{"id":"https://openalex.org/W1999806644","doi":"https://doi.org/10.1145/1040830.1040867","title":"Relaxing stylus typing precision by geometric pattern matching","display_name":"Relaxing stylus typing precision by geometric pattern matching","publication_year":2005,"publication_date":"2005-01-10","ids":{"openalex":"https://openalex.org/W1999806644","doi":"https://doi.org/10.1145/1040830.1040867","mag":"1999806644"},"language":"en","primary_location":{"id":"doi:10.1145/1040830.1040867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1040830.1040867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Intelligent user interfaces","raw_type":"proceedings-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/A5055396829","display_name":"Per-Ola Kristensson","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Per-Ola Kristensson","raw_affiliation_strings":["Link\u00f6pings Universitet, Link\u00f6ping, Sweden and IBM Almaden Research Center, San Jose, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link\u00f6pings Universitet, Link\u00f6ping, Sweden and IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I102134673"]}]},{"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/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shumin Zhai","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6918,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.90623638,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9977999925613403,"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/T12290","display_name":"Human Motion and Animation","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stylus","display_name":"Stylus","score":0.9922974109649658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6964651942253113},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5690263509750366},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45957183837890625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39983272552490234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3874119222164154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18843361735343933},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16926312446594238}],"concepts":[{"id":"https://openalex.org/C164086593","wikidata":"https://www.wikidata.org/wiki/Q1227035","display_name":"Stylus","level":2,"score":0.9922974109649658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6964651942253113},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5690263509750366},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45957183837890625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39983272552490234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3874119222164154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18843361735343933},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16926312446594238},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1040830.1040867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1040830.1040867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Intelligent user interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.9487","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pokristensson.com/pubs/KristenssonZhaiIUI2005.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.67.683","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.almaden.ibm.com/cs/people/zhai/papers/KristenssonZhaiIUI2005.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:748911","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/748911/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W1571144263","https://openalex.org/W1651701101","https://openalex.org/W1977233339","https://openalex.org/W1995875735","https://openalex.org/W2012241589","https://openalex.org/W2015435210","https://openalex.org/W2047819184","https://openalex.org/W2050037476","https://openalex.org/W2050188448","https://openalex.org/W2052570369","https://openalex.org/W2066467781","https://openalex.org/W2088733095","https://openalex.org/W2111643688","https://openalex.org/W2121178211","https://openalex.org/W2124818189","https://openalex.org/W2125005544","https://openalex.org/W2125904902","https://openalex.org/W2133495565","https://openalex.org/W2144268630","https://openalex.org/W2155707341","https://openalex.org/W2157707301","https://openalex.org/W2171622337","https://openalex.org/W2797816625","https://openalex.org/W4205687621","https://openalex.org/W6630096803","https://openalex.org/W6663099654"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"Fitts'":[0,17,71],"law":[1,18,72],"models":[2],"the":[3,16,25,28,70,92,114,127,142,146,152,160],"inherent":[4],"speed-accuracy":[5],"trade-off":[6],"constraint":[7,73],"in":[8,32,74,79,122],"stylus":[9,26,75,97,134],"typing.":[10],"Users":[11],"attempting":[12],"to":[13,23,46,65,68,159],"go":[14],"beyond":[15],"speed":[19],"ceiling":[20],"will":[21],"tend":[22],"land":[24],"outside":[27],"targeted":[29],"key,":[30],"resulting":[31,78],"erroneous":[33],"words":[34,121,139],"and":[35,129],"increasing":[36],"users'":[37],"frustration.":[38],"We":[39,90,125],"propose":[40],"a":[41,63,96,100,123],"geometric":[42,103],"pattern":[43,106,155],"matching":[44],"technique":[45],"overcome":[47],"this":[48],"problem.":[49],"Our":[50],"solution":[51],"can":[52,107],"be":[53,108],"used":[54],"either":[55],"as":[56,62,99,149,151],"an":[57,132],"enhanced":[58],"spell":[59],"checker":[60],"or":[61],"way":[64],"enable":[66],"users":[67],"escape":[69],"typing,":[76],"potentially":[77],"higher":[80],"text":[81],"entry":[82],"speeds":[83],"than":[84],"what":[85],"is":[86,156],"currently":[87],"theoretically":[88],"modeled.":[89],"view":[91],"hit":[93],"points":[94],"on":[95],"keyboard":[98,135],"high":[101],"resolution":[102],"pattern.":[104],"This":[105],"matched":[109],"against":[110],"patterns":[111],"formed":[112],"by":[113],"letter":[115],"key":[116],"center":[117],"positions":[118],"of":[119,131,137],"legitimate":[120],"lexicon.":[124],"present":[126],"development":[128],"evaluation":[130],"\"elastic\"":[133],"capable":[136],"correcting":[138],"even":[140],"if":[141],"user":[143],"misses":[144],"all":[145],"intended":[147,161],"keys,":[148],"long":[150],"user's":[153],"tapping":[154],"close":[157],"enough":[158],"word.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}