{"id":"https://openalex.org/W2977709220","doi":"https://doi.org/10.1109/ijcnn.2019.8852202","title":"Exploiting Machine Learning Models to Avoid Texting While Driving","display_name":"Exploiting Machine Learning Models to Avoid Texting While Driving","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977709220","doi":"https://doi.org/10.1109/ijcnn.2019.8852202","mag":"2977709220"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5079360716","display_name":"Renato Hidaka Torres","orcid":"https://orcid.org/0000-0001-7069-945X"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Renato H. Torres","raw_affiliation_strings":["Institute of Exact and Natural Sciences, Federal University of Par\u00e1, Bel\u00e9m, PA, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Exact and Natural Sciences, Federal University of Par\u00e1, Bel\u00e9m, PA, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085033583","display_name":"Orlando Shigueo Ohashi","orcid":null},"institutions":[{"id":"https://openalex.org/I3130823459","display_name":"Universidade Federal Rural da Amaz\u00f4nia","ror":"https://ror.org/02j71c790","country_code":"BR","type":"education","lineage":["https://openalex.org/I3130823459"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Orlando Ohashi","raw_affiliation_strings":["Cyberspace Institute, Federal Rural University of Amaz\u00f4nia, Bel\u00e9m, PA, Brazil"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute, Federal Rural University of Amaz\u00f4nia, Bel\u00e9m, PA, Brazil","institution_ids":["https://openalex.org/I3130823459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070145415","display_name":"Gabriel Garc\u00eda","orcid":"https://orcid.org/0000-0001-9900-886X"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Garcia","raw_affiliation_strings":["Federal University of Ouro Preto, Ouro Preto, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Ouro Preto, Ouro Preto, MG, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021616248","display_name":"Filipe Augusto Santos Rocha","orcid":"https://orcid.org/0000-0003-2167-1973"},"institutions":[{"id":"https://openalex.org/I4210161302","display_name":"Vale Technological Institute","ror":"https://ror.org/05wnasr61","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210161302"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Filipe Rocha","raw_affiliation_strings":["Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil","institution_ids":["https://openalex.org/I4210161302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061834397","display_name":"H\u00e9ctor Azp\u00farua","orcid":"https://orcid.org/0000-0002-4182-2540"},"institutions":[{"id":"https://openalex.org/I4210161302","display_name":"Vale Technological Institute","ror":"https://ror.org/05wnasr61","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210161302"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hector Azpurua","raw_affiliation_strings":["Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil","institution_ids":["https://openalex.org/I4210161302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000558559","display_name":"Gustavo Pessin","orcid":"https://orcid.org/0000-0002-7411-9229"},"institutions":[{"id":"https://openalex.org/I4210161302","display_name":"Vale Technological Institute","ror":"https://ror.org/05wnasr61","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210161302"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Pessin","raw_affiliation_strings":["Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico Vale, Ouro Preto, MG, Brazil","institution_ids":["https://openalex.org/I4210161302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079360716"],"corresponding_institution_ids":["https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":0.2592,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64130979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14056","display_name":"Safety Warnings and Signage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.8483578562736511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577831745147705},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6456607580184937},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6371156573295593},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6314469575881958},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6067326068878174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5894343852996826},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.57712721824646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5545201897621155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190839767456055},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.5072336196899414},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4504944086074829},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44286519289016724},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44005823135375977},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.15254637598991394},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10358104109764099}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.8483578562736511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577831745147705},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6456607580184937},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6371156573295593},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6314469575881958},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6067326068878174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5894343852996826},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.57712721824646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5545201897621155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190839767456055},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.5072336196899414},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4504944086074829},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44286519289016724},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44005823135375977},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.15254637598991394},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10358104109764099},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1524559790","https://openalex.org/W1555686839","https://openalex.org/W1556833666","https://openalex.org/W1608321499","https://openalex.org/W1984485310","https://openalex.org/W2051187670","https://openalex.org/W2090736361","https://openalex.org/W2131036894","https://openalex.org/W2151360354","https://openalex.org/W2183674103","https://openalex.org/W2284188655","https://openalex.org/W2329378951","https://openalex.org/W2332993878","https://openalex.org/W2425456574","https://openalex.org/W2470907253","https://openalex.org/W2486323017","https://openalex.org/W2575061595","https://openalex.org/W2575645436","https://openalex.org/W2600728771","https://openalex.org/W2605751614","https://openalex.org/W2606192207","https://openalex.org/W2735400726","https://openalex.org/W2746261623","https://openalex.org/W2765944838","https://openalex.org/W4206769373"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"Text":[0,17],"while":[1,18,78],"driving":[2,19],"is":[3,8,20],"a":[4,11,117],"worldwide":[5],"phenomenon":[6],"which":[7],"acknowledged":[9],"as":[10],"meaningful":[12],"problem":[13],"for":[14,102],"road":[15],"safety.":[16],"one":[21],"of":[22,27,41,52,59,105,110,125,175],"the":[23,39,44,50,57,103,111,123,126,176,182],"most":[24],"dangerous":[25],"types":[26],"distraction":[28],"because":[29,156],"it":[30,48],"involves":[31],"visual,":[32],"cognitive":[33],"and":[34,93,100,130,140,164,178],"physical":[35],"distraction.":[36],"Due":[37],"to":[38,63,75,136,161],"advancement":[40],"technology,":[42],"in":[43],"same":[45],"way":[46],"that":[47,61,181],"increases":[49,56],"possibilities":[51],"drivers'":[53],"distractions,":[54],"also":[55,144,170],"number":[58],"proposals":[60],"aim":[62],"avoid":[64],"this":[65,68,106,149],"behavior.":[66],"In":[67,148,167],"context,":[69],"we":[70,169],"propose":[71],"an":[72,173],"intelligent":[73],"system":[74],"identify":[76],"text":[77],"driving.":[79],"We":[80,96],"deploy":[81],"four":[82],"machine":[83],"learning":[84],"models:":[85],"Decision":[86],"Tree;":[87],"Support":[88],"Vector":[89],"Machine;":[90],"Random":[91,128],"Forest":[92,129],"Gradient":[94,131],"Boosting.":[95],"compare":[97],"their":[98],"performances":[99],"significance":[101],"domain":[104],"work.":[107],"The":[108],"evaluation":[109],"models":[112],"were":[113],"carried":[114,171],"out":[115,172],"with":[116],"real":[118],"word":[119],"collected":[120],"dataset.":[121],"Regarding":[122],"accuracy":[124],"models,":[127],"Boosting":[132],"presented":[133,145],"performance":[134],"superior":[135],"0.93.":[137],"Recall":[138],"(\u22480.94)":[139],"Precision":[141],"(\u2248":[142],"0.94)":[143],"good":[146],"results.":[147],"work,":[150],"these":[151],"two":[152],"metrics":[153],"are":[154,158],"highlighted":[155],"they":[157],"related,":[159],"respectively,":[160],"driver's":[162],"safety":[163],"passenger's":[165],"convenience.":[166],"addition,":[168],"analysis":[174],"social":[177],"economic":[179],"impacts":[180],"proposed":[183],"model":[184],"can":[185],"cause.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
