Gabriel Haas, M.Sc.
Gabriel joined the HCI-Group of Ulm University in 2014 as a research assistent, since Winterterm 16/17 he is working as a research associate.
He holds a Master of Science in Mediainformatics from University of Ulm and a Bachelor of Science from Ulm University of Applied Science.
Lectures, Projects and Seminars
- Comparison of object detection methods in the context of an origami folding assistant application for AR glasses
- Beyond Noise-Cancellation: Interacting With Auditory Mediated and Augmented Reality
Open Topics for Theses
Some open topics can be found here.
If you are interested in writing a thesis, please send me an email or drop by my office.
We present FaceTouch, a mobile Virtual Reality (VR) headmounted display (HMD) that leverages the backside as a touch-sensitive surface. FaceTouch allows the user to point at and select virtual content inside their field-of-view by touching the corresponding location at the backside of the HMD utilizing their sense of proprioception. This allows for a rich interaction (e.g. gestures) in mobile and nomadic scenarios without having to carry additional accessories (e.g. gamepad). We built a prototype of FaceTouch and present interaction techniques and three example applications that leverage the FaceTouch design space.
Since 360 degree movies are a fairly new medium, creators are facing several challenges such as controlling the attention of a user. In traditional movies this is done by applying cuts and tracking shots which is not possible or advisable in VR since rotating the virtual scene in front of the user’s eyes will lead to simulator sickness. One of the reasons this effect occurs is when the physical movement (measured by the vestibular system) and the visual movement are not coherent.
Glass Unlock is a novel concept using smart glasses for smartphone unlocking, which is theoretically secure against smudge attacks, shoulder-surfing, and camera attacks. By introducing an additional temporary secret like the layout of digits that is only shown on the private near-eye display, attackers cannot make sense of the observed input on the almost empty phone screen.