{"id":"https://openalex.org/W3009475146","doi":"https://doi.org/10.1145/3313831.3376771","title":"Using Bayes' Theorem for Command Input: Principle, Models, and Applications","display_name":"Using Bayes' Theorem for Command Input: Principle, Models, and Applications","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3009475146","doi":"https://doi.org/10.1145/3313831.3376771","mag":"3009475146"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376771","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376771","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074847446","display_name":"Suwen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suwen Zhu","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106417088","display_name":"Yoonsang Kim","orcid":"https://orcid.org/0009-0006-2341-3862"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoonsang Kim","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048789563","display_name":"Jingjie Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148186","display_name":"Google (Canada)","ror":"https://ror.org/04d06q394","country_code":"CA","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969","https://openalex.org/I4210148186"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jingjie Zheng","raw_affiliation_strings":["Google, Kitchener, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Kitchener, ON, Canada","institution_ids":["https://openalex.org/I4210148186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046888057","display_name":"Jennifer Yi Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Yi Luo","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042973489","display_name":"Ryan Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Qin","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049829177","display_name":"Liuping Wang","orcid":"https://orcid.org/0000-0002-7604-1322"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuping Wang","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006968418","display_name":"Xiangmin Fan","orcid":"https://orcid.org/0000-0003-4223-2320"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Fan","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034654931","display_name":"Feng Tian","orcid":"https://orcid.org/0000-0002-6598-419X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Tian","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016901770","display_name":"Xiaojun Bi","orcid":"https://orcid.org/0000-0002-9716-7709"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojun Bi","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6984,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82868352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"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":0.9988999962806702,"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/T10470","display_name":"Usability and User Interface Design","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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.8207701444625854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73361736536026},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.630647599697113},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6037023067474365},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5814592838287354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43170446157455444},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.420714408159256},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4119284451007843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4058662950992584},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3593619465827942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3427586555480957},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3064994812011719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22267672419548035},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10930788516998291}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.8207701444625854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73361736536026},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.630647599697113},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6037023067474365},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5814592838287354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43170446157455444},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.420714408159256},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4119284451007843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4058662950992584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3593619465827942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3427586555480957},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3064994812011719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22267672419548035},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10930788516998291},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313831.3376771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376771","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"}],"best_oa_location":{"id":"doi:10.1145/3313831.3376771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376771","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009475146.pdf","grobid_xml":"https://content.openalex.org/works/W3009475146.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W974220005","https://openalex.org/W1572821578","https://openalex.org/W1946604082","https://openalex.org/W1973394302","https://openalex.org/W1982673860","https://openalex.org/W1984520644","https://openalex.org/W2000698053","https://openalex.org/W2001264308","https://openalex.org/W2003330753","https://openalex.org/W2003849625","https://openalex.org/W2012241589","https://openalex.org/W2017236204","https://openalex.org/W2032007354","https://openalex.org/W2038304148","https://openalex.org/W2041258965","https://openalex.org/W2044498192","https://openalex.org/W2050037476","https://openalex.org/W2057243093","https://openalex.org/W2058526973","https://openalex.org/W2060748308","https://openalex.org/W2063080686","https://openalex.org/W2063632545","https://openalex.org/W2066362855","https://openalex.org/W2067534690","https://openalex.org/W2068257231","https://openalex.org/W2069657084","https://openalex.org/W2072075309","https://openalex.org/W2080160723","https://openalex.org/W2096986574","https://openalex.org/W2097248932","https://openalex.org/W2098924240","https://openalex.org/W2108518773","https://openalex.org/W2110654902","https://openalex.org/W2111326824","https://openalex.org/W2112824399","https://openalex.org/W2113725822","https://openalex.org/W2118803988","https://openalex.org/W2120629103","https://openalex.org/W2125872152","https://openalex.org/W2130229636","https://openalex.org/W2131297262","https://openalex.org/W2131483447","https://openalex.org/W2132986671","https://openalex.org/W2133990837","https://openalex.org/W2139624348","https://openalex.org/W2143355978","https://openalex.org/W2144007431","https://openalex.org/W2146143659","https://openalex.org/W2146532796","https://openalex.org/W2148723390","https://openalex.org/W2149344674","https://openalex.org/W2150056139","https://openalex.org/W2151567401","https://openalex.org/W2155385126","https://openalex.org/W2157289187","https://openalex.org/W2163096731","https://openalex.org/W2163125245","https://openalex.org/W2166565937","https://openalex.org/W2167357673","https://openalex.org/W2170417706","https://openalex.org/W2177008852","https://openalex.org/W2295007882","https://openalex.org/W2535420075","https://openalex.org/W2610508676","https://openalex.org/W2610874624","https://openalex.org/W2610981715","https://openalex.org/W2611841097","https://openalex.org/W2766638461","https://openalex.org/W2787255845","https://openalex.org/W2795433822","https://openalex.org/W2795861491","https://openalex.org/W2796343592","https://openalex.org/W2920852065","https://openalex.org/W2923526557","https://openalex.org/W4244109911"],"related_works":["https://openalex.org/W2343819364","https://openalex.org/W2133205540","https://openalex.org/W2046798682","https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2562263695","https://openalex.org/W3160546271","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W4311646318"],"abstract_inverted_index":{"Entering":[0],"commands":[1],"on":[2,23],"touchscreens":[3],"can":[4],"be":[5],"noisy,":[6],"but":[7],"existing":[8],"interfaces":[9],"commonly":[10],"adopt":[11],"deterministic":[12,104],"principles":[13,105],"for":[14,45,58,109,114],"deciding":[15,46],"targets":[16,47],"and":[17,61,64,88,111,126],"often":[18],"result":[19],"in":[20,33,48],"errors.":[21],"Building":[22],"prior":[24,60],"research":[25],"of":[26,72,85],"using":[27,103],"Bayes'":[28,38],"theorem":[29,39],"to":[30,52,68,80,102],"handle":[31],"uncertainty":[32],"input,":[34],"this":[35,73],"paper":[36],"formalized":[37],"as":[40,53],"a":[41],"generic":[42],"guiding":[43],"principle":[44,121],"command":[49,91,116],"input":[50,83],"(referred":[51],"\"BayesianCommand\"),":[54],"developed":[55],"three":[56],"models":[57],"estimating":[59],"likelihood":[62],"probabilities,":[63],"carried":[65],"out":[66],"experiments":[67],"demonstrate":[69],"the":[70,82,120],"effectiveness":[71],"formalization.":[74],"More":[75],"specifically,":[76],"we":[77],"applied":[78],"BayesianCommand":[79,98],"improve":[81],"accuracy":[84],"(1)":[86],"point-and-click":[87,110],"(2)":[89],"word-gesture":[90,115],"input.":[92],"Our":[93],"evaluation":[94],"showed":[95],"that":[96],"applying":[97,119],"reduced":[99],"errors":[100],"compared":[101],"(by":[106,123],"over":[107,124],"26.9%":[108],"by":[112],"39.9%":[113],"input)":[117],"or":[118],"partially":[122],"28.0%":[125],"24.5%).":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
