{"id":"https://openalex.org/W3037851861","doi":"https://doi.org/10.2312/evs.20201059","title":"Glyph-Based Visualization of Affective States","display_name":"Glyph-Based Visualization of Affective States","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037851861","doi":"https://doi.org/10.2312/evs.20201059","mag":"3037851861"},"language":"en","primary_location":{"id":"doi:10.2312/evs.20201059","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201059","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":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/evs.20201059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061306069","display_name":"Nikola Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0002-1337-7670"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kovacevic, Nikola","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015553607","display_name":"Rafael Wampfler","orcid":"https://orcid.org/0000-0003-0158-1305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wampfler, Rafael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069878201","display_name":"Barbara Solenthaler","orcid":"https://orcid.org/0000-0001-7494-8660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Solenthaler, Barbara","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gross, Markus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088860259","display_name":"Tobias G\u00fcnther","orcid":"https://orcid.org/0000-0002-3020-0930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fcnther, Tobias","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061306069"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48504403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.6618000268936157,"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":0.6618000268936157,"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/T13283","display_name":"Mental Health Research Topics","score":0.5896999835968018,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.5439000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.9078556299209595},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7229955196380615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941704750061035},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5175080299377441},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4049072265625},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3849794268608093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3733997642993927}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.9078556299209595},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7229955196380615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941704750061035},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5175080299377441},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4049072265625},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3849794268608093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3733997642993927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/evs.20201059","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201059","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":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/evs.20201059","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201059","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":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2958977657","https://openalex.org/W2090371563","https://openalex.org/W3037413589","https://openalex.org/W2889535914","https://openalex.org/W1893118838","https://openalex.org/W2886118084","https://openalex.org/W2150720718","https://openalex.org/W2423964256","https://openalex.org/W3103930327","https://openalex.org/W3155163323","https://openalex.org/W2140376300","https://openalex.org/W2049652219","https://openalex.org/W1651078110","https://openalex.org/W1617242785","https://openalex.org/W2889165333","https://openalex.org/W1898893341","https://openalex.org/W3100134033","https://openalex.org/W2859716810","https://openalex.org/W2990559191","https://openalex.org/W3001598112"],"abstract_inverted_index":{"Decades":[0],"of":[1,9,15,40,58,70,156],"research":[2],"in":[3,26,140,154],"psychology":[4],"on":[5,36,52,83,98,149],"the":[6,13,19,37,43,53,62,71,91,99,104,107,119,136,158],"formal":[7],"measurement":[8],"emotions":[10],"led":[11],"to":[12,32,142],"concept":[14],"affective":[16,21,38,63,93,121],"states.":[17],"Visualizing":[18,61],"measured":[20],"state":[22,39,64,74],"can":[23,48,65,79],"be":[24,49],"useful":[25],"education,":[27],"as":[28],"it":[29],"allows":[30],"teachers":[31],"adapt":[33],"lessons":[34],"based":[35,51],"students.":[41],"In":[42,129],"entertainment":[44],"industry,":[45],"game":[46],"mechanics":[47],"adapted":[50],"boredom":[54],"and":[55,106,126,146,151],"frustration":[56],"levels":[57],"a":[59,124,130,143],"player.":[60],"also":[66],"increase":[67],"emotional":[68],"self-awareness":[69],"user":[72,87,114,131],"whose":[73],"is":[75],"being":[76],"measured,":[77],"which":[78],"have":[80],"an":[81],"impact":[82],"well-being.":[84],"However,":[85],"graphical":[86,113],"interfaces":[88],"seldom":[89],"visualize":[90,118],"user's":[92,120],"state,":[94,122],"but":[95],"rather":[96],"focus":[97],"purely":[100],"objective":[101],"interaction":[102],"between":[103],"system":[105],"user.":[108],"This":[109],"paper":[110],"proposes":[111],"two":[112,164],"interface":[115],"widgets":[116,137],"that":[117],"ensuring":[123],"compact":[125],"unobtrusive":[127],"visualization.":[128],"study":[132],"with":[133],"644":[134],"participants,":[135],"were":[138,147],"evaluated":[139],"relation":[141],"baseline":[144,159],"widget":[145],"tested":[148],"intuitiveness":[150],"understandability.":[152],"Particularly":[153],"terms":[155],"understandability,":[157],"was":[160],"outperformed":[161],"by":[162],"our":[163],"widgets.":[165]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}