Physical-Digital Affordances Group, University of Regensburg
The Physical-Digital Affordances Group at the University of Regensburg explores how the unique affordances of physical and digital media can be combined to enhance knowledge work and workflows (more about our goals).
The group is associated with the Chair of Media Informatics within the Department of Informatics and Data Science. It is led by Dr. Raphael Wimmer.
2020-10-21: VIGITIA meets Degginger - Recap
Review of a great and insightful week at the Degginger Creative Center. (more...)
2020-09-09: VIGITIA meets Degginger
Prototypenausstellung “Interaktive Tische im Alltag” von 14.-19.9.2020 im Degginger, Regensburg (more...)
2020-09-01: DispLagBox at Mensch und Computer 2020
We will present DispLagBox, a precise and easily replicable device for measuring display latency, as a short paper at Mensch und Computer 2020. (more...)
2020-06-04: VIGITIA: Table Survey Started
We started a survey to better understand how people work at tables. (more...)
Application that allows creating screenshots of a computer screen by photographing it with a smartphone.
Measuring and understanding latency of computer systems
An interaction concept for customizable desktop environments and workflows
A Course for Teaching Interactive Hardware Prototyping to Computer Science Students
Absolute position tracking using the raw image of a mouse sensor
We modified a flatbed scanner by adding an infrared LED to its light guide. As the ink of most pens is invisible in the infrared spectrum, this scanner can be used to extract handwritten annotations from printed documents.
Enhancing interaction on tabletops via projected AR.
A dependency graph for learning contents.
Measuring the Latency of Graphics Frameworks on X11-Based Systems (2023-04-23) Andreas Schmid, Raphael Wimmer
Using an Infrared Pen as an Input Device for Projected Augmented Reality Tabletops (2022-09-04) Vitus Maierhöfer, Andreas Schmid, Raphael Wimmer
Determining the Orientation of Low Resolution Images of a De-Bruijn Tracking Pattern with a CNN (2022-08-07) Andreas Schmid, Raphael Wimmer, Stefan Lippl
Extracting Handwritten Annotations from Printed Documents Via Infrared Scanning (2022-04-27) Andreas Schmid, Lorenz Heckelbacher, Raphael Wimmer