AGENT99 Trainer: Designing a Web-Based Multimedia Training System for Deception Detection Knowledge Transfer

Although detection of malicious deception is important to prevention of possible harm to individuals or organizations, human deception detection accuracy is poor (around 40%-60%) because people lack deception detection knowledge. Therefore it is important to create strategies and tools for making effective transfer of deception detection knowledge readily available to the masses. This paper describes our research efforts to design and implement a Web-based multimedia training system, Agent99 Trainer, to provide effective deception detection knowledge transfer. Agent99 Trainer captures experts’ knowledge on multimedia, presents it to learners through an integrated interface, provides practice opportunities by allowing viewing of real life examples, and gives immediate and elaborate feedback. Furthermore all the components of Agent99 Trainer are integrated together to achieve the best possible performance. Our initial experiment shows that training using Agent99 Trainer improves human deception detection accuracy and that the training is as effective as lecture-based training. In addition, our usability study shows that Agent99 Trainer is easy to use and supports the system design from a subjective perspective.