"paper,":[76],"we":[77,111,161],"provide":[78],"nuance":[79],"these":[81],"earlier":[82],"findings,":[83],"showing":[84],"stage":[87],"analysis":[90,182],"matters":[91],"for":[92,140,177],"believe":[95],"should":[99],"be":[100,116],"used.":[101],"Through":[102],"interviews":[103],"15":[105],"CSCW":[106],"HCI":[108],"researchers,":[110],"explore":[112],"included":[117],"throughout":[118],"different":[119],"stages":[120],"We":[124],"find":[125],"amenable":[130],"working":[132],"diverse":[136],"ways,":[137],"exploration":[142],"coding,":[144],"long":[146],"it":[148],"assists":[149],"rather":[150],"than":[151],"automates":[152],"analytic":[154,172],"practice.":[156],"Based":[157],"on":[158],"our":[159],"analysis,":[160],"discuss":[162],"into":[166],"research":[168],"shift":[170],"some":[171],"practices,":[173],"designing":[176],"human-AI":[178],"collaboration":[179],"necessitates":[183],"considering":[184],"tradeoffs":[185],"scale,":[187],"abstraction,":[188],"task":[190],"delegation.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}
