{"id":"https://openalex.org/W4406858692","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849091","title":"A method for classification NEO\u2013FFI answers fabricated and advantageous due to psychological bias using brainwave specific brain activity networks","display_name":"A method for classification NEO\u2013FFI answers fabricated and advantageous due to psychological bias using brainwave specific brain activity networks","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406858692","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849091"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10849091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5116046355","display_name":"Yuto Ashikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Ashikawa","raw_affiliation_strings":["University of Aoyama Gakuin,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aoyama Gakuin,Kanagawa,Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082340729","display_name":"Takashi Ito","orcid":"https://orcid.org/0000-0002-4148-4086"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Ito","raw_affiliation_strings":["University of Aoyama Gakuin,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aoyama Gakuin,Kanagawa,Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036862566","display_name":"Shohei Ishizu","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Ishizu","raw_affiliation_strings":["University of Aoyama Gakuin,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aoyama Gakuin,Kanagawa,Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090187549","display_name":"Yosuke Kurihara","orcid":"https://orcid.org/0000-0003-4592-0807"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Kurihara","raw_affiliation_strings":["University of Aoyama Gakuin,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aoyama Gakuin,Kanagawa,Japan","institution_ids":["https://openalex.org/I131231118"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3026,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61433964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8687999844551086,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8687999844551086,"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/T10320","display_name":"Neural Networks and Applications","score":0.7926999926567078,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.5767766237258911},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.4254641830921173},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.40300917625427246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3657497763633728},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35476917028427124},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2347361147403717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767766237258911},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.4254641830921173},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.40300917625427246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3657497763633728},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35476917028427124},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2347361147403717}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc63619.2025.10849091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1969528066","https://openalex.org/W2003877293","https://openalex.org/W2019212976","https://openalex.org/W2070372221","https://openalex.org/W2114837027","https://openalex.org/W2955132851","https://openalex.org/W3137963261","https://openalex.org/W3211930597","https://openalex.org/W4238440415","https://openalex.org/W4306950850","https://openalex.org/W4367460565","https://openalex.org/W4391728612","https://openalex.org/W6713870377"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2466887110","https://openalex.org/W2068485906","https://openalex.org/W2314032432","https://openalex.org/W4312548550","https://openalex.org/W2335893660"],"abstract_inverted_index":{"The":[0],"Neuroticism":[1],"Extraversion":[2],"Openness\u2013Five":[3],"Factor":[4],"Inventory(NEO\u2013FFI)":[5],"is":[6,20],"a":[7,30],"psychological":[8],"scale":[9],"that":[10,138],"assesses":[11],"personality":[12,103,152],"through":[13],"five":[14],"factors.":[15],"Although":[16],"widely":[17],"used,":[18],"it":[19],"susceptible":[21],"to":[22,32,73,90],"biases,":[23],"which":[24],"reduces":[25],"reliability.":[26],"This":[27,136],"study":[28],"proposes":[29],"method":[31,141],"classify":[33,91],"biased":[34,94,144],"answers":[35,92,145],"using":[36],"brainwave":[37],"measured":[38,55],"while":[39],"answering":[40],"NEO\u2013FFI":[41,151],"questions.":[42],"Brainwave":[43],"networks":[44],"are":[45,71,87],"constructed":[46],"from":[47],"alpha,":[48],"beta,":[49],"delta,":[50],"theta,":[51],"and":[52,63,69,79,131,146],"gamma":[53],"waves":[54],"at":[56],"eight":[57],"brain":[58],"regions":[59],"(frontal,":[60],"temporal,":[61],"parietal,":[62],"occipital":[64],"lobes).":[65],"Fast":[66],"Fourier":[67],"transform":[68],"coherence":[70],"applied":[72],"obtain":[74],"feature":[75],"values":[76],"for":[77,101],"nodes":[78],"edges":[80],"of":[81,115,118,123,126,129,134,150],"the":[82,139,148],"network.":[83],"Support":[84],"vector":[85],"machines":[86],"then":[88],"trained":[89],"as":[93],"or":[95],"unbiased":[96],"based":[97],"on":[98],"these":[99],"features":[100],"each":[102],"factor.":[104],"An":[105],"experiment":[106],"with":[107],"23":[108],"participants":[109],"aged":[110],"19\u201323":[111],"reveals":[112],"an":[113],"accuracy":[114],"0.67,":[116],"precision":[117],"0.72,":[119],"negative":[120],"predictive":[121],"value":[122],"0.62,":[124],"recall":[125],"0.71,":[127],"specificity":[128],"0.64,":[130],"F1":[132],"score":[133],"0.70.":[135],"indicates":[137],"proposed":[140],"effectively":[142],"classifies":[143],"improves":[147],"reliability":[149],"assessments.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
