Wireless & Telecommunication

Biography

Dong-Hee Shin, who completed his master and PhD at Syracuse University, is a full Professor of the Department Interaction Science at Sungkyunkwan University. Dr. Shin established the Department of Interaction Science, the first one in Korea as a new model of interdisciplinary study of human, technology, and interaction. Dr. Shin is a Principal Investigator of BK21 Plus Project, a national human resources development project initiated by the Ministry of Education, Korea. Dr. Shin has successfully acquired research funds total amount of over 140 million since 2004. Prior to joining SKKU, Dr. Shin was an assistant professor at the College of Information Sciences and Technology, Penn State University (2004-2009). He has been researching on telecommunications management and policy and he had various consultancy experiences in the field of telecommunications and information industry. In 2011, Dr. Shin has been awarded SKK University Fellow, the highest honor in the university. His work has appeared in leading information science, human computer interaction, communications, telecommunications, and policy journals including Journal of the American Society for Information Sciences and Technology, Telecommunications Policy, Behaviour and Information Technology, Information and Management, Journal of Information Science, Computers in Human Behavior, Telecommunications System, CyberPsychology and Behavior, and New Media & Society. Some of his papers are among the most downloaded, the most popular papers published in the respective journals. For example, his paper (The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22 (5), 428-438) was the most downloaded paper in 2006 Elsevier. He has written 50 articles in SSCI/SCI journals since 2005 and has authored or co-authored more than 60 internationally recognized journals. He has been awarded Outstanding Researcher by Penn State University in 2007.

Abstract

Abstract : Developing a User-based Model of Quality of Experience for the Internet of Things