Business and public-sector entities use individual and aggregated data to understand customer/constituent wants and needs. This can range from basic satisfaction survey data to analyzing movement in physical spaces and tracking shopping cart habits online. There is no shortage of data to analyze and use for planning and prediction. The challenge has always been to understand the context that explains behavior in order to deliver a more personalized experience. Traditionally, that has required an expensive “high touch” approach with staff who can “read” and respond to non-verbal cues. Today, some of this context can be captured using sentiment analysis of text but we are rapidly approaching the point where systems will be able to digitally interpret the parts of human communication that have long been elusive: gestures and the emotions they represent in context. This webinar will present an overview of emerging software and sensor technologies that enable perception and personality-trait analysis. In this webinar, participants will learn: Why sentiment analysis from social media streams is just the beginning for hyper-personalized customer engagement, How technologies to detect and classify gestures and emotions will mature from science fiction and the entertainment-industry to become critical requirements for business applications, and How to incrementally deploy advanced human-computer interface (HCI) technologies in your applications