{"id":"https://openalex.org/W2423553421","doi":"https://doi.org/10.1145/2939502.2939505","title":"Bridging the gap between user intention and model parameters for human-in-the-loop data analytics","display_name":"Bridging the gap between user intention and model parameters for human-in-the-loop data analytics","publication_year":2016,"publication_date":"2016-06-17","ids":{"openalex":"https://openalex.org/W2423553421","doi":"https://doi.org/10.1145/2939502.2939505","mag":"2423553421"},"language":"en","primary_location":{"id":"doi:10.1145/2939502.2939505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939502.2939505","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939505&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2939505&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043058357","display_name":"Jessica Zeitz Self","orcid":"https://orcid.org/0000-0001-8106-4572"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jessica Zeitz Self","raw_affiliation_strings":["Discovery Analytics Center, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Discovery Analytics Center, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076958928","display_name":"Radha Krishnan Vinayagam","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Radha Krishnan Vinayagam","raw_affiliation_strings":["Discovery Analytics Center, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Discovery Analytics Center, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112172245","display_name":"J. T. Fry","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. T. Fry","raw_affiliation_strings":["Discovery Analytics Center, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Discovery Analytics Center, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["Discovery Analytics Center, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Discovery Analytics Center, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043058357"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":2.365,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92453141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"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":0.9980999827384949,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7711548805236816},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7703858613967896},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.7151820063591003},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.7092238664627075},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.6508312225341797},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6364277005195618},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5781144499778748},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5614883899688721},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.4372689127922058},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.41101205348968506},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.388293594121933},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3753381371498108},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3548431992530823},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11951348185539246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7711548805236816},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7703858613967896},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7151820063591003},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.7092238664627075},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.6508312225341797},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6364277005195618},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5781144499778748},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5614883899688721},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.4372689127922058},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.41101205348968506},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.388293594121933},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3753381371498108},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3548431992530823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11951348185539246},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2939502.2939505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939502.2939505","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939505&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2939502.2939505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939502.2939505","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939505&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4543091469","display_name":null,"funder_award_id":"IIS-1447416, IIS-1218346, DUE-1141096","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6560157988","display_name":null,"funder_award_id":"447416","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7090915511","display_name":"HCC: Small: Semantic Interaction for Visual Text Analytics","funder_award_id":"1218346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7116502686","display_name":"BIGDATA: F: DKA: Usable Multiple Scale Big Data Analytics through Interactive Visualization","funder_award_id":"1447416","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7710512266","display_name":null,"funder_award_id":"IIS-1447416, IIS-1218346, and DUE-1141096","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2423553421.pdf","grobid_xml":"https://content.openalex.org/works/W2423553421.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1836550785","https://openalex.org/W2037133710","https://openalex.org/W2055794105","https://openalex.org/W2107150807","https://openalex.org/W2132429517","https://openalex.org/W2574713010","https://openalex.org/W4246354968"],"related_works":["https://openalex.org/W2413934309","https://openalex.org/W4297919085","https://openalex.org/W4386996209","https://openalex.org/W4362499597","https://openalex.org/W3023950667","https://openalex.org/W4316659597","https://openalex.org/W2591047232","https://openalex.org/W3145004415","https://openalex.org/W2423553421","https://openalex.org/W4387885925"],"abstract_inverted_index":{"Exploratory":[0],"data":[1,15,32,75],"analysis":[2],"is":[3],"challenging":[4],"given":[5],"the":[6,14,17,31,43,47,54,81,88],"complexity":[7,18],"of":[8,70,90],"data.":[9,44],"Models":[10],"find":[11],"structure":[12],"in":[13,46],"lessening":[16],"for":[19,63,74],"users.":[20],"These":[21],"models":[22],"have":[23],"parameters":[24,55,89],"that":[25],"can":[26,51],"be":[27],"adjusted":[28],"to":[29,40,56],"explore":[30,57],"from":[33],"many":[34],"different":[35],"angles":[36],"providing":[37],"more":[38],"ways":[39],"learn":[41],"about":[42],"\"Human":[45],"loop\"":[48],"means":[49],"users":[50],"interact":[52],"with":[53],"alternative":[58],"structures.":[59],"This":[60,65],"exploration":[61],"allows":[62],"discovery.":[64],"paper":[66],"examines":[67],"usability":[68],"issues":[69],"Human-Model":[71],"Interaction":[72],"(HMI)":[73],"analytics.":[76],"In":[77],"particular,":[78],"we":[79],"bridge":[80],"gaps":[82],"between":[83],"a":[84,91],"user's":[85],"intention":[86],"and":[87],"WMDS":[92],"model":[93],"during":[94],"HMI":[95],"communication.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}