8:30 – 9:30am in the ICAT Learning Studio, 253 Moss Arts Center
Understanding the Brain in a Social Context – Wearable Technology Framework for Assessment and Real-Time Feedback
Speaker: Denis Gracanin
The recent advances in mixed-reality and mobile technologies for assessment of cognitive and neural processing indicate a tipping point in our ability to go beyond standard experimental settings and study adaptive processes during complex physical, social, and educational interactions in realistic complex environments. Such technologies are exciting because they permit scientists to move beyond artificial experimental settings that have limited ecological validity. Recently, a handful of studies have demonstrated the promise of wearable devices and related technologies in the study of a number of psychological disorders, including specific anxiety disorders and autism spectrum disorder (ASD), as well as typical social development. We have developed the FER (Facial Emotion Recognition) Assistant, a mobile neurotechnology tool that gives real-time feedback to users on accuracy of facial emotion recognition. Our long-term goal is to understand how FER networks can be manipulated for therapeutic and preventative purposes.
Denis Gracanin is an Associate Professor in the Department of Computer Science at Virginia Tech.He received the BS and MS degrees in electrical engineering from the University of Zagreb, Croatia, and the MS and PhD degrees in computer science from the University of Louisiana at Lafayette.His research interests include virtual reality and distributed simulation. He is a senior member of ACM and IEEE and a member of AAAI, APS, ASEE and SIAM.