November 9, 2017, This webinar has passed. The recording will be made available On Demand within two US business days.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
A generation that grew up with games that read behavioral cues
and provide haptic feedback is ready for more advanced interfaces –
can you deliver what they want?
We are a long way from systems that “understand” people, but technologies to “recognize” emotions from word usage, voice characteristics, facial expressions, and gestures are here today and improving rapidly. Not far behind are technologies that allow systems to respond expressively with more appropriate tone and content – written and vocal – and relevant facial expressions on avatars and robots driven by brain-inspired models (not to be confused with neural networks).
This webinar will present an overview of emerging technologies and applications for the next generation of Perceptive Input and Expressive Output interfaces. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for enhanced interfaces.
About the Speaker
Founder, Storm Insights
Adrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Binghamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.