Developing Group Decision Support Systems for Deception Detection

Abstract

Achieving information assurance and security is a complex and challenging task, which is crucial from national and personal security point of views. Research in detecting deceptive communication is geared towards understanding the deception process, proposing theories to model it, and developing tools to automate the detection of hostile intent and deception. However, in complex tasks such as deception detection, involvement of teams of human experts is critical in validating the automated tools and agents, improving them, and also in training other humans in detecting deception accurately. This article presents a Group decision support systems (GDSS) framework for deception detection based on collaborative process patterns, thinkLets. The focus of research is on designing group processes to aid deception detection from various information sources such as text transcripts, video clips, and audio clips. Architecture of a prototype under development based on the proposed framework is outlined.