Immersive Computing Lab

Human-Centered Computing @ Graz University of Technology

Mission & Vision

The Immersive Computing Lab at the Human-Centered Computing (HCC) Group of Graz University of Technology focuses on advancing human-centered AI and immersive technologies that seamlessly blend the physical and digital worlds. Our mission is to develop the next generation of AR/VR computing platforms that enhance human capabilities, enable deep and meaningful remote interactions, and empower individuals to operate in complex, digitally-augmented environments.

Our vision is to create immersive systems that redefine collaboration, learning, and telepresence, bridging distances through cutting-edge virtual and robotic interfaces. We aim to augment human perception and action in remote or hazardous environments while ensuring that digital experiences remain intuitive, natural, and socially engaging.

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Key Research Areas

Telepresence and Remote Collaboration

Merging VR, AI, and robotics to create realistic telepresence experiences for work, training, and social interactions.

Extended Reality (XR) for Industrial Applications

Developing digital twins, mixed reality training, and simulation environments for fields such as mining, manufacturing, and healthcare.

Neurophysiological and Psychological Impact of Immersion

Investigating how immersive technologies influence human cognition, behavior, and neural activity through collaborations with KFU using VR-integrated MRI studies.

AI-Driven Interaction & Intelligent Assistance

Exploring adaptive AI systems that enhance human-machine collaboration in extended reality settings.

Latest Achievements

Subtle depth cues

We introduce artificial subtle cues to enhance natural depth information in VR.

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Eliciting Error Potentials in VR Flight Simulation

We studied decoding of error potentials in pupil size data and with hybrid approach combining pupil and EEG signals.

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Immersive Analytics for Motorsports

We present novel methods to analyze racing data.

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Projects

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Human-Centered Computing Labs: Infrastructure for Telepresence

The infrastructure comprises technologies to develop and study remote work, collaboration, and teleoperation in general with the focus on providing the closest physical experience to being physically present. It is unique in that it comprises complete solutions:

  1. Capture and digitalization of remote environments,
  2. Immersive experience with extended sensory input and total freedom of motion,
  3. Robotic interfaces for remote interaction and teleoperation.
This lab should allow experimentation with diverse technologies to plan deployments and training for efficient remote work. It is intended to allow researchers to deploy new digital technologies focusing on the remote exploration, planning, and operation of equipment with sufficient spatial and overall sensory detail to be indistinguishable or even superior to being physically present.

This lab is partially funded by the Austrian Federal Ministry of Education, Science and Research through the HCC Telepresence with Robots joint infrastructure lab.

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Publications

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Counting on AR: EEG responses to incongruent information with real-world context

Wimmer, Pepicelli, Volmer, ElSayed, Cunningham, Thomas, Müller-Putz, Veas. 2025. Computers in Biology and Medicine [185] 109483

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Subtle Cueing For Improving Depth Perception in Virtual Reality

Zaman, Kruijff, Veas, Krajnc, El Sayed, IEEE International Symposium on Mixed and Augmented Reality ISMAR, 2024

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EEG-based Incongruency Decoding in AR with sLDA, SVM, and EEGNet

Wimmer, Veas, Müller-Putz, Current Directions in Biomedical Engineering, de Grutyer, 2024

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Multimodal decoding of error processing in a virtual reality flight simulation

Wimmer, Weidinger, Veas, Müller-Putz. Sci Rep 14, 9221 (2024)

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Agents of MASK: Mobile Analytics from Situated Knowledge

ElSayed, Veas, Schmalstieg. 2024. Interactions 31, 1

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AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments

Duricic, Weidinger, El Sayed, Kowald, Veas. 2024. In 27th European Conference on Artificial Intelligence.

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EEG-Based Error Detection Can Challenge Human Reaction Time in a VR Navigation Task

Wimmer, Weidinger; ElSayed; Müller-Putz; Veas. 2024. IEEE International Symposium on Mixed and Augmented Reality ISMAR.

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Immersive Analysis of Spatiotemporal Racing Data

Weidinger, El Sayed, Luzhnica, Schreck, Veas. 2023. ACM Symposium on Spatial User Interaction.

Collaborators and Groups Working in this Lab

This lab is partially funded by the Austrian Federal Ministry of Education, Science and Research through the HCC Telepresence with Robots joint infrastructure lab.

Multiple groups led by world-class renown researchers collaborate with us at the Immersive Computing Lab:

Interested in our research or want to collaborate? Reach out to us and join our mission to redefine how we perceive and experience reality.

Get in Touch