MIT Media Lab, E14-633
Carefully designed feedback on automatically sensed human behavior has been effective in improving important social and cognitive skills. Automated systems have demonstrated the ability to improve people's skills in areas including interviewing for jobs, public speaking, negotiating, producing vowels for music training, helping elderly people and individuals with Asperger’s syndrome overcome social difficulties, and even speed dating. In this talk, M. Ehsan Hoque will offer insights from our early explorations of the following questions: How are humans able to improve important social and cognitive skills with a computer? What aspect of the feedback helps the most?
M. Ehsan Hoque is an assistant professor of computer science at the University of Rochester, where he leads the Rochester Human-Computer Interaction, or ROC HCI, Group. His group’s research focuses on understanding and modeling unwritten rules of human communication with applications in mental health, business communication, and assessment technologies. Ehsan received his Ph.D. from the MIT Media Lab in 2013. Ehsan and his group’s work has received a Best Paper Award at Ubiquitous Computing (UbiComp 2013), Best Paper Honorable Mentions in Automated Face and Gesture Recognition (FG 2011) and Intelligent Virtual Agents (IVA 2006), the MIT Technology Review TR35 Award in 2016, and the Google Faculty Research Award (2014, 2015). Follow the group’s work on Twitter at @rochci.