Deception odetection has been a
f deception detection has been fuelled by the widespread penetration of the Internet and social media in support of personal and
business communications. The identification of behavioral cues to deception is instrumental to the task of deception detection. We
have investigated a variety of cues to deception, including verbal behavior based on message content, linguistic features, and
language style, and nonverbal behavior based on keyboard behavior, communication interaction, brain activity, and so on. In
addition, we have adapted a variety of machine learning techniques to improve the performance of automatic deception detection and
to provide decision support for human deception detection.
Natural Language Processing and Text Mining
Natural language processing and text mining serve as the foundation of my technical approaches to information and knowledge
discovery from free-formed and/or semi-structured text. Information extraction, relationship discovery, ontology learning, error
detection, similarity comparison, discourse analysis, and polarity mining represent some of my research topics in this area.
Social Media Analytics
Online social networks have brought about new opportunities and problems. We have studied such networks from both sides. On
one side, we have investigated the potential of online social networks in improving the efficiency and effectiveness of
information diffusion, and their role in developing social capital in online markets, in building trust relationships, and
in providing online word-of-mouth. On the other side, we have been working on addressing deception, spam, and bullying
behavior in online social networks.
Intelligent Mobile Interface
Existing mobile web typically offeris one-size-fits-all solutions and does not provide users with explicit cues
to help them find information of interest quickly. In addition, users' accessibility needs are rarely considered in the design and development
of mobile web. This project takes the first step toward design, development and evaluation of a transformative user-centered and
personalized approach to browsing, search, and information management in mobile web based on users'
information needs, device characteristics, and accessibility requirements.
Health Information Technology
Home healthcare robots promise to make clinical information available at the right place and time, thereby reducing error and
increasing safety and quality. Previous home healthcare information technology research has focused on technology development and
clinical applications, but much less attention has been paid to the associated social, technical and managerial issues that are
arguably of equal importance for the success of such technology. We investigate the determinants of home healthcare technology adoption.
We have also evaluated our various system design and research prototypes from the technology acceptance perspective. In addition, we have also
conducted research on extracting medical information from clinical notes and social media.