{"id":"https://openalex.org/W2124810338","doi":"https://doi.org/10.1145/2556288.2557414","title":"Both complete and correct?","display_name":"Both complete and correct?","publication_year":2014,"publication_date":"2014-04-26","ids":{"openalex":"https://openalex.org/W2124810338","doi":"https://doi.org/10.1145/2556288.2557414","mag":"2124810338"},"language":"en","primary_location":{"id":"doi:10.1145/2556288.2557414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2556288.2557414","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2557414&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI 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":"http://dl.acm.org/ft_gateway.cfm?id=2557414&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016901770","display_name":"Xiaojun Bi","orcid":"https://orcid.org/0000-0002-9716-7709"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaojun Bi","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075037874","display_name":"Tom Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Ouyang","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005293560","display_name":"Shumin Zhai","orcid":"https://orcid.org/0000-0003-0752-2090"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shumin Zhai","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016901770"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":5.8364,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.9607693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2297","last_page":"2306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9957000017166138,"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/T10888","display_name":"Augmented Reality Applications","score":0.991599977016449,"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/touchscreen","display_name":"Touchscreen","score":0.7403690814971924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733086109161377},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.49730971455574036},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44913262128829956},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4408406615257263},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.4229188859462738},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41567185521125793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3569532632827759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3399971127510071},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33639663457870483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24368605017662048},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14345067739486694},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.08554008603096008}],"concepts":[{"id":"https://openalex.org/C2778539339","wikidata":"https://www.wikidata.org/wiki/Q165970","display_name":"Touchscreen","level":2,"score":0.7403690814971924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733086109161377},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.49730971455574036},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44913262128829956},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4408406615257263},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.4229188859462738},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41567185521125793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3569532632827759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3399971127510071},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33639663457870483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24368605017662048},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14345067739486694},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.08554008603096008},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2556288.2557414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2556288.2557414","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2557414&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2556288.2557414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2556288.2557414","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2557414&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2124810338.pdf","grobid_xml":"https://content.openalex.org/works/W2124810338.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1550321890","https://openalex.org/W1563698035","https://openalex.org/W1590330054","https://openalex.org/W1964868374","https://openalex.org/W1999806644","https://openalex.org/W2001340812","https://openalex.org/W2050188448","https://openalex.org/W2099287431","https://openalex.org/W2113893685","https://openalex.org/W2118711147","https://openalex.org/W2124818189","https://openalex.org/W2125904902","https://openalex.org/W2133990837","https://openalex.org/W2134512786","https://openalex.org/W2134549953","https://openalex.org/W2140327016","https://openalex.org/W2140986116","https://openalex.org/W2148723390","https://openalex.org/W2157425833","https://openalex.org/W2165645720","https://openalex.org/W2182784532","https://openalex.org/W2496854066","https://openalex.org/W2615258659","https://openalex.org/W2753114707"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W1971520370"],"abstract_inverted_index":{"Correcting":[0],"erroneous":[1],"input":[2,12],"(i.e.,":[3,13],"correction)":[4],"and":[5,75,88,128,135,151],"completing":[6],"a":[7,21,69,90],"word":[8],"based":[9,122],"on":[10,123],"partial":[11],"completion)":[14],"are":[15,34],"two":[16,32],"important":[17],"\"smart\"":[18],"capabilities":[19,33],"of":[20,111],"modern":[22],"intelligent":[23],"touchscreen":[24],"keyboard.":[25],"However":[26],"little":[27],"is":[28,64,121],"known":[29],"whether":[30],"these":[31],"conflicting":[35],"or":[36],"compatible":[37],"with":[38],"each":[39],"other":[40],"in":[41,116,139],"the":[42,53,98,109,112,124,129,133,145],"keyboard":[43,70,78,117],"parameter":[44],"tuning.":[45],"Applying":[46],"computational":[47,142],"optimization":[48,114,127,143],"methods,":[49],"this":[50],"work":[51,60],"explores":[52],"optimality":[54],"issues":[55],"related":[56],"to":[57,66,86,93,97],"them.":[58],"The":[59,77],"demonstrates":[61,108],"that":[62],"it":[63],"possible":[65],"simultaneously":[67,79],"optimize":[68],"algorithm":[71,118],"for":[72,81,102],"both":[73,82],"correction":[74,87,146],"completion.":[76],"optimized":[80,101],"introduces":[83],"no":[84],"compromise":[85,92],"only":[89],"slight":[91],"completion":[94,152],"when":[95],"compared":[96],"keyboards":[99],"exclusively":[100],"one":[103],"objective.":[104],"Our":[105],"research":[106],"also":[107],"effectiveness":[110],"proposed":[113],"method":[115],"design,":[119],"which":[120],"Pareto":[125],"multi-objective":[126],"Metropolis":[130],"algorithm.":[131],"For":[132],"development":[134],"test":[136],"datasets":[137],"used":[138],"our":[140],"experiments,":[141],"improved":[144],"accuracy":[147],"rate":[148],"by":[149,154],"8.3%":[150],"power":[153],"17.7%.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}