{"id":"https://openalex.org/W2972466762","doi":"https://doi.org/10.1145/3351995.3352054","title":"A comparative evaluation of techniques for time series visualizations of emotions","display_name":"A comparative evaluation of techniques for time series visualizations of emotions","publication_year":2019,"publication_date":"2019-09-12","ids":{"openalex":"https://openalex.org/W2972466762","doi":"https://doi.org/10.1145/3351995.3352054","mag":"2972466762"},"language":"en","primary_location":{"id":"doi:10.1145/3351995.3352054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351995.3352054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th Biannual Conference of the Italian SIGCHI Chapter: Designing the next interaction","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087173396","display_name":"Julia Sheidin","orcid":"https://orcid.org/0009-0002-9092-7231"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Julia Sheidin","raw_affiliation_strings":["University of Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059096880","display_name":"Joel Lanir","orcid":"https://orcid.org/0000-0002-9838-5142"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Joel Lanir","raw_affiliation_strings":["University of Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082219837","display_name":"Tsvi Kuflik","orcid":"https://orcid.org/0000-0003-0096-4240"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tsvi Kuflik","raw_affiliation_strings":["University of Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"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":0.9984999895095825,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.986299991607666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6821503639221191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701064705848694},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5077949166297913},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45547983050346375},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.42613711953163147},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3276105523109436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28729915618896484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2151431143283844},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06463828682899475}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6821503639221191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701064705848694},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5077949166297913},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45547983050346375},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.42613711953163147},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3276105523109436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28729915618896484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2151431143283844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06463828682899475},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3351995.3352054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351995.3352054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th Biannual Conference of the Italian SIGCHI Chapter: Designing the next interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W561768455","https://openalex.org/W578275184","https://openalex.org/W1487648447","https://openalex.org/W1494336933","https://openalex.org/W1536091370","https://openalex.org/W1576209423","https://openalex.org/W1588992499","https://openalex.org/W1894439685","https://openalex.org/W1907813777","https://openalex.org/W1966797434","https://openalex.org/W1996605684","https://openalex.org/W2009375902","https://openalex.org/W2011722134","https://openalex.org/W2027262408","https://openalex.org/W2064230935","https://openalex.org/W2064236037","https://openalex.org/W2064459199","https://openalex.org/W2093862925","https://openalex.org/W2099476811","https://openalex.org/W2102998034","https://openalex.org/W2104190448","https://openalex.org/W2108713782","https://openalex.org/W2114566476","https://openalex.org/W2115505341","https://openalex.org/W2147997165","https://openalex.org/W2165571577","https://openalex.org/W2252073650","https://openalex.org/W2326709869","https://openalex.org/W2328447414","https://openalex.org/W2523776954","https://openalex.org/W2561332212","https://openalex.org/W2592005987","https://openalex.org/W2594842050","https://openalex.org/W2596007830","https://openalex.org/W2625126745","https://openalex.org/W2626959846","https://openalex.org/W3118281376","https://openalex.org/W3151855710","https://openalex.org/W4241614188","https://openalex.org/W6616874854","https://openalex.org/W6641983419","https://openalex.org/W6653297523","https://openalex.org/W6735365733","https://openalex.org/W6739920034","https://openalex.org/W6816786443","https://openalex.org/W6948018739"],"related_works":["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","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"The":[0,108],"growing":[1],"availability":[2],"of":[3,22,53,68,123],"social":[4],"media":[5],"and":[6,73,93,119,130],"other":[7],"online":[8],"information":[9],"sources":[10],"has":[11],"increased":[12],"interest":[13],"in":[14,139],"sentiment":[15],"analysis":[16],"to":[17,26,33,48,148],"understand":[18,35],"the":[19,36,66,127,133,140,145],"emotional":[20],"responses":[21],"users.":[23],"Being":[24],"able":[25],"visualize":[27],"users'":[28],"emotions":[29,72],"could":[30],"help":[31],"stakeholders":[32],"better":[34],"underlying":[37],"trends":[38],"behind":[39],"events":[40],"or":[41],"stories.":[42],"Various":[43],"techniques":[44],"have":[45],"been":[46],"used":[47],"generate":[49],"time":[50],"series":[51],"visualizations":[52,69],"emotions;":[54],"however,":[55],"there":[56],"is":[57],"neither":[58],"a":[59,81,98,120],"prevalent":[60],"method":[61],"nor":[62],"any":[63],"guidelines":[64],"for":[65,126],"design":[67],"that":[70,85,132],"depict":[71,149],"their":[74],"evolution":[75],"over":[76],"time.":[77],"We":[78],"report":[79],"on":[80],"controlled":[82],"user":[83,124],"study":[84],"compared":[86],"four":[87],"common":[88],"visualization":[89],"techniques.":[90],"User":[91],"performance":[92,117],"preferences":[94],"were":[95],"measured":[96],"under":[97],"formal":[99],"task":[100],"taxonomy,":[101],"using":[102],"Twitter":[103],"data":[104],"about":[105],"real-world":[106],"events.":[107],"results,":[109],"although":[110],"highly":[111],"task-dependent,":[112],"show":[113],"both":[114],"an":[115],"overall":[116],"advantage":[118],"higher":[121],"level":[122],"preference":[125],"line":[128],"chart,":[129,135],"suggest":[131],"radar":[134],"despite":[136],"its":[137],"popularity":[138],"literature,":[141],"may":[142],"not":[143],"be":[144],"best":[146],"choice":[147],"such":[150],"data.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}