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In this contribution, we describe the activities and promotion programs installed at the Bonn-Rhein-Sieg University as an institution and at the Department of Computer Science respectively for increasing the total number of computer science students and in particular the female rate. We report about our experiences in addressing gender aspects in education and try to evaluate the outcome of our programs with respect to our equal rights for women strategy. We propose a closer look at mental self-theories enabled by E-portfolios to address also gender issues in Computer Science. Moreover, reasons are identified and discussed which may be responsible for the reduced interest in particular of female young adults to choose a computer science study program.
The perceived distance of self motion induced in a stationary observer by optic flow is overestimated (Redlick et al., Vis Res. 2001 41: 213). Here we assessed how different components of translational optic flow contribute to perceived distance traveled. Subjects sat on a stationary bicycle in front of a virtual reality display that extended beyond 90deg on each side. They monocularly viewed a target presented in a virtual hallway wallpapered with stripes that changed colour to prevent tracking individual stripes. Subjects then looked centrally or 30, 60 or 90° eccentrically while their view was restricted to an ellipse with faded edges (25 x 42deg) centered on their fixation. Subjects judged when they had reached the target’s remembered position. Perceptual gain (perceived/actual distance traveled) was highest when subjects were looking in a direction that depended on the simulated speed of motion. Results were modeled as the sum of separate mechanisms sensitive to radial and laminar optic flow. In our display distances were perceived as compressed. However, there was no correlation between perceptual compression and perceived speed of motion. These results suggest that visually induced self motion in virtual displays can be subject to large but predictable error.
This contribution presents an easy to implement 3D tracking approach that works with a single standard webcam. We describe the algorithm and show that it is well suited for being used as an intuitive interaction method in 3D video games. The algorithm can detect and distinguish multiple objects in real-time and obtain their orientation and position relative to the camera. The trackable objects are equipped with planar patterns of five visual markers. By tracking (stereo) glasses worn by the user and adjusting the in-game camera's viewing frustum accordingly, the well-known immersive "screen as a window" effect can be achieved, even without the use of any special tracking equipment.