{"id":"https://openalex.org/W6963810821","doi":"https://doi.org/10.2312/evs.20221085","title":"How Effective are Uni- and Multivariate Typographic Encodings? Studying the Usage of FontWeight, Oblique Angle, and Spacing","display_name":"How Effective are Uni- and Multivariate Typographic Encodings? Studying the Usage of FontWeight, Oblique Angle, and Spacing","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6963810821","doi":"https://doi.org/10.2312/evs.20221085"},"language":"en","primary_location":{"id":"doi:10.2312/evs.20221085","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20221085","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":false,"raw_source_name":null,"raw_type":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/evs.20221085","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"B\u00e4uerle, Andreas","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"B\u00e4uerle, Andreas","raw_affiliation_strings":["Universtity Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Universtity Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Brath, Richard","orcid":null},"institutions":[{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Brath, Richard","raw_affiliation_strings":["Uncharted Software, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Uncharted Software, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I97750245"]}]},{"author_position":"last","author":{"id":null,"display_name":"El-Assady, Mennatallah","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"El-Assady, Mennatallah","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27469251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.25099998712539673,"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":0.25099998712539673,"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":0.20029999315738678,"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.06449999660253525,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oblique-case","display_name":"Oblique case","score":0.7520999908447266},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5705000162124634},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5440999865531921},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.49129998683929443},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.4812000095844269},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.38100001215934753},{"id":"https://openalex.org/keywords/scatter-plot","display_name":"Scatter plot","score":0.3107999861240387}],"concepts":[{"id":"https://openalex.org/C160697094","wikidata":"https://www.wikidata.org/wiki/Q1233197","display_name":"Oblique case","level":2,"score":0.7520999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179999709129333},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41620001196861267},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3582000136375427},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C31462909","wikidata":"https://www.wikidata.org/wiki/Q1045782","display_name":"Scatter plot","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C80797182","wikidata":"https://www.wikidata.org/wiki/Q17451","display_name":"Typeface","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C166422571","wikidata":"https://www.wikidata.org/wiki/Q159964","display_name":"Typography","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2824999988079071},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26260000467300415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/evs.20221085","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20221085","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":""}],"best_oa_location":{"id":"doi:10.2312/evs.20221085","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20221085","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":false,"raw_source_name":null,"raw_type":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text":[0],"is":[1,13],"one":[2],"of":[3,23,30,66,80,89],"the":[4,24,54,57,63,67,78,87,91],"most":[5],"commonly":[6],"used":[7,15],"ways":[8],"to":[9,71],"transmit":[10],"information.":[11],"It":[12],"widely":[14],"in":[16,38,83],"various":[17],"visualizations":[18,106],"and":[19,86],"determines":[20],"our":[21],"understanding":[22],"presented":[25],"content.":[26],"The":[27],"information":[28,52],"density":[29,53],"text":[31],"can":[32],"be":[33,72],"enhanced":[34],"by":[35],"visualizing":[36],"data":[37],"typographic":[39,68,84,105],"attributes,":[40],"such":[41],"as":[42],"font":[43,93],"weight,":[44],"letter":[45],"spacing,":[46],"or":[47,61,95,111],"oblique":[48],"angle.":[49],"To":[50],"increase":[51],"furthest,":[55],"without":[56,107],"visualization":[58],"losing":[59],"performance":[60,110],"effectiveness,":[62],"perceivable":[64],"granularity":[65],"attributes":[69,85],"needs":[70],"known.":[73],"In":[74],"an":[75],"empirical":[76],"experiment,":[77],"number":[79],"distinguishable":[81],"levels":[82],"effects":[88],"changing":[90],"associated":[92],"size":[94],"facilitating":[96],"multivariate":[97],"encoding":[98],"are":[99],"assessed.":[100],"Findings":[101],"facilitate":[102],"designing":[103],"information-dense":[104],"decreasing":[108],"their":[109],"effectiveness.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}