SIPLAB: Sensing, Interaction & Perception Lab
- TapType
- Glabella
- TransforMR
- CapContact
- Haptic PIVOT
- Biometric Touch Sensing
In the SIPLAB at ETH Zürich, we're a cross-disciplinary research group in computational interaction, physical computing, and mobile health. Our work straddles human-computer interaction, virtual reality, ubiquitous computing, wearables, and applied machine learning. We are part of the Department of Computer Science (D-INFK) and affiliated with the Department of Information Technology and Electrical Engineering (D-ITET).
sensory augmentation
for perceptive systems & human perception
computational interaction
for embodied input & situated intelligence
predictive mobile health
signal processing for physiological data
Recent research
- ACM CHI 2022. Causality-preserving Asynchronous Reality. (Best paper award)
- ACM CHI 2022. TapType: Ten-finger text entry on everyday surfaces via Bayesian inference.
- ACM CHI 2022. Affective State Prediction from Smartphone Touch and Sensor Data in the Wild.
- ACM CHI 2022. Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows.
- Nature Scientific Reports 2022. Virtual reality reduces COVID‑19 vaccine hesitancy in the wild: a randomized trial.
- IEEE VR 2022. The Chaotic Behavior of Redirection -- Revisiting Simulations in Redirected Walking. (Best paper award)
Affiliations and collaborations
In our projects, we also collaborate with faculty and students at the Department of Health Sciences and Technology (D-HEST), the Robotics, Systems and Control (ETH RSC) program at the Department of Mechanical and Process Engineering (D-MAVT), and the Faculty of Medicine at University of Zurich.
We are part of ETH's Competence Centre for Rehabilitation Engineering and Science (ETH RESC). We are also affiliated with the ETH AI Center, the Max Planck ETH Center for Learning Systems (CLS), and the Zurich Information Security & Privacy Center (ZISC).