About mePublicationsMiscellaneous

Andreas Fender

I am a researcher in Human-computer interaction (HCI) at University of Stuttgart. I was previously a PostDoc at ETH Zurich (Switzerland) and University of Sussex (England). During my PhD at Aarhus University (Denmark), I was a research intern at Microsoft Research (USA). My main research interests are input methods for productivity and artistic use cases, sometimes in conjunction with Augmented and Virtual Reality (AR/VR).



We are hiring at Uni­ver­si­ty of Stutt­gart

The Desired Realities project (see concept video) recently got funded by DFG (Deutsche Forschungs­gemein­schaft). For this project, we are currently searching for PhD students to work on virtual multiverses and uncertain interaction. For more information about the position, as well as other PhD and PostDoc positions within Mixed Reality, collaboration, digital art, input devices, and more, see the hiring page. For questions, feel free to reach out to me and Dieter Schmalstieg.

Recent UIST 2025 publication: GuitarPie

We recently presented GuitarPie at UIST 2025 in Busan, South Korea. More information and the paper PDF can be found in Publications:GuitarPie.

For a brief summary, check out the GuitarPie overview video (YouTube link).

Previous UIST 2024 publication

I presented OptiBasePen at UIST 2024 in Pittsburgh, USA. More information and the paper PDF can be found in Publications:OptiBasePen.

Previous UIST publication: PressurePick (UIST '23)

PressurePick measures the pressure that a guitarist applies to the guitar pick while practicing songs. Afterwards, our front end displays the estimated muscle tension for each part of the song encouraging learners to relax their muscles while practicing. More information and the paper PDF can be found in Publications:PressurePick

Previous CHI publication: InfinitePaint (CHI '23)

InfinitePaint is a Virtual Reality painting application that uses real paper and wet brushes. More information and the paper PDF can be found in Publications:InfinitePaint

Previous UIST publication: DeltaPen (UIST '22)

DeltaPen can be used on practically any surface without requiring a specialized tablet surface (i.e., no drawing tablet or capacitive touch surface needed). The pen tracks its own movement and rotation without external sensing. More information and the paper PDF can be found in Publications:DeltaPen.

Previous CHI publication: Causality-preserving Asynchronous Reality (CHI '22)

A novel approach for altering the time dimension for immersed users. More information and the paper PDF can be found in Publications:AsynchronousReality.