Glean practical applications from these incisive papers

Getting ahead of fraudsters often requires staying current with the latest developments in criminal methods, advances in technology as well as academic research. This column offers a diverse sampling of four recent research studies that might benefit your daily efforts to curb fraud, improve detection and contribute the most value to your limited time. The brief review of these research studies extracts some of the most practical aspects of recent academic literature with a link to each paper for you to obtain more details.

“Man vs. Machine: Investigating the adversarial system use on end-user behavior in automated deception detection interviews” (2016) by Jeffrey Proudfoot, Randall Boyle, and Ryan Schuetzler

In basic terms, this study examined the behavioral countermeasures people use when they’re forced to respond to automated detection tests. As technology advances and the means to evaluate deception through sensors and systems improve, these researchers evaluated how people with guilty knowledge adjust their responses to adversarial detection systems.