{"id":"https://openalex.org/W2080752813","doi":"https://doi.org/10.1109/vast.2011.6102435","title":"Visual analytic roadblocks for novice investigators","display_name":"Visual analytic roadblocks for novice investigators","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2080752813","doi":"https://doi.org/10.1109/vast.2011.6102435","mag":"2080752813"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2011.6102435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2011.6102435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-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/A5064480048","display_name":"Bum Chul Kwon","orcid":"https://orcid.org/0000-0002-9391-6274"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bum chul Kwon","raw_affiliation_strings":["Purdue University, USA","Purdue University , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University , USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072243347","display_name":"Brian Fisher","orcid":"https://orcid.org/0000-0001-5665-5709"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brian Fisher","raw_affiliation_strings":["Simon Fraser University, Canada","Simon Fraser University CANADA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Simon Fraser University CANADA","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053349373","display_name":"Ji Soo Yi","orcid":"https://orcid.org/0000-0002-7545-3878"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Soo Yi","raw_affiliation_strings":["Purdue University, USA","Purdue University , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University , USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0935,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.8941356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7716284990310669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745097637176514},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6701771020889282},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5501476526260376},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5434910655021667},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5046201944351196},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49772122502326965},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4694128930568695},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41011151671409607},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22067585587501526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1810179054737091}],"concepts":[{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7716284990310669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745097637176514},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6701771020889282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5501476526260376},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5434910655021667},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5046201944351196},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49772122502326965},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4694128930568695},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41011151671409607},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22067585587501526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1810179054737091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.1109/vast.2011.6102435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2011.6102435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W77612647","https://openalex.org/W1530426295","https://openalex.org/W1598754088","https://openalex.org/W1975411458","https://openalex.org/W2023470208","https://openalex.org/W2044135788","https://openalex.org/W2064189581","https://openalex.org/W2092696541","https://openalex.org/W2102988123","https://openalex.org/W2105208377","https://openalex.org/W2105552354","https://openalex.org/W2113386367","https://openalex.org/W2129815685","https://openalex.org/W2138199375","https://openalex.org/W2139262486","https://openalex.org/W2141569821","https://openalex.org/W2148269024","https://openalex.org/W2149028520","https://openalex.org/W2150085383","https://openalex.org/W2152922709","https://openalex.org/W2156440763","https://openalex.org/W2157900633","https://openalex.org/W2161133721","https://openalex.org/W2165662062","https://openalex.org/W2166530471","https://openalex.org/W2999665664","https://openalex.org/W3145503734","https://openalex.org/W3152175711","https://openalex.org/W6603270380","https://openalex.org/W6631668629","https://openalex.org/W6635893598","https://openalex.org/W6680388587"],"related_works":["https://openalex.org/W2362367986","https://openalex.org/W348707231","https://openalex.org/W2064719069","https://openalex.org/W3041760129","https://openalex.org/W2062940763","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638"],"abstract_inverted_index":{"We":[0,128],"have":[1],"observed":[2],"increasing":[3],"interest":[4,18],"in":[5,12,52,78],"visual":[6,115],"analytics":[7],"tools":[8,32],"and":[9,19,67,99,118,126],"their":[10],"applications":[11],"investigative":[13,54,79],"analysis.":[14,80],"Despite":[15],"the":[16,23,26,63,72,101,104],"growing":[17],"substantial":[20],"studies":[21],"regarding":[22],"topic,":[24],"understanding":[25],"major":[27],"roadblocks":[28,117,121],"of":[29,75,96],"using":[30,91,122],"such":[31,45],"from":[33],"novice":[34,50,89],"users'":[35],"perspectives":[36],"is":[37],"still":[38],"limited.":[39],"Therefore,":[40],"we":[41,61,82,110],"attempted":[42],"to":[43,133],"identify":[44],"\u201cvisual":[46],"analytic":[47,116],"roadblocks\u201d":[48],"for":[49],"users":[51],"an":[53],"analysis":[55],"scenario.":[56],"To":[57],"achieve":[58],"this":[59],"goal,":[60],"reviewed":[62],"existing":[64,123],"models,":[65],"theories,":[66],"frameworks":[68],"that":[69],"could":[70],"explain":[71],"cognitive":[73,124],"processes":[74],"human-visualization":[76],"interaction":[77],"Then,":[81],"conducted":[83],"a":[84,92,108],"qualitative":[85],"experiment":[86],"with":[87,113],"six":[88],"participants,":[90],"slightly":[93],"modified":[94],"version":[95],"pair":[97],"analytics,":[98],"analyzed":[100],"results":[102],"through":[103],"open-coding":[105],"method.":[106],"As":[107],"result,":[109],"came":[111],"up":[112],"four":[114],"explained":[119],"these":[120,135],"models":[125],"theories.":[127],"also":[129],"provided":[130],"design":[131],"suggestions":[132],"overcome":[134],"roadblocks.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}