Brain-Computer Interfaces and Virtual Reality
This talk will focus on brain-computer interfaces (BCIs) and virtual reality (VR). The human and computer are both complex machines, capable of sophisticated functions, yet there is a very narrow bandwidth of communication between them. In the first half of this talk, we'll look at a new generation of brain computer interfaces (BCIs) that can increase this communication bandwidth by passively detecting learners'
cognitive state and responding appropriately in real-time. In the second half, we will talk about investigating implicit gender bias using full body synchrony in virtual reality and the implications of this for general implicit biases and empathy.
Beste Filiz Yuksel is an Assistant Professor of Computer Science at the University of San Francisco where she has created a Human-Computer Interaction teaching and research program. Her research is based on brain-computer interfaces (BCIs) and virtual reality (VR). Her work on investigating implicit gender bias using full motor synchrony in VR won an Honourable Mention Award at ACM CHI 2019. Her research on the next generation of BCIs that detect and evaluate real-time brain signals using machine learning classification of functional near infrared spectroscopy (fNIRS) to build adaptable user interfaces for the general population won a Best Paper Award at ACM CHI 2016. She received her Ph.D. in Computer Science from Tufts University, Boston, working with Prof. Robert Jacob. She has also worked with Mary Czerwinski at Microsoft Research, and with product teams at Microsoft, investigating user-virtual agent interactions for the next generation of intelligent personal assistants. She is a staunch supporter of women and minorities in computer science.