{"id":"https://openalex.org/W2620968327","doi":"https://doi.org/10.1145/3019612.3019644","title":"Gender-based multimodal deception detection","display_name":"Gender-based multimodal deception detection","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2620968327","doi":"https://doi.org/10.1145/3019612.3019644","mag":"2620968327"},"language":"en","primary_location":{"id":"doi:10.1145/3019612.3019644","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3019612.3019644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Applied Computing","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/A5020093775","display_name":"Mohamed Abouelenien","orcid":"https://orcid.org/0000-0001-5351-5778"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Abouelenien","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007955173","display_name":"Ver\u00f3nica P\u00e9rez\u2010Rosas","orcid":"https://orcid.org/0000-0003-0581-2334"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ver\u00f3nica P\u00e9rez-Rosas","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069525130","display_name":"Bohan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bohan Zhao","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082450455","display_name":"Rada Mihalcea","orcid":"https://orcid.org/0000-0002-0767-6703"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rada Mihalcea","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070726773","display_name":"Mihai Burzo","orcid":"https://orcid.org/0000-0002-3968-7343"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihai Burzo","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020093775"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":2.9309,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90453922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9997000098228455,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.9997000098228455,"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/T10734","display_name":"Information and Cyber Security","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/deception","display_name":"Deception","score":0.9294453859329224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535621285438538},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6498492956161499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5188878178596497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35964345932006836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3372035622596741},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22547423839569092},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1283392310142517},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06783613562583923}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.9294453859329224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535621285438538},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6498492956161499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188878178596497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35964345932006836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3372035622596741},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22547423839569092},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1283392310142517},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06783613562583923},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3019612.3019644","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3019612.3019644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W176729393","https://openalex.org/W1572150657","https://openalex.org/W1906370142","https://openalex.org/W1936564764","https://openalex.org/W1971020201","https://openalex.org/W2019376844","https://openalex.org/W2049380974","https://openalex.org/W2060081153","https://openalex.org/W2062747920","https://openalex.org/W2124637344","https://openalex.org/W2124821580","https://openalex.org/W2143835804","https://openalex.org/W2147306916","https://openalex.org/W2152973845","https://openalex.org/W2158094649","https://openalex.org/W2158218479","https://openalex.org/W2163833659","https://openalex.org/W2251550834","https://openalex.org/W2564068158","https://openalex.org/W2794539022","https://openalex.org/W3121631374","https://openalex.org/W3150894447"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"gender-based":[3],"differences":[4,90],"in":[5,91,97],"multimodal":[6,52,93],"deception":[7,53,96],"detection.":[8],"We":[9,49],"introduce":[10],"a":[11,51],"new":[12],"large,":[13],"gender-balanced":[14],"dataset,":[15],"consisting":[16],"of":[17,32,95],"104":[18],"subjects":[19],"with":[20,73],"520":[21],"different":[22,33,63,67],"responses":[23],"covering":[24],"multiple":[25],"scenarios,":[26],"and":[27,41,56,69,80,99],"perform":[28],"an":[29],"extensive":[30],"analysis":[31],"feature":[34,71],"sets":[35],"extracted":[36],"from":[37,46],"the":[38,47,59,89,92],"linguistic,":[39],"physiological,":[40],"thermal":[42],"data":[43],"streams":[44],"recorded":[45],"subjects.":[48],"describe":[50],"detection":[54,64,94],"system,":[55],"show":[57],"how":[58],"two":[60],"genders":[61],"achieve":[62],"rates":[65],"for":[66],"individual":[68],"combined":[70],"sets,":[72],"accuracy":[74],"figures":[75],"reaching":[76],"80%.":[77],"Our":[78],"experiments":[79],"results":[81],"allow":[82],"us":[83],"to":[84],"make":[85],"interesting":[86],"observations":[87],"concerning":[88],"males":[98],"females.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
