{"id":"https://openalex.org/W4308963408","doi":"https://doi.org/10.1145/3567737","title":"The Effectiveness of Path-Segmentation for Modeling Lasso Times in Width-Varying Paths","display_name":"The Effectiveness of Path-Segmentation for Modeling Lasso Times in Width-Varying Paths","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4308963408","doi":"https://doi.org/10.1145/3567737"},"language":"en","primary_location":{"id":"doi:10.1145/3567737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3567737","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"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 Human-Computer Interaction","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/A5058457491","display_name":"Shota Yamanaka","orcid":"https://orcid.org/0000-0001-9807-120X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shota Yamanaka","raw_affiliation_strings":["Yahoo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9807-120X","affiliations":[{"raw_affiliation_string":"Yahoo, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074305558","display_name":"Hiroki Usuba","orcid":"https://orcid.org/0000-0001-7192-7231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroki Usuba","raw_affiliation_strings":["Yahoo, Chiyoda-ku, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7192-7231","affiliations":[{"raw_affiliation_string":"Yahoo, Chiyoda-ku, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085460170","display_name":"Wolfgang Stuerzlinger","orcid":"https://orcid.org/0000-0002-7110-5024"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wolfgang Stuerzlinger","raw_affiliation_strings":["Simon Fraser University, Vancouver, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7110-5024","affiliations":[{"raw_affiliation_string":"Simon Fraser University, Vancouver, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091629034","display_name":"Homei Miyashita","orcid":"https://orcid.org/0000-0001-7533-8709"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Homei Miyashita","raw_affiliation_strings":["Meiji University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7533-8709","affiliations":[{"raw_affiliation_string":"Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4228,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64414325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"6","issue":"ISS","first_page":"640","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","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"}},"topics":[{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","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"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9979000091552734,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7347584366798401},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.732419490814209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661094069480896},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.646468460559845},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.5364921689033508},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.530831515789032},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5095365643501282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42709288001060486},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4175342321395874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4149775803089142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21998831629753113},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11221575736999512},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09471303224563599}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7347584366798401},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.732419490814209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661094069480896},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.646468460559845},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.5364921689033508},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.530831515789032},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5095365643501282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42709288001060486},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4175342321395874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4149775803089142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21998831629753113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11221575736999512},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09471303224563599},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3567737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3567737","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"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 Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1598813349","https://openalex.org/W1885639605","https://openalex.org/W1977140659","https://openalex.org/W1982851084","https://openalex.org/W1993315981","https://openalex.org/W1994034810","https://openalex.org/W2014332669","https://openalex.org/W2017150428","https://openalex.org/W2017606563","https://openalex.org/W2033288247","https://openalex.org/W2034718500","https://openalex.org/W2036028292","https://openalex.org/W2036254707","https://openalex.org/W2048948826","https://openalex.org/W2063632545","https://openalex.org/W2076680033","https://openalex.org/W2078175541","https://openalex.org/W2083675321","https://openalex.org/W2108024581","https://openalex.org/W2124783468","https://openalex.org/W2128906940","https://openalex.org/W2133028617","https://openalex.org/W2142635246","https://openalex.org/W2152270578","https://openalex.org/W2153795273","https://openalex.org/W2165220806","https://openalex.org/W2168443748","https://openalex.org/W2171060574","https://openalex.org/W2247040911","https://openalex.org/W2294071738","https://openalex.org/W2294846656","https://openalex.org/W2397516279","https://openalex.org/W2404075216","https://openalex.org/W2533873527","https://openalex.org/W2591673470","https://openalex.org/W2611199766","https://openalex.org/W2611561499","https://openalex.org/W2611792579","https://openalex.org/W2613234182","https://openalex.org/W2795615178","https://openalex.org/W2940881478","https://openalex.org/W2975521135","https://openalex.org/W2987439231","https://openalex.org/W4210916243","https://openalex.org/W4211177544","https://openalex.org/W4239127880","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Models":[0],"of":[1,37,108],"lassoing":[2],"time":[3],"to":[4,30,43,100],"select":[5],"multiple":[6],"square":[7],"icons":[8],"exist,":[9],"but":[10,93],"realistic":[11],"lasso":[12],"tasks":[13],"also":[14,94],"typically":[15],"involve":[16],"encircling":[17],"non-rectangular":[18],"objects.":[19],"Thus,":[20],"it":[21],"is":[22],"unclear":[23],"if":[24],"we":[25,53],"can":[26],"apply":[27],"existing":[28],"models":[29,78],"such":[31],"conditions":[32],"where,":[33],"e.g.,":[34,114],"the":[35,38,58,76,89,106],"width":[36],"path":[39,63],"that":[40,65,75,95],"users":[41],"want":[42],"steer":[44],"through":[45],"changes":[46],"dynamically":[47],"or":[48,67,70],"step-wise.":[49,71],"In":[50],"this":[51],"work,":[52],"conducted":[54],"two":[55],"experiments":[56],"where":[57],"objects":[59],"were":[60],"non-rectangular,":[61],"with":[62],"widths":[64],"narrowed":[66],"widened,":[68],"smoothly":[69],"The":[72],"results":[73],"showed":[74],"baseline":[77],"for":[79,115],"pen-steering":[80],"movements":[81],"(the":[82],"steering":[83],"and":[84],"crossing":[85],"law":[86],"models)":[87],"fitted":[88],"timing":[90],"data":[91],"well,":[92],"segmenting":[96],"width-changing":[97],"areas":[98],"led":[99],"significant":[101],"improvements.":[102],"Our":[103],"work":[104],"enables":[105],"modeling":[107],"novel":[109],"UIs":[110],"requiring":[111],"continuous":[112],"strokes,":[113],"grouping":[116],"icons.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}