{"id":"https://openalex.org/W2145925009","doi":"https://doi.org/10.1145/2470654.2466145","title":"The challenges and potential of end-user gesture customization","display_name":"The challenges and potential of end-user gesture customization","publication_year":2013,"publication_date":"2013-04-27","ids":{"openalex":"https://openalex.org/W2145925009","doi":"https://doi.org/10.1145/2470654.2466145","mag":"2145925009"},"language":"en","primary_location":{"id":"doi:10.1145/2470654.2466145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2470654.2466145","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058167732","display_name":"Uran Oh","orcid":"https://orcid.org/0000-0002-7832-6313"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Uran Oh","raw_affiliation_strings":["University of Maryland, College Park, Maryland, USA","University of Maryland, College Park, Maryland, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, Maryland, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Maryland, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031744461","display_name":"Leah Findlater","orcid":"https://orcid.org/0000-0002-5619-4452"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leah Findlater","raw_affiliation_strings":["University of Maryland, College Park, Maryland, USA","University of Maryland, College Park, Maryland, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, Maryland, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Maryland, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058167732"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":8.2643,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97822706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1129","last_page":"1138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9997000098228455,"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":0.9997000098228455,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983999729156494,"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/gesture","display_name":"Gesture","score":0.9753239750862122},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7191442251205444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106267213821411},{"id":"https://openalex.org/keywords/touchscreen","display_name":"Touchscreen","score":0.6511718034744263},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6227176785469055},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5953484773635864},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5451126098632812},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4642214775085449},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3907400965690613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3217211365699768},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12250679731369019}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9753239750862122},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7191442251205444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106267213821411},{"id":"https://openalex.org/C2778539339","wikidata":"https://www.wikidata.org/wiki/Q165970","display_name":"Touchscreen","level":2,"score":0.6511718034744263},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6227176785469055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5953484773635864},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5451126098632812},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4642214775085449},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3907400965690613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3217211365699768},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12250679731369019},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2470654.2466145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2470654.2466145","pdf_url":null,"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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.360.377","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://terpconnect.umd.edu/~leahkf/pubs/CHI2013-oh-CustomizedGestures.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W45067439","https://openalex.org/W119458596","https://openalex.org/W1555884863","https://openalex.org/W1965863284","https://openalex.org/W1971117094","https://openalex.org/W1983506867","https://openalex.org/W1993302775","https://openalex.org/W1993627792","https://openalex.org/W1999043044","https://openalex.org/W2011422734","https://openalex.org/W2016424919","https://openalex.org/W2019036574","https://openalex.org/W2035487231","https://openalex.org/W2045019452","https://openalex.org/W2055532432","https://openalex.org/W2059216172","https://openalex.org/W2061413511","https://openalex.org/W2064460790","https://openalex.org/W2064625566","https://openalex.org/W2068753989","https://openalex.org/W2069969516","https://openalex.org/W2097248932","https://openalex.org/W2100697272","https://openalex.org/W2102911672","https://openalex.org/W2109297795","https://openalex.org/W2113798388","https://openalex.org/W2121044470","https://openalex.org/W2126803794","https://openalex.org/W2136691781","https://openalex.org/W2146532796","https://openalex.org/W2147780311","https://openalex.org/W2150056139","https://openalex.org/W2153360297","https://openalex.org/W2157771033","https://openalex.org/W2158892938","https://openalex.org/W2161304134","https://openalex.org/W2162425553","https://openalex.org/W2163096731","https://openalex.org/W2168162036","https://openalex.org/W2171264341","https://openalex.org/W2189300278","https://openalex.org/W2285837002","https://openalex.org/W4249750499","https://openalex.org/W4255601674","https://openalex.org/W6666666878"],"related_works":["https://openalex.org/W2013361793","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"The":[0],"vast":[1],"majority":[2],"of":[3,83,122,146,161,174],"work":[4],"on":[5,15,103,155,158],"understanding":[6],"and":[7,32,115,163],"supporting":[8],"the":[9,44,81,104,108,120,147,159,164,172],"gesture":[10,20,46,86,109,139,150,181],"creation":[11,47],"process":[12],"has":[13,38],"focused":[14],"professional":[16],"designers.":[17],"In":[18],"contrast,":[19],"customization":[21,165],"by":[22],"end":[23],"users'":[24],"-":[25,37],"which":[26],"may":[27],"offer":[28],"better":[29],"memorability,":[30],"efficiency":[31],"accessibility":[33],"than":[34],"pre-defined":[35],"gestures":[36,63,73,123],"received":[39],"little":[40],"attention.":[41],"To":[42],"understand":[43],"end-user":[45],"process,":[48],"we":[49,135],"conducted":[50],"a":[51,129,137,175],"study":[52],"where":[53],"20":[54],"participants":[55,99,125],"were":[56,112],"asked":[57,94],"to:":[58],"(1)":[59],"exhaustively":[60,70],"create":[61,71,96],"new":[62,72],"for":[64,74,132,171],"an":[65],"open-ended":[66],"use":[67,77],"case;":[68],"(2)":[69],"12":[75],"specific":[76],"cases;":[78],"(3)":[79],"judge":[80],"saliency":[82],"different":[84],"touchscreen":[85],"features.":[87],"Our":[88],"findings":[89],"showed":[90],"that":[91,124],"even":[92],"when":[93],"to":[95,101,142,178],"novel":[97],"gestures,":[98],"tended":[100],"focus":[102],"familiar.":[105],"Misconceptions":[106],"about":[107],"recognizer's":[110],"abilities":[111],"also":[113],"evident,":[114],"in":[116],"some":[117],"cases":[118],"constrained":[119],"range":[121],"created.":[126],"Finally,":[127],"as":[128],"calibration":[130],"point":[131],"future":[133],"research,":[134],"used":[136],"simple":[138],"recognizer":[140],"($N)":[141],"analyze":[143],"recognition":[144],"accuracy":[145,152],"participants'":[148],"custom":[149,180],"sets:":[151],"was":[153],"68-88%":[154],"average,":[156],"depending":[157],"amount":[160],"training":[162],"scenario.":[166],"We":[167],"conclude":[168],"with":[169],"implications":[170],"design":[173],"mixed-initiative":[176],"approach":[177],"support":[179],"creation.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}