{"id":"https://openalex.org/W2160735712","doi":"https://doi.org/10.1145/1240624.1240826","title":"ExperiScope","display_name":"ExperiScope","publication_year":2007,"publication_date":"2007-04-29","ids":{"openalex":"https://openalex.org/W2160735712","doi":"https://doi.org/10.1145/1240624.1240826","mag":"2160735712"},"language":"en","primary_location":{"id":"doi:10.1145/1240624.1240826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1240624.1240826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/A5037702709","display_name":"Fran\u00e7ois Guimbreti\u00e8re","orcid":"https://orcid.org/0000-0002-5510-6799"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fran\u00e7ois Guimbreti\u00e9re","raw_affiliation_strings":["University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086908367","display_name":"Morgan Dixon","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morgan Dixon","raw_affiliation_strings":["University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357098","display_name":"Ken Hinckley","orcid":"https://orcid.org/0000-0002-4733-4927"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ken Hinckley","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037702709"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":2.2719,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8942396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1333","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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":0.9994999766349792,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.8370749354362488},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.605159342288971},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5368798971176147},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4930121600627899},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4563605785369873},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4496220052242279},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.44885963201522827},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3778831958770752},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3300541639328003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370749354362488},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.605159342288971},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5368798971176147},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4930121600627899},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4563605785369873},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4496220052242279},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.44885963201522827},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3778831958770752},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3300541639328003},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1240624.1240826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1240624.1240826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1226869406","https://openalex.org/W1531523252","https://openalex.org/W1544689774","https://openalex.org/W1577936768","https://openalex.org/W1928294160","https://openalex.org/W1991691398","https://openalex.org/W1994610034","https://openalex.org/W2015591251","https://openalex.org/W2021898394","https://openalex.org/W2036024905","https://openalex.org/W2038369705","https://openalex.org/W2047375123","https://openalex.org/W2053295841","https://openalex.org/W2064288400","https://openalex.org/W2072935511","https://openalex.org/W2103377744","https://openalex.org/W2105802004","https://openalex.org/W2121731156","https://openalex.org/W2126434504","https://openalex.org/W2131071012","https://openalex.org/W2132235889","https://openalex.org/W2133353349","https://openalex.org/W2136987764","https://openalex.org/W2140071154","https://openalex.org/W2149962092","https://openalex.org/W2150874632","https://openalex.org/W2153933075","https://openalex.org/W2161278853","https://openalex.org/W2165535051","https://openalex.org/W2179427518","https://openalex.org/W2294226227","https://openalex.org/W2296178917","https://openalex.org/W2322400284"],"related_works":["https://openalex.org/W2965821047","https://openalex.org/W4288274610","https://openalex.org/W3082518992","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510"],"abstract_inverted_index":{"We":[0],"present":[1],"ExperiScope,":[2],"an":[3,35,87],"analytical":[4],"tool":[5,47,80,106,143],"to":[6,39,51],"help":[7],"designers":[8],"and":[9,30,53,118,150],"experimenters":[10],"explore":[11],"the":[12,28,31,69,76,83,108,119,133],"results":[13,70,102,111],"of":[14,17,27,44,57,68,71,78,121,132,148],"quantitative":[15],"evaluations":[16],"interaction":[18,153],"techniques.":[19,100,154],"ExperiScope":[20],"combines":[21],"a":[22,65,72,128],"new":[23],"visualization":[24],"incorporating":[25],"aspects":[26],"KLM":[29],"three-state":[32],"model":[33],"with":[34],"interface":[36],"helping":[37],"users":[38],"rapidly":[40],"cluster":[41],"similar":[42],"patterns":[43,56],"interactions.":[45],"The":[46],"makes":[48],"it":[49],"easy":[50],"identify":[52],"compare":[54],"key":[55],"use":[58],"encountered":[59],"during":[60,136],"data":[61,84,134],"collection.":[62],"This":[63],"promotes":[64],"deeper":[66],"understanding":[67,147],"given":[73],"evaluation.We":[74],"illustrate":[75],"advantages":[77],"this":[79],"by":[81,90,112],"revisiting":[82],"collected":[85],"for":[86],"experiment":[88],"conducted":[89],"Hinckley":[91],"et":[92],"al.":[93],"[19]":[94],"which":[95],"compared":[96],"different":[97],"mode":[98,122],"switching":[99,123],"Our":[101],"show":[103],"that":[104,141],"our":[105,142],"complements":[107],"previously":[109],"reported":[110],"offering":[113],"insights":[114],"about":[115],"error":[116],"behavior":[117],"impact":[120],"on":[124],"user":[125],"performance.By":[126],"providing":[127],"more":[129],"fine-grained":[130],"analysis":[131],"gathered":[135],"empirical":[137],"evaluations,":[138],"we":[139],"hope":[140],"will":[144],"improve":[145],"researchers'":[146],"existing":[149],"newly":[151],"developed":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
