Thursday, 19th September 2013, 11:00 am (PDCC Meeting Room)
Speaker: Dr Inseok Hwang (KAIST, Korea)
Title: Collaborative In-situ Interaction Monitoring Opportunities to Reinforce Everyday Clinical Training for Those with Language Delay
Recent advances in mobile social computing have been enabling fine-grained awareness on our everyday social life in real world and our interaction within. In this talk, I present newly explored opportunities for mobile social-interaction monitoring to contribute to everyday clinical care for those with language delay. Language delay is a developmental problem of children who do not acquire language as expected for their chronological ages. Without timely intervention, language delay can act as a lifelong risk factor, which includes a learning disorder, a social skill deficit, and a low socioeconomic status. Speech-language pathologists have highlighted that effective parent participation in everyday parent-child conversation is important to treat children’s language delay. For effective roles, however, parents need to alter their own lifelong-established conversation habits, requiring extensive period of conscious effort and staying alert. In this talk, I will present new opportunities for mobile and social computing to reinforce everyday parent-child conversation with therapeutic implications for children with language delays. Specifically, I propose TalkBetter, a mobile in-situ intervention service to help parents in daily parent-child conversations through real-time meta-linguistic analysis of ongoing conversations. The design of TalkBetter is firmly grounded on extensive collaboration with speech-language pathologists. I will introduce the design process and initial evaluation of TalkBetter, and discuss further opportunities regarding language-related disorders.
Inseok Hwang is currently a postdoctoral research associate in KAIST, Korea. His major research focus is "socio-physical computing", exploring future mobile/pervasive computing opportunities to enrich our everyday social life in the very physical world. Pursuing his research vision, he has designed and deployed a number of multi-personal sensing systems for various domains, e.g., clinical, educational, and entertainment domains, as well as developed novel mobile sensing platforms for socially interacting users. It has been an integral part of his research to work with various domain experts and pave brand-new roads connecting different domains with computational foundations. He received his Ph.D. in Computer Science from KAIST under the advisement of Dr. Junehwa Song, and B.S. / M.S. in Electrical Engineering from KAIST. More details about him can be found from his web site, http://www.inseokhwang.com