Behavioral user models provide accurate predictions of user intent in on-screen interactions, effectively reducing system lag. The adoption of wearable devices, such as neural sensors, enabled psychophysiological models to resolve further uncertainty about the user's intent. Today, movement sensors in combination with wearables enable immediate, natural, interactions in extended realities without lag or proxy control devices. My research is motivated by what follows step: How to design novel interactions with extended realities that still feel natural?
In this project, we will build a prototype to accelerate human movements. An EEG classifier will be trained to predict the hand gesture required to grab an object on a table.
Our department (Biopsychology and Neuroergonomics), headed by Prof. Dr. Klaus Gramann, comprises an interdisciplinary team of researchers from a variety of scientific fields and is hosted within the Institute of Psychology and Ergonomics with teaching obligations in the Master’s Program “Human Factors”. We are situated on the main campus of TU Berlin that is located in the west of Berlin with good access to public transport (the Berlin Zoo railway station). You will be seated in our main office space with your own workplace and PC. The university is known for its engineering programmes as well as its high number of international students.
I research how to leverage neural interface technologies for human-computer interaction (HCI). Previously, I have worked in a joint project with TU Berlin and the Swartz Center for Computational Neuroscience at UC San Diego researching spatial learning. Recently, I interned at Chatham Labs (acquired by Facebook). In the future, I want to realize novel experiences in AR/VR that feel natural. My goal is to design adaptive technologies in which computer and user coexist and together create truly connected experiences for the user.
Please contact me at [email protected]. If you have the time, add a brief (<200 words) cover letter or a link to something interesting you did and are proud of.
Affordance++ | Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Designing Interactions Beyond Conscious Control: A New Model for Wearable Interfaces
Human movement augmentation and how to make it a reality
Perceiving objects by their function: An EEG study on feature saliency and prehensile affordances
The affordance-matching hypothesis: how objects guide action understanding and prediction