{"id":"https://openalex.org/W4390483344","doi":"https://doi.org/10.1109/ssci52147.2023.10372068","title":"Integration of Structural Equation Models and Bayesian Networks for Cognitive Load Modeling","display_name":"Integration of Structural Equation Models and Bayesian Networks for Cognitive Load Modeling","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390483344","doi":"https://doi.org/10.1109/ssci52147.2023.10372068"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10372068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10372068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5087273047","display_name":"O. A. Shaposhnyk","orcid":"https://orcid.org/0000-0002-0257-381X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Olha Shaposhnyk","raw_affiliation_strings":["Schulich School of Engineering, University of Calgary,Biometric Technologies Laboratory,Canada","Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schulich School of Engineering, University of Calgary,Biometric Technologies Laboratory,Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085946799","display_name":"Svetlana Yanushkevich","orcid":"https://orcid.org/0000-0003-4794-9849"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Svetlana Yanushkevich","raw_affiliation_strings":["Schulich School of Engineering, University of Calgary,Biometric Technologies Laboratory,Canada","Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schulich School of Engineering, University of Calgary,Biometric Technologies Laboratory,Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":3.4986,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92714454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1650","last_page":"1655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.718013346195221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6102368831634521},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5809641480445862},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.5714819431304932},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5260396003723145},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5131946206092834},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49431848526000977},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"Cognitive load","score":0.4871332347393036},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4836753308773041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4724597930908203},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4681459069252014},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4601898789405823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45086202025413513},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.442434161901474},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.25819170475006104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2508174479007721},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1257893145084381},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11212706565856934}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.718013346195221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6102368831634521},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5809641480445862},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.5714819431304932},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5260396003723145},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5131946206092834},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49431848526000977},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.4871332347393036},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4836753308773041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4724597930908203},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4681459069252014},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4601898789405823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45086202025413513},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.442434161901474},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25819170475006104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2508174479007721},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1257893145084381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11212706565856934},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci52147.2023.10372068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10372068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2004492788","https://openalex.org/W2076507733","https://openalex.org/W2099003584","https://openalex.org/W2103482302","https://openalex.org/W2103989293","https://openalex.org/W2113169714","https://openalex.org/W2119200560","https://openalex.org/W2342146458","https://openalex.org/W2894771803","https://openalex.org/W2923031191","https://openalex.org/W2946338602","https://openalex.org/W3033146535","https://openalex.org/W3128352929","https://openalex.org/W4210522205","https://openalex.org/W4223889439","https://openalex.org/W4298191365","https://openalex.org/W4309027731","https://openalex.org/W4309646531","https://openalex.org/W4353046620","https://openalex.org/W4379382344","https://openalex.org/W4383313220","https://openalex.org/W4385444339","https://openalex.org/W4391977168"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W2188106786","https://openalex.org/W1554198325"],"abstract_inverted_index":{"This":[0],"study":[1],"offers":[2],"a":[3,27,112],"causal":[4,96],"probabilistic":[5],"modeling":[6],"for":[7,67,116],"inferring":[8],"the":[9,15,44,58,62,69,82,86,95,100],"relationship":[10,97],"between":[11,35],"humans'":[12],"cognitive":[13,65],"load,":[14,21,66],"physiological":[16],"signal":[17],"predictors":[18,59],"of":[19,29,64,85,122],"such":[20,30,77,126],"and":[22,41,98,129],"personality":[23,83],"traits.":[24],"We":[25],"selected":[26],"subset":[28],"signals":[31],"(heart":[32],"rate,":[33],"intervals":[34],"successive":[36],"heartbeats,":[37],"galvanic":[38],"skin":[39],"response,":[40],"temperature)":[42],"from":[43],"CogLoad":[45],"dataset":[46],"using":[47,74],"wearable":[48],"devices.":[49],"Structural":[50],"Equation":[51],"Modeling":[52],"techniques":[53],"were":[54,91],"employed":[55],"to":[56,60,93,108,110],"select":[57],"identify":[61],"level":[63],"which":[68],"ground":[70],"truth":[71],"was":[72],"assessed":[73],"subjective":[75],"tests":[76],"as":[78,127],"HEXACO":[79],"that":[80],"determine":[81],"traits":[84],"human":[87],"subjects.":[88],"Bayesian":[89],"networks":[90],"deployed":[92],"investigate":[94],"model":[99,105],"inference":[101],"scenarios.":[102],"The":[103],"proposed":[104],"is":[106],"intended":[107],"contribute":[109],"developing":[111],"Computational":[113],"Intelligence":[114],"tool":[115],"monitoring":[117],"social":[118],"health":[119],"in":[120],"scenarios":[121],"future":[123],"potential":[124],"crises":[125],"pandemics":[128],"mass":[130],"migration,":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
