{"id":"https://openalex.org/W2587944981","doi":"https://doi.org/10.1109/etvis.2016.7851161","title":"Multi-similarity matrices of eye movement data","display_name":"Multi-similarity matrices of eye movement data","publication_year":2016,"publication_date":"2016-10-23","ids":{"openalex":"https://openalex.org/W2587944981","doi":"https://doi.org/10.1109/etvis.2016.7851161","mag":"2587944981"},"language":"en","primary_location":{"id":"doi:10.1109/etvis.2016.7851161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etvis.2016.7851161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS)","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/A5101963152","display_name":"Ayush Kumar","orcid":"https://orcid.org/0000-0002-5174-9906"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Ayush Kumar","raw_affiliation_strings":["SUNY Korea","Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUNY Korea","institution_ids":["https://openalex.org/I4210116376"]},{"raw_affiliation_string":"Stony Brook University","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073935117","display_name":"Rudolf Netzel","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rudolf Netzel","raw_affiliation_strings":["VISUS, University of Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISUS, University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016295654","display_name":"Michael Burch","orcid":"https://orcid.org/0000-0003-4756-5335"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Burch","raw_affiliation_strings":["VISUS, University of Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISUS, University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073619125","display_name":"Daniel Weiskopf","orcid":"https://orcid.org/0000-0003-1174-1026"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Weiskopf","raw_affiliation_strings":["VISUS, University of Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISUS, University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070670810","display_name":"Klaus Mueller","orcid":"https://orcid.org/0000-0002-0996-8590"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Klaus Mueller","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, US","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.507,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74972025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9959999918937683,"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":0.9959999918937683,"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/T11106","display_name":"Data Management and Algorithms","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972431182861328},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7014560699462891},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6255080103874207},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5715424418449402},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5312416553497314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4951864778995514},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.49342671036720276},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4912659525871277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48429766297340393},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4789867401123047},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4786749482154846},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.476493775844574},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.46352797746658325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3827403783798218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37722986936569214},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13312548398971558},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10719910264015198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972431182861328},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7014560699462891},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6255080103874207},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5715424418449402},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5312416553497314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4951864778995514},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.49342671036720276},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4912659525871277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48429766297340393},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4789867401123047},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4786749482154846},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.476493775844574},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.46352797746658325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3827403783798218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37722986936569214},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13312548398971558},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10719910264015198},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etvis.2016.7851161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etvis.2016.7851161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W249254429","https://openalex.org/W1503483822","https://openalex.org/W1538622809","https://openalex.org/W1952975639","https://openalex.org/W1986257701","https://openalex.org/W1987283888","https://openalex.org/W2075117036","https://openalex.org/W2079257256","https://openalex.org/W2102804490","https://openalex.org/W2106480295","https://openalex.org/W2114566476","https://openalex.org/W2125687218","https://openalex.org/W2136242300","https://openalex.org/W2141807666","https://openalex.org/W2519136717","https://openalex.org/W4250305371","https://openalex.org/W6609374501","https://openalex.org/W6726321540"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2370831213","https://openalex.org/W4315704968","https://openalex.org/W4285478380","https://openalex.org/W2100255360","https://openalex.org/W2032810564","https://openalex.org/W2107506952","https://openalex.org/W4281258283"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,20,31,65,78,87,117],"matrix-based":[3],"visualization":[4,85],"technique":[5],"for":[6],"algorithmically":[7],"and":[8,28,37,50,108,120,128,159],"visually":[9,56],"comparing":[10],"metrics":[11,34,97],"in":[12,131],"eye":[13,40,145],"movement":[14,41,146],"data.":[15],"To":[16,43,103,133],"reach":[17],"this":[18,83],"goal,":[19],"set":[21,32],"of":[22,33,39,52,64,74,93,95,137,152,162],"scanpath":[23],"trajectories":[24],"is":[25],"first":[26],"preprocessed":[27],"transformed":[29],"into":[30,61,77,99],"describing":[35],"commonalities":[36],"differences":[38],"trajectories.":[42],"keep":[44],"the":[45,58,62,75,91,106,126,135,138,149,163],"generated":[46,59],"diagrams":[47],"simple,":[48],"understandable,":[49],"free":[51],"visual":[53],"clutter":[54],"we":[55,81,140,156],"encode":[57],"dataset":[60,76,147],"cells":[63],"matrix.":[66],"Apart":[67],"from":[68],"just":[69],"incorporating":[70],"one":[71,100],"individual":[72],"metric":[73],"matrix":[79,101],"cell,":[80],"extend":[82],"standard":[84],"by":[86],"dimensional-stacking":[88],"approach":[89,115],"supporting":[90],"display":[92],"several":[94],"those":[96,112],"integrated":[98],"cell.":[102],"further":[104,121],"improve":[105],"readability":[107],"pattern":[109],"finding":[110],"among":[111],"values,":[113],"our":[114],"supports":[116],"metric-based":[118],"clustering":[119],"interaction":[122],"techniques":[123],"to":[124,129,143],"manipulate":[125],"data":[127],"navigate":[130],"it.":[132],"illustrate":[134],"usefulness":[136],"system,":[139],"applied":[141],"it":[142],"an":[144],"about":[148],"reading":[150],"behavior":[151],"metro":[153],"maps.":[154],"Finally,":[155],"discuss":[157],"limitations":[158],"scalability":[160],"issues":[161],"approach.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}