| Home | Research | Interests | Notes | IMS Home |
Mobile computing is naturally complemented by Augmented Reality (AR), which superimposes computer-generated images onto a user's perception of the real world via devices such as see-through or see-around head mounted displays (HMD). As a consequence, a portable 3D information space becomes available to the user. Such systems are often combined with position sensing devices (such as differential GPS) to yield location aware computing, which associates computer-generated images with arbitrary landmarks of the real world.
The focus of my research lies in developing user interfaces and implementing potentially scalable systems for mobile AR. I'm interested how we can build systems that could actually work in a whole building or city and allow interaction with information based on location. Mobility also implies spontaneous collaboration between users on different applications. To support such general scenarios, we need flexible frameworks for distribution of applications.
To build systems that scale with respect to data volume, area and interaction possibilites, we need to come up with software architectures that support scalability. Simple demonstrations of AR interfaces typically use a hardcoded set of data. I want to go beyond that and find solutions that are data driven and flexible to allow maintenance, extensions and changes to the data without the overhead of reengineering the software system.