{"id":"https://openalex.org/W2899011778","doi":"https://doi.org/10.1145/3267305.3267700","title":"Estimating Smartphone Addiction Proneness Scale through the State of Use of Terminal and Applications","display_name":"Estimating Smartphone Addiction Proneness Scale through the State of Use of Terminal and Applications","publication_year":2018,"publication_date":"2018-10-08","ids":{"openalex":"https://openalex.org/W2899011778","doi":"https://doi.org/10.1145/3267305.3267700","mag":"2899011778"},"language":"en","primary_location":{"id":"doi:10.1145/3267305.3267700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267305.3267700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089434938","display_name":"Satoru Minagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru Minagawa","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Naka-cho, Koganei, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Naka-cho, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017820390","display_name":"Kaori Fujinami","orcid":"https://orcid.org/0000-0002-5294-2812"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaori Fujinami","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Naka-cho, Koganei, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Naka-cho, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92614990"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"726","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9782000184059143,"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/smartphone-addiction","display_name":"Smartphone addiction","score":0.7653384208679199},{"id":"https://openalex.org/keywords/addiction","display_name":"Addiction","score":0.7008370161056519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6702865362167358},{"id":"https://openalex.org/keywords/terminal","display_name":"Terminal (telecommunication)","score":0.6025139093399048},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5897071361541748},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5093270540237427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39694905281066895},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3639894723892212},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17932778596878052},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1181512176990509}],"concepts":[{"id":"https://openalex.org/C3018459673","wikidata":"https://www.wikidata.org/wiki/Q7544146","display_name":"Smartphone addiction","level":3,"score":0.7653384208679199},{"id":"https://openalex.org/C48856860","wikidata":"https://www.wikidata.org/wiki/Q12029","display_name":"Addiction","level":2,"score":0.7008370161056519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6702865362167358},{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.6025139093399048},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5897071361541748},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5093270540237427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39694905281066895},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3639894723892212},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17932778596878052},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1181512176990509},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3267305.3267700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267305.3267700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7300000190734863,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W2020911435","https://openalex.org/W2062816106","https://openalex.org/W2084863892","https://openalex.org/W2109050268","https://openalex.org/W2134699024","https://openalex.org/W2888181683"],"related_works":["https://openalex.org/W2605339572","https://openalex.org/W3211557223","https://openalex.org/W1528816634","https://openalex.org/W2007036916","https://openalex.org/W4206528302","https://openalex.org/W872563264","https://openalex.org/W2164087676","https://openalex.org/W4240867999","https://openalex.org/W2416728927","https://openalex.org/W2807563834"],"abstract_inverted_index":{"Overuse":[0],"of":[1,26,33,92,101,120],"smartphone":[2,103],"applications":[3,27],"causes":[4],"addiction":[5,34,40],"to":[6,29,35,55],"smartphone,":[7],"which":[8,59],"affects":[9],"the":[10,24,31,53,97,102,108,117,128,132],"user's":[11],"physical":[12],"and":[13,22,75,131],"mental":[14],"health.":[15],"Interventions":[16],"such":[17],"as":[18,122],"providing":[19],"persuasive":[20],"messages":[21],"controlling":[23],"use":[25,100,121],"need":[28],"assess":[30],"level":[32],"smartphone.":[36],"To":[37,81],"measure":[38],"this":[39],"level,":[41],"Smartphone":[42],"Addiction":[43],"Proneness":[44],"scale":[45],"(SAPS)":[46],"has":[47],"been":[48],"proposed.":[49],"However,":[50],"it":[51,61,65],"requires":[52],"user":[54,69],"answer":[56],"15":[57],"questions,":[58],"makes":[60],"burdensome,":[62],"unreliable":[63],"(because":[64],"is":[66],"based":[67,95],"on":[68,96],"response":[70],"rather":[71],"than":[72],"their":[73],"behavior),":[74],"slow":[76],"(the":[77],"estimation":[78],"takes":[79,116],"time).":[80],"overcome":[82],"these":[83],"limitations,":[84],"we":[85],"propose":[86],"a":[87,112],"technique":[88,106],"for":[89],"automatic":[90],"recognition":[91],"SAPS":[93,109],"score":[94,110],"actual":[98],"daily":[99],"device.":[104],"Our":[105],"estimates":[107],"using":[111],"regression":[113,133],"model":[114],"that":[115],"smartphone's":[118],"states":[119],"explanatory":[123],"variables":[124],"(features).":[125],"We":[126],"describe":[127],"effective":[129],"features":[130],"model.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}