{"id":"https://openalex.org/W4225163156","doi":"https://doi.org/10.1145/3491102.3517678","title":"Supporting Accessible Data Visualization Through Audio Data Narratives","display_name":"Supporting Accessible Data Visualization Through Audio Data Narratives","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4225163156","doi":"https://doi.org/10.1145/3491102.3517678"},"language":"en","primary_location":{"id":"doi:10.1145/3491102.3517678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491102.3517678","pdf_url":null,"source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","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/A5026711201","display_name":"Alexa Siu","orcid":"https://orcid.org/0000-0002-4879-1476"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexa Siu","raw_affiliation_strings":["Stanford University, United States and Adobe Research, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, United States and Adobe Research, United States","institution_ids":["https://openalex.org/I1306409833","https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gene S-H Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gene S-H Kim","raw_affiliation_strings":["Stanford University, Stanford University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford University, United States","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071551963","display_name":"Sile O\u2019Modhrain","orcid":"https://orcid.org/0000-0003-3804-5469"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sile O'Modhrain","raw_affiliation_strings":["University of Michigan, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039900558","display_name":"Sean Follmer","orcid":"https://orcid.org/0000-0001-5592-5949"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Follmer","raw_affiliation_strings":["Mechanical Engineering, Stanford University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering, Stanford University, United States","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9003,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96415985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9993000030517578,"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":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9907000064849854,"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/T11309","display_name":"Music and Audio Processing","score":0.9833999872207642,"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/sonification","display_name":"Sonification","score":0.9139070510864258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8147481679916382},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.7917501926422119},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6385440826416016},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5627167820930481},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4849977195262909},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48015516996383667},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.45041391253471375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3321229815483093},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32113829255104065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16575944423675537}],"concepts":[{"id":"https://openalex.org/C91607612","wikidata":"https://www.wikidata.org/wiki/Q1416058","display_name":"Sonification","level":2,"score":0.9139070510864258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147481679916382},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.7917501926422119},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6385440826416016},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5627167820930481},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4849977195262909},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48015516996383667},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.45041391253471375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3321229815483093},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32113829255104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16575944423675537},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491102.3517678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491102.3517678","pdf_url":null,"source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1536091370","https://openalex.org/W1567604534","https://openalex.org/W1568266824","https://openalex.org/W1576209423","https://openalex.org/W1581627361","https://openalex.org/W1835776286","https://openalex.org/W1983196970","https://openalex.org/W1987135115","https://openalex.org/W1988051780","https://openalex.org/W1989932830","https://openalex.org/W2007192974","https://openalex.org/W2040148652","https://openalex.org/W2053552983","https://openalex.org/W2058203255","https://openalex.org/W2067083952","https://openalex.org/W2081811286","https://openalex.org/W2090095712","https://openalex.org/W2104617690","https://openalex.org/W2106330396","https://openalex.org/W2107303974","https://openalex.org/W2109104042","https://openalex.org/W2113825416","https://openalex.org/W2130774862","https://openalex.org/W2157900633","https://openalex.org/W2161377823","https://openalex.org/W2295423240","https://openalex.org/W2336188181","https://openalex.org/W2563723796","https://openalex.org/W2588822708","https://openalex.org/W2618602706","https://openalex.org/W2810425927","https://openalex.org/W2900701007","https://openalex.org/W2941745510","https://openalex.org/W3029105705","https://openalex.org/W3045568791","https://openalex.org/W3085288686","https://openalex.org/W3096861106","https://openalex.org/W3114707014","https://openalex.org/W3126172904","https://openalex.org/W3127220606","https://openalex.org/W3127307774","https://openalex.org/W3160113833","https://openalex.org/W3160542239","https://openalex.org/W3165650553","https://openalex.org/W3202687543","https://openalex.org/W3205073065","https://openalex.org/W3205973265","https://openalex.org/W4200375399","https://openalex.org/W4205697214","https://openalex.org/W4226149412","https://openalex.org/W4235375376","https://openalex.org/W4255125582","https://openalex.org/W7017383007"],"related_works":["https://openalex.org/W4304099409","https://openalex.org/W1521847617","https://openalex.org/W2131473689","https://openalex.org/W2170857870","https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2170543137","https://openalex.org/W2189613078"],"abstract_inverted_index":{"Online":[0],"data":[1,25,43,54,80,102,132],"visualizations":[2],"play":[3],"an":[4,100],"important":[5],"role":[6],"in":[7,142],"informing":[8],"public":[9],"opinion":[10],"but":[11],"are":[12],"often":[13],"inaccessible":[14],"to":[15,37,55,67,97],"screen":[16,64,114],"reader":[17,65,115],"users.":[18,116],"To":[19],"address":[20],"the":[21,28,38,73,128,140,144],"need":[22],"for":[23],"accessible":[24],"representations":[26],"on":[27,83],"web":[29],"that":[30,71],"provide":[31],"direct,":[32],"multimodal,":[33],"and":[34,49,76,86,138,146],"up-to-date":[35],"access":[36],"data,":[39],"we":[40,91],"investigate":[41],"audio":[42,101,120],"narratives":[44,133],"\u2013which":[45],"combine":[46],"textual":[47],"descriptions":[48],"sonification":[50,145],"(the":[51],"mapping":[52],"of":[53,78],"non-speech":[56],"sounds).":[57],"We":[58,108],"conduct":[59],"two":[60],"co-design":[61],"workshops":[62],"with":[63,112,119],"users":[66,122],"define":[68],"design":[69],"principles":[70,85],"guide":[72],"structure,":[74],"content,":[75],"duration":[77],"a":[79,93,105],"narrative.":[81],"Based":[82],"these":[84],"relevant":[87],"auditory":[88],"processing":[89],"characteristics,":[90],"propose":[92],"dynamic":[94],"programming":[95],"approach":[96,111],"automatically":[98],"generate":[99],"narrative":[103],"from":[104,127],"given":[106],"dataset.":[107],"evaluate":[109],"our":[110],"16":[113],"Findings":[117],"show":[118],"narratives,":[121],"gain":[123],"significantly":[124],"more":[125],"insights":[126],"data.":[129],"Users":[130],"describe":[131],"help":[134],"them":[135],"better":[136],"extract":[137],"comprehend":[139],"information":[141],"both":[143],"description.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}