{"id":"https://openalex.org/W7134826922","doi":"https://doi.org/10.1109/access.2026.3672037","title":"TB5I: A Multimodal Turkish Interview Dataset and AI-Based Big Five Personality Trait Prediction","display_name":"TB5I: A Multimodal Turkish Interview Dataset and AI-Based Big Five Personality Trait Prediction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7134826922","doi":"https://doi.org/10.1109/access.2026.3672037"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3672037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3672037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3672037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128683967","display_name":"B\u00fc\u015fra Sarikaya","orcid":null},"institutions":[{"id":"https://openalex.org/I2800093571","display_name":"TD Bank","ror":"https://ror.org/01pf6nd13","country_code":"US","type":"other","lineage":["https://openalex.org/I2800093571"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B\u00fc\u015fra Sarikaya","raw_affiliation_strings":["Türkiye Finans Participation Bank, İstanbul, Türkiye"],"raw_orcid":"https://orcid.org/0000-0001-5077-7019","affiliations":[{"raw_affiliation_string":"Türkiye Finans Participation Bank, İstanbul, Türkiye","institution_ids":["https://openalex.org/I2800093571"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ayhan K\u00fc\u00e7\u00fckman\u0131sa","orcid":"https://orcid.org/0000-0002-1886-1250"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ayhan K\u00fc\u00e7\u00fckman\u0131sa","raw_affiliation_strings":["Electronics and Telecommunications Department, Kocaeli University, Kocaeli, Türkiye"],"raw_orcid":"https://orcid.org/0000-0002-1886-1250","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Department, Kocaeli University, Kocaeli, Türkiye","institution_ids":["https://openalex.org/I51826884"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24983447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"38038","last_page":"38056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.8479999899864197,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T11040","display_name":"Personality Traits and Psychology","score":0.8479999899864197,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T12488","display_name":"Mental Health via Writing","score":0.05999999865889549,"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/T11093","display_name":"Personality Disorders and Psychopathology","score":0.020800000056624413,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/personality","display_name":"Personality","score":0.6873000264167786},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.6542999744415283},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.5920000076293945},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.5220999717712402},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5175999999046326},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5153999924659729},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42570000886917114},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41690000891685486}],"concepts":[{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.6873000264167786},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.6542999744415283},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.5920000076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702999830245972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5619999766349792},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43149998784065247},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37869998812675476},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3672037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3672037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:01b3c36d3b6f406ea3effd5364936ab4","is_oa":true,"landing_page_url":"https://doaj.org/article/01b3c36d3b6f406ea3effd5364936ab4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 38038-38056 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3672037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3672037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Personality":[0],"detection":[1],"has":[2,28],"gained":[3],"increasing":[4],"attention":[5],"in":[6,104],"recent":[7],"years":[8],"due":[9],"to":[10],"its":[11],"potential":[12],"impact":[13],"on":[14,74],"fields":[15],"such":[16,154],"as":[17,128,130,137,155,180],"psychology,":[18],"human\u2013computer":[19],"interaction,":[20],"recruitment,":[21],"and":[22,55,64,78,95,98,107,144],"personalized":[23],"services.":[24],"However,":[25],"research":[26],"progress":[27],"been":[29],"limited":[30],"by":[31,120],"the":[32,44,80,158],"lack":[33],"of":[34,83],"high-quality":[35],"datasets.":[36],"To":[37],"address":[38],"this":[39,70],"gap,":[40],"we":[41,72],"introduce":[42],"TB5I,":[43],"first":[45],"multimodal":[46],"Turkish":[47,175],"Big-Five":[48],"interview":[49,176],"dataset,":[50],"comprising":[51],"synchronized":[52],"video,":[53],"audio,":[54],"text":[56],"recordings":[57],"annotated":[58],"with":[59,66],"Big":[60],"Five":[61],"personality":[62,76,172,186],"scores":[63],"enriched":[65],"socio-demographic":[67],"attributes.":[68],"In":[69],"study,":[71],"focus":[73],"text-based":[75,162],"prediction":[77,168],"evaluate":[79],"predictive":[81],"capability":[82],"TB5I":[84,179],"using":[85],"five":[86],"traditional":[87,118],"regression":[88,101,163],"models":[89,115,153,164],"(Random":[90],"Forest,":[91],"Lasso,":[92],"Ridge,":[93],"ElasticNet,":[94],"Decision":[96],"Tree)":[97],"a":[99,181],"BERT-based":[100,114],"architecture":[102],"trained":[103],"both":[105],"multi-trait":[106],"single-trait":[108],"configurations.":[109],"The":[110],"results":[111],"demonstrate":[112],"that":[113,147,161],"consistently":[116],"outperform":[117],"approaches":[119],"effectively":[121],"capturing":[122],"contextual":[123,145],"information,":[124],"achieving":[125],"an":[126],"RMSE":[127],"low":[129,167],"2.67":[131],"when":[132],"minimal":[133],"preprocessing":[134],"is":[135],"applied,":[136],"aggressive":[138],"morphological":[139],"normalization":[140],"may":[141],"remove":[142],"semantic":[143],"cues":[146],"are":[148],"critical":[149],"for":[150,170,184],"transformer-based":[151],"language":[152],"BERT.":[156],"Moreover,":[157],"findings":[159],"show":[160],"can":[165],"achieve":[166],"error":[169],"several":[171],"traits":[173],"from":[174],"transcripts,":[177],"highlighting":[178],"valuable":[182],"resource":[183],"advancing":[185],"computing":[187],"research.":[188]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2026-03-11T00:00:00"}