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.
2021-09-16: VIGITIA meets Degginger 2.0
Hands-on research: The pop-up science exhibition “VIGITIA meets Degginger” enters its second round. (more...)
2021-09-09: PDA group at Mensch und Computer 2021
We presented our projects ScreenshotMatcher (Short Paper, Demo) and DotTrack (Demo) at the Mensch und Computer 2021 conference. ScreenshotMatcher was awarded with an honorable mention award! Further information on can be found on the ScreenshotMatcher and DotTrack project page. (more...)
2021-07-08: New results of the ongoing cooperation with Industrial Design Students from OTH Regensburg
The second semester of the VIGITIA projects ongoing collaboration brought forth new exiting ideas for use cases as well as interaction design. (more...)
2021-07-03: Workshop „Methodologies for code in ethnographic research. From theory to practice”
Together with members of the “Code in Ethnography” working group Rebecca Carlson (Toyo University), Ruth Dorothea Eggel (University of Bonn), Lina Franken (University of Vechta) und Libuše Hannah Vepřek (LMU Munich), Sarah Thanner organized a workshop on Methodologies for code in ethnographic research. (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.
TipTrack: Precise, Low-Latency, Robust Optical Pen Tracking on Arbitrary Surfaces Using an IR-Emitting Pen Tip (2024-02-11) Vitus Maierhöfer, Andreas Schmid, Raphael Wimmer
Demonstrating SurfaceCast: Ubiquitous, Cross-Device Surface Sharing (2023-08-05) Florian Echtler, Vitus Maierhöfer, Nicolai Brodersen Hansen, Raphael Wimmer
Measuring the Latency of Graphics Frameworks on X11-Based Systems (2023-04-23) Andreas Schmid, Raphael Wimmer
Small Latency Variations Do Not Affect Player Performance in First-Person Shooters (2023) Andreas Schmid, David Halbhuber, Thomas Fischer, Raphael Wimmer, Niels Henze