{"id":"https://openalex.org/W3092971385","doi":"https://doi.org/10.1145/3369839","title":"Facilitating Temporal Synchronous Target Selection through User Behavior Modeling","display_name":"Facilitating Temporal Synchronous Target Selection through User Behavior Modeling","publication_year":2019,"publication_date":"2019-12-11","ids":{"openalex":"https://openalex.org/W3092971385","doi":"https://doi.org/10.1145/3369839","mag":"3092971385"},"language":"en","primary_location":{"id":"doi:10.1145/3369839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369839","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034031735","display_name":"Tengxiang Zhang","orcid":"https://orcid.org/0000-0002-0949-2801"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengxiang Zhang","raw_affiliation_strings":["Tsinghua University, Institute of Computing Technology, Chinese Academy of Sciences, Kexueyuan South Road, Beijing"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Institute of Computing Technology, Chinese Academy of Sciences, Kexueyuan South Road, Beijing","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I99065089","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068034013","display_name":"Xin Yi","orcid":"https://orcid.org/0000-0001-8041-7962"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xin Yi","raw_affiliation_strings":["Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University","institution_ids":["https://openalex.org/I29955533","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746359","display_name":"Ruolin Wang","orcid":"https://orcid.org/0000-0001-9327-3793"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolin Wang","raw_affiliation_strings":["Tsinghua University, UCLA"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, UCLA","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319198","display_name":"Jiayuan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Gao","raw_affiliation_strings":["Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing"],"affiliations":[{"raw_affiliation_string":"Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605902","display_name":"Yuntao Wang","orcid":"https://orcid.org/0000-0002-4249-8893"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Wang","raw_affiliation_strings":["Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing"],"affiliations":[{"raw_affiliation_string":"Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043272273","display_name":"Chun Yu","orcid":"https://orcid.org/0000-0003-2591-7993"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yu","raw_affiliation_strings":["Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing"],"affiliations":[{"raw_affiliation_string":"Global Innovation eXchange Institute, Key Laboratory of Pervasive Computing, Ministry of Education, Beijing Key Lab of Networked Multimedia, Department of Computer Science and Technology, Tsinghua University, Shuangqing Road, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753139","display_name":"Simin Li","orcid":"https://orcid.org/0000-0003-4548-4216"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simin Li","raw_affiliation_strings":["Department of Electrical and Computing Engineering, Beihang University, Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computing Engineering, Beihang University, Beijing","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057896400","display_name":"Yuanchun Shi","orcid":"https://orcid.org/0000-0003-2273-6927"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchun Shi","raw_affiliation_strings":["Tsinghua University, Shuangqing Road, Beijing"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shuangqing Road, Beijing","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5034031735"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.3042,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.92318436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"3","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9995999932289124,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9995999932289124,"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":0.9987000226974487,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.814365565776825},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6125136017799377},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5834119915962219},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5017147064208984},{"id":"https://openalex.org/keywords/sync","display_name":"sync","score":0.4916086792945862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4650052487850189},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42755335569381714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42666101455688477},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42188209295272827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36546266078948975},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3450363278388977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814365565776825},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6125136017799377},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5834119915962219},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5017147064208984},{"id":"https://openalex.org/C3913047","wikidata":"https://www.wikidata.org/wiki/Q1956265","display_name":"sync","level":3,"score":0.4916086792945862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4650052487850189},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42755335569381714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42666101455688477},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42188209295272827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36546266078948975},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3450363278388977},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369839","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7246911398","display_name":null,"funder_award_id":"61572471","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1543289039","https://openalex.org/W1680189815","https://openalex.org/W1974923332","https://openalex.org/W1975406579","https://openalex.org/W1977646663","https://openalex.org/W1982888599","https://openalex.org/W1983239853","https://openalex.org/W1995055145","https://openalex.org/W2006093461","https://openalex.org/W2023298509","https://openalex.org/W2026913446","https://openalex.org/W2030935403","https://openalex.org/W2055200947","https://openalex.org/W2058420393","https://openalex.org/W2076825472","https://openalex.org/W2077819131","https://openalex.org/W2098125043","https://openalex.org/W2106719310","https://openalex.org/W2120805674","https://openalex.org/W2131425694","https://openalex.org/W2138313635","https://openalex.org/W2144533308","https://openalex.org/W2149915387","https://openalex.org/W2176017127","https://openalex.org/W2346389740","https://openalex.org/W2394878726","https://openalex.org/W2394898941","https://openalex.org/W2510740966","https://openalex.org/W2516359176","https://openalex.org/W2586353452","https://openalex.org/W2608298913","https://openalex.org/W2611427051","https://openalex.org/W2625202521","https://openalex.org/W2753005776","https://openalex.org/W2755890641","https://openalex.org/W2765986156","https://openalex.org/W2766328706","https://openalex.org/W2782763581","https://openalex.org/W2782930323","https://openalex.org/W2792742628","https://openalex.org/W2861076619","https://openalex.org/W2895693585","https://openalex.org/W2896198943","https://openalex.org/W2897647475","https://openalex.org/W2908341605","https://openalex.org/W2921414659","https://openalex.org/W2921476603","https://openalex.org/W2942433159","https://openalex.org/W2949482420","https://openalex.org/W2976220581","https://openalex.org/W4229800322","https://openalex.org/W4251945480"],"related_works":["https://openalex.org/W2063547430","https://openalex.org/W2524993630","https://openalex.org/W2607244263","https://openalex.org/W2234430299","https://openalex.org/W1831690014","https://openalex.org/W1561022130","https://openalex.org/W1878822803","https://openalex.org/W1995263003","https://openalex.org/W2222580448","https://openalex.org/W4206700937"],"abstract_inverted_index":{"Temporal":[0],"synchronous":[1],"target":[2,12],"selection":[3,7,156,175],"is":[4,166],"an":[5],"association-free":[6],"technique:":[8],"users":[9,75],"select":[10],"a":[11,78,150],"by":[13,63],"generating":[14],"signals":[15],"(e.g.,":[16],"finger":[17,79,93],"taps":[18],"and":[19,34,88,90,184],"hand":[20],"claps)":[21],"in":[22,80],"sync":[23,81],"with":[24,82,85],"its":[25],"unique":[26],"temporal":[27],"pattern.":[28],"However,":[29],"classical":[30,144],"pattern":[31,105,132],"set":[32],"design":[33],"input":[35,164],"recognition":[36],"algorithm":[37],"of":[38,116],"such":[39],"techniques":[40],"did":[41],"not":[42],"leverage":[43],"users'":[44,65],"behavioral":[45],"information,":[46],"which":[47,153],"limits":[48],"their":[49,92],"robustness":[50],"to":[51,76,109,119,140,181],"imprecise":[52,120],"inputs.":[53,121],"In":[54,68,122],"this":[55],"paper,":[56],"we":[57,73,103,127],"improve":[58],"these":[59],"two":[60],"key":[61],"components":[62],"modeling":[64],"interaction":[66],"behavior.":[67],"the":[69,101,114,123,130,143,159,163,174],"first":[70],"user":[71,125],"study,":[72,126],"asked":[74],"tap":[77],"blinking":[83],"patterns":[84],"various":[86],"period":[87],"delay,":[89],"modeled":[91],"tapping":[94],"ability":[95],"using":[96],"Gaussian":[97],"distribution.":[98],"Based":[99],"on":[100],"results,":[102],"generated":[104],"sets":[106,133],"for":[107,142],"up":[108],"22":[110],"targets":[111],"that":[112,129,173],"minimized":[113],"possibility":[115],"confusion":[117],"due":[118],"second":[124],"validated":[128],"optimized":[131],"could":[134],"reduce":[135],"error":[136],"rate":[137],"from":[138],"23%":[139],"7%":[141],"Correlation":[145,160],"recognizer.":[146],"We":[147],"also":[148],"tested":[149],"novel":[151],"Bayesian,":[152],"achieved":[154],"higher":[155],"accuracy":[157],"than":[158],"recognizer":[161],"when":[162],"sequence":[165],"short.":[167],"The":[168],"informal":[169],"evaluation":[170],"results":[171],"show":[172],"technique":[176],"can":[177],"be":[178],"effectively":[179],"scaled":[180],"different":[182],"modalities":[183],"sensing":[185],"techniques.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
