{"id":"https://openalex.org/W3148955003","doi":"https://doi.org/10.1109/tvcg.2022.3141040","title":"FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches","display_name":"FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches","publication_year":2022,"publication_date":"2022-01-06","ids":{"openalex":"https://openalex.org/W3148955003","doi":"https://doi.org/10.1109/tvcg.2022.3141040","mag":"3148955003","pmid":"https://pubmed.ncbi.nlm.nih.gov/34990365"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2022.3141040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3141040","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.14539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070488104","display_name":"Angelos Chatzimparmpas","orcid":"https://orcid.org/0000-0002-9079-2376"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Angelos Chatzimparmpas","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055188702","display_name":"Rafael M. Martins","orcid":"https://orcid.org/0000-0002-2901-935X"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rafael M. Martins","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026383442","display_name":"Kostiantyn Kucher","orcid":"https://orcid.org/0000-0002-1907-7820"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kostiantyn Kucher","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006966951","display_name":"Andreas Kerren","orcid":"https://orcid.org/0000-0002-0519-2537"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Kerren","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070488104"],"corresponding_institution_ids":["https://openalex.org/I223464139"],"apc_list":null,"apc_paid":null,"fwci":2.649,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91099908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"4","first_page":"1773","last_page":"1791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9993000030517578,"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":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9707000255584717,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.96670001745224,"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":0.8196558952331543},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7338582277297974},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6749516725540161},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6252629160881042},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.623040497303009},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5421680808067322},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5415783524513245},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5296822786331177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5142285823822021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5035292506217957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4505395293235779},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.42150625586509705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4197908043861389},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13446873426437378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196558952331543},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7338582277297974},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6749516725540161},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6252629160881042},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.623040497303009},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5421680808067322},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5415783524513245},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5296822786331177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5142285823822021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5035292506217957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4505395293235779},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.42150625586509705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4197908043861389},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13446873426437378},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2022.3141040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3141040","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:34990365","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34990365","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2103.14539","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.14539","pdf_url":"https://arxiv.org/pdf/2103.14539","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.14539","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.14539","pdf_url":"https://arxiv.org/pdf/2103.14539","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":146,"referenced_works":["https://openalex.org/W177671575","https://openalex.org/W201900827","https://openalex.org/W268164029","https://openalex.org/W1487235154","https://openalex.org/W1532264762","https://openalex.org/W1535736950","https://openalex.org/W1557645530","https://openalex.org/W1560107318","https://openalex.org/W1582684391","https://openalex.org/W1600949175","https://openalex.org/W1830398314","https://openalex.org/W1933214722","https://openalex.org/W1962363309","https://openalex.org/W1964163958","https://openalex.org/W1966087765","https://openalex.org/W1967320885","https://openalex.org/W1974584593","https://openalex.org/W1977050089","https://openalex.org/W1979686514","https://openalex.org/W1986760411","https://openalex.org/W1989505216","https://openalex.org/W2008056655","https://openalex.org/W2011735049","https://openalex.org/W2017337590","https://openalex.org/W2021689070","https://openalex.org/W2036887984","https://openalex.org/W2040884411","https://openalex.org/W2044102377","https://openalex.org/W2051863373","https://openalex.org/W2060669545","https://openalex.org/W2072197604","https://openalex.org/W2074166357","https://openalex.org/W2079397285","https://openalex.org/W2087327261","https://openalex.org/W2094485533","https://openalex.org/W2095642553","https://openalex.org/W2098072631","https://openalex.org/W2098996270","https://openalex.org/W2101234009","https://openalex.org/W2103291381","https://openalex.org/W2103333826","https://openalex.org/W2103459159","https://openalex.org/W2104403658","https://openalex.org/W2108816886","https://openalex.org/W2110080554","https://openalex.org/W2114005694","https://openalex.org/W2115556748","https://openalex.org/W2116596042","https://openalex.org/W2123753389","https://openalex.org/W2124532504","https://openalex.org/W2132631291","https://openalex.org/W2135415614","https://openalex.org/W2139748031","https://openalex.org/W2143426320","https://openalex.org/W2150926065","https://openalex.org/W2153312812","https://openalex.org/W2158131091","https://openalex.org/W2161336914","https://openalex.org/W2161537925","https://openalex.org/W2166775858","https://openalex.org/W2167101736","https://openalex.org/W2169178923","https://openalex.org/W2182468807","https://openalex.org/W2186022498","https://openalex.org/W2287652005","https://openalex.org/W2295598076","https://openalex.org/W2435251607","https://openalex.org/W2484828460","https://openalex.org/W2624302955","https://openalex.org/W2728444372","https://openalex.org/W2751722336","https://openalex.org/W2759903677","https://openalex.org/W2769972173","https://openalex.org/W2783239537","https://openalex.org/W2790146374","https://openalex.org/W2805502900","https://openalex.org/W2889730816","https://openalex.org/W2904906464","https://openalex.org/W2905064480","https://openalex.org/W2911964244","https://openalex.org/W2918713104","https://openalex.org/W2951152347","https://openalex.org/W2951580700","https://openalex.org/W2951761234","https://openalex.org/W2962862931","https://openalex.org/W2963246058","https://openalex.org/W2963749793","https://openalex.org/W2965907370","https://openalex.org/W2970412667","https://openalex.org/W2971236179","https://openalex.org/W2973221207","https://openalex.org/W2975605169","https://openalex.org/W2995894242","https://openalex.org/W2998216295","https://openalex.org/W3005806855","https://openalex.org/W3011179515","https://openalex.org/W3019489177","https://openalex.org/W3020886002","https://openalex.org/W3023163568","https://openalex.org/W3023289764","https://openalex.org/W3028901943","https://openalex.org/W3032086959","https://openalex.org/W3034069517","https://openalex.org/W3038122803","https://openalex.org/W3038622004","https://openalex.org/W3089460656","https://openalex.org/W3098095827","https://openalex.org/W3102476541","https://openalex.org/W3103496950","https://openalex.org/W3104073206","https://openalex.org/W3110515458","https://openalex.org/W3120740533","https://openalex.org/W3121065372","https://openalex.org/W3122778363","https://openalex.org/W3172701880","https://openalex.org/W3174542393","https://openalex.org/W3216660278","https://openalex.org/W4211072535","https://openalex.org/W4212817109","https://openalex.org/W4230474071","https://openalex.org/W4234686673","https://openalex.org/W4247630466","https://openalex.org/W4256561644","https://openalex.org/W4285719527","https://openalex.org/W4301003819","https://openalex.org/W4384134838","https://openalex.org/W4403429985","https://openalex.org/W6631721778","https://openalex.org/W6631881933","https://openalex.org/W6633497745","https://openalex.org/W6644352162","https://openalex.org/W6674522558","https://openalex.org/W6675354045","https://openalex.org/W6675969814","https://openalex.org/W6677063681","https://openalex.org/W6680450898","https://openalex.org/W6684744259","https://openalex.org/W6684773713","https://openalex.org/W6696400885","https://openalex.org/W6717827561","https://openalex.org/W6737947904","https://openalex.org/W6745083947","https://openalex.org/W6757277204","https://openalex.org/W6760128851","https://openalex.org/W6780645974","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2145188897","https://openalex.org/W4360615883","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2080934634","https://openalex.org/W4246764483","https://openalex.org/W2126824079","https://openalex.org/W2143428259","https://openalex.org/W2112083262","https://openalex.org/W4378086562"],"abstract_inverted_index":{"The":[0,198,213],"machine":[1],"learning":[2],"(ML)":[3],"life":[4,95],"cycle":[5,96],"involves":[6],"a":[7,115,226,240],"series":[8],"of":[9,18,29,92,165,191,196,204,217,247],"iterative":[10],"steps,":[11],"from":[12,36,233],"the":[13,19,25,57,68,71,75,89,93,124,135,141,163,189,202,245],"effective":[14],"gathering":[15],"and":[16,27,66,87,102,147,170,215,225,239],"preparation":[17],"data-including":[20],"complex":[21],"feature":[22,104,125,152,177,193],"engineering":[23,41,105,126],"processes-to":[24],"presentation":[26],"improvement":[28],"results,":[30,59],"with":[31,123,150,185,221,235],"various":[32],"algorithms":[33],"to":[34,51,85,100,121,133,139,148,161],"choose":[35,134],"in":[37,42],"every":[38],"step.":[39],"Feature":[40],"particular":[43],"can":[44],"be":[45],"very":[46],"beneficial":[47],"for":[48],"ML,":[49],"leading":[50],"numerous":[52],"improvements":[53],"such":[54],"as":[55],"boosting":[56],"predictive":[58],"decreasing":[60],"computational":[61],"times,":[62],"reducing":[63],"excessive":[64],"noise,":[65],"increasing":[67],"transparency":[69],"behind":[70],"decisions":[72],"taken":[73],"during":[74],"training.":[76],"Despite":[77],"that,":[78],"while":[79],"several":[80],"visual":[81,116],"analytics":[82,117],"tools":[83],"exist":[84],"monitor":[86],"control":[88],"different":[90,151],"stages":[91],"ML":[94,237],"(especially":[97],"those":[98],"related":[99],"data":[101,156],"algorithms),":[103],"support":[106],"remains":[107],"inadequate.":[108],"In":[109],"this":[110],"paper,":[111],"we":[112],"present":[113],"FeatureEnVi,":[114],"system":[118,130],"specifically":[119],"designed":[120],"assist":[122],"process.":[127],"Our":[128],"proposed":[129],"helps":[131],"users":[132,160,184],"most":[136],"important":[137],"feature,":[138],"transform":[140],"original":[142],"features":[143,166],"into":[144],"powerful":[145],"alternatives,":[146],"experiment":[149],"generation":[153],"combinations.":[154],"Additionally,":[155],"space":[157],"slicing":[158],"allows":[159],"explore":[162],"impact":[164],"on":[167],"both":[168],"local":[169],"global":[171],"scales.":[172],"FeatureEnVi":[173,218],"utilizes":[174],"multiple":[175,210],"automatic":[176],"selection":[178],"techniques;":[179],"furthermore,":[180],"it":[181],"visually":[182],"guides":[183],"statistical":[186],"evidence":[187],"about":[188],"influence":[190],"each":[192],"(or":[194],"subsets":[195],"features).":[197],"final":[199],"outcome":[200],"is":[201],"extraction":[203],"heavily":[205],"engineered":[206],"features,":[207],"evaluated":[208],"by":[209],"validation":[211],"metrics.":[212],"usefulness":[214],"applicability":[216],"are":[219],"demonstrated":[220],"two":[222,236],"use":[223],"cases":[224],"case":[227],"study.":[228],"We":[229],"also":[230],"report":[231],"feedback":[232],"interviews":[234],"experts":[238],"visualization":[241],"researcher":[242],"who":[243],"assessed":[244],"effectiveness":[246],"our":[248],"system.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}