{"id":"https://openalex.org/W3010468287","doi":"https://doi.org/10.1145/3377325.3377491","title":"Digging into user control","display_name":"Digging into user control","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W3010468287","doi":"https://doi.org/10.1145/3377325.3377491","mag":"3010468287"},"language":"en","primary_location":{"id":"doi:10.1145/3377325.3377491","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377325.3377491","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377325.3377491","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3377325.3377491","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101541372","display_name":"Alison Smith","orcid":"https://orcid.org/0000-0002-6600-267X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alison Smith-Renner","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831327","display_name":"Varun Ravi Kumar","orcid":"https://orcid.org/0000-0002-8596-7629"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Kumar","raw_affiliation_strings":["Amazon Alexa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081307846","display_name":"Jordan Boyd\u2010Graber","orcid":"https://orcid.org/0000-0002-7770-4431"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Boyd-Graber","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029074659","display_name":"Kevin Seppi","orcid":"https://orcid.org/0000-0002-4932-2700"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Seppi","raw_affiliation_strings":["Brigham Young University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham Young University","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031744461","display_name":"Leah Findlater","orcid":"https://orcid.org/0000-0002-5619-4452"},"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":"Leah Findlater","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9783999919891357,"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":0.7593993544578552},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5830707550048828},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.5698874592781067},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49700596928596497},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4866224229335785},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.46594110131263733},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.27907150983810425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18979030847549438},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14007321000099182},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11198359727859497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593993544578552},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5830707550048828},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5698874592781067},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49700596928596497},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4866224229335785},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.46594110131263733},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.27907150983810425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18979030847549438},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14007321000099182},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11198359727859497},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377325.3377491","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377325.3377491","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377325.3377491","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3377325.3377491","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377325.3377491","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377325.3377491","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4331084930","display_name":"III: Medium: Collaborative Research: Closing the User-Model Loop for Understanding Topics in Large Document Collections","funder_award_id":"1409739","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5264030819","display_name":"III: Medium: Collaborative Research: Closing the User-Model Loop for Understanding Topics in Large Document Collections","funder_award_id":"1409287","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7288867691","display_name":null,"funder_award_id":"IIS-1409739, IIS-1409287","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/W3010468287.pdf","grobid_xml":"https://content.openalex.org/works/W3010468287.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1564583583","https://openalex.org/W1965240572","https://openalex.org/W1985125789","https://openalex.org/W2001082470","https://openalex.org/W2016196732","https://openalex.org/W2090645352","https://openalex.org/W2120379285","https://openalex.org/W2138199375","https://openalex.org/W2154157725","https://openalex.org/W2157006255","https://openalex.org/W2157821464","https://openalex.org/W2158085718","https://openalex.org/W2232885504","https://openalex.org/W2250239827","https://openalex.org/W2250533720","https://openalex.org/W2252217186","https://openalex.org/W2296641297","https://openalex.org/W2319794630","https://openalex.org/W2327620174","https://openalex.org/W2405876106","https://openalex.org/W2585401086","https://openalex.org/W2595494611","https://openalex.org/W2739635662","https://openalex.org/W2790740913","https://openalex.org/W2794125445","https://openalex.org/W2941455863","https://openalex.org/W2945726386","https://openalex.org/W2962851944","https://openalex.org/W4233135949","https://openalex.org/W4255428302"],"related_works":["https://openalex.org/W4382930947","https://openalex.org/W2366886627","https://openalex.org/W181114622","https://openalex.org/W1968674371","https://openalex.org/W3097319984","https://openalex.org/W2012552426","https://openalex.org/W1833779271","https://openalex.org/W4249874437","https://openalex.org/W1840178152","https://openalex.org/W2971404056"],"abstract_inverted_index":{"We":[0],"explore":[1,100],"predictability":[2],"and":[3,24,33,44,77,133],"control":[4,104],"in":[5,127,168],"interactive":[6,96],"systems":[7],"where":[8,108],"controls":[9],"are":[10],"easy":[11],"to":[12,18,86],"validate.":[13],"Human-in-the-loop":[14],"techniques":[15],"allow":[16],"users":[17],"guide":[19],"unsupervised":[20],"algorithms":[21],"by":[22,56,65,142],"exposing":[23],"supporting":[25],"interaction":[26],"with":[27,113],"underlying":[28,46],"model":[29,75,134],"representations,":[30],"increasing":[31],"transparency":[32],"promising":[34],"fine-grained":[35],"control.":[36,93],"However,":[37],"these":[38],"models":[39,91],"must":[40],"balance":[41],"user":[42,59,79,101],"input":[43,60,124],"the":[45],"data,":[47],"meaning":[48],"they":[49,170],"sometimes":[50],"update":[51,131],"slowly,":[52],"poorly,":[53],"or":[54,64],"unpredictably---either":[55],"not":[57],"incorporating":[58],"as":[61],"expected":[62],"(adherence)":[63],"making":[66],"other":[67],"unexpected":[68],"changes":[69],"(instability).":[70],"While":[71],"prior":[72],"work":[73],"exposes":[74],"internals":[76],"supports":[78],"feedback,":[80],"less":[81],"attention":[82],"has":[83],"been":[84],"paid":[85],"users'":[87],"reactions":[88],"when":[89,153],"transparent":[90],"limit":[92],"Focusing":[94],"on":[95],"topic":[97,118],"models,":[98],"we":[99],"perceptions":[102],"of":[103,115,144],"using":[105],"a":[106],"study":[107],"100":[109],"participants":[110,150,165],"organize":[111],"documents":[112],"one":[114],"three":[116],"distinct":[117],"modeling":[119,163],"approaches.":[120],"These":[121],"approaches":[122],"incorporate":[123],"differently,":[125],"resulting":[126],"varied":[128],"adherence,":[129],"stability,":[130],"speeds,":[132],"quality.":[135],"Participants":[136],"disliked":[137],"slow":[138],"updates":[139],"most,":[140],"followed":[141],"lack":[143],"adherence.":[145,172],"Instability":[146],"was":[147],"polarizing:":[148],"some":[149],"liked":[151],"it":[152,154],"surfaced":[155],"interesting":[156],"information,":[157],"while":[158],"others":[159],"did":[160],"not.":[161],"Across":[162],"approaches,":[164],"differed":[166],"only":[167],"whether":[169],"noticed":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}