{"id":"https://openalex.org/W3201055780","doi":"https://doi.org/10.1145/3447526.3472049","title":"A Scenario Adaptive Model for Predicting Error Rates in Moving Target Selection on Smartphones","display_name":"A Scenario Adaptive Model for Predicting Error Rates in Moving Target Selection on Smartphones","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W3201055780","doi":"https://doi.org/10.1145/3447526.3472049","mag":"3201055780"},"language":"en","primary_location":{"id":"doi:10.1145/3447526.3472049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447526.3472049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447526.3472049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction","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/10.1145/3447526.3472049","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100661223","display_name":"Yawen Zheng","orcid":"https://orcid.org/0000-0002-9630-8194"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"yawen zheng","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109470486","display_name":"Jin Huang","orcid":"https://orcid.org/0000-0002-2833-8041"},"institutions":[{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Huang","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446328","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0003-1069-2875"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863852","display_name":"Chenglei Yang","orcid":"https://orcid.org/0000-0002-9353-8218"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglei Yang","raw_affiliation_strings":["College of Software Shandong University, China"],"affiliations":[{"raw_affiliation_string":"College of Software Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","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":"funder","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, China"],"affiliations":[{"raw_affiliation_string":"Institute of software, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100661223"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.6724,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.700883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9962999820709229,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9955000281333923,"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":0.8121439218521118},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.8086563348770142},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.613604724407196},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5467242002487183},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5163384675979614},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.49676018953323364},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47089818120002747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42551174759864807},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4243500232696533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3639005124568939}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121439218521118},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.8086563348770142},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.613604724407196},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5467242002487183},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5163384675979614},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.49676018953323364},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47089818120002747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42551174759864807},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4243500232696533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3639005124568939},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1145/3447526.3472049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447526.3472049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447526.3472049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3447526.3472049","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447526.3472049","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447526.3472049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G299660529","display_name":null,"funder_award_id":"61802232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5475301337","display_name":null,"funder_award_id":"18022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6408405416","display_name":null,"funder_award_id":"20820211005","funder_id":"https://openalex.org/F4320311026","funder_display_name":"Shandong University"},{"id":"https://openalex.org/G7539905487","display_name":null,"funder_award_id":"202110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7547762796","display_name":null,"funder_award_id":"2020113","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G8165384517","display_name":null,"funder_award_id":"62007021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8481500836","display_name":null,"funder_award_id":"61802379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201055780.pdf","grobid_xml":"https://content.openalex.org/works/W3201055780.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1231215209","https://openalex.org/W1575989225","https://openalex.org/W1974199094","https://openalex.org/W1977556410","https://openalex.org/W1978917719","https://openalex.org/W2004970449","https://openalex.org/W2010361629","https://openalex.org/W2028618039","https://openalex.org/W2032361119","https://openalex.org/W2072075309","https://openalex.org/W2072636209","https://openalex.org/W2098177522","https://openalex.org/W2108563939","https://openalex.org/W2110276090","https://openalex.org/W2125239175","https://openalex.org/W2131142774","https://openalex.org/W2133455029","https://openalex.org/W2137064765","https://openalex.org/W2148723390","https://openalex.org/W2158130108","https://openalex.org/W2168124074","https://openalex.org/W2273102232","https://openalex.org/W2337690894","https://openalex.org/W2400074865","https://openalex.org/W2404594755","https://openalex.org/W2535420075","https://openalex.org/W2795496097","https://openalex.org/W2795705486","https://openalex.org/W2795989883","https://openalex.org/W2803331364","https://openalex.org/W2886597585","https://openalex.org/W2890940491","https://openalex.org/W2912630731","https://openalex.org/W2941939343","https://openalex.org/W2980458326","https://openalex.org/W3006329949","https://openalex.org/W3030431617","https://openalex.org/W3030492449","https://openalex.org/W3090869516","https://openalex.org/W3104868866","https://openalex.org/W4235234196","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W3121791438","https://openalex.org/W2028631639"],"abstract_inverted_index":{"Modeling":[0],"error":[1,33,79,115],"rates":[2,34,80,116],"in":[3,9,17,31,70,81,95,114],"moving":[4],"target":[5],"selection":[6],"is":[7],"critical":[8],"guiding":[10],"the":[11,18,25,63,78,90,93,100,125,132],"design":[12],"and":[13,74,99,103,107],"improving":[14],"user":[15,19],"performance":[16],"interface":[20,141],"with":[21,109,131],"dynamic":[22],"contents.":[23],"Despite":[24],"high":[26],"accuracy":[27],"of":[28,45,65,92,118],"existing":[29],"models":[30],"predicting":[32],"for":[35,47,137],"various":[36],"inputs,":[37],"they":[38],"need":[39],"to":[40,124],"fit":[41],"a":[42,48,55,71,110],"large":[43],"number":[44],"samples":[46],"specific":[49,72,96],"interaction":[50],"scenario.":[51,83],"This":[52],"paper":[53],"presents":[54],"scenario":[56],"adaptive":[57],"model":[58,94,120],"that":[59],"can":[60],"quickly":[61],"learn":[62],"characterizes":[64],"endpoints":[66],"from":[67,134],"small":[68],"data":[69],"scenario,":[73],"then":[75],"accurately":[76],"predict":[77],"this":[82],"We":[84,129],"report":[85],"on":[86],"two":[87],"studies":[88],"evaluating":[89],"adaptability":[91],"users":[97],"(children":[98],"older":[101],"user)":[102],"pointing":[104],"postures":[105],"(walking":[106],"one-handed)":[108],"smartphone.":[111],"Significant":[112],"improvements":[113],"prediction":[117],"our":[119,135],"were":[121],"observed":[122],"compared":[123],"previous":[126],"non-adaptive":[127],"one.":[128],"conclude":[130],"findings":[133],"results":[136],"insights":[138],"into":[139],"future":[140],"design.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
