Asynchronous Video Interview Systems For Behavioral Analytics and Decision Support Committee

Using design science principles, my dissertation develops an asynchronous video interview system for human-behavior analytics. The work investigates design principles required to automatically extract behavioral cues from interview videos captured through a web interface. The system is then evaluated on its ability to provide insight into three separate but interrelated phenomena of interest: employee selection, skill enhancement and fabrication detection during a job interview; skillset evaluation of an interviewee. Although each of these items are related to job interviewing, findings are intended to be generalizable to different domains such as visa application screenings, evaluating a student’s knowledge of a topic, or the evaluation of interpersonal skills in a healthcare setting.