WEDNESDAY, NOV. 8, 2017 • 11:00AM-12:00PM • CAS 408
<< abstract >>
Being able to automatically recognize the affective state of the player can have various benefits in the next-generation computer games. Dr. Kang will present trends of the latest affective computing technologies and introduce various applications and game development cases. He will introduce the latest Emotion recognition research including sentiment analysis with text mining, image-based facial expression recognition, and biosignal analysis. He will also present his recent works including 1) Emotion Tracer Platform and 2) Ensemble Game Engine in detail to explain how affective computing technologies can be used in the next generation of game development.
<< about the speaker >>
Dr. Kang is an Associate Professor at Hongik University in Korea and a Visiting Professor at the Media and Information Department at Michigan State University. Kang received his Ph.D. degree in Computer Science from Korea University in 2011. He was a game programmer at Sony Computer Entertainment Korea from 2003 to 2006. He was a lead game designer at NCSoft from 2006 to 2009, and later joined the School of Games of Hongik University as an Assistance Professor. His research focuses on the affective computing technologies for computer games and their application in the design of interactive contents for next-generation entertainment.