Welcome to Collaborative and Creative Human Computer Interaction!
Dr. Wu-Yuin Hwang

For fully utilizing the strengths of Information Technology and breaking through its limitation, it will become more and more important for learning to use two edged swords for improving IT prevalence, but returning to human cognitions and construction by eliminating overdependence on IT. For example, the completely sharing resources and providing multimedia content in the network will bring big probabilities to benefit learning and teaching based on different teaching requirements or learning characteristics, while the existing IT user interface (unnatural) , usually accepted by users, would be possible to limit learners' potentials or good learning behaviors. When learners adapted themselves to existing IT environment like using keyboards and mouse, some attention to create new ideas and learning actions like manipulating real objects or handwriting will be lost, it would be possibly harmful to generate high level of cognition without tangible experience. This is because IT environment usually limit and fix learners in front of computers and make learners used to being familiar with this kind of IT interface, keyboards or mouse. Therefore, we believe future trends for HCI development are for not only enhancing collaboration but also facilitating individual potentials by returning to natural and tangible interface. So far, we have developed some powerful tools for collaboration as well as creativities and also verified their effectiveness on learning like multimedia whiteboards, web-based multimedia annotation and web-based 3D tools, further studies are continuously focused on improving the functionalities and interfaces of the above tools as well as developing new ones. We welcome anyone interested in such kinds of studies to join us and become our team members.

Research Topic
  • Multimedia Human computer interaction for Collaboration and Creativity
  • Ubiquitous Learning
  • Knowledge construction and Management
  • Adaptive Testing (Item Response Theory)
  • Adaptive Learning (Learning Response Dynamic)