Conference Presentations

2024

HHAI 2024, Malmö, Sweden
CHI 2024, Honolulu, Hawaii, USA
Pre-CHI 2024, Saarbrücken, Germany

2023

EuroVis 2023, Leipzig, Germany

Academic Volunteering

Organizing Commitee

MUC 2024, Social-Media Chair
MUM 2024 Posters, PC member
MUM 2023 Posters, PC member

Student Volunteer

HHAI 2024, Malmö, Sweden

Reviewer

CHI Papers, 2024, 2023, 2022
CHI Late-Breaking Work, 2024, 2023, 2022
IEEE COINS 2022

Recognitions

Reviews

CHI 2024 Late-Breaking Work Special Recognitions for Outstanding Reviews
CHI 2023 Papers Special Recognitions for Outstanding Reviews
CHI 2023 Late-Breaking Work Special Recognitions for Outstanding Reviews

Summer/Winter Schools

2024

SPP Winter School 2024, Mürren, Switzerland
UDE Winter School 2024, Willingen, Germany
LMU Winter School 2024, Hirschegg, Austria

2023

UDE Winter School 2023, Willingen, Germany
LMU Winter School 2023, Hirschegg, Austria

2022

SPP Winter School 2022, Borkum, Germany
UDE Winter School 2022, Winterberg, Germany

Lectures

Mensch-Computer Interaction (2021-2024) - Master Course

Co-lecturer together with Jonas Auda, Jonas Keppel, Nick Wittig, Uwe Gruenefeld, and Prof. Dr. Stefan Schneegass

The field of Human Computer Interaction (HCI) is a constantly growing area of research. In this lecture directed to master students, we provide an overview of the field. In the exercise, the students learn gain knowledge about locomotin in VR, creating interfaces with eye-tracking, designing wearables and biometric user authentification in VR.

Seminar "Mensch-Computer Interaktion/ Ubiquitäre Interaktion" (2022-2024)

Co-lecturer together with Jonas Auda, Jonas Keppel, Marion Koelle, Jonathan Liebers, Alia Saad, Marvin Strauß, Nick Wittig, and Prof. Dr. Stefan Schneegass

In this seminar, students gain knowledge about scientific writing and presentation. Their seminar papers cover various topics of human-computer interaction.

Intelligent User-Interfaces (2022 - 2024)

Co-lecturer together with Uwe Gruenefeld, Jonas Keppel, and Prof. Dr. Stefan Schneegass

The lecture Intelligent User Interfaces covers current research topics at the interface between human-computer interaction and machine learning. Different types of user interfaces are covered (e.g. natural language processing, gesture control, recommender systems, explainable AI). The aim is to provide students with the competence to evaluate existing user interfaces, to implement them themselves and to assess future developments in this area.

The lecture takes place as a block course. In total, students will participate in three blocks in which content will be presented and discussed in lecture style. Each block is followed by a practical part in which students work in groups of three on a thematically specified intelligent user interface and develop an implementation of this. The course ends with a presentation of all implemented projects and an oral examination.