{"id":"https://openalex.org/W2095528897","doi":"https://doi.org/10.1109/pacificvis.2012.6183579","title":"Effects of illumination, texture, and motion on task performance in 3D tensor-field streamtube visualizations","display_name":"Effects of illumination, texture, and motion on task performance in 3D tensor-field streamtube visualizations","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2095528897","doi":"https://doi.org/10.1109/pacificvis.2012.6183579","mag":"2095528897"},"language":"en","primary_location":{"id":"doi:10.1109/pacificvis.2012.6183579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2012.6183579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Pacific Visualization Symposium","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/A5027201226","display_name":"Devon Penney","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]},{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Devon Penney","raw_affiliation_strings":["Brown University, USA","Brown University, USA)"],"affiliations":[{"raw_affiliation_string":"Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, USA)","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326436","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0002-1599-0831"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["University of Southern Mississippi, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern Mississippi, USA","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030179454","display_name":"David H. Laidlaw","orcid":"https://orcid.org/0000-0002-3411-7376"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]},{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David H. Laidlaw","raw_affiliation_strings":["Brown University, USA","Brown University, USA)"],"affiliations":[{"raw_affiliation_string":"Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, USA)","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027201226"],"corresponding_institution_ids":["https://openalex.org/I175594653","https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":0.7277,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74029074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681282103061676},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6792431473731995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6310129165649414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.582166314125061},{"id":"https://openalex.org/keywords/tensor-field","display_name":"Tensor field","score":0.4871089458465576},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4474569857120514},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42908406257629395},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4171209931373596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13711601495742798},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09201261401176453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681282103061676},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6792431473731995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6310129165649414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.582166314125061},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.4871089458465576},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4474569857120514},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42908406257629395},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4171209931373596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13711601495742798},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09201261401176453},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacificvis.2012.6183579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2012.6183579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Pacific Visualization Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309070","display_name":"Brown University","ror":"https://ror.org/05gq02987"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2912526","https://openalex.org/W1576270090","https://openalex.org/W1624366396","https://openalex.org/W1970883940","https://openalex.org/W1972928511","https://openalex.org/W1979614204","https://openalex.org/W1986114288","https://openalex.org/W1988517894","https://openalex.org/W2017392634","https://openalex.org/W2023846932","https://openalex.org/W2039369076","https://openalex.org/W2068592711","https://openalex.org/W2089181240","https://openalex.org/W2097057472","https://openalex.org/W2097405194","https://openalex.org/W2114441810","https://openalex.org/W2116938231","https://openalex.org/W2120831453","https://openalex.org/W2127980861","https://openalex.org/W2128863754","https://openalex.org/W2132933030","https://openalex.org/W2135392761","https://openalex.org/W2136892133","https://openalex.org/W2138624212","https://openalex.org/W2915459242","https://openalex.org/W2955844533","https://openalex.org/W3147963387","https://openalex.org/W3149833144","https://openalex.org/W4232678470","https://openalex.org/W4244644321","https://openalex.org/W6642977676"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W2888673113","https://openalex.org/W2212288070","https://openalex.org/W2056065966","https://openalex.org/W2352602608","https://openalex.org/W3124914020","https://openalex.org/W2062641654","https://openalex.org/W3149975758","https://openalex.org/W2141033859","https://openalex.org/W1517786189"],"abstract_inverted_index":{"We":[0],"present":[1],"results":[2,105,174],"from":[3,32],"a":[4,28,33,71,87,94,98],"user":[5],"study":[6,26],"of":[7,76,93,154,180],"task":[8,113,136,156,166],"performance":[9],"on":[10],"streamtube":[11],"visualizations,":[12],"such":[13,183],"as":[14,184],"those":[15],"used":[16,27],"in":[17,126,177],"three-dimensional":[18],"(3D)":[19],"vector":[20],"and":[21,50,56,60,62,96,169,190,199],"tensor":[22,29,36],"field":[23,30,188],"visualizations.":[24],"This":[25],"sampled":[31],"full-brain":[34],"diffusion":[35],"magnetic":[37],"resonance":[38],"imaging":[39],"(DTI)":[40],"dataset.":[41],"The":[42,64],"independent":[43],"variables":[44],"include":[45],"illumination":[46,49,109,122],"model":[47],"(global":[48],"OpenGL-style":[51],"local":[52,130],"illumination),":[53],"texture":[54,161],"(with":[55,59],"without),":[57,61],"motion":[58,139],"task.":[63],"three":[65],"spatial":[66,145],"analysis":[67],"tasks":[68,118],"are:":[69],"(1)":[70],"depth-judgment":[72],"task:":[73,89,100],"determining":[74],"which":[75],"two":[77],"marked":[78],"tubes":[79],"is":[80,196],"closer":[81],"to":[82,144,164],"the":[83,91,117,124,134,152,178,194],"user's":[84],"viewpoint,":[85],"(2)":[86],"visual-tracing":[88,135],"marking":[90],"endpoint":[92],"tube,":[95],"(3)":[97],"contact-judgment":[99],"analyzing":[101],"tube-sphere":[102],"penetration.":[103],"Our":[104],"indicate":[106],"that":[107],"global":[108],"did":[110],"not":[111],"improve":[112],"completion":[114,157,167],"time":[115],"for":[116,133,147],"we":[119],"measured.":[120],"Global":[121],"reduced":[123],"errors":[125],"participants'":[127],"answers":[128],"over":[129],"OpenGLstyle":[131],"rendering":[132],"only":[137],"when":[138,193],"was":[140],"present.":[141],"Motion":[142],"contributed":[143],"understanding":[146],"all":[148],"tasks,":[149],"but":[150],"at":[151],"cost":[153],"longer":[155,165],"time.":[158],"A":[159],"high-frequency":[160],"pattern":[162],"led":[163],"times":[168],"higher":[170],"error":[171],"rates.":[172],"These":[173],"can":[175],"help":[176],"design":[179],"lighting":[181,195],"model,":[182],"flow":[185],"or":[186],"diffusion-tensor":[187],"visualizations":[189],"identify":[191],"situations":[192],"more":[197],"efficient":[198],"accurate.":[200]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
