{"id":"https://openalex.org/W7146946694","doi":"https://doi.org/10.1145/3769872.3769896","title":"Interaction Techniques for Stacked-Dimension Visualizations","display_name":"Interaction Techniques for Stacked-Dimension Visualizations","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W7146946694","doi":"https://doi.org/10.1145/3769872.3769896"},"language":null,"primary_location":{"id":"doi:10.1145/3769872.3769896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769872.3769896","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Graphics Interface Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3769872.3769896","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132709143","display_name":"Morgan Beattie","orcid":null},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Morgan Beattie","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081930058","display_name":"Carl Gutwin","orcid":"https://orcid.org/0000-0003-4470-9495"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Carl Gutwin","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001649622","display_name":"Charles P\u00e9rin","orcid":"https://orcid.org/0000-0002-7324-9363"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Charles Perin","raw_affiliation_strings":["Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5132709143"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75239151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9279999732971191,"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":0.9279999732971191,"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/T11719","display_name":"Data Quality and Management","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.005400000140070915,"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/table","display_name":"Table (database)","score":0.6166999936103821},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5727999806404114},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5371999740600586},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.527999997138977},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4909000098705292},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41370001435279846},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.367900013923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972000002861023},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6166999936103821},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5727999806404114},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.527999997138977},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4235000014305115},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.367900013923645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3769872.3769896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769872.3769896","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Graphics Interface Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3769872.3769896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769872.3769896","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Graphics Interface Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W113374983","https://openalex.org/W332631469","https://openalex.org/W655089096","https://openalex.org/W884650706","https://openalex.org/W1536734378","https://openalex.org/W1871492593","https://openalex.org/W1975040319","https://openalex.org/W1989297334","https://openalex.org/W1992593621","https://openalex.org/W1992765891","https://openalex.org/W2003083160","https://openalex.org/W2018412426","https://openalex.org/W2018614013","https://openalex.org/W2020323341","https://openalex.org/W2024152164","https://openalex.org/W2030246490","https://openalex.org/W2046252734","https://openalex.org/W2050427657","https://openalex.org/W2051549058","https://openalex.org/W2052425739","https://openalex.org/W2065488074","https://openalex.org/W2081660451","https://openalex.org/W2111347866","https://openalex.org/W2121155062","https://openalex.org/W2123237319","https://openalex.org/W2138199375","https://openalex.org/W2139640491","https://openalex.org/W2140175835","https://openalex.org/W2150076299","https://openalex.org/W2153217804","https://openalex.org/W2158702010","https://openalex.org/W2159941442","https://openalex.org/W2161133721","https://openalex.org/W2161555761","https://openalex.org/W2336957559","https://openalex.org/W2493116386","https://openalex.org/W2750934719","https://openalex.org/W2752991534","https://openalex.org/W2795434834","https://openalex.org/W2896663798","https://openalex.org/W2966541941","https://openalex.org/W2990950356","https://openalex.org/W2996669158","https://openalex.org/W3007590815","https://openalex.org/W3105602061","https://openalex.org/W3114060458","https://openalex.org/W3162917764","https://openalex.org/W3184560090","https://openalex.org/W3191661929","https://openalex.org/W3193710669","https://openalex.org/W4205810926","https://openalex.org/W4223657566","https://openalex.org/W4237375617","https://openalex.org/W4239762397","https://openalex.org/W4242628327","https://openalex.org/W4247110399","https://openalex.org/W4255692800","https://openalex.org/W4285612676","https://openalex.org/W4297094635","https://openalex.org/W4317659182","https://openalex.org/W4317826954","https://openalex.org/W4366224338"],"related_works":[],"abstract_inverted_index":{"Stacked-dimension":[0],"tables":[1],"(SDTs)":[2],"represent":[3],"multidimensional":[4,75],"data":[5,27,119],"with":[6,57,61,166],"nested":[7],"tables,":[8],"where":[9],"each":[10],"table":[11],"shows":[12],"two":[13],"of":[14,23,25,30,84,135],"the":[15,26,38,93,108,113,116,133,141,173],"dataset\u2019s":[16],"dimensions.":[17],"SDTs":[18],"provide":[19,118,190],"a":[20,62,68,97,128,146,151,156,162],"comprehensive":[21],"overview":[22],"all":[24,29],"and":[28,43,77,101,124,143,159,178,184,187],"its":[31],"dimensions":[32],"\u2013":[33],"but":[34],"overviews":[35],"are":[36,175],"just":[37],"starting":[39],"point":[40],"for":[41,81,150,192],"exploration,":[42],"there":[44],"is":[45],"little":[46],"information":[47],"available":[48],"to":[49,53,66,78,111],"designers":[50],"about":[51],"how":[52],"support":[54,107,191],"further":[55],"interactions":[56],"SDTs.":[58],"We":[59],"worked":[60],"crop-breeding":[63],"research":[64],"group":[65],"develop":[67],"stacked-dimension":[69,196],"system":[70,100,149],"that":[71,106,172,188],"suited":[72],"their":[73,82],"complex":[74],"datasets,":[76],"identify":[79],"requirements":[80,142],"analyses":[83],"differential":[85],"gene":[86],"expression":[87],"across":[88],"multiple":[89],"genomes.":[90],"Based":[91],"on":[92],"requirements,":[94],"we":[95,138],"developed":[96],"new":[98,103,152],"SDT":[99,148],"several":[102],"interaction":[104],"techniques":[105,144,174],"researchers\u2019":[109],"needs":[110],"filter":[112],"data,":[114],"reconfigure":[115],"visualization,":[117],"context,":[120],"revisit":[121],"previous":[122],"configurations,":[123],"integrate":[125],"findings":[126],"into":[127],"broader":[129],"workflow.":[130],"To":[131],"test":[132],"generalizability":[134],"our":[136],"designs,":[137],"then":[139],"extended":[140],"in":[145,195],"second":[147],"domain":[153,182],"(outcomes":[154],"from":[155],"retirement-planning":[157],"model)":[158],"carried":[160],"out":[161],"small":[163],"usability":[164],"study":[165],"this":[167],"system.":[168],"Our":[169],"evaluations":[170],"show":[171],"easily":[176],"learned":[177],"understood":[179],"by":[180],"both":[181],"experts":[183],"everyday":[185],"users,":[186],"they":[189],"real-world":[193],"exploration":[194],"visualizations.":[197]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
