Abstract: In this talk, I discuss computational approaches to develop and analyze intelligent assistive technologies for the population with special needs. Despite the growing interest in long-term, high-quality rehabilitation and the advent of diverse assistive technologies, the limited contact time between the therapist and the patient is still considered one of the significant bottlenecks for recovery of patients. In order to extend the service of therapists to patients and overcome traditional challenges, such as financial and geographical issues, I propose a new data-driven framework. Furthermore, I apply it to situate the physical therapy for post-stroke patients and the speech therapy for children w/ SDL and ASD in residential settings. Through the proposed approach, I envision that patients can receive quality therapy from remotely located therapists using personal robots and computers and that therapists can be more productive.

Biography: Hee-Tae Jung is a PhD candidate at the College of Information and Computer Sciences, University of Massachusetts Amherst, and a member of the Perceptual Robotics Lab. He received his BS in Computer Science from Yonsei University, Korea in 2007 and MS in Computer Science from Stanford University, USA in 2009. His research focus is on developing and analyzing intelligent assistive technologies for the population with special needs. Hee-Tae's research has been recognized by the Robin Popplestone Scholarship and the Graduate School Dissertation Research Grant. Hee-Tae was selected as an ACM/IEEE Human-Robot Interaction (HRI) Pioneer in 2015 and am an elected PC Co-Chair for the ACM/IEEE HRI Pioneers Workshop 2016.  Hee-Tae served as an editorial assistant for the Journal of Robotics and Autonomous Systems from 2013 through 2014. 

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