{"id":"https://openalex.org/W3118596038","doi":"https://doi.org/10.1109/tvcg.2021.3050497","title":"The Effect of Alignment on People's Ability to Judge Event Sequence Similarity","display_name":"The Effect of Alignment on People's Ability to Judge Event Sequence Similarity","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3118596038","doi":"https://doi.org/10.1109/tvcg.2021.3050497","mag":"3118596038","pmid":"https://pubmed.ncbi.nlm.nih.gov/33434130"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3050497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3050497","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025082043","display_name":"Roy A. Ruddle","orcid":"https://orcid.org/0000-0001-8662-8103"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roy A. Ruddle","raw_affiliation_strings":["University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8662-8103","affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078086722","display_name":"J\u00fcrgen Bernard","orcid":"https://orcid.org/0000-0001-8741-9709"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CA","CH"],"is_corresponding":false,"raw_author_name":"Jurgen Bernard","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada","University of Zurich, Zrich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-8741-9709","affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of Zurich, Zrich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018698322","display_name":"Hendrik L\u00fccke\u2010Tieke","orcid":"https://orcid.org/0000-0002-0934-6820"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik Lucke-Tieke","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0934-6820","affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025616122","display_name":"Thorsten May","orcid":"https://orcid.org/0000-0001-8027-2687"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten May","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8027-2687","affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086395951","display_name":"J\u00f6rn Kohlhammer","orcid":"https://orcid.org/0000-0003-1706-8979"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Kohlhammer","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany","TU Darmstadt, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1706-8979","affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5699,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63272274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"3070","last_page":"3081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9847000241279602,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.793949544429779},{"id":"https://openalex.org/keywords/levenshtein-distance","display_name":"Levenshtein distance","score":0.7468206882476807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410886645317078},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6260911226272583},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6122032403945923},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5889325141906738},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.5777196288108826},{"id":"https://openalex.org/keywords/structural-alignment","display_name":"Structural alignment","score":0.5258272886276245},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5179092288017273},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.5176178216934204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48617738485336304},{"id":"https://openalex.org/keywords/smith\u2013waterman-algorithm","display_name":"Smith\u2013Waterman algorithm","score":0.45925185084342957},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43812844157218933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.406799852848053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34001636505126953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08377295732498169},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07960230112075806}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.793949544429779},{"id":"https://openalex.org/C2777515626","wikidata":"https://www.wikidata.org/wiki/Q496939","display_name":"Levenshtein distance","level":2,"score":0.7468206882476807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410886645317078},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6260911226272583},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6122032403945923},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5889325141906738},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.5777196288108826},{"id":"https://openalex.org/C4668613","wikidata":"https://www.wikidata.org/wiki/Q4116110","display_name":"Structural alignment","level":5,"score":0.5258272886276245},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5179092288017273},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.5176178216934204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48617738485336304},{"id":"https://openalex.org/C72802188","wikidata":"https://www.wikidata.org/wiki/Q1683352","display_name":"Smith\u2013Waterman algorithm","level":5,"score":0.45925185084342957},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43812844157218933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.406799852848053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34001636505126953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08377295732498169},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07960230112075806},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1109/tvcg.2021.3050497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3050497","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:33434130","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33434130","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:eprints.whiterose.ac.uk:172191","is_oa":false,"landing_page_url":"https://orcid.org/0000-0001-8662-8103>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:www.zora.uzh.ch:254789","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ruddle, Roy A; Bernard, J\u00fcrgen; Lucke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jorn  (2022). The Effect of Alignment on People's Ability to Judge Event Sequence Similarity.  IEEE Transactions on Visualization and Computer Graphics, 28(9):3070-3081.","raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"pmh:oai:fraunhofer.de:N-621496","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-621496.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/265792","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/265792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"doi:10.5167/uzh-254789","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-254789","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:www.zora.uzh.ch:254789","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ruddle, Roy A; Bernard, J\u00fcrgen; Lucke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jorn  (2022). The Effect of Alignment on People's Ability to Judge Event Sequence Similarity.  IEEE Transactions on Visualization and Computer Graphics, 28(9):3070-3081.","raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1422703222","display_name":null,"funder_award_id":"EP/N013980/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G865838641","display_name":"QuantiCode: Intelligent infrastructure for quantitative, coded longitudinal data","funder_award_id":"EP/N013980/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W884650706","https://openalex.org/W938539187","https://openalex.org/W1550808487","https://openalex.org/W1961845056","https://openalex.org/W1985342513","https://openalex.org/W1991330646","https://openalex.org/W2058199791","https://openalex.org/W2065001361","https://openalex.org/W2074231493","https://openalex.org/W2087064593","https://openalex.org/W2100741257","https://openalex.org/W2114566476","https://openalex.org/W2120633747","https://openalex.org/W2120772351","https://openalex.org/W2122475441","https://openalex.org/W2126060886","https://openalex.org/W2130526545","https://openalex.org/W2132881639","https://openalex.org/W2137015675","https://openalex.org/W2141292707","https://openalex.org/W2155123448","https://openalex.org/W2155744824","https://openalex.org/W2160378127","https://openalex.org/W2161069068","https://openalex.org/W2167797188","https://openalex.org/W2168974130","https://openalex.org/W2265063908","https://openalex.org/W2297826358","https://openalex.org/W2510476599","https://openalex.org/W2563316274","https://openalex.org/W2594904122","https://openalex.org/W2750514987","https://openalex.org/W2750661846","https://openalex.org/W2752648449","https://openalex.org/W2788927700","https://openalex.org/W2793249730","https://openalex.org/W2797278227","https://openalex.org/W2809433418","https://openalex.org/W2810861266","https://openalex.org/W2883183026","https://openalex.org/W2888355804","https://openalex.org/W2899014759","https://openalex.org/W2903837810","https://openalex.org/W2911345638","https://openalex.org/W2914556798","https://openalex.org/W2968697710","https://openalex.org/W2972615418","https://openalex.org/W2995458003","https://openalex.org/W3118596038","https://openalex.org/W6730511143","https://openalex.org/W6734335955","https://openalex.org/W6743187070","https://openalex.org/W6788184006"],"related_works":["https://openalex.org/W2029514038","https://openalex.org/W2051969447","https://openalex.org/W2103737249","https://openalex.org/W2468116983","https://openalex.org/W1974956921","https://openalex.org/W2948014085","https://openalex.org/W2111937814","https://openalex.org/W1864728009","https://openalex.org/W2004215917","https://openalex.org/W2187357871"],"abstract_inverted_index":{"Event":[0],"sequences":[1,45,149],"are":[2,35],"central":[3],"to":[4,17,39],"the":[5,41,86,109,117,127,141,146,152,156],"analysis":[6,19],"of":[7,43,88,91,143,148,161],"data":[8],"in":[9],"domains":[10],"that":[11,55,183],"range":[12],"from":[13],"biology":[14],"and":[15,20,59,82,103,155,164,172],"health,":[16],"logfile":[18],"people's":[21,64,173],"everyday":[22],"behavior.":[23],"Many":[24],"visualization":[25],"tools":[26],"have":[27],"been":[28],"created":[29],"for":[30],"such":[31],"data,":[32],"but":[33],"people":[34],"error-prone":[36],"when":[37,66],"asked":[38],"judge":[40],"similarity":[42,87,147],"event":[44,144],"with":[46,126],"basic":[47,128],"presentation":[48],"methods.":[49],"This":[50],"article":[51],"describes":[52],"an":[53],"experiment":[54],"investigates":[56],"whether":[57],"local":[58,78,118],"global":[60,80,110,168],"alignment":[61,111,119,169,181],"techniques":[62],"improve":[63],"performance":[65,174],"judging":[67],"sequence":[68,186],"similarity.":[69],"Participants":[70],"were":[71,137],"divided":[72],"into":[73],"three":[74],"groups":[75],"(basic":[76],"versus":[77,79,122],"alignment),":[81],"each":[83],"participant":[84],"judged":[85],"180":[89],"sets":[90],"pseudo-randomly":[92],"generated":[93],"sequences.":[94],"Each":[95],"set":[96],"comprised":[97],"a":[98,100,104],"target,":[99],"correct":[101],"choice":[102],"wrong":[105],"choice.":[106],"After":[107],"training,":[108],"group":[112,120,129],"was":[113],"more":[114],"accurate":[115],"than":[116],"(98":[121],"93":[123],"percent":[124,132],"correct),":[125],"getting":[130],"95":[131],"correct.":[133],"Participants'":[134],"response":[135],"times":[136],"primarily":[138],"affected":[139],"by":[140,151,179],"number":[142],"types,":[145],"(measured":[150],"Levenshtein":[153],"distance)":[154],"edit":[157],"types":[158],"(nine":[159],"combinations":[160],"deletion,":[162],"insertion":[163],"substitution).":[165],"In":[166],"summary,":[167],"is":[170],"superior":[171],"could":[175],"be":[176],"further":[177],"improved":[178],"choosing":[180],"parameters":[182],"explicitly":[184],"penalize":[185],"mismatches.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
