{"id":"https://openalex.org/W3162071453","doi":"https://doi.org/10.1145/3411764.3445434","title":"ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics","display_name":"ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3162071453","doi":"https://doi.org/10.1145/3411764.3445434","mag":"3162071453"},"language":"en","primary_location":{"id":"doi:10.1145/3411764.3445434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10129008/1/CHI2021-ToonNote.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043555498","display_name":"Daye Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"DaYe Kang","raw_affiliation_strings":["Industrial design department KAIST, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial design department KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112844138","display_name":"Tony Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tony Ho","raw_affiliation_strings":["Simon Fraser University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036819859","display_name":"Nicolai Marquardt","orcid":"https://orcid.org/0000-0002-5473-2448"},"institutions":[{"id":"https://openalex.org/I2801237587","display_name":"London Centre for Nanotechnology","ror":"https://ror.org/04ptp8872","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2801237587"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicolai Marquardt","raw_affiliation_strings":["UCL Interaction Centre University College London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCL Interaction Centre University College London, United Kingdom","institution_ids":["https://openalex.org/I2801237587","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017344436","display_name":"Bilge Mutlu","orcid":"https://orcid.org/0000-0002-9456-1495"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bilge Mutlu","raw_affiliation_strings":["Department of Computer Sciences University of Wisconsin-Madison, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences University of Wisconsin-Madison, United States","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054888097","display_name":"Andrea Bianchi","orcid":"https://orcid.org/0000-0002-7500-7974"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Andrea Bianchi","raw_affiliation_strings":["KAIST, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1048,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93024306,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.979200005531311,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.862553060054779},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.8483392000198364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.830596923828125},{"id":"https://openalex.org/keywords/comics","display_name":"Comics","score":0.7338286638259888},{"id":"https://openalex.org/keywords/formative-assessment","display_name":"Formative assessment","score":0.6315736770629883},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5093263387680054},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.45000743865966797},{"id":"https://openalex.org/keywords/program-comprehension","display_name":"Program comprehension","score":0.43187853693962097},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.413798451423645},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3796943724155426},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3733181059360504},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3444264531135559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2140500843524933},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.16667425632476807}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.862553060054779},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.8483392000198364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830596923828125},{"id":"https://openalex.org/C529099274","wikidata":"https://www.wikidata.org/wiki/Q1004","display_name":"Comics","level":2,"score":0.7338286638259888},{"id":"https://openalex.org/C42525527","wikidata":"https://www.wikidata.org/wiki/Q1209955","display_name":"Formative assessment","level":2,"score":0.6315736770629883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5093263387680054},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.45000743865966797},{"id":"https://openalex.org/C2777561058","wikidata":"https://www.wikidata.org/wiki/Q2652119","display_name":"Program comprehension","level":4,"score":0.43187853693962097},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.413798451423645},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3796943724155426},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3733181059360504},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3444264531135559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2140500843524933},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.16667425632476807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3411764.3445434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10129008","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10129008/","pdf_url":"https://discovery.ucl.ac.uk/10129008/1/CHI2021-ToonNote.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.  (pp. pp. 1-14).  ACM (2021)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10129008","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10129008/","pdf_url":"https://discovery.ucl.ac.uk/10129008/1/CHI2021-ToonNote.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.  (pp. pp. 1-14).  ACM (2021)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3162071453.pdf","grobid_xml":"https://content.openalex.org/works/W3162071453.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1594453896","https://openalex.org/W1633631835","https://openalex.org/W1995923922","https://openalex.org/W2112468969","https://openalex.org/W2129987023","https://openalex.org/W2157900633","https://openalex.org/W2170080350","https://openalex.org/W2182687482","https://openalex.org/W2236479588","https://openalex.org/W2513788019","https://openalex.org/W2517256332","https://openalex.org/W2529597677","https://openalex.org/W2607828140","https://openalex.org/W2609517807","https://openalex.org/W2752812934","https://openalex.org/W2784241156","https://openalex.org/W2789066399","https://openalex.org/W2792416149","https://openalex.org/W2796040126","https://openalex.org/W2890114759","https://openalex.org/W2917006730","https://openalex.org/W2941232686","https://openalex.org/W2941745510","https://openalex.org/W2971867419","https://openalex.org/W3011590361","https://openalex.org/W3012094108","https://openalex.org/W3029838198","https://openalex.org/W3125798375","https://openalex.org/W3137218931"],"related_works":["https://openalex.org/W3023169329","https://openalex.org/W2782165897","https://openalex.org/W4300438041","https://openalex.org/W2054104202","https://openalex.org/W2139703748","https://openalex.org/W2761254753","https://openalex.org/W1024825291","https://openalex.org/W2188981919","https://openalex.org/W3084909426","https://openalex.org/W3213706029"],"abstract_inverted_index":{"Computational":[0],"notebooks":[1,16,71,139],"help":[2],"data":[3],"analysts":[4,46,51],"analyze":[5],"and":[6,9,13,24,92,113,140],"visualize":[7],"datasets,":[8],"share":[10],"analysis":[11],"procedures":[12],"outputs.":[14],"However,":[15],"typically":[17],"combine":[18],"code":[19],"(e.g.,":[20,26],"Python":[21],"scripts),":[22],"notes,":[23],"outputs":[25],"tables,":[27],"graphs).":[28],"The":[29],"combination":[30],"of":[31,40,70,80,95,103,122,135],"disparate":[32],"materials":[33],"is":[34],"known":[35],"to":[36,47,142],"hinder":[37],"the":[38,54,68,85,96,101,109,120,123,132],"comprehension":[39],"notebooks,":[41],"making":[42],"it":[43],"difficult":[44],"for":[45,137],"collaborate":[48],"with":[49,53,116],"other":[50],"unfamiliar":[52],"dataset.":[55,97],"To":[56],"mitigate":[57],"this":[58],"problem,":[59],"we":[60],"introduce":[61],"ToonNote,":[62],"a":[63,77,81,104],"JupyterLab":[64],"extension":[65],"that":[66,107],"enables":[67],"conversion":[69],"into":[72],"\u201cdata":[73],"comics.\u201d":[74],"ToonNote":[75],"provides":[76],"simplified":[78],"view":[79],"Jupyter":[82],"notebook,":[83],"highlighting":[84],"most":[86],"important":[87],"results":[88,102],"while":[89],"supporting":[90],"interactive":[91],"free":[93],"exploration":[94],"This":[98],"paper":[99],"presents":[100],"formative":[105],"study":[106],"motivated":[108],"system,":[110],"its":[111],"implementation,":[112],"an":[114],"evaluation":[115],"12":[117],"users,":[118],"demonstrating":[119],"effectiveness":[121],"produced":[124],"comics.":[125],"We":[126],"discuss":[127],"how":[128],"our":[129],"findings":[130],"inform":[131],"future":[133],"design":[134],"interfaces":[136],"computational":[138],"features":[141],"support":[143],"diverse":[144],"collaborators.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
