{"id":"https://openalex.org/W3006944335","doi":"https://doi.org/10.1145/3313831.3376589","title":"Optimizing User Interface Layouts via Gradient Descent","display_name":"Optimizing User Interface Layouts via Gradient Descent","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3006944335","doi":"https://doi.org/10.1145/3313831.3376589","mag":"3006944335"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.10702","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040361192","display_name":"Peitong Duan","orcid":"https://orcid.org/0000-0003-4598-4552"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peitong Duan","raw_affiliation_strings":["Intel AI, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel AI, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031123023","display_name":"Casimir Wierzynski","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Casimir Wierzynski","raw_affiliation_strings":["Intel AI, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel AI, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024793931","display_name":"Lama Nachman","orcid":"https://orcid.org/0000-0002-5824-242X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lama Nachman","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9987999796867371,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8254276514053345},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7331328988075256},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6740957498550415},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5664839744567871},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5662855505943298},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5468676686286926},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4408416152000427},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.4230250120162964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33570635318756104},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33368468284606934},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3267938792705536},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12243720889091492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8254276514053345},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7331328988075256},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6740957498550415},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5664839744567871},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5662855505943298},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5468676686286926},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4408416152000427},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4230250120162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33570635318756104},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33368468284606934},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3267938792705536},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12243720889091492},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3313831.3376589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.10702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10702","pdf_url":"https://arxiv.org/pdf/2002.10702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.10702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10702","pdf_url":"https://arxiv.org/pdf/2002.10702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1972659087","https://openalex.org/W2003511471","https://openalex.org/W2040975718","https://openalex.org/W2041547758","https://openalex.org/W2074157208","https://openalex.org/W2106608991","https://openalex.org/W2109168899","https://openalex.org/W2115210820","https://openalex.org/W2179427518","https://openalex.org/W2225340466","https://openalex.org/W2395998745","https://openalex.org/W2400730403","https://openalex.org/W2401887447","https://openalex.org/W2413358622","https://openalex.org/W2611019692","https://openalex.org/W2796252519","https://openalex.org/W2803838227","https://openalex.org/W2916286502","https://openalex.org/W2964045283","https://openalex.org/W4239127880","https://openalex.org/W4254360402"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W2155505549","https://openalex.org/W2115913271","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W2043253324","https://openalex.org/W2161684601","https://openalex.org/W1649706580","https://openalex.org/W3195608031"],"abstract_inverted_index":{"Automating":[0],"parts":[1],"of":[2,23,36,134,145],"the":[3,21,42,92,121,126,131],"user":[4],"interface":[5],"(UI)":[6],"design":[7],"process":[8],"has":[9],"been":[10,96],"a":[11,32,135],"longstanding":[12],"challenge.":[13],"We":[14,60,81],"present":[15],"an":[16,77],"automated":[17],"technique":[18],"for":[19],"optimizing":[20],"layouts":[22,144],"mobile":[24,74],"UIs.":[25],"Our":[26],"method":[27,85],"uses":[28],"gradient":[29],"descent":[30],"on":[31,66],"neural":[33,67],"network":[34,68],"model":[35,93],"task":[37,57,132],"performance":[38,70,133],"with":[39,76,103],"respect":[40],"to":[41,45,72,86,99,117,140],"model's":[43],"inputs":[44],"make":[46],"layout":[47,101],"modifications":[48],"that":[49,91],"result":[50],"in":[51,120,129],"improved":[52,105],"predicted":[53,106],"error":[54],"rates":[55],"and":[56,137,142],"completion":[58],"times.":[59],"start":[61],"by":[62],"extending":[63],"prior":[64],"work":[65],"based":[69],"prediction":[71],"2-dimensional":[73],"UIs":[75],"expanded":[78],"interaction":[79],"space.":[80],"then":[82],"apply":[83],"our":[84],"two":[87],"UIs,":[88],"including":[89],"one":[90],"had":[94],"not":[95],"trained":[97],"on,":[98],"discover":[100],"alternatives":[102],"significantly":[104],"performance.":[107],"Finally,":[108],"we":[109],"confirm":[110],"these":[111],"predictions":[112],"experimentally,":[113],"showing":[114],"improvements":[115],"up":[116],"9.2":[118],"percent":[119],"optimized":[122],"layouts.":[123],"This":[124],"demonstrates":[125],"algorithm's":[127],"efficacy":[128],"improving":[130],"layout,":[136],"its":[138],"ability":[139],"generalize":[141],"improve":[143],"new":[146],"interfaces.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
