Someone is fidgeting in a long line at an airport security gate. Can data science tell us why? Is that person simply nervous about the wait?<\/p>\n
Or is this a passenger who has something sinister to hide?<\/p>\n
Even highly trained Transportation Security Administration (TSA) airport security officers still have a hard time telling whether someone is lying or telling the truth \u2013 despite the billions of dollars and years of study that have been devoted to the subject.<\/p>\n
Now, Ä¢¹½´«Ã½ researchers are using data science and an online crowdsourcing framework called ADDR (Automated Dyadic Data Recorder) to further our understanding of deception based on facial and verbal cues.<\/p>\n
They also hope to minimize instances of racial and ethnic profiling that TSA critics contend occurs when passengers are pulled aside under the agency\u2019s Screening of Passengers by Observation Techniques (SPOT) program.<\/p>\n
\u201cBasically, our system is like Skype on steroids,\u201d says Tay Sen, a PhD student in the lab of Ehsan Hoque<\/a>, an assistant professor of computer science<\/a>. Sen collaborated closely with Kamrul Hasan, another PhD student in the group, on two papers in IEEE Automated Face and Gesture Recognition<\/a> and the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies<\/a>. The papers describe the framework the lab has used to create the largest publicly available deception dataset so far \u2013 and why some smiles are more deceitful than others.<\/p>\nGame and data science reveal the truth behind a smile<\/strong><\/h3>\n