{"id":"https://openalex.org/W4396832691","doi":"https://doi.org/10.1145/3613905.3636318","title":"Human-Notebook Interactions: The CHI of Computational Notebooks","display_name":"Human-Notebook Interactions: The CHI of Computational Notebooks","publication_year":2024,"publication_date":"2024-05-11","ids":{"openalex":"https://openalex.org/W4396832691","doi":"https://doi.org/10.1145/3613905.3636318"},"language":"en","primary_location":{"id":"doi:10.1145/3613905.3636318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3636318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3636318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3636318","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061187158","display_name":"Jesse Harden","orcid":"https://orcid.org/0009-0000-7827-1327"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jesse Harden","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046673805","display_name":"April Yi Wang","orcid":"https://orcid.org/0000-0001-8724-4662"},"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":"April Yi Wang","raw_affiliation_strings":["Computer Science, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Computer Science, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037711609","display_name":"Rebecca Faust","orcid":"https://orcid.org/0000-0002-7640-1287"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca Faust","raw_affiliation_strings":["Computer Science, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009771339","display_name":"Katherine E. Isaacs","orcid":"https://orcid.org/0000-0002-9947-928X"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine E. Isaacs","raw_affiliation_strings":["SCI Institute and School of Computing, The University of Utah, United States"],"affiliations":[{"raw_affiliation_string":"SCI Institute and School of Computing, The University of Utah, United States","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048839624","display_name":"Nurit Kirshenbaum","orcid":"https://orcid.org/0000-0002-3587-1565"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nurit Kirshenbaum","raw_affiliation_strings":["University of Hawaii at Manoa, United States"],"affiliations":[{"raw_affiliation_string":"University of Hawaii at Manoa, United States","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061311189","display_name":"John Wenskovitch","orcid":"https://orcid.org/0000-0002-0573-6442"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wenskovitch","raw_affiliation_strings":["Artificial Intelligence & Data Analytics, Pacific Northwest National Laboratory, United States"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence & Data Analytics, Pacific Northwest National Laboratory, United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018820623","display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0001-5008-4319"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["School of Computer Science, University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["Sanghani Center for AI and Data Analytics, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Sanghani Center for AI and Data Analytics, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5061187158"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47859484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9945999979972839,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.7158757448196411},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6749606132507324},{"id":"https://openalex.org/keywords/computational-thinking","display_name":"Computational thinking","score":0.5706159472465515},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.5432842969894409},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.5242143869400024},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.5237712264060974},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48552536964416504},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4120684564113617},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37600696086883545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2030564248561859},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1941342055797577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16161063313484192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158757448196411},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6749606132507324},{"id":"https://openalex.org/C2780368719","wikidata":"https://www.wikidata.org/wiki/Q5157342","display_name":"Computational thinking","level":2,"score":0.5706159472465515},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.5432842969894409},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.5242143869400024},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.5237712264060974},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48552536964416504},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4120684564113617},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37600696086883545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2030564248561859},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1941342055797577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16161063313484192},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3613905.3636318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3636318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3636318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3613905.3636318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3636318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3636318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396832691.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2784241156","https://openalex.org/W2796040126","https://openalex.org/W2898377472","https://openalex.org/W2941232686","https://openalex.org/W3012094108","https://openalex.org/W3088281844","https://openalex.org/W3094507803","https://openalex.org/W3103019052","https://openalex.org/W3106759042","https://openalex.org/W3127102982","https://openalex.org/W3142151604","https://openalex.org/W3161042817","https://openalex.org/W3162449204","https://openalex.org/W4292261979"],"related_works":["https://openalex.org/W1593456883","https://openalex.org/W2369400006","https://openalex.org/W2380816171","https://openalex.org/W3143433749","https://openalex.org/W4376458480","https://openalex.org/W2907384944","https://openalex.org/W3205917186","https://openalex.org/W2500787716","https://openalex.org/W2805176976","https://openalex.org/W3194517161"],"abstract_inverted_index":{"The":[0],"overall":[1],"goal":[2],"of":[3,26,41,79,93,126,157],"this":[4,116,141],"workshop":[5,123,142],"is":[6],"to":[7,16,72,81],"bring":[8],"together":[9],"researchers":[10],"from":[11,75,101],"across":[12,76],"the":[13,24,35,53,90,155],"CHI":[14,80],"community":[15],"share":[17],"their":[18],"knowledge":[19],"and":[20,29,38,43,61,68,85,105,128,131,136,146,159],"build":[21],"collaborations":[22],"at":[23,154],"intersection":[25,156],"computational":[27,46,54,66,94,160],"notebook":[28,47,55,161],"HCI":[30,103,158],"research,":[31],"focusing":[32],"on":[33],"both":[34],"effective":[36,39],"design":[37],"use":[40,64],"interfaces":[42],"interactions":[44,62],"within":[45],"environments.":[48],"This":[49],"includes":[50],"innovating":[51],"upon":[52],"metaphor,":[56],"designing":[57],"new":[58],"tools,":[59],"interfaces,":[60],"for":[63,151],"with":[65,124],"notebooks,":[67,95],"more.":[69],"We":[70],"aim":[71],"pull":[73],"expertise":[74],"all":[77],"fields":[78],"deliver":[82],"novel":[83],"research":[84,153],"generate":[86],"open":[87],"discussion":[88],"about":[89],"current":[91],"state":[92],"how":[96,106],"it":[97],"can":[98,110],"be":[99],"improved":[100],"an":[102],"standpoint,":[104],"these":[107],"potential":[108],"improvements":[109],"direct":[111],"future":[112,152],"research.":[113],"To":[114],"achieve":[115],"goal,":[117],"we":[118],"propose":[119],"a":[120,137,149],"full-day,":[121],"hybrid":[122],"discussions":[125],"challenges":[127],"opportunities,":[129],"paper":[130],"demo":[132],"presentations,":[133],"lightning":[134],"talks,":[135],"keynote.":[138],"Participants":[139],"in":[140],"will":[143],"exchange":[144],"ideas":[145],"help":[147],"define":[148],"roadmap":[150],"design.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}