Intelligent deception detection for online interviews

dc.contributor.advisorDe Silva C
dc.contributor.authorFernando MLM
dc.date.accept2022
dc.date.accessioned2022
dc.date.available2022
dc.date.issued2022
dc.description.abstractWhen it comes to human communication, lying is a common practice. Recently, the detection of lies has become an important focus of judiciary, law enforcement, and security, interviews, etc.[1] Due COVID-19 the pandemic of interviews being conducted online; this is a main problem where a person may give false information specially in the visa applying process. Nonverbal behavior is constantly being transmitted by humans in opposition to spoken language. where visual and auditory cues like facial expressions, postures, gestures, and nonverbal vocal sounds can be used to detect deception intelligently. These human signals are known as deception indicators, and they are primarily associated with deceptive communication. The hiring of unskilled workers can eventually lead to a company's demise if an online interviewer exaggerates or fabricates his or her abilities.en_US
dc.identifier.accnoTH4987en_US
dc.identifier.citationFernando, M.L.M. (2022). Intelligent deception detection for online interviews [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/21634
dc.identifier.degreeMSc In Computer Science and Engineeringen_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/21634
dc.language.isoenen_US
dc.subjectINTELLIGENT DECEPTION DETECTIONen_US
dc.subjectONLINE INTERVIEWSen_US
dc.subjectFACIAL EXPRESSIONSen_US
dc.subjectVOCAL EXPRESSIONSen_US
dc.subjectINFORMATION TECHNOLOGY -Dissertationen_US
dc.subjectCOMPUTER SCIENCE & ENGINEERING -Dissertationen_US
dc.subjectCOMPUTER SCIENCE -Dissertationen_US
dc.titleIntelligent deception detection for online interviewsen_US
dc.typeThesis-Abstracten_US

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